Información de la Revista
Sensors (Sensors)
http://www.mdpi.com/journal/sensors
Factor de Impacto:
3.031
Editor:
MDPI
ISSN:
1424-8220
Vistas:
7702
Seguidores:
17

Solicitud de Artículos
Sensors (ISSN 1424-8220) provides an advanced forum for the science and technology of sensor and its applications. It publishes reviews (including comprehensive reviews on the complete sensors products), regular research papers and short notes. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. The full experimental details must be provided so that the results can be reproduced. There are, in addition, three unique features of this journal:
    Manuscripts regarding research proposals and research ideas are particularly welcome.
    Electronic files and software providing full details of calculation and experimental procedures can be deposited as supplementary material.
    We also accept manuscripts regarding research projects financed with public funds in order that reach a broader audience.

Scope
    Physical sensors
    Chemical sensors
    Biosensors
    Lab-on-a-chip
    Remote sensors
    Sensor networks
    Smart/Intelligent sensors
    Sensor devices
    Sensor technology and application
    Sensing principles
    Optoelectronic and photonic sensors
    Optomechanical sensors
    Sensor arrays and Chemometrics
    Micro and nanosensors
    Internet of Things
    Signal processing, data fusion and deep learning in sensor systems
    Sensor interface
    Human-Computer Interaction
    Advanced materials for sensing
    Sensing systems
    MEMS/NEMS
    Localization and object tracking
    Sensing and imaging
    Image sensors
    Vision/camera based sensors
    Action recognition
    Machine/deep learning and artificial intelligence in sensing and imaging
    3D sensing
    Communications and signal processing
    Wearable sensors, devices and electronics
Última Actualización Por Jayleen Chen en 2020-12-30
Special Issues
Special Issue on Communications Signal Processing and Networking in the Pandemic
Día de Entrega: 2021-02-20

Special Issue Information It is a matter of fact that we are living in an exceptional period of modern history that is demanding us to deeply change our lifestyle—especially with reference to the way we work, conduct social activities, practice sport, go out for dinner, and visit other places, just to cite a few. This is happening due to an enemy, a virus, of which some had foreseen the arrival but only few have worked to prepare our society to fight. We now find ourselves having to decide on the strategy, to design the weapons, and to use them to fight against this unexpected enemy, and all this requires putting together the knowledge, intelligence, and tools that humans have developed so far in all scientific fields. In this respect, communications signal processing and networking technologies represent some of the most prominent ones, as they can significantly help in one of the most effective strategies to undertake the fight—that is, the 3T plan (test, track, and treat). Indeed, the “track” component can significantly benefit from solutions based on the processing of personal device signals. We also know that the crowding of people should be avoided, and that crowding conditions could be automatically detected (e.g., by the use of optical systems, Lidar techniques, and WiFi sniffing solutions). Furthermore, the communication infrastructure is playing a key role in enabling our daily work and leisure activities, while preserving the physical distance among individuals as required to avoid the spread of the virus. Remarkably, this infrastructure has been able to support an unexpected, unforeseeable, sudden and significant traffic increase. This Special Issue solicits innovative contributions from both academia and industry in the field of communications signal processing and networking systems, architectures, tools, and devices that may help humanity effectively face this unprecedented pandemic scenario. Topics of interest may include, but are not limited to, the following: Signal processing for people counting (e.g., WiFi sniffing, video and audio processing, Lidar systems); Prediction of virus spreading; Systems for contact tracing; Modelling of virus spreading in complex networks; Signal processing for distance estimation; Sensors for health condition estimation and diagnosis; Solutions for crowd alerting; System for patient monitoring; Solutions for digital learning during the pandemic; Solutions for smart working during the pandemic; Robust networking solutions in the pandemic; Privacy issues and privacy-preserving techniques during contact tracing. Special Issue Editors: Prof. Riccardo Raheli Website Guest Editor Università di Parma, Dipartimento di Ingegneria e Architettura, Parco Area delle Scienze 181A, 43124 Parma, Italy Interests: wireless communication; multimedia signal processing Prof. Luigi Atzori Website Guest Editor University of Cagliari, Italy Interests: Internet of Things architecture; multimedia communications Manuscript Submission Information Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Última Actualización Por Jason Liu en 2020-12-30
Special Issue on Special Issue  on Smart Sensors for Biomedical Applications
Día de Entrega: 2021-02-20

link: https://www.mdpi.com/journal/sensors/special_issues/biomedical__sensors Special Issue Information Sensor technologies have been widely utilized in many applications, especially industries such as smart factories, automations, and so on. Today, advances in microelectromechanical system (MEMS) and complementary metal oxide semiconductor (CMOS) technologies enable one to miniaturize sensors and its interface systems, and as a result, sensor devices are being used for biomedical applications in order to diagnose diseases, restore neuron/muscle disorders, and analyze DNA molecules. This Special Issue on “Smart Sensors for Biomedical Applications” focuses on recent advances in wearable, implantable, flexible, optical, high-precision sensor technologies for biomedical applications and their interface systems and data analysis algorithms. This Special Issue is devoted but not limited to the following topics: Flexible/wearable/implantable sensor systems for disease diagnosis or restoration; High-precision sensors for DNA/RNA molecule analysis; Readout systems interfacing with smart sensors; Data analysis methods for smart sensor systems; Wireless sensor systems for biomedical applications. Keywords Smart sensor system Flexible sensor Wearable sensor Implantable sensor High-precision sensor Readout system Prof. Jungsuk Kim (Department of Biomedical Engineering, Gachon University, Incheon 21936, Korea) Guest Editor
Última Actualización Por Vicky Cai en 2020-12-31
Special Issue on Radio Mobile Communication System
Día de Entrega: 2021-02-28

Special Issue Information Future mobile networks (5G and beyond) are expected to lead to a big revolution, enabling ubiquitous and enhanced broadband services, smart/autonomous vehicles, intelligent transport, and complex human–machine interactions (e.g., extended reality), as well as the Internet of Things (IoT), which will lay the foundations of future smart cities, Industry 4.0 and e-health environments, and allow a massive number of machine-type devices to connect to the network edge. Planning, developing and managing such a complex and massive system of devices is a hard task, and machine learning (ML) is emerging as the technology of choice. Indeed, ML techniques can achieve outstanding performances for wireless communication applications thanks to their online learning and optimization capabilities. ML methods decrease the complexity of algorithm computations, enabled by data learning and interactions with the environment. Hence, they accelerate the convergence in finding sub-optimal solutions compared to conventional optimization techniques. This Special Issue is addressed to all the types of ML-based algorithms enabling intelligent mobile network management and optimization. Special Issue Editor Dr. Paolo Dini Guest Editor Centre Tecnológic de Telecomunicacions de Catalunya, Castelldefels, Spain Interests: sustainable networking and computing; multi-agent systems; decision making processes; distributed optimization and optimal control; machine learning; data mining and analytics Manuscript Submission Information Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Última Actualización Por Jason Liu en 2020-12-30
Special Issue on Special Issue on Intelligence Sensors and Sensing Spaces for Smart Home
Día de Entrega: 2021-02-28

link: https://www.mdpi.com/journal/sensors/special_issues/smart_home_sensors Special Issue Information Considerable research has been conducted on smart homes in the domains of architecture, engineering and construction. Many studies on smart homes have dealt with monitoring residents’ behaviors and health to provide smart services, allowing the residents to have a comfortable life and independence. Through combining intelligent sensors as part of the home components, our living spaces have become interactive sensing spaces, affecting the experience of residents. We are currently facing a big challenge due to the COVID-19 pandemic. As a result, many experts are predicting that spatial experience and overall lifestyle will change, calling for new working and living styles and sustainable home environments. Smart homes equipped with sensors could be the center of urban activities; therefore, from a cognitive perspective, sensing spaces would be one of the important research areas toward the realization of smart homes. The aim of this Special Issue is to contribute to the state of the art and to introduce the current developments on the sensor technologies and sensing spaces for smart homes. We encourage submissions that apply various methodological approaches in original research, systematic reviews, theoretical models or new developments. We also welcome experimental works and possible scenarios for smart homes that have a strong theoretical foundation. Keywords smart home intelligence sensor sensing architecture affective computing human–computer interaction building information modeling Prof. Dr. Han Jong Jun (School of Architecture, Hanyang University, Seoul 04763, Korea) Prof. Dr. Mi Jeong Kim (School of Architecture, Hanyang University, Seoul 04763, Korea) Guest Editors
Última Actualización Por Vicky Cai en 2020-12-31
Special Issue on Cognitive Radio Applications and Spectrum Management
Día de Entrega: 2021-03-10

Special Issue Information Dear Colleagues, Wireless communication networks suffer from capacity bottlenecks because the amount of available spectrum is fixed, while wireless traffic demands keep growing by approximately 50% a year. This is particularly the case in the lower spectrum bands (< 7 GHz) exhibiting most favorable propagation properties, but mmWave bands are also becoming more crowded, both for terrestrial and satellite communications. Since the early days of wireless communication, wireless spectrum has been allocated according to a static frequency plan leading to many fixed frequency bands. Most of these bands are licensed for exclusive use by specific services or radio technologies, and the process for changing spectrum allocation is extremely slow (cf. spectrum allocation for 5G taking many years). Fixed, exclusive spectrum allocation is further characterized by severe overprovisioning and underutilization both in time and geographically, hence leading to a lot of waste of precious resources. Static frequency planning is obviously not a sustainable spectrum allocation model, leaving no room for future wireless services and new wireless actors. There is no doubt that in order to increase spectrum utilization, allocation has to become more dynamic and the spectrum needs to be shared across wireless networks and network operators, not only in unlicensed but also in licensed spectrum bands. To this end, new mechanisms need to be explored for more dynamic spectrum allocation. Such techniques do not only involve cognitive radio and spectrum management capabilities but also require strategies for verification of spectrum usage ensuring interference free operation of multiple networks sharing the same spectrum and avoiding inappropriate or unauthorized use of the spectrum. Special Issue Editor Prof. Ingrid Moerman Guest Editor Universiteit Gent, Ghent, Belgium Interests: wireless networks; time-sensitive networks; deterministic wireless networks; cognitive and cooperative radio; 5G/xG Manuscript Submission Information Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Última Actualización Por Jason Liu en 2020-12-30
Special Issue on Machine Learning for Multimedia Communications
Día de Entrega: 2021-03-15

Special Issue Information Dear Colleagues, Despite the recent advances of 5G and beyond systems and multimedia coding techniques, the increasing demand for ubiquitous delivery of high-quality multimedia data ranging from high resolution video to immersive applications including AR/VR/MR continues to pose significant challenges for existing multimedia coding techniques and communication platforms that struggle to deal with the stringent requirements for low latency, high bandwidth, and ultra reliability. Machine learning has recently attracted significant attention from the multimedia community as the key enabler towards designing and building more reliable, efficient, and scalable multimedia communication systems. This Special Issue will publish the latest research and findings in machine learning enabled multimedia coding and communication systems for improved resilience, efficient coding, and reduced latency. Topics of interest include but are not limited to the following: Machine learning for image/video communications Machine learning for immersive communications Machine learning for resource allocation in multimedia communications Rate control for machine learning based video coding Machine learning for image/video coding Machine learning for network orchestration in multimedia applications Machine learning-based multimedia quality assessment Machine learning for multimedia enabled IoT Machine learning assisted cloud/edge/fog management for multimedia applications Special Issue Editors Dr. Nikolaos Thomos Guest Editor University of Essex, Colchester, UK Interests: machine learning for communications; multimedia communications; network coding; information-centric networking; joint source and channel coding; signal processing and sensor networks Dr. Eirina Bourtsoulatze Guest Editor University of Essex, Colchester, UK Interests: deep neural networks for joint source-channel coding; machine learning; network coding; wireless edge caching; multimedia communications Manuscript Submission Information Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Última Actualización Por Jason Liu en 2020-12-30
Special Issue on Communication and Data Management for Smart Grids
Día de Entrega: 2021-03-30

Special Issue Information Dear Colleagues, Energy distribution grids are complex, requiring not only advanced monitoring functionality that is reliable and capable of handling large amounts of data, but also flexible services to enable an efficient and reliable operation of the grid. While today’s methodologies and approaches have been shaped by requirements from 10–20 years ago, near-future requirements that allow high penetration of renewable energy resources lead to a demand for change in the existing infrastructure that supports the operation of grids, as well as changing load patterns due to, for example, electric vehicles. Smart solutions need to ensure data is collected, distributed, and managed for reliable grid services and need to scale well to large amounts of heterogeneous grid-related data sources. Such solutions are key to the success of future smart energy distribution grids. In this Special Issue, we encourage submissions that design and assess communication and data management solutions and related data analytics and control applications that contribute to the dependable smart energy distribution grid for the future. Topics of interest may include, but are not limited to, the following:: Advanced modeling methods for integrated distributed energy networks. Artificial intelligence and smart decision tools for distributed energy systems. Data-driven algorithms and their application in the distributed energy systems. Emerging and enabling facilities in the distributed energy systems. Special Issue Editors Dr. Rasmus Olsen Guest Editor Aalborg Universitety, Aalborg, Denmark Interests: communication networks; data analytics, smart grids, ICT infrastructure, security Dr. Hans-Peter Schwefel Guest Editor Aalborg Universitety, Aalborg, Denmark Interests: communication; data analysis; smart grids Dr. Christian Wietfeld Guest Editor TU Dortmund University, Dortmund, Germany Interests: smart grid; electric vehicle communications; cognitive networking; heterogeneous networks; mobile radio networks; multi-scale, stochastic simulation and analytical modeling Dr. Jiakun Fang Guest Editor Huazhong University of Science and Technology, Wuhan, China Interests: robust optimization; energy system integration; power-to-hydrogen Manuscript Submission Information Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Última Actualización Por Jason Liu en 2020-12-30
Special Issue on Transmission Techniques for Future Global Mobile Systems
Día de Entrega: 2021-03-30

Special Issue Information Dear Colleagues, While 5G is progressively being implemented all around the world, it is time to develop better technologies for future communications. Requirements include ubiquitous and full connectivity anywhere in the globe, be it in places with good infrastructures, like great cities and smart cities, where a massive number of phones, sensors, drones, wearables, robots, cars, and all kinds of smart objects coexist, or in other places with little or no infrastructure, like rural places, or even at the sea, the poles or the desert, be it steady or moving at high speeds, such as on an airplane or a high-speed train. Global coverage and high availability require a satellite component, so a distributed and decentralized infrastructure aided by artificial intelligence algorithms will decide, without the need for user intervention, the best possible resources to accomplish the required quality of service, such as high reliability, very low latency, high bandwidth, and/or other requirements. All of this must also work with high energy efficiency and minimum-security risks, so users can trust the system. Future networks and this connected way of life will become the so-called 4th utility. For this dream to become true it is necessary to improve on the existing 5G system with new ideas and proposals, and that is the purpose of this Special Issue. We invite all the academic community, researchers, and leaders from the industry, and innovators, to contribute with great new ideas for our common and global connected world. Special Issue Editors Prof. Francisco Cercas Guest Editor ISCTE-IUL and Instituto de Telecomunicações, Lisboa, Portugal Interests: mobile and personal communications; channel coding; satellite communications; spread spectrum communications Dr. Rui Dinis Guest Editor 1. Faculdade de Ciências e Tecnologias da Universidade Nova de Lisboa, 2825-149 Caparica, Portugal 2. Instituto de Telecomunicações, Lisboa, Portugal Interests: wireless communications; multiple antenna systems; transmission, estimation, and detection techniques Dr. Nuno Souto Guest Editor 1. ISCTE – Instituto Universitário de Lisboa, 1649-026 Lisboa, Portugal 2. Instituto de Telecomunicacoes Interests: signal processing for communications; communication signal transmission; reception and detection algorithms; channel estimation and modeling; MIMO communications; performance analysis of communication systems; optimization techniques in wireless communications; wireless, ad hoc and sensor networks Manuscript Submission Information Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Última Actualización Por Jason Liu en 2020-12-30
Special Issue on special issue on Human-Robot Collaborations in Industrial Automation
Día de Entrega: 2021-03-30

link: https://www.mdpi.com/journal/sensors/special_issues/industrial_robotics Special Issue Information Technology is changing the manufacturing world. For example, sensors are being used to track inventory from the manufacturing floor all the way to a retail shelf or a customer’s door. These types of interconnected systems have been called the fourth industrial revolution, also known as Industry 4.0, and are projected to lower manufacturing costs. As industry moves toward these integrated technologies and lower costs, engineers will need to connect these systems via the Internet of Things (IoT). These engineers will also need to design how these connected systems interact with humans. The focus of this Special Issue is the smart sensors used in these human–robot collaborations. We invite authors to submit original research, new developments, experimental works, and surveys concerning human–robot interactions. Topics of interest include, but are not limited to: Haptic feedback; Controller design; Physical devices using human–robot interactions; Algorithm development; Artificial intelligence; Machine learning; Interface design. Keywords human–robot collaboration controller design artificial intelligence haptic feedback Dr. Anne Schmitz (Department of Engineering and Technology, College of Science, Technology, Engineering, Mathematics and Management, University of Wisconsin-Stout) Guest Editor
Última Actualización Por Vicky Cai en 2020-12-31
Special Issue on Fault Diagnosis of Modern Systems and Sensors
Día de Entrega: 2021-03-31

Última Actualización Por Monica Liu en 2020-12-30
Special Issue on Fault Diagnosis of Modern Systems and Sensors
Día de Entrega: 2021-03-31

Cyber Physical Systems (CPSs) are integrations of computation, networking, and physical processes: the combination of several systems of different nature whose main purpose is to control a physical process and, through feedback, adapt itself to new conditions, in real time. CPSs promise to transform industries and many sites (hospitals, ports) in innovative ways. As an example, in the future factory robots, automated guided vehicles (AGVs), sensors, controllers, raw materials, products, and databases communicate with one another and be orchestrated through a central intelligence which monitors and controls operations at all levels. Thus, Production environments will be self-configuring, self-adjusting, and self-optimizing, leading to greater agility, flexibility, and cost effectiveness. These requirements ask for new approaches for measurement systems and techniques in order to make effective the capability of transforming data into useful information for decision makers. All the steps of the measurement process are involved: transducer selection and installation, sensor calibration, system modelling and its interaction with sensors, sensor fusion and networking, data acquisition and data processing methods and algorithms, measurement uncertainty modelling and management. Management of the sensor systems and validation techniques are also noteworthy in this scenario. This Special Issue encourages authors, from academia and industry, to submit new research results about technological innovations and novel applications for the automatic diagnosis of the systems faults, with special interest to industrial applications. The Special Issue topics include, but are not limited to: Innovative electronic and mechatronic sensors applied in production monitoring; Smart and virtual sensors for industry application; In line sensors data processing and fusion in automatic processes; Instrument Fault Detection Isolation and Accommodation (IFDI); Testing algorithms and approaches for estimating sensor reliability and life-cycle; Diagnostic Techniques applied to CPSs.
Última Actualización Por Monica Liu en 2020-12-30
Special Issue on Wearable Sensors for Health and Physiological Monitoring
Día de Entrega: 2021-03-31

https://www.mdpi.com/journal/sensors/special_issues/WSHPM Wearable biosensors for humans are an emerging field in a large number of scientific disciplines like biomedical research, mobility research, biomechanics, geoinformatics, sports science, urban planning or psychology. Besides, in everyday living these wearable biosensors are also of increased relevance as the “quantified self” movement is rapidly gaining momentum. Many people use wearable devices like fitness-watches, fitness trackers, step-counters, or medical-purpose wearables. In addition, smartphone based applications like eDiary apps offer a broad variety of possibilities and are essentially smartphone-based biosensors. Smart tissues offer enormous possibilities to measure sweat loss, fluid balance, stress level and even electrocardiographic changes in athletes, patients, and citizens alike. In recreational and professional sports especially, injury prevention, training periodization, assessment of regeneration, training stimulus or fatigue and estimation of return-to-play after medical incidents are possible applications of biosensors. Equipping sports gear such as helmets, ski boots, shoes, or bikes with biosensors may give useful insights for training purposes and injury prevention. The data derived from biosensors have even been used to change sporting rules in the past, and these data are of emerging importance in many official sporting bodies. Medical devices such as cardiac pacemakers, prostheses, or brain stimulators offer new perspectives to equip these devices with sensors or use the integrated sensors for advanced purposes such as disease monitoring, injury prevention, fitness tracking, emergency functions or interaction between patients and health care professionals. Emerging applications like biosensors in cars to detect sleepiness, medical emergencies, or stress are meanwhile under thorough scientific investigation with promising results in practical application. Coupled with established location technology like GPS trackers, measurements from wearable sensors do not only allow drawing far-reaching conclusions about individuals and their physical conditions, but also enable the performance of collective studies. For instance, analysing physiological data of larger cohorts of test persons and citizens generates new insights into urban systems, mobility infrastructures, workplace wellbeing, or urban stress and relaxation. The geospatial and temporal correlation with real-world environmental covariates (demographic statistical data, characteristics of the urban environment like traffic, greenness, tourist density, etc.) helps in revealing previously unseen patterns, supporting urban management and planning or health system management. In this Special Issue, we want to build a bridge between different scientific disciplines and offer highly innovative researchers in various fields a platform to exchange research in this exciting and emerging field: wearable sensors for health and physiological monitoring. We, the guest editors of this Special Issue, represent research backgrounds in geographic information science, mobility research, and medicine with a focus on cardiovascular medicine and sports science. We herewith stand for the highly interdisciplinary approach that is essential in research in this emerging scientific field and highly anticipate submissions from a broad range of specialities to this Special Issue. Dr. David Niederseer Assoc. Prof. Dr. Bernd Resch Guest Editors
Última Actualización Por Daisy Wang en 2020-12-31
Special Issue on Mid-Infrared Sensors and Applications
Día de Entrega: 2021-03-31

https://www.mdpi.com/journal/sensors/special_issues/MISA The mid-infrared (1.5–12 µm) spectral region is of interest for a wide variety of applications, such as environmental sensing, medical diagnostics, industry, agriculture, military defense, and basic spectroscopy. A key component of all of these applications is the sensor. With such a wide variety of applications, mid-infrared sensor requirements also vary considerably, but improvements in sensitivity, spectral coverage, and response time are often needed. At the same time, low cost, reliability, small size, and low power are needed for practical reasons. The main goal of this Special Issue is to capture the current state-of-the-art and contemporary progress and perspectives of mid-infrared sensor technology. Basic research papers, novel application demonstrations, and review articles will be considered. Prof. Dr. Kenneth Schepler University of Central Florida, Orlando, United States Guest Editor
Última Actualización Por Daisy Wang en 2020-12-31
Special Issue on EEG Sensors for Biomedical Applications
Día de Entrega: 2021-03-31

https://www.mdpi.com/journal/sensors/special_issues/EEGSBA Electroencephalography (EEG) is one of the few neuroimaging methods with the excellent time resolution required to measure rapid brain signal changes. Recent technological advances in EEG sensors and electronics (e.g., dry electrodes and miniaturized amplifiers) have made EEG systems easy-to-mount and sufficiently lightweight to enable continuous, accurate, and mobile recordings. The hardware portability, the reduced preparation times, the high spatial resolution as well as high and stable signal quality even for prolonged use, the good comfort levels, and the wireless transmission of EEG signals meet the requirements of neuroscience investigations in ecological conditions. In a clinical environment, these new hardware solutions allow patients to be more comfortable, thus permitting long-term monitoring and providing feasible approaches in rehabilitation procedures. In this perspective, the forthcoming Special Issue aims to solicit articles from academic and industrial institutions with original contributions on advances in EEG sensors that could be beneficial for biomedical applications, basic neuroscience, and clinical investigations from neonates to adults. Prof. Dr. Filippo Zappasodi Prof. Dr. Silvia Comani Dr. Patrique Fiedler Guest Editors
Última Actualización Por Daisy Wang en 2020-12-31
Special Issue on Sensors and Deep Learning for Digital Image Processing
Día de Entrega: 2021-03-31

Recently, deep learning has triggered a revolution in image processing and computer vision as it allows computational models of multiple layers to learn and represent data by imitating how the brain perceives and understands multimodal information. In recent years, deep learning methods have outperformed conventional machine learning techniques in many application areas including image enhancement, image segmentation, object detection, object recognition, scene understanding, image synthesis, healthcare and visual recognition, among many others. We would like to invite the academic and industrial research community to submit original research as well as review articles to this special issue of the Sensors journal (Impact Factor = 3.031). Topics of interest include: + Learning and Adaptive Sensor Fusion + Multisensor Data Fusion + Emerging Trends in Deep Learning Techniques + Intelligent Measurement Systems + Analysis of Image Sensor Data + Data Augmentation Techniques + Image Classification, Image Clustering, Object Detection, Object Localization, Object Detection, Image Segmentation, Image Compression + Interpolation, Denoising, Deblurring, Dehazing, Inpainting and Super-Resolution + Deep Learning Architectures for Remote Sensing + Image Quality Assessment + Deep Learning-Based Biometrics + Human/Machine Smart Interfaces + Industrial Applications + 3D Point Cloud Measurement and Processing + Image Synthesis Deadline for manuscript submissions: 31 March 2021. For submission details, please visit: https://www.mdpi.com/journal/sensors/special_issues/sens_deep_learn_image_process Guest Editors Prof. Dr. Bogdan Smolka (Silesian University of Technology, Poland) Prof. Dr. M. Emre Celebi (University of Central Arkansas, USA) Prof. Dr. Takahiko Horiuchi (Chiba University, Japan) Prof. Dr. Gianluigi Ciocca (University of Milano-Bicocca, Italy)
Última Actualización Por Dou Sun en 2020-06-17
Special Issue on Social Robots in Healthcare 
Día de Entrega: 2021-04-30

https://www.mdpi.com/journal/sensors/special_issues/SRH Social robots are a dedicated subclass of autonomous and intelligent robots that are designed to interact, communicate, and collaborate with humans. This definition is broad and extends to companion robots, pet robots, and healthcare robots, to name a few. As such, social robotics research is interdisciplinary and multifaceted, attracting researchers from engineering to neuroscience to social sciences, encompassing diverse research areas including machine learning, navigation, perception, sentience, affective competing, the Internet of Things (IoT), ethics, and safety. The current coronavirus pandemic and its toll on healthcare workers can be used as an incentive to researchers to address the design of social robots specifically for the healthcare sector. We welcome submissions devoted to this cause that includes but is not limited to the following areas: Indoor navigation (hospitals) Multi-modal perception Robotics nurse Robotics companion Affective computing SLAM in dynamic settings Behavioristic robotics Ethics and safety Object and place recognition Human–robot collaboration Disinfecting robots Prof. Dr. Ahmad Rad School of Mechatronic Systems Engineering, Simon Fraser University, Burnaby, Canada Guest Editor
Última Actualización Por Daisy Wang en 2020-12-31
Special Issue on Integrated Photonics for Novel Sensing and Measurement Applications
Día de Entrega: 2021-04-30

https://www.mdpi.com/journal/sensors/special_issues/ipnsma Integrated optics and photonics are major drivers for the development of novel sensor and measurement technology. Miniaturized and highly functional photonic components enable the realization of new and non-invasive sensor concepts with high sensitivity and specificity which open up new avenues for broad application in areas such as process and environmental monitoring, medical diagnostics, or the life sciences, among others. Such systems also meet the demand for resource and cost efficiency, which is considered a key aspect for widely establishing new technologies. This Special Issue gives an overview on the worldwide efforts in the field of sensing and measurement technology based on integrated optics and photonics approaches. It illustrates the huge potential and highlights promising research routes. We invite the contribution of articles covering integrated optical and functional sensor systems and measurement technology as well as their application. Individual topics of interest include, but are not limited to: Plasmonic sensor technology; Micro- and nanooptics-based sensing; Resonant and evanescent field sensing; Biosensor technology; Fiber-optic sensing; Integrated optofluidics; Distributed sensing and sensor networks; Interconnected sensing; Environmental monitoring and analytics; Medical optics and diagnostics; Digital health monitoring; Wearable optical sensors; Structural integrity analysis. Prof. Dr. Bernhard Wilhelm Roth Dr. Kort Bremer Dr. Lourdes S. M. Alwis Guest Editors
Última Actualización Por Daisy Wang en 2020-12-31
Special Issue on Advanced Biosensors for Human Disease Detection and Monitoring
Día de Entrega: 2021-04-30

https://www.mdpi.com/journal/sensors/special_issues/ABHDDM Innovative technology such as sensors and biosensors would represent a powerful tool in clinical applications for identifying health and/or pathological status and monitoring changes during the subject life and activities. Early detection plays a crucial role in treatment planning and prognostic evaluation. An early assessment of the pathological status of a patient, tracing of disease progression, and monitoring of therapy efficacy are primary objectives in healthcare research. In this respect, biosensors are very promising tools for disease diagnosis as well as for monitoring stable status or acute relapses due to biomarker detection. Compared to traditional approaches, such as immunochemical methods or analytical techniques, biosensors’ main advantages are represented by their ease of use, reduced cost, portability, and possibility of online monitoring of biomarkers by in situ measurements mainly due to their integration into lab-on-chip (LoC) and point-of-care (PoC) devices, as well as the their use with fragile people (e.g., newborns, elderly, disabled people) or in extreme conditions (e.g., space missions). In addition, continuous evolution of micro- and nanobiotechnologies has provided the achievement of that level of sensitivity and accuracy that allows the implementation of biosensors in clinical research in an increasingly targeted way. This Special Issue invites contributions, as original research articles or reviews, on the current advances in biosensor technology and improvements, especially focused on clinical and environmental monitoring applications, as well as on the improvements reached by biotechnologies, including materials, device design and fabrication, and analytical techniques. Biosensors concerning biological matrices non-invasively sampled will be particularly welcome. Dr. Maria Giovanna Trivella Prof. Dr. Abdelhamid Errachid Dr. Francesca G. Bellagambi Guest Editors
Última Actualización Por Daisy Wang en 2020-12-31
Special Issue on special issue on New Trends in Wireless Body Area Networks
Día de Entrega: 2021-04-30

link: https://www.mdpi.com/journal/sensors/special_issues/WBAN Special Issue Information Recent advancements in the state-of-the-art technologies in healthcare systems have enabled the development of unobtrusive health monitoring in a cost-effective, interactive, and safe manner. The requirements of such systems include real-time processing, high reliability, fault tolerance, security and privacy, and high quality of service. To meet these requirements and implement advanced healthcare systems, networking technology based on wireless body area networks is essential. This Special Issue solicits the submission of high-quality unpublished review and research articles that aim at addressing technical issues and challenges associated with wireless body area networks. Submitted papers should emphasize on the development of new protocols and focus on performance evaluation and comparison with existing standards and practices. Both theoretical and experimental studies on practical applications are encouraged. Topics of interest include but are not limited to: Network architecture for WBAN; Machine learning for WBAN; Resource allocation algorithms in WBAN WBAN routing and MAC protocols; M2M communication protocols; Security and privacy; Experimental platforms for WBAN; Intra-WBAN and inter-WBAN protocol. Prof. Dr. Ki Il Kim (Department of Computer Science and Engineering, Chungnam National University) Dr. Shuhui Grace YANG (Department of Mathematics, Statistics, and Computer Science, Purdue University Northwest) Guest Editors
Última Actualización Por Vicky Cai en 2020-12-31
Special Issue on special issue on Sensing, Modelling and Using Spatial Motion Patterns for Dynamics-Aware Mobile Robots
Día de Entrega: 2021-05-14

link: https://www.mdpi.com/journal/sensors/special_issues/Dynamics-Aware_Mobile_Robots Special Issue Information Mobile robots are increasingly being deployed outside of labs and in real-world applications. This makes it ever more important to explicitly account for the dynamics present in real-world environments over longer timescales. The dynamic nature of the world faced by robots notably includes flows and activity patterns of people, vehicles, and other robots, as well as dynamic and semi-static objects; but also flows of air and water currents, e.g., in applications of air and surface vessels. Constructing, and making use of, representations that explicitly model dynamics can facilitate both safer and more efficient robots, and also better understanding and predictions of flows and other spatiotemporal patterns. There are several open research questions related to dynamics awareness for mobile robots. These involve, among many other things, studying representations of dynamics in terms of efficiency, accuracy, expressiveness, and usability; exploring how these representations can be used to facilitate dynamics-aware planning and human–robot spatial interaction; active perception and other measures for improving and maintaining the learned representations during long-term operation; as well as using robots, possibly integrated into stationary sensor networks, for building models of flow for, e.g., ventilation monitoring and surveillance. The aim of this Special Issue is to bring out and highlight contributions in modeling, exploring, and exploiting information about the spatiotemporal patterns that govern dynamics, especially with applications in mobile robotics. Therefore, prospective authors are invited to submit original research contributions or survey articles for review and publication in the Sensors open access journal. Topics of interest include (but are not limited to) the following: Maps of dynamics and flow; Perception of spatial dynamics; Dynamics-aware localization; Dynamics-aware motion planning; Dynamics-aware coordination; Dynamics-aware reasoning; Planning for dynamics perception; Active perception and exploration for dynamics; Dynamics-awareness for human–robot spatial interaction; Dynamics-awareness for motion prediction; Surveillance and crowd analysis. Dr. Martin Magnusson (AASS Mobile Robotics and Olfaction Lab, Örebro University) Dr. Tomasz Piotr Kucner (AASS Mobile Robotics and Olfaction Lab, Örebro University) Prof. Dr. Achim J. Lilienthal (AASS Mobile Robotics and Olfaction Lab, Örebro University) Guest Editors
Última Actualización Por Vicky Cai en 2020-12-31
Special Issue on special issue on Advances in Optical Proximity Sensor Based Interferometry
Día de Entrega: 2021-05-30

link: https://www.mdpi.com/journal/sensors/special_issues/Optical_Proximity_Sensor Special Issue Information This Special Issue is devoted to the description of development, testing, and modeling of optical proximity sensors, fiber or in air, based on the interferometry technique. The passage detection of an object represents a widely diffused measurement in industrial applications, and it is typically implemented by light barriers or proximity sensors. Different techniques are employed for realizing proximity sensors, based on the measurement of electric or magnetic field (inductive or capacitive sensors), ultrasonic waves or through optical approaches. Optoelectronic detectors are widely diffused, because they do not require metal targets such as inductive sensors, and they are faster than capacitive ones. The optical sensor can be also very low-cost, and it typically shows a good spatial resolution when compared to ultrasound devices. We solicit original research papers and review articles in this Special Issue. This Special Issue aims to highlight recent advances in the theory and practice of optical proximity sensors. The topics include but are not limited to: Development of novel optical proximity sensors based on interferometry, in air or fiber-based; Theoretical advancements in interferometric technique that can be used in proximity sensors; Measurement and comparison of the performances of different optical proximity sensors based on interferometry; Measurement and comparison of the performances of different optical proximity sensors based on interferometry with others based on different techniques; Theoretical simulation of different interferometric configuration for optical proximity detection; Different application for optical proximity sensors. Prof. Dr. Alessandro Pesatori (Politecnico di Milano) Guest Editor
Última Actualización Por Vicky Cai en 2020-12-31
Special Issue on Advanced Fiber Photonic Devices and Sensors
Día de Entrega: 2021-05-31

https://www.mdpi.com/journal/sensors/special_issues/AFPDS Structured optical fibers such as photonic crystal fibers, multicore fibers, and microfibers have attracted intense interest and have been widely used in lasers, telecommunications, and sensing applications. The structural freedom of these types of specialty optical fibers opens up new sensing applications. The development of advanced fiber photonic devices and technologies is key to supporting their potential industrial applications. This Special Issue is addressed but not limited to the topics below. Original papers, letters and reviews are all welcome. Interconnects of specialty optical fibers; Coupling mechanism and devices of structured optical fibers; Polarization devices of structured optical fibers; Photonic crystal fiber sensors; Optical microfiber sensors; Multicore fiber sensors; Fiber-based Internet of Things. Prof. Dr. Limin Xiao Dr. Sergio G. Leon-Saval Dr. Tijmen G. Euser Guest Editors
Última Actualización Por Daisy Wang en 2020-12-31
Special Issue on Intelligent Sensing in Biomedical Applications
Día de Entrega: 2021-05-31

https://www.mdpi.com/journal/sensors/special_issues/ISBAs At present, monitoring the course of the disease and the effect of therapy in clinical practice mostly depends on clinical scales and clinical impression. Such a description of the development of the patient’s condition is subject to intra-individual and inter-individual variability. In addition, such monitoring takes place only for a short time, mostly in the unnatural conditions of medical facilities. On the other hand, modern sensors enable increasingly accurate long-term monitoring of many important quantities. Reducing the variability of patient follow-up makes it possible to reduce the number of subjects in clinical trials and thus significantly reduce the cost of the studies. It also reduces the likelihood of false-negative results, thus saving the cost of developing new treatments. Smart sensor devices make it possible to acquire, process, and transmit data to users. Smart implants like orthopedic implants instrumented with strain gauges increase their lifespan. Retina implant systems using image sensors restore vision. Wearable body sensor networks comprising various types of sensors can monitor the course of vital variables for a long time, as well as the signal needed for therapeutic intervention. Biosensors enable the monitoring of physical activities. Results of machine learning methods contribute to the diagnosis of neurological disorders and the detection of tissue changes. This Special Issue is addressed to all types of smart sensors designed for biomedical applications. The topic of this Special Issue concerns the following areas of interest of the magazine: biosensors, sensor networks, smart/intelligent sensors, signal processing, data fusion, and deep learning in sensor systems. Dr. Oldřich Vyšata Prof. Dr. Aleš Procházka Dr. Rafael Doležal Guest Editors
Última Actualización Por Daisy Wang en 2020-12-31
Special Issue on Sensing and Imaging Technology in Dentistry
Día de Entrega: 2021-05-31

https://www.mdpi.com/journal/sensors/special_issues/SITD Recent developments in sensing and imaging technologies have made a huge impact on the dental field. This impact involves technology applications from the research benchtop to the clinical chairside, and at times both. Today, dental imaging and sensing tools in clinical dentistry range from applications in the phases of diagnosis and treatment planning to the phases of implementation, monitoring, and maintenance using optical and X-ray sensors in various dental fields; general dentistry, preventive dentistry, operative dentistry, public health, periodontics, prosthodontics, endodontics, oral surgery, oral medicine, pathology, oral and maxillofacial radiology, and orthodontics. Non-destructive testing and imaging technologies have improved our understanding of dental material–tissue interactions in the dental field, particularly recent high-resolution three-dimensional computer tomography techniques. Following the success of our Sensors Special Issue on “Sensors in Dentistry”, we would like to once again invite our colleagues from across the world to contribute their expertise, insights, and findings in the form of original research articles and reviews for the current Special Issue, entitled “Sensing and Imaging Technology in Dentistry”. This issue will continue to cover all aspects of clinical and research applications of sensing technologies operating in any region of the electromagnetic spectrum in the field of dentistry. Special attention will be given to 3D and tomographic imaging techniques in the dental field, including but not limited to optical coherence tomography, micro-computed tomography, intraoral optical sensors, and scanners. Articles focusing on the development of other cutting-edge sensors and detectors for intraoral use, particularly early detection, are also welcome. Dr. Alireza Sadr Dr. Yasushi Shimada Dr. Turki A. Bakhsh Guest Editors
Última Actualización Por Daisy Wang en 2020-12-31
Special Issue on Distributed Optical Fiber Sensors: Applications and Technology
Día de Entrega: 2021-05-31

https://www.mdpi.com/journal/sensors/special_issues/distributed_optical_fiber_sensors One of the key advantages of optical fiber sensors is their ability to perform distributed measurements, where small fiber sections act as individual gauges. Once founded as a relatively simple tool for inspection of optical fiber communication lines, this is currently one of the most rapidly developing areas of photonics with applications ranging from the oil and gas industry to biomedical inspection with sub-mm spatial resolutions. The Special Issue will focus on novel applications as well as the aspects of signal processing and physical principles of distributed optical fiber sensing. The main aim is to cover the diversity of the sensing principles and applications as widely as possible. The topic of this special issue is in accordance with the scope of the Sensors journal, as it will focus on various aspects of one of the most promising directions of research in the sensors community—distributed optical fiber sensors. While this field is mature enough to have already drawn considerable attention from researchers around the world, it is still evolving at a rapid rate, with new principles and applications being proposed on a regular basis. Dr. Nikolai Ushakov Dr. Leonid B. Liokumovich Dr. Arthur H. Hartog Guest Editors
Última Actualización Por Daisy Wang en 2020-12-31
Special Issue on special issue on Smart Sensors for Wearable Applications
Día de Entrega: 2021-06-20

link: https://www.mdpi.com/journal/sensors/special_issues/Sensors_Wearable_Applications Special Issue Information The evolution of the Internet of Things (IoT) has enabled the emergence of compact and conformal devices that could be embedded in individual bodies, revolutionizing the way we interact with the world and augmenting our quality of life. These devices are known as smart wearable or mobile health technology devices. They come in different form factors of body-worn objects, such as watches, glasses, clothing, and even tattoo-like patches using advanced developments in the area of flexible/stretchable electronics. The diversity and innovation of new materials, form factor, and design as well as the integration of information coming from different smart sensors is key to expanding the potential of the application of mobile health technology. Applications are limitless and span the fields of environmental monitoring, prosthetics & robotics, healthcare and wellness, biomedical systems, ocean health study, fitness tracking, sports and wellness, mobile gaming, etc. This Special Issue is intended to report recent advances in the multidisciplinary field of wearable sensing technologies. Articles will address topics that include smart sensors, wearable sensing technologies, smart textiles, smart materials, implantable sensors, flexible and stretchable sensors, energy harvesting in wearables, as well as low-power data acquisition and data transmission in support of smart sensors in Internet of Things applications. A discussion on the challenges and gaps that still remain to achieve desired characteristics and performance from wearable sensors is desired. We aim to report innovation in research but also help clarify necessary steps still needed for practical translation to the hands of the consumer. Keywords Mobile health technology Wearable technology Smart sensors Flexible and stretchable sensors Optic sensors Integrative mobile technology Clinical and imaging correlation of digital data E-skin Healthcare and wellness Internet of Things (IoT) Environmental Monitoring Robotics Mobile gaming Brain mapping Dr. Andrea Pilotto (Dipartimento di Scienze Cliniche e Sperimentali, University of Brescia) Dr. Joanna Nassar (Department of Biology,Stanford University) Guest Editors
Última Actualización Por Vicky Cai en 2020-12-31
Special Issue on special issue on Sensing and Monitoring Electric and Electromagnetic Quantities in Railways
Día de Entrega: 2021-06-20

link: https://www.mdpi.com/journal/sensors/special_issues/Electric_Sensing_Railways Special Issue Information Measurement and monitoring of electrical and electromagnetic quantities in railways has always been an important part of the whole assessment of correct operation of the supply circuit, rolling stock, signaling, and control. The new challenges for sustainable mobility, for impact on third parties, and for high levels of reliability and continuity of service require the development and deployment of new monitoring architectures, integrating various types of smart sensing technologies: Resulting architectures may extend over the entire transportation system, being integrated with the existing infrastructure and exploiting interconnection and data exchange offered by modern communication means, as well as power harvesting. More traditional applications cover power quality and compatibility with signaling and control systems. Examples of more recent applications range from the monitoring and quantification of the energy efficiency of the whole system (installing sensing units both on-board trains and in supply substations) to fostering predictive maintenance of the current collection system (with existing applications for catenary–pantograph contact quality covering a wide range of physical quantities, with a tendency to integrate modern energy meters with additional monitoring functions). Other applications may focus on the track, monitoring stray current, and corrosion (with challenges of data analysis on different time scales, depending also on the characteristics of the environmental and service conditions), as well as verifying the physical integrity of the track (exploiting existing signaling circuits, or using magnetic, traveling wave or ultrasound excitation). This Special Issue thus cordially invites contributions on electrical and electromagnetic sensors, smart sensors and measurement, and monitoring architectures for railways. Keywords voltage sensor current sensor energy efficiency power quality stray current stray current control pantograph arcing rail diagnostic sensor architecture Dr. Domenico Giordano (National Institute of Metrological Research) Prof. Dr. Andrea Mariscotti (DITEN, University of Genova) Guest Editors
Última Actualización Por Vicky Cai en 2020-12-31
Special Issue on special issue on UAV-Based Technology for IoT
Día de Entrega: 2021-06-30

link: https://www.mdpi.com/journal/sensors/special_issues/UAV_IOT Special Issue Information As ubiquitous connectivity and long-range radio coverage are required in many emerging Internet of Things (IoT) applications in multidisciplinary fields, supplementing and extending the terrestrial and satellite communication infrastructure is of paramount importance. In this respect, unmanned aerial vehicles (UAVs) are a promising candidate technology for attaining highly reliable and effective connections between sensors and data collection points at high elevation angles and across urban, suburban, and rural terrains. Nevertheless, there exist several scientific and technical challenges for enabling the successful and long-term operation of UAV-based IoT for both massive machine type communications (mMTC)-based and ultra-reliable/low-latency communications (URLLC)-based delay-sensitive scenarios. To meet the mMTC and URLLC presuppositions in highly dynamic and heterogeneous environments, where the UAVs act as autonomous communicating nodes or aerial relays, advanced sensor, antenna, communication, networking, and computing technologies should be proposed, revised, and developed. This ambiguous landscape regarding UAVs and IoT has motivated the present Special Issue, whose aim is to introduce current research activities and prospective solutions towards the evolution of UAV-based IoT technologies. Therefore, potential authors are invited to submit original research articles or surveys, new developments, and substantial experimental works. Topics of interest include (but are not limited to) the following: Sensor and actuator technologies Navigation, detection, and localization systems Network architectures and protocols Channel modeling and measurement Wireless communication technologies, e.g., mmWave, massive multiple input multiple output (MIMO), non-orthogonal multiple access (NOMA), free-space optical (FSO) Interference and resource management Energy harvesting and wireless power transmission Trajectory optimization Mobile edge computing (MEC) Software-defined radio (SDR), software-defined networking (SDN), and network function virtualization (NFV) Machine learning and deep learning methods Safety, security, and privacy issues Prototype results, testbeds, and new applications Dr. Emmanouel T. Michailidis (Department of Electrical and Electronics Engineering, Faculty of Engineering, University of West Attica) Prof. Dr. Petros S. Bithas (General Department, National and Kapodistrian University of Athens) Guest Editors
Última Actualización Por Vicky Cai en 2020-12-31
Special Issue on Surface Plasmon Sensors
Día de Entrega: 2021-06-30

https://www.mdpi.com/journal/sensors/special_issues/surface_plasmon_sensors In recent years, basic and applied research on surface plasmon resonance (SPR) has been actively conducted. In particular, the SPR sensor is one of the devices that has been actively investigated in applied research of an optical platform using the propagation of surface plasmon polaritons. The utilization of nanostructures has enabled the development of more sensitive detection formats adapted to multiplexed configurations. Specifically, the unique optical and electronic properties of nanomaterials have permitted the advancement of localized surface plasmon resonance (LSPR) and surface-enhanced raman scattering (SERS) applications. Likewise, the fabrication of nanopatterned structures through lithographic patterning has provided high spatial resolution surface structures while improving the sensitivity of the systems. In this Special Issue, we would like to compile the latest research results on the theory and experiments regarding the measurement principle, detection formats, performances, and applications for surface plasmon sensors, and to discuss the current status and future prospects of surface plasmon sensor performance. Dr. Atsushi Motogaito Prof. Dr. Elba Mauriz Guest Editors
Última Actualización Por Daisy Wang en 2020-12-31
Special Issue on Wearable Sensors for Gait and Falls Monitoring
Día de Entrega: 2021-06-30

https://www.mdpi.com/journal/sensors/special_issues/WSGFM Falls and any resulting injuries and disabilities remain major public health concerns worldwide. The Global Burden of Diseases, Injuries and Risk Factors Study 2017 ranked falls as the 18th leading cause of age-standardized rates of disability worldwide. Gait analysis and falls go hand in hand, as abnormalities in the former often lead to the latter. Over the years there have been considerable advancements in health assessment technology using sensors coupled to the rise of big data. Such advances continue to drive important research on new applications for this technology to support the management of this major societal healthcare challenge. Yet more needs to be done. The ongoing COVID-19 pandemic and the resultant need for self-isolation and social distancing have presented new challenges to the delivery of effective healthcare remotely. Such challenges also create new opportunities. There is a need to develop newer and better technologies that can support digital transformation to be able to assess gait, predict and detect falls, reduce injury and facilitate the remote delivery of healthcare in newer and innovative ways and to reduce health inequity. This Special Issue of Sensors aims to promote and support leading research in this area. Prof. Dr. Michael Vassallo Prof. Dr. Hongnian Yu Prof. Dr. Yanhong Liu Dr. Arif Reza Anwary Guest Editors
Última Actualización Por Daisy Wang en 2020-12-31
Special Issue on Multipixels Single Photon Detectors for Quantum Applications
Día de Entrega: 2021-06-30

https://www.mdpi.com/journal/sensors/special_issues/spd_sensors Non-classical states of light, as for instance entangled photons, promise dramatic improvements over classical optical methods, or even allow for novel measurement schemes. Recording efficiently their spatio-temporal properties requires sensors that combine high temporal and spatial resolution and high sensitivity. This special issue is addressed to all arrays of single photon detectors for quantum sensing and their applications. Dr. André Stefanov Dr. Leonardo Gasparini Guest Editors
Última Actualización Por Daisy Wang en 2020-12-31
Special Issue on Distributed Optical Fiber Sensors for Concrete Structure Monitoring
Día de Entrega: 2021-06-30

https://www.mdpi.com/journal/sensors/special_issues/DOFSCSM Structural health monitoring (SHM) is a crucial process in the maintenance strategy for concrete infrastructures, as it enables real-time diagnosis of the integrity and the state of wear/damage of the structure. In this context, truly Distributed Fiber-Optic Sensor (DFOS) systems paired with an optoelectronic interrogator offer the possibility to record various measurands at thousands of locations along the fiber sensor, over long distances, and with a user-customizable spatial range down to the centimeter scale. This emerging technology is very promising for the SHM of large reinforced concrete structures, as it can provide both local/global information on material and structural characteristics like strain, temperature, sound, and vibration. Such information can then be analyzed to detect, localize, and quantify structural defects and degradation related to concrete pathologies, such as stress concentrations, crack onset and development, moisture, leakages, corrosion of steel rebars, creep, and shrinkage, and swelling pathologies, such as alkali–aggregate reactions and sulfate attacks. Nevertheless, extensive research efforts are needed to improve the monitoring performance of DFOSs, methods for assessing the reliability/accuracy of DFOS measurements with respect to the effective state of the host structure, the durability of DFOSs under service conditions (especially when embedded in an alkaline concrete medium or directly exposed to the outdoor environment), and post-processing methods for converting the huge quantity of data into relevant indicators for users and maintenance operators. For this Special Issue, we invite the submission of original research articles and reviews dedicated to recent developments in and research on experimental, practical, and theoretical aspects of the SHM of concrete structures using DOFS instrumentation. Potential topics include, but are not limited to: recent progress in distributed fiber-optic sensors (DFOS) in the field of civil engineering; structural health monitoring; distributed measurements based on Raman, Rayleigh, or Brillouin scattering; analysis of the strain response of DFOS; crack detection and quantitative evaluation of crack openings in concrete structures with DFOS; monitoring of concrete pathologies using DOFS; temperature measurements based on DFOS; decoupling of strain and temperature effects on the DFOS response; distributed acoustic sensors (DAS); corrosion monitoring sensors; distributed moisture sensing; coating and sensor packaging; sensing tapes; performance of DOFSs bonded to the surface of/embedded in concrete structures; durability under service conditions; aging behavior of DFOSs; reliability/uncertainty assessment of DOFS instrumentation; post-processing techniques for event detection and data interpretation based on automated signal analysis or Artificial Intelligence (AI) methods; and case studies and applications of DOFS instrumentation in the field. Dr. Karim Benzarti Dr. Marc Quiertant Dr. Jean-Marie Hénault Guest Editors
Última Actualización Por Daisy Wang en 2020-12-31
Special Issue on Biomedical Sensing for Human Motion Monitoring
Día de Entrega: 2021-06-30

https://www.mdpi.com/journal/sensors/special_issues/BSHMM Recent advances in sensor technology mean that wearable sensors are available that can provide information similar to that which once required an expensive lab setup. In addition to reducing costs, taking movement recordings outside of the lab has many other advantages. It is possible to record physiological and biomechanical signals in more realistic situations, record changes in behavior observed throughout the day, better quantify the natural variability in behavior at different time scales and in response to different events, and to monitor behavior to identify special events such as falls in real time. These insights have the potential to improve healthcare outcomes by improving diagnosis, allowing the tracking of progress (e.g., exercise) and rehabilitation, providing large data sets for use in research studies, and providing real-time feedback to improve behavior and for safety purposes. In this Special Issue, we invite papers on topics related to new techniques, analyses, and feedback of recording and monitoring of human movements in different environments using a variety of biomedical sensors. Dr. Jason Friedman Dr. Sigal Portnoy Guest Editors
Última Actualización Por Daisy Wang en 2020-12-31
Special Issue on special issue on EEG Signal Processing for Biomedical Applications
Día de Entrega: 2021-07-31

link: https://www.mdpi.com/journal/sensors/special_issues/EEG_Biomedical Special Issue Information Research focused on brain electrical signals derived from the electroencephalogram (EEG) is gaining traction among researchers from the biomedical, psychology, engineering, and computer science fields. EEG signals have great potential for use in biomedical applications for the diagnosis, treatment, and monitoring of conditions that can alter brain activity, such as mental fatigue. Applications for EEG signals have included the monitoring of brain diseases such as epilepsy, brain tumors, head and spinal injuries, and sleep disorders. Controlling the environment with our mind has always been a wish of humankind. Consequently, assistive technology applications using EEG signals such as brain–computer interfaces (BCI) have been the focus of substantial research, providing a platform for hands-free control. Measuring EEG is reliable, relatively cheap, portable, and non-invasive, making it a key methodology for affordable and effective research, as well as a promising clinical and healthcare tool. The aim of this Special Issue is to contribute to the current developments pertaining to using EEG signals for biomedical applications. We are inviting submissions of original research, as well as review articles, and new development reports in “Using EEG Signals for Biomedical Applications”. Topics of interest include (but are not limited to) the following: Biomedical applications using EEG signals; Assistive technologies using EEG; Brain–computer interfaces; EEG signal processing; EEG for monitoring; EEG as a biomarker; The influence of conditions such as fatigue on brain activity; EEG and sleep. Dr. Yvonne Tran (Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University) Guest Editor
Última Actualización Por Vicky Cai en 2020-12-31
Special Issue on special issue on Indoor Positioning Technology for Monitoring Older Adults in E-Health Applications
Día de Entrega: 2021-07-31

link: https://www.mdpi.com/journal/sensors/special_issues/Indoor_Positioning_E-health Special Issue Information As a result of the rise in life expectancy, the world population is ageing, which is poised to become one of the most significant social transformations of the twenty-first century. For older adults, it is of great importance to maintain their independence and autonomy while remaining at their own homes. E-Health technology has proven to be a useful tool for remote monitoring and intervention to give care to older adults, while providing valuable tools to their caregivers and health practitioners to be aware of their current health status. Indoor positioning technologies (Wi-Fi, BLE, and sound/ultrasound) are able to provide positional information of older adults at home that can be used for continuous behavior monitoring for detecting potential health issues such as falls, cognitive decline, and adherence to medical prescriptions, to cite just a few. Machine learning algorithms are well suited for creating such models to tackle the high uncertainty and variability in the data used to model older adults’ behavior. The aim of this Special Issue is to contribute to the state-of-the-art research concerning indoor positioning technologies for monitoring older adults in E-Health applications. Keywords: E-Health; gerontechnology; indoor positioning; machine learning; remote monitoring; behavior modelling; continuous monitoring Dr. Óscar Belmonte Fernández (Computer Languages and Systems Department, Jaume I University) Guest Editor
Última Actualización Por Vicky Cai en 2020-12-31
Special Issue on special issue on Edge Computing Architectures in Industry 4.0
Día de Entrega: 2021-07-31

link: https://www.mdpi.com/journal/sensors/special_issues/edge_computing_industry Special Issue Information It will soon be ten years since the term Industry 4.0 was first mentioned at the Hannover Fair in 2011. The fourth industrial revolution brings with it an ecosystem of enabling technologies such as cyberphysical systems, robotics, cybersecurity, big data analytics, Artificial Intelligence and predictive maintenance, additive manufacturing, and of course, the Industrial Internet of Things. Thanks to IIoT devices and platforms, all the elements involved in production processes are connected to each other and to the cloud, where they are represented by their digital twins. This makes it possible to characterize the different production processes in the industry’s value chain, extract value-added knowledge, and apply Big Data Analytics techniques in the cloud, including predictive and prescriptive maintenance, as well as detection of anomalous patterns using machine learning techniques. However, various challenges and limitations arise when sending data to the cloud, such as the high energy consumption of IoT devices or the challenges regarding the security and privacy of the data transferred. Furthermore, cloud service providers charge their costs according to the amount of data that are transferred, processed and stored in the cloud. Finally, in an architecture based solely on an IoT layer and a cloud layer, services may be interrupted if communication with the cloud is cut off. In this sense, Edge Computing architectures allow pre-processing and filtering of the data being transferred to the cloud, reducing costs, avoiding security problems, and allowing machine learning models to be run at the edge of the network with lower latency and higher service availability. For this purpose, this Special Issue will be focused on but not limited to the following topics: Innovative edge computing architectures; Industrial Internet of Things and edge computing; Machine learning at the edge in Industry 4.0 scenarios; Edge computing and cyber-physical systems; Internet of Robotic Things and edge computing; Management of additive manufacturing at the edge; Integration of operational technology in edge computing architectures; Innovative frameworks for managing data security and privacy at the edge; Novel applications of edge computing and IoT in Industry 4.0 scenarios: heavy and light industry, agro-industry, smart energy, healthcare, smart transportation, smart farming, smart logistics, etc. Keywords Internet of Things edge computing Industry 4.0 cyber-physical systems machine learning Dr. Ricardo S. Alonso (BISITE Research Group, University of Salamanca) Dr. Óscar García (BISITE Research Group, University of Salamanca) Dr. Miguel A. Sánchez Vidales (International University of La Rioja) Guest Editors
Última Actualización Por Vicky Cai en 2020-12-31
Special Issue on  Wearable Sensors for Physical Activity Monitoring and Motion Control
Día de Entrega: 2021-07-31

https://www.mdpi.com/journal/sensors/special_issues/WSPAMMC Nowadays, there is a mass usage of wearable devices mainly focusing on promoting the healthy lifestyles of users. For example, bracelets and smartwatches have become commercial products well known and sold all over the world. Beyond the use of such devices for monitoring daily exercise, fitness levels and sport activities (sport performance), the last decade has shown an increasing interest in the development of mobile and wearable technologies for health promotion in many different ways. Physical activity monitoring and motion control through wearable technology provide valuable information for rehabilitation purposes, physical and even cognitive assistance. In addition, advances in artificial intelligence and machine learning make it possible to process acquired data from wearable sensors/devices, for instance, to detect postural problems in everyday physical activities (work and home ergonomics), to predict functional decline (early diagnosis and prevention), to identify the risk of falls in elders or, more specifically, to segment, classify and recognize human motion for gait analysis purposes, among others. This Special Issue is interested in all types of wearable sensors and mobile technologies dedicated to physical activity monitoring and motion control in the domains of healthcare, industry, home, sport, and more. Dr. Jesús Fontecha Dr. Iván González Guest Editors
Última Actualización Por Daisy Wang en 2020-12-31
Special Issue on RFID and Zero-Power Backscatter Sensors
Día de Entrega: 2021-07-31

https://www.mdpi.com/journal/sensors/special_issues/RZPBS The growth of Internet of Things (IoT) applications requires energy efficient sensors that are capable of working autonomously, have reduced environmental pollution associated with battery waste, have improved lifespans, and have reduced manual recharge problems. Green sensors based on radio frequency identification (RFID), where the communication between the reader and the tag is based on backscattering communications, is an example of IoT technology. The integration of sensors in passive and semi-passive tags to monitor different magnitudes at different frequency-bands and applications has experienced a growing commercial interest. Different approaches, such as chip-based and chipless sensors, have been investigated. Recently, there has been increasing market interest in battery-less sensors based on near-field communication (NFC), which incorporates energy harvesting systems, and ultra high frequency (UHF) RFID. Moreover, the advances in communication technologies at millimeter-wave frequency bands have opened new opportunities for RFID and radar sensor applications. In addition to RFID technology, backscatter radio is a promising communication scheme for novel long-range communications based on zero-power backscatters that allow for communication by ambient backscattering radio-frequency signals. This Special Issue is focused on sensors based on RFID and backscattering communication systems. Potential topics include but are not limited to the following: Zero-power wireless sensors and ambient backscatter communications Chipless sensors Near-field communication (NFC) sensors UHF RFID sensors Wearable and implanted devices based on backscatter communication Millimeter-wave backscatter sensors UWB sensors Backscatter sensors with energy harvesting Prof. Dr. Antonio Lázaro Prof. Dr. David Girbau Prof. Dr. Ramon Villarino Guest Editors
Última Actualización Por Daisy Wang en 2020-12-31
Special Issue on Sensor Data Fusion and Analysis for Automation Systems
Día de Entrega: 2021-08-15

Dear Colleagues, The MDPI Journal of Sensors (ISSN 1424-8220, IF 3.275) currently running a Special Issue entitled "Sensor Data Fusion and Analysis for Automation Systems” which is open for submissions until 15 August 2021. https://www.mdpi.com/journal/sensors/special_issues/SensorDataFusion_Analysis_AutomationSystems This Special Issue is devoted to new advances and research results on sensor data fusion and analysis for various automation systems in transportation, robotics, agriculture, and industry. It will publish work exploring frontier technology and applications in related fields. The topics of interest for this issue include, but are not limited to the following: Multi-sensor fusion and feature representation Information acquisition and analysis for automation Sensor signal processing and data analysis Big data mining for automation Data fusion based on monitoring for automation Artificial intelligence for automation systems Intelligent robotics and machine vision Machine learning based on prediction and decision making Intelligent control for automation systems Should you have any questions, please feel free to contact Rain.liu@mdpi.com.
Última Actualización Por Rain Liu en 2020-12-30
Special Issue on  Toward the Application of Smart Self-Sensing Nanocomposites to Structural Health Monitoring
Día de Entrega: 2021-08-31

https://www.mdpi.com/journal/sensors/special_issues/SSNSHM The multifunctional properties of epoxy-based nanocomposites reinforced with carbon nanoparticles are attracting the attention of scientists and designers of structural and prognostic health monitoring systems. The idea of creating a composite structure capable of self-sensing potential deterioration mechanisms within the material by a measure of its piezoresistivity could potentially revolutionize the concept of sensor network design. However, one main factor limits the move toward the industrial application of this technology: the lack of self-sensing robustness hampers the predictability of the sensor performance in terms of sensitivity to the presence of damage and the capability to track its trend during the course of its evolution. This Special Issue is intended to bring together the various efforts made in developing methods to increase the readiness of this technology for future industrial application, including manufacturing strategies, modeling frameworks, and the development of ternary-state nanocomposites, with a special focus on increasing the sensor performance predictability. Dr. Claudio Sbarufatti Prof. Dr. Alberto Jiménez Suárez Guest Editors
Última Actualización Por Daisy Wang en 2020-12-31
Special Issue on special issue on Well-Being, Comfort and Health Monitoring through Wearable Sensors
Día de Entrega: 2021-09-20

link: https://www.mdpi.com/journal/sensors/special_issues/Health_Wearable_Sensors Special Issue Information The development of wearable technologies over the past years has opened up the possibility of extracting physiological parameters just through using low cost and non-invasive systems. Continuous monitoring of physiological and personal parameters, e.g., electrocardiograms, electrodermal activity, electroencephalograms, skin temperature, activity level, etc., through wearable sensors has been demonstrated to define the user's well-being, comfort, and health status in the life environments, both indoor and outdoor. In this Special Issue, we call for papers presenting innovative solutions and signal processing techniques to measure the well-being, comfort, and health status of the user in the life environments, i.e., indoor and outdoor, through wearable sensors eventually integrated in sensor networks. The papers have to consider the accuracy in the measurement of such quantities. Keywords wearable sensors well-being, health comfort measurements accuracy life environment Dr. Gian Marco Revel (Department of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche) Dr. Sara Casaccia (Department of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche) Guest Editors
Última Actualización Por Vicky Cai en 2020-12-31
Special Issue on ccurate Synchronization in IoT
Día de Entrega: 2021-09-30

Special Issue "Accurate Synchronization in IoT" website: https://www.mdpi.com/journal/sensors/special_issues/ASIoT Deadline for manuscript submissions: 30 September 2021 Dear Colleagues, Internet of Things (IoT) combined with Wireless Sensor Networks (WSN) have experienced a great evolution in the last decade, opening the door to new and enhanced applications that in some scenarios can require high accurate synchronization, such as real time monitoring, ranging, collaborative beamforming, etc. Notice that these networks are set up with small distributed nodes, based on low cost components, that have limited power supply, processing, memory and communications. Due to their poor performance and quality of their clocks, usually time synchronization is in the order of milliseconds and a higher precision is a great challenge. However, using advanced synchronization protocols, emergent communication technologies, such as Ultra Wide Band (UWB), and/or tuning slightly these nodes, we can achieve this time accuracy. This Special Issue on “Accurate synchronization in IoT" aims to gather all these recent developments and advances to share with the research community. Submissions are expected to focus on both theoretical and practical aspects and applications. New ideas proposing disruptive approaches are also welcome. Topics of interest include but are not limited to the following areas: Ultra-wideband communications; Network timing; Synchronization protocols; Modulations and symbol correlation; IEEE 802.15.4 transceivers; Open-source solutions. Dr. Juan J. Perez-Solano Dr. Santiago Felici-Castell Guest Editors
Última Actualización Por Callie Liu en 2020-12-30
Special Issue on Integrating the Internet of Things and Blockchain-Enabled Applications: Current Practices, Opportunities and Challenges
Día de Entrega: 2021-09-30

website: https://www.mdpi.com/journal/sensors/special_issues/IIoTBEA Dear Colleagues, The Internet of Things (IoT) applications and blockchain technology are driving Industry 4.0, and their integration seems almost mandatory for the years to come. Various weaknesses of IoT-related applications such as security vulnerabilities, data privacy and confidentiality issues could be tackled by the non-repudiable and forensics-by-design nature of blockchain technology. Arguably, blockchain-enabled applications could serve as a trusted environment for intra- and intersystem IoT communications and foster the development of fine-grained access control mechanisms of IoT data and services. Other benefits of integrating blockchain and IoT applications, particularly through smart contracts, include data integrity, forensics and chain-of-custody for IoT devices and sound identity management schemes. Integrating, however, IoT sensors and blockchain-enabled applications might be a daunting task, especially when considering that such integration should occur within current enterprise resource planning (ERP) or cloud-based systems widely applied in all domains of global business and industry. The advent of 5G technologies also creates new challenges for successfully integrating IoT and blockchain. In particular, 5G-enabled IoT applications call for high data rates, network scalability and a massive number of device connectivity, technical requirements that challenge current blockchain platforms’ scalability features. Additionally, lack of interoperability and standardization heavily affect blockchain platforms’ potential to be fully integrated with IoT-related applications. In this Special Issue of Sensors, we invite submissions focusing on the symbiotic relationship and integration potential of IoT-related applications and blockchain technology. We welcome submissions that offer important technical, conceptual and empirical insights into how IoT and blockchain could be successfully integrated within current ERP or cloud-based systems, particularly by tackling the various technical, security, operational and regulatory issues prevalent in today’s business context. Of particular interest are papers focusing on integrating blockchain and IoT in specific sectors such as industrial manufacturing, logistics, finance, health, energy, etc. Dr. Thomas K. Dasaklis Dr. Fran Casino Dr. Rachaniotis Nikolaos Guest Editors
Última Actualización Por Callie Liu en 2020-12-30
Special Issue on special issue on Portable Sensor Systems for Microbial Application
Día de Entrega: 2021-09-30

link: https://www.mdpi.com/journal/sensors/special_issues/Portable_Sensor_Microbial Special Issue Information Bacterial contamination is routinely screened in different areas of application, such as food production and processing, environmental monitoring, cosmetics production, and industrial and military applications. The measurement of microbial concentration is important since high microbial contamination or the presence of pathogens can seriously endanger consumer health. It is usually carried out by laboratory analysis, and this results in high costs for analysis and long response times. Recently, much research has been carried out to propose novel techniques for microbial analysis that can allow low-cost and in situ measurements outside a laboratory environment. Such techniques are based on different transduction principles, such as electrical impedance spectroscopy (EIS), amperometry, voltammetry, near infrared (NIR) optical analysis, piezoelectricity, and fluorescence. One important characteristic of the proposed techniques is potential implementation in the form of an embedded portable electronic system, based on a microcontroller or FPGA, to allow microbial analysis outside a laboratory to also be performed by nonskilled personnel. Moreover, the recent wide diffusion of smartphones with a high processing capability that integrate wireless communication systems and a rich sensor set offers an optimal platform to design low-cost mobile sensing systems. The editors welcome the submission of high-quality research papers not previously published in other journals as well as review articles discussing recent advancements in the development of portable sensor systems for microbial analysis and innovative techniques for microbial analysis that can be easily implemented in the form of an electronic embedded system. Keywords Sensor Bacteria Microbial analysis Portable system Biosensor Lab-on-a-chip Dr. Marco Grossi (Dipartimento di Ingegneria dell'Energia Elettrica e dell'Informazione "Guglielmo Marconi") Guest Editor
Última Actualización Por Vicky Cai en 2020-12-31
Special Issue on  Optical Spectral Sensing and Imaging Technology
Día de Entrega: 2021-09-30

https://www.mdpi.com/journal/sensors/special_issues/OPSIT In optical spectral sensing and imaging technologies, spatial information is combined with spectroscopy. These methods offer fast and non-destructive methods which have evolved into powerful analysis tools for science and industry. In recent years, the related areas have developed rapidly. On the one hand, development is being driven forward both technically and methodically. Camera/imaging technology is developing very quickly—especially, the first hyperspectral chips have become commercially affordable. Additionally, their use in smartphones as sensors will not be long in coming. Another driving force is the ever more powerful computers and programs that enable us to visualize and analyze the enormous amounts of data in a reasonable amount of time using chemometric methods or AI applications. This Special Issue will focus on (i) current state-of-the-art of optical sensors for spectral sensing and imaging, (ii) recent technological improvements in new devices/sensors, (iii) mathematical methods for data analysis, and (iv) scientific/industrial applications. Both original research papers and review articles describing the current state-of-the-art in this research field are welcome. The Editor intends with this SI to provide an overview of the present status as well as a future perspective of these topics. The manuscripts should cover, but are not limited to, the following topics: Existing methodology and instrumentation; Emerging novel instrumentation and techniques; Spectral/data unmixing; Spectral variability; Classification, segmentation, and compression; Data fusion, information extraction, and simulation; Target detection; Hyperspectral image classification; High performance computing; AI applications and chemometric modeling; Calibration transfer; Scientific and industrial applications—all topics are welcome. Prof. Dr. Marc Brecht Department of Applied Chemistry, Hochschule Reutlingen, Alteburgstrasse 150, Reutlingen, Germany Guest Editor
Última Actualización Por Daisy Wang en 2020-12-31
Special Issue on special issue on Advances in Spectroscopy and Spectral Imaging
Día de Entrega: 2021-10-01

link: https://www.mdpi.com/journal/sensors/special_issues/Spectroscopy_Spectral_Imaging Special Issue Information Spectroscopy aims at recovering the spectral signature of light at a scene point, within a given spectral range and a given spectral resolution. Spectral imaging enhances this functionality by adding spatial dimension, leading to a spatiospectral data representation (i.e., a spectral data cube). On one hand, novel hardware designs dedicated to spectroscopy and spectral imaging (SSI) are demanded to improve the efficiency, flexibility, or compactness of the SSI systems. On the other hand, dedicated data processing is required for the emergence of SSI systems. Recent advances in the field could potentially lead to the massification of SSI, and a better implication of SSI in applications, such as for computer vision, computer graphics, or remote sensing. To further help SSIs to break through into applications, it is necessary to go beyond our understanding of their limitations. This Special Issue focuses on these topics, so the different issues, achievements, and progress from different disciplines are available from one single issue. Potential topics include but are not limited to: Technology: spectral sensors, optical design, camera design, acquisition setup, etc. Computational algorithm: imaging model, data processing, noise reduction, calibration, image enhancement, demosaicing, super-resolution, high dynamic range, etc. Inverse problem: spectral reconstruction, illuminant estimation, reflection mode separation, rendering, matching, etc. Data mining for spectral information: learning, CNN, time series, etc. Applications in computer vision: medical imaging, automotive, cultural heritage (classification, text analysis), etc. Applications in computer graphics: cultural heritage (visual reproduction), etc. Other SSI applications in remote sensing, chemistry, biology, etc. Keywords spectral sensors spectroscopy spectral imaging multispectral imaging hyperspectral imaging spectropolarimetric imaging Dr. Pierre-Jean Lapray (Université de Haute-Alsace) Dr. Jean-Baptiste Thomas (The Norwegian Colour and Visual Computing Laboratory, Norwegian University of Science and Technology) Dr. Yusuke Monno (Okutomi & Tanaka Laboratory, Department of Systems and Control Engineering, School of Engineering, Tokyo Institute of Technology) Guest Editors
Última Actualización Por Vicky Cai en 2020-12-31
Special Issue on Multiple Access Techniques in Emerging Wireless Systems: Performance, Applications and Challenges
Día de Entrega: 2021-10-15

website: https://www.mdpi.com/journal/sensors/special_issues/multiple_access_techniques Dear Colleagues, With the expected increase of the number of users in 5G networks, techniques based on orthogonal multiple access (OMA) may no longer meet the new requirements, particularly in terms of high spectral efficiency, low latency, as well as massive connectivity of devices. In this context, the non-orthogonal multiple access (NOMA) technique is at the forefront, emerging as one of the most promising radio access techniques in next-generation wireless communications. It consists of serving multiple users using the same resource in terms of time, frequency, and space. Compared to OMA techniques, NOMA appears as a viable solution capable of enhancing spectrum efficiency, reducing latency with high reliability, and enabling massive connectivity of sensor nodes, IoT equipment, and other smart devices. Recent studies have shown some existing evidence of performance improvement when NOMA is integrated with effective wireless communication techniques such as multiple-input–multiple-output (MIMO), beamforming, cooperative communications, etc. However, this new technique introduces additional challenges that need to be solved, such as interference management due to superimposition on the same resource and security issues. This Special Issue focuses on research and development of NOMA-based systems. Researchers are invited to contribute high-quality articles on the latest advances related to improving and solving key challenges within NOMA-based systems, including emerging applications and algorithms to improve the overall performance. Both original practical work and review articles are welcome. Topics of interest include but are not limited to: Resource allocation in NOMA-based systems; Resource optimization in NOMA; NOMA in full-duplex wireless networks; Cooperative communication or relaying with NOMA; Emerging applications of NOMA; Performance analysis of NOMA systems; Simulation of NOMA systems; Hybrid NOMA; Privacy and security issues in NOMA systems; Energy efficiency in NOMA systems; NOMA in vehicular communications. Dr. Sahar Hoteit Dr. Hyunbum Kim Dr. Omar Sami Oubbati Guest Editors
Última Actualización Por Callie Liu en 2020-12-30
Special Issue on special issue on Access Control in the Internet of Things
Día de Entrega: 2021-10-15

link: https://www.mdpi.com/journal/sensors/special_issues/Access_Control_in_IoT Special Issue Information The Internet of Things (IoT) is a complex ecosystem that in the last several years has considerably improved our daily life style. In IoT networks, ubiquitous interconnected sensors, actuators, and devices produce a large amount of data, and the development of heterogeneous communication technologies allows them to exchange such data, thus enabling the creation of a number of innovative services. IoT technologies are applied in many domains, including smart home, smart city, and industrial and healthcare environments. Besides a large number of undoubted benefits, the widespread adoption of IoT technologies also raised security and privacy issues. Access control is a crucial aspect to be considered to guarantee the confidentiality and integrity of data and devices, and it is attracting increasing attention from both industry and academia. For instance, devices that actively monitor the human body’s vital signs or industrial systems deal with very sensitive and private data. Therefore, there is the necessity of increasing research activity about access control models and frameworks so as to guarantee, on the one hand, reliability and availability in order to ensure any urgent intervention in case of emergency, and on the other hand, restricted access to prevent any tentative corrupting, stealing, or disclosing of data. The aim of this Special Issue is to gather the latest research results concerning theories, methodologies, techniques, and new solutions for access control in IoT. In particular, this volume addresses the topic of access control in IoT while considering several dimensions: languages and models, requirements and architectural solutions, security and privacy issues, verification and validation techniques as well as application domains and perspectives. Researchers, experts, and scholars from both industry and academia are encouraged to present their recent achievements, joint collaborations, and research directions in this area. Topics of interest within access control in the IoT context include (but are not limited to): Vulnerability analysis and threat mitigation Data protection and privacy preservation Security and privacy requirements, analysis, and specification Architectures, protocols, and services in IoT Access Control models Context awareness of access control models Access Control policy languages Policy engineering Access Control enforcement techniques for IoT Validation and verification of access control systems Validation and verification of policy and policy languages Access Control frameworks and tools in IoT Distributed ledgers and blockchain applications for access control in IoT Access Control in Cyber-physical systems and ecosystems Access Control in Systems of Systems Access Control in industrial contexts Access Control in smart environments (city, home, campus, vehicles, etc.) Access Control for healthcare environment Access Control in IoT specific domains Perspectives, challenges, opportunities and issues of access control in IoT Dr. Francesca Lonetti (Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo", Area della Ricerca CNR di Pisa) Dr. Eda Marchetti (Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo", Area della Ricerca CNR di Pisa) Guest Editors
Última Actualización Por Vicky Cai en 2020-12-31
Special Issue on Securing the Industrial Internet of Things
Día de Entrega: 2021-10-21

Website: https://www.mdpi.com/journal/sensors/special_issues/Securing_IIoT Dear Colleagues, The proliferation of the Internet of Things (IoT) has enabled rapid enhancements for the applications not only in home, business, and environment scenarios, but also in factory automation. Today, Industrial Internet of Things (IIoT) offers all the advantages of IoT to the industrial scenarios, for a wide range of applications from remote sensing/actuating to de-centralization/autonomy. In this Special Issue, the editor aims at presenting the IIoT and its place during the industrial revolution (Industry 4.0), while our world is being transformed into a better, comfortable, safer, automated, and sustainable one. This Special Issue will cover the cross-relations and implications of IIoT with existing wired/wireless communication/networking and safety technologies of the Industrial Networks, especially from a cybersecurity point of view. The cybersecurity-related needs/requirements of IIoT users (including GDPR-related implications and concerns) and the services that might address these needs will be a topic of interest. User privacy, data ownership, and proprietary information handling related to IIoT networks will also be investigated. The well-famed trio of cybersecurity, intrusion-prevention, -detection, and -mitigation will also be considered for IIoT networks. This Special Issue encourages authors from academia and industry to submit new research results related to cybersecurity of IIoT. The topics include but are not limited to the following: Cyber security of Cyberphysical systems (CPS) Digital twin Intelligent factory Industrial automation Internet-of-Things (IoT) Industrial Internet-of-Things (IIoT) Smart cities Smart factory Smart supply-chain management Cross-relations and implications of IIoT with (from a cybersecurity point of view): Process and building automation protocols for Industry 4.0: BACnet, CAN,DLSM/COSEM, DNP3, Fieldbus, HART, ISA 100.11a, IEC 62601,PROFIBUS, PROFINET, Modbus, Modbus+, M-Bus, SCADA,WirelessHART, X10 Wireless communications technologies for Industry 4.0: IEEE 802.15.4, LPWAN (LoRa, etc.), 6lowPAN, ZigBee, Z-Wave IIoT environments and privacy issues (GDPR point of view, etc.) Industrial applications using IIoT (from a cybersecurity point of view) Principles and techniques for cybersecurity of IIoT networks Data collection/preparation techniques for analysis regarding cyber security Technologies to be used Blockchain Digital signatures Homomorphic encryption and many more. Dr. Ismail Butun Guest Editor
Última Actualización Por Callie Liu en 2020-12-30
Special Issue on special issue on Advances in Silicon Photonic Sensors
Día de Entrega: 2021-10-31

link: https://www.mdpi.com/journal/sensors/special_issues/Silicon_Photonic_Sensors Special Issue Information Silicon-based photonic biosensors can lead to major advances in point-of-care applications, food diagnostics, and environmental monitoring through the rapid and precise analysis of various substances. Different techniques for evanescent field sensing, optical trapping and label-free detection are proposed and experimentally evaluated during the last three decades. One major advantage of silicon is the availability of inexpensive fabrication technologies due to the compatibility with microelectronic technologies but also its flexibility in terms of surface functionalization. This Special Issue offers the possibility to gather recent improvements in the broad field of silicon-based photonic sensors. This includes bio and thermal sensing, novel detection methods and device concepts as well as fabrication techniques and packaging. Articles with latest experimental results as well as simulation studies are welcome. It is our pleasure to invite you to submit a manuscript for this Special Issue with the latest results, research lines, and trends that you are currently obtaining or following. Full papers, communications, and reviews are all welcome. Keywords Silicon photonic sensors Optical biosensors Sensor concepts and simulation Fabrication and packaging methods Porous silicon and novel materials Optofluidics Optical trapping Surface functionalization Label-free detection Photonic-plasmonic devices Prof. Dr. Fabio De Matteis (Università degli Studi di Roma Tor Vergata) Dr. Patrick Steglich (Technische Hochschule Wildau, University of Applied Sciences) Guest Editors
Última Actualización Por Vicky Cai en 2020-12-31
Special Issue on special issue on Volatile Organic Compounds Detection with Optical Fiber Sensors
Día de Entrega: 2021-11-30

link: https://www.mdpi.com/journal/sensors/special_issues/VOCs_Optical_Fiber_Sensors Special Issue Information The detection of volatile organic compounds (VOCs) is a critical aspect in many fields. For instance, in many industries, these compounds present a high environmental impact, and their emissions need to be carefully controlled. On the other hand, in the food and beverage industry, these can be indicators of the products’ quality. Their presence can also be associated with environmental contamination, poor air quality, or even with certain human diseases. Many optical fiber-based sensors have been proposed in the last years to detect VOCs, and this is still a very active research field. This forthcoming Special Issue invites contributions regarding the research and development of new optical fiber sensors for the detection of VOCs, aiming at an advancement of the current state of the art. Short communications, original research experimental and theoretical papers, and review articles are welcomed for this Special Issue. These contributions can focus on, but are not limited to, the following topics: VOCs sensors based on new optical fiber geometries; Interferometric fiber sensors; Fiber gratings-based sensors; Optofluidic fiber sensors; Fiber sensors based on Vernier effect; Sensors based on whispering gallery modes; Detection of a single or multiple VOCs; Active or passive fiber sensors; New coating materials; Advanced sensing configurations. Dr. Marta S. Ferreira (i3N and Department of Physics, University of Aveiro, Campus Universitario de Santiago) Guest Editor
Última Actualización Por Vicky Cai en 2020-12-31
Special Issue on special issue on Challenges in Energy Perspective on Mobile Sensor Networks
Día de Entrega: 2021-11-30

link: https://www.mdpi.com/journal/sensors/special_issues/Energy_Mobile_Sensor_Networks Special Issue Information Big data, machine learning, and artificial intelligence change our way of life significantly. New data collection and utilization are crucial to enhance these technologies, and IoT technology for this improvement is continually evolving. Much research has been conducted on data collection/transmission technology and edge computing for data merging/security, but most research and utilization were performed only on fixed sensors. Therefore, mobile sensor technology has become necessary to remedy the defect of fixed sensors and to place sensors properly. This Special Issue seeks a variety of technical activities for the mobile sensor network that will emerge, most importantly, in the data age. In this issue, we shall introduce technologies in various fields for mobile sensor networks such as mobile sensors, communication protocols, SDN (software-defined networking), NFV (network function virtualization), edge computing, wireless applications, and security, and provide opportunities to share new ideas with researchers around the world. Moreover, various new issues around computer science and electrical engineering, not limited to the above areas, will also be good material. Keywords Wired/wireless mobile sensors Sensor deployment/relocation protocols Sensor communication/security protocols Sensor fault-tolerant/energy-efficient protocols VNF, NFV based on SDN for WSNs Edge computing for WSNs Simulation/numerical techniques Machine learning applications Applied electromagnetics for wireless applications Prof. Dr. Moonseong Kim (Department of IT Convergence Software, Seoul Theological University) Prof. Dr. Byungseok Kang (Department of Electronics, Computing and Mathematics, University of Derby) Guest Editors
Última Actualización Por Vicky Cai en 2020-12-31
Special Issue on  	Silicon Photonics: A Theme Issue in Honor of Professor Richard A. Soref
Día de Entrega: 2021-11-30

https://www.mdpi.com/journal/sensors/special_issues/SPATIH Dear Colleagues, Prof. Richard A. Soref is a research professor of engineering at the University of Massachusetts, United States. Prof. Soref is a well-known expert in photonics and the science of light and considered by many as the "father of silicon photonics". Prof. Soref's career in basic and applied research spans more than 50 years. Initially inspired by the fields of science, engineering, and materials in his youth, Prof. Soref acquired a radio license to become the youngest amateur radio operator in Wisconsin at the age of 13. During his career, he has contributed more than 550 peer-reviewed papers, authored chapters in eleven books, and served on the editorial board of Optical Engineering. He holds 54 U.S. patents. His work includes the invention of opto-electronic integration in silicon, significant contributions to SiGeSn material development and, since 1985, visionary, fundamental contributions to the science and technology of silicon photonics. Optical communications and sensing technology were also advanced by Prof. Soref's innovations in waveguide-circuit integration, electro-optical modulation, photonic crystals, nonlinear optics, matrix switching, optical logic, laser physics, plasmonic-photonics, microwave photonics, and infrared detection. Active in multiple committees and organizations related to his work, Prof. Soref founded the Institute of Electrical and Electronics Engineers (IEEE) International Group IV Photonics Conference in 2004, which granted him a Lifetime Achievement Award in 2010. A Life Fellow of IEEE, he is also an Elected Fellow of the National Academy of Inventors, the Optical Society of America, and the Institute of Physics, among others. He has also received multiple awards during his tenure, including the Achievement Medal of the Institution of Engineering and Technology in 2019, the Marquis Who’s Who Lifetime Achievement Award in 2018, the U.S Air Force Basic Research Award in 1991, the Charles E. Ryan Memorial Award from Rome Laboratory in 1988, and several Air Force Office of Scientific Research Star Team Leader Awards between 2005 and 2011. This Special Issue is dedicated to celebrating the career of Prof. Richard A. Soref in honor of his contributions in the field of silicon photonics. It will cover a selection of recent research and review articles related to the science and technology of silicon photonics, optical communications and sensing, nonlinear optics, laser physics, and infrared detection. Dr. Vittorio M.N. Passaro Dr. Francesco De Leonardis Guest Editors
Última Actualización Por Daisy Wang en 2020-12-31
Special Issue on special issue on Biosignal Sensing and Processing for Clinical Diagnosis
Día de Entrega: 2021-12-03

link: https://www.mdpi.com/journal/sensors/special_issues/Biosignal_Sensing Special Issue Information Biosignals have a long history of use in the clinical diagnosis and follow-up of multiple pathologies, as is the case of the electrocardiogram in cardiology. Advances in sensing and computing, as well as the emergence of artificial intelligence, have driven a great advance in this field, expanding the diagnostic spectrum of traditionally used biosignals, improving biosignal quality, and opening the door to the use of new biosignals such as biochemical or biomagnetic signals. Obtaining valuable and clinically useful information is still challenging, involving the development and/or selection of the appropriate biosignal sensing systems and algorithms for automatic signal segmentation, denoising or artifact removal, signal parameterization, and feature selection. Recently, the challenge of obtaining information useful for clinical diagnosis has been addressed by the development of decision support systems via machine or deep learning. It is important to consider all of these developments in the context of their implementation in clinically friendly systems that minimize patient discomfort, are simple to use, and provide information that is easily interpretable by physicians in near real time. The aim of the Special Issue “Biosignal Sensing and Processing for Clinical Diagnosis” is to collect a compendium of articles about new trends and advances in biosignal sensing and processing as well as their use in clinical decision support systems. We look forward to your participation in this Special Issue. Topics of interest include, but are not limited to, the following: New trends in biosignal sensing; Biosignal processing and analysis: electrocardiographic, myoelectric, electroencephalographic, photoplethysmographic, gastric, biochemical, or biomagnetic signals, among others; Applications of machine learning, deep learning, and artificial intelligence in using biosignals for clinical diagnosis. Keywords biosignals biomedical sensors biomedical signal signal processing feature extraction machine learning deep learning Dr. Gema Prats Boluda (Centro de investigación e Innovación en Bioingeniería (Ci2B), Universitat Politècnica de València) Dr. Javier Garcia-Casado (Centro de investigación e Innovación en Bioingeniería (Ci2B), Universitat Politècnica de València) Dr. Yvonne Tran (Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University) Dr. Yiyao Ye-Lin (Centro de investigación e Innovación en Bioingeniería (Ci2B), Universitat Politècnica de València) Dr. José Luis Martinez de Juan (Centro de investigación e Innovación en Bioingeniería (Ci2B), Universitat Politècnica de València) Dr. Dongmei Hao (College of Life Science and Bioengineering, Beijing University of Technology ) Guest Editors
Última Actualización Por Vicky Cai en 2020-12-31
Special Issue on Advances and Applications of Micro/Nano-Electronic Sensors
Día de Entrega: 2021-12-15

Special Issue "Advances and Applications of Micro/Nano-Electronic Sensors" Website: https://www.mdpi.com/journal/sensors/special_issues/MicroNanoElectronicSensors Deadline for manuscript submissions: 15 December 2021 Dear Colleagues, Wearable electronics have started to gain momentum because of their essential role in improving the quality of life for various patients and healthy individuals. The function and performance of integrated NEMS/MEMS systems depend on the design of nano-/microsystems, choice of materials, manufacturing approaches, packaging, and device integration methods. It is also of high interest to investigate the interrelationships between material properties and processing, device/system structure, and the mechanical, electrical, optical, or (bio)chemical behavior of devices/systems. Resonant sensors are a type of sensor that relies on the measurement of resonant frequency to detect a variety of physical parameters such as pressure, temperatures, viscosity, gas concentrations, accelerations, etc. This type of sensor has drawn a significant amount of attention due to its excellent stability, resolution, and accuracy. In addition, this type of sensor allows devices to be easily connected to digital systems, which is required for its effective employment as a measurement device. Keywords MEMS sensors piezoelectric sensors radio frequency sensors acoustic sensors microsystem design device/system structure fabrication techniques biomedical applications mechanical, electrical, optical, or (bio)chemical behavior of devices/systems Prof. Dr. Huanyu Cheng Prof. Dr. Haifeng Zhang Dr. Zhiqun (Daniel) Deng Guest Editors
Última Actualización Por Callie Liu en 2020-12-30
Special Issue on MEMS and NEMS Sensors
Día de Entrega: 2021-12-31

Special Issue "MEMS and NEMS Sensors" Website: https://www.mdpi.com/journal/sensors/special_issues/MEMS_NEME_sensors Deadline for manuscript submissions: 31 December 2021 Dear Colleagues, The manufacturing and integration of autonomous and embedded sensors through a combination of micro- and nano-system technologies have been revolutionizing self-powered, high bandwidth devices for advance manufacturing (AM), artificial intelligence (AI), Internet of Things (IoT), and health technologies. More specifically, nano- and micro-electro-mechanical-systems (N/MEMS) sensors are the building blocks for a vast range of applications, from continuous real-time health (wearable) and environmental monitoring (gas, biomolecules, pressure, temperature, etc.) to enabling embedded mobile Internet services (wireless), including smart/connected cars and unattended vehicles (UAV) (inertial). As these devices have numbered in the tens of billions, the potential for disruptive innovation has been immense. Integration of nano- and micro-sensors-which are functionalized using emerging materials to complementary metal-oxide-semiconductors (CMOS) and microfluidics systems, and their electro-mechanical packing are very challenging. Because, the integration and packing require the multiple deposition of layers of different dielectrics and metals, the atomic mismatch between these layers, acting as electron trap, increases ohmic resistance, and creates noise and reduces sensitivity, selectivity and responsivity; and increases detection time. This Special Issue aims to introduce the manufacturing, packaging and integration of autonomous and embedded sensors through a combination of micro- and nano-system. Topics in general include, but are not limited, to: - Autonomous and embedded sensors: design, manufacture, packaging and reliability - Biosensors (photonic, electrical, chemical) and their integration to MEMS, CMOS and microfluidic systems for COVID-19 and other (future) pandemics’ roteins/metabolites/analytes - Sensor interconnectors/interfaces and their testing - Graphene-based nano-sensors - Electronic circuits for MEMS nano-sensor modulation - Nano-electro-mechanical sensors Prof. Dr. Mustafa Yavuz Guest Editor Keywords N/MEMS-sensors sensor integration to N/MEMS CMOS and microfluidic systems electronic circuits for N/MEMS nano-sensor modulation bifurcation sensing sensor functionalization Nano-electro-mechanical sensors PeCOD COVID-19
Última Actualización Por Callie Liu en 2020-12-30
Special Issue on special issue on Cyber-Security-Based Internet of Things for Smart Homes
Día de Entrega: 2021-12-31

link: https://www.mdpi.com/journal/sensors/special_issues/Cyber-Security_IoT_Smart_Homes Special Issue Information The rapidly evolving technology of the Internet of Things introduces new cybersecurity challenges, especially where installations handle and process personal and private data. As such, smart homes constitute an ecosystem which is prone to new complex cyberattacks and attractive to attackers. This Special Issue aims to present recent advances in new techniques for the cyber defense of smart homes, by taking advantage of recent developments in machine, deep and federated learning, distributed ledger technologies such as blockchain, as well as behavioral monitoring of IoT devices. Topics of interest include but are not limited to the following: Cybersecurity architectures for IoT and smart homes; Cybersecurity analytics platforms for IoT; Blockchain for IoT and smart homes; Machine and deep learning for the security of IoT; Behavioral monitoring of IoT; Federated IoT smart home infrastructures with focus on security and privacy; Cyberthreat intelligence; AI-based methods for malware and ransomware; Privacy and trust in IoT. Keywords Smart homes Internet of Things Cyber security Privacy Intrusion detection systems Network behavior analysis Machine/deep/federated learning Distributed ledger technologies Dr. Konstantinos Votis (Information Technologies Institute, Centre for Research and Technology Hellas) Dr. Konstantinos M. Giannoutakis (Information Technologies Institute, Centre for Research and Technology Hellas) Dr. Nikolaos Dimitriou (Information Technologies Institute, Centre for Research and Technology Hellas) Guest Editors
Última Actualización Por Vicky Cai en 2020-12-31
Special Issue on special issue on Human Centered Artificial Intelligence: Putting the Human in the Loop for Implementing Sensors Based Intelligent Environments
Día de Entrega: 2021-12-31

SI LINK: https://www.mdpi.com/journal/sensors/special_issues/Artificial_Intelligence_Implementing_Sensors Special Issue Information: This Special Issue aims to solicit original and high quality research articles that consider the current evolvement of AI approaches under a human-centric approach in the development of intelligent environments. Exceptional contributions that extend previously published work will also be considered, provided that they contribute at least 60% new results. Authors of such submissions will be required to provide a clear indication of the new contributions and explain how this work extends the previously published contributions. Topics may include, but are not limited to, the following: Active machine learning Adaptive personal AI systems Causal learning, causal discovery, causal reasoning, causal explanations, and causal inference Cognitive computing Decision making and decision support systems Emotional intelligence Explainable, accountable, transparent, and fair AI Explanatory user interfaces and HCI for explainable AI Ethical and trustworthy AI Federated learning and cooperative intelligent information systems and tools Gradient-based interpretability Interaction modalities and devices: visual, 2D/3D, augmented reality, simulations, digital twin, conversational interfaces, and multimodal interfaces Interactive machine learning Interpretability in reinforcement learning Human–AI interactions and intelligent user interfaces Human–AI teaming Natural language generation for explanatory models Processes, tools, methods, user involvement, user research, evaluation, AI technology assessment and customization, and standards Rendering of reasoning processes Self-explanatory agents and decision support systems Usability of human–AI interfaces Dr. Constantine Stephanidis (1. Foundation for Research and Technology Hellas (FORTH), Institute of Computer Science (ICS), Human Computer Interaction Laboratory (HCI Lab); 2. Department of Computer Science, University of Crete) Dr. George Margetis (Foundation for Research and Technology Hellas (FORTH), Institute of Computer Science (ICS), Human Computer Interaction Laboratory (HCI Lab)) Guest Editors
Última Actualización Por Vicky Cai en 2021-01-08
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Conferencias Relacionadas
CCFCOREQUALISAbreviaciónNombre CompletoEntregaNotificaciónConferencia
SC2International Symposium on Cloud and Service Computing2019-08-052019-08-312019-11-18
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CMLSInternational Symposium on Computational Models for Life Sciences2013-06-092013-07-072013-11-27
AETMSInternational Conference on Advanced Education Technology and Management Science2017-09-05 2017-09-17
IDSTAInternational Conference on Intelligent Data Science Technologies and Applications2020-08-012020-08-302020-10-19
GSNInternational Conference on Geosensor Networks2011-03-042011-04-112011-07-11
SISYInternational Symposium on Intelligent Systems and Informatics2020-05-152020-06-292020-09-17
DCAInternational Conference on Digital Contents and Applications2015-10-152015-11-102015-12-16
ab3ICMCSInternational Conference on Multimedia Computing and Systems2018-03-182018-03-312018-05-10
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