Journal Information
Computers & Electrical Engineering
http://www.journals.elsevier.com/computers-and-electrical-engineering/
Impact Factor:
1.747
Publisher:
ELSEVIER
ISSN:
0045-7906
Viewed:
13356
Tracked:
28

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Call For Papers
The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency.

Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.

Specific topics of interest include:

    Applications of high-performance computing and novel computing systems

    Internet-based, multimedia, and wireless networks and applications

    Communications, especially wireless

    Signal processing architectures, algorithms, and applications

    Green technologies in information, computing, and communication systems

    Multi-disciplinary areas, including robotics, embedded systems, and security
Last updated by Dou Sun in 2018-08-17
Special Issues
Special Issue on Visual Servoing and its Applications
Submission Date: 2019-10-15

Visual servoing task is to control the pose of a robotic system, relative to a target, using visual features extracted from an image. Advanced robot systems often integrate up-to-date sensors, vision systems, and visual servoing techniques to deal with non-static target objects of various shapes and colors. The environment a robot is immersed in its orientation, and its motion can be described through visual information. The camera may be carried by the robot or fixed in the surroundings, known as endpoint closed-loop (eye-in-hand) and endpoint open-loop, respectively. Visual servoing has proven to be useful in a wide range of real-world applications, such as military, medical devices, trade, search and rescue, security, among many others. For instance, visual servoing techniques can be applied on unmanned vehicles, which can be used for surveillance, road-traffic control, border inspection, and reserved areas supervision, to provide visual information from the surroundings. Nowadays, the study on enhancing the autonomy of these vehicles has focused on navigation and formation control, target recognition, and tracking, among many others, by improving their visual capabilities. For example, the formation control in unmanned aerial vehicle (UAV) swarms is used in applications like searching and mapping to fly in groups above vast areas for goods delivery, tracking and even locating and following military targets. Visual servoing must produces the necessary commands to maintain the vehicle attitude and define the flight path based on the provided information from onboard sensors. Improving the autonomy of robots is still one of the challenges facing visual servoing and there are various ongoing studies in this field, where each system may differ from others in size, appearance, type of power plant, and more; due to these differences, they may also show distinct characteristics, but the equipment employed for evaluating their position and orientation is usually the same, which consists of inertial measurement units (IMU) and vison sensors. One of the flaws of using inertial information for motion is the accumulation of small errors on estimating the robot position, which consequently results in drift and deviation in determining its location over time. In modern motion equipment, the global positioning system (GPS) information is used for continuously correcting the IMU estimations and solving this problem, but in the event of interference or disconnection of the GPS signal, the position and motion error should remain and therefore visual servoing can be used for guidance and navigation in different kind of applications to improve the robot autonomy by feedback control of pose and motion through information acquired by onboard vision sensors. Topics: The topics of interest, listed below, are aimed to show continuing efforts provided in the domain of Visual Serevoing applications. § Control system design for camera-carrying moving platforms. § Image processing algorithms for feature extraction. § Stability improvement. § Target location and recognition. § Speed estimation § Tracking
Last updated by Dou Sun in 2019-08-11
Special Issue on Sensors and Wearable-based Intelligent Systems
Submission Date: 2019-12-24

Overview Sensor-based IoT (Internet of Things) systems and wearable systems have become popular recently due to their portability, effectiveness, easy-of-use interface, and accurate measurements. Modern smart and intelligent environments need advancements in such sensor and wearable-based applications that can not only thrive on the power of sensor-based systems, but also solve daily life problems in the domains of health, education, governance, security, tourism, etc. Thus, it is important to develop intelligent methods and techniques that can use artificial intelligent algorithms to maximize the use of sensors and wearable devices and produce intelligent and smart IoT systems that are beneficial for humans. In the past few decades, automated and intelligent Smart Systems have emerged, opening new research directions that are still evolving due to new challenges and technological advances in the field. The aim of this special section is to bring together academics and industrial practitioners to exchange and discuss the latest innovations and applications of IoT and wearable devices in the domain of artificial intelligent-based systems. The International Conference on Intelligent Technologies and Applications (Bahawalpur – Pakistan Oct, 2019, INTAP-2019, http://jdconline.net/intap/) is being organized by Artificial Intelligence Research Group with cooperation of Sir Sadiq Association of Computing and the Islamia University of Bahawalpur, Pakistan. INTAP-2019 focuses mainly on techniques and applications for IoT and wearable-based smart environments. This special section will include a few invited extended versions of the best papers presented at INTAP-2019. Topics The scope of this special sectin is the application of artificial intelligence techniques and algorithms using IoT and wearable devices to designing and solving problems of smart systems in the domain of education, health, agriculture, business, etc. These techniques might include: Wearable IoT systems Implantable IoT systems IoT-based Connected Vehicles IoT-based Smart Supply Chain and Retail Energy Efficient IoT Systems Wireless Positioning and IoT Smart Environments and IoT RFID and Smart Technologies for IoT Machine Learning for IoT
Last updated by Dou Sun in 2019-03-31
Special Issue on Smart City Oriented Cyber-Physical Systems
Submission Date: 2019-12-30

With the popularization of information technology and the continuous progress of big data technology, it has been urgent to generate various types of network intelligence and dynamic information collection systems. The Internet of Things (IoT) and computers with powerful functions can simulate urban operation by operating under reasonable safety regulation. However, a series of practical problems should be solved to make breakthroughs and realize sustainable development of a new urban generation. Information technology is widely used for multi-dimensional aggregation in smart cities. By using technologies, such as networking, intelligent sensor placement can be applied in cities for the creation of object-linked information integration. Moreover, the collected information can be integrated with the Internet and other networks based on intelligent analyses. Such systems can implement analyses according to the requirements for intelligent decision support and communication. Practical systems can be established through information technology for public service, public industry, and public management. Also, the service efficiency of the government and the life quality of the public can be improved. A smart city emphasizes high-efficiency information processing ability, information resource integration ability, and management ability to coordinate various activities. Interdisciplinary, multi-level, cross-sectional, and cross-regional cooperation can realize the interconnection and mutual understanding among people, objects, networks and industries. Consequently, new models and new forms of urban development can be realized, which reflect the wisdom of smart cities. As a complex multi-dimensional system, Cyber-Physical System (CPS) is a comprehensive computing, network and physical environment. The information world can be closely integrated with the physical world through the combination of control technology, communication technology and computing technology. With close relation to human life and social progress, IoT has been widely used in various fields such as industrial control, environmental monitoring, intelligent medical, intelligent transportation, intelligence grid, military reconnaissance and aerospace. As a typical application of IoT, intelligent medical systems can provide reliable, safe and real-time medical services in a wired or wireless way. The key information in intelligent transportation system, such as traffic signals, can be monitored in real time. The system analyzes, computes, and publishes a great deal of information, so that real-time road information can be shared by vehicles. By observing and real-time monitoring the system, road managers can release information and guide vehicles to improve urban traffic conditions. High quality and up-to-date technology of CPS and IoT are the target of this special issue. It can be taken as a forum for researchers from different countries to discuss their works and progresses. Particularly, the issue aims to show the latest progress and development in the discovery and exploration of IoT. Both state-of-the-art practical applications and theoretical studies can be submitted. The submitted papers will be peer-reviewed and selected according to their quality and relevance to the special issue. Topics: Topics of interest include the following: - Integration of provenance into Cyber-Physical Systems(CPS) and Internet-of-Things - Internet of Vehicles and Internet of Things - Real-time meanings in different application spaces: energy, transportation, medical and aeronautics - Pervasive and Ubiquitous Technology in IoT - Mining of spatial data in IoT - Multimedia Communications and Visual Signal Processing in IoT - Physical/virtual testbeds for real-time closed-loop control - Robot navigation in IoT - Knowledge reasoning in physical systems - Machine learning and other approaches for real time data analytics - Data-driven urban transportation management
Last updated by Dou Sun in 2019-05-09
Special Issue on Image Processing in Security Applications
Submission Date: 2019-12-30

Signal processing research plays an important role in industrial and scientific applications, which has boosted important changes and developments in recent decades. The increased use of Internet, social networks and wireless communication technologies with high quality image streaming, necessitate to secure and protect the transmitted information. One of the main goals of the researcher community is to handle and analyze media data (images or videos) in order to embed or retrieve meaningful information. The necessity to conceal or recover relevant information in images and video have led technological advancements in many domains, such as: face recognition for video surveillance, pattern recognition for monitoring, cryptography to improve information protection, forensics for data verification integrity, people and vehicle tracking, intruder detection and target recognition, among many others. These applications have proven the importance of performing research in this area for continuous innovation. The remarkable number of new emerged methods and the increasing computational power of integrated circuits and personal computers have increased the necessity for more efficient and powerful Image Processing methods for Security, bringing greater challenges to the scientific community. Therefore, researchers are invited to submit outstanding and original unpublished research manuscripts focused on the latest achievements of Image Processing in Security Applications. Topics: The topics of interest are aimed to show continuing efforts provided in the domain of Image Processing for Security applications. The topics of interest include the following: Image/Video Coding and Compression Image/Video Cryptography Watermarking and Steganography Biometric recognition/forensics Tracking systems Security metrics and models Information Forensics and Security Surveillance Image/Video Communications and Networks Image/Video Storage and Retrieval Cybersecurity
Last updated by Dou Sun in 2019-05-18
Special Issue on Internet of Energy - designing and planning energy-efficient smart control systems
Submission Date: 2019-12-31

The extensive attention drawn towards development of Internet and shift towards green energy, pioneered the novel concept of Internet of Energy (IoE) by converging the two notions with the aid of Internet of Things (IoT). IoT enables innovative ways to share data, leverage devices, and facilitates remote access. However, problems arise because the infrastructure has not been modernized for implementation. To capitalize on the notion of IoE, physical grids must evolve. The upgrading and automation of electricity infrastructures allow clean energy production with minimal waste. Millions of small renewable energy- generating units are added to the main energy system, in order to achieve maximum efficacy. Increasing demand for a clean energy intensifies the need of transforming the conventional grids. Even though the solution is renewable energy, the radical shift from existing grids leaves us with tremendous technical challenges that require an entirely new way of managing energy systems. In similar fashion, IoE benefits its stakeholders by increasing efficiency, wireless charging, saving money, and reducing waste production. Further, IoE uses sensors to gather data from various equipment to improve the operational performance, subsequently followed by analysis through domain-specific software. The beauty of IoE is that its benefits are not limited to the large manufacturers, but utility providers, domestic producers, and solar-based companies can also benefit from it. Furthermore, IoE also enables the grid infrastructure to improve energy generation and distribution, while facilitating the integration of renewable energy generators. Simultaneously, IoE ensures grid data collection from the beginning to the very last end of the grid. Such aggregated data will empower utility decision making regarding load balancing, forecasting, and pricing. For this special section we are soliciting high quality unpublished manuscripts that present original results. The aim is to bring novel research ideas, highlight the open issues, and indicate current research advancements and future directions in the field of IoE-based smart control systems and energy grids, their architectures and various applications in IoT. Potential topics include: Next generations of IoE-based smart electronic/embedded devices architectures New algorithms and architectures for IoE in the context of IoT New security and privacy models for protecting IoE based infrastructures Semi and full autonomous architectures of embedded devices based on IoE The applications and designing of sustainable environments and smart grids based on IoE IoE and the global demand for clean energy The applications of Artificial Intelligence and Quantum computing in IoE Industrial practices and benchmark suites for IoE Wireless powering of devices over several meters using IoE Migration from traditional electronics to IoE based electronics Designing energy harvesting techniques based on IoE
Last updated by Dou Sun in 2019-07-27
Special Issue on Mobile Intelligence for Sustainable Enterprise Management
Submission Date: 2020-01-25

Mobile Intelligence Research focuses on applications of elements of intelligence to different areas, including automatic control, pattern recognition, electronic and mobile commerce, e-finance, e-payment, telecommunications, vision, forecasting, learning, data communication, and wireless optimization. Future e-commerce industry as a whole is experiencing a huge increase in the use of data driven intelligent computing that goes way beyond what we imagined ten years ago. Mobile intelligence is manifested in many different ways, including our abilities to modeling, analysis, integration, monitoring, and management interact with business environment. Mobile data is being collected in different formats, at unprecedented speeds, and from many different sources. There are increasingly complex challenges, with a need to leverage large amounts of heterogeneous data to develop computational intelligence solutions for process optimizations, monitoring, and control applications. Design of the tools imitating human abilities is important task of Mobile Intelligence. such as healthcare and neuroscience, design and art, Internet of Things, computer vision and speech processing, imaging and 3D data, education and learning, climate, economy and finance. This special section focuses on high quality research papers that address significant and Future Mobile Intelligence application and related system development issues in the emerging sustainable wireless applications. It invites high quality research contributions from a wide range of professions, including scholars, researchers, academicians and industry people. Original research papers and state of the art reviews will be accepted. We anticipate that the special section will open new entrance for further research and technology improvements in this important area. Suggested topics include: Mobile enterprise modeling: supervised, unsupervised and reinforcement learning Evolutionary computation, wireless modeling and simulation Development of new technologies for mobile intelligence and large-scale wireless analysis. Uncertainty modeling in big data analytics for mobile intelligence Providing solutions to pressing problems across areas including connected and autonomous vehicles, automation, healthcare, and enterprise security. Bridge developments in Artificial Intelligence to real mobile applications in collaboration with industry partners. New generation of scientists to address the skills shortage in these areas and increase competitiveness Complex systems, multi-agent systems, game theory and statistics
Last updated by Dou Sun in 2019-07-27
Special Issue on Recent Advancements in Big Data Fusion
Submission Date: 2020-02-15

Overview The term Data Fusion refers to the process of combining data coming from different sources with the goal of producing a more complete, improved and precise information than that provided by each source separatedly. The Data Fusion paradigm has been growing recently due to factors such as sustained increase in systems connectivity, the advent of the Internet of Things (IoT), and the need for dealing with Big Data. In the current distributed environment, where it is possible to find heterogeneous data sources that generate big amounts of data, the use of Data Fusion techniques has demonstrated to be useful to address diffent tasks in various application domains. Big Data Fusion is strongly linked to current trends such as big data analytics, sensor networks, and the IoT. These are constantly evolving disciplines where new challenges related to data management and explotation arise continuously. In order to deal with these challenges, the Data Fusion paradigm also needs to be continuously updated by means of new methods and architectures that make it possible to mantain its high degree of applicability in different domains. The aim of this special section is to disseminate the latest advances in Big Data Fusion regarding the new methods, architectures and applications that emerge from the scientific community. It is intended to contain mainly the extended versions of the best papers presented at the International Conference on Data Science, E-learning and Information Systems 2019 (Data'19, Dubai, Arab Emirates, Dec. 2019,http://iares.net/Conference/DATA2019). Topics: Suggested topics include: Big Data Fusion Big Image Fusion Data Fusion in Incomplete or Imprecise Environments Data Fusion in Distributed Environments Data Fusion Algorithms Data Fusion Architectures Data Fusion for Time Series Analysis Data Fusion in the Internet of Things Data Fusion in Data Mining Tasks Data Fusion in Sensors Networks Image Data Fusion Bio-inspired Data Fusion Data Fusion in Environments with Limited Resources Multi-agent Data Fusion Systems Data Fusion Applications: Medicine, Education, Transportation, Economics, Robotics, etc. Mining Big Data Fusion Multimedia Big Data Fusion
Last updated by Dou Sun in 2019-03-31
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