Journal Information
Computers & Electrical Engineering
http://www.journals.elsevier.com/computers-and-electrical-engineering/
Impact Factor:
1.57
Publisher:
ELSEVIER
ISSN:
0045-7906
Viewed:
8134
Tracked:
12

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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 Xin Yao in 2017-08-21
Special Issues
Special Issue on Emerging Technologies for Connected Vehicles and ITS Networks
Submission Date: 2017-12-01

Over the past decade advances in vehicular communications, also referred as Connected Vehicles and intelligent transportation systems (ITS), have intended to trim down the fuel expenditure by avoiding congested traffic and enhancement of traffic safety, while initiating a new application perspective, i.e., mobile infotainment. To address the individual requirements of both safety and non-safety applications in the Connected Vehicles, there is a need to build a new communication technology for the integrated solutions of vehicular communications and ITS. Connected Vehicles can be of various types, such as Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), and Vehicle-to-Everything (V2E). Due to the rapid growth in Connected Vehicles, many research issues need to be addressed, e.g., reliability and latency, appropriate scalable design of MAC and routing protocols, performance and adaptability to the changes in environment (node density and oscillation in network topology), and evaluation/validation of Connected Vehicles’ protocols under the umbrella of coherent assumptions using simulation methodologies. This special issue aims to emphasize the latest achievements to identify those aspects of Connected Vehicles and ITS networks that are identical to a traditional communication network in the broader spectrum. Papers that exploit connectionism and emergence of networking systems in various problem-solving methods in the Connected Vehicles and ITS are invited. Also, papers that outline essential challenges, proof of the concept studies with a direct and simulated comparison to the technical solutions, and mathematical models of the communication principles are welcome. Topics of interest include: - Intra-vehicle communication (vehicle-to-pedestrians, vehicle-to-portable, vehicle-to-sign, etc.) - Network and system architecture for Connected Vehicles - MAC protocols and channel management - Physical layer and routing protocols - Delay tolerant vehicular networks - Real-time optimization system - Modeling and theory - Internet-of-Vehicles, smart sensors (infrastructure and vehicle based) - Mobility management (Traffic models) - Energy efficient vehicular communication - Quality-of-Service for vehicular communication - Future Internet in ITS and Networking Systems - Information and Content Centric Networking in Connected Vehicles Networks
Last updated by Dou Sun in 2017-09-15
Special Issue on Edge-of-Things Computing for Smart Healthcare Systems: Opportunities and Challenges
Submission Date: 2017-12-30

Recently, the Internet of Things (IoT) technologies have made their entrance into the healthcare domain. It is now providing many opportunities to develop Smart healthcare solutions with more intelligent and prediction capabilities both for daily life (home/office) and in-hospitals. In most of such Smart healthcare IoT systems, numerous IoT devices and sensors are being used to monitor users’ healthcare status and transmit the data directly to remote cloud data centers. Such combination of cloud computing and IoT (Cloud-IoT) enables the resource-constrained IoT devices to get the benefit from Cloud’s high-performance computing and massive storage infrastructure for real-time processing, storing, visualization, and analysis of IoT data. However, currently such Cloud-IoT system is facing increasing difficulty to handle the healthcare Big data that IoT generates from various healthcare applications and services. It has become challenging to ensure low latency and network bandwidth consumption, scalability, reliability, mobility, and energy efficiency of healthcare IoT devices while moving all data to the cloud. To cope with these challenges, a recent trend is to deploy an edge computing infrastructure between IoT healthcare system and cloud computing. This new paradigm termed as Edge-of-Things (EoT) computing, operates closer to the IoT data source and allows computing, storage and service supply to be moved from Cloud to the local edge devices such as Smart phones, Smart gateways or routers and local PCs. These edge devices can offer computing, intelligence and storage capabilities on a smaller scale in real-time. Thus, EoT paradigm enables accurate healthcare service delivery with low response time. It helps to avoid delays and network failures that may interrupt or delay the decision process and healthcare service delivery. However, the successful utilization of edge-of–things computing in a Smart healthcare system is still challenging. There exist several issues that need to be addressed such as novel network architecture and middleware platform for Edge-of-Things in healthcare system considering emerging technologies such as 5G wireless networks, software defined network and semantic computing; edge analytics for healthcare Big data; novel security and privacy methods; social intelligence into the edge node to host healthcare applications; and context-aware service management on the edge with effective quality of service (QoS) support and other issues. This special issue targets a mixed audience of researchers, and practionars from both academia and healthcare industry to share and exchange new ideas, approaches, theories and practice to resolve the challenging issues of utilizing the Edge-of-Things technology for improving the efficiency, sustainability and reliability of smart healthcare systems. Therefore, the suggested topics of interest for this special issue include: - Novel Edgecomputing architecture for Smart healthcare monitoring system - Distributed Deep Learning on Edge devices for Smart healthcare data analysis - Energy-efficient data offloading and computing over Edge for Smart mobile healthcare - Techniques, algorithms and methods of processing smart healthcare data over Edge devices - Cognitive Edge computing for Smart healthcare system - New communications and networking protocols for Edge computing in Smart healthcare system - Programming models and toolkits for supporting Edge Computing for Smart healthcare system - Trust, privacy and security issues in Edge computing for Smart healthcare - Simulation, emulation and testbed support of Smart healthcare systems over Edge computing - Autonomic resource management on Edge devices for Smart healthcare - Mobility and context-aware information processing in edge computing for healthcare applications - Emerging Smart healthcare services and applications over Edge computing
Last updated by Dou Sun in 2017-08-05
Special Issue on Towards Secure and Scalable Fog/Edge Computing
Submission Date: 2018-02-28

In recent years, Fog Computing has appeared as a new paradigm that extends computing infrastructure to the network edges to provide computation, networking, and storage services between end devices and data centers. Fog systems are capable of processing large amounts of data locally, are fully portable, and can be installed on heterogeneous hardware. These features make the Fog platform highly suitable for time and location-sensitive applications, and it can be seen as an interface between IoT and Cloud. The extensions from cloud to Fog and Fog to IoT are not trivial, as there exist many fundamental differences emanating from the reason that Fog computing is developed. Fog computing system design and implementation are challenging, including model analysis, computing/communication/control co-optimization, architecture/algorithm/protocol design, energy consumption/delay control, workload balance/allocation, prototype test, system integration, application implementation, and many others. In addition, since Fog devices are deployed at the network edge at a much lower cost than cloud servers, they are more easily compromised and less trustworthy. Therefore, awareness of security and privacy challenges in fog computing requires a great deal of attention and in-depth exploration. This Special Issue intends to collect cutting-edge research from both academia and industry, with emphasis on current developments and future directions in security and privacy issues of emerging fog computing. We invite authors to submit their original papers. Potential topics include: - Authentication, auditing and accountability in fog/edge computing - Edge computing architectures and solution design patterns - Edge computing for IoT - Communication and networking protocols for edge/fog environment - Fine-grained access control mechanism in fog/edge computing - Privacy-preserving computation in fog computing - Trust and reputation issues in fog/edge computing - Security architecture for fog-cloud computing - Key management in fog/edge computing - IoT communication in fog computing scenario - Edge/fog based data services, including distributed data centers, data analytics, caching - Edge/fog caching for big data - Quality of experience and quality of service for fog/edge computing - Big data analytics for workload management in edge/fog environment - Energy management of fog/edge infrastructure
Last updated by Dou Sun in 2017-09-30
Special Issue on Soft Computing Approaches for Sustainable Systems
Submission Date: 2018-03-05

To deal with uncertain and imprecise problems of real world, Sustainable Systems with Soft Computing approaches proved to be successful in multi-criteria control strategies ranging from urban infrastructure ecology to renewable electricity and corporate environmental strategy. Soft computing techniques offer an effective solution for studying and modelling the stochastic behaviour of sustainable systems and their ability to handle imprecise information has been a key factor for their increasing demand. Modern environmental challenges like Depletion of fossil fuels, Global warming, Water scarcity, and Loss of biodiversity can be dealt with intelligently using soft computing techniques with sustainable systems. Integration of soft computing approaches via Artificial Neural Networks, Genetic Algorithms, Cluster Analysis, Fuzzy Logic, Evolutionary Computation, Swarm Intelligence and their applications in sustainable systems helps to solve lots of social concerns. This special issue aims to gather latest research and development achievements in this area and to promote their applications in all important fields with society needs. Topics of interest are: - Multilayer perceptron neural networks (MLP) in sustainable systems - Algorithms for analysis, modelling, simulation and optimization of sustainable systems - Renewable generation technologies - Sustainable design and models for disaster management - Smart grid-connected renewable energy systems - Sustainable systems with Artificial Intelligence (AI) - Human-centred sustainable systems - Adaptive neuro-fuzzy interference systems (ANFIS) - Measurement and instrumentation techniques - Sustainable smart city approaches - Sustainable wireless networks - Geographical load balancing with sustainable systems - Information-intensive sustainable systems - Sustainable transportation technologies - Photo-voltaic (PV) systems and grid-connected PV plants - Sustainable systems for health-care informatics - Soft computing models for sustainable systems
Last updated by Dou Sun in 2017-08-05
Special Issue on Artificial Intelligence and Robotics
Submission Date: 2018-03-30

The integration of artificial intelligence and robotic technologies has become a topic of increasing interest for both researchers and developers from academic fields and industries worldwide. It is foreseeable that artificial intelligence will be the main approach of the next generation of robotic research. The explosive number of artificial intelligence algorithms and increasing computational power of computers has significantly extended the number of potential applications for robotic technologies. It has also brought new challenges to the artificial intelligence community. Authors of substantially expanded versions of papers presented at ISAIR 2017 are invited to submit their papers. The topics of interest are strictly limited to: - Audio Multimedia Learning - Cross Multimedia Learning - Cloud Multimedia Processing for Robotics - Deep Learning for Robot Vision - HPC for Deep Learning - Multimedia for Robot Manipulation - Multimedia for Robot Navigation - Multimedia Fusion for Robotics - Multimedia Communications for Robots - Multimedia Compression for Robots - User Experience for Multimedia Systems - Wireless Multimedia Robots - Robotics and Mechatronics - Robust and Nonlinear Control
Last updated by Dou Sun in 2017-11-04
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