Journal Information
Computers & Electrical Engineering
http://www.journals.elsevier.com/computers-and-electrical-engineering/
Impact Factor:
1.084
Publisher:
ELSEVIER
ISSN:
0045-7906
Viewed:
6105
Tracked:
7

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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 2017-02-12
Special Issues
Special Issue on Software Engineering for Intelligent Systems and Control
Submission Date: 2017-06-25

The state-of-the-art in the current technology demands an effective system to provide assistance in modeling, solving and operation of complex systems. In order to meet this growing demand, intelligent systems are introduced. Intelligent agents provide cognitive information. Further, to manage these types of information and to perform certain actions on it, intelligent control systems are introduced by utilizing computational approaches such as fuzzy computing, genetic algorithms, pattern recognition etc. Solving complex applications requires advanced intelligent systems. Such intelligent systems incorporate Software Engineering principles and also techniques such as logic and constraint programming, knowledge systems which are further employed for the semantic web services and services in business aspects. An important issue associated with intelligent control system is to exactly acquire human knowledge and then transfer it to computer executable information. In order to resolve this challenge, software tools are used, which facilitates an effective approach. Hence, the dire need to develop such intelligent services has paved the path towards wide scope of research to progress. The aim of this special issue is to focus on the innovative methods that provide solutions for complex issues in intelligent systems. It solicits mainly contributions on illustrating the role of Software Engineering and its applications in development of intelligent control systems. Additionally, this special issue puts forth effective utilization of software tools in developing wireless-based intelligent control systems. Topics of interest for this issue are: Foundations of Software Engineering in intelligent systems. Intelligent control systems. Fault tolerance frameworks for intelligent systems. Intelligent systems modeling and analysis. Power management in intelligent systems. Energy issues related to intelligent control systems. Intelligent software and algorithms. Intelligent computation techniques. Agent based Software Engineering. Big data analytics in intelligent systems using Software Engineering methods. Software tools for intelligent control systems. Pattern recognition based intelligent control Wireless intelligent control systems. Effective Risk management and complex systems using Software Engineering
Last updated by Dou Sun in 2017-01-15
Special Issue on Parallel and Distributed Computing, Applications and Technologies
Submission Date: 2017-06-30

Parallel and distributed computing has been under many years of development, coupling with different research and application trends such as grid computing, cloud computing, green computing, etc. Nowadays the theory, design, analysis, evaluation and application of parallel and distributed computing systems are still burgeoning, to suit the increasing requirements on high efficiency and energy saving in global economy. Computers and Electrical Engineering announces a forthcoming Special Issue on "Parallel and Distributed Computing, Applications and Technologies". The objective of this special issue is to publish and overview recent trends in the interdisciplinary area of parallel and distributed computing, applications and technologies. This special issue will include selected substantially expanded papers presented at the 17th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2016), as well as papers submitted for this call-for-papers. All submitted papers are subjected to the same review process as those papers accepted for publication in the regular issues. Topics include: - Parallel/distributed architectures and algorithms - Reliability and fault-tolerance - Cloud computing - Data center networks - Task scheduling and resource allocation - Network routing and traffic analysis - Network search and data processing - IoT/cloud privacy and security - High-performance big data analysis and computing
Last updated by Dou Sun in 2017-05-22
Special Issue on Recent Trends in Signal Processing for 5G Technologies
Submission Date: 2017-06-30

5G technology is one of the rapidly growing research areas in recent times. The reason for such a development is that the 5G can provide high data rate, frequency efficiency, better coverage, capacity and overall better quality of service. Signal processing techniques play a vital role from 2G to 5G. Techniques such as TDMA, CDMA and OFDMA have played a major role in 2G, 3G and 4G respectively. The spatial domain signal processing techniques such as MIMO, cooperative diversity, beam forming and antenna diversity have primarily adopted in 4G however requires extensive study in 5G. Orbital Angular Momentum (OAM)-based spatial processing is a new tool for 5G which can effectively enhance capacity and spectral efficiency however, before including these techniques in 5G, a complete research is required. In addition to the advanced modulation and error correcting techniques, a number of signal processing techniques, such as system architecture, protocols, scheduling, rate adaptation, access procedures, relaying and spectrum allocation, require a thorough investigation. Flexibility is one of the most significant features of 5G which can be achieved not only by advanced signal processing but also requires powerful VLSI system. The successful implementation of 5G requires a lot of research inputs from academia, industry and standardization organizations. With the aim to publish recent research results in signal processing perspective of 5G communications, we call for papers that bring out novel research outcomes. Topics: - Array Signal Processing - Audio / Video Processing - Compressive Sensing and High-Dimensional Statistics - 5G Signal Processing Techniques - Neural/Biological Signal Processing - Radar/Sonar Signal Processing - Signal Processing Algorithms and Architectures - Signal Processing for Big Data - Energy Efficient Signals and Systems - Signal Processing for Communication Networks - Signal Processing for the Internet of Things - Statistical Signal Processing - Underwater Communications and Signal Processing - VLSI for Communications and Signal Processing - Signal processing for THz, mm Wave and RF Communications systems
Last updated by Dou Sun in 2017-05-22
Special Issue on Smart Computing And Algorithms
Submission Date: 2017-07-15

OBJECTIVE OF THE SPECIAL ISSUE: In recent years there have been emerging needs for Advances in Smart Computing and Algorithms. Various techniques are to be developed in various fields such as P2P Computing, Ubiquitous and High-Performance Computing, Green Computing, Artificial Intelligence and Machine Learning, and others. Solutions to most of the engineering problems have become easier by application of Smart Computing technologies. The mushrooming births of advanced Natural Language Processing and Machine Translation techniques and new intelligent system architectures are often due to fusion and hybridization of different learning and adaptation of smart computing and algorithms. This special issue is to bring together research work in the field of Smart Computing and Algorithms which investigates the mathematical novel solutions and applications as well as the future direction of this field that can benefit the mathematicians, computer scientist and engineers. We will not only take stock of trends and developments in the globally competitive environment, but we will also provide future directions to young researchers and practitioners. The special issue will consider substantially extended versions of selected papers presented at the International Conference on Smart Computing and Communication (SmartTech-2017), but we also consider external submissions in response to this CFP. TOPICS: The topics to be considered are: Artificial Intelligence and Machine Learning Autonomic and Trusted Computing Green Computing Computational Intelligence Context Awareness and Personalization Data Management, Exploration, and Mining Communication Systems Natural Language Processing and Machine Translation P2P Computing Parallel and Distributed Algorithms Pattern Recognition and Analysis Reconfigurable Computing Simulation, and Modeling Systems and Software Engineering Ubiquitous and High-Performance Computing
Last updated by Dou Sun in 2017-01-15
Special Issue on Emerging Wireless Networks
Submission Date: 2017-07-31

The eighth special issue on wireless systems attempts to create a platform to foster new ideas and technical insights in the design and analysis of wireless systems and discuss emerging wireless technologies. Original manuscript describing unpublished work not currently under review by any other journal are welcome. Papers may describe system level design, modeling, simulation, experiment and optimization of wireless systems, emerging wireless technologies and applications, wireless system protocols and architecture and multilayer integration of RF energy and sensing components. The list of topics includes: - Emerging wireless networks - Innovative and cross-layer middleware solutions for emerging wireless networks - Full duplex enabled communication networks - Wireless information and power transfer - Broadband systems - Applications of emerging wireless networks - Delay-sensitive and multimedia communication - Simulation models and tools for emerging wireless networks - Energy efficiency in emerging wireless networks - Wireless systems architecture: peculiar features and evolution - Deployment strategies - Layers in emerging wireless networks (physical, datalink, network, transport, application) - Developments, issues, and open areas - Resource Management in emerging wireless networks - Future perspective for Emerging Wireless Networks
Last updated by Dou Sun in 2017-05-22
Special Issue on BIG-DATA AND CLOUD TECHNOLOGIES
Submission Date: 2017-08-25

The boom of cloud technologies and cloud data storage has been a forerunner and enabler to the growth of Big Data. These technologies have substantial advantages over conventional physical deployments. However, better performance and efficiency of data analysis require a clear distinction of the boundaries between the private clouds, public clouds, and Internet of Things (IoT). A common approach to tackle this issue is to develop Big Data in the Cloud to deliver everything as a Service. The projects in this domain regularly exhibit unpredictable, bursting, or immense computing power and storage needs. At the same time, the stakeholders expect swift, inexpensive, and dependable products and project outcomes. The main objective of this special issue is to assort these challenges into different categories and seek the best articles, demonstrations, recommendations and solutions in the following areas: Topics: Innovative Cloud Infrastructure for Big Data Mobile-Driven Cloud Computing Scientific Computing, Data Management and Analytics in Cloud Big Data and Cloud for Enterprise, Government and Society Big Data for Cloud-assisted, IoT-based Cyber-Physical Systems Big Data and Cloud for Improving Resilient Infrastructure Automatic Business Process and Workflow Management in Clouds Multimedia Applications in Mobile Cloud Environments Big Data and Cloud Research and Project Experience in Biomedical, Energy and Environment Control, Service Systems in Tourism, Transportation and Urban Planning, Vertical Markets – Telecom, Sensors, Social Networking, Smart Cities, Food and Agriculture. Case Studies of Big Data Value Creation This special issue will consider substantially extended versions of papers presented at ICBDCC17 – International Conference on Big Data and Cloud Computing (Conference URL: www.karunya.edu/cse/icbdcc17) as well as external submissions.
Last updated by Dou Sun in 2017-01-15
Special Issue on Quality, Reliability and Resilience in Hybrid Information Systems
Submission Date: 2017-09-22

For decades, the ever-increasing requirement for hybrid information and the continual improvement of hybrid information processing have led to different types of hybrid information systems (HISs). Meanwhile, the quality, reliability and resilience (QRR) of HIS is the basis of its large-scale applications in many research domains. To this end, quality, reliability and resilience of hybrid information system has been recognized as a promising technology to facilitate research in information processing, communication networks, internet of things (IoT), etc. Many challenges remain in several aspects of QRR in HIS. First, heterogeneous topologies for hybrid information networks bring technical challenges in design and management of the HIS. Second, in order to manage HIS more effectively, how to measure and analyze the traffic of HIS still needs to be studied. Therein, how to extract various features from hybrid information for content semantic analysis and understanding is an important domain. Third, quality of service necessities for hybrid information causes challenges for big data transmission optimization in HIS. Finally, HIS reliability protection and system resilience enhancement in various environments is one of the bottlenecks restricting large-scale HIS applications. However, resource constraints of HIS increase reliability and resilience concerns related to their utilization in HIS. All these issues need more attention and research today. Likewise, sophisticated and robust mathematical methods are needed in hybrid big data processing. Meantime, emerging architectures which can improve the efficiency of this domain are also encouraged. In light of those challenges, this special issue intends to bring state-of-the-art research and developments in HIS. Researchers are invited to contribute original research articles and comprehensive review articles that seek to understand the various techniques, address those challenges, and provide future improvements in this research domain. Topics of interest include: - Traffic analysis and management of HIS - Emerging technologies in topology management in HIS - Performance analysis of transmission control in HIS - Efficient big data transmission in HIS - Malware behavior analysis in HIS - Demand Side Management in HIS - Privacy management in HIS - Distributed renewable management in HIS - Fault diagnose and processing in HIS - Optimization methods in reliability of HIS - Maintenance Modeling Analysis in HIS - Warranty Modeling Analysis in HIS
Last updated by Dou Sun in 2017-05-22
Special Issue on Artifical Neural Network-Based Wireless Sensor Communication
Submission Date: 2017-09-30

Wireless sensor network is one of the most effective communication mechanisms in the present world. The current research is combating in crossing over the limiting boundaries. Despite the immense growth of wireless sensor communication, there are many challenges such as conflicts, middle-man attack, loss of energy, optimized path, etc. This special issue invites researchers to provide new directions in addressing the current challenges in identifying different routing algorithms with energy efficient protocols to make the most effective transfer of information. It will focus very specifically on bringing the current edge opinions on the artificial neural network- based wireless communication systems. Authors are invited to submit original unpublished research manuscripts focused on the latest developments in machine learning or artificial neural network-based wireless sensor communication. The topic of interest are: - Quality of the services using the machine learning methods or Artificial neural networks - Cognitive frame work using ANN in wireless network - Reliable data transmission in the wireless network - Clustering process using the artificial networks - Management of energy efficiency - Fast stable learning in the wireless sensor network - Neural Network based power management systems - Information storage and quality prediction using ANN - Localization of node in WSN - FPGA implementation process in ANN - Distance recognition in wireless sensor network using ANN - Analyzing different activation function using the supervised learning algorithm - Self learning, adaptability, deployment process in the wireless sensor networks - Optimization techniques to improve inter and intra clustering process in the wireless sensor network.
Last updated by Dou Sun in 2017-05-22
Special Issue on Artificial Intelligence and Computer Vision
Submission Date: 2017-10-01

The integration of artificial intelligence and computer vision 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 computer vision research. The explosive number of artificial intelligence algorithms and increasing computational power of computers has significantly extended the number of potential applications for computer vision. It has also brought new challenges to the vision community. This is the second special issue on artificial intelligence and computer vision: the first special issues on the same topic will be published in July 2017. We expect to have more special issues on artificial intelligence and computer vision as the area is open to new developments with many innovative and highly productive research. Authors are invited to submit outstanding and original unpublished research manuscripts focused on the latest findings in artificial intelligence and computer vision. The topics of interest are strictly limited to: Theoretical Foundations of Artificial Intelligence 3D Scene Reconstruction RGB-D Vision Pattern Recognition and Machine Vision Computational Imaging Object Tracking Deep Learning for Computer Vision Deep Learning for Mobile Computing Multimedia Big Data Analysis Big Data Analysis for Robotic Vision Big Data Analysis for Medical Imaging Computer Vision for Ocean Observing User Experience for Big Multimedia Systems Artificial Intelligence Hardware Design Smart Vision-based Robotic Manipulation Submission of manuscripts: Research articles must not have been published or submitted for publication elsewhere. All articles will be peer reviewed and accepted based on quality, originality, novelty, and relevance to the special issue theme. Before submission authors should carefully read over the journal's Author Guidelines, which is available at http://www.elsevier.com/wps/find/journaldescription.cws_home/367/authorinstructions. Manuscripts must be submitted through Elsevier Editorial System (http://ees.elsevier.com/compeleceng/) using the Article Type “SI-aicv2”.
Last updated by Dou Sun in 2017-01-15
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