Trust Management in Pervasive Social Networking (TruPSN)

Submission Deadline: 31 January 2017

IEEE Access invites manuscript submissions in the area of Trust Management in Pervasive Social Networking.

With the rapid growth of mobile computing and social networking, social networks have extended its popularity from the Internet to mobile domain. Pervasive social networking (PSN) ensures social communications at any time and in any place in a universal manner. PSN supports on-line and instant (i.e., pervasive) social activities based on heterogeneous networks and is treated as one of killer applications in the next generation mobile networks and wireless systems (i.e., 5G). There are various applications over PSN. Typical examples include social chatting, gaming, rescuing, recommending and information sharing. Because group mobility is very common in modern life, PSN has become valuable for mobile users, especially when they are familiar strangers and often appear in vicinity. PSN greatly extends our experiences of social communications.

However, trust and reputation management has not been extensively considered in existing studies, although trust plays an important role in PSN for reciprocal activities among strangers. A number of issues, such as trustworthy identification and authentication, PSN data communication security, user privacy preservation, trust relationship evaluation, evolution and enhancement, unwanted information control, privacy-preserving social data search and mining, user-device trust interaction, etc. have not been extensively studied. Pervasive social networking introduces additional challenges to track and resist malicious social behaviors in practice, especially when user privacy and PSN security should be seriously considered and stringently supported. This Special Section in IEEE Access aims at presenting advanced academic and industrial research results related to trust management in PSN.

Topics of interest include, but are not limited to:

  • Trust evaluation and reputation generation in PSN
  • Security and trust framework of PSN
  • Trustworthy human-computer interaction
  • Data trust and user trust
  • Identity management and identity trust
  • Privacy preservation and enhancement
  • Social communication and networking protection
  • Intrusion detection and unwanted content control in PSN
  • Trustworthy and anonymous authentication in PSN
  • Trustworthy and privacy-preserving social data mining, clustering and classification
  • Privacy-preserving social data search
  • Social acceptance studies of PSN applications and services
  • Applications of PSN trust and reputation management
  • PSN based schemes for security protection
  • Biometrics schemes for TruPSN
  • Case studies and practical examples
  • Performance evaluation of TruPSN
  • Security, trust and privacy of PSN in 5G (e.g., D2D communications)

 

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Associate Editor: Zheng Yan, Xidian University, China; Aalto University, Finland

Guest Editors:
1. Honggang Wang, UMass Dartmouth, USA
3. Laurence T. Yang, St Francis Xavier University, Canada
4. Valtteri Niemi, University of Helsinki, Finland

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)

Energy Harvesting and Scavenging: Technologies, Algorithms, and Communication Protocols

Submission Deadline: 30 December 2016

IEEE Access invites manuscript submissions in the area of Energy Harvesting and Scavenging: Technologies, Algorithms, and Communication Protocols.

The operation of modern electronic communication devices rely on constant energy sources such as DC power obtained from AC sources via AC to DC conversion or small chargeable/replaceable batteries. However, in some cases, providing a constant energy source is not feasible. Due to the advancement in technology, energy harvesting technologies can be exploited to power-up the modern day electronic communication devices. These energy harvesting technologies rely on energy sources naturally present in the environment, such as solar energy, wind energy, and heat energy. Moreover, energy can also be acquired from the human body from movement of different parts of the body such as walking, heartbeat, movement of arms, just to name a few. All these energy harvesting technologies and techniques may satisfy the need of energy for low power communication devices and may enable the charging of electronic mobile devices anywhere and at any time.

In this Special Section in IEEE Access, we focus on the most recent advances in the interdisciplinary research areas encompassing the Energy Harvesting domain. This Special Section will bring together researchers from diverse fields and specializations, such as communications engineering, computer science, electrical and electronics engineering, bio-medical engineering, education sector, mathematics and specialists in the areas related to energy harvesting technologies. In this Special Section, we invite researchers from academia, industry, and governmental organizations to discuss challenging ideas, novel research contributions, demonstration results, and standardization efforts on the energy harvesting and related areas.

Topics of interest include, but are not limited to the following:

  • Battery Recharging Techniques
  • Harvesting Technologies (Solar Cells, Peizoelectric, Electrostatic, Bio Fuel Cell)
  • Analysis of Energy Sources (walking, body heat, heart beat etc) in Body Area Networks
  • Solar Energy based Battery Recharging
  • Bio Chemical Energy Harvesting Sources
  • Bio Mechanical Energy Harvesting Sources
  • Ambient Energy Harvesting Sources
  • Wind Energy based Battery Recharging
  • Head Energy based Battery Recharging
  • Wireless Power Transfer
  • Inductive Coupling Methods of Energy Harvesting
  • Magnetic Resonance based Methods of Energy Harvesting
  • Energy Harvesting in Wireless Body Area Networks
  • Energy Harvesting in Cellular Networks
  • Energy Harvesting in Cognitive Cellular Systems
  • Energy Harvesting in Wireless Sensor Networks
  • Standardization Activities for Energy Harvesting in Communication Networks
  • Spectrum Related Issues for Energy Harnessing
  • Security and Privacy Issues of Energy Harvesting
  • Algorithms and Protocols for Energy Harvesting

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: Mubashir Husain Rehmani, COMSATS Institute of Information Technology, Pakistan

Guest Editors:
1. Ayaz Ahmad, COMSATS Institute of Information Technology, Pakistan
2. Abderrezak Rachedi, University Paris Est, France
3. Soumaya Cherkaoui, Professor at Sherbrooke University, Canada
4. Kok-Lim Alvin Yau, Sunway University, Malaysia

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)

Analysis and Synthesis of Large-scale Systems

Submission Deadline: 30 November 2016

IEEE Access invites manuscript submissions in the area of Analysis and Synthesis of Large-scale Systems.

The last few decades have witnessed the rapid growth of research and development on large-scale systems (LSSs) due to the increasing complexity and the growing demand of modern engineering systems. The LSSs can normally be viewed as interconnections of multiple subsystems. Many practical systems can be described by the LSSs such as power systems, multi-robot systems, communication networks, transportation networks, and supply chains. In such a large-scale system, the centralized control framework may become impossible for its implementation. The decentralized and distributed controls have emerged as the attractive control methodologies to handle the scale and interactions of large-scale complex systems. However, the interactions among different subsystems introduce many challenges in the analysis and synthesis of such systems. Therefore, it is of significance to address several fundamental problems regarding real-time analysis, estimation and control of these systems.

The primary objective of this Special Section in IEEE Access is to provide up-to-date discussions on technical trends and advanced methodologies in system analysis and control design of large-scale systems. Of particular interest the papers in this Special Section are devoted to the development of advanced communication technology used in LSSs, decentralized/distributed state estimation and control of LSSs, and their applications in industrial process systems. The contributions to this Special Section are expected to provide the latest results in advanced analysis, optimization, control and filtering and real applications for large-scale dynamical systems. Topics to be covered in this special issue include, but are not limited to:

  • Communication resource optimization in LSSs
  • New control algorithms for LSSs
  • Decentralized/distributed state estimation of LSSs
  • Decentralized/distributed control of LSSs
  • Scheduling and control co-design of LSSs
  • Cooperation control of networked LSSs and its industrial applications

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: Hamid Reza Karimi, Politecnico di Milano, Italy

Guest Editors:
1. Dan Zhang, Zhejiang University of Technology, People’s Republic of China
2. Hui Zhang, Shanghai Maritime University, People’s Republic of China
3. Fuwen Yang, Griffith University, Australia

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)

System-Level Design Automation Methods for Multi-Processor System-on-Chips

Submission Deadline: 15 May 2017

IEEE Access invites manuscript submissions in the area of System-Level Design Automation Methods for Multi-Processor System-on-Chips.

With the advent of new device technologies, the feature size of transistors decreases and the transistor count increases exponentially. This also leads to the explosive growth in computation power and functionalities available on a single chip. In recent years, System-on-Chips (SoCs), in which all the functionalities of a system are integrated in a chip, have entered to the multi-core era due to the increasing number of services provided by a system. However, this also increases the complexity of designing such chips which have grown at a very fast pace.

To reduce time-to-market of SoCs, Electronic Design Automation (EDA) tools have been utilized to enable efficient design space exploration, verification and simulation. However, with the advent of MPSoCs (Multi-Processor System-on-Chips), conventional EDA tools that utilize RTL (Register-Transfer Level) abstraction as the highest abstraction level have been shown not able to cope with the growth of the chip complexity of modern designs. Therefore, electronic system-level (ESL) design, which has abstraction level higher than RTL, has been proposed as the solution for minimizing the gap between chip complexity and design productivity in the multi-core, even many-core, era. System-level synthesis automatically implements the hardware and software systems of the target system based on the application models that represent the behavior of the application set running on the system. The hardware and software components considered by system-level synthesis are hardware modules like IP cores and memory modules and software kernel functions, which are coarser grained compared to RTL or gate-level synthesis. The synthesis results of system-level tools are then passed to lower level synthesis tools for further refinement. Therefore, the robustness and effectiveness of system-level synthesis technology is crucial to the design of an MPSoC.

To facilitate a good system-level design, the system-level synthesis tools should consider major design issues at the early design stage. For modern chip designs, the major design issues include power consumption, and thermal and variation problems. Moreover, several emerging technologies and novel architecture have been proposed for MPSoC designs, such as the 3D die-stacking technology that is enabled by Through Silicon Vias (TSVs), and Single-ISA (Instruction Set Architecture) heterogeneous multi-core architecture. These emerging technologies also have their own design issues should be addressed during chip design. Therefore, in addition to performance and cost issues, these issues should also be addressed at early design stage by the system-level synthesis tools to achieve a good whole system design.

System-level synthesis tools usually implement one or more of the following synthesis steps, resource allocation, resource binding or application mapping, and scheduling. Resource allocation decides which hardware modules, e.g. processing elements (PEs) and memory modules, should be allocated in the target system. Resource binding performs the mapping between tasks/data and processing/memory modules. A task indicates a kernel function of the application running in the system. When multiple tasks or data accesses may compete for the same resource, scheduling is performed to prioritize the tasks or data accesses executed on the resource. The aforementioned design issues can be considered alone with any of the synthesis steps.

Therefore, the purpose of this Special Section in IEEE Access is to call for papers related to research in novel system-level synthesis tool designs concerning issues related to emerging technologies and design issues.

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: Sun-Yuan Hsieh, National Cheng Kung University, Taiwan

Guest Editors:
1. Sudip Roy, Indian Institute of Technology (IIT), India
2. Jen-Wei Hsieh, National Taiwan University of Science and Technology, Taiwan
3. Jishen Zhao, University of California, Santa Cruz, USA
4. Ing-Chao Lin, National Cheng Kung University, Taiwan
5. Da-Wei Chang, National Cheng Kung University, Taiwan
6. Pi-Cheng Hsiu, Research Center for Information Technology Innovation (CITI), Taiwan

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)

Socially Enabled Networking and Computing

Submission Deadline: 31 December 2016

IEEE Access invites manuscript submissions in the area of Socially Enabled Networking and Computing.

In recent years, mobile social networks, i.e. the networks of individuals with similar interests connected to each other through their mobile devices, is emerging as a source of information to achieve high efficiency communication and networking with better performance on key metrics such as lower delay, better coverage and higher data rate. The reason is that mobile devices are now powerful enough to form cooperative groups, assisting each other by sharing communication and computation resources. In such a scenario, critical technical problems should be solved to realize the potential benefits, i.e., how to efficiently utilize the computing and communication capabilities among these smart devices and how to facilitate mobile computing for human-computer interaction by which a computer is expected to be mobile in the network during normal usage? In addition to these technical challenges, another major problem is how to understand human behaviors and further utilize them in the mobile social networks to facilitate the benefits of considering human’s social relations and behaviors in mobile computing, communication and networking.

The focus of this Special Section in IEEE Access is the emerging topics of mobile social networks and corresponding applications with emphasis on networking and computing. We solicit and publish original research papers on the models, algorithms, technologies, and methodologies. Topics of interest include, but are not limited to:

  • Modelling of social behaviors and interactions toward efficient networking and/or computing
  • Economy for social-aware networking and computing
  • Socially enabled resource allocation in wireless networks
  • Game theoretic formulation for networking and/or computing of interacting entities
  • Socially-enhanced wireless networking technologies such as device-to-device (D2D) communications, Internet of Things (IoT), vehicular networks, LTE-U, and network virtualization
  • Socially enabled mobile computing frameworks, algorithms and experiments
  • Mobile cloud computing assisted by socially enabled techniques, such as offloading and caching
  • Social-aware content sharing and distributed storage in mobile communications
  • Privacy, trust and security for socially enabled networking and computing
  • Mobile social networking systems and prototypes

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: Li Wang, Beijing University of Posts and Telecommunications, China

Guest Editors:
1. Giuseppe Araniti, University Mediterranea of Reggio Calabria, Italy
2. Yong Li, Tsinghua University, China
3. Tommy Svensson, Chalmers University of Technology, Sweden
4. Zhu Han, University of Houston, USA

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)

Communication, Control and Computation Issues in Heterogeneous Vehicular Networks

Submission Deadline: 1 April 2017

IEEE Access invites manuscript submissions in the area of Communication, Control and Computation Issues in Heterogeneous Vehicular Networks.

The automotive industry has recently shifted from developing advanced vehicles to concentrating on safety and comfort; which stimulates the development of new intelligent vehicles with advanced driver assistance systems and even autonomous driving. However, the current technology development is still far from the practical requirements of autonomous driving. This is because the existing control approaches are mainly based on expensive sensors and cameras employed in the vehicle that hinder the development and popularization of intelligent vehicles. Thanks to wireless communication networks, vehicles can be connected and communicate to each other. Thus, the control of vehicles will become more reliable and cost-efficient with the communication between vehicles. Therefore, cooperatively controlling vehicles by employing reliable communications has become one of key research issues in the Fifth Generation (5G) wireless communication networks.

Due to the high mobility of vehicles and the dynamic change of the network topology, it is difficult to provide satisfied services only through a single wireless access network, such as the Dedicated Short Range Communication (DSRC) or the Long Term Evolution (LTE) networks. Hence, to provide ubiquitous networks, Heterogeneous Vehicular Networks may well support the communication, control and computation requirements of intelligent vehicles. However it faces multiple critical challenges in designing efficient and flexible resource allocation algorithms since this requires the joint design and optimization of both communication, computing and control theory. This will play a very important role in the development of next generation intelligent vehicular networks.

The goal of this Special Section in IEEE Access is to provide the most recent research and developments on the enabling technologies for heterogeneous vehicular networks and to stimulate discussions on state-of-the-art and innovative aspects in the field. This Special Section focuses on advanced communication and control techniques for intelligent vehicles. Original research and review articles are encouraged. Topics of interests include (but are not limited to):

  • Heterogeneous vehicular network architectures and services
  • Performance evaluation of radio technologies in heterogeneous vehicular networks
  • Control protocol design in heterogeneous vehicular networks
  • Autonomous driving control technologies in heterogeneous vehicular networks
  • Resource allocation and control in heterogeneous vehicular networks
  • Vehicle social networks in heterogeneous vehicular networks
  • Mobile cloud computing in heterogeneous vehicular networks
  • Software-Defined Networking(SDN) for supporting reliable control
  • Network Function Virtualization (NFV) in heterogeneous vehicular networks
  • Efficient Big Data analysis in heterogeneous vehicular networks
  • Mobile sensing networking in heterogeneous vehicular networks
  • Dynamic spectrum access technologies in heterogeneous vehicular networks
  • Urban sensing for environment monitoring in heterogeneous vehicular networks
  • Security, privacy and trust in heterogeneous vehicular networks
  • Testbed platform and field trials in heterogeneous vehicular networks

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: Kan Zheng, Beijing University of Posts and Telecommunications, China

Guest Editors:
1. Yonghui Li, University of Sydney, Australia
2. Xianbin Wang, Western University, Canada
3. Periklis Chatzimisios, Alexander TEI of Thessaloniki, Greece

 

IEEE Access Editor in Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)

Emotion-aware Mobile Computing

Submission Deadline: 30 November 2016

IEEE Access invites manuscript submissions in the area of Emotion-aware Mobile Computing.

With the rapid development of smart phones and wireless technology, mobile services and applications in the world are growing rapidly. The advanced mobile computing and communications greatly enhance the user’s experience by the notion of “carrying small while enjoying large”, which have brought a huge impact to all aspects of people’s lifestyles in terms of work, social, and economy. Despite the advanced techniques that have extensively improved user’s quality of experience (QoE), it is not adequate to provide affective services without efficient mechanisms of emotion-aware mobile computing, which includes various unique aspects, e.g., mobile data sensing and transmissions; sentiment analysis and emotion recognition; affective interaction. Under the new service paradigm, novel mobile services and innovative applications need to be extensively investigated to gain the great potentials brought by emotion-aware mobile computing.

The progress in this area will be made by applying and extending well-founded formal models and techniques from multiple domains of computer science, such as affective computing, mobile computing, human-computer interactions, etc. Therefore, this special issue aims to theme innovative research achievements in the field of related techniques, applications, services, architectures and systems for emotion-aware mobile computing.

This Special Section in IEEE Access will bring together academic and industrial researchers to identify and discuss technical challenges and recent results related to emotion-aware mobile computing. To meet the requirements of emotion-aware mobile computing, more comprehensive data sensing, more efficient data transmission, more effective data mining, affective computing and machine learning, more humanized interaction, new concepts and design approaches are in great need. This Special Section will discuss how to improve mobile user’s QoE through emotion-aware mobile computing.

In this Special Section, we are particularly interested in high quality contributions and innovations in the interdisciplinary area of mobile computing technologies, systems, and services. We are especially interested in emotion-aware mobile computing and innovative applications but not limited to the topics of interest listed below:

  • Pervasive and Mobile Interactive Services
  • Wearable Computing, Mobile Cloud Computing for Emotion-aware Service
  • Human-centric Emotion Recognition based on Mobile Big Data
  • Multimodal Mobile Data Fusion for Emotion Recognition
  • Pervasive Emotion Recognition and Regulation Environments
  • Context-aware, Emotion-aware, Location-based and Other Novel Mobile Services
  • Innovative Applications of Emotion-aware Mobile Computing
  • Tools and System Design Issues for Developing Affective and Proactive Interfaces
  • Emotion in Robot and Virtual Agent Cognition and Action
  • Memory, Reasoning, and Learning in Affective Conversational Agents

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: Yin Zhang, Zhongnan University of Economics and Law, China

Guest Editors:
1. Giancarlo Fortino, University of Calabria, Italy
2. Honggang Wang, University of Massachusetts Dartmouth, USA
3. Wei Wang, San Diego State University, USA

 

IEEE Access Editor in Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)

Healthcare Big Data

Submission Deadline: 1 October 2016

IEEE Access invites manuscript submissions in the area of Healthcare Big Data.

Healthcare data is rapidly growing with the large volume and multi-dimensional data generation from cyber, physical, and social space. Heterogeneous healthcare data in various forms, such as images, text, video, raw sensor data, etc., are required to be effectively stored, processed, queried, indexed and analyzed. These datasets differ widely in their volume, variety, velocity and value, including patient-oriented data such as electronic medical records (EMR), public-oriented data such as public health data, and knowledge-oriented data such as drug-to-drug, drug-to-disease, disease to disease interaction registries. The healthcare big data brings great challenges while also playing an important role in healthcare transformation. The traditional techniques do not compromise end-users’ Quality of Service (QoS) in terms of data availability, data response delay, etc. It is vital to develop wireless big data communication systems, machine learning techniques and software tools for supporting fast data query, data analytics, and data visualization which can provide high Quality of Experience (QoE) for users.

The progress in this area can be made by applying and extending well-founded formal models and techniques from multiple domains of computer science, such as cloud computing, data mining, machine learning, etc. Unfortunately, current healthcare information systems still lack the successful implementation of big data solutions. This Special Section aims to theme innovative research achievements in the field of big data related techniques and applications for healthcare.

This Special Section in IEEE Access will bring together academic and industrial researchers to identify and discuss technical challenges and recent results related to healthcare big data. To meet the requirements of healthcare big data, more comprehensive reporting, more efficient monitoring, more effective and professional domain data mining, more advanced medical evaluation, simulation and prediction, new concepts and design approaches are in great need. The big-data revolution is in its early days, and most of the potential for value creation is still unclaimed. But for big-data initiatives to succeed, the healthcare system must undergo some fundamental changes. This Special Section will discuss the analytical capabilities that will be required to capture big data’s full potential, ranging from reporting and monitoring activities that are already occurring to predictive modeling and simulation techniques that have not yet been used at scale and aims to present the latest advances of the fundamental technologies and market trends that will impact the development of healthcare big data.

Topics of interests include, but are not limited to:

  • Data Models and Architectures for healthcare
  • Healthcare Data Integration and Information Fusion
  • Benchmarking of big data infrastructure in healthcare
  • Novel algorithms and applications dealing with healthcare data
  • Data science and modeling for health analytics
  • Advances in storage models for healthcare data variety
  • Detection and diagnosis assisted by big data
  • Visualization tools and systems for healthcare applications
  • QoS optimization techniques for big data healthcare applications
  • Healthcare big data applications via 5G tactile internet
  • Techniques for preserving security and privacy of healthcare information

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: Min Chen, Huazhong University of Science & Technology, China

Guest Editors:
1. Haiyang Wang, University of Minnesota Duluth, USA
2. Iztok Humar, University of Ljubljana, Slovenia
3. Yin Zhang, Zhongnan University of Economics and Law, China
4. Jiafu Wan, South China University of Technology, China

 

IEEE Access Editor in Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)

Innovations in Electrical and Computer Engineering Education

Submission Deadline: 30 October 2016

IEEE Access invites manuscript submissions in the area of Innovations in Electrical and Computer Engineering (ECE) Education.

The past two decades have seen significant advances in learning-related technologies, with the attendant recognition (and expectation) of their impact on the higher education system. Many new teaching methods can now be employed and their efficacy and scalability studied. In parallel, the demand for ECE education continues to grow world-wide, as an increasing world population seeks educational opportunities. There is now a growing acknowledgement that technical education must be complemented with skills for professional success such as design, leadership, communication, understanding historical and contemporary social contexts, lifelong learning, creativity, entrepreneurship, and teamwork. It is also widely accepted that solving today’s major challenges requires a multidisciplinary approach. The time is ripe for large-scale experimentation and adoption of possibly revolutionary changes in ECE education.

The purpose of this Special Section in IEEE Access is to present the latest advances in ECE Education, in the context of the above observations. Topics of interest include, but are not limited to, the following:

  • New curricula
  • New teaching methodologies
  • New instructional technologies
  • New delivery modes, including distance-learning
  • Large-scale personalized education

Submissions will be evaluated on the ongoing and future impact on ECE education. We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: Zhihua Qu, University of Central Florida, Orlando, Florida, USA

Guest Editors:
1. Venkataramanan Balakrishnan, Purdue University, Indiana, USA
2. Bonnie Ferri, Georgia Institute of Technology, Atlanta, Georgia, USA
3. Marwan Simaan, University of Central Florida, Orlando, Florida, USA

 

IEEE Access Editor in Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)

Recent Advances on Modelling, Optimization and Signal Processing Methods in Vehicle Dynamics and Crash-worthiness

Submission Deadline: 31 December 2016

IEEE Access invites manuscript submissions in the area of Recent Advances on Modelling, Optimization and Signal Processing Methods in Vehicle Dynamics and Crash-worthiness.

Due to the large growth in transport industries, the importance of interactions between vehicle technology and human from the safety aspect plays an important role in the new developments of complex vehicle systems. Therefore, from academia and industrial point of views, more attention has been paid on complex vehicle correlative technologies with fully consideration of issues like safety, robust performance, impact analysis, optimization, automation, motion control, etc. All aforementioned issues provide a basis for the design and operation of practical vehicle systems in order to achieve desired complex tasks.

The primary objective of this Special Section in IEEE Access is to provide a forum for researchers and practitioners to exchange their latest achievements and to identify critical issues and challenges for future investigation on mathematical-based or computer-aided modelling, optimization and signal processing techniques in vehicle dynamics and crash-worthiness. Based on this focus the special issue would be of interest for readers in terms of having a good summary over the field of vehicle dynamics and crash-worthiness in this special section.

The articles to be published in this Special Section in IEEE Access are expected to provide the latest results in advanced modelling, optimization, signal processing, control approaches and software developments for vehicle dynamics analysis at various vehicle crash scenarios, for instance vehicle to vehicle or vehicle to rigid barriers, to enhance safety in road transportations. Topics include, but are not limited to, the following research areas:

  • Mathematical modelling of vehicle crash dynamics
  • Data-based modelling for vehicle crash
  • Optimization of vehicle crash models based on sensor data
  • Signal processing advances related to vehicle crash dynamics
  • Computer-aided analysis for safety and crash assessments
  • Structural response analysis in crash mode
  • Intelligent solutions for vehicle crash
  • New developments in vehicle crash test apparatuses
  • Recent developments on impact analysis for vehicle systems
  • Advanced control and driving assistance system assessment

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: Hamid Reza Karimi, Politecnico di Milano, Italy

Guest Editors:
1. Dario Vangi, Università degli Studi di Firenze, Italy
2. Hermann Steffan, Technische Universitaet Graz, Austria
3. Junmin Wang, The Ohio State University, USA
4. Kalyana Veluvolu, Kyungpook National University, South Korea

 

IEEE Access Editor in Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)