Soft Computing Techniques for Image Analysis in the Medical Industry – Current trends, Challenges and Solutions

Submission Deadline: 10 December 2017

IEEE Access invites manuscript submissions in the area of Soft Computing Techniques for Image Analysis in the Medical Industry – Current trends, Challenges and Solutions.

Medical image analysis is one of the challenging tasks in current scenario. Image analysis is one of the higher level processing techniques in the hierarchy of imaging applications. Image analysis includes concepts such as image cognition, classification, segmentation, etc. The situation is extremely complex since each concept is interlinked with other concepts. Soft computing techniques are one of the widely used computational approaches in complex situations such as medical image analysis. However, there are many hidden issues associated with these soft computing approaches for solving the real-time problems in medical image analysis. The problems are in the form of computational complexity, classification efficiency, practical feasibility, etc. This Special Section in IEEE Access specifically focuses on providing solutions to the existing problems in soft computing techniques for medical image analysis. This Special Section is multi-disciplinary and welcomes researchers from the areas of “artificial intelligence” and “image processing” who can develop innovative systems for solving the problems in medical imaging applications. Any topics related with soft computing and medical image processing are welcome to submitting their articles to this Special Section.

The topics of interest include, but are not limited to:

A) Methodologies:

  • Artificial Neural Networks
  • Fuzzy logic theory
  • Evolutionary Computation
  • Deep learning
  • Rough sets/Chaotic systems
  • Artificial Life
  • Artificial Immune Systems
  • Optimization techniques
  • Any other soft computing technique

B) Applications:

  • Medical image registration/fusion
  • Noise removal in medical images
  • Bio-mechanical data analysis
  • Medical image classification/segmentation
  • Medical image compression
  • Data analysis for biomedical instrumentation
  • Data mining in medical scenario
  • Telemedicine
  • Medical informatics
  • Any other medical image/industry applications

Manuscripts are expected to cover at least one topic from A and one topic from B

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Associate Editor: D. Jude Hemanth, Karunya University, India

Guest Editors:

  1. Lipo Wang, Nanyang Technological University, Singapore
  2. João Manuel R. S. Tavares, Faculdade de Engenharia da Universidade do Porto, Portugal
  3. Fuqian Shi, College of Information and Engineering, Wenzhou Medical University, China
  4. Vania Viera Estrela, Universidade Federal Fluminense, Brazil

 

Relevant IEEE Access Special Sections:

  1. Health Informatics for the Developing World
  2. Intelligent Systems for the Internet of Things
  3. Advanced Data Analytics for Large-Scale Complex Data Environments

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: judehemanth@karunya.edu

Cyber-Physical-Social Computing and Networking

Submission Deadline: 31 December 2017

IEEE Access invites manuscript submissions in the area of Cyber-Physical-Social Computing and Networking.

Recently, due to the rapid proliferation of sensors and intelligent devices, a new revolution in computing and communication has been witnessed. The next generation of computing and networking will utilize a wide variety of resources with significant sensing capabilities. Such computing and networking will extend beyond physically linked computers to include multimodal information from biological, cognitive, semantic, and social networks. This paradigm shift will involve symbiotic networks of human (social networks), intelligent devices, and mobile portable devices (e.g., smart phones, PDAs, iPads), that will form Cyber-Physical-Social Computing and Networking (CPSCN). These devices and the network will be constantly sensing, monitoring, and interpreting the environment, which is referred to as the Internet of Things (IoT). The symbiosis of IoT and social networks will have significant implications for both the market for advanced computing and communication infrastructure and future markets – for approximately 5 billion people — that CPSCN will create.

Many researchers have paid much attention to CPSCN since it still faces many challenges (e.g., architecture, security, privacy, incentive mechanism, etc.). This Special Section in IEEE Access is inviting researchers who are working on related research areas to contribute high quality articles to present the most recent advances on emerging technologies in CPSCN, applications, architectures, and big data challenges. Both original practical work and review articles are welcome.

The topics of interest include, but are not limited to:

  • Architectural, modeling and simulation of CPSCN
  • Incentives mechanism design for CPSCN
  • Routing protocol, data dissemination and offloading algorithms design for CPSCN
  • Security, privacy and trust for CPSCN
  • Community detection and network evolution analysis for CPSCN
  • Mobile social sensing for CPSCN
  • Social network analysis and social influence analysis for CPSCN
  • Big Data mining and analytics for CPSCN
  • Cloud computing and fog computing for CPSCN
  • Machine learning models and methods for CPSCN
  • Smart worlds, smart cities and smart medicines for CPSCN
  • Green computing and sustainable computing for CPSCN
  • Resource and service management, scheduling, and migration for CPSCN
  • New applications on CPSCN

 

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

 

Associate Editor: Laurence T. Yang, St. Francis Xavier University, Canada

Guest Editors:

  1. Huan Zhou, China Three Gorges University, China
  2. Qingchen Zhang, St. Francis Xavier University, Canada
  3. Chunsheng Zhu, University of British Columbia, Canada
  4. Houcine Hassan, Universitat Politècnica de València, Spain
  5. Vincenzo Piuri, Universita’ degli Studi di Milano, Italy
  6. Victor C. M. Leung, University of British Columbia, Canada

 

Relevant IEEE Access Special Sections:

  1. The Plethora of Research in Internet of Things (IoT)
  2. Recent Advances in Socially-aware Mobile Networking
  3. Industrial Sensor Networks with Advances Data Management: Design and Security

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: ltyang@gmail.com

Recent Computational Methods in Knowledge Engineering and Intelligence Computation

Submission Deadline: 15 December 2017

IEEE Access invites manuscript submissions in the area of Recent Computational Methods in Knowledge Engineering and Intelligence Computation.

The computational methods in the field of knowledge engineering and intelligence computation have been developed and broadened over the years. Knowledge engineering serves as a transfer to process knowledge source to the expert system, which involves all scientific and social aspects. Especially, featured by its multidisciplinary, knowledge engineering fuses theories and methods from expert systems, information systems, artificial intelligence, etc. Additionally, intelligence computation research has become a vital part in the research of various fields like mathematics, physics, aerospace, biochemistry, stock-market, electronic devices and other domains. Recently, Knowledge-based Computing organizes an emerging area of intensive research located at the intersection of intelligence computation and knowledge engineering. It includes computational methods coming from different computational paradigms, such as evolutionary computation and nature-inspired algorithms, logic programming and constraint programming, fuzzy sets and many others. With this perspective, this Special Section in IEEE Access has been put together to bring the cutting-edge research in all aspects of knowledge engineering and intelligence computation including experimental and theoretical research, applied techniques and real-world applications to the entire society to promote research, sharing, and development.

The topics of interest include, but are not limited to:

  • Computational intelligence in cloud based computing
  • Computational Methods in knowledge engineering
  • Evolutionary Computation
  • Hybrid Learning, Machine Learning Applications
  • Deep learning and applications
  • Bioinformatics, and computational biology
  • Heuristic optimization techniques
  • Markov chain Monte Carlo (MCMC) methods
  • Knowledge acquisition and discovery techniques

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Associate Editor: Xiangtao Li, Northeast Normal University, China

Guest Editors:

  1. Zhiqiang Ma, Northeast Normal University, China
  2. Yanmei Hu, Chengdu University of Technology, China
  3. Jian Zhang, Xinyang Normal University, China
  4. Dong Xu, University of Missouri, USA
  5. William Guo, Central Queensland University, Australia
  6. Handing Wang, University of Surrey, UK

 

Relevant IEEE Access Special Sections:

  1. Big Data Analytics in Internet-of-Things and Cyber-Physical System
  2. Complex System Health Management Based on Condition Monitoring and Test Data
  3. Advanced Data Analytics for Large-scale Complex Data Environments

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: lixt314@nenu.edu.cn

High Mobility 5G LTE-V: Challenges and Solutions

Submission Deadline: 1 December 2017

IEEE Access invites manuscript submissions in the area of High Mobility 5G LTE-V: Challenges and Solutions.

The Internet of Vehicles, previously referred to as Vehicular Ad Hoc Networks (VANETs), will be collections of mobile ad hoc networks for vehicular communications to improve driving safety and traffic efficiency. Major categories include vehicle-to-vehicle (V2V) communications and vehicle-to-infrastructure (V2I) communications, and collectively these (and future categories) can be termed V2X communications. These two categories entail a variety of communication channels, network topologies, vehicle densities and communication scenarios, and in response to this, IEEE has released the IEEE 802.11p and IEEE 1609 protocols for VANETs. With the global commercial application of Long Term Evolution (LTE) mobile communication systems, LTE based vehicular (LTE-V) networks have been shown to offer advantages in V2I communications, coverage, high mobility and complicated communication scenarios. Therefore, in the 5th generation’s (5G) mobile communication networks, the 3GPP is discussing V2V communications as a device-to-device (D2D) communication application. As is well known, in high mobility scenarios, the wireless channel is rapidly time varying, Doppler shifts and spreads can be much larger than in cellular, network topology can change quickly, and switching among base stations and vehicles is more frequent. All this presents formidable challenges to realizing reliable communications with low latency in 5G LTE-V systems. This Special Section in IEEE Access will focus on the challenges and solutions for the 5G LTE-V, with topics including but not limited to:

  • High mobility V2X channel measurement and modeling
  • High mobility V2X channel estimation
  • High mobility V2X channel equalization
  • High mobility channel frequency offset compensation
  • Joint time-frequency correction for high mobility V2X channel
  • LTE-V physical (PHY) and medium access control (MAC) layer enhancements to cope with high mobility V2X channels
  • Interference management for 5G LTE-V and VANETs
  • Resource allocation based on channel state information
  • Cross layer design based on dynamic congestion control
  • Mobility management for V2X applications
  • Heterogeneous networks of 5G LTE-V and other VANETs
  • Nonorthogonal multiple access for LTE-V

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

 

Associate Editor: Wen Chen, Shanghai Jiao Tong University, China

Guest Editors:

  1. Ruisi He, Beijing Jiao Tong University, China
  2. David W. Matolak, University of South Carolina, USA
  3. Chintha Tellambura, University of Alberta, Canada
  4. Zhengguo Sheng, University of Sussex, UK

 

Relevant IEEE Access Special Sections:

  1. Communication, Control and Computation Issues in Heterogeneous Vehicular Networks
  2. Resource Management in Vehicular Ad-Hoc Networks: Energy Management, Communication Protocol and Future Applications
  3. Recent Advances on Modelling, Optimization and Signal Processing Methods in Vehicle Dynamics and Crash-worthiness

 

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: wenchen@sjtu.edu.cn

Research Challenges and Opportunities in Security and Privacy of Blockchain Technologies

Submission Deadline: 30 November 2017

IEEE Access invites manuscript submissions in the area of Research Challenges and Opportunities in Security and Privacy of Blockchain Technologies.

Blockchain is an increasingly popular networking technology for streamlining business processes, which uses a peer-to-peer (P2P) network. In other words, no central authority (e.g. traditional financial institution) is required to conduct a transaction. Due to the decentralized nature, blockchain allows one to undertake and verify transactions in real-time. In recent times, many applications based on the blockchain technology have been proposed. One such popular real-world example application is Bitcoin. However, there are underlying security and privacy issues. For example, once a public key has been linked with an individual’s identity, one could browse previous transactions on the blockchain and view all transactions associated with the particular public key. One key research challenge is how to balance security and privacy of an individual with accountability. For example, how can we allow the tracing of illegal activities or users (e.g. money laundering and cybercrime) without breaking the decentralization property of the system?

This Special Section in IEEE Access solicits state-of-the-art technical research results and survey on secure and privacy-preserving blockchain technology, as well as novel applications providing security and privacy-preserving features/functionalities in the blockchain technology.

  • Access Control and Blockchain Security
  • Anonymity
  • Applications of Blockchain Technologies (e.g. Critical Infrastructures)
  • Blockchain Technology Forensics (and Anti-Forensics)
  • Cryptanalysis
  • Data Confidentiality
  • Data Mining Security
  • Economic Aspects of Blockchain Technologies
  • Implementation of Secure Application System
  • Privacy Preserving
  • Security Modelling and Threat

 

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

 

Associate Editor: Kim-Kwang Raymond Choo, The University of Texas at San Antonio, USA

Guest Editors:

  1. Debiao He, Wuhan University, China
  2. Neeraj Kumar, Thapar University, India
  3. Aniello Castiglione, University of Salerno, Italy

 

Relevant IEEE Access Special Sections:

  1. The Internet of Energy: Architectures, Cyber Security, and Applications (Part II)
  2. Privacy Preservation for Large-Scale User Data in Social Networks
  3. Mobile Edge Computing

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: raymond.choo@fulbrightmail.org

Sequential Data Modeling and Its Emerging Applications

Submission Deadline: 15 December 2017

IEEE Access invites manuscript submissions in the area of Sequential Data Modeling and Its Emerging Applications.

With the tremendous advance of technologies in data collection and storage, sequential data is becoming more and more ubiquitous in a wide spectrum of application scenarios. There are various embodiments of sequential data such as time series/video frames and event data, where the former is synchronous over time and the latter is often generated in an asynchronous fashion. It bears important practical utility for learning and understanding the dynamic behavior as well as the causality relationships across sequences, and it also calls for robust models to handle with noisy and incomplete sequence data in real-world settings.

The objective of this Special Section in IEEE Access is to bring together the state-of-the-art research contributions that address key aspects of sequential data modeling and their novel applications, such as sequence learning for clinical trials in healthcare, failure tickets in device maintenance, transactions in e-commerce, which will help identify the fundamental methodology and key technology for cross-discipline research and applications. All submitted articles will be peer-reviewed and selected on the basis of their quality and relevance to the theme of this Special Section.

The topics of interest include, but are not limited to:

  • Event data analysis theory and algorithms
  • Sequential data processing system and database
  • Sequential data modeling with deep learning
  • Sequential data modeling with reinforcement learning
  • Sequential data modeling with point process model
  • Sequential data modeling for time series
  • Sequential data modeling for bioinformatics
  • Sequential data modeling for multimedia and visual computing
  • Sequential data modeling for healthcare
  • Sequential data modeling for industry and reliability
  • Sequential data modeling for smart city
  • Sequential data modeling for environmental sustainability
  • Sequential data modeling for web and social network
  • Sequential data modeling for personalization and behavioral study
  • New emerging 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: Junchi Yan, IBM Research, China

Guest Editors:

  1. Xiaoyong Pan, Erasmus MC, Rotterdam, Netherlands
  2. Liangda Li, Yahoo Research, USA
  3. Changsheng Li, Alibaba Group, China
  4. Peng Cui, Tsinghua University, China
  5. Chao Ma, University of Adelaide, Australia

 

Relevant IEEE Access Special Sections:

  1. Big Data Analytics in Internet of Things and Cyber-Physical Systems
  2. Complex System Health Management Based on Condition Monitoring and Test Data
  3. Intelligent Systems for the Internet of Things

 

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: yanesta13@163.com

Data-Driven Monitoring, Fault Diagnosis and Control of Cyber-Physical Systems

Submission Deadline: 4 December 2017

IEEE Access invites manuscript submissions in the area of Data-Driven Monitoring, Fault Diagnosis and Control of Cyber-Physical Systems.

A cyber-physical system (CPS) is a system with intense interaction of entities in the physical world and the abstract information. Such systems commonly exist in both industrial manufacturing and people’s daily lives. As a central investigation topic in Industrial 4.0, the concept of CPS raises vast interests in the academic world as well as in the industrial realm. From the viewpoint of CPS, a bridge is built between the virtual and the real domains, where the strategies of analysis, monitoring, fault diagnosis, control and optimization should be further investigated in a higher systematic level. Typical examples of CPSs include smart grid, autonomous vehicles, process control systems, and industrial robotics systems. The traditional techniques are mainly focused on either the physical object or the abstract data model individually. A simultaneous consideration of both domains is likely to reveal the properties.

Presently, conventional methods of fault diagnosis and control require analytical system models, which are established based on either the physical constraints (first principles) or identification techniques. The feasibility and complexity of these approaches vary significantly among specific applications and the monitoring performance relies heavily on the model precision. On the other hand, data-driven approaches provide a potential solution to large-scale complex systems with better reliability. The motivation of the big data-driven practical solutions originates from the rapid development of digitalized sensors, storage techniques and other information infrastructure, which provide colossal but redundant system information. Consequently, the greatest problem is to design universally feasible solutions to ascertain CPS behavior and to perform fault diagnosis and control design based on the characteristics extracted from the databases and the real-time measurements.

This Special Section in IEEE Access aims to provide a platform for the researchers and participants from both the academic community and industrial sectors to report their recent research and application progress in the field of data-driven CPS monitoring, fault diagnosis and control design.

The topics of interest include, but are not limited to:

  • New data-driven CPS model description and modelling techniques
  • Robust data-driven optimization algorithms for CPSs
  • Unified framework for CPS formulation and analysis
  • Advanced approaches for CPS monitoring
  • Data-Driven CPS fault detection, isolation and diagnosis methods
  • CPS-oriented fault-tolerant control
  • CPS-oriented robust control
  • Data-driven artificial intelligence approaches applied in CPS
  • Challenges and techniques for potential industrial and domestic 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: Shen Yin, Harbin Institute of Technology, China

Guest Editors:

  1. Okyay Kaynak, Bogazici University , Turkey
  2. Hamid Reza Karimi, Politecnico di Milano, Italy

 

Relevant IEEE Access Special Sections:

  1. Industry 4.0
  2. Big Data Analytics in Internet of Things and Cyber-Physical Systems
  3. Healthcare Big Data

 

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: shen.yin@hit.edu.cn

Non-Orthogonal Multiple Access for 5G Systems

Submission Deadline: 15 October 2017

IEEE Access invites manuscript submissions in the area of Non-Orthogonal Multiple Access for 5G Systems.

Non-orthogonal multiple access (NOMA) has been recently recognized as a promising multiple access (MA) technique to significantly improve the spectral efficiency of mobile communication networks. For example, multiuser superposition transmission (MUST), a downlink version of NOMA, has been proposed for 3rd generation partnership project long-term evolution advanced (3GPP-LTE-A) networks. Furthermore, the use of NOMA has also been envisioned as a key component in 5th generation (5G) mobile systems. In addition to its application to cellular networks, NOMA has been demonstrated to be applicable to many other wireless networks. For example, NOMA has also been applied to TV broadcasting. A new form of NOMA, termed layered division multiplexing (LDM), has been proposed to the next-generation digital TV standard (ATSC 3.0).

The key idea of NOMA is to encourage spectrum sharing, which is similar to the concept of cognitive radio networks. Take power domain NOMA as an example, where the power domain is used for multiple access. This is fundamentally different from the previous generations of mobile networks which have been relying on the time/frequency/code domain. The main issue with conventional orthogonal frequency-division multiple access (OFDMA) used by 3GPP-LTE using the orthogonal multiple access (OMA) technique is that its spectral efficiency is low when some bandwidth resources, such as subcarrier channels, are allocated to users with poor channel conditions. On the other hand, the use of NOMA enables each user to have access to all the subcarrier channels, and hence the bandwidth resources allocated to the users with poor channel conditions can still be accessed by users with strong channel conditions, which significantly improves the spectral efficiency. Furthermore, compared to conventional opportunistic user scheduling which only serves the users with strong channel conditions, NOMA strikes a good balance between system throughput and user fairness. In other words, NOMA can serve users with different channel conditions in a timely manner, which provides the possibility to meet the demanding 5G requirements of ultra-low latency and ultra-high connectivity.

It is worth mentioning that NOMA has been demonstrated to be compatible with many 5G techniques. For example, massive multiple-input multiple-output (MIMO) and NOMA can be naturally combined, where the spatial degrees of freedom offered by massive MIMO can be used to further improve the performance of NOMA. Recently, NOMA has also been applied to millimeter-wave (mmWave) communication networks, where the highly directional feature of mmWave propagation has been used to facilitate the implementation of NOMA. This Special Section in IEEE Access will provide a forum for the latest research and innovations in NOMA technologies as well as their applications, and will bridge the gap between theory and practice in the design of 5G multiple access. Prospective authors are invited to submit original manuscripts on topics including, but not limited to:

  • Information theoretic perspective of NOMA
  • New forms of NOMA
  • Hybrid NOMA and multi-carrier NOMA
  • Channel coding and modulation for NOMA
  • Nonlinear precoding for NOMA
  • Transceiver design in NOMA systems
  • MIMO techniques for NOMA
  • Resource allocation for NOMA
  • Energy-efficient NOMA
  • Millimeter-wave NOMA
  • Cognitive networking with NOMA
  • Security provisioning in NOMA
  • Cross-layer design and optimization for NOMA
  • Emerging applications of NOMA
  • Integration of NOMA with other 5G key technologies
  • Practical implementations of NOMA

 

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

 

Associate Editor: Daniel Benevides da Costa, Federal University of Ceará, Brazil

Guest Editors:

  1. Trung Q. Duong, Queen’s University Belfast, UK
  2. Zhiguo Ding, Lancaster University, UK
  3. Hui-Ming Wang, Xi’an Jiaotong University, China
  4. Kamel Tourki, Huawei France Research Center, France
  5. Naofal Al-Dhahir, University of Texas at Dallas, USA

 

Relevant IEEE Access Special Sections:

  1. Wireless Caching Technique for 5G
  2. Deployment and Management of Small Heterogeneous Cells for 5G
  3. Physical and Medium Access Control Layer Advances in 5G Wireless Networks

 

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: specialsections@ieee.org

Analysis and Synthesis of Time-delay Systems

Submission Deadline: 18 September 2017

IEEE Access invites manuscript submissions in the area of Analysis and Synthesis of Time-delay Systems.

Time-delay, which often represents a source of instability and oscillation. is unavoidable in many practical systems such as networked control systems, communication networks, manufacturing and biology. Moreover, the appearance of delay can have a stabilizing effect and delayed feedback control can be used to stabilize some unstable systems. Due to its theoretical and practical importance, increasing attention has been focused on the analysis and synthesis of time-delay systems and various new approaches have been proposed to reduce their conservatism. The aim of reducing the conservatism of delay-dependent stability criteria is to establish new stability criteria to provide a maximal allowable delay as large as possible. Among different techniques, the reduced conservatism is mainly obtained by constructing an improved Lyapunov functional and employing a tighter bound on some weighted cross products. A great number of effective methods have been provided such as delay partitioning method, convex combination method and Wirtinger-based inequality. However, how to further reduce the conservatism and how to apply the obtained theoretical results to practical systems are challenging and hot topics.

Many practical engineering systems can be modeled by time-delay systems. Various analysis and synthesis problems of time-delay systems are challenging and fascinating tasks in modern systems and control theory as well as in academic and industrial applications. The purpose of this Special Section in IEEE Access is to highlight recent significant developments on various analysis and synthesis of time-delay systems and new approaches in mathematical modeling real-world time-delay systems.

The topics of interest include, but are not limited to:

  • Stability and stabilization criteria
  • State estimation and filtering
  • Reachable set estimation and synthesis
  • Sampled-data control and self/event-triggered control
  • Reliability/dissipativity and corresponding feedback control
  • Fault diagnosis, fault isolation and fault tolerant control
  • Applications in different mechanical systems, communication networks and industries

 

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

 

Associate Editor:  Zhiguang Feng, Victoria University, Australia

Guest Editors:

  1. Zhengguang Wu, Zhejiang University, China
  2. Baoyong Zhang, Nanjing University of Science and Technology, China
  3. Kun Liu, Beijing Institute of Technology, China
  4. MyeongJin Park, Kyung Hee University, South Korea
  5. Le Van Hien Hanoi National University of Education, Vietnam
  6. Christophe Fiter, Université de Lille 1 / CRIStAL , France
  7. Xiangyu Meng, Boston University, USA

 

Relevant IEEE Access Special Sections:

  1. Analysis and Synthesis of Large-scale Systems
  2. Recent Developments in Consensus Problems for Complex Networked Systems
  3. Resource Management in Vehicular Ad-Hoc Networks: Energy Management, Communication Protocol and Future Applications

 

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: specialsections@ieee.org

Recent Advantages of Computer Vision based on Chinese Conference on Computer Vision (CCCV) 2017

Submission Deadline: 30 November 2017

IEEE Access invites manuscript submissions in the area of Recent Advantages of Computer Vision. Although this Special Section is meant as a collection of best articles from CCCV conference, we also invite authors who are performing research in this field to submit.

The Chinese Conference on Computer Vision (CCCV), hosted by China Computer Federation (CCF) and co-organized by Computer Vision Committee of CCF, is a national conference in the field of computer vision. It aims at providing an interactive communication platform for students, faculty, and researchers from industry. It promotes not only academic exchange, but also communication between academia and industry. In China, CCCV is one of the most important domestic academic activities in computer vision. In order to keep track of the frontier of academic trends and share latest research achievements, innovative ideas and scientific methods, international and domestic leading experts and professors are invited to deliver keynote speeches, introducing the latest theories and methods in the field of computer vision.

CCCV 2017 will be held during October 12-14, 2017 in Tianjin, China, contracted by Civil Aviation University of China, and co-organized by Tianjin University and Nankai University. The conference will bring together a large number of computer vision researchers to share the latest achievements.

CCCV 2017 invites authors to submit articles to address the aspects relate to recent development of computer vision, including (but not limited to):

  • Image color and texture
  • Image segmentation and classification
  • Image-based modeling
  • Shape representation and matching
  • Photography and video
  • Biological vision inspired visual method
  • Object identification
  • Object detection and classification
  • Face and posture analysis
  • Video analysis and event recognition
  • Biomedical image analysis
  • Image and video retrieval
  • Image quality assessment and analysis
  • Image restoration
  • Image composition
  • Vision in graphics
  • Computer Vision Applications
  • Visual salient detection
  • Robot Vision

This Special Section in IEEE Access mainly invites selected and high-quality presentations that were presented at CCCV 2017 to submit their expanded articles to IEEE Access. Although this Special Section is meant as a collection of best articles from the conference, we also invite authors who are performing research in this field to submit. All the submissions should satisfy the IEEE Access requirements and will go through peer review.

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

 

Associate Editor: Zhanyu Ma, Beijing University of Posts and Telecommunications, China

Guest Editors:

  1. Haibin Ling, Temple University, USA
  2.  Yi-Zhe Song, Queen Mary University of London, UK
  3. Timothy Hospedales, University of Edinburgh, UK
  4. Wei Jia, Hefei University of Technology, China
  5. Yuxin Peng, Peking University, China
  6. Aili Han, Shandong University, China

 

Relevant IEEE Access Special Sections:

  1. Visual Surveillance and Biometrics: Practices, Challenges, and Possibilities
  2. Advanced Signal Processing Methods in Medical Imaging
  3. Advanced Data Analytics for Large-scale Complex Data Environments

 

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: mazhanyu@bupt.edu.cn