Urban Computing & Well-being in Smart Cities: Services, Applications, Policymaking Considerations

Submission Deadline: 31 July 2019

IEEE Access invites manuscript submissions in the area of Urban Computing & Well-being in Smart Cities: Services, Applications, Policymaking Considerations.

Research on smart cities is maturing and the question of securing the well-being of cities’ inhabitants is attracting increased attention of researchers, practitioners, and policymakers. Urban computing occupies an important position, as advances in this domain will define the scope of possible developments and policymaking strategies in any city. Considering the challenges and opportunities cities/urban spaces generate, today the imperative is to examine how targeted research and cutting-edge innovation can be effectively communicated to all stakeholders. Thus, synergies emerging at the research-innovation-policymaking nexus can be exploited and thus city dwellers’ well-being can be enhanced. Urban computing serves as a framework that integrates increasingly sophisticated technologies pertinent to the Internet of Things (IoT). Therefore pervasive computing, big data analytics, crowdsourcing, and volunteered geographic information, including user behavior, brand popularity, recommender systems, and social media analytics bears the promise and potential that viable solutions to key problems and challenges specific to cities/urban spaces will be solved. The objective of this Special Section in IEEE Access is to examine this promise and potential from a variety of complementary interdisciplinary perspectives, including (but not limited to) computing/ICT, political economy, public policy, innovation, and entrepreneurship.

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

  • ICTs and their role in integrative knowledge management systems for smart cities.
  • Application of public policies aimed at boosting research and innovation for smart cities.
  • Smart generation of volunteered information to finance research and innovation promotion in smart cities.
  • Pervasive computing applied in the transformation from cities to smart cities.
  • Smart and collaborative mobile applications to analyze the human dynamics in big cities.
  • The role of cryptocurrency technology for Social Economic Growth in smart cities.
  • Case studies based on IoT and Big Data Analytics technologies applied to smart cities.
  • Enhancement and strategic development of skills and competencies for the required digital transformation to develop public policy making.
  • Advanced computing approaches and systems for international business leadership in the context of smart cities.
  • Building of international innovation networks enabled by sound technological innovative applications for the sustainability of smart cities.
  • Blended (concept- and practice-driven) approaches to smart cities research
  • Smart and open data acquisition and processing
  • Pervasive and mobile computing to analyze the social impact in smart cities
  • Cloud computing for smart services inside smart cities
  • Smart healthcare applications in the development of public safety policies
  • Big Data Analytics to smart data from smart cities
  • Virtual and Augmented Reality applied to smart cities applications
  • Crowd-sensing with 5G sensors to smart cities
  • Nanotechnology applied to successful cases in smart cities
  • Cognitive computing to describe behavior in the knowledge society
  • Regulatory and policymaking considerations, including the role of international organizations in context of smart cities and their evolution

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

 

Associate Editor: Miltiadis D. Lytras, King Abdulaziz University, Saudi Arabia

Guest Editors:

  1. Ernesto Damiani, Khalifa University, Abu Dhabi, UAE
  2. Anna Visvizi, Effat University, Saudi Arabia
  3. Miguel Torres-Ruiz, Instituto Politécnico Nacional, Mexico
  4. Peiquan Jin, University of Science and Technology China, China

 

Relevant IEEE Access Special Sections:

  1. Social Computing Applications for Smart Cities
  2. Human-Centered Smart Systems and Technologies
  3. Key technologies for Smart Factory of Industry 4.0


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: mlytras@acg.edu

Artificial Intelligence and Cognitive Computing for Communications and Networks

Submission Deadline: 31 December 2018

IEEE Access invites manuscript submissions in the area of Artificial Intelligence and Cognitive Computing for Communications and Networks.

With the rapid development of communication and network technologies, novel information services and applications are rapidly growing worldwide. Advanced communications and networks greatly enhance the user experience and have a major impact on all aspects of people’s lifestyles in terms of work, society, and the economy. Although advanced techniques have extensively improved user’s quality of experience (QoE), they are not adequate to meet the various requirements of seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability, as well as other scenarios. Therefore, it is a great challenge to develop smart communications and networks that support optimized management, dynamic configuration and feasible services.

Under the new service paradigm, artificial intelligence (AI) and cognitive computing break the boundary between two separate fields, neuroscience and computer science, and pave the way for machines to have reasoning abilities which is analogous to human. The research field of AI and cognitive computing are interdisciplinary and uses knowledge and methods from many areas such as psychology, biology, signal processing, physics, information theory, mathematics, and statistics, which are very promising approaches to deal with dynamic and large-scale topology; thus, we should explore AI-based techniques such as statistical learning, feedforward neural networks, deep recurrent neural networks, etc., for complicated decision making, network management, resource optimization and in-depth knowledge discovery in complex environments. Furthermore, communications and network ecosystems must be upgraded with new capabilities such as machine learning, data analytics, and cognitive power to provide advanced intelligence.

This Special Section in IEEE Access will bring together academic and industrial researchers to identify and discuss technical challenges and recent results related to smart communication and networks. To meet the extreme requirements of the user experience, energy efficiency and performance in a complex network environment, and novel design, configuration and optimization of network communication are needed. This Special Section will discuss how to improve the QoS of communications and networks using AI and cognitive computing.

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

  • Smart communication\network architectures and infrastructure
  • Data analytics and behavior prediction for communications\networks
  • Cognitive computing, affective computing, machine learning and other innovative approaches for smart communications\networks
  • Context-aware, emotion-aware, and other novel communication\network services based on AI and cognitive computing
  • Recommender system and personalized services based on AI and cognitive computing
  • Multi-modal information fusion, contextual data management and in-depth knowledge discovery for communications\networks
  • Intelligent and interactive communication\network services and applications
  • AI-based testbed, performance evaluation for communications\networks
  • AI-based security and privacy protection for communications\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: Yin Zhang, Zhongnan University of Economics and Law, China


Guest Editors:

  1. Giancarlo Fortino, University of Calabria, Italy
  2. Limei Peng, Kyungpook National University, South Korea
  3. Iztok Humar, University of Ljubljana, Slovenia
  4. Jianshan Sun, Hefei University of Technology, China

 

Relevant IEEE Access Special Sections:

  1. Social Computing Applications for Smart Cities
  2. Human-Centered Smart Systems and Technologies
  3. Big Data Analytics in Internet-of-Things and Cyber-Physical System


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: yin.zhang.cn@ieee.org.

 

Fog Radio Access Networks (F-RANs) for 5G: Recent Advances and Future Trends

Submission Deadline: 15 February 2019

IEEE Access invites manuscript submissions in the area of Fog Radio Access Networks (F-RANs) for 5G: Recent Advances and Future Trends.

To satisfy the explosively increasing demands of high-speed data applications and massive access requirements of various Internet-of-thing (IoT) devices, a whole package of performance requirements has been proposed for the fifth-generation (5G) mobile communication system. In particular, 5G should be able to connect one million connections per square kilometer, and the system capacity will grow by a factor of 1000 compared to the fourth-generation (4G) system to deliver a consistent experience across a variety of scenarios.

Motivated by the necessity of network architecture enhancement, a paradigm of fog radio access networks (F-RANs) has emerged as a promising evolution path for 5G network architecture. In F-RANs, a fog-computing layer is formed at the edge of networks, and a part of the service requirements can be responded to locally without interacting with the cloud computing center via the fronthaul links. Therefore, by taking full advantage of distributed caching and centralized processing, F-RANs provide great flexibility to satisfy quality-of-service requirements of various 5G scenarios. F-RAN has become a research hotspot, and draws a lot of attention from both academia and industry. As it integrates with artificial intelligence and other new emerging technologies, 5G faces new challenges, and the study of F-RANs is entering a new era as well.

This Special Section in IEEE Access will focus on the state-of-art protocols, techniques and applications of F-RANs in the typical scenarios of 5G. The aim of this Special Section is to share and discuss recent advances and future trends of F-RANs, and to bring academic researchers and industry developers together.

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

  • Information-theoretic analysis for F-RANs
  • Network architecture and protocol design for 5G F-RANs
  • Computing, communication, caching, and control (4C) for F-RANs
  • Advanced PHY and MAC technologies for F-RANs
  • Resource management and cross-layer design for F-RANs
  • Fronthaul/backhaul design for F-RANs
  • Software defined F-RANs and network slicing for 5G
  • Network security for F-RANs
  • Artificial intelligence (AI)-enabled F-RANs
  • Prototype and test-bed for F-RANs

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

 

Associate Editor: Mugen Peng, Beijing University of Posts and Telecommunications, China


Guest Editors:

  1. Zhongyuan Zhao, Beijing University of Posts and Telecommunications, China
  2. Q. S. Quek, Singapore University of Technology and Design, Singapore
  3. Guoqiang Mao, University of Technology Sydney, Australia
  4. Zhiguo Ding, The University of Manchester, UK
  5. Chonggang Wang, InterDigital Communications, USA

 

Relevant IEEE Access Special Sections:

  1. Future Networks: Architectures, Protocols, and Applications
  2. Mobile Edge Computing
  3. Social Computing Applications for Smart Cities


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: pmg@bupt.edu.cn.

 

Cyber-Physical Systems

Submission Deadline: 31 December 2018

IEEE Access invites manuscript submissions in the area of  Cyber-Physical Systems.  

Recent years have witnessed the increasing synergy between the computational technologies and physical components. A Cyber-Physical System (CPS) is composed of a collection of devices interacting with each other and communicating with the physical world. It integrates computation and communication aspects together with control and monitoring techniques. Various CPS applications can be found in almost all areas of human life, such as manufacturing systems, smart grids, robotics, transportation systems, medical devices, military, home area networks and smart buildings, etc. 

The aim of this Special Section in IEEE Access is to discuss recent advances of the design, modeling, specification, analysis, verification and application merits of CPS. Such aspects involve interdisciplinary fields of science, thus the following wide range of topics is covered (but not limited to):

Control techniques of CPS:

      • Control systems, concurrent control systems, automatic control and robotics.
      • Distributed and networked control systems.
      • Control algorithms and methodologies.

Design, analysis and verification of CPS:

      • Design methodologies of CPS.
      • Model-based design, including Model-Driven Development, Unified Modeling Language (UML, SysML), etc.
      • Mixed-signal design.
      • Concurrency modeling and analysis, including Petri net-based systems.
      • Optimization techniques.
      • Verification and validation techniques, including formal verification methods.
      • Performance evaluation.
      • Integrated tool suits for CPS design, analysis and verification.

Software and hardware aspects of CPS:

      • Computation models, including mathematical descriptions and models.
      • Cloud computing.
      • Real-time systems, including real-time sensing and computing.
      • Embedded systems.
      • Programmable devices, including logic synthesis and implementation methods.

Networking in CPS:

      • Networked embedded systems.
      • Wireless sensor networks.
      • Internet of things, including aspects of designing, organization and implementation.

Applications of CPS:

      • Autonomous, adaptive and cooperative CPS.
      • Mobile, wearable, and implantable CPS in healthcare.
      • Cognitive CPS with perception, learning, and optimal decision making.
      • Reference architectures for various application domains.
      • Smart grids, power generation and distribution, power systems.
      • Smart cities, home area networks (HANs).
      • Manufacturing, flexible manufacturing systems, smart factories, Industry 4.0.
      • Reconfigurable control systems (including distributed and integrated systems).
      • Dependable CPS (cryptology, security algorithms, security aspects).

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

 

Associate Editor:  Remigiusz Wisniewski, University of Zielona Gora, Poland

Guest Editors:

  1. Grzegorz Benysek, University of Zielona Gora, Poland
  2. Luis Gomes, Universidade Nova de Lisboa, Portugal
  3. Dariusz Kania, Silesian University of Technology, Poland
  4. Theodore Simos, University of Peloponnese, Greece
  5. MengChu Zhou, New Jersey Institute of Technology, USA


Relevant IEEE Access Special Sections:

  1. Security Analytics and Intelligence for Cyber Physical Systems
  2. Big Data Analytics in Internet-of-Things And Cyber-Physical System
  3. Data-Driven Monitoring, Fault Diagnosis and Control of Cyber-Physical Systems


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: R.Wisniewski@iee.uz.zgora.pl

Collaboration for Internet of Things

Submission Deadline: 31 December 2018

IEEE Access invites manuscript submissions in the area of Collaboration for Internet of Things.

As the network of objects/things embedded with electronics, software, sensors, and network connectivity, Internet of Things (IoT) creates many exciting applications (e.g., smart grids, smart homes, smart cities) by enabling objects/things to collect and exchange data so that they can be sensed and controlled. To fulfill IoT, one essential step is to connect various objects/things (e.g., mobile phones, cars, buildings) so that they can “talk” to each other (i.e., collect and exchange data). However, substantial case studies show that simply connecting them without further collaboration among the objects/things when “talking” to each other leads to unnecessary energy consumption, uncertain security, unstable performance, etc., for IoT. Therefore, collaboration for IoT is very important. Specifically, there are a lot of critical issues in terms of how to perform a robust collaboration among the objects/things for IoT. For instance, how to conduct collaboration among the objects/things so that more energy-efficient communication can be achieved for IoT? How to conduct collaboration among the objects/things so that computing with higher performance can be achieved for IoT? How to improve the security of IoT with collaboration among the objects/things? How to enhance the Quality of Service of IoT with collaboration among the objects/things? How to minimize the overhead costs when objects/things are collaborating in IoT?

This Special Section solicits articles with novel contributions that address such issues regarding collaboration for IoT. Emerging technologies (e.g., fog computing, cognitive computing, software defined networks, deep learning) on collaboration for IoT are particularly welcome. 

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

  • Collaboration for communication in the Internet of Things
  • Collaboration for computing in the Internet of Things
  • Collaboration for energy consumption in the Internet of Things
  • Collaboration for security in the Internet of Things
  • Collaboration for robustness in the Internet of Things
  • Collaboration for Quality of Service in the Internet of Things
  • Fog computing for collaboration in the Internet of Things
  • Cognitive computing for collaboration in the Internet of Things
  • Software defined networks for collaboration in the Internet of Things
  • Deep learning for collaboration in the Internet of Things
  • Testbed on collaboration for the Internet of Things

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

 

Associate Editor:  Chunsheng Zhu, The University of British Columbia, Canada

Guest Editors:

  1. Vincenzo Piuri, Universita’ degli Studi di Milano, Italy
  2. Joel J. P. C. Rodrigues, National Institute of Telecommunications, Brazil; Instituto de Telecomunicações, Portugal
  3. Huansheng Ning, University of Science and Technology Beijing, China
  4. Huan Zhou, China Three Gorges University, China
  5. Zhangbing Zhou, China University of Geosciences, China


Relevant IEEE Access Special Sections:

  1. Real-Time Edge Analytics for Big Data in Internet of Things
  2. Multimedia Analysis for Internet-of-Things
  3. Convergence of Sensor Networks, Cloud Computing, and Big Data in Industrial 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: chunsheng.tom.zhu@gmail.com

Advanced Information Sensing and Learning Technologies for Data-centric Smart Health Applications

Submission Deadline:  28 February 2019

IEEE Access invites manuscript submissions in the area of Advanced Information Sensing and Learning Technologies for Data-centric Smart Health Applications.

Smart health is bringing vast promising possibilities on the way to pervasive health management. Smart health applications are strongly data-centric, and thus empowered by two key factors: information sensing and information learning. In a smart health system, it is crucial to effectively sense individuals’ health information, and afterwards intelligently learn from it high level health insights. These two factors are also closely coupled. For example, to enhance the signal quality, a sensing array requires advanced information learning techniques to fuse the information; and to enrich medical insights in mobile health monitoring, we need to combine ‘multimodal signal processing and machine learning techniques’ and ‘nonintrusive multimodality sensing methods’. In new smart health application exploration, challenges arise in both information sensing and learning, and especially their interaction areas.

This Special Section in IEEE Access invites academic and industrial experts to make their contributions to information sensing and learning in smart health systems. Studies are expected to build new bridges on many gaps between human subjects and their health insights, leveraging information sensing and learning technologies, such as physiological sensing, motion sensing, multimodal signal processing, health data representation techniques, machine learning, deep learning, data mining, computing platforms, and other related techniques. These technologies are required to build a whole data flow from humans to the health insights we pursue. This Special Section will allow readers to identify advancements, challenges and new opportunities in information sensing and learning for emerging smart health applications.

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

  • Physiological sensing: Heart ECG, Brain EEG, Muscle EMG, Optical PPG, Bioelectrical Impedance, etc.
  • Motion and activity sensing: movement, daily activities, behavior, etc.
  • Multichannel biomedical signal sensing and processing
  • Multimodal biomedical signal sensing and processing
  • Motion artifacts suppression techniques in wearable health monitoring
  • Data representation techniques for smart health data
  • Machine/deep learning from smart health data
  • Transfer learning applied to smart health applications with limited data
  • Time series analysis techniques using deep learning
  • Biomedical image and image processing
  • Platforms for computing intensive and/or low power smart health applications
  • Human-computer interaction for assisted living
  • Mobile health and precision medicine applications
  • Medical decision support systems
  • Wearable feedback systems for rehabilitation

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

Associate Editor:  Qingxue Zhang, Harvard University, USA

Guest Editors:

 

  1. Vincenzo Piuri, University of Milan, Italy
  2. Edward A. Clancy, Worcester Polytechnic Institute, USA
  3. Dian Zhou, University of Texas at Dallas & Fudan University, USA & China
  4. Thomas Penzel, Charite University Hospital, Germany
  5. Walter Hu, University of Texas at Dallas & One-Chip Co., Ltd., USA & China
  6. Liang Peng, Huawei Silicon Valley Center, USA

Relevant IEEE Access Special Sections:

 

  1. Mobile Multimedia for Healthcare
  2. Soft Computing Techniques for Image Analysis in the Medical Industry – Current trends, Challenges and Solutions
  3. Human-Centered Smart Systems and Technologies


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: qingxue.zhg@gmail.com

Smart Caching, Communications, Computing and Cybersecurity for Information-Centric Internet of Things

Submission Deadline: 31 May 2019

IEEE Access invites manuscript submissions in the area of Smart Caching, Communications, Computing and Cybersecurity for Information-Centric Internet of Things.

Internet of things (IoT) which supports ubiquitous information exchange and content sharing among smart devices with little or no human intervention is a key enabler for various applications such as smart city, smart grid, smart health, intelligent transportation systems, and so on. With the evolutionary growth of IoT, it is estimated that almost 50 billion devices will be interconnected by 2020. The gap between the rapidly growing demands of data rate and existing bandwidth-limited network infrastructures has become ever prominent. As a novel communication model, information-center networking (ICN) is different from traditional IP address-centric model. In fact, ICN develops from host-to-host to host-to-network, which is a promising architecture to improve the performances of IoT. Therefore, how to explore the inherent nature of the large amount of devices, such as smart caching, communications, computing and cybersecurity capabilities, to build up an efficient and smart information-centric IoT (IC-IoT) paradigm is of great significance.

Together with recent advances in caching, communication, computing, and cybersecurity, a novel smart technical paradigm for IC-IoT is emerging. Communication refers to content-driven wireless technologies and networking protocols that guarantee end-to-end connectivity. Caching and computing refer to the capabilities of the IC-IoT devices to store the data, and execute the edge computing tasks locally. Cybersecurity means to secure and protect the privacy of the content generated from or stored at IC-IoT devices. Fully utilizing all these features can complement the current study of IC-IoT and overcome the current limitations of such a highly distributed network.  However, effectively utilizing these existing capabilities for addressing the fundamental challenges in IC-IoT remains nontrivial. Despite the development of IoT, some fundamental problems are still open and require immediate studies, such as:

  • How can we achieve much higher energy and spectrum efficiency of the IC-IoT network with limited bandwidth provisioning?
  • How can we utilize storage and caching capabilities of IC-IoT devices to offload the data in order to release the traffic of the cellular networks and provide low-latency services?
  • Can we leverage recent advances in computing to evaluate the needs for locally computing or offloading to cloud/edge?
  • How can we design the lightweight security schemes, such as encryption, to secure the current IC-IoT networks?

The aim of this Special Section in IEEE Access is to provide timely and comprehensive overviews of the current state-of-the-art in terms of fundamental theoretical innovations and technological advances and towards exploiting smart caching, communications, computing and cybersecurity for future IoT networks.

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

  • Advances in communication theory, technology, and architecture for IC-IoT
  • Smart mobile computing, edge computing, cloud computing for IC-IoT
  • Smart content push, distribution and caching for IC-IoT
  • Software-defined networking and network function virtualization solutions for IC-IoT
  • Smart and novel QoS and QoE provisionings of IC-IoT
  • Computing and analysis for big data in IC-IoT
  • Novel security situational awareness, threat intelligence analysis and security defense for IC-IoT
  • Lightweight cryptography algorithms for content privacy for IC-IoT
  • Experimental prototypes and test-bed for IC-IoT
  • Smart energy efficiency and energy harvesting in IC-IoT
  • Optimization solutions of caching, communication, computing and cybersecurity for IC-IoT
  • Emerging IC-IoT applications in novel networks such as Internet of Vehicle, 5G, space information network, smart city,
  • Standardization of caching, communications, computing and cybersecurity of IC-IoT
  • Novel artificial intelligence algorithms for smart caching, communications, computing and cybersecurity of IC-IoT

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

Associate Editor: Jun Wu, Shanghai Jiao Tong University, China

Guest Editors:

  1. Zhenyu Zhou, North China Electric Power University, China
  2. Mianxiong Dong, Muroran Institute of Technology, Japan
  3. Zheng Chang, University of Jyvaskyla, Finland
  4. Sandeep S. Kumar, Philips Lighting Research, The Netherlands
  5. William J. Miller, Maximum Control Technologies, USA

 

Relevant IEEE Access Special Sections:

  1. Security and Trusted Computing for Industrial Internet of Things
  2. Real-Time Edge Analytics for Big Data in Internet of Things
  3. Multimedia Analysis for 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: junwuhn@sjtu.edu.cn

Advanced Sensor Technologies on Water Monitoring and Modeling

Submission Deadline: 30 July 2019

IEEE Access invites manuscript submissions in the area of Advanced Sensor Technologies on Water Monitoring and Modeling.

Developing new methods and technologies for water pollution control, water resources management, and restoration of watershed ecosystems are critical for securing water security and sustainable development. The biophysicochemical parameters in an aqueous system, such as flow, hydraulic heads, temperature, pH, conductivity, turbidity, microorganisms, solutes concentration, etc., are of great significance in water research. Traditional methods for aqueous environmental monitoring and modeling are heavily dependent on instant point-in-space measurements, laboratory analysis, and physical and computing infrastructure. However, these methods are not only of high cost, but also are unable to timely provide many of the required spatiotemporal features. Thus, there is a clear need for continuous on-line monitoring water quality and hydrologic conditions using advanced sensors technologies across spatiotemporal resolutions.

The rapid expansion of Internet of Things (IoT) technologies, cloud computing and big data promote unprecedented advances in signal processing and information system. Such advances support the development of sensing technologies, as well as software-defined networks, which allow effective monitoring and modeling for water issues. Sensing and control systems that are suitable for the effective monitoring of biophysicochemical parameters, as well as for detecting concentrations of interest in solutes, are crucial to investigate water health and chemical evolutions, and also to timely implement prevention and management strategies.

The purpose of this Special Section in IEEE Access is to solicit manuscripts on the emerging trends, issues, and challenges in smart sensing for aqueous environment monitoring and modeling. Practical studies describing techniques or information system for real-time and in-situ recording of biophysicochemical parameters in an aqueous environment are encouraged. Letters, reports, and reviews with a multidisciplinary focus are also welcome. Topics of interest include, but are not limited to:

  • Advanced sensing technologies in aqueous environments
  • Low cost, portable optical sensing technologies for water monitoring
  • Design, simulation and implementation of sensor systems for water leakage monitoring
  • Water quality sensing in Water Distribution System (WDS)
  • Wireless Sensor Networks (WSNs) for water resource management and control
  • Web-based system analysis and modeling in urban water systems
  • Smartphone-based mobile water monitoring and heterogeneous sensor network
  • Transportation and environmental pollution analysis on water quality
  • Real-time flood forecasting and warning systems
  • Novel monitoring system for municipal water pipes
  • Remote Hydrologic Sensor Networks in the context of citizen science
  • Underwater acoustic signaling and interactive visualizing technologies
  • Real-time, on-site and in-situ monitoring in water and marine environments
  • Robotic and autonomous hydraulic information monitoring infrastructures
  • Experimental network measurements and characterization for aqueous monitoring
  • Water data processing pipelines and data product generation
  • Water data life-cycle management and end-to-end systems
  • Data quality assurance and quality control for observational water data
  • Innovation in water and healthy environments research
  • Adaptive measurements collection, acquisition, management, and visualization
  • Sustainable water management and cost-benefit analysis
  • Security issues and solutions for privacy in an aqueous environment

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

Associate Editor: Xiang Huang, Zhongnan University of Economics and Law, China

Guest Editors:

  1. Jie Liu, Peking University, China
  2. Eftichios Koutroulis, Technical University of Crete, Greece
  3. Branko Kerkez, University of Michigan, USA
  4. Gilberto Pastorello, Lawrence Berkeley National Laboratory, USA
  5. Nick R. Harris, University of Southampton, UK.

 

Relevant IEEE Access Special Sections:

  1. Underwater Wireless Communications and Networking
  2. Multiphase Flow Measurement: Techniques and Applications
  3. Convergence of Sensor Networks, Cloud Computing, and Big Data in Industrial 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: huangx07@gmail.com

Novel Learning Applications and Services for Smart Campus

Submission Deadline: 1 July 2018

IEEE Access invites manuscript submissions in the area of Novel Learning Applications and Services for Smart Campus.

In the past few years, the explosive growth in knowledge makes the role of education which spreads knowledge become increasingly important. Meanwhile, the education model is going through a transformation in which the learning of various students (e.g., students without disabilities, students with disabilities, students who are physically in classrooms, students who are geographically remote, students who learn quickly, students who learn slowly) needs to be performed in different ways. All these induce the smart campus, which implements education by incorporating various information and communication technologies in order to actively learn from and adapt to the needs of various students. Specifically, with smart campus, there are a lot of novel learning applications and services. One classic example is that the learning quality of students can be improved, via continuously monitoring and analyzing the status and activities of various students with information sensing devices (e.g., sensors) and information processing platforms (e.g., cloud computing platforms) to offer real-time learning feedback to various students.

Nevertheless, there are many challenges to be addressed for enabling such novel learning applications and services for smart campus. For instance, the accuracy in terms of sensing the status and activities of various students should be high. The data transmission between the information sensing devices and the information processing platforms should be secure. The learning feedback should be sent to various students quickly. The overall smart campus system should be energy efficient. Therefore, this Special Section in IEEE Access aims to advance the novel learning applications and services for smart campus, by soliciting the technical articles with solid contributions which face the challenges to achieve the novel learning applications and services for smart campus. Survey articles are also considered.

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

  • Architectures and systems for smart campus
  • Standardization, policy, and regulation for smart campus
  • Integration of various sensor technologies for smart campus
  • Sensing for smart campus
  • Reliable and robust communication for smart campus
  • Computing for smart campus
  • Data processing and analysis for smart campus
  • Energy consumption for smart campus
  • Security for smart campus
  • Quality of experience and quality of service for smart campus
  • Outlook on applications and services for smart campus

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

Associate Editor: Lei Shu, Nanjing Agricultural University, China & University of Lincoln, UK

Guest Editors:

  1. Han-Chieh Chao, National Dong Hwa University, Taiwan
  2. Jason Yi-Bing Lin, National Chiao Tung University, Taiwan
  3. Odej Kao, Technical University of Berlin, Germany
  4. Chunsheng Zhu, The University of British Columbia, Canada
  5. Zumin Wang, Dalian University, China

 

Relevant IEEE Access Special Sections:

  1. The New Era of Smart Cities: Sensors, Communication Technologies and Applications
  2. Intelligent Systems for the Internet of Things
  3. Key Technologies for Smart Factory of Industry 4.0

 

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: lei.shu@ieee.org

Cyber-Threats and Countermeasures in the Healthcare Sector

Submission Deadline: 15 April 2018

IEEE Access invites manuscript submissions in the area of Cyber-Threats and Countermeasures in the Healthcare Sector.

According to the guidelines issued by the United States Department of Homeland Security, the healthcare sector is considered critical infrastructure. Healthcare and the public health sector caters to the most vulnerable population in our communities and has become one of the most targeted sectors by cyber criminals. There has been a constant increase in attacks on public health infrastructure. Patient history data has substantially higher monetary value compared with other types of personal or financial data. The increase in criminal activity is underpinned by the lack of awareness among users of technology and an astronomical growth in personal healthcare devices such as personal activity monitors, personalised medical devices (e.g., insulin pumps), digitisation of patient records from paper based records, and the increasing number of connected healthcare information systems to the Internet. In this Special Section in IEEE Access, we invite leaders in the healthcare security industry to enlighten readers of the cyber-threats and countermeasures to combat the growing security problems facing the healthcare sector.

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

  • Medical Data Protection and methods of secure data governance
  • Medical Infrastructure Protection
  • Applications of Digital Forensics in Healthcare sector
  • Regulation and standards for medical device cyber protection
  • Medical devices security and post market surveillance
  • Patient and personal data safety
  • Socio-technical cybersecurity issues of using personal monitoring devices
  • Risk assessment in the healthcare and public health sector
  • Novel cryptologic solutions for the medical data
  • Cyber Security issues in assistive technologies for patient recovery
  • Cyber security issues and countermeasures in curation of medical data

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

Associate Editor: Junaid Chaudhry, Edith Cowan University, Australia

Guest Editors:

  1. Metin Gurcan, Winston-Salem, North Carolina, USA
  2. Craig Valli, Edith Cowan University, Australia
  3. Trish Williams, Flinders University, Australia
  4. Nasir Rajpoot, University of Warwick, UK
  5. Uvais Qidwai, Qatar University, Qatar

 

Relevant IEEE Access Special Sections:

  1. Health Informatics for the Developing World
  2. Body Area Networks
  3. Security Analytics and Intelligence for Cyber Physical Systems

 

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:  Chaudhry@ieee.org