Metal Additive Manufacturing

Submission Deadline:  15 December 2021

IEEE Access invites manuscript submissions in the area of Metal Additive Manufacturing.   

Additive manufacturing (AM) is a main driver of the Industry 4.0 paradigm. While the additive manufacturing of plastics is common, metal additive manufacturing processes still face several research challenges. The high cost and unpredictable defects in final parts and products are preventing complete deployment and adoption of additive manufacturing in the metalworking industries. Several aspects need improvement, including robustness, stability, repeatability, speed and right-first-time manufacturing. Nevertheless, its potential to the production of structural parts is significant, from the medical to the aeronautics industry.

The industrialization of additive manufacturing requires holistic data management and integrated automation. End-to-end digital manufacturing solutions have been developed in the last few years, enabling a cybersecure bidirectional dataflow for a seamless integration across the entire AM chain. Novel manufacturing methodologies need to be developed to ensure the manufacturability, reliability and quality of a target metal component from initial product design, implementing a zero-defect manufacturing approach ensuring robustness, stability and repeatability of the process.

This Special Section in IEEE Access will bring together academia and industry to discuss technical challenges and recent results related to additive manufacturing. Theoretical, numerical and experimental development in this domain are welcome. The articles are expected to report original findings or innovative concepts featuring different topics related to metal additive manufacturing. Industry-related studies are welcome, especially the ones demonstrating advanced applications of metal additive manufacturing in challenging scenarios.

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

  • Data interoperability
  • Data analytics
  • Digitalization and data security
  • Topologic optimization
  • Additive manufacturing building strategy
  • Multi-physics process simulation and modeling
  • Product engineering optimization
  • Testing and characterization
  • Zero defect manufacturing and process control
  • Quality assurance
  • From CAD design to real part production
  • Advanced industry applications

 

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

 

Associate Editor:  Pedro Neto, University of Coimbra, Portugal

Guest Editors:

    1. Mustafa Megahed, ESI Group, Germany
    2. Matthew Gilbert, The University of Sheffield, UK
    3. Kaixiang Peng, University of Science and Technology Beijing, China
    4. Felix Vidal, AIMEN Technology Centre, Spain
    5. Leroy Gardner, Imperial College London, UK
    6. Xuemin Chen, Texas Southern University, USA
    7. Stasha Lauria, Brunel University London, UK

 

Relevant IEEE Access Special Sections:

    1. Advanced Artificial Intelligence Technologies for Smart Manufacturing
    2. Key Technologies for Smart Factory of Industry 4.0
    3. Advances in Machine Learning and Cognitive Computing for Industry Applications

 

IEEE Access Editor-in-Chief:  Prof. Derek Abbott, University of Adelaide

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

 For inquiries regarding this Special Section, please contact: pedro.neto@dem.uc.pt.

Wide Area Surveillance

Submission Deadline: 15 June 2019

IEEE Access invites manuscript submissions in the area of Wide Area Surveillance.

Wide area surveillance (WAS) has many applications, from monitoring forests to oceans, coastal security to illegal fishing, terrorism to transportation management, vessel management in harbors to surface monitoring in narrow waterways, etc. The term “wide area” may be a few square kilometers up to several hundred nautical miles in range, and 100-120 degrees in azimuth. Wide area surveillance covers both hard-target detection (e.g., ships, aircrafts) and environmental monitoring, namely currents, waves, and tsunamis (echoes from the sea). Many countries with coastal regions have studied multi-sensor WAS systems for several decades, among them the USA, Canada, France, Turkey, Australia, China and Germany have made note-worthy progress.

WAS systems deal with problems related to almost every aspect of engineering, from electromagnetics to circuits and networks, and from system engineering to multi-physics. A few examples include sensors and sensor integration; electromagnetics/acoustics/ocean wave dynamics, radiowave propagation, radar systems, radar cross section, systems and system integration, antenna systems, digital beamforming and beam steering, etc.

This Special Section in IEEE Access focuses on all the above-mentioned aspects of WAS systems. It will include reviews and surveys, as well as original and new research articles.

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

  • Sensors and Surveillance Systems
  • High Frequency Surface Wave Radars (HFSWR) or Over-the-Horizon Radars (OTHR)
  • Maritime Integrated Surveillance Systems
  • Vessel Management in Harbors and Narrow Waterways
  • Electromagnetics / Acoustics / Ocean wave dynamics
  • WAS Modeling and Simulation
  • Tracking and Fusion
  • Antenna Arrays and Beam forming/steering
  • Electromagnetic Scattering, Propagation and Diffraction
  • System Maintenance and Reliability

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

 

Associate Editor: Mehmet Alper Uslu, Netaş, Turkey

Guest Editors:

  1. Levent Sevgi, Istanbul Okan University, Turkey
  2. Tony Ponsford, Raytheon, Canada
  3. Stuart Anderson, University of Adelaide, Australia

 

Relevant IEEE Access Special Sections:

  1. Mission Critical Sensors and Sensor Networks
  2. Advanced Sensor Technologies on Water Monitoring and Modeling
  3. Emerging Trends, Issues and Challenges in Underwater Acoustic Sensor 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: auslu@netas.com.tr

Advances in Prognostics and System Health Management

Submission Deadline: 31 May 2019

IEEE Access invites manuscript submissions in the area of Advances in Prognostics and System Health Management.

There is a growing interest from industry, government, and academia for prognostics and health management of engineering systems and critical components. Prognostics aim to predict the time when an engineering system or a critical component will no longer perform its intended functionality. Health management is to take a measure to respond to the anticipation of failures and minimize economic loss, and then prevent any unexpected accidents. Thanks to advances of sensor systems, a large amount of direct and indirect health monitoring data may be available. Direct health monitoring data mean that data can be directly used as health indicators to assess the current health condition of engineering systems and critical components. Indirect health monitoring data indicate that some transformations of data should be conducted to construct health indicators for condition assessment of engineering systems and critical components. Thus, signal processing and data mining algorithms are required to preprocess indirect health monitoring data prior to the use of any prognostic algorithms. After preprocessing is conducted, a health indicator is constructed to describe how far the current health condition of engineering systems and critical components deviate from their expected normal health conditions. Once a health indicator is available, prognostic algorithms are developed to extrapolate the current health condition to future health conditions and then predict the remaining useful life.

The goal of this Special Section in IEEE Access is to provide a forum for the latest advances in the area of prognostics and system health management.

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

  • Smart senor designs for emitting excitations and receiving degradation data
  • Signal processing algorithms for reprocessing degradation data
  • Extraction of health indicators from engineering systems and critical components
  • Abnormal health detection algorithms and statistical control charts
  • Data fusion for degradation data
  • Deep learning based diagnostic and prognostic algorithms
  • Statistical modelling for degradation data
  • State space modeling for degradation data
  • Uncertainty interpretation, uncertainty quantification, uncertainty propagation and uncertainty management
  • Performance evaluation
  • Decision Making for degradation data
  • Industrial applications and their success in prognostics and health management

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

 

Associate Editor:

  1. Dong Wang, Shanghai Jiao Tong University, China
  2. Chuan Li, Chongqing Technology and Business University, China


Guest Editors:

  1. Enrico Zio, Foundation Electricite’ de France (EDF) at CentraleSupélec, France
  2. José Valente de Oliveira, Universidade do Algarve, Portugal
  3. Nishchal K. Verma, Indian Institute of Technology Kanpur, India
  4. Mariela Cerrada, Universidad Politecnica Salesiana, Ecuador
  5. Michael Pecht, University of Maryland, USA
  6. Abhinav Saxena, GE Global Research, USA
  7. Chetan S. Kulkarni, NASA Ames Research Center, USA

 

Relevant IEEE Access Special Sections:

  1. Data-Driven Monitoring, Fault Diagnosis and Control of Cyber-Physical Systems
  2. New Developments on Reliable Control and Filtering of Complex Nonlinear Systems
  3. Recent Computational Methods in Knowledge Engineering and Intelligence Computation


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: dongwang4-c@my.cityu.edu.hk (Dong Wang) or chuanli@ctbu.edu.cn (Chuan Li).

 

Advanced Software and Data Engineering for Secure Societies

Submission Deadline: 30 June 2019

IEEE Access invites manuscript submissions in the area of Advanced Software and Data Engineering for Secure Societies.

Advances in Information and Communication Technologies (ICT) have remodeled the way we live and work over the last few years. The use of mobile Internet technology is already widespread, with more than 1.1 billion people constantly connected to the digital world using smartphones and tablets. The digital world expands its frontiers every day to include not only systems and humans, but also physical objects. Machinery, shipments, infrastructures, and devices are being equipped with networked sensors and actuators that enable them to monitor their environment, report their status, receive instructions, and even collaborate to take appropriate actions. Social media platforms such as Facebook, Twitter, WhatsApp, etc., are progressively becoming the norm rather than exception as to the way through which people meet, socialize, communicate and work.

While such technologies promise to make our lives easier, they raise significant security challenges for modern societies. They can be misused by malicious individuals or groups to harm people or disrupt systems and services at unprecedented scale. For example, terrorist groups and organizations try to exploit popular social media to influence vulnerable people and drive them to commit terrorist attacks. In a recent denial of service attack, control was taken of millions of unsecured internet routers around the globe to flood a major DNS provider, leading to global internet outages. Hackers try repeatedly to compromise the information systems of many democratic organizations around the globe to release information about candidates and sway the opinions of voters.

The goal of this Special Section in IEEE Access is to collect recent advances, innovations and practices in software, data and knowledge engineering for building security systems, techniques and solutions with the objective of protecting our citizens, society and economy as well as our infrastructures and services, our prosperity, political stability and well-being.

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

  • Forensic-ready software and system engineering
  • Software architectures for fighting online radicalization, extremism and terrorism
  • Software architectures for fighting the dissemination of fake news
  • Data mining and machine learning applied to cyber security
  • Data protection in the digital space
  • Privacy protection in the cyber-physical-social space
  • Software and data architectures for the protection of critical infrastructures
  • Software and data architectures for community policing
  • Robust machine learning
  • Identification of adversarial examples
  • Protection of systems against adversarial attacks
  • Transparency for security
  • Human factors for secure software systems

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

 

Associate Editor: Mahmoud Barhamgi, Claude Bernard Lyon 1 University, France


Guest Editors:

  1. Raúl Lara-Cabrera, Autonomous University of Madrid, Spain
  2. Nobukazu Yoshioka, National Institute of Informatics, Japan
  3. Xiangliang Zhang, King Abdullah University of Science and Technology, Saudi Arabia
  4. Michael N. Huhns, University of South Carolina, USA
  5. Hoda Al Khzaimi, Center of Cyber Security, University of New York Abu Dhabi NYUAD, UAE

 

Relevant IEEE Access Special Sections:

  1. Challenges and Opportunities of Big Data Against Cyber Crime
  2. Cyber-Threats and Countermeasures in the Healthcare Sector
  3. Security Analytics and Intelligence for Cyber Physical Systems


IEEE Access Editor-in-Chief: Prof. Derek Abbott, University of Adelaide

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

For inquiries regarding this Special Section, please contact:  mahmoud.barhamgi@univ-lyon1.fr

 

New Developments on Reliable Control and Filtering of Complex Nonlinear Systems

Submission Deadline: 31 January 2018

IEEE Access invites manuscript submissions in the area of New Developments on Reliable Control and Filtering of Complex Nonlinear Systems.

During the past three decades, the problems of reliable control and filtering have attracted considerable attention due to the growing demands for system safety, reliability, maintainability, and survivability. The main aim of reliable control and filtering is to design a suitable controller and filter with guaranteed stability and performance, respectively, not only when all the system components are in operation, but also in the situation when some component failures occur. To guarantee a higher reliability level and better control performance, reliable control systems depending on various control strategies have been concerned to achieve these critical requirements, i.e., the pole region assignment method, coprime factorization method, the algebraic Riccati equation (ARE)-based method, the Hamilton-Jacobi inequality (HJI)-based method, and linear matrix inequality (LMI)-based method, for example. Although many researchers have investigated the reliable control/state estimation problems for linear systems with different scenarios for many years, the topic of reliable control/filtering in complex nonlinear systems is still in the early stage of development and many critical issues remain to be further investigated.

The primary objective of this Special Section in IEEE Access is to provide up-to-date research on technical innovations and theoretical advancement in system analysis and reliable controller/filter design of complex nonlinear systems. Of particular interest, the articles in this Special Section are devoted to the modeling of complex nonlinear systems, the development of advanced communication technology used in nonlinear systems, distributed reliable control/state estimation, fault detection and isolation, fault-tolerant control of nonlinear systems, and their applications in industrial process systems. The contributions to this Special Section are expected to provide the latest results in advanced analysis, optimization, reliable control/filtering and real applications for nonlinear dynamical systems.

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

  • Mathematical modeling of complex nonlinear systems
  • The characterizations of the system failures/faults
  • Co-design of reliable control systems
  • Reliable control/state estimation schemes of nonlinear systems with guaranteed performance
  • Distributed reliable control/state estimation for networked nonlinear systems
  • Advanced fault detection and diagnosis and fault-tolerant control schemes for nonlinear systems
  • Resiliency, robustness and reliability analysis in practical engineering systems
  • Reliable control/state estimation of stochastic nonlinear systems and their 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: Jianbin Qiu, Harbin Institute of  Technology, China

Guest Editors:

  1.  Yanling Wei, Technical University of Berlin, Germany
  2. Ye-Hwa Chen, Georgia Institute of Technology, USA
  3. Hak-Keung Lam, King’s College London, UK
  4. Hamid Reza Karimi, Politecnico di Milano, Italy

 

Relevant IEEE Access Special Sections:

  1. Recent Developments in Consensus Problems for Complex Networked Systems
  2. Analysis and Synthesis of Large-scale Systems
  3. Learning Systems Based Control and Optimization of Complex Nonlinear 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: jbqiu@hit.edu.cn

Software Standards and Their Impact in Reducing Software Failures

Submission Deadline: 15 March 2018

IEEE Access invites manuscript submissions in the area of Software Standards and Their Impact in Reducing Software Failures.

The need to develop software, for diverse reasons, is growing every passing day; therefore, the emphasis on the maturity of the software process is increasing. A maturity model is seen as a set of structured levels, which accurately describe the behaviours, practices and processes of an organization which can reliably and sustainably produce the required outcomes. The maturity process is observed by technological measures that can ensure that the software is properly documented, adequately developed and tested, and rationally deployed in such a way that the process is completed successfully. Several standards exist, including IEEE Standards and SEI’s Capability Maturity Model (CMM) and Capability Maturity Model Integration (CMMI) for software process maturity assessment and risk management. These models use a multi-level scale to measure the maturity of the process.

The outcome of the maturity process should be a more efficient and successful delivery of completed software and a reduction in failed projects. Unfortunately, this is not what the software success/failure statistics reveal. Standish group, for example, has reported that, despite the improvements in software process maturity, only 30% of projects are completed successfully, while 50%face challenges and the remaining 20% are absolute failures. Such a big proportion of failures damages the firm reputation and harms future business, which in return may damage the investments and the job market may squeeze accordingly. It is therefore important to identify why improvements in the software development process are not showing considerable results. It is also important to identify the limitations and challenges that hinder the deployment of innovative standards and norms for developing quality software.

This Special Section in IEEE Access aims to identify original contributions that help us identifying and reducing software failures by addressing the development activities or by addressing the software process as a whole. The areas of interest include, but are not limited to the following:

  • Impact of deviation from software standards
  • Challenges in agile software development
  • Critique on agile software development paradigm
  • Challenges in achieving and adopting higher CMM/CMMI levels
  • Software sizing and effort estimation
  • Social media as an influencer in software requirement engineering
  • Software risk management and quality assurance
  • Software testing guidelines for large scale projects
  • Organizational, Operation, and Project Management
  • Innovative software engineering standards
  • Software engineering in social sciences
  • Software standards for mobile applications
  • Crowdsourcing standards and challenges
  • Projects management for large scale and very large scale software projects

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

Associate Editor: Basit Shahzad, King Saud University, Saudi Arabia

Guest Editors:

  1. Hany Ammar, West Virginia University, USA
  2. Naveed Ikram, Riphah International University, Pakistan
  3. Ali Shariq Imran, NTNU, Norway
  4. Zohaib Zafar Iqbal, National University of Computer and Emerging Sciences, Pakistan
  5. Denis Ávila Montini, Researcher Institute Technological of Aeronautics (ITA), Brazil

 

Related IEEE Access Special Sections:

  1. Emerging Trends, Issues, and Challenges in Energy-Efficient Cloud Computing
  2. Security and Privacy in Applications and Services for Future 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: basit.shahzad@gmail.com