Questions related to System Architecture
RESILIENCE ENGINEERING FOR SMART ENERGY SYSTEMS
CFP - A special issue of Sensors Journal
Over the last few decades, the planning and operation of energy production and energy consumption have been a growing concern globally. Smart energy management is the systematic coordination of the procurement, conversion, transmission, distribution, and use of energy to meet user, environmental, and economic requirements. In this context, the key drivers include resource conservation, climate protection, and cost savings, while the users have permanent and affordable access to the energy they need. Traditionally, smart energy management has been tackled separately in different sectors (e.g., transportation, electricity generation, built environment, industry, agriculture), each with its own specific constraints, requirements, and design solutions. In contrast to these single-sector solutions, smart energy systems adopt a holistic, systemic approach that aims to include, integrate, and coordinate technologies and stakeholders from/within multiple sectors to provide a feasible solution for each sector, as well as for the overall energy system. Smart energy systems are playing an increasingly broad and critical role in many countries to support sustainable development. One requirement of these smart energy systems is that they are resilient to any imposed damage or irregularities and continue to function at the required performance level. Resilience engineering is a holistic systems engineering approach that provides the models and methods to design and analyze systems for resilience.
The aim of this Special Issue is to bring together innovative developments and applications of resilience engineering for smart energy systems. We welcome both research papers addressing new insights and experience papers discussing the lessons learned in practice. Articles may include, but are not limited to, the following topics:
- Modelling approaches for the resilience of smart energy systems;
- System architecture design for resilience engineering of smart energy systems;
- Application of system of systems for resilient smart energy systems;
- Tools for resilient smart energy systems;
- Obstacles to resilience of smart energy systems;
- Methods and process models for resilience engineering of smart energy systems;
- Empirical evaluation approaches for resilience engineering of smart energy systems;
- Resilient engineering of smart grids and microgrids;
- Critical infrastructures and smart energy systems;
- Cross-sectoral integration of smart energy systems;
- Workflow patterns for resilient smart energy systems;
- Business modelling approaches for resilient smart energy systems;
- Metrics for resilient smart energy systems.
Prof. Dr. Bedir Tekinerdogan Dr. Tarek AlSkaif Dr. William Hurst Prof. Dr. Cagatay Catal Guest Editors
See for submission details:
CALL FOR CONTRIBUTIONS
Cyber-Physical Systems in Pandemic Monitoring and Management
Special Issue for the Cyber-Physical Systems Journal
Cyber-Physical Systems in Pandemic Monitoring and Management
This special issue addresses the timely theme of tackling challenges associated with managing infectious diseases. As witnessed in the outbreaks of many infectious diseases such as SARS and swine flu over the past couple of decades, and more recently another wave of global pandemic, the substantial volume of human traffic from country to country has posed substantial challenges to public health systems.
Utilizing integrated solutions of computation, networked sensors, and physical processes; cyber-physical systems are well-suited as monitoring systems for effective disease-spread simulation analysis that enables health resource management in tackling the current global epidemic as well as any infectious disease outbreaks that may happen in the future.
Given the urgent need for modeling disease transmission behavior in highly infectious risk areas and mitigation strategies under different outbreak circumstances, this special issue invites manuscript submissions in the following topics, but not limited to:
- Physical processes in air quality control for ventilation enhancement
- Disease transmission and spread modelling
- Pandemic data protection and management system architecture
- Social impact and socio-technology development of CPS in healthcare
- Data mining and analytics for analyzing public health data
- Model-based design, validation and implementation of CPS
- Model driven disease transmission simulation
- Transportation scenarios in confined spaces (e.g. trains, ships, airplanes)
- Sensor networks
- Data Fusion of epidemiological knowledge
- Ethical and regulatory issues concerning CPS deployment in fighting pandemic
For details please visit:
Paper submission due: October 15, 2020
Notification of decision: December 23, 2020
Revision due: January 15, 2021
Acceptance notification: February 28, 2021
Approximate publication date: Spring 2021, subject to journal publication schedules
Are there comparisons of the technical capabilities of the different radio technologies and system architectures for Cellular Internet of Things (CIoT) as described in 3GPP TR 45.820/3 GPP 23.720 (e.g. NB-CIoT, NB-LTE) available?
For 3GPP TR 45.820 "Cellular system support for ultra-low complexity and low throughput Internet of Things (CIoT)" and 3GPP TR 23.720 "Architecture enhancements for Cellular Internet of Things" Release 13 documents pls. see links to 3GPP attached.
I have always used MATLAB for neural networks design. Can you suggest any other useful software? Which books or papers provide a good reference for different types of neural training algorithms or internal architectures?
Is there a systematic approach that can do this. We have our system threat model, a set of attack goals, a list of atomic attacks towards the system architecture components: How to link the attacker goals to atomic attacks in a tree structure ?
I was searching for a system/architecture that includes a smart meter as well as several smart plugs distributed in the home. In particular interesting would be how such a system integrates smart appliances into the HEMS
I am looking for different CBM open standards to integrate and support interoperability among subsystems.