体系结构&并行计算 | SCI期刊专刊截稿信息6条

计算机体系结构,并行与分布式计算

Journal of Systems Architecture

Journal of Systems Architecture: Embedded Software Design (JSA) Special Issue on Emerging Trend and Techniques of Cyber Physical Systems

全文截稿: 2018-08-31

影响因子: 1.579

CCF分类: B类

中科院JCR分区:

  • 大类 : 工程技术 - 4区

  • 小类 : 计算机：硬件 - 4区

  • 小类 : 计算机：软件工程 - 4区

网址: http://www.journals.elsevier.com/journal-of-systems-architecture/

Cyber Physical Systems (CPS) are engineered systems resulting from a seamless integration between physical processes, communication networks and computational hardware. The emergence of CPS is facilitated by the fact that modern communication, networking and computational devices are becoming more powerful, smaller and cheaper. As a result, these cyber components can be readily integrated with the physical devices and processes, resulting in a more smart, capable, efficient and flexible system. Due to these advantages over legacy systems, CPS are becoming ubiquitous and are being increasingly deployed in transportation, energy, healthcare, telecommunication and manufacturing sectors.

There are many challenges involved in the design and analysis of CPS, primarily due to presence of heterogeneous computational/networking and physical components. These components need to be integrated tightly and the functionality of each component depends critically on the other components. Further, CPS can be very complex and large scale with multiple interconnected components (e.g. power grids, transportation systems) and the whole system needs to be controlled and monitored in real-time to make sure it is functioning correctly. Moreover, issues regarding stability, robustness to disturbances/uncertainties, and resilience against cyber-attacks need to be addressed.

The unique nature of CPS requires tools and knowledge from different fields of systems engineering, computer science and mathematics. For instance, several processes in the physical world are theoretically modeled using partial differential equations (PDE) and can be represented as linear/non-linear dynamical systems. Also, the complex and large-scale nature of CPS requires computer modeling, numerical simulations and optimization algorithms for their efficient design and monitoring. Thus, CPS is becoming a truly interdisciplinary field and presents an immense potential for cross-domain applications.

This special issue is focused towards emerging trends and all kinds of novel applications and techniques from systems theory, computer science and mathematics in the design and analysis of cyber-physical systems. We seek original research articles that present smart and innovative solutions to make CPS more efficient, scalable, robust and secure.

Specific topics include, but not limited to, the following:

- Data driven modeling and analysis of CPS

- Enhancing security and privacy in CPS

- Cooperative multi-agent models of CPS

- Distributed monitoring, control and optimization

- Sensing and wireless technologies in CPS

- Stability and optimal control of CPS

- Detection and state estimation in complex CPS

- Smart grid operation and renewable energy integration

- Big data and machine learning in large-scale CPS

- Efficient and low complexity computational techniques

- Intelligent transportation system design

- Emerging trends in smart and sustainable technologies

- Smart farm and its application in big data

- Cloud-enabled techniques and innovation

计算机体系结构,并行与分布式计算

Computer

Cognitive Computing Systems and Applications – CALL FOR PAPERS

摘要截稿: 2018-08-01

全文截稿: 2018-09-01

影响因子: 1.755

CCF分类: 无

中科院JCR分区:

  • 大类 : 工程技术 - 4区

  • 小类 : 计算机：硬件 - 3区

  • 小类 : 计算机：软件工程 - 3区

网址: https://www.computer.org/computer-magazine/

Computer plans an April 2019 issue on cognitive computing systems and applications. Cognitive computing is an emerging interdisciplinary domain. Broadly speaking, there are two lines of research in the cognitive computing discipline. The first is cognitive science-driven and encompasses neuroscience, philosophy, psychology, anthropology, and linguistics research. The second is more recent and is focused on the computer science foundations of cognitive computing.

Recent advances in computing—such as IBM’s TrueNorth neuromorphic CMOS chip, Nvidia’s Tesla P100 GPUs, and numerous open-source APIs are enabling unprecedented and transformational applications. This special issue will focus exclusively on the computer science-driven cognitive computing.

This special issue will bring together a coherent body of knowledge, recent research, and industry best practices in cognitive computing. The articles will balance coverage of the underlying foundations with practical applications to cater to the interests of both researchers and industry practitioners. Furthermore, the issue will reflect the different complementary aspects of cognitive computing.

The guest editors seek articles covering all areas of cognitive computing systems and applications, including those addressing fundamental and practical issues in cognitive computing, as well as those that focus on system aspects and cognitive applications development. Investigations that address foundational aspects of cognitive computing, and large-scale operational cognitive systems are of interest. Suggested topics include, but are not limited to, the following:
- Numeromorphic processors and architectures;
- Infrastructures, frameworks, libraries, and APIs for cognitive systems development
- Information extraction and knowledge representation in cognitive systems
- Learning in cognitive systems
- Big data-driven cognitive computing
- Cognitive modeling
- Speech recognition and language generation
- Automatic question generation
- Question-answering systems
- Natural language analysis and understanding
- Cognitive analytics
- Cognitive chatbots and robots
- Cognitive Internet of Things (IoT)
- Cognitive vehicles
- Multimodal interfaces
- Cognitive computing systems evaluation

计算机体系结构,并行与分布式计算

Future Generation Computer Systems

Special Issue on “Managing Quality of Service in Cloud and IoT”

全文截稿: 2018-10-15

影响因子: 3.997

CCF分类: C类

中科院JCR分区:

  • 大类 : 工程技术 - 2区

  • 小类 : 计算机：理论方法 - 2区

网址: http://www.journals.elsevier.com/future-generation-computer-systems/

Cloud computing enables transparent and flexible access to the IT services through the Internet. With the maturity and standardization of cloud computing technologies, many organizations and enterprises, are migrating their IT services to cloud. In the meantime individuals, organizations and enterprises are also interested to connect more and more devices through the IoT and use cloud as a resource provisioning pool for IoT devices. For instance, most modern devices such as TVs, smart digital devices, etc., use cloud as a backend system for data and applications. Thus cloud and IoT are used side by side to offer new and seamless services.

Despite various advances in cloud and IoT, one of the main challenges posed by cloud and IoT systems is the Quality-of-Service (QoS) management such as managing performance, reliability, efficiency, security, and privacy among others. This special issue aims to foster the dissemination of high quality research with new ideas, approaches, theories and practice to resolve the challenging issues related to the Quality of Service (QoS) in cloud and IoT. Original research articles are solicited which include (but not limited to), the following topics:

- QoS Models and architectures

- QoS-based Service selection and provisioning

- Security and privacy

- Reliability and failure resilience

- Performance evaluation and modelling

- Reliability and availability

- Data quality

计算机体系结构,并行与分布式计算

Computers & Electrical Engineering

Special Section on Security and Privacy for Smart Cities: Challenges and Opportunities

全文截稿: 2018-11-15

影响因子: 1.57

CCF分类: 无

中科院JCR分区:

  • 大类 : 工程技术 - 4区

  • 小类 : 计算机：硬件 - 4区

  • 小类 : 计算机：跨学科应用 - 4区

  • 小类 : 工程：电子与电气 - 4区

网址: http://www.journals.elsevier.com/computers-and-electrical-engineering/

A smart city is a newly developed concept, referring to an urban area using different kinds of electronic sensors to collect data and supply information, including data collected from citizens, devices, and assets that is processed and analysed to monitor and manage traffic and transportation systems, power plants, waste management, hospitals, etc. It integrates information and communication technology (ICT), various physical devices, and citizen services. Nowadays, devices in a smart city are not limited to static sensors anymore, but also include any personal wearable devices like mobile phones, smart watch, smart glasses, etc.

These connection technologies greatly improve the quality of people’s daily life, but also expose the whole network to cyber-attackers. As there are various kinds of devices within a smart city, there is a strong need to develop appropriate mechanisms to protect the security and privacy for smart cities.

This special issue intends to gather cutting-edge results on security and privacy issues for smart cities. The aim is to promote research in the domain of smart cities, including design methods, crypto and post-quantum, intrusion detection and prevention.

In particular, the topic of interest includes but is not limited to

- Post-quantum security for smart cities

- Secure design for smart cities

- Side-channel analysis for the security and privacy of smart cities

- Security analysis for smart cities

- Privacy and anonymization techniques for smart cities

- Lightweight security solutions for smart cities

- Authentication and access control for smart cities

- Innovative security techniques for smart city infrastructure

- Cloud computing-based security solutions for smart cities

- Critical infrastructures privacy and security for smart cities

- Biometric solutions for securing smart cities

- Security challenges and mitigation approaches for smart cities

- Cyber-attacks detection and prevention systems for smart cities

- Interoperable security for smart city planning and applications

- Blockchain technologies for smart city security and privacy

- Privacy-preserving technologies for smart cities

计算机体系结构,并行与分布式计算

Computers & Electrical Engineering

Special issue on Artificial Intelligence for Smart Systems

全文截稿: 2018-12-04

影响因子: 1.57

CCF分类: 无

中科院JCR分区:

  • 大类 : 工程技术 - 4区

  • 小类 : 计算机：硬件 - 4区

  • 小类 : 计算机：跨学科应用 - 4区

  • 小类 : 工程：电子与电气 - 4区

网址: http://www.journals.elsevier.com/computers-and-electrical-engineering/

In the past few years, computing for smart environments, such as smart cities, smart homes, and smart transportation, has become a major trend in computing. The emergence of new techniques and applications of intelligent sensor-based processing has largely benefited the modern intelligent smart systems. Moreover, brain-inspired computing and other advanced artificial intelligence techniques that have been successfully employed in various areas of robotics, knowledge discovery, big data and other ICT domains, can accomplish impressive results in in-demand fields of computing such as smart environments and Internet of Things.

The International Conference on Intelligent Technologies and Applications (INTAP-2018), to be held in Bahawalpur, Pakistan during 23-25 Oct, 2018, is being organized by the Artificial Intelligence Research Group in cooperation with Sir Sadiq Association of Computing and the Islamia University of Bahawalpur. INTAP-2018 focuses mainly on techniques and applications for smart environments. This special issue will include a few invited extended versions of the best papers of the INTAP-2018 conference.

The aim of this special issue is to bring together academics and industrial practitioners to exchange and discuss the latest innovations and applications of artificial intelligence (AI) in the domain of Smart Systems (SS). In the past few decades, automated and intelligent Smart Systems have emerged, opening new research directions that are still evolving due to new challenges and technological advances in the field.

Topics

The scope of this special issue is the application of artificial intelligence techniques and algorithms to design and solve existing problems of smart systems. These techniques include:

· Computer vision for smart systems

· Natural language interfaces for smart systems

· Knowledge based smart systems

· Agent based smart systems

· Fuzzy logic based smart systems

· Deep learning for smart systems

· Artificial neural networks for smart systems

· Ontology based smart systems

· Multimedia learning for smart systems

计算机体系结构,并行与分布式计算

Computers & Electrical Engineering

Special Issue on Artificial Intelligence in Renewable Energetic Systems

全文截稿: 2018-12-08

影响因子: 1.57

CCF分类: 无

中科院JCR分区:

  • 大类 : 工程技术 - 4区

  • 小类 : 计算机：硬件 - 4区

  • 小类 : 计算机：跨学科应用 - 4区

  • 小类 : 工程：电子与电气 - 4区

网址: http://www.journals.elsevier.com/computers-and-electrical-engineering/

Across the globe, energy systems are becoming increasingly complex and interconnected creating unprecedented challenges to the utility industry. The development of cost-effective, secure and sustainable renewable and/or alternative energy solutions requires new approaches for demand/supply management, optimisation and control. Artificial intelligence (AI) techniques and computational intelligence are powerful tools for learning and adaptation, reasoning and planning, autonomy and creativity and have the potential to become the enabling technologies for the future challenges facing energy industry throughout its low carbon journey.

With AI adoption, energy systems will have distributed intelligence and automation at all levels, which allows real-time data to be analysed instantly to make on-the-spot decisions and optimize energy flows according to the infrastructure resources and constraints. In addition, the concept of "Big Data" driven by the ever-expanding computational power of the new generation of high performance computers, will provide new insights into demand management, load control and energy storage management for improved economics, security and reliability of the power grid.

This special issue aims to consolidate ongoing research in this emerging multidisciplinary area and provide an opportunity for specialists in electrical and energy systems and data analytics, computer science, algorithms and models of artificial intelligence to combine their knowledge and intellectual potential for the benefit of the society and industry.

The topics of interest are strictly limited to:

- Smart Cities and Smart Grid

- Smart Home, Smart Mobility and Smart Community

- Artificial Intelligence and Business Strategy

- Smart transport systems and smart services

- Artificial Intelligence and Computational Intelligence Methods in Renewable Energy

- IoT technologies and wireless sensor networks for smart cities

- Data Analytics and Machine Learning Techniques.

- Applications, business and social issues for smart cities

- Smart Energetic Management and Electrical Efficiency, Micro Grid and Decentralized Energy

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