Conferences related to IEEE Systems Journal

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2020 IEEE Power & Energy Society General Meeting (PESGM)

The Annual IEEE PES General Meeting will bring together over 2900 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutorials and more


2019 IEEE 15th International Conference on Control and Automation (ICCA)

The 15th IEEE International Conference on Control and Automation (IEEE ICCA 2019) will be held Tuesday through Friday, July 16-19, 2019, in Edinburgh, Scotland. The conference is jointly organized by IEEE Control Systems Chapter, Singapore, and IEEE Control Chapter for United Kingdom and Ireland. It is technically sponsored by IEEE Control Systems Society. It aims to create a forum for scientists and practising engineers throughout the world to present the latest research findings and ideas in the areas of control and automation, and possible contributions toward sustainable development and environment preservation. The conference is featured with the Best Paper Award and the Best Student Paper Award.


2018 IEEE 13th Annual International Conference on Nano/Micro Engineered and Molecular Systems (NEMS)

The IEEE-NEMS is a premier conference series sponsored by the IEEE Nanotechnology Council focusing on the promotion of advanced research areas related to MEMS, nanotechnology, and molecular technology. Prior conferences were held in Los Angeles (USA,2017), Matsushima Bay and Sendai (Japan, 2016), Xian (China, 2015), Hawaii (USA, 2014), Suzhou (China, 2013), Kyoto (Japan, 2012), Kaohsiung (Taiwan, 2011), Xiamen (China, 2010), Shenzhen (China, 2009), Hainan Island (China, 2008), Bangkok (Thailand, 2007), and Zhuhai (China, 2006). The IEEE-NEMS Conference typically attracts over 600 attendees with participants from more than 20 countries and regions worldwide.


2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS)

Systems and networking


2017 33rd Symposium on Mass Storage Systems and Technologies (MSST)

The conference is a venue for massive-scale storage system designers and implementers, storage architects and researchers, to share best practices and discuss building and securing the world's largest storage systems for high-performance computing, web-scale systems, and enterprises.


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Periodicals related to IEEE Systems Journal

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Circuits and Systems II: Express Briefs, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


Display Technology, Journal of

This publication covers the theory, design, fabrication, manufacturing and application of information displays and aspects of display technology that emphasize the progress in device engineering, device design, materials, electronics, physics and reliabilityaspects of displays and the application of displays.


Education, IEEE Transactions on

Educational methods, technology, and programs; history of technology; impact of evolving research on education.


Electrical and Computer Engineering, Canadian Journal of

The Canadian Journal of Electrical and Computer Engineering, issued quarterly, has been publishing high-quality refereed scientific papers in all areas of electrical and computer engineering since 1976. Sponsored by IEEE Canada (The Institute of Electrical and Electronics Engineers, Inc., Canada) as a part of its role to provide scientific and professional activity for its members in Canada, the CJECE complements ...


Information Forensics and Security, IEEE Transactions on

Research on the fundamental contributions and the mathematics behind information forensics, information seurity, surveillance, and systems applications that incorporate these features.


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Most published Xplore authors for IEEE Systems Journal

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Xplore Articles related to IEEE Systems Journal

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Dynamic Complexity Measures for Use in Complexity-Based System Design

IEEE Systems Journal, 2017

Difficulty predicting system behaviors introduces a certain level of complexity to a system design. The INCOSE systems engineering handbook indicates that system complexity is one of the seven key challenges influencing development when engineering a system of systems. The scope of this paper is first to survey systems engineering relevant definitions of complexity for latter application to the complexity evaluation ...


Erratum

IEEE Systems Journal, 2009

None


Special Issue on Cognitive-Inspired Network Systems

IEEE Systems Journal, 2016

The eight papers in this special issue focus on cognitive inspired networked applications. Cognition is emerging as a new and promising methodology with the development of cognitive-inspired computing, ubiquitous networks, and systems, which has the potential to enable a large class of applications. However, recent advances, such as interference alignment, collaborative communications, and cognitive computational theory, make us lack a ...


Robust Mobile Location Estimation in NLOS Environment Using GMM, IMM, and EKF

IEEE Systems Journal, None

Indoor mobile localization in real-life scenarios often suffers from frequent transitions of sensor measurements between line-of-sight (LOS), non-line-of- sight (NLOS), and/or mixed LOS and NLOS conditions (LOS-NLOS). To address this, we propose GIMM-EKF by integrating Gaussian mixture model (GMM), interacting multiple model (IMM), and extended Kalman filter (EKF). In GIMM- EKF, GMM aims at modeling the distribution of a set ...


Impact Analysis of Wind Farms in the Jeju Island Power System

IEEE Systems Journal, 2012

This paper presents modeling and impact analysis of wind farms in Jeju island power system, which is made of wind farms, a current source-type high-voltage, direct current (HVDC) system, and thermal power plants. In this paper, four kinds of major components are modeled: a total of 88 MW wind farms, a 300 MW HVDC system, thermal power plants, and the ...


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Educational Resources on IEEE Systems Journal

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IEEE-USA E-Books

  • Dynamic Complexity Measures for Use in Complexity-Based System Design

    Difficulty predicting system behaviors introduces a certain level of complexity to a system design. The INCOSE systems engineering handbook indicates that system complexity is one of the seven key challenges influencing development when engineering a system of systems. The scope of this paper is first to survey systems engineering relevant definitions of complexity for latter application to the complexity evaluation framework. The literature search also includes state-of-the-art works on system complexity measurement. Before proposing new techniques, the current complexity-based system, and interface measurement and design techniques are explored. As the state-of-the-art only includes static/structural complexity quantification, entropy-based measures for dynamic complexity quantification are proposed. A sample system is evaluated using the proposed dynamic complexity measures and the results are discussed. The methods proposed herein provide a first step in the path to an enhanced system/interface complexity evaluation framework using dynamic complexity measures.

  • Erratum

    None

  • Special Issue on Cognitive-Inspired Network Systems

    The eight papers in this special issue focus on cognitive inspired networked applications. Cognition is emerging as a new and promising methodology with the development of cognitive-inspired computing, ubiquitous networks, and systems, which has the potential to enable a large class of applications. However, recent advances, such as interference alignment, collaborative communications, and cognitive computational theory, make us lack a clear understanding of analytical cognitive-inspired computing, networks, and systems, as well as best practices, to design resource-efficient, utility, pervasive, scalable, and autonomy oriented cognitive systems and applications. The objective of this special Issue is to bring together state-of-the-art research contributions that address these key aspects of cognitive inspired network systems and applications.

  • Robust Mobile Location Estimation in NLOS Environment Using GMM, IMM, and EKF

    Indoor mobile localization in real-life scenarios often suffers from frequent transitions of sensor measurements between line-of-sight (LOS), non-line-of- sight (NLOS), and/or mixed LOS and NLOS conditions (LOS-NLOS). To address this, we propose GIMM-EKF by integrating Gaussian mixture model (GMM), interacting multiple model (IMM), and extended Kalman filter (EKF). In GIMM- EKF, GMM aims at modeling the distribution of a set of mixed LOS-NLOS range estimates. Then, a Kalman-based IMM framework is introduced with the estimated state probabilities from the GMM. Finally, an EKF is employed to estimate the target’s location based on the resulting range estimates. The proposed GIMM- EKF works in a synergistic manner and outperforms several challenging baselines significantly. Experimental results demonstrate the feasibility of GIMM-EKF in mitigating the adverse impacts of severe NLOS errors and accurately estimating the mobile location in the LOS/NLOS/LOS-NLOS transition conditions.

  • Impact Analysis of Wind Farms in the Jeju Island Power System

    This paper presents modeling and impact analysis of wind farms in Jeju island power system, which is made of wind farms, a current source-type high-voltage, direct current (HVDC) system, and thermal power plants. In this paper, four kinds of major components are modeled: a total of 88 MW wind farms, a 300 MW HVDC system, thermal power plants, and the Jeju power system load. To analyze the impact of the wind power generation to the Jeju power system, simulation is carried out for two case studies by using the PSCAD/EMTDC program. One is for the steady-state operation under different wind speed, and the other is for the transient-state operation when all wind farms are disconnected suddenly from the Jeju power grid due to the wind speed higher than the rated value. These comparative studies have been effective in accessing the impact of wind power generation on the Jeju island power system stability.

  • State-Based Uplink-Scheduling Scheme for Reducing Control Plane Latency of MCPTT Services

    This paper addresses an uplink (UL) scheduling issue that arises in the midst of the recent trend in applying the commercial long term evolution (LTE) technology to public safety. Mission critical push-to-talk (MCPTT), which specifies a group communication service over LTE in public-safety scenarios, needs to satisfy the requirements of extremely short latency for its control procedures. We herein propose a practical UL-scheduling scheme, which can be feasible in the LTE system to shorten the time for the initial UL transmissions. Through the empirical assessment conducted on our LTE-based MCPTT testbed, the proposed scheme is validated to reduce the control plane latency with the little increment of implementation complexity.

  • Fast Coupled Retransmission for Multipath TCP in Data Center Networks

    Multipath TCP (MPTCP) is emerging as a new potential candidate that replaces the existing single-path TCP (SPTCP). One applicable area of MPTCP is cloud data center networks, where multiple paths are often available between servers. However, it is observed that MPTCP may not fully leverage the multiple paths and sometimes perform even worse than SPTCP, especially for time-sensitive short flows in data center networks. To address this challenge, we propose a fast coupled retransmission mechanism for MPTCP. The key observation is that one of the paths is likely to be congested if an out-of- order packet exists even after all data packets have been transmitted. In this case, we forward the data packets from the congested path onto the noncongested path and quickly retransmit them. This mechanism effectively avoids network congestion and, hence, helps reduce the overall flow completion time. We implement the proposed scheme in the Linux kernel and evaluate it on our real data center testbed, and the results show that our proposal significantly outperforms the existing schemes.

  • Deep Learning Based Transmit Power Control in Underlaid Device-to-Device Communication

    In this paper, a means of transmit power control for underlaid device-to- device (D2D) communication is proposed based on deep learning technology. In the proposed scheme, the transmit power of D2D user equipment (DUE) is autonomously learned via a deep neural network such that the weighted sum rate (WSR) of DUEs can be maximized by considering the interference from cellular user equipment. Unlike conventional transmit power control schemes in which complex optimization problems have to be solved in an iterative manner, which possibly requires long computation time, in our proposed scheme the transmit power can be determined with a relatively low computation time. Through simulations, we confirm that the proposed scheme achieves a sufficiently high WSR with a sufficiently low computation time.

  • An Efficient Privacy-Friendly Hop-by-Hop Data Aggregation Scheme for Smart Grids

    The fine-grained and large number of measurements collected by smart meters can be used to reconstruct consumer behavior, and thus their widespread deployment for the modernization of electricity distribution networks has been associated with privacy concerns. This paper proposes an efficient and privacy-friendly hop-by-hop data aggregation scheme and a billing solution for smart grid systems. In our approach, hop-by-hop communication is utilized for transmitting usage reports of the smart meters. From the outcome of the security and performance analyses we can argue that our proposed scheme is secure and computationally more efficient, as compared to the other solutions.

  • Corrections to “Agent-Based Control Framework for Mass Customization Manufacturing With UHF RFID Technology”

    Corrections were made to Table 1 in the above titled paper (ibid, Vol. 3, no 3, 343-359 Sept 09).



Standards related to IEEE Systems Journal

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IEEE Standard Test Method for Use in the Evaluation of Message Communications Between Intelligent Electronic Devices in an Integrated Substation Protection, Control and Data Acquisition System

This standard will define standard communication test scenarios for messages to be exchanged between electrical power substation intelligent electronic devices (IEDS). The scenarios will define message transactions between applications within the substation and between substation IEDs and remotely located applications. The scenarios will not specify the communication protocol required to implement the transactions.



Jobs related to IEEE Systems Journal

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