212 resources related to System Resiliency
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The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore
Promote the exchange of ideas between academia and industry in the field of computer and networks dependability
EDA (Electronics Design Automation) is becoming ever more important with the continuous scaling of semiconductor devices and the growing complexities of their use in circuits and systems. Demands for lower-power, higher-reliability and more agile electronic systems raise new challenges to both design and design automation of such systems. For the past five decades, the primary focus of research track at DAC has been to showcase leading-edge research and practice in tools and methodologies for the design of circuits and systems.
The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2019, the 26th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.
2019 IEEE International Symposium on Information Theory (ISIT)
Information theory and coding theory and their applications in communications and storage, data compression, wireless communications and networks, cryptography and security, information theory and statistics, detection and estimation, signal processing, big data analytics, pattern recognition and learning, compressive sensing and sparsity, complexity and computation theory, Shannon theory, quantum information and coding theory, emerging applications of information theory, information theory in biology.
The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...
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.
IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...
2016 IEEE Power and Energy Society General Meeting (PESGM), 2016
The gravity of power system resilience attracts growing attention in recent years. This paper proposes a sequential resilience operation methodology to continuously make correction decisions when the system suffers from hurricane. At first, the outage model of the system during hurricane is introduced. With the ensuing generated outage data as the input, the sequential resilience operation methodology, based on model ...
2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS), 2017
Electricity grid complexity with its diverse critical infrastructures has been continuously evolved into a more complicated network that is vulnerable to unpredictable hazards of internal and external origins. Resiliency assessment of the large-scale smart electricity grids has recently attracted many attentions in electric industry for more efficient daily operations in face of emergencies. This paper aims to quantify the power ...
2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2014
Contract-based design (CBD) employs formalisms that explicitly define system requirements, constraints, and interfaces. This paper explores a contract- based design paradigm for expressing system resiliency features. Specifically, resilience formalisms are defined in terms of invariant and flexible assertions. A flexible assertion is one that is learned during system operation and can accommodate unpredicted system behaviors. Invariant assertions are fixed system ...
2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2), 2018
With the penetration of smart grid technologies, the reliability and stability of modern power systems could be further improved. However, large-scale power outages could still be caused when the power system is exposed to extreme conditions. The utilization of distributed generators (DGs) has risen significantly in the power system, and it plays a critical role to modernize the current power ...
2017 IEEE IAS Electrical Safety Workshop (ESW), 2017
Sever weather condition together with other natural catastrophes can danger lives, disable communities, and disrupt electric utilities' generation, transmission and distribution systems. An incident at a high-voltage transmission line may results in more significant cascading failure if appropriate safety measured contingency schemes are not well developed or not achievable by system operators, in the case of these unpredictable events the ...
Trung Tran: Opening Keynote: WF IoT 2016
IMS 2012 Microapps - System Simulation Featuring Signal Processing Blocks
IMS 2012 Microapps - RF System Design: Moving Beyond a Linear Datasheet
IMS 2012 Microapps - Virtual Flight Testing of Radar System Performance Daren McClearnon, Agilent EEsof
APEC Speaker Highlights - Doug Hopkins, University of Buffalo, Power Electronics/Smart-Grid
An FPGA-Quantum Annealer Hybrid System for Wide-Band RF Detection - IEEE Rebooting Computing 2017
CES 2008: The first Works with iPhone Speaker and Dock
IMPASS: Intelligent Mobility Platform with Active Spoke System
Brooklyn 5G Summit: Critical Modeling Aspects and Their Effect on System Design and Performance
Flood or Hurricane Protection?: The New Orleans Levee System and Hurricane Katrina
GEOSS for BIODIVERSITY -A demonstration of the GEOSS Common Infrastructure capabilities
Overview of Lawrence Livermore National Laboratory Campus Power System
Tapping the Computing Power of the Unconscious Brain
Robot Redux: Lego's Mindstorms NXT in action
CES 2008: Whirlpool Lets You Geek Out Your Refrigerator
The DLR MiroSurge, a Robotic System for Surgery
Brain Inspired Computing Systems - Luping Shi: 2016 International Conference on Rebooting Computing
CES 2008: Ford and Sirius Team Up for In-Car Navigation
"ITRS 2.0 and Its System Drivers: Focus on Systems Trends and 'MTM' (Rebooting Computing)
The gravity of power system resilience attracts growing attention in recent years. This paper proposes a sequential resilience operation methodology to continuously make correction decisions when the system suffers from hurricane. At first, the outage model of the system during hurricane is introduced. With the ensuing generated outage data as the input, the sequential resilience operation methodology, based on model predictive control, is proposed. The system resiliency is continuously enhanced with the operation decisions. At last, the coherent risk measure is adopted to quantify the risk of system loss. Moreover, an illustrated case based on IEEE 30 bus system is provided to show the efficiency of the methodology.
Electricity grid complexity with its diverse critical infrastructures has been continuously evolved into a more complicated network that is vulnerable to unpredictable hazards of internal and external origins. Resiliency assessment of the large-scale smart electricity grids has recently attracted many attentions in electric industry for more efficient daily operations in face of emergencies. This paper aims to quantify the power system resiliency in dealing with grid severe vulnerabilities and extreme emergencies. The suggested approach for resiliency improvement is to harness the existing system infrastructure, with minimum additional cost, through transmission network reconfiguration. The applied concept of reconfiguration is predictively planned and used as a temporary operation mechanism for the main sake of electricity outage recovery. The system resiliency features, e.g., flexibility, capacity recovery and the imposed cost indices, are quantified for each optimal reconfiguration option, helping the system operators evaluate the recovery options and decide on the final plan for implementation considering its impacts on system resiliency requirements. The suggested approach is tested on the IEEE 118-Bus test system under a critical contingency and the results reveal its applicability and efficiency.
Contract-based design (CBD) employs formalisms that explicitly define system requirements, constraints, and interfaces. This paper explores a contract- based design paradigm for expressing system resiliency features. Specifically, resilience formalisms are defined in terms of invariant and flexible assertions. A flexible assertion is one that is learned during system operation and can accommodate unpredicted system behaviors. Invariant assertions are fixed system constraints that are known a priori. A general model structure comprising four key features that contribute to system resilience is presented. In particular, the concept of flexible contracts is operationalized using the Hidden Markov Model (HMM) construct. A system architecture based on flexible contracts and lightweight error monitoring and resiliency response mechanisms is also presented. The proposed framework can serve as a testbed to experiment with different systems resiliency approaches.
With the penetration of smart grid technologies, the reliability and stability of modern power systems could be further improved. However, large-scale power outages could still be caused when the power system is exposed to extreme conditions. The utilization of distributed generators (DGs) has risen significantly in the power system, and it plays a critical role to modernize the current power grid. The emerging smart grid technology, which attempts to enable more resilient power systems with DGs, makes a quick and efficient restoration of power systems possible. In this paper, DGs are introduced to enhance the restoration efficiency and success rate at the preliminary stage of network restoration. Then, the effect of DG's switching in points on areas of restoration islands in distribution network is investigated. Furthermore, based on the topological characteristics of scale-free networks and the discrete particle swarm optimization (DPSO) algorithm, an islanding scheme which aims to restore as many important loads as possible is proposed. The DGs are turned out to be effective resiliency resources for power system restoration. This paper will provide some useful insight into enhancing the power system resiliency in the face of extreme events such as natural or man- made disasters.
Sever weather condition together with other natural catastrophes can danger lives, disable communities, and disrupt electric utilities' generation, transmission and distribution systems. An incident at a high-voltage transmission line may results in more significant cascading failure if appropriate safety measured contingency schemes are not well developed or not achievable by system operators, in the case of these unpredictable events the loss of multiple substations and lines would result in the loss of electricity to millions of customers. Many strategic utilities which their functionality heavily depend on the continual existence of electricity might fall in the major hassle. Since, restoration or repair of the failed components may take days to weeks, depending on the ability to bypass damaged substations or disrupted lines using the built-in resilience of the interconnected grid, having a proper resilience-based strategy in face of extreme weather is of great importance.
Resiliency (resilience) is one of the important criteria for evaluating the sturdiness of systems. The resiliency is generally defined as the ability of resistance from disturbance that is caused by sudden changes of system configuration. However, there is no formal quantitative definition of system resiliency. In this paper, we propose the quantification of system resiliency by using continuous time Markov chains (CTMCs). According to probabilistic models, we formulate the quantification resiliency for performance indices of the system by two methods. Also, we discuss the applicability of our quantification of resiliency and compare the effectiveness of two definitions through numerical examples.
In the safety-critical environment of air traffic control, increases in system efficiency in the form of cost, capacity, and safety are primary drivers for integrating automated decision support tools (DSTs) into the National Airspace System (NAS). However, increased use of automation brings new concerns, including the impact on operator situation awareness, over- or under-reliance on automation, and the ability of the system to recover to a suitable performance level when faced with degradation or off-nominal situations. Such effects may create a brittle system-one that performs well under normal conditions but poorly when faced with degraded or adverse situations. As automated tools become critical components in air traffic management, it will be necessary to have clear guidelines to aid the development of human-computer systems to protect against system brittleness. This work identifies key factors that contribute to human-system resiliency and proposes a series of relationships between these factors to provide a framework for guiding the development of system resiliency requirements in the context of air traffic management. The identification of such relationships will facilitate the development of guidance intended to help stakeholders proactively incorporate resiliency into human-automation systems that are being developed currently and in the future as part of the NextGen air traffic modernization effort.
Improving Distribution System Resiliency will take considerable time, effort and innovation. Much of the effort is dependent upon modernizing the grid. All of the stakeholders involved in this effort are aware that grid modernization is an expensive and complex endeavor, and where this endeavor has many conflicting interests and goals. Yet numerous organizations and associations have begun the effort in earnest providing the nation with lessons learned and well thought out recommendations. Starting with design, there are many construction standards and inspection and maintenance programs that prepare the system for storms. Beyond this, there are many other programs such as vegetation management, damage assessment, application of communications and other technology, to name just a few, that will be part of any comprehensive distribution resiliency effort. This article will outline a distribution resiliency roadmap, identifying critical pieces of such an effort.
We describe ongoing work to increase trust in resilient software systems. Automated software repair techniques promise to increase system resiliency, allowing missions to continue in the face of software defects. While a number of program repair approaches have been proposed, the most scalable and applicable of those techniques can be the most difficult to trust. Using approximate solutions to the oracle problem, we consider three approaches by which trust can be re-established in a post-repair system. Each approach learns or infers a different form of partial model of correct behavior from pre-repair observations; post-repair systems are evaluated with respect to those models. We focus on partial oracles modeled from external execution signals, derived from similar code fragment behavior, and inferred from invariant relations over local variables. We believe these three approaches can provide an expanded assessment of trust in a repaired, resilient system.
This article consists of a collection of slides from the author's conference presentation.
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