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检索条件"任意字段=International Conference on Parallel Distributed and Grid Computing"

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STFT Filter Bank Based Islanding Detection Technique

STFT Filter Bank Based Islanding Detection Technique

引用

2023 IEEE international conference on Power Electronics, Smart grid, and Renewable Energy, PESGRE 2023

作者： Pinto, James Antony Vittal, K.P. National Institute of Technology Surathkal India Manipal Academy of Higher Education Manipal India National Institute of Technology Dept. of Electrical & Electronics Engg. Surathkal India

ISBN: (纸本)9798350310573

Depleting coal reserves and increasing carbon emissions have propelled the use of renewable energy sources to generate electricity. Microgrids have been recognised as one of the solutions to provide continuity of power to critical loads even during natural disasters, as they can connect or disconnect from the main grid. The presence or absence of the grid is critical to the operation of the various inverter-based resources and load management in the Microgrid. Various active and passive methods have been proposed by researchers to detect islanding. This paper focuses on detecting the islanding condition based on the filter bank approach of Short Time Fourier Transform. The voltage at the interface of distributed generation was sensed and the amplitude of a particular frequency component was estimated using the filter bank approach. The estimated amplitude was then checked against a set threshold to detect islanding. The proposed islanding detection technique was tested and was found effective on a sample Microgrid for conditions like normal operation, operation during faults and operation during turning ON and OFF loads and sources. © 2023 IEEE.

关键词： distributed Generation Islanding Detection Microgrids Passive Islanding Detection

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Influence of the grid Resolutions on the Computer Simulated Air Quality Indices over the Territory of Bulgaria 14th

Influence of the Grid Resolutions on the Computer Simulated ...

引用

14th international conference on Large-Scale Scientific Computations (LSSC)

作者： Ivanov, Vladimir Gadzhev, Georgi Georgieva, Ivelina Ganev, Kostadin Miloshev, Nikolay Bulgarian Acad Sci Natl Inst Geophys Geodesy & Geog Acad G Bonchev StrBl 3 Sofia 1113 Bulgaria

ISBN: (纸本)9783031562075;9783031562082

The grid resolution would affect the pollution concentrations and thus on the Air Quality Indices (AQI) - a generalized assessment of the air quality impact on human health. Therefore, we made a numerical experiment for evaluation of the horizontal grid resolution impact on the simulated AQI over the territory of Bulgaria. We used a set of models used worldwide - WRF - the meteorological preprocessor, CMAQ - chemical transport model, SMOKE - emission model for performing computer simulations. The NCEP Global Analysis Data with a horizontal resolution of 1 degrees x 1 degrees are used as a background meteorological data used in the study. Using the "nesting" capabilities of the WRF and CMAQ models, a resolution of 9 km was achieved for the territory of Bulgaria, by sequentially solving the task in several consecutive, nested areas. The simulations were performed for three cases for grid and emission resolutions for the period 2008-2014, creating an ensemble large and comprehensive enough, reflects the most typical atmospheric conditions with their typical recurrence. The spatial/temporal distribution of the recurrence of the different AQI categories for Bulgaria are calculated. Comparing them for the above 3 cases makes it possible to evaluate the grid resolution impact.

关键词： air quality index modelling air pollution modelling emissions

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Strengthening Healthcare Cybersecurity by Optimizing Adversarial Attack Defences in Deep Learning Models using GPU and parallel Processing Technologies 7

Strengthening Healthcare Cybersecurity by Optimizing Adversa...

引用

7th international conference on Circuit Power and computing Technologies, ICCPCT 2024

作者： Venugopal, Hridya Christo, Mary Subaja Kattankulathur Campus SRM Institute of Science and Technology Department of Networking and Communications Tamilnadu Chengalpattu603203 India

ISBN: (纸本)9798350372816

In healthcare, safeguarding patient data integrity is paramount, necessitating robust deep learning models. This research focuses on bolstering the cyber security defenses of these models, particularly against adversarial attacks, through the application of the Localized Adversarial Feature Attack (LAFEAT) technique. Leveraging Graphics Processing Units (GPU) and the TensorFlow framework, the study explores algorithmic enhancements like the Fast Gradient Sign Method (FGSM) and Model-Agnostic Meta-Learning (MAML). These techniques perturb input data gradients or adapt model parameters, enhancing resilience against adversarial perturbations. Additionally, Particle Swarm Optimization (PSO), a metaheuristic optimization technique, is examined to fortify defense mechanisms further. parallel processing techniques, utilizing parallel GPU or distributed clusters, are implemented to expedite the optimization process, reducing computational burdens and enhancing scalability. Despite advancements, gaps remain in understanding how these models can be optimized for real-world healthcare applications, particularly in terms of balancing computational efficiency and robustness. The research demonstrates tangible benefits, with a significant 10% increase in success rates against adversarial attacks compared to baseline methods. Moreover, parallel processing implementation results in a 30% reduction in optimization time, improving the efficiency of cyber security defenses for deep learning models in healthcare. These numerical enhancements underscore the research's value in fortifying healthcare systems against adversarial threats, ensuring the security and integrity of patient data while addressing existing gaps in the optimization of adversarial defenses in healthcare applications. The strengths of this research lie in its robust adversarial attack optimization techniques, integration of parallel processing for efficiency, and application to critical healthcare tasks. Comprehensive

关键词： Graphics processing unit

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SpDISTAL: Compiling distributed Sparse Tensor Computations

SpDISTAL: Compiling Distributed Sparse Tensor Computations

引用

international conference for High Performance computing, Networking, Storage and Analysis (HPC)

作者： Yadav, Rohan Aiken, Alex Kjolstad, Fredrik Stanford Univ Stanford CA 94305 USA

ISBN: (纸本)9781665454445

We introduce SpDISTAL, a compiler for sparse tensor algebra that targets distributed systems. SpDISTAL combines separate descriptions of tensor algebra expressions, sparse data structures, data distribution, and computation distribution. Thus, it enables distributed execution of sparse tensor algebra expressions with a wide variety of sparse data structures and data distributions. SpDISTAL is implemented as a C++ library that targets a distributed task-based runtime system and can generate code for nodes with both multi-core CPUs and multiple GPUs. SpDISTAL generates distributed code that achieves performance competitive with hand-written distributed functions for specific sparse tensor algebra expressions and that outperforms general interpretation-based systems by one to two orders of magnitude. © 2022 IEEE.

关键词： Computer Science Programming parallel Programming

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High-performance distributed Feature Storage and Consumption Services in Power grid Scenarios 8

High-performance Distributed Feature Storage and Consumption...

引用

8th IEEE international conference on Big Data Security on Cloud, 8th IEEE international conference on High Performance and Smart computing, and 8th IEEE international conference on Intelligent Data and Security, BigDataSecurity/HPSC/IDS 2022

作者： Wang, Guoqing Lu, Yiming Liu, Peng Zhou, Wang State Grid Shanghai Energy Interconnection Research Institute Beijing China Peking University Beijing China

ISBN: (纸本)9781665480697

As more and more services in the power grid introduce machine learning and deep learning technologies, feature engineering has become more and more complex. In order to improve the efficiency of feature engineering, this paper proposes a high-performance distributed feature storage and consumption service based on grid scenarios, referred to as HFSA (High-performance feature storage and access). HFSA designed a feature data storage and consumption platform with the help of the idea of message middleware. HFSA services include HFSA Cluster, Producer and Consumer. This article verifies whether the HFSA service meets the design requirements from three aspects: functional testing, accuracy testing and performance testing. The experimental results show that the HFSA service has complete functions and good performance, which basically solves the problem of characteristic storage and consumption of the power grid. © 2022 IEEE.

关键词： Middleware

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Fault Current Limiter and its Impact in PMSG based grid connected Three Phase System 3

Fault Current Limiter and its Impact in PMSG based Grid conn...

引用

3rd Odisha international conference on Electrical Power Engineering, Communication and computing Technology, ODICON 2024

作者： Mishra, Saswat Biswal, Gyan Ranjan Ray, Papia Vssut Dept of Eee Odisha Burla India

ISBN: (纸本)9798350354379

Modern day power systems have contributed to climatic change and reduced efficiency as a result of more utilization of conventional energy resources to match the increasing power demand. Hence grid systems that use distributed sources like wind and solar-based generating units are the recent areas of research. In last few decades, the size and power rating of wind turbines gradually increased with their performance efficiency. PMSG base wind conversion system has an advantage over classical DFIG based on compactness, heating, maintenance, and noise generation. It is very common to have abnormal conditions and faults due to high load demand, nowadays. As a result, a very high current is produced during fault and run through the power system which develops thermal and mechanical stress on power system equipment such as transformers, protecting devices etc. and causes heating. As the power system equipment is very expensive, their protection against this large current is very necessary. The fault in power system cannot eliminated but the harmful effect of fault can be lowered by limiting the current during fault period. To eliminate the issue of power system FCL is introduced which reduces fault current level within very little time before any protective device operates and increases power system stability. The proposed test model and results were designed using MATLAB/SIMULINK environment and the impact of model on fault current magnitude was verified. © 2024 IEEE.

关键词： Wind power

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A Systematic Technology Review of General-Purpose Open-Source TOSCA Orchestrators 16

A Systematic Technology Review of General-Purpose Open-Sourc...

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16th IEEE/ACM international conference on Utility and Cloud computing (UCC) / 10th IEEE/ACM international conference on Big Data computing, Applications and Technologies (BDCAT)

作者： Stoetzner, Miles Becker, Steffen Harzenetter, Lukas Leymann, Frank Weder, Benjamin Breitenbuecher, Uwe Kopp, Oliver Klein, Kevin Soldani, Jacopo Univ Stuttgart Inst Software Engn Stuttgart Germany Univ Stuttgart Inst Architecture Applicat Syst Stuttgart Germany Reutlingen Univ Herman Hollerith Zentrum Reutlingen Germany Univ Stuttgart Inst Parallel & Distributed Syst Stuttgart Germany Mercedes Benz AG Stuttgart Germany Univ Pisa Dept Comp Sci Pisa Italy

ISBN: (纸本)9798400702341

The manual deployment of applications distributed across the cloud, fog, and edge is error-prone and complex. TOSCA is a standard for modeling the deployment of cloud applications in a vendor-neutral and technology-independent manner that is also suitable for the fog and edge continuum. However, there exist various TOSCA orchestrators with different functionalities. Thus, selecting an appropriate TOSCA orchestrator requires technical expertise since all the available orchestrators must be analyzed regarding technical, functional, legal, and organizational requirements. In this paper, we tackle this issue and present a systematic technology review of TOSCA orchestrators. Our goal is to support project managers, developers, and researchers in selecting a suitable TOSCA orchestrator. For this, we select actively maintained general-purpose open-source TOSCA orchestrators. Moreover, we introduce the TOSCA Orchestrator Classification Framework and present a selection support system.

关键词： TOSCA Orchestrator Systematic Technology Review Classification Framework General-Purpose Open-Source

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Exploration of Coherent Detection Technology for 100G Optical Energy Signal under FPGA Design

Exploration of Coherent Detection Technology for 100G Optica...

引用

2023 international conference on Internet of Things, Robotics and distributed computing, ICIRDC 2023

作者： Chen, Jingjia Zhao, Jinhui Zhang, Zuoxing State Grid Hubei Electric Power Co.Ltd Hubei Province Wuhan430077 China State Grid Information&Communication Branch of Hubei epc. Hubei Province Wuhan430077 China State Grid Hubei Electric Power Co. Ltd. Maintenance Branch Hubei Province Wuhan430070 China

ISBN: (纸本)9798350375275

Major equipment manufacturers are increasing their research and development investment, and have successively launched solutions for 100G (Gigabyte) fiber optic transmission systems. However, the 100G DP-QPSK (Dual-polarization Quadrature Phase Shift Keying) optical transmission system is an ultra long distance transmission project, and its implementation is very difficult. This article provided a detailed explanation of the specific modulation and coherent reception theory of DP-QPSK, and briefly explored its application in the digital domain. This article provided the hardware design of the coherent detection system, including the overall design of the system, power supply design, clock design, monitoring design, etc. It focused on the core power design of DSP (Digital Signal Process), the design of RF (Radio Frequency) analog-to-digital converter clock, and the design of DSP clock. In different rounds of testing, the bit error rate was 0.09% for the 10th round and 0.06% for the 20th round. This article laid a solid foundation for the research on high-precision clock design and FPGA (Field Programmable Gate Array) design of high-speed analog-to-digital converters. © 2023 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Simulation of Distribution Terminal Automation Joint Debugging Model Based on Machine Learning Algorithm

Simulation of Distribution Terminal Automation Joint Debuggi...

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2023 international conference on Internet of Things, Robotics and distributed computing, ICIRDC 2023

作者： Huang, Lei Zhou, Zhongqiang Liu, Ying Mei, Jiaxin Wu, Peng Guizhou Power Grid Limited Liability Company Tongren Power Supply Bureau Guizhou Tongren554300 China Guizhou Power Grid Co. Ltd. Guizhou Guiyang550000 China

ISBN: (纸本)9798350375275

In the increasingly advanced environment of technology, the power distribution network is gradually developing towards automation, and the functions of its distribution automation terminal equipment are also becoming more and more complete. Distribution automation, as an important part of China's smart grid construction, plays an important role in improving the production, operation and management level of the distribution network. From the perspective of power construction, the application of distribution automation equipment in the growth of power systems is an inevitable trend in the information society. The research on distribution automation terminal equipment is of crucial significance for the growth of power distribution network automation. At present, the joint debugging between distribution terminals and the main station relies on manual completion. However, with the increasing quantity of distribution terminals, the efficiency of joint debugging is becoming lower and the standardization level is not high. Based on this, this article constructs a distribution terminal automation joint debugging model based on machine learning algorithms to improve work efficiency and facilitate the promotion and application of distribution automation. The simulation results show that the model can achieve important functions such as monitoring the operation status of the distribution network, automatic fault isolation, and fast power restoration, improving the power supply reliability of the distribution network. © 2023 IEEE.

关键词： Electric power distribution

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Collaborative, distributed, Scalable and Low-Cost Platform Based on Microservices, Containers, Mobile Devices and Cloud Services to Solve Compute-Intensive Tasks 27th

Collaborative, Distributed, Scalable and Low-Cost Platform B...

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27th international European conference on parallel and distributed computing (Euro-Par)

作者： Petrocelli, David De Giusti, Armando Naiouf, Marcelo La Plata Natl Univ Comp Sci Sch La Plata Argentina Lujan Natl Univ Lujan Buenos Aires Argentina La Plata Natl Univ CIC PBA Comp Sci Inst Invest Informat LIDI III LIDI La Plata Argentina CONICET Natl Council Sci & Tech Res Buenos Aires DF Argentina

ISBN: (纸本)9783031061561;9783031061554

When solving compute-intensive tasks, CPU/GPU hardware resources and specialized grid, Custer, Cloud infrastructure are commonly used to achieve high performance. However, this requires a high initial capital expense and ongoing maintenance costs. In contrast, ARM-based mobile devices regularly see improvement in their capacity, stability, and processing power daily while becoming ever more ubiquitous and requiring no massive capital or operating expenditures thanks to their reduced size and energy efficiency. Given this shifting computer paradigm, it is conceivable that a cost- and power-efficient solution for our world's HPC processing tasks would include ARM-based mobile devices, while they are idle during recharging periods. We proposed, developed, deployed and evaluated a distributed, collaborative, elastic and low-cost platform to solve HPC tasks recycling ARM mobile resources based on Cloud, microservices and containers, efficiently orchestrated via Kubernetes. To validate the system scalability, flexibility, and performance a lot of concurrent video transcoding scenarios were run. The results showed the system allows for improvements in terms of scalability, flexibility, stability, efficiency, and cost for HPC workloads.

关键词： Kubernetes Containers Video transcoding Microservices Cloud computing Mobile computing distributed and collaborative computing

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