检索结果-内蒙古大学图书馆

21st international conference on Harmonics and Quality of Power

作者： Liang, Xiaorui Zhang, Huaying Kuang, Guochen Xie, Weijie Liu, Zijun Guo, Qi China Southern Power Grid Shenzhen Power Supply Co Ltd Shenzhen Guangdong Peoples R China Hunan Univ Natl Elect Power Convers & Control Engn Technol R Changsha Hunan Peoples R China

ISBN: (纸本)9798350382570;9798350382563

Considering the quality of the output voltage, the distributed power supply needs to have a certain power quality control ability when the unbalanced fault occurs. In response to this requirement, this paper proposes a parallel system. An inverter is placed at the common coupling point of the main circuit and the power grid as an external device for fault ride-through when a serious fault drop. During normal operation, the parallel inverter does not operate, and the main circuit inverter outputs active power. Under asymmetric fault conditions, the parallel inverter injects reactive power to the common coupling point to limit AC current and grid voltage support. Firstly, the power model of the inverter under asymmetric conditions is analyzed in the first part. Then, the power quality management and capacity optimization strategy of the parallel system are described. Finally, the waveform results show the correctness and superiority of the capacity optimization strategy.

关键词： parallel system Unbalanced fault crossing Capacity optimization Voltage drop distributed power supply

来源：评论

学校读者我要写书评

暂无评论

Mathematical modeling and problem solving: from fundamentals to applications

引用

JOURNAL OF SUPERcomputing 2024年第10期80卷 14116-14119页

作者： Ohue, Masahito Sasayama, Kotoyu Takata, Masami Tokyo Inst Technol Sch Comp Dept Comp Sci Yokohama Kanagawa 2268501 Japan Mitsubishi Elect Bldg Solut Corp Elevator & Escalator Dev Dept Aichi 4928682 Japan Nara Womens Univ Res Grp Informat & Commun Technol Life Nara 6308506 Japan

The rapidly advancing fields of machine learning and mathematical modeling, greatly enhanced by the recent growth in artificial intelligence, are the focus of this special issue. This issue compiles extensively revised and improved versions of the top papers from the workshop on Mathematical Modeling and Problem Solving at PDPTA'23, the 29th international conference on parallel and distributed Processing Techniques and Applications. Covering fundamental research in matrix operations and heuristic searches to real-world applications in computer vision and drug discovery, the issue underscores the crucial role of supercomputing and parallel and distributed computing infrastructure in research. Featuring nine key studies, this issue pushes forward computational technologies in mathematical modeling, refines techniques for analyzing images and time-series data, and introduces new methods in pharmaceutical and materials science, making significant contributions to these areas.

关键词： Mathematical modeling Machine learning parallel and distributed computing Drug discovery and materials science

来源：评论

学校读者我要写书评

暂无评论

Machine Learning-empowered Network Measurement: A Critical Path to Traffic Anomaly Detection in IoT-enabled Smart grid 30

Machine Learning-empowered Network Measurement: A Critical P...

引用

30th IEEE international conference on parallel and distributed Systems, ICPADS 2024

作者： Zang, Hongrui Liu, Hongbo Sun, Wei Zhang, Guangyuan Kong, Xiangyu State Grid Jilin Electric Power Company Limited Communication Company Branch Changchun China Dalian University of Technology School of Computer Science and Technology Dalian China

ISBN: (纸本)9798331515966

Large-scale deployment of Internet of Things (IoT) devices provides efficient data collection and control capabilities in the smart grid, while edge computing plays a key role in increasing the speed of data processing and reducing latency. The growth of edge computing in the smart grid is inevitably increasing the stability requirement in network transmission and the necessity of adequate network measurement to detect traffic anomalies. There are two challenges for measurement in IoT-enabled networks. The first challenge is the high processing speed and limited memory space. The second challenge is the varying network traffic. This paper studies how to use sketch techniques to fulfill the required capabilities of network measurement. Sketches have been considered as the most promising solution for network measurement in recent years, because they greatly optimize the speed and memory usage at the cost of small error. However, most sketches do not work well for varying network traffic. These sketches require to adjust their internal memory usage while the optimal point is sensitive to specified flow size distribution and memory size. To address this problem, we propose a machine learning empowered sketch framework. The proposed sketch framework trains a neural network model that online adjusts the memory usage based on a small sample of flow. We conduct data-driven simulations to evaluate the proposed framework. By comparing measurement results on public dataset, we can see that the proposed framework significantly improves the accuracy of measurement and anomaly detection without sacrificing the line-rate processing capability. © 2024 IEEE.

关键词： Edge computing

来源：评论

学校读者我要写书评

暂无评论

Topology Identification Technology for Low-voltage distributed Photovoltaic Distribution Network Lines 3

Topology Identification Technology for Low-voltage Distribut...

引用

3rd international conference on Energy and Electrical Power Systems (ICEEPS)

作者： Zheng, Guoquan Zhu, Enguo Zhang, Hailong Liu, Yan Wang, Junlong Liu, Zhe China Elect Power Res Inst Beijing Peoples R China State Grid Hebei Elect Power Beijing Peoples R China

ISBN: (纸本)9798350375145;9798350375138

The large-scale penetration of distributed photovoltaic (PV) power generation systems has brought new challenges to the topology identification and detection of traditional distribution networks. This article mainly studies the topology identification technology (TIT) of distributed PV low-voltage (LV) distribution network lines, aiming to design a topology identification method that can adapt to the dynamic changes of the power grid, have large-scale capacity, and improve system accuracy under the same conditions. At the same time, the data processing speed has been improved. This article first constructs a system model, including node model, edge model, and parameter model. It mathematically represents the topology structure of the power grid using graph theory and designs a topology recognition algorithm based on optimization techniques and state estimation. This algorithm is used to solve the distributed characteristics of power grid topology recognition, the difficulty of data collection, the dynamic diversity of power grid structure, the uncertainty of equipment parameters, the high computational complexity of data processing, and the communication constraints of power grid topology recognition. This algorithm adopts modern programming languages and parallel computing frameworks, making it easy to implement efficiently. The results on the simulation platform show that the highest recall rate for 22 test cases is 93.8%, and the response time for test cases is 425 ms to 980 ms, providing a fast response to the information space of the grid.

关键词： Low-voltage distributed Photovoltaic Distribution Network Topology Identification Technology Simulation Platform Recall Ratio

来源：评论

学校读者我要写书评

暂无评论

Loss Sensitivity Calculation and Analysis Based on Graph computing 9

Loss Sensitivity Calculation and Analysis Based on Graph Com...

引用

9th international conference on Power and Renewable Energy

作者： Wu, Yuezhou Yang, Tianlin Lu, Jiangang Guo, Wenxin Zhao, Ruifeng Tan, Huijuan Guangdong Power Grid Co Ltd Power Dispatching Control Ctr Kaiping City Guangdong Peoples R China

ISBN: (纸本)9798350377477;9798350377460

Loss sensitivity in electricity systems refers to the responsiveness of power losses in electrical transmission and distribution networks to various influencing factors. This concept is critical for optimizing the efficiency and reliability of power delivery from generation sources to end consumers. Especially in the electricity market trading process, network losses, although only a small part of the total cost, have a significant impact on each specific transaction and grid user. Therefore, in-depth understanding and analysis of the impact of generation transactions on the grid network loss can provide a basis for the power purchase plan for the grid to provide reference for the grid network loss management, which is of great significance. The current mainstream calculation and analysis method for network loss sensitivity is the marginal loss coefficient method, which determines the network loss share of each bus by analyzing the impact of bus injected power on the total network loss changes, but the nature of its serial calculation cannot properly solve the balance between real-time analysis of network loss optimization and accuracy, and with the increase in system size, this problem has gradually become a major obstacle to the realization of real-time analysis. This paper presents a novel parallel computing method based on graph computing for determining the sensitivity of system network loss and node-injected power. Graph computing is a parallel computing method that stores, computes, and analyzes the information in a system by constructing a topological graph model and based on it. The method alleviates the computational burden associated with calculating network loss sensitivity as the scale of the power system expands by leveraging the parallel computing capabilities of graph databases. Furthermore, it facilitates the graphical calculation and analysis of network loss sensitivity through the utilization of graph storage.

关键词： Loss Sensitivity Graph computing Generators Loss Sensitivity Loads Loss Sensitivity Flexible Load

来源：评论

学校读者我要写书评

暂无评论

distributed-Memory parallel Algorithms for Sparse Matrix and Sparse Tall-and-Skinny Matrix Multiplication 24

Distributed-Memory Parallel Algorithms for Sparse Matrix and...

引用

2024 international conference for High Performance computing, Networking, Storage and Analysis

作者： Ranawaka, Isuru Hussain, Md Taufique Block, Charles Gerogiannis, Gerasimos Torrellas, Josep Azad, Ariful Indiana Univ Bloomington IN 47405 USA Univ Illinois Champaign IL USA

ISBN: (数字)9798350352917

ISBN: (纸本)9798350352924;9798350352917

We consider a sparse matrix-matrix multiplication (SpGEMM) setting where one matrix is square and the other is tall and skinny. This special variant, TS-SpGEMM, has important applications in multi-source breadth-first search, influence maximization, sparse graph embedding, and algebraic multi-grid solvers. Unfortunately, popular distributed algorithms like sparse SUMMA deliver suboptimal performance for TS-SpGEMM. To address this limitation, we develop a novel distributed-memory algorithm tailored for TS-SpGEMM. Our approach employs customized 1D partitioning for all matrices involved and leverages sparsity-aware tiling for efficient data transfers. In addition, it minimizes communication overhead by incorporating both local and remote computations. On average, our TS-SpGEMM algorithm attains 5x performance gains over 2D and 3D SUMMA. Furthermore, we use our algorithm to implement multi-source breadth-first search and sparse graph embedding algorithms and demonstrate their scalability up to 512 Nodes (or 65,536 cores) on NERSC Perlmutter.

关键词： Three-dimensional displays Shape Scalability Performance gain Data transfer Partitioning algorithms Sparse matrices distributed algorithms parallel algorithms Optimization

来源：评论

学校读者我要写书评

暂无评论

Move optimal and time optimal arbitrary pattern formations by asynchronous robots on infinite grid

引用

international JOURNAL OF parallel EMERGENT AND distributed SYSTEMS 2023年第1期38卷 35-57页

作者： Ghosh, Satakshi Goswami, Pritam Sharma, Avisek Sau, Buddhadeb Jadavpur Univ Dept Math Kolkata India

The ARBITRARY PATTERN FORMATION (APF) is widely studied in distributed computing for swarm robots. This paper deals with the APF problem in an infinite grid under an asynchronous scheduler. In [Bose K, Adhikary R, Kundu MK, et al. Arbitrary pattern formation on infinite grid by asynchronous oblivious robots. Theor Comput Sci. 2020;815:213-227], the authors proposed an algorithm for APF problem in OBLOT model under an asynchronous scheduler, but the proposed algorithm was neither time optimal nor move optimal. This work provides two algorithms that solve APF problem in an asynchronous scheduler. The first algorithm is move optimal considering OBLOT model and the second algorithm is move and time optimal considering the LUMI model, where each robot has one light having three distinct colours.

关键词： distributed computing autonomous robots arbitrary pattern formation robots with lights asynchronous look-compute-move cycle grid

来源：评论

学校读者我要写书评

暂无评论

IDIOMS: Index-powered distributed Object-centric Metadata Search for Scientific Data Management 24

IDIOMS: Index-powered Distributed Object-centric Metadata Se...

引用

24th IEEE/ACM international Symposium on Cluster, Cloud, and Internet computing (CCgrid)

作者： Zhang, Wei Tang, Houjun Byna, Suren Lawrence Berkeley Natl Lab Berkeley CA 94720 USA Ohio State Univ Columbus OH USA

ISBN: (纸本)9798350395679;9798350395662

Affix-oriented metadata search is one of the essential fuzzy search capabilities that allow users to find data of interest in their voluminous data set with incomplete query conditions. With the recent transition towards object-centric data management systems in the science community, there is a paramount need for the support of such features in distributed settings. However, existing metadata search solutions either do not support efficient affix-oriented metadata search or do not suit well in a distributed setting of object-centric data management systems. To bridge this gap, we introduce IDIOMS, a metadata search solution underpinned by a distributed metadata index, meticulously designed to enable high-performance affix-oriented metadata search for parallel object-centric storage. One of the standout features of IDIOMS is its efficiency in supporting four distinct types of highly demanded metadata queries. Furthermore, IDIOMS is flexibly catering to both independent and collective metadata search operations. Our experimental comparisons with SoMeta, a state-of-the-art metadata query method, demonstrate more than 400x performance boost for independent queries and up to 300x performance improvements for collective queries, while keeping a small index management overhead.

关键词： Metadata Search Metadata Management parallel Data Processing distributed Data Management Scientific Data Management

来源：评论

学校读者我要写书评

暂无评论

A Multi-staining Digital Pathology Image Registration Method Based on Global and Local computing 27

A Multi-staining Digital Pathology Image Registration Method...

引用

27th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing (SNPD)

作者： Ding, Yi Zhang, Xin Lu, Cheng Commun Univ China Sch Comp & Cyber Sci Beijing Peoples R China Guangdong Prov Peoples Hosp Dept Radiol Guangzhou Peoples R China

ISBN: (纸本)9798350391961;9798350391954

To accurately evaluate the patient's condition, medical workers usually need to register multiple pathological images of the lesion site samples. Using computer technology to assist in registration work can effectively improve the efficiency of doctors analyzing pathological images. One of the most advanced methods currently is the Virtual Alignment of Pathology Image Series method, which is a multi-staining digital pathology image registration method that combines global and local calculations. However, this method may encounter certain biases when processing images with significant angle differences. Through a detailed analysis of this method, this article proposes an improvement plan which optimizes the acquisition of non-rigid registration mask images, enabling the method to obtain mask images more reasonably and achieve better registration results for images with significant angle differences. This provides more accurate judgment basis and helps doctors diagnose and develop treatment plans more accurately.

关键词： digital pathological images global rigid registration local non-rigid registration feature point detection

来源：评论

学校读者我要写书评

暂无评论

Benchmarking parallelization Models through Karmarkar's Interior-point method 32

Benchmarking Parallelization Models through Karmarkar's Inte...

引用

32nd Euromicro international conference on parallel, distributed and Network-Based Processing (PDP)

作者： Santimaria, Marco Edoardo Fonio, Samuele Malenza, Giulio Colonnelli, Iacopo Aldinucci, Marco Univ Torino Dept Comp Sci Turin Italy

ISBN: (纸本)9798350363074;9798350363081

Optimization problems are one of the main focus of scientific research. Their computational-intensive nature makes them prone to be parallelized with consistent improvements in performance. This paper sheds light on different parallel models for accelerating Karmarkar's Interior-point method. To do so, we assess parallelization strategies for individual operations within Karmarkar's algorithm using OpenMP, GPU acceleration with CUDA, and the recent parallel Standard C++ Linear Algebra library (PSTL) executing both GPU and CPU. Our different implementations yield interesting benchmark results that show the optimal approach for parallelizing interior point algorithms for general Linear Programming (LP) problems. In addition, we propose a more theoretical perspective of the parallelization of this algorithm, with a detailed study of our OpenMP implementation, showing the limits of optimizing the single operations.

关键词： Optimization problems Standard parallelism GPU programming parallel computing Linear programming

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：