检索结果-内蒙古大学图书馆

3rd international conference on Artificial Intelligence, Internet of Things and Cloud computing Technology, AIoTC 2024

作者： Ren, Xiaoping Yi, Hao Yi, Honghua He, Yilin Southwest University College of Artificial Intelligence Chongqing China

ISBN: (纸本)9798331530280

This paper explores the issue of secure distributed estimation in the presence of attacks. Due to the presence of attacks, compromised nodes send erroneous information to their neighboring nodes, leading to a decline in network performance. Here, a distributed diffusion least-mean-square (DLMS) algorithm with affinity is proposed. The proposed algorithm uses affinity for secure distributed estimation. Specifically, we propose a distributed discrimination mechanism based on affinity to distinguish between normal nodes and malicious nodes. Simulations are conducted to demonstrate the superiority of the proposed DLMS-Affinity algorithm in comparison to other algorithms. © 2024 ieee.

关键词： Diffusion least-mean-square (DLMS) distributed estimation Relationship mapping attributes secure estimation

来源：评论

学校读者我要写书评

暂无评论

A Layered Framework to Characterize distributed Applications in Power systems

A Layered Framework to Characterize Distributed Applications...

引用

2025 ieee PES Grid Edge Technologies conference and Exposition, Grid Edge 2025

作者： Sadnan, Rabayet Poudel, Shiva Ogle, James P. Reiman, Andrew P. Pacific Northwest National Laboratory RichlandWA United States

ISBN: (纸本)9798350352528

distributed applications for grid operations pose inherently greater complexity than their centralized counterparts, primarily due to 1) utilization of components operating across different network nodes and platforms, 2) the diverse characteristics ranging from data-driven to model-based and optimization-based approaches, and 3) various possible design architectures such as peer-to-peer, decentralized, and hierarchical structures. Despite these challenges, it is important to characterize these applications with appropriate metrics to identify their computational requirements and assess the benefit of distributed design choices. We introduce a layered framework aimed at categorizing widely used metrics for evaluating distributed applications. Each layer in the proposed framework focuses on distinct attributes of distributed applications, enabling users to take a bottom-up approach to identifying their specific requirements. This paper focuses on characterizing distributed application computing requirements within this framework, providing a structured methodology for effectively managing resources in distributed computing environments;the developed metrics can allow operators to assess the advantages and disadvantages of distributed apps. © 2025 ieee.

关键词： Power systems computer aided design

来源：评论

学校读者我要写书评

暂无评论

Innovations in mathematical modeling, AI, and optimization techniques

引用

JOURNAL OF SUPERcomputing 2025年第1期81卷 1-4页

作者： Ohue, Masahito Yasuo, Nobuaki Takata, Masami Inst Sci Tokyo Sch Comp Dept Comp Sci Yokohama Kanagawa 2268501 Japan Inst Sci Tokyo Acad Convergence Mat & Informat TAC MI Tokyo 1528550 Japan Nara Womens Univ Res Grp Informat & Commun Technol Life Nara 6308506 Japan

This special issue is dedicated to examining the rapidly evolving fields of artificial intelligence, mathematical modeling, and optimization, with particular emphasis on their growing importance in computational science. It features the most notable papers from the "Mathematical Modeling and Problem Solving" workshop at PDPTA'24, the 30th international conference on Parallel and distributed Processing Techniques and Applications. The issue showcases pioneering research in areas such as natural language processing, system optimization, and high-performance computing. The nine selected studies include novel AI-driven methods for chemical compound generation, historical text recognition, and music recommendation, along with advancements in hardware optimization through reconfigurable accelerators and vector register sharing. Additionally, evolutionary and hyper-heuristic algorithms are explored for sophisticated problem-solving in engineering design, and innovative techniques are introduced for high-speed numerical methods in large-scale systems. Collectively, these contributions demonstrate the significance of AI, supercomputing, and advanced algorithms in driving the next generation of scientific discovery.

关键词： Mathematical modeling Artificial intelligence Parallel and distributed computing Reconfigurable computing Drug discovery

来源：评论

学校读者我要写书评

暂无评论

Reservoir Echo State Network for Classification of Multivariate Time Series 30

Reservoir Echo State Network for Classification of Multivari...

引用

30th international conference on High Performance computing, Data, and Analytics (HiPC)

作者： Purkayastha, Basab Bijoy Barma, Shovan Indian Inst Technol Guwahati Dept Phys Gauhati India Indian Inst Informat Technol Guwahati Dept ECE Gauhati India

ISBN: (纸本)9798350383782;9798350383799

Multivariate time series (MTS) classification has been tackled using various methods, including Reservoir computing (RC), which generates efficient vectorized representations like reservoir state (RS). RS shines when handling extensive classes or training sets but demands longer processing and substantial memory. Addressing this, in this study we present the Parallel Reservoir Echo State Network (PR-ESN), an optimized parallel training and evaluation algorithm rooted in the ESN principle. It leverages both CPU-shared memory and parallel distributed memory architecture to efficiently capture reservoir state's optimal model space representation, addressing computational challenges in MTS analysis. Distinguishing itself from previous works, PR-ESN combines distributed parallel processing at the network level and shared memory multiprocessing at the node level. This results in reduced memory requirements and faster processing, making it a significant contribution to the field. Key features include PR-ESN's distributed training and evaluation, shared memory parallelization, and MSR concatenation for comprehensive analysis of distributed model space representations. Testing on real-world MTS and benchmark ECG data proves PR-ESN-based classifiers achieve superior accuracy and faster processing times with optimal memory usage. Testing on real-world MTS and benchmark ECG data proves PR-ESN-based classifiers achieve superior accuracy and faster processing times with optimal memory usage.

关键词： Shared Memory Parallelism distributed Memory Parallelism Echo State Network Reservoir computing Parallel computing Multivariate Time Series Classification

来源：评论

学校读者我要写书评

暂无评论

MAD-Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on distributed systems 51

MAD-Max Beyond Single-Node: Enabling Large Machine Learning ...

引用

ACM/ieee 51st Annual international Symposium on Computer Architecture (ISCA)

作者： Hsia, Samuel Golden, Alicia Acun, Bilge Ardalani, Newsha DeVito, Zachary Wei, Gu-Yeon Brooks, David Wu, Carole-Jean FAIR Meta Menlo Pk CA 94025 USA Harvard Univ Cambridge MA 02138 USA

ISBN: (纸本)9798350326598;9798350326581

Training and deploying large-scale machine learning models is time-consuming, requires significant distributed computing infrastructures, and incurs high operational costs. Our analysis, grounded in real-world large model training on datacenter-scale infrastructures, reveals that 14 similar to 32% of all GPU hours are spent on communication with no overlapping computation. To minimize this outstanding communication latency and other inherent at-scale inefficiencies, we introduce an agile performance modeling framework, MAD-Max. This framework is designed to optimize parallelization strategies and facilitate hardware-software co-design opportunities. Through the application of MAD-Max to a suite of real-world large-scale ML models on state-of-the-art GPU clusters, we showcase potential throughput enhancements of up to 2.24x for pre-training and up to 5.27x for inference scenarios, respectively.

关键词： Data Center distributed Inference distributed Training GPU Hardware-Software Co-Design Machine Learning Parallelization Performance Model Simulator

来源：评论

学校读者我要写书评

暂无评论

Validation of P Class Synchrophasors Under Dynamic System Conditions 10

Validation of P Class Synchrophasors Under Dynamic System Co...

引用

10th ieee international conference on Electronics, computing and Communication Technologies (ieee CONECCT)

作者： Kaliappan, P. Selvan, M. P. CPRI Metering & Util Automat Div Bangalore Karnataka India NIT Dept Elect & Elect Engn Tiruchirappalli India

ISBN: (数字)9798350385922

ISBN: (纸本)9798350385939;9798350385922

A synchrophasor or Phasor Measurement Unit (PMU), uses measured voltage and current as input signals to estimate characteristics such as phase angle, frequency, magnitude, and rate of frequency change. Phasor estimation may become complicated due to distortion of these input signals from harmonics, noise, and state changes often brought on by changes in load, protection, and control actions. P class PMU is often designed for applications that need quick response time. To enhance the reliable performance of Synchrophasor for protection applications, the phasor estimation algorithms need to be verified for compliance with different reporting rates for the P class as per the latest standard IEC/ieee 60255-118.1:2018. The stimuli of dynamic/transient conditions can be generated using the 6135A synchrophasor calibration system. Proper study and analysis of synchrophasors are necessary to avoid failure and blackouts in power systems. In this work, three synchrophasors were validated for the P class at a reporting rate of 50 frames per second under dynamic systems conditions. The outcome of the results was analysed and discussed for compliance which could be more useful for various improved power system protection applications.

关键词： Synchrophasor Validation Total Vector Error (TVE) Coordinated Universal Time (UTC) Global Positioning System (GPS) IEC/ieee standard Power system protection

来源：评论

学校读者我要写书评

暂无评论

distributed Sensing and Collaborative Edge computing for LEO Constellations 17

Distributed Sensing and Collaborative Edge Computing for LEO...

引用

17th international conference on COMmunication systems and NETworkS, COMSNETS 2025

作者： Jaipuria, Saumya Banerjee, Ansuman Paul, Himadri Sekhar Indian Statistical Institute India TCS Research India

ISBN: (纸本)9798331531195

In recent years, constellations of low Earth orbit (LEO) satellites are being used extensively for a wide multitude of remote sensing applications starting from forest fire imaging to maritime applications like tracking of enemy ships. These satellites fly in low earth orbits and collectively image a wide area for data collection. Traditionally, satellites are used as passive sensing devices, which sense and download observations to Earth bound ground stations. This mechanism at times faces transfer bottlenecks and significantly limits the number of image collections. Building on recent developments in orbital edge computing, wherein small satellites are also equipped with computing power, this paper proposes an integrated sense and compute framework for these satellite constellations. Given a set of regions of interest to be imaged, we propose an integer linear programming (ILP) based solution approach to set up a collect communicate compute schedule that can maximize the number of region images collected and analyzed. We present preliminary experimental results of our framework on simulated datasets. © 2025 ieee.

关键词： Small satellites

来源：评论

学校读者我要写书评

暂无评论

Employing Opposition-based Grey Wolf Optimization for Optimal Allocation and Sizing of distributed Generation in a Power Distribution System 2

Employing Opposition-based Grey Wolf Optimization for Optima...

引用

2nd ieee World conference on Communication and computing (WCONF)

作者： Kumar, Y. Anil Koushik, T. Sri Rama Arun, P. Sai, N. Ganesh, R. Vignana Bharathi Inst Technol Dept Elect & Elect Engn Hyderabad India

ISBN: (纸本)9798350395334;9798350395327

This work addresses the challenge of optimal allocation and sizing for distributed Generation (DG) in power systems. The proposed approach leverages Opposition-Based Grey Wolf Optimization (OBGWO), a variation of the Grey Wolf Optimizer (GWO) algorithm inspired by grey wolf pack hunting strategies. OBGWO introduces the concept of oppositional solutions, expanding the search space and potentially leading to faster convergence towards optimal DG placement and capacity. By minimizing power losses and improving voltage profiles within the distribution system, the OBGWO framework aims to achieve a balance between efficient power delivery and optimal DG integration. This research contributes to the field of power system optimization by exploring a novel application of OBGWO for effective DG planning and deployment.

关键词： Optimal Allocation and Sizing Optimization Techniques Grey wolf optimization Opposition based Grey Wolf Optimization distributed Generation.

来源：评论

学校读者我要写书评

暂无评论

Secure Channel Creation for Task Delivery in Vehicular Cloud computing to Avoid Denial of Service (DoS) 3

Secure Channel Creation for Task Delivery in Vehicular Cloud...

引用

3rd international conference on Automation, computing and Renewable systems, ICACRS 2024

作者： Meenambika, A. Pavalarajan, S. Lavanya, N. Anu Jerom, B. Ajith Divya, S. Department of Computer Science and Business Systems PSNA College of Engineering and Technology Dindigul India PSNA College of Engineering and Technology Dindigul India Department of Artificial Intelligence and Data Science PSNA College of Engineering and Technology Dindigul India

ISBN: (纸本)9798331532420

Vehicular Cloud computing (VCC) offers a promising platform for supporting various automotive applications and services. However, its distributed and dynamic nature makes it susceptible to Denial-of-Service (DoS) attacks, particularly during channel establishment. This research proposes a comprehensive approach to mitigate these risks by integrating a suite of security mechanisms. These include rate-limiting, resource management, traffic analysis, access control, authentication, encryption, intrusion detection, behavioral analysis, and blacklisting/whitelisting techniques. By incorporating these measures, the proposed approach enhances the security and reliability of VCC, ensuring the availability of critical automotive services and protecting vehicles from the impact of DoS attacks. © 2024 ieee.

关键词： Cloud platforms

来源：评论

学校读者我要写书评

暂无评论

RedgeX: Meta-learning based Optimal Analytical Model for Programmable Edge Intelligence 25

RedgeX: Meta-learning based Optimal Analytical Model for Pro...

引用

ieee Wireless Communications and Networking conference (ieee WCNC)

作者： Alam, Mehbub Ahmed, Nurzaman Matam, Rakesh Barbhuiya, Ferdous Ahmed Indian Inst Informat Technol Guwahati Dept Comp Sci & Engn Gauhati India Donald Danforth Plant Sci Ctr Creve Coeur MO USA

ISBN: (纸本)9798350303582;9798350303599

In this paper, we propose RedgeX, a meta-learning based approach for generating analytical models in a distributed edge intelligence network. The approach involves training a meta-learning model on a large dataset of edge device information and performance metrics to predict the optimal analytical model for a given task and available resources. An edge controller, which has the status of all the edge devices, can then deploy the optimal model to the most suitable edge devices based on their available resources. The RedgeX improves the efficiency and effectiveness of edge intelligence systems by dynamically generating analytical models based on the specific requirements of each task and the available resources in the edge devices. The performance evaluation of the proposed scheme shows better utilization of resources, improved performance, and reduced latency in edge intelligence systems.

关键词： Edge computing Internet of Things metalearning programmable edge computing Industrial Internet of Things

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：