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检索条件"任意字段=6th IEEE International Conference on Distributed Computing in Sensor Systems"

共 6276 条记录，以下是211-220 订阅

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Efficient Large Models Fine-tuning on Commodity Servers via Memory-balanced Pipeline Parallelism 25

Efficient Large Models Fine-tuning on Commodity Servers via ...

引用

25th ieee international conferences on High Performance computing and Communications, 9th international conference on Data Science and systems, 21st ieee international conference on Smart City and 9th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Applications, HPCC/DSS/SmartCity/DependSys 2023

作者： Liu, Yujie Lai, Zhiquan Liu, Weijie Wang, Wei Li, Dongsheng College of Computer National University of Defense Technology National Key Laboratory of Parallel and Distributed Computing Changsha China

ISBN: (纸本)9798350330014

Large models have achieved impressive performance in many downstream tasks. Using pipeline parallelism to fine-tune large models on commodity GPU servers is an important way to make the excellent performance of large models available to the general public. Previous solutions fail to achieve an efficient memory-balanced pipeline parallelism. In this poster, we introduce a memory load-balanced pipeline parallel solution. this solution balances memory consumption across stages on commodity GPU servers via NVLink bridges. It establishes a new pathway to offload data from GPU to CPU by using the PCIe link of adjacent GPUs connected by the NVLink bridge. Furthermore, our method orchestrates offload operations to minimize the offload latency during large model fine-tuning. Experiments demonstrate that our solution can balance the memory footprint among pipeline stages without sacrificing training performance. © 2023 ieee.

关键词： Program processors

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Fair Epoch Scheduling of Linear Workflows with High Variability in Task Service Demand 6

Fair Epoch Scheduling of Linear Workflows with High Variabil...

引用

6th ieee international conference on Advanced systems and Emergent Technologies, IC_ASET 2023

作者： Karatza, Helen D. Aristotle University of Thessaloniki Department of Informatics Thessaloniki Greece

ISBN: (纸本)9798350321029

With the evolution of the distributed computing model, the service times of the applications processed on such platforms present increased variability. Moreover, the workload in such environments has usually the structure of linear workflows (LWs). Jobs of this type consist of a set of tasks which need to be processed one after the other. LWs often result in uneven processor queues, as they attempt to leverage data locality. Consequently, it is very important to employ appropriate scheduling strategies in order to achieve good performance, as well as fairness in the workload execution. In this paper we aim to examine efficient scheduling techniques of LWs. We consider that the variability in the task service demands is high. three scheduling schemes are employed in a distributed system. their performance is evaluated and compared using simulation. the simulation results demonstrate the different potential of the scheduling approaches which we use. Also, they reveal that the efficacy of the scheduling schemes is influenced by, the coefficient of variation of the probability distribution of service times of the tasks of the linear workflow jobs, the load level, and whether the primary scheduling objective is fairness. © 2023 ieee.

关键词： distributed computer systems

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Performance Analysis of distributed Deep Learning using Horovod for Image Classification 6

Performance Analysis of Distributed Deep Learning using Horo...

引用

6th international conference on Intelligent computing and Control systems, ICICCS 2022

作者： Rakshith, R.M. Lokur, Vineet Hongal, Prateek Janamatti, Vivek Chickerur, Satyadhyan KLE Technological University School of Computer Science and Engineering Hubballi India KLE Technological University Centre for High Performance Computing Hubballi India

ISBN: (纸本)9781665410359

Recent advances in unsupervised feature learning and deep learning methodologies have shown that training large models may significantly improve performance. this research study reviews the topic of training a deep neural network in a distributed manner. the proposed study uses the Horovod to train large models on compute clusters with thousands of computers. It can be viewed that the image classification and segmentation are computationally expensive jobs, with more segmentation. Lower-level tasks may be fine-tuned for enhanced efficiency, but the study demonstrates that the proposed research study can work better and more effectively in categorization by exploiting the distributed deep learning idea. the proposed study demonstrate the application of Horovod on Image classification using CNNs, and our works serve as a benchmark for performance analysis on standard datasets;CIFAR 10 and Cat Vs Dog. © 2022 ieee.

关键词： Image classification

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BPSA (Back Propagation Sleep Awake) Clustering Protocol for Energy Optimization of Wireless sensor Networks 6

BPSA (Back Propagation Sleep Awake) Clustering Protocol for ...

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6th international conference on Information systems and Computer Networks, ISCON 2023

作者： Bhardwaj, Akanksha Gupta, Bhupesh Rana, Sanjeev Goyal, Sandip Kumar Gujral, Rajneesh Kumar Computer Science and Engg Deptt Mullana Ambala India

ISBN: (纸本)9798350346961

A Wireless sensor Network (WSN) contains of bitsy/slashed devices. these devices are known as sensor nodes. sensor node has storage, sensing and communicating capacity. For energy optimization of sensor network concept of Hierarchical Routing protocol was used. this approach partitioned network into fixed size clusters of sensor nodes. Every cluster consists of cluster head, which is responsible for the transmission of data towards the base station. For improving network lifespan by energy optimization of sensor nodes this research proposes a Back Propagation Sleep Awake clustering (BPSP) protocol. For comparison purpose LEACH protocol is taking into consideration and for simulation based analysis was done with NS2 Simulator. For Simulation, the performance parameters energy consumption, delay, throughput and packet delivery were taken into consideration.. © 2023 ieee.

关键词： sensor nodes

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A Method for Tracing the Partial Discharge of Switchgear Based on distributed Transient Earth Voltage Measurement 6

A Method for Tracing the Partial Discharge of Switchgear Bas...

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6th ieee international Electrical and Energy conference, CIEEC 2023

作者： Zhang, Hongyuan Ren, Ming Guan, Haobin Dong, Ming School of Electrical Engineering Xi'an Jiaotong University Xi'an China

ISBN: (纸本)9798350346671

Transient earth voltage (TEV) detection is one of the common methods for detecting partial discharge of switchgear. However, due to the layout of grounding system and other reasons, TEV signal has interference frequently between equipment, which brings difficulties to the location of the discharge. For this problem, this paper created the electromagnetic simulation model of switchgear and the abreast switchgear of the substation. Explored the best measurement position of the TEV signal of the single switchgear, as well as the discharge location method when abreast switchgear share the earthing system. the results show that it is the best to take the measurement at the lower center of the front of the switchgear. For abreast switchgear, the TEV amplitude for the same discharge pulse of each switchgear decreases significantly with the increase of its distance from the discharge source. therefore, it is advised to build a distributed sensor network to locate the discharge source. Carrying out actual measurement in a substation, the location method based on distributed transient earth voltage shows high efficiency, providing reference for the application of TEV measurement. © 2023 ieee.

关键词： Transients

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Intelligent Log Analysis Technology for distributed Energy Production Management System 6

Intelligent Log Analysis Technology for Distributed Energy P...

引用

6th ieee international Electrical and Energy conference, CIEEC 2023

作者： Qie, Kaiming Wang, Yuanyuan Lin, Fuliang Zhao, Ruizheng Yang, Han Beijing Institute of Control and Electronic Technology Science and Technology on Information Systems Engineering Laboratory Beijing China School of Automation Chongqing University Chongqing China

ISBN: (纸本)9798350346671

Aiming at the demand of distributed energy production management system for intelligent operation and maintenance, considering the problems in current log analysis method, we propose an intelligent log analysis technology for distributed energy production management system. this technology applies distributed log framework to achieve the collection, storage, analysis and display of various equipment and service logs in the energy production management system. On the one hand, we use log anomaly detection technology to realize the anomaly detection of single node and the generating of log anomaly alarm, On the other hand, we use rule reasoning technology to realize the analysis and tracing of log anomaly alarm. In addition, we combine with practical application, optimize the traditional rule matching algorithm, which improves the fault tolerance of the matching network, and gets better accuracy and efficiency of the algorithm. © 2023 ieee.

关键词： Anomaly detection

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IoT Intelligent sensor System Based on Fuzzy Inference for Efficient Resource Management System in Residential, Commercial, or Industrial Smart Buildings 6

IoT Intelligent Sensor System Based on Fuzzy Inference for E...

引用

6th ieee international conference and Workshop Obuda on Electrical and Power Engineering, CANDO-EPE 2023

作者： Pruteanu, Eusebiu Furdu, Marius Iulian Puiu, Petru Gabriel Abdrioaia, Dragos Istok, Robert Energetics and Computer Sfience 'Vasile Alecsandri' University of Bacau Bacau Romania Mathematics and Informatics 'Vasile Alecsandri' University of Bacau Bacau Romania Óbuda University Institute of Automation and Energy Systems Budapest Hungary

ISBN: (纸本)9798350328752

Intelligent sensor systems are the essential element for automatic control in residential, commercial or industrial smart buildings. the use of intelligent sensor systems within buildings implies efficient resource management. In addition to environmental benefits, smart sensor systems provide improved comfort by increasing safety and security. thus, the buildings become adaptable to the individual needs of the users. Although reduced, through the use of insulating materials in the building structure, energy consumption is better managed by reducing energy losses from heating and ventilation processes, which can be controlled according to personal needs [1]. In order to achieve this, specific technical requirements such as precision, resolution and reliability must be fulfilled. the paper proposes an application for the development and implementation of a smart system, using a network of smart wireless sensors for measurement and diagnostics, which integrates dedicated applications related to safety, security and comfort. © 2023 ieee.

关键词： Fuzzy inference

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distributed, Privacy-Aware Location Data Aggregation 6

Distributed, Privacy-Aware Location Data Aggregation

引用

6th ieee international conference on Trust, Privacy and Security in Intelligent systems, and Applications, TPS-ISA 2024

作者： Schneider, Maja Buchmann, Erik Rahm, Erhard Dresden Leipzig Germany

ISBN: (纸本)9798350386745

Analyzing location data from many individuals can provide valuable insights, especially when linked with private attributes like personal health information. A recent application includes identifying COVID-19 outbreaks by aggregating individuals' health data across a geographical hierarchy. However, analyzing such sensitive information can threaten the individuals' privacy, especially when honest-but-curious third parties are involved. To encourage people to share their data for such analyses, strong privacy protection and building trust in the privacy approach are crucial, requiring clear privacy parameters that can be tailored to individual needs. To address these requirements, we introduce DIPALDA, a new anonymization technique for distributed, Privacy-Aware Location Data Aggregation on hierarchically structured personal location data. DIPALDA leverages three privacy parameters: k-anonymity, minimum cloaking area size, and maximum re-identification probability, effectively countering re-identification and location privacy attacks. Our extensive experiments with COVID-19 propagation data demonstrate that DIPALDA achieves a suitable trade-off between utility, privacy, and explainability. © 2024 ieee.

关键词： Differential privacy

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Multi-fault zone repair method for active distribution network considering the fluctuation characteristics of distributed resources 6

Multi-fault zone repair method for active distribution netwo...

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6th international conference on Energy systems and Electrical Power, ICESEP 2024

作者： Huang, Xinghua Li, Lingfei Wu, Han Fan, Yuanliang Huang, Zhikai State Grid Fujian Electric Power Research Institute Fujian Fuzhou350007 China Fujian Key Enterprise Laboratory of High Reliability for Power Distribution Technology Fujian Fuzhou350003 China State Grid Quanzhou Electric Power Supply Company Fujian Quanzhou362011 China School of Electrical Engineering Southeast University Nanjing210096 China

ISBN: (纸本)9798350353563

the existing repair methods may be affected by signal interference, noise, equipment failure and other factors, resulting in inaccurate repair results, which will affect the subsequent fault partitioning and repair work. therefore, a multi-fault regional repair method for active distribution network considering the fluctuation characteristics of distributed resources is designed. the load of active distribution network is divided into three categories: uncontrollable load, controllable load and adjustable load. the optimal recovery value objective function of load fluctuation is established by considering multiple indexes such as user satisfaction, loss load, network loss and minimum voltage. the experimental results show that the design method has the lowest fault time (0.18 seconds), the best performance in terms of user satisfaction (99.07%), and the best performance in the power loss load (633.16kW). © 2024 ieee.

关键词： Signal interference

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Design and Development of a Rescue Robot to Identify Human Presence in Disaster Scenarios by using Artificial Intelligence Assisted sensor Support 6

Design and Development of a Rescue Robot to Identify Human P...

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6th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2025

作者： Umamaheswari, U. Suneel, Sajja Ravikumar, K. Baburao, D. Upadhyay, Shrikant Swapna, B. Saveetha School of Law Saveetha Institute of Medical and Technical Sciences SIMATS Chennai India Institute of Aeronautical Engineering Dundigal Telangana Hyderabad500043 India Dept Of IT Dhanalakshmi Srinivasan College of Engineering and Technology Chennai India Telangana Hyderabad500 075 India Department of Electronics and Communication Engineering MLR Institute of Technology Hyderabad India Department of ECE Dr. MGR Educational and Research Institute Chennai India

ISBN: (纸本)9798331522667

In disaster scenarios, rapid and accurate identification of human presence is critical for effective rescue operations. this study presents the design and development of an AI-assisted rescue robot equipped with advanced sensor support for detecting human presence in various disaster environments. the proposed system integrates multiple sensors, including thermal imaging, LiDAR, ultrasonic sensors, and cameras, to gather comprehensive environmental data. A YOLO-based AI model processes this data to identify human presence with high accuracy. the model was trained and validated on diverse datasets simulating real-world disaster conditions. Results show that the proposed model outperforms nine existing models, achieving an average accuracy of 97.3% across four different disaster scenarios. this accuracy is significantly higher compared to the closest competing models, highlighting the robustness and reliability of the proposed system. Additionally, the model demonstrated a precision of 96.7%, a recall of 96.5%, and a response time of 49.5 ms, all of which contribute to its superior performance in time-sensitive and complex environments. the findings suggest that this AI-assisted rescue robot is a promising solution for enhancing the efficiency and effectiveness of search and rescue operations in disaster scenarios. © 2025 ieee.

关键词： thermography (imaging)

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