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共 17242 条记录，以下是251-260 订阅

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Scalable Cloud-Integrated Analytics and Visualization for Real-Time Smart grid Management 7

Scalable Cloud-Integrated Analytics and Visualization for Re...

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7th international conference on Contemporary computing and Informatics, IC3I 2024

作者： Santosh Kumar, B. Rangaiah, Yagateela Pandu Singh, Navdeep Reddy, K. Jyothsna Al-Rubaye, Taqi Mohammed Khattab Raju, K. Butchi New Horizon College of Engineering Department of Computer Science Engineering Bangalore India Institute of Aeronautical Engineering Department of Electronics and Communication Enfineering Dundigal Hyderabad500043 India Lovely Professional University Phagwara India Mlr Institute of Technology Department of CSE-AI&ML Telangana Hyderabad India The Islamic University College of Medical Technologies Department of Medical Laboratory Technology Najaf Iraq Griet Department of Cse Bachupally Telangana Hyderabad India

ISBN: (纸本)9798350350067

The installation of new smart technologies has been growing exponentially, resulting in the creation of a large quantity of diverse data which require sophisticated tools for analysis. This paper presents CloudVIZ-grid as a new cloud-based visual analytical framework that was developed to accommodate the severity of the big data issues in smart grids. CloudVIZ-grid combines simple web-based grid accounts with up-to-date visualization tools and high-processing power to give a real time snap shot and 'finger on the pulse' of grid performance and operations, or deviations in energy usage. Using distributed data processing engines, CloudVIZ-grid can process high velocity data feeds, and with limited latency deliver analytics output. Moreover, the application of the machine learning algorithms within the framework strengthens the predict ability and thus pre-empts the management of the grid. This study lays emphasis on the importance of addressing the issues of computation, which is even more challenging in case of complex systems such as smart grids;use of cloud based solutions enable the conversion of huge amount of data available in smart grid into valuable insights that can be helpful for grid operators and players in the energy sector. Due to having a modular structure, the CloudVIZ-grid has the ability to change to fit future possible grids and additions, making it an essential part of the growing smart grid applications. © 2024 ieee.

关键词： Cloud analytics

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JumpCrypt: Based on Precomputing Federated Learning with Homomorphic encryption 25

JumpCrypt: Based on Precomputing Federated Learning with Hom...

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： Wang, Yun Wang, Chong Xu, Chao Wang, Jing School of Computer Science and Engineering Southeast University Nanjing China State Grid Jiangsu Electric Power Co. Ltd Nanjing China

ISBN: (纸本)9798350330014

Federated Learning (FL) enables organizations or individuals to train a machine learning model collaboratively by aggregating local gradient updates from each client without sharing privacy-sensitive data. To ensure the security of gradient updates, the FL framework employs additively homomorphic encryption (AHe) to prevent revealing the participants' identities during aggregation. However, strategy imposes heavy communication and computation costs. Thus, this paper proposes a system solution for cross-silo FL named JumpCrypt. Our scheme uses pre-computation to build a plaintext and noise pool for faster encryption. Meanwhile, gradient sparsity is employed to reduce communication overhead. experimental results show that our scheme achieves a 3x speedup in training compared with BatchCrypt while reducing communication overhead by 30%. © 2023 ieee.

关键词： Sensitive data

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Research on Auxiliary Terminal System of Power Communication Operation and Maintenance Based on Augmented Reality Technology 6

Research on Auxiliary Terminal System of Power Communication...

引用

6th ieee international conference on Power, Intelligent computing and Systems, ICPICS 2024

作者： Hao, Xue Geng, Lizhuo Liu, Lu Wang, Xunshi Lin, Chunlong Fan, Yunkun State Grid Hebei Electric Power Company Limited Training Center Shijiazhuang China Beijing Kedong Electric Power Control System Company Limited Simulation Branch Beijing China

ISBN: (纸本)9798350374315

An intelligent operation and maintenance system of power communication network based on the Internet of Things is established. The mobile operation management system of the Internet of Things is used to accurately collect, process and configure the mobile communication data of electric energy. The power intelligent communication operation management system and the Internet of Things data configuration processing platform are organically combined to achieve the improvement and optimization of the power communication mobile intelligent system. A new algorithm using Bayesian algorithm to detect suspicious faults in power networks;Then, using the data obtained from the integrated RRPMS, the alarm of the communication network management system, and the scheduling integrated operation management OBS, the effective control of the accident is realized. The test shows that the mobile phone network operation and maintenance system designed in this project can meet the actual demand, and its working reliability is greater than 80%. Compared with the conventional method, its performance is improved by 20% to 30% to achieve the purpose of standardization and intelligence. The system improves grid operational efficiency. © 2024 ieee.

关键词： Information management

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An electric-Field Coupled Wireless Power Transfer System with Anti-Misalignment Characteristics Based on Hybrid Compensation 6

An Electric-Field Coupled Wireless Power Transfer System wit...

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6th ieee international conference on Power, Intelligent computing and Systems, ICPICS 2024

作者： Mo, Yuhong Xiao, Jing Wu, Xiaorui Liu, Quan Chen, Shaonan Electric Power Science Research Institute Guangxi Power Grid Co. Ltd Southern Power Grid Corporation Wireless Energy Transmission Joint Laboratory Zhuang Autonomous Region Guangxi China

ISBN: (纸本)9798350374315

electric-field coupled wireless power transfer is one of the common ways to realize wireless power transfer, which has the advantages of good plasticity and small eddy current loss. In this paper, based on the electric field coupled wireless power transfer technology, from the anti-misalignment characteristics of the system, by applying the input series output series hybrid compensation topology to the wireless power transfer system with two sets of coupling mechanisms, the output power of the system is basically kept unchanged when the mutual capacitance value of the coupling mechanism is changed in a certain range, as well as the load-independent constant-current output characteristics are maintained. In the hybrid topology model of the system, topology 1 and topology 2 are bilateral LC and bilateral LCLC, respectively, and are connected in series-reverse mode. The simulation results show that the system can have good anti-misalignment performance and load independent constant current output characteristics when the mutual capacitance value of the system is changed in a certain range. © 2024 ieee.

关键词： Hybrid power

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Fine-Grained Service Lifetime Optimization for energy-Constrained edge-edge Collaboration 44

Fine-Grained Service Lifetime Optimization for Energy-Constr...

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44th ieee international conference on Distributed computing Systems (ICDCS)

作者： Zou, Haodong Guo, Jianxiong Zeng, Jiandian Li, Yupeng Cao, Jiannong Wang, Tian BNU HKBU United Int Coll Guangdong Prov Key Lab IRADS Zhuhai Peoples R China Hong Kong Baptist Univ Hong Kong Peoples R China Hong Kong Polytech Univ Hong Kong Peoples R China Beijing Normal Univ Inst Artificial Intelligence & Future Networks Zhuhai Peoples R China

ISBN: (纸本)9798350386066;9798350386059

Collaborative edge computing has been widely advocated by network operators and service providers to promote the quality of service (QoS), provisioning diverse delay-sensitive and computation-intensive applications. existing studies mainly focus on cloud-edge collaboration, since cloud servers have massive resources to provide diverse services and edge servers can provide low-delay services with close proximity to end users. However, in scenarios that capture privacy, e.g., personal bioinformation and business areas, there is a great need for zero cloud involvement. Moreover, current edge servers are typically energy-constrained, which poses great challenges in enabling high-QoS services in ever-densely deployed edge networks. To tackle these issues, in this paper, we study the energy-constrained edge-edge collaboration problem. First, we formulate the edge-edge collaboration with delay minimization and energy reduction aims and prove its NP-hardness. Second, we propose a novel Fine-Grained Service Lifetime Optimization (FGSLO) scheme as a possible solution. The problem is then transformed and decoupled into three subproblems, namely service placement, service lifetime decision, and task scheduling, which are solved by our proposed method, respectively. Finally, real-world data-driven experimental results show that FGSLO is capable of reducing 21.4%similar to 90.1% system delay in different energy-constrained scenarios, compared to baselines without service lifetime control.

关键词： Service Lifetime Fine-Grained Optimization energy Consumption Collaborative edge computing

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Combining FeM and Machine Learning Algorithms for Reliability Prediction of Solder Ball Joints in BGA Packages 6

Combining FEM and Machine Learning Algorithms for Reliabilit...

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6th international conference on Intelligent computing in Data sciences, ICDS 2024

作者： Reddad, Hakima Abouelmajd, Mohamed Zemzami, Maria Hami, Norelislam el Hmina, Nabil Nguyen, Nhan-Quy National School of Applied Sciences ENSA Laboratory of Advanced Systems Engineering Kenitra14000 Morocco Polydisciplinary Faculty Beni Mellal Morocco National Graduate School of Arts and Crafts Mohamed v University Rabat Morocco University Ibn Tofail Science and Engineering Laboratory ENSA Kenitra Morocco TroyesCEDEX France

ISBN: (纸本)9798350351200

This paper presents a comprehensive approach for reliability assessment of solder ball joints in Ball grid Array (BGA) assemblies by combining finite element method (FeM) with machine learning algorithms, for instance, exploiting the power of Artificial Neural Networks (ANNs). The ANNs predictive model achieved a high score of R-square metric (0.9968 for training data, 0.9122 for test data) and low root mean square error values (43.85 for training data, 141.54 for test data), indicating robust predictive performance. In the context of the study's methodology, the ANNs model was constructed and evaluated systematically, including the analysis of loss curves and partial dependence plots (PDPs) to interpret the influence of specific solder ball geometry parameters. The results demonstrate the effectiveness of ANNs in predicting the lifetime of solder balls, implying their potential for improving reliability investigations and predictive maintenance approaches in electronics engineering. © 2024 ieee.

关键词： Ball grid arrays

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Descriptive Analysis of the Cloud computing Services and Deployment Models 2

Descriptive Analysis of the Cloud Computing Services and Dep...

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2nd international conference for Advancement in Technology, ICONAT 2023

作者： Kaur, Tajinder Kamboj, Sushil Chandigarh University Computer Science Department Mohali India

ISBN: (纸本)9781665475174

Cloud have wide-ranging implications in several areas of computing, notably massive knowledge, cloud computing has simply up to the highest of any list of technology subjects. Furthermore, it is one of the most important chop-chop developing technologies due to the availability of a wide range of computer infrastructure and services. The expansion of cloud computing has included mainframe computing, cluster and grid computing, distributed and parallel computing technologies, and so on. Cloud computing has mostly supplanted grid, cluster, and mainframe computing. This refers to the delivery of numerous services over the web differently. Such as databases, infrastructure, run time platforms, knowledge storage, servers, networking, and code area unit samples of these resources. Price savings, bigger productivity, speed, efficiency, high performance, high computing power, and security are simply many of the explanations why consumers and businesses embrace the on demand computing. This article goes through the definition of cloud computing as well as its properties, various cloud services, deployment models, and security concerns. © 2023 ieee.

关键词： grid computing

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A 100kW Magnetic Coupled Wireless Power Transfer System for electrical Vehicles 5

A 100kW Magnetic Coupled Wireless Power Transfer System for ...

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5th ieee international conference on Power, Intelligent computing and Systems, ICPICS 2023

作者： Liu, Xiliu Chen, Guanlin Su, Dong Wu, Xiaorui Gong, Wenlan Ren, Feifan Liuzhou Power Supply Bureau of Guangxi Power Grid Co. Ltd Liuzhou China Electric Power Research Institute of Guangxi Power Grid Co. Ltd Southern Power Grid Corporation Wireless Power Transmission Joint Laboratory Nanning China College of Automation Chongqing University Chongqing China

ISBN: (纸本)9798350333442

This paper proposes a coupling mechanism based on DD magnetic integrated coil in LCC-S compensation network based on Magnetic Coupled Wireless Power Transfer (MC-WPT) technology. And the power transmission structure is designed based on practical application scenarios, circuit simulation software is also used to simulate and analyze the proposed system. This paper provides a coupling mechanism design and system parameter optimization plan. Finally, a 95.49kW MC-WPT system was built to further verify the feasibility of the system. © 2023 ieee.

关键词： energy transfer

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Assessment of New energy Consumption Capacity of grid Based on edge computing 4

Assessment of New Energy Consumption Capacity of Grid Based ...

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4th international conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, SPIoT 2023

作者： Zhang, Rui Liu, Zheng Zhao, Junwei Rao, Huan Dongguan Power Supply Bureau Guangdong Power Grid Corporation Guangdong Dongguan523000 China

Distributed photovoltaic grid integration brings many negative effects to the distribution network, and carrying out the research on its consumption capacity (CC) in the distribution network is the key to guarantee the safe and stable operation of the distribution network. This paper takes the maximum power access mode and minimum network loss as the optimization objectives, and takes voltage deviation, voltage fluctuation and short circuit capacity as the constraints to construct the evaluation model of distributed PV power generation CC. In view of the above problems, this paper uses edge computing to construct the evaluation of new energy (Ne) CC of the grid, and applies it to the ieee33 node network and the actual network. Finally, the established mathematical model and algorithm are validated (relative to Monte Carlo, the evaluation time of edge computing and time series production simulation is shorter, 13.11s and 23s, respectively). © 2024 The Authors.

关键词： Power distribution networks

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Research on Terminal Security Protection of zero-trust Smart grid Based on Fog computing 5

Research on Terminal Security Protection of zero-trust Smart...

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5th international conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2023

作者： Tao, Wenwei Cao, Yang Li, Mengyang Lu, Liyu Jiang, Zeming Zhang, Wenzhe CSG Power Dispatching Control Center Guangzhou China

ISBN: (纸本)9798350336030

This paper proposes a fog computing assisted zero-trust smart grid terminal security protection mechanism. Specifically, the fog computing nodes are deployed around the terminal devices to relieve the computing pressure of cloud nodes. A trust evaluation mechanism considering historical behavior and device access delay is designed to quantify the terminal access request behavior into trust value. elliptic curve cryptography algorithm (eCC) is used to encrypt the data sent by the terminal and fog node, and the discrete logarithm dilemma of the algorithm is used to achieve identity authentication between 'terminal, fog and cloud'. Paillier is used to encrypt and aggregate a large amount of data collected by power terminals. The simulation results show that the distributed deployment mode based on fog computing can effectively reduce the system load, and the behavior of abnormal terminals will significantly reduce the trust value. © 2023 ieee.

关键词： Fog computing

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