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检索条件"任意字段=4th International Conference on Grid and Pervasive Computing"

共 2312 条记录，以下是1-10 订阅

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2009 4th international conference on grid and pervasive computing Workshops

2009 4th International Conference on Grid and Pervasive Comp...

引用

2009年

作者： H Muller

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Advances in grid and pervasive computing - 4th international conference, GPC 2009, Proceedings

Advances in Grid and Pervasive Computing - 4th International...

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4th international conference on grid and pervasive computing, GPC 2009

ISBN: (纸本)9783642016707

the proceedings contain 42 papers. the topics discussed include: capacity planning in economic grid markets;a financial option based grid resources pricing model: towards an equilibrium between service quality for user and profitability for service providers;negotiating and enforcing QoS and SLAs in grid and cloud computing;dynamic and secure data access extensions of grid boundaries;proxy restrictions for grid usage;an account policy model for grid environments;providing security of real time data intensive applications on grids using dynamic scheduling;solving a realistic FAP using GRASP and grid computing;grid based training environment for earth observation;improving energy-efficiency of grid computing clusters;GFS: a distributed file system with multi-source data access and replication for grid computing;G2G: a meta-grid framework for the convergence of P2P and grids;and distributed asynchronous iterative algorithms: new experimentations with the Jace environment.

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Advances in grid and pervasive computing - 6th international conference, GPC 2011, Proceedings

Advances in Grid and Pervasive Computing - 6th International...

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6th international conference on grid and pervasive computing, GPC 2011

ISBN: (纸本)9783642207532

the proceedings contain 28 papers. the topics discussed include: applying microsoft research technologies to the 4th paradigm in scientific research;job status prediction - catch them before they fail;group-based gossip multicast protocol for efficient and fault tolerant message dissemination in clouds;co-management of power and performance in virtualized distributed environments;a leasing instances based billing model for cloud computing;a scalable multiprocessor architecture for pervasive computing;enhancing the reliability of sip service in large-scale P2P-SIP networks;a load balanced two-tier DHT with improved lookup performance of non-popular data items;gridlet economics: resource management models and policies for cycle-sharing systems;anatomy of automatic mobile carbon footprint calculator;empowering elderly end-users for ambient programming: the tangible way;and prototyping augmented traditional games: concept, design and case studies.

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Prediction of False Data Injection Attacks in Smart grid using AdaBoost, Deep Learning, and KNN 4

Prediction of False Data Injection Attacks in Smart Grid usi...

引用

4th IEEE international conference on Artificial Intelligence in Cybersecurity, ICAIC 2025

作者： Pandey, Bishwajeet Zhakiyev, Nurkhat Gaur, Madhu S Tumenbayeva, Fariza Kumar, Sanjeev Pandey, Pushpanjali GL Bajaj College of Technology and Management Department of MCA Greater Noida India Astana IT University Department of Science and Innovation Astana Kazakhstan GL Bajaj Institute of Technology and Management Department of MCA Greater Noida India R&D Lab Gyancity Research Consultancy Greater Noida India

ISBN: (纸本)9798331518882

With the advancement and application of computing in electrical infrastructure, all traditional electrical grids are transforming into Smart grid. Modern Smart grid are more efficient than traditional electrical grids but also prone to cyber-attacks due to presence of computing devices and communication protocols. In this work, we are finding a better machine learning algorithm to predict false data injection attacks in smart grid. We have taken the Smart grid dataset from Kaggle. In our research, we used AdaBoost, Deep Learning (DL), and K Nearest Neighbor (KNN) machine learning classifier. We observed that KNN is better than Deep Learning, and AdaBoost in all parameters of accuracy, precision, recall, and f1-score. © 2025 IEEE.

关键词： Smart power grids

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MLCDT: Fine-Grained Multi-Task Learning for enhanced cognitive assessment in the clock drawing test 4

MLCDT: Fine-Grained Multi-Task Learning for enhanced cogniti...

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4th international conference on Computer Vision, Application, and Algorithm, CVAA 2024

作者： Yao, Lei Ma, Haomiao Sun, Haoran Zhang, Yingwei Liang, Shili Zhang, Lei Shang, Pan Sun, Shiwen The School of Physics Northeast Normal University Changchun130000 China Beijing Key Laboratory of Mobile Computing and Pervasive Device Institue of Computing Technology Chinese Academy of Sciences Beijing100190 China First People’s Hospital of Foshan Guangdong Foshan528010 China

ISBN: (数字)9781510687622

ISBN: (纸本)9781510687615

Artificial Intelligence (AI) is increasingly used in cognitive health assessments, with the Clock Drawing Test (CDT) being an effective cognitive evaluation tool. However, the complexity of CDT image structures, high subjectivity, and the lack of specialized cognitive health assessment datasets for specific populations pose significant challenges for feature learning and model construction using this method. To address these issues, we propose a fine-grained multi-task learning approach (MLCDT) for AI-assisted diagnosis of cognitive health using CDT. MLCDT integrates image pre-training models with a multi-task learning framework to capture fine-grained features of CDT images and constructs a final diagnostic support model through scientifically designed tasks. Experiments using real data from cognitive health assessments in a neurology department at a hospital validate the effectiveness of MLCDT in handling fine-grained tasks and aiding cognitive disorder assessments. © 2025 SPIE.

关键词： Electronic health record

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Internet of Energy (IoE): A Comprehensive Review of Design, Principles, and Architectural Frameworks 15th

Internet of Energy (IoE): A Comprehensive Review of Design, ...

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15th international conference on e Infrastructure and e Services for Developing Countries

作者： Abdalla, Rania Salih Ali, Elmustafa Sayed Mahbub, Sara A. Mokhtar, Rania A. Ahmed, Zeinab E. Taif Univ Dept Comp Engn Al Taif Saudi Arabia Red Sea Univ Dept Elect & Elect Engn Port Sudan Sudan Sudan Univ Sci & Technol Dept Elect Engn Khartoum Sudan Int Islamic Univ Malaysia Dept Elect & Comp Engn Kuala Lumpur Malaysia Univ Gezira Dept Comp Engn Wad Madani Sudan

ISBN: (纸本)9783031815690;9783031815706

Design of energy resources, transmission, distribution, and consumption in network architecture is becoming a challenging energy optimization issue. the demand for power analysis becomes a key pillar in sustainable renewable energy and adaptation to climate change. State-of-the-art technologies can play a vital role in realizing the new architectural design for smart grids and cities. the 4th generation mobile network is considered a critical technology and enabler. the 3GPP standard body is set to a target of 35% of the deployment of the 4G to be Low Power Wide Area (LPWA) network by 2020. LPWA is an Internet of Energy (IoE) structure that can provide a comprehensive stream of energy sector applications. the IoE with intelligent computing tools can dramatically enhance energy efficiency, improve and sustain renewable energy, and diminish energy contamination's ecological effects. this paper reviews the literature on the IoE design principles and architecture models comprehensively. it also explains IoE enabling technologies, including fog computing and various interoperability and data analysis standards.

关键词： Communications and measurement technology smart energy systems smart grid IoE Computational Tools IoE Design IoE Interoperability IoE Standards IoE Cyber Security

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Intelligent scheduling task adjustment method based on graph neural network and adaptive weights 4

Intelligent scheduling task adjustment method based on graph...

引用

4th international conference on Computer Vision, Application, and Algorithm, CVAA 2024

作者： Liu, Lei Yu, Xuexia Hu, Zhiyuan Li, Xiaojie Zhao, Guowen Su, Jun Beijing China-Power Information &. Technology Co. Ltd. State Grid Information & Telcommunication Group Beijing100000 China

ISBN: (数字)9781510687622

ISBN: (纸本)9781510687615

In order to make the scheduling of tasks to be executed by intelligent agents more flexible and reasonable, a method for adjusting intelligent scheduling tasks based on graph neural networks and adaptive weights is proposed. Based on the short-term memory ability of graph neural networks, search for temporary computing tasks received by intelligent agents in the database as the basic data for subsequent arrangement and adjustment. Extracting thematic content features of intelligent tasks based on recurrent neural networks;Identify priority task targets in the scheduled tasks through graph neural network models. Based on adaptive weights and combined with online learning listwise algorithm, intelligent task scheduling adjustment is achieved. the experimental results show that the conflict rate of task scheduling adjustment using this method remains stable within 5%, and the scheduling adjustment effect is more reasonable;the utilization rate of computing resources is higher after task scheduling adjustment, and task scheduling is more flexible;the longest response time for task scheduling adjustment is 29ms, which is more effective. © 2025 SPIE.

关键词： Scheduling algorithms

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Development of Fast Prediction System of User Action for a Fully Autonomous Smart Home System 4

Development of Fast Prediction System of User Action for a F...

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4th international conference on Sentiment Analysis and Deep Learning, ICSADL 2025

作者： Rajalakshmi, N.R. Sharmila, L. Prabu, S. Veeramakali, T. Arulkumaran, G. Chourasia, Pranshu Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu India School of Computing Srm Institute of Science and Technology Department of Computing Technologies Kattankulathur Chennai India School of Computing Srm Institute of Science and Technology Department of Data Science and Business Systems Kattankulathur Chennai India School of Computing and Information Technology Reva University Karnataka Bangalore560064 India

ISBN: (纸本)9798331523923

the HVAC system, energy storage building, distributed power supply, and other equipment are integrated into the scheduling algorithm, which is aimed at reducing household electricity consumption. It is also assumed that users can provide energy to the grid according to their own conditions. Taking electricity cost and comfort level as optimization targets, a home energy optimization control model for the coordinated management of hybrid energy sources is built. A smart scheduling mechanism based on the improved adaptive particle swarm optimization approach is proposed in order to derive the best time intervals for electric appliances, necessary power for the control of the room temperature for every time frame, and power for charging and discharging of the storage battery at various moments. Simulation results show that through the incorporation of distributed photovoltaic power generation, backup storage by battery, and home energy optimization control, the system efficiently balances between user comfort and electricity consumption. this offers great technical support to the development of home energy management systems. By using time-of-use electricity price for energy acquisition and supply, the optimization control goal is minimizing both power use and cost as well as preserving comfort levels. the hybrid energy management's proposed home energy optimization control model uses an adaptive particle swarm optimization algorithm to find the optimal operation schedules of the electrical appliances, the required power for temperature control in a room, and the charge/discharge power level of the storage battery at each time interval. As per the optimization principle, the proposed dynamic programming algorithm converts the multi-stage problem into a sequence of single-stage problems and solves them separately. this method successfully resolves intricate problems that cannot be addressed through greedy algorithms or divide-and-conquer. In this research, management ac

关键词： Decision making

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Impact Analysis of Short Circuit Current Limit on Damping Phenomenon for Different PV Penetration Levels 4

Impact Analysis of Short Circuit Current Limit on Damping Ph...

引用

4th international conference on Robotics, Electrical and Signal Processing Techniques, ICREST 2025

作者： Chowdhury, Rafiqul Islam Talha, Abu Al-Greer, Maher Ahmad, Shameem Hossin, Farzana School of Computing Engineering & Digital Technologies Teesside University MiddlesbroughTS1 3BX United Kingdom Dhaka1229 Bangladesh

ISBN: (纸本)9798331530938

this paper presents a transient analysis of the frequency response in a power system under four different scenarios. the study considers the integration of photovoltaic (PV) systems and the utilization of a Static Var Compensator (SVC), each leading to distinct frequency response behaviors during pre-fault, fault, and post-fault conditions. the results demonstrate that the frequency response remains within the permissible limits defined by the UK's grid code, ensuring compliance with regulatory standards. Additionally, the inclusion of PV integration introduces significant damping effects, which can be effectively mitigated by incorporating an SVC rated at 150% of the inverter's short circuit current or by increasing the inverter's short circuit current to 200% of the rated value. these findings provide valuable insights for managing frequency response in power systems with PV integration, enabling system operators to maintain stable and compliant operations. © 2025 IEEE.

关键词： Transient stability

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Group authentication algorithm based on region grouping and aggregate signcryption 4

Group authentication algorithm based on region grouping and ...

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4th international conference on Network Communication and Information Security, ICNCIS 2024

作者： Li, Yong Gu, Jian Qiu, Jinyi He, Wenbo Zuo, Jiashuo State Grid Shaoxing Power Supply Company Zhejiang Shaoxing312000 China Department of Electronic and Communication Engineering North China Electric Power University Hebei Baoding071003 China

ISBN: (数字)9781510688261

ISBN: (纸本)9781510688254

With the rapid development of the power Internet of things and the increasing number of IoT devices and application scenarios, new requirements are put forward for the reliability and efficiency of equipment access certification. Aiming at the problems of low efficiency and malicious attack of traditional authentication methods, this paper proposes a group authentication algorithm based on regional grouping and aggregate signcryption. Firstly, according to the characteristics of IoT devices, a distributed authentication scheme based on regional grouping is designed. then each group relies on aggregation signcryption technology for group authentication of IoT devices. Finally, the calculation and communication cost of the algorithm are compared and analyzed. the results show that the proposed algorithm can improve the authentication efficiency. © 2025 SPIE.

关键词： Network security Computer security Internet of things Local area networks Data transmission Information security Telecommunications Zinc computing systems Fiber optic gyroscopes

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