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检索条件"任意字段=2nd International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering"

共 1391 条记录，以下是141-150 订阅

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Dynamic Resource Allocation-Enabled distributed Learning as a Service for Vehicular Networks 2

Dynamic Resource Allocation-Enabled Distributed Learning as ...

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2nd international conference on Data Science and Information System, ICDSIS 2024

作者： Ganesan, Thirusubramanian Al-Fatlawy, Ramy Riad Srinath, Suma Aluvala, Srinivas Kumar, R. Lakshmana Cognizant Technology Solutions TX United States The Islamic University College Of Technical Engineering Department Of Computers Techniques Engineering Najaf Iraq Nitte Meenakshi Institute Of Technology Department Of Aiml Bengaluru India Sr University School Of Computer Science And Engineering Telangana Warangal India Tamil Nadu Salem India

ISBN: (纸本)9798350381665

The growth and development of 6 G networks bring a crucial task onto the table which is introducing AI to manage network functions and cope with more users in the future. distributed Learning (DL), as service to technologies, acts as one of the overriding forces motivating the development of 6 G communication system. The 6 G will help in various applications, which are a large set of services;then you will be able to manage the network in a smart and dynamic way. While relatively, many deep learning (DL) methods is deployed within the resource constrained vehicular domain, this setting nonetheless poses significant challenges. The reciprocating development of distributed computing and communication resources, like the edge-cloud continuum and integrated terrestrial-non-terrestrial networks (T/NTN), offers a solution for this. To use these resources and multiple DL methods in an integrated way, the NS becomes the best option. This paper covers the methods of DL that apply best in vehicular environments and examines NS roles alongside these methods, especially in the context of resource management which is dynamic. This research is designed to build a architecture for DL-as-a-Service (DLaaS) letting it to be hosted on a distributed network platform and allowing the implementation of DL algorithms at a proactive basis. This method, in addition to the dynamic resource allocation strategies, permits the efficient control of the different services which have different requirements. Effectiveness of the model is exhibited in a full case step by step in a vehicular T/NTN. The run-down of the DLaaS approach is perceived from its strong points, namely flexibility, performance upgrades, improved network intelligence, and they lead eventually to heightened customer satisfaction from the given cross vehicle or non cross vehicle highway traffic scenarios. © 2024 IEEE.

关键词： Customer satisfaction

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Development of Personalized Mobile Information Service Platform of University Library Based on Multi-Core Processor and cloud computing Platform 2

Development of Personalized Mobile Information Service Platf...

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2nd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Mishra, Saket Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798350347456

The library can quickly create and manage its own data center. University library will allow to maintain greater control over applications and data storage that contain sensitive private information about students. Using multi-core processors are considered the design of future product microprocessors. Not only is it a solution for Central Processing Unit (CPU) speeds, also reduces consumption because many cores at lower frequencies collectively produce less to the cores with their total computing. Existing methods are K-Nearest Neighbor (KNN) and Principle Component Analysis (PCA) is an information resources have gradually shifted from digital analog analysis the Digital libraries are beginning to enter the computing increased the cost and time. cloud computing Digital Information Resources Integration Library is suitable for architecture model applications, to provide a new solution for digital library, construction intensity and digital resource sharing. To overcome the issue in this work proposed Sequence Recurrent Neural Network (SRNN) using mobile library services, some of which can be used by various university libraries and other services already find help libraries that gather their information in a fast and time-limited way without external and time restrictions. The value of this is Help of University libraries can identify and adapt mobile processors. With these mobile initiatives, libraries can offer a wide range of mobile services to interested users. It has been shown by test results that adding processor cores to the data center increases system performance, reduces consumption, and has other benefits. © 2023 IEEE.

关键词： Program processors

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An Improved Coot Optimization Algorithm for Optimal Power Flow in Small-Scale Power System 2

An Improved Coot Optimization Algorithm for Optimal Power Fl...

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2nd international conference on distributed computing and Optimization Techniques, ICDCOT 2024

作者： Mittal, Udit Nangia, Uma Jain, Narender Kumar Delhi Technological University Electrical Engineering Department Delhi India

ISBN: (纸本)9798350382952

The economic and reliable operation of modern electricity grids relies on insights from Optimal Power Flow (OPF) studies. Implementing a robust, swift, and reliable optimization algorithm is crucial for this purpose. This paper introduces the Improved Coot Optimization Algorithm (ICOA) to address OPF challenges in small-scale power systems. Integrating Lévy flight into population initialization strategically enhances the algorithm, improving the fitness of initial Coot individuals for superior OPF outcomes. The algorithm optimizes generation costs, considering the valve-point loading (VPL) effect and technical objectives related to voltage security. Simulations on the IEEE-30 bus system demonstrate ICOA's superior performance in minimizing fuel costs, improving the voltage profile, and enhancing stability compared to existing techniques. ICOA proves to be a promising tool for small-scale power grid management, offering economic and technical benefits with fast convergence. The findings highlight ICOA as an effective approach for addressing OPF challenges in small-scale grids for the considered set of objectives. © 2024 IEEE.

关键词： Acoustic generators

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Operation Evaluation of Multi-Source Coupling Heating System Based on TRNSYS 2

Operation Evaluation of Multi-Source Coupling Heating System...

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2nd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Jia, Xinhua Liu, Jingxia Li, Baoli Yang, Peihong Zhang, Zilei Inner Mongolia University of Science and Technology School of Information Engineering Baotou China China Aerospace Science and Industry Power Technology Academy Hohhot China

ISBN: (纸本)9798350347456

In order to alleviate the heating energy consumption in hot summer and cold winter areas is generally high, a variety of complementary and coupled clean energy heating will become the main form of energy supply. Taking a building in a certain area of Baotou City as the heating research object, TRNSYS software was used to establish the system operation model. Through the analysis of the heating condition of the solar collector in parallel with the auxiliary heating unit, the annual average energy efficiency ratio (COP) of the ground source heat pump and water tank combined heating is increased by 21.2% and the energy consumption is increased by 21.2% compared with that of the whole tank heating mode. A decrease of 3.23%. And in the analysis of environmental benefits, the results show that the ground source heat pump - water tank heating is better than the whole water tank heating mode. © 2023 IEEE.

关键词： Geothermal heat pumps

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IoT Based Sustainable Live Stock Health Monitoring System 2

IoT Based Sustainable Live Stock Health Monitoring System

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2nd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Ashmitha, G. Manish Daniel, K. Saravanan, J. Ayyar, K. Jaibhavani, K.S. Srm Valliammai Engineering College Department of Electronics and Instrumentation Engineering Chengalpattu India

ISBN: (纸本)9798350347456

Agriculture is the main source of income in rural areas. Animals such as cows, buffalo, sheep and goats play an important role in rural life. They serve as a source of income. Therefore, livestock farming becomes a very important concern. Therefore, maintaining cows and barns for commercial purposes is a tedious task. The proposed model deals with livestock health monitoring. Diseases are detected using Arduino-based sensors. Energy is collected in a vibration energy harvester which serves as the input power source for the sensor array. Monitoring the health of cows with this implementation is simple rather than being a time -consuming task. Health parameters measured in real time are displayed on a thing speak cloud channel to initiate control. The obtained data are compared with the optimum values before starting the control. In this project the energy is harvested with a vibrational energy harvester. This vibrational energy collector is placed under the cow's walkway. The movement of the cow analyzes vibrations to generate energy. The simulation portion runs in ANSYS Mechanical Workbench software. © 2023 IEEE.

关键词： Rural areas

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AI-Driven Continuous Integration and Continuous Deployment in Software engineering 2

AI-Driven Continuous Integration and Continuous Deployment i...

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2nd international conference on Disruptive Technologies, ICDT 2024

作者： Mohammed, Abdul Sajid Saddi, Venkata Ramana Gopal, Santhosh Kumar Dhanasekaran, S. Naruka, Mahaveer Singh School of Computer and Information SciencesUniversity of the Cumberlands KY United States Technology Lead RaleighNC United States Technology Lead CharlotteNC United States Sri Eshwar College of Engineering Department of Ece Tamil Nadu Coimbatore India G.L. Bajaj Institute of Management Greater Noida India

ISBN: (纸本)9798350371055

AI driven Continuous Integration and Continuous Deployment is a new way of managing and continually updating a software project. This process, powered by Artificial Intelligence, automates the entire software delivery and deployment process - from code submission to monitoring and bug fixing. It eliminates manual errors and allows for multiple versions to be tested in parallel, saving time and effort. By increasing agility, it allows organizations to launch new features to production faster than ever. Continuous Integration and Continuous Deployment leverages artificial intelligence in implementation and execution. It automates the process of integration, testing, packaging and deployment. Furthermore, AI is used to detect and fix bugs which can prevent delays and costly production bugs. AI driven Continuous Integration and Continuous Deployment has become an increasingly popular development strategy. It helps reduce the overall cost and accelerate the software's production cycles, making it easier for developers to quickly get their features and services in the hands of the market. © 2024 IEEE.

关键词： Adaptive Systems Artificial Intelligence Automation cloud computing Machine Learning

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Load Balancing in cloud computing Using Multi-agent-Based Algorithms 2nd

Load Balancing in Cloud Computing Using Multi-agent-Based Al...

引用

Emergent Converging Technologies and Biomedical Systems Select Proceedings of the 2nd international conference, ETBS 2022

作者： Bhattacharjee, Shyama Barna Department of CSE UIET Kurukshetra University Haryana Kurukshetra India

ISBN: (纸本)9789819922703

In distributed environments, cloud computing is widely used to manage user requests for resources and services. Resource scheduling is used to handle user requests for resources based on priorities within a given time frame. The resource scheduling concept of a virtual machine is used to manage servers. To manage load and perform resource scheduling in a smooth manner in this paper, an attempt has been made to propose a multi-agent-based load-balancing mechanism. In a multi-agent-based load-balancing mechanism, multiple agent nodes at different layers are used to manage load and requests and increase throughput. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： cloud computing

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Design of Power grid Full-service Data Monitoring Platform Based on cloud computing 2

Design of Power Grid Full-service Data Monitoring Platform B...

引用

2nd international conference on Algorithms, Microchips, and Network Applications, AMNA 2023

作者： Li, Wei Zhang, Li Duan, Junxiang Cao, Lu Guo, Tao Customer Service Center of State Grid Tianjin300306 China Beijing China-Power Information Technology Co. Ltd. Beijing100031 China

ISBN: (纸本)9781510664791

The use of power monitoring and management system in power enterprises has significantly improved the convenience, fault tolerance, and related economic income of power grid in power supply. At present, there are still many problems in the management system, such as the lack of unified planning. Many functions related to power monitoring and management often need a lot of software to be repeatedly installed in the system to complete the functions required by customers. Meanwhile, this software often has duplicate functions. Power data can not be shared, and the upgrade of the system will encounter many obstacles. To meet the data communication requirements of component-based power monitoring and management system, this paper applies the characteristics of multi-point distribution and real-time and efficient transmission of data based on model-based information transmission. It also applies component-based data monitoring technology to complete the design. For the power data content of monitoring and calculation, a reusable framework is applied to facilitate user expansion. Users can complete the interface layout by dragging controls on the control interface of the power monitoring and management system, and then realize data customization and saving by binding the database. Finally, the monitoring of the power grid data platforms under cloud service is realized, which is conducive to the effective and timely processing of blowout power grid data. It is of great significance to the safe and stable operation of the power system. © 2023 SPIE.

关键词： distributed database systems

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Prediction of Penetration Depth Based on OWMAML 2

Prediction of Penetration Depth Based on OWMAML

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2nd international conference on Machine Learning, cloud computing, and Intelligent Mining, MLCCIM 2023

作者： Wang, Jimin Wu, Binbin Cao, Ying Zhang, Lei College of Computer and Information Hohai University Nanjing China Institute of Denfense Engineering AMS.PLA Luoyang China

ISBN: (纸本)9798350328530

Due to the lack of experimental data, it is difficult to apply machine learning or deep learning methods to conduct related research of penetration depth prediction. However, the existing few-shot learning models such as MAML are almost based on the assumption that the data is uniformly distributed, so such models also struggle to achieve success on penetrating data. In this paper, we propose an Optimization based Weighted MAML algorithm. The data is first partitioned using the K-means algorithm. Then the data from different partitions are randomly extracted and introduce the corresponding weights to train. Finally, to improve the stability of model convergence, the method is combined with an improved activation function and cosine annealing algorithm for evaluation. We compared our method with the original MAML and other existing few-shot learning methods on both concrete and tundra datasets, and the results show that the method in this paper has a relatively significant improvement in prediction accuracy and stability on both datasets. © 2023 IEEE.

关键词： Forecasting

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Research on Pin Defect Detection Algorithm of Power Transmission Line 2

Research on Pin Defect Detection Algorithm of Power Transmis...

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2nd international conference on Signal Processing and Intelligent computing, SPIC 2024

作者： Peng, Weiye Jiang, Qiang Jiang, Hui Zhang, Junwei Pu, Xudong Shenyang Ligong University School of Automation and Electrical Engineering Shenyang China Shenyang Skyeye Intelligence Cloud Information and Technology Co. Ltd Shenyang China

ISBN: (纸本)9798350368888

A pin defect detection method utilizing an enhanced YOLOv5 algorithm was introduced to enhance the efficiency of UAV inspection on overhead power transmission lines and bolster the detection rate of critical device defects within the lines. Aiming at the attributes of a sizable image dimensions and small detection target of UAV, a cascaded three-level network detection method is adopted. ConvNeXt Block was introduced to build CNeB Block and replace some C3 Block in Neck. The RepLKDeXt Block was constructed in combination with RepLKNet to replace C3 Block in the trunk and Neck, and a depth of 27×27 separable convolution was used to improve the effective receptive field and higher shape deviation. A dynamic convolution ODConv was added to replace the Neck part of the Conv, and all four dimensions of complementary attention were learned using the multidimensional attention mechanism and parallel strategy. The experimental results demonstrate that compared to the YOLOv5s network, the enhanced model achieves a mAP@0.5:0.95 of 70.5%, marking a 2.5 percentage point increase, with an AP@0.5 reaching 99.5%. Additionally, the model's computational load is decreased by 1, parameters reduced by 4.77%, effectively enhancing the detection accuracy of power transmission line pins while also improving detection speed. © 2024 IEEE.

关键词： Power transmission lines

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