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检索条件"任意字段=IEEE International Conference on Distributed Computing Systems"

共 149974 条记录，以下是4511-4520 订阅

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Optimising the Power System using Cloud-Based Energy Monitoring and Payment Processing Technologies 1

Optimising the Power System using Cloud-Based Energy Monitor...

引用

1st ieee international conference on Emerging Research in Computational Science, ICERCS 2023

作者： Chairman, M. Manoj Kumar Yadav, L. Indrapriyadarsini, H. Suma, N. Karpagam Institute of Technology Dept of Electronics and Communication Engineering Coimbatore India Kalaignar Karunanidhi Institute of Technology Dept of Electrical and Electronics Engineering Coimbatore India KIT-Kalaignar Karunanidhi Institute of Technology Dept of Electrical and Electronics Engineering Coimbatore India

ISBN: (纸本)9798350359756

The effective approach of monitoring electricity using an IOT-CLOUD computing system and an electricity sensor. The use of smart energy metres and electricity sensors in IOT-CLOUD computing-powered smart automation devices, such as smart grids, smart buildings, lighting systems, smart homes, and E-vehicles, offers a number of benefits, including reduced security risks and ways to save energy through effective monitoring and routine surveying methods using optimised power systems with intelligent, digitally integrated devices. © 2023 ieee.

关键词： Cloud computing

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Ant Colony Optimization for Resource Allocation in Cloud computing Environments 12

Ant Colony Optimization for Resource Allocation in Cloud Com...

引用

12th ieee international conference on Intelligent Data Acquisition and Advanced computing systems: Technology and Applications, IDAACS 2023

作者： Kniazhyk, Taras Muliarevych, Oleksandr Lviv Polytechnic National University Lviv79013 Ukraine

ISBN: (纸本)9798350358056

This article delves into cloud computing technologies, addressing the challenges and concerns that arise in this domain, specifically focusing on resource allocation. We investigate and compare three optimization algorithms - Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Genetic Algorithm (GA) - in the context of their applications, objectives, and mechanisms of action. Additionally, the article highlights the significance of each algorithm in optimizing cloud resources and discusses their advantages and drawbacks. For cloud computing with higher complexity, it becomes increasingly important to develop efficient strategies for managing and allocating resources, which in turn helps organizations control costs and improve performance. Prepared comparative analysis aims to provide a comprehensive understanding of the three algorithms, equipping decision-makers with the knowledge to select the most suitable optimization method for their specific cloud computing needs and challenges. © 2023 ieee.

关键词： ACo cloud computing Ga Psa resource allocation

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Utilizing AWS Cloud-Enhanced VPN and VPC Integration to Improve Data Security and Access Control in Library Management systems 2

Utilizing AWS Cloud-Enhanced VPN and VPC Integration to Impr...

引用

2nd international conference on Intelligent Cyber Physical systems and Internet of Things (ICoICI)

作者： Sahoo, Sasmita Swain, Adyasha Mohapatra, Sunil Kumar Pattanaik, Swarupa Senapati, Arpita Centurion Univ Technol & Management Dept Comp Sci & Engn Bhubaneswar India

ISBN: (纸本)9798331540661;9798331540678

Digital information exchange has become commonplace due to the growth of the internet and information technology breakthroughs. Academic institutions are placing a greater emphasis on developing digital campuses, of which digital libraries are an essential part. Though cloud computing is a well-known idea, what matters more are the security precautions performed within the cloud environment. Numerous technologies have been developed in recent years to offer cloud network security. This paper investigates the integration of Virtual Private Networks (VPNs) for improving data security and access control in library management systems, which enables logical separation between public and private clouds, to facilitate remote access to digital library resources securely and effectively. There are undoubtedly many risks to the public cloud because resources within it are accessible to everybody. With the aid of the Amazon Virtual Private Cloud (VPC), these potential risks are effectively avoided. We have presented VPC principles and examples in this article, along with an explanation of the benefits and necessity of VPC. The implementation involves creating a VPC, setting up gateways, configuring route tables, and establishing both private and public subnets. Secure Shell (SSH) keys and EC2 instances are utilized to deploy OpenVPN, followed by RDP connections. This setup provides a secure, encrypted tunnel specifically for the library management website, allowing authorized users to access resources from anywhere.

关键词： Virtual Private Network Virtual Priavte Cloud Cloud computing Digitization OpenVPN Amazon Web Service Cloud Service Cyber Security Library Management System

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Large-scale distributed Architecture for Wireless Communication Network Simulation 24

Large-scale Distributed Architecture for Wireless Communicat...

引用

24th ieee international conference on Communication Technology, ICCT 2024

作者： Xiang, Zhongqiu Liu, Xuecheng Huang, Xuemin Wang, Yunjing Zhao, Pei Jiang, Shumin Dang, Xirui Zhu, Zhihao Li, Xueying Qin, Gang China Mobile Group Design Institute Co. Ltd. Department of Network Optimization Product Beijing China China Mobile Group Design Institute Co. Ltd. Department of Business and It Development Beijing China Beijing Brigor Project Management Co. Ltd. China Mobile Group Design Institute Co. Ltd. Beijing China Center of Wireless Optimization China Mobile Group Guangdong Co. Ltd. Guangzhou China China Mobile Communications Group Co. Ltd. Department of Science and Technology Innovation Beijing China

ISBN: (纸本)9798350363760

Wireless network simulation is the main method to evaluate network performance and communication equipment to access the network. It plays an important role in the whole life cycle of wireless network. Wireless network high-precision simulation is based on electromagnetic wave principle and geometric optics principle, and accurately simulates various propagation paths of wireless electromagnetic signal in space. It is characterized by accurate calculation but high complexity. Efficient wireless network simulation technology architecture is the basis of wireless network simulation industry application. This paper presents a large-scale distributed technology architecture for wireless network simulation. The technical solution adopts the key technologies of distributed computing, service orchestration technology and balanced scheduling algorithm. This scheme realizes efficient wireless network simulation. The wireless simulation efficiency of this scheme can be increased to 0.11s in a single cell, and the simulation efficiency is increased by 63 times. It has reached the international leading level, laying a solid foundation for the large-scale application of wireless network simulation. © 2024 ieee.

关键词： Balanced scheduling distributed architecture Service orchestration Simulation efficiency Wireless communication network

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Thinking and Moving: An Efficient computing Approach for Integrated Task and Motion Planning in Cooperative Embodied AI systems (Invited Paper) 24

Thinking and Moving: An Efficient Computing Approach for Int...

引用

43rd international conference on Computer-Aided Design, ICCAD 2024

作者： Wan, Zishen Du, Yuhang Ibrahim, Mohamed Zhao, Yang Krishna, Tushar Raychowdhury, Arijit Georgia Institute of Technology AtlantaGA United States University of Minnesota Twin Cities MinneapolisMN United States

ISBN: (纸本)9798400710773

Cooperative embodied AI systems, where multiple agents collaborate to accomplish complex, long-horizon tasks, show significant promise for real-world applications. These systems integrate perception, cognition, and action through integrated task and motion planning (TAMP), leveraging the advanced reasoning and communication capabilities of large language models (LLMs). However, their efficiency is often hindered by challenges such as high computational latency and redundant communication, largely due to the reliance on LLMs for sequential planning decisions. In this paper, we aim to identify the inherent characteristics and optimization opportunities in cooperative embodied AI systems. We first present a cognitive-inspired modular framework encompassing perception, memory, communication, planning, and execution. We then conduct a detailed profiling analysis of two state-of-the-art cooperative embodied systems, revealing the significance of each module and identifying critical bottlenecks such as redundant message pre-generation and excessive LLM usage in decision-making processes. Based on these insights, we propose several model- and system-level optimizations, including a planning-first communication strategy, selective multi-agent communication, and planning-guided multi-step execution. Evaluated across long-horizon cooperative tasks, these optimizations reduce the frequency of LLM inference runs, achieving an average 3.93× speedup in end-to-end task execution. Finally, we discuss the challenges and potential directions for embodied AI computing, to enhance system flexibility, efficiency, and scalability. © 2024 Copyright is held by the owner/author(s).

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An Overview Towards the Design and Control of Standalone and Grid Connected Hybrid Energy systems and its Performance Assessment 9

An Overview Towards the Design and Control of Standalone and...

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9th international conference on Electrical Energy systems (ICEES)

作者： Roy, Amit Kumar Biswal, Gyan Ranjan Basak, Prasenjit JSS Acad Tech Educ Noida Elect Engn Dept Noida Uttar Pradesh India Veer Surendra Sai Univ Technol Burla Dept Elect & Elect Engn Burla Odisha India Thapar Inst Engn & Technol Patiala Elect & Instrumentat Engn Dept Patiala Punjab India

ISBN: (纸本)9798350348033

Hybrid renewable generators are attractive solutions to achieve sustainable and clean electric power. Such systems require proper component selection criteria and control strategies as these systems can operate in isolated and grid-connected mode. This paper aims to illustrate the design, control, and investigation of two different stand-alone distributed generation (DG) configurations based on proton exchange membrane fuel cell (PEMFC) and wind energy conversion systems (WECS). Apart from these stand-alone system configurations, the paper also investigates a grid-connected WECS-FC-based hybrid DG model in order to validate the design and control aspects of a typical grid-integrated hybrid system. A special emphasis is given to the effect of unbalance fault or a voltage sag in a grid-connected hybrid system. It is significant to state that the design of a hybrid energy system is also dependent on the control philosophy adopted. Thus, the typical control philosophy for interfacing inverter which is operating either in stand-alone or in gridconnected mode is also discussed in this paper. The above investigation studies assist the research community with the typical design calculations and also with the proposal of new fault ride-through (FRT) control schemes.

关键词： wind energy conversion system fuel cell direct power control current control hybrid generation system distributed generation

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Optimizing Edge computing for Telemedicine: A Deep Reinforcement Learning Approach to Task Offloading and Resource Allocation 6

Optimizing Edge Computing for Telemedicine: A Deep Reinforce...

引用

6th international conference on Communications, Information System and Computer Engineering, CISCE 2024

作者： Zhang, Jinhao Shi, Changfeng Li, Bingle College of Medicine and Biological Information Engineering Northeastern University Shenyang China

ISBN: (纸本)9798350353174

This study introduces an optimized Mobile Edge computing (MEC) framework specifically designed for telemedicine applications. By integrating deep reinforcement learning (DRL), we develop a system that enhances task offloading and resource management in edge computing environments. Our approach focuses on the critical needs of healthcare monitoring, such as urgency in emergency responses and sustainability in power usage. The proposed model employs a parallel processing architecture that minimizes energy consumption and processing time by intelligently managing data flow and computational tasks across multiple edge servers. Key innovations include the use of a Deep Deterministic Policy Gradient (DDPG) algorithm, which dynamically optimizes the balance between processing speed and energy efficiency, ensuring robust and timely medical services. Through extensive simulations, our model demonstrates significant improvements in cost-effectiveness and operational efficiency compared to traditional methods, making it a promising solution for future smart healthcare systems. © 2024 ieee.

关键词： Computation offloading

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Intelligent Scheduling of Floating Nuclear Reactor Operation for Implementation of distributed Smart Energy systems in Remote Coastal Locations 36

Intelligent Scheduling of Floating Nuclear Reactor Operation...

引用

36th ieee international conference on Tools with Artificial Intelligence, ICTAI 2024

作者： Alamaniotis, Miltiadis University of Texas at San Antonio Department of Electrical and Computer Engineering San AntonioTX United States

ISBN: (纸本)9798331527235

Smart energy encompasses concepts and technologies designed to ensure a sustainable energy future for humanity. One innovative solution for energy generation in isolated areas, where conventional energy sources are not readily available, is the use of floating nuclear reactors. This paper explores the development of distributed smart energy systems, specifically focusing on the deployment of movable floating reactors between multiple remote but shore accessed locations. The core of this study is a novel approach to intelligently schedule the operation of a floating reactor, which must serve various locations. The proposed method determines when the reactor will operate at a specific site and its subsequent destination. It employs a fuzzy logic system, considering multiple technical and social factors in the decision-making process. The method's effectiveness is tested in simulated scenarios involving several cities that have energy infrastructures compatible with the floating reactor. Moreover, the intelligent scheduler is compared with a fixed-time round-robin approach and demonstrated greater flexibility. Additionally, efficiency metrics applied to the simulation indicate a reduction in overall operational time (cycle) due to the intelligent scheduling system. © 2024 ieee.

关键词： Fuzzy logic

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Towards On-demand Gas Sensing 17

Towards On-demand Gas Sensing

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17th Annual ieee international conference on distributed computing in Sensor systems (ieee DCOSS)

作者： Gherman, Markus-Philipp Cheng, Yun Gomez, Andres Saukh, Olga Graz Univ Technol Inst Tech Informat Graz Austria Swiss Fed Inst Technol Comp Engn & Networks Lab Zurich Switzerland Univ St Gallen Interact & Commun Based Syst St Gallen Switzerland Complex Sci Hub Vienna Vienna Austria

ISBN: (纸本)9781665439299

Low-power operation of power-hungry MOX sensors is usually achieved by duty cycling them periodically. However, a difficulty arises if a sensor is operated at irregular time intervals due to intermittent energy availability in energy-neutral or batteryless applications. In this work, we propose a compensation method which re-maps on-demand measurements to virtually duty-cycled readings in the value domain by taking the duration of the last off-time into account. We evaluate our compensation algorithm based on Sensirion's SGP30 sensor and achieve up to 79% accuracy improvement compared to uncompensated measurements.

关键词： Sensor systems Sensors distributed computing

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A Comprehensive Literature Review on Gesture-Based Adaptive systems for Early Detection of ADHD in Children: Technical Trends and Research Directions

A Comprehensive Literature Review on Gesture-Based Adaptive ...

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2024 MIT Art, Design and Technology School of computing international conference, MITADTSoCiCon 2024

作者： Kulkarni, Abhilasha Devdatta Prasad, Jayashree Rajesh MIT Art Design and Technology University CSE School of Computing Pune India

ISBN: (纸本)9798350362879

Attention Deficit Hyperactivity Disorder (ADHD) profoundly impacts children, often extending into adulthood. Timely identification and intervention are critical. This paper explores ADHD assessment by integrating child assessment tools with advanced gesture-based systems. The Centers for Disease Control and Prevention (CDC) compiled a comprehensive manual of diverse assessment tools, meticulously designed to evaluate cognitive, motor, language, and social development. Gesture-based systems, powered by computer vision, depth sensing, and motion tracking, hold promise in refining ADHD assessment. Integration with traditional tools enables real-Time monitoring, capturing motor movements, analyzing social interactions, and assessing emotional responses. This integration enhances ADHD detection precision. This paper explores the fusion of child assessment tools and gesture-based systems, highlighting their potential to revolutionize ADHD assessment and early intervention. Research employs digital resources, including Web of Science, PubMed, Google Scholar, JSTOR, Scopus, and ieee Xplore. The goal is to illuminate gesture recognition technology's transformative role in ADHD assessment, stressing the need for comprehensive validation *** summary, this paper envisions a future where integrated assessment tools and gesture recognition technology enable more accurate, timely interventions for children with neurodevelopmental challenges. © 2024 ieee.

关键词： Diseases

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