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共 8519 条记录，以下是31-40 订阅

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An Adaptive Dual-Archive SPEA2 For Solving Multi-Objective Flexible Job Shop Scheduling Problems 7

An Adaptive Dual-Archive SPEA2 For Solving Multi-Objective F...

引用

7th international conference on Algorithms, computing and Artificial Intelligence, ACAI 2024

作者： Hao, Linyuan Liang, Xu Zou, Zhiyuan Computer School Beijing Information Science and Technology University Beijing China

ISBN: (纸本)9798331529314

For high-dimensional multi-objective flexible job shop scheduling problems, balancing solution diversity and convergence is crucial. However, existing studies often focus on either diversity or convergence alone, overlooking the potential of optimizing both synergistically. To address this, we introduced a multi-objective flexible job shop scheduling model with makespan, total machine energy consumption, and total machine load as the optimization objectives. We proposed an Adaptive Dual-Archive Strength Pareto Evolutionary Algorithm (ADASPEA2) to improve performance on high-dimensional multi-objective optimization problems. This algorithm proposed primary and auxiliary archives to retain elite solutions and maintain solution diversity, respectively, while dynamically adjusting an adaptive fitness threshold to balance search and convergence. Experimental results confirm the feasibility of this algorithm for multi-objective flexible job shop scheduling optimization, and benchmark tests demonstrate significant advantages in both convergence and diversity. © 2024 IEEE.

关键词： Energy utilization

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Implementaion of 3D Collaborative Object Detection Systems using RGB-D Sensors

Implementaion of 3D Collaborative Object Detection Systems u...

引用

IEEE international conference on Big Data and Smart computing (BigComp)

作者： Jun, Sungwoo Baek, Jaeuk Do, Seungwon Lee, ChangEun ETRI Intelligent Convergence Res Lab Daejeon 34129 South Korea

ISBN: (纸本)9781665475785

Recently, artificial intelligence technology has been actively applied to the defense field. In this paper, we propose a method for collaboratively detecting objects on 3D coordinates based on data collected from various viewpoints by multiple RGB-D sensors to increase object detection rates in poor warfare environments. In Chapter 2, we describe the structure, design and implementation of our Collaborative Object Detection Systems and present future research directions in Chapter 3.

关键词： artificial intelligence collaborative object military detection defense RGB-D battlefield

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Research on Resource Scheduling Method of Cloud computing Based on New Grey Wolf (NGWO) Algorithm 5

Research on Resource Scheduling Method of Cloud Computing Ba...

引用

5th IEEE international conference on Civil Aviation Safety and Information technology, ICCASIT 2023

作者： Yi, Zhao Northeast Agricultural University Harbin China

ISBN: (纸本)9798350310603

Resource scheduling stands as a pivotal concern within the realm of cloud computing. Aiming at the defects of low resource utilization in traditional cloud computing resource scheduling, a model derived from the scenario of online education video processing platform is established. Simultaneously, a new grey wolf algorithm (NGWO) is introduced to enhance the resource scheduling strategy for cloud computing. Addressing the issue of sluggish convergence, limited global search capabilities, and susceptibility to local optima in multiple iterations of the traditional GWO, the NGWO algorithm is enhanced through chaotic mapping, improving nonlinear convergence factor and introducing dynamic weight strategy. The experiments demonstrate that the NGWO algorithm exhibits superior convergence and enhanced optimization accuracy on unimodal and multimodal functions. Furthermore, the results underscore the NGWO algorithm's heightened optimization prowess in comparison to the GWO and GWO-S algorithms. © 2023 IEEE.

关键词： Cloud computing

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Task Offloading with Large Language Models in Mobile Edge computing 15

Task Offloading with Large Language Models in Mobile Edge Co...

引用

15th international conference on Information and Communication technology convergence, ICTC 2024

作者： Song, Youngjin Lee, Wookjin Lee, Sang Hyun School of Electrical Engineering Korea University Seoul Korea Republic of

ISBN: (纸本)9798350364637

bibThe rapid advancements in autonomous driving, virtual reality, and augmented reality have heightened the need for low latency and high computational power, presenting significant challenges for user devices with limited processing capabilities. Mobile edge computing (MEC) emerges as a promising solution, bringing computational power closer to users and alleviating the burden on user devices. While traditional algorithms struggle to meet the diverse requirements of MEC networks, large language models (LLMs) offer a universal problem-solving approach with their exceptional reasoning capabilities. This study explores the application of LLMs to minimize maximum latency in MEC networks, a critical metric for real-time applications. We analyze the characteristics of solutions generated by LLMs and develop specific natural language prompts to ensure compliance with communication constraints. © 2024 IEEE.

关键词： Mobile edge computing

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Development of a Large-Scale Edge Image Detection System for Intelligent Urban Disaster and Safety Control 15

Development of a Large-Scale Edge Image Detection System for...

引用

15th international conference on Information and Communication technology convergence, ICTC 2024

作者： Park, Sungsik Choi, Youngjoon Lee, Junwook Convergence Technology Research Institute AIBLab Inc. Seongnam Korea Republic of

ISBN: (纸本)9798350364637

Recently, efforts have been increasing to effectively respond to disasters and safety issues that are increasing globally through intelligent city control using AI technology and CCTV. However, there is a problem in utilizing high-cost AI service infrastructure such as many AI-embedded CCTVs or high-level cloud computing resources for large-scale city control. This paper proposes the structure of an edge image detection system and an AI processing method that provides optimal scalability and resource efficiency through distributed processing and efficient distribution of resources in an intelligent edge system. Through this, it is possible to flexibly support the application of various edge-level models while providing the economic feasibility of expanding AI-based infrastructure for future city control. © 2024 IEEE.

关键词： Gluing

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Cyber Security in Fog computing Using Blockchain: A Mini Literature Review 5

Cyber Security in Fog Computing Using Blockchain: A Mini Lit...

引用

5th international conference on Artificial Intelligence in Information and Communication (ICAIIC)

作者： Alhumam, Norah Arif Alyemni, Noura Saud Rahman, M. M. Hafizur King Faisal Univ Dept Comp Networks & Commun CCSIT Al Hufuf 31982 Al Hassa Saudi Arabia

ISBN: (纸本)9781665456456

Due to its many uses and ability to save and restore data, whether for businesses or individuals, cloud computing has become one of the mainstays in the technology world over the past few years. However, the limitations on speeds and sizes as well as the evolving of the Internet of Things made it challenging to rely on the cloud due to the extremely slow data processing. Therefore, to store and interpret the massive amount of data rapidly, programmers switched towards a new technology which is fog computing. This mini survey paper will outline fog computing as an integral part of cloud and edge computing for improving security and data protection. A systematic literature review of selected research papers that include findings and algorithms used to enhance security-related problems such as availability, latency, and intrusion detection will be discussed. This mini review paper finds out a state-of-the-art on the cybersecurity issues in fog computing using blockchain.

关键词： Fog computing Cloud computing Edge computing Security Blockchain

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Effectiveness of Virtual Realityin Improving Learning Outcomes for Children with Autism 9

Effectiveness of Virtual Realityin Improving Learning Outcom...

引用

9th IEEE international conference for convergence in technology, I2CT 2024

作者： Nushkan, M.N.M. Sumadhya, W.D. Shaveesha, A.R. Manathunga, Kalpani Chamara, Didula Gamage, Ishara Sri Lanka Institute of Information Technology Faculty of Computing New Kandy RD Malabe Sri Lanka

ISBN: (纸本)9798350394474

This research paper explores the efficacy of a virtual reality (VR) environment in enhancing learning outcomes for children with autism through a game-based approach. The study uses VR technology to create a more immersive and tailored educational experience for autistic children. The implications of this study are substantial, as they introduce a new and comprehensive approach to education for autistic children. The findings on the synergy between VR technology and personalized learning offer insights into how these components contribute to improved learning outcomes and increased engagement. As VR technology progresses, this research examines how VR can be effectively utilized as an inclusive educational strategy for children with autism. © 2024 IEEE.

关键词： Virtual reality

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Evolution of Service-Oriented computing: Integrating Quantum Techniques for Integer Factorization 9

Evolution of Service-Oriented Computing: Integrating Quantum...

引用

9th IEEE international conference for convergence in technology, I2CT 2024

作者： Salama, Reda Alghamdi, Wajdi Alsalmi, Hany M. Mayakannan, S. Taqui, Syed Noeman Deepalakshmi, R. King Abdulaziz University Faculty of Computing And Information Technology Department of Information Technology Jeddah21589 Saudi Arabia Department of Digital Transformation And Information Riyadh Saudi Arabia Vidyaa Vikas College of Engineering And Technology Department of Mechanical Engineering Namakkal Tamilnadu Tiruchengode India Saveetha Institute of Medical And Technical Sciences Saveetha School of Engineering Department of Vlsi Microelectronics Tamil Nadu Chennai602105 India The Tamilnadu Dr. Ambedkar Law University Department of Inter-Disciplinary Studies Tamilnadu Chennai India

ISBN: (纸本)9798350394474

The development of quantum computing has caught the attention of businesses that could profit from implementing quantum software. Given this, it is not out of the question that in the coming years, hybrid systems will begin to emerge, merging together both the traditional software systems of organization and new quantum ones, giving solutions to difficulties that are today intractable. Service oriented computing (soc) is a logical technique to facilitate such integration. There are some conceptual similarities between calling on a classical service and calling on a quantum service, but there are significant technological differences. This research uses the amazon braket quantum service platform and a well-known problem with a quantum solution to highlight these distinctions and the difficulties inherent in developing high-quality quantum services (integer factorization). To practice providing the factorization as a quantum service, we perform the exercise. This case study illustrates the challenges associated with adopting service-oriented computing for integrating hybrid systems based on classical and quantum principles. After conducting this study, we were able to make suggestions on where to place effort in order to bring about the most effective realization of quantum service-oriented computing. © 2024 IEEE.

关键词： Hybrid systems

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Game-theoretic Approaches for Network Pricing 15

Game-theoretic Approaches for Network Pricing

引用

15th international conference on Information and Communication technology convergence, ICTC 2024

作者： Zhu, Ruoyu Yu, Zhao Lee, Joohyun Hanyang University Dept. of Electrical and Electronic Engineering Ansan15588 Korea Republic of College of Artificial Intelligence Tianjin University of Science and Technology Tianjin300457 China

ISBN: (纸本)9798350364637

As 6G communication technology evolves, the complexity of network infrastructure introduces new challenges for pricing and resource management. This survey reviews the application of game theory in network economics, focusing on key areas such as dynamic pricing, (edge) cloud computing pricing, and two-sided pricing models. We first explore dynamic pricing strategies, analyzing how real-time adjustments based on network demand and user behavior can optimize resource allocation and maximize revenue. Next, we review research on (edge) cloud computing pricing, discussing models that account for the specific requirements of edge computing to enhance service efficiency. Finally, we examine two-sided pricing strategies, focusing on how platforms can balance supply and demand by effectively pricing interactions between different user groups. This survey aims to provide insights and directions for future research in pricing strategies as networks become increasingly complex in the 6G era. By applying game theory, we aim to outline potential approaches for developing adaptive and intelligent pricing mechanisms suitable for next-generation networks. © 2024 IEEE.

关键词： Cloud platforms

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Usage of Basic Geometrical Ideas and Principles of Symmetry for Machine Learning

Usage of Basic Geometrical Ideas and Principles of Symmetry ...

引用

2024 international conference on System, Computation, Automation and Networking, ICSCAN 2024

作者： Srivastava, Vatsal Subramanian, Sakthitharan School of Computing Srm Institute of Technology Department of Computational Intelligence Chennai India School of Computing Srm Institute of Science and Technology Department of Computational Intelligence Chennai India

ISBN: (纸本)9798331510022

The paper discusses the usage of geometric principles and theories in order to manipulate the position of decision boundary itself to classify data points belonging to two different classes. Moving away from the close relation between statistical approaches at classification, we will attempt to create a classifier that establishes a more direct connection, and works with the decision boundary. We explore binary classification problems using the dataset, compare convergence conditions and evaluate our results against some popular classifiers. © 2024 IEEE.

关键词： Adversarial machine learning

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