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OL-CBBA: An Online Task Allocation Algorithm under Weak Communication Conditions 29

OL-CBBA: An Online Task Allocation Algorithm under Weak Comm...

引用

29th IEEE international conference on Parallel and Distributed Systems, ICPADS 2023

作者： Li, Jun Huang, Wanrong Wu, Honglin Cai, Zhongxuan Zhang, Yongjun National University of Defense Technology Institute for Quantum Information State Key Laboratory of High Performance Computing College of Computer Science and Technology Changsha China

ISBN: (纸本)9798350330717

Multiple unmanned aerial vehicles (UAVs) and multiple tasks allocation problem is difficult to solve. Existing task allocation algorithms assume that the UAVs' position is static, and cannot assign tasks with the changing UAVs' position simultaneously during task execution. Those algorithms reduce the efficiency of task allocation. In this paper, we propose an online consensus-based bundle algorithm (OL-CBBA) under weak communication for dynamic task allocation. We consider the situation that the location information of UAVs will constantly change during the dynamic execution of tasks. The algorithm first improves the static CBBA to an online algorithm by updating the task marginal score in task path. Moreover, we specify a flag for the convergence of individual tasks, allowing UAVs to start executing tasks earlier. Extensive comparative experiments prove the highly consistent efficiency of OL-CBBA under weak communication conditions. Specifically, the proposed OL-CBBA attains up to 22% improvement compared with CBBA. © 2023 IEEE.

关键词： Auction Algorithm Decentralized System Dynamic Task Allocation Weak Communication

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PSO: the Reason for the Randomicity

PSO: the Reason for the Randomicity

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international conference on Genetic and Evolutionary computing (WGEC)

作者： Renyue Xiao Chunchun Wang Jinhai Yu School of Mathematical Sciences South China University of Technology Guangzhou Guangdong China

ISBN: (纸本)9780769533346

The particle swarm optimization algorithm is a new kind of random optimization algorithm based on the swarm intelligence. It has been used in many field and it work very well. Many papers about the selection of the parameters have been written. This paper shows that the velocity v t of the PSO is cyclic when the parameters are constants. So It gives the reason for the randomicity in the PSO.

关键词： Eigenvalues and eigenfunctions Particle swarm optimization Educational institutions convergence Genetics Equations Optimization

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New 5-step discrete-time zeroing neuronet for time-dependent matrix square root finding 6

New 5-step discrete-time zeroing neuronet for time-dependent...

引用

6th international conference on Systems and Informatics, ICSAI 2019

作者： Liu, Xiao Hu, Chaowei Kang, Xiangui Mao, Mingzhi Zhang, Yunong Qiu, Binbin School of Information Science and Technology Sun Yat-sen University Guangzhou510006 China Research Institute of Sun Yat-sen University in Shenzhen Shenzhen518057 China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Guangzhou510006 China

ISBN: (纸本)9781728152561

In this paper, for the purpose of finding square root of a time-dependent matrix, a new discrete-time zeroing neuronet (DTZN) is proposed. Firstly, the problem of square root finding of time-dependent matrix is formulated. Then, an explicit continuous-time zeroing neuronet (CTZN) is derived from the problem formulation equation via vectorization technique. Furthermore, based on Taylor expansion, we present a 5-Step Zhang time-discretization (ZTD) formula. The ZTD is used to approximate the 1st-order derivative of the object, of which the truncational error is proportional to the cube of the sampling period. Finally, the 5-Step DTZN for solving the square root of a time-dependent matrix is acquired by using the presented 5-Step ZTD formula to discretize the CTZN. Theoretical analyses shown stable and convergent performance of the proposed 5-Step DTZN for solving the square root of a time-dependent matrix. Computer experiments results present the stability and convergence of the obtained DTZN for solving square root of time-dependent matrix with the maximum steady-state residual errors proportional to the fourth power of sampling period. By comparison with the DTZNs using Euler formula and the previous 5-Step discretization formula, the proposed 5-Step DTZN has an advantage in residual error. In addition, the influences of step size and sampling period are illustrated by computer experiments results. © 2019 IEEE.

关键词： Matrix algebra

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Application of Traffic Forwarding and P2P technology in Remote Experiment and Office in Universities

Application of Traffic Forwarding and P2P Technology in Remo...

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Intelligent computing, Communication & convergence (ICI3C), international conference on

作者： Jiao Zheng Chunlong Yao Yang Li Zizheng Wei School of Information Science and Engineering Dalian Polytechnic University Dalian China Dalian Cloud Force Technologies Co Ltd Dalian China

ISBN: (数字)9798350343922

ISBN: (纸本)9798350343939

In the scientific research work of universities, the demand of teachers and graduate students for remote experiment and office is becoming more and more common. The third-party remote control services currently used by most teachers and students have risks such as traffic leakage, so it is necessary to build a stable and secure remote access scheme. This paper mainly designs and implements a remote control service based on the Microsoft RDP protocol through traffic forwarding and P2P technology. Through the deployment of this service, the network traffic of teachers and students when conducting remote experiment and office is no longer restricted by third-party providers, which greatly improves information security.

关键词： Protocols Information security Telecommunication traffic Remote control convergence

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Investment in facility flexibility under uncertain competitor market entry

Investment in facility flexibility under uncertain competito...

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international conference on Engineering and technology Management (IEMC)

作者： R.M. Franza C. Gaimon Graduate School of Logistics and Acquisition Management Air Force Institute of Technology Wright OH USA School of Management Georgia Institute of Technology Atlanta GA USA

For firms competing in markets characterized by short life cycles, quick changeover of manufacturing processes from one product generation to the next is critical. Longer changeovers delay a firm's market entry. As a firms's market entry time is delayed, its opportunity to accumulate demand is diminished. The extent to which demand is lost reflects the market entry time of the firm's competitor. A model is introduced to explicitly examine the effect of uncertainty associated with a competitor's market entry time on both manufacturing and marketing strategies. The firm's objective is to maximize expected profit obtained from a series of high volume products manufactured on a single facility.

关键词： Investments Uncertainty Technological innovation Stochastic processes technology management Delay Virtual manufacturing Costs Production facilities Logistics

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A Review of Generative Image Modeling Techniques

A Review of Generative Image Modeling Techniques

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international conference for convergence of technology (I2CT)

作者： Gayashan Bombuwala Guhanathan Poravi Department of Computing Informatics Institute of Technology Colombo Sri Lanka

ISBN: (数字)9781538680759

ISBN: (纸本)9781538680766

Generative image modeling is an area of research in computer vision that many works has been conducted to address various issues that has been encountered in the domain. In this paper, we categorize review several works that has been proposed for generative image modeling. The goal of this paper is to encourage the future researchers to pursue the work through the limitations of existing generative image modeling techniques.

关键词： Generative adversarial networks Image generation Gallium nitride Neural networks Task analysis Computational modeling Generators

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Analysing How Marketing Management and Artificial Intelligence are used to Change Customer Engagement 2

Analysing How Marketing Management and Artificial Intelligen...

引用

2nd IEEE international conference on Trends in Quantum computing and Emerging Business Technologies, TQCEBT 2024

作者： Kulkarni, Yogesh Mahamuni, Archana Sane, Sandip Kalshetti, Prashant Patil, Kunal Jarad, Rajendra Subhash Ellicium Solutions India Soil School of Business Design Delhi NCR India Savitribai Phule Pune University ASM's Institute of Business Management and Research Pune India Global Business School and Research Centre Dr. D y Patil Vidyapeeth Department of Bba Pune India Dr D y Patil Institute of Management Studies Akurdi Pune India Dr. D. Y. Patil Institute of Technology Department of Mba Pimpri Pune India

ISBN: (纸本)9798350384277

The integration of marketing management and AI can transform customer engagement strategies across industries. Marketing management underpins business operations, connecting customers and boosting success. AI becomes a key digitization tool as businesses adapt to new technology, processing massive amounts of data and changing customer interactions. This study examines how marketing management and AI interact to change customer engagement dynamics. Marketing management is crucial to business efficiency, customer relations, and growth. Effective marketing strategies help businesses increase revenue, market share, and reputation. Marketing initiatives also support non-profit goals, community engagement, and social causes. Understanding AI tools for customer engagement reveals voice-activated chatbots, sentiment analysis, facial recognition, NLP, and visual search. These AI-powered tools help businesses personalize interactions, interpret customer sentiment, and streamline service delivery, improving customer *** can deliver ultra-personalized solutions, predict consumer preferences, and optimize communication channels using AI tools to improve customer engagement. Companies can boost customer satisfaction, brand loyalty, and market share by using AI-driven insights and analytics. The study explore how AI may affect customer engagement to see its transformative potential across industries. AI helps businesses analyse data, predict consumer behaviour, and personalize interactions, revolutionizing customer experience. However, data privacy, security, and ethics require responsible deployment and strategic adaptation. The convergence of marketing management and AI offers unprecedented opportunities to transform customer engagement strategies. Businesses can improve customer satisfaction, brand loyalty, and digital growth by adopting AI-driven technologies and addressing their challenges. © 2024 IEEE.

关键词： Customer satisfaction

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The convergence properties of distributed maxmin fair rate allocation algorithms

The convergence properties of distributed maxmin fair rate a...

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international conference on Communication technology (ICCT)

作者： Wangdong Qi Xiren Xie Nanjing Institute of Communications Engineering Nanjing Jiangsu China

We introduce a new conceptual framework to investigate the underlying structure of network bottlenecks in maxmin fair flow control. It is shown that a network has a hierarchical structure with regard to its bottlenecks. The number, H, of network bottleneck levels is proved to be no greater than the number, K, of network bottleneck rates. It is also shown that H can be much smaller than K. We propose a new computational model of maxmin fair rate allocation based on the structural property of network bottlenecks. It is shown that in comparison with a widely used computational model, this one provides a better description of the convergence processes of a class of distributed maxmin fair rate allocation (DMFRA) algorithms. As a natural outcome, we also obtain new and tighter upper bounds on the convergence time of these algorithms.

关键词： convergence Computational modeling Upper bound Computer networks Distributed computing Communication system control Proposals Terminology

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Enterprise ITSM Implementation Model under Social computing Mode

Enterprise ITSM Implementation Model under Social Computing ...

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international conference on Internet technology and Applications (iTAP)

作者： Liang Weng Baozhang Weng Shanghai Tontron Inf. Technol. Co. Ltd. Shanghai China Shanghai Jiaoda Withub Gen. Tech. Co. Ltd. Shanghai China

The popularization of social computing leads to the virtualization of enterprise IT resources, IT staff and IT service operation. Based on the knowledge body and best-practices from ITIL v3, this paper raised a distributed ITSM implementation model that fully incorporates social computing model, with special emphasis laid upon Extended Service Desk and IT Service Management Platform, and integration with relevant IT service resource clouds. Through brief application value analysis, this model will promote all-win cooperation between relevant parties, and help promote the adoption and application of ITSM.

关键词： Clouds Social network services Computational modeling convergence Adaptation model Portals Analytical models

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Highly Immersive Telepresence with Computation Offloading to Multi-Access Edge computing

Highly Immersive Telepresence with Computation Offloading to...

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international conference on Information and Communication technology convergence (ICTC)

作者： Younggi Kim Younghyun Joo Hyoyoung Cho Intaik Park Samsung Research Samsung Electronics Seoul Republic of Korea

ISBN: (数字)9781728167589

ISBN: (纸本)9781728199016

COVID-19 has raised the demand for non-contact interactions in most areas of human activities. One of the core technologies for non-contact interactions is telepresence that can provide truly immersive interactions between remote participants. Many telepresence approaches rely on avatar technology to provide realistic and immersive telepresence experience and hence a lot of research has been conducted on the topic of avatar creation. However, it is difficult to host avatar technology on user devices because of extremely large data and computation requirements. Cloud-based services can provide sufficient resources to manage avatars but the physical distance between the user and the cloud server introduces latencies that adversely affect service quality. In this paper, we propose a telepresence system design suitable for the multi-access edge computing (MEC) environment that can provide large processing power for avatar management with low latency so as to offer immersive telepresence experiences with high quality avatars.

关键词： Telepresence Limiting Avatars Systems architecture Servers System analysis and design Edge computing

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