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Heterogeneous Edge Server and Job Allocation Based on k-means++ and Transfer Probability 21

Heterogeneous Edge Server and Job Allocation Based on k-mean...

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21st IEEE Consumer Communications and Networking conference, CCNC 2024

作者： Ogawa, Kohei Miyata, Sumiko Shibaura Institute of Technology 3-7-5 Toyosu Koto-ku Tokyo135-8548 Japan

ISBN: (纸本)9798350304572

Mobile Edge Computing (MEC) is attracting attention as a solution to increasing network traffic load. To build an MEC system, edge servers are placed on base stations and the users must be allocated to edge servers. The conventional MEC method places edge servers and allocate user jobs by using extension of k-means to minimize the number of hops between a user and servers. With this method, however, heterogeneous environments are not assumed, which means the performance difference among edge servers. When many jobs arrive at edge servers with low performance, jobs overflow and transfer to the cloud servers. The initial value dependence of this conventional method has also not discussed. We propose a method for initial edge-server placement and job reallocation in order to apply heterogeneous edge servers and initial value dependence. © 2024 IEEE.

关键词： Clustering Edge computing optimization prob-lem Queuing theory Traffic load

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Predicting Forces in the Components of the Human Upper Limb through Multibody Dynamics and optimization Techniques 21

Predicting Forces in the Components of the Human Upper Limb ...

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21st International conference on Applied Mechanics and Mechanical Engineering, AMME 2024

作者： Alhulaifi, Taha Awad, Taher H. Mohamed, Khaled T. Mechanical Department Faculty of Engineering Alexandria University Egypt

An accurate model of the human upper limb is crucial for various applications, including prosthetic development, optimizing ergonomics, and rehabilitation. The novelty of this research is to obtain a model that predicts the forces of muscles, ligaments, and joint reactions under any loading conditions, thereby enabling the prediction of musculoskeletal forces during different daily activities. For this, a multibody three-dimensional dynamic model of the human upper limb is presented to study the upper limb musculoskeletal system. The model comprises 35 muscle elements, 11 ligaments, and 7 joints. Thirty equations of motion with 73 unknowns were obtained using Newton's second law of motion. The Ariel Performance Analysis system (APAS) was utilized to record and analyze the motion of 16 bony landmarks using 8 digital video cameras with a sampling rate of 100 frames per second. The genetic algorithm (GA) and particle swarm optimization (PSO) are used to solve the redundant force problem of the model. The GA and PSO are implemented with two distinct objective functions;the first is the sum of the squared muscles' stresses. The second one is the sum of the muscles' energy consumption. The model was validated through EMG recordings of eight superficial muscles and with the available data in the literature. The results show that the inclusion of the ligaments at the GH and elbow joints in addition to the trapezoid and conoid ligaments in the model led to a more precise prediction of the muscles' force. The PSO shows more accuracy and smoothness of the predicted muscles' force, despite the GA taking more running time and requiring significant memory resources. The model also revealed that there is no great difference in the predicted muscles' force when using any of the two cost functions. © Published under licence by IOP Publishing Ltd.

关键词： Cost functions

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Determination and Characterization of Optimum Non-Linear Damping in Vehicle Suspension system 21

Determination and Characterization of Optimum Non-Linear Dam...

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21st International Engineering Research conference 2024, EURECA 2024

作者： Soong, Ming Foong Goh, Kah Yin Phang, Swee King Department of Mechanical Engineering Faculty of Engineering Universiti Malaya Kuala Lumpur50603 Malaysia School of Engineering Faculty of Innovation & Technology Taylor's University Selangor Subang Jaya47500 Malaysia

Vehicle suspension system plays a crucial role in ensuring ride comfort, stability and safety of vehicle and passengers. Damping, a critical component of suspension system, attenuates vehicle vibrations and impacts onto the vehicle structure and passengers, thereby enhancing the overall vehicle performance, namely ride comfort and road holding. Traditionally, linear damping model has been employed, however the dynamic nature of real-world driving conditions often requires a more detailed understanding of damping behaviour, particularly in non-linear regime. This paper focuses on the determination and characterization of the optimum non-linear damping profile in vehicle suspension considering vehicle ride performance criteria using a 2 degree-of-freedom quarter vehicle model and then comparing them between linear and non-linear damping regimes. A comprehensive computational mathematical model is developed in MATLAB® environment to simulate the complex interactions between the vehicle, suspension components and road input. Multi-objective genetic algorithm optimization technique is then implemented to determine the optimum non-linear damping in the form of Pareto front using MATLAB® Global optimization Toolbox by minimizing the two conflicting objectives which are vehicle body acceleration and dynamic tire load, which represents the ride comfort and road holding ability. Through computational simulation studies, the effects of non-linear damping on ride comfort and road holding ability can be evaluated and compared with linear damping model. In non-linear damping, the damping force does not increase linearly with the velocity of the suspension movement as in linear damping. Instead, the damping force changes at different rates depending on the velocity or displacement change. However, its non-linear profile remains unknown and need to be determined. Hence, the characteristic of non-linear damping is then determined through curve-fitting method, selecting a mathematica

关键词： MATLAB

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Load Flow Analysis and optimization for Solar PV Integration in Power systems

Load Flow Analysis and Optimization for Solar PV Integration...

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Learning and Technology conference (L&T)

作者： Basmah Shigdar Haya Binsalim Lina Almatrafi Salma Badaam Enfel Barkat Dept. of Electrical & Computer Engineering Effat University Jeddah Saudi Arabia

Saudi Arabia's Vision 2030 emphasizes renewable energy to drive sustainable development, particularly leveraging solar power due to abundant sunshine. However, integrating solar photovoltaic (PV) systems into existing grids presents multifaceted challenges. Voltage regulation, power quality issues, and reverse power flow disruption due to solar intermittency demand effective management strategies. Challenges, including voltage fluctuations, power quality issues, reverse power flow disruptions, and solutions like energy storage, advanced inverter control, demand response, and grid modernization, are explored to mitigate these challenges. A literature review and methodologies are presented, including PV generator modeling and power flow calculations. The proposed methodology is validated through case studies and a simulation based on the Institute of Electrical and Electronics Engineers (IEEE) 30-Bus system, showcasing differences in voltage and angle outputs across nodes with integrated PV generators.

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Optimal Bidding for a Large Battery-Electrolyzer Facility in the Day-ahead Market 21

Optimal Bidding for a Large Battery-Electrolyzer Facility in...

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21st IEEE Mediterranean Electrotechnical conference (IEEE MELECON)

作者： Miljan, Petra Tomsic, Zeljko Pandzic, Hrvoje Univ Zagreb UniZg Fac Elect Engn & Comp FER Zagreb Croatia UniZg FER Zagreb Croatia

ISBN: (数字)9781665442800

ISBN: (纸本)9781665442800

An increasing renewable energy sources (RES) penetration in the recent years has also increased the need for additional flexibility sources and technologies that increase the RES utilization. In addition to battery energy storage, electrolyzers, a technology that produces hydrogen without emitting CO2, are also receiving an increasing attention. This paper proposes a bilevel profit maximization model for a large battery-electrolyzer facility operation in the day-ahead electricity market. The upper level maximizes the overall profit of the facility, while the lower level simulates the market clearing by maximizing the social welfare. The proposed model is tested on the IEEE RTS-24 test system expanded with wind farms to replicate a modern power system. The presented case study shows how different levels of installed power capacity affect the obtained profit and discusses the battery and electrolyzer utilization.

关键词： bi-level optimization battery electrolyzer market clearing

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21st International conference on Mathematical optimization Theory and Operations Research, MOTOR 2022

21st International Conference on Mathematical Optimization T...

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21st International conference on Mathematical optimization Theory and Operations Research, MOTOR 2022

ISBN: (纸本)9783031096068

The proceedings contain 21 papers. The special focus in this conference is on Mathematical optimization Theory and Operations Research. The topics include: Noisy Zeroth-Order optimization for Non-smooth Saddle Point Problems;a Novel Payoff Distribution Procedure for Sustainable Cooperation in an Extensive Game with Payoffs at All Nodes;the Core of Cooperative Differential Games on Networks;application of the Subdifferential Descent Method to a Classical Nonsmooth Variational Problem;primal-Dual Method for optimization Problems with Changing Constraints;decentralized Convex optimization Under Affine Constraints for Power systems Control;metaheuristic Approach to Spectral Reconstruction of Graphs;variable Neighborhood Search for Multi-label Feature Selection;Multiple Project Scheduling for a Network Roll-Out Problem: MIP Formulation and Heuristic;on Solving One Spectral Problem;dispersion Problem Under Capacity and Cost Constraints: Multiple Neighborhood Tabu Search;on the Convergence Analysis of Aggregated Heavy-Ball Method;pricing in Two-Sided Markets on the Plain with Different Agent Types;on the Existence of a Fuzzy Core in an Exchange Economy;preface;on a Nonconvex Distance-Based Clustering Problem;optimal Arrivals to Preemptive Queueing system;multistage Inventory Model with Probabilistic and Quantile Criteria;value of Cooperation in a Differential Game of Pollution Control.

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Prosumer and Small-Scale Prosumer Energy management system 21

Prosumer and Small-Scale Prosumer Energy management system

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21st IEEE International conference on Sciences and Techniques of Automatic Control and Computer Engineering, stA 2022

作者： Arab, Marwa Ben Rekik, Mouna Krichen, Lotfi Electrical Engineering Department Sfax Tunisia

ISBN: (纸本)9781665482615

Today, talking about energy transition occasionally means talking about ecological transition. It's the change from depending mainly on fossil fuels, to giving the greater share to renewable energy sources (RES) and plug-in electric vehicle (PEV). Thus, two terms have been appeared. Prosumer present a proactive energy producer and consumer fitted with at least one RES, and small-scale prosumer contains at least one PEV, an entity that acts as a load or a storage system while charging and discharging. The key aim of this paper is developing an Energy Management system (EMS) designed as hierarchic internal and external levels between a prosumer and a small-scale prosumer to flatten the power profiles, gain PEVs free charging and increase inhabitants' monetary profit. Particle Swarm optimization (PSO) algorithm is used to implement the suggested strategy in order to prove its efficacy. © 2022 IEEE.

关键词： Energy management systems

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Optimal Allocation of Protection and Control Devices in Distribution Networks with Microgrids 21

Optimal Allocation of Protection and Control Devices in Dist...

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21st IEEE Mediterranean Electrotechnical conference (IEEE MELECON)

作者： Reiz, Cleberton de Lima, Tayenne Dias Leite, Jonatas Boas Javadi, Mohammad Sadegh Gouveia, Clara Sofia Sao Paulo State Univ Dept Elect Engn Ilha Solteira Brazil UPorto Fac Engn Inst Syst & Comp Engn Technol & Sci Porto Portugal

ISBN: (数字)9781665442800

ISBN: (纸本)9781665442800

Protection and control systems represent an essential part of distribution networks, ensuring the physical integrity of components and improving system reliability. Protection devices isolate a portion of the network affected by a fault, while control devices reduce the number of de-energized loads by transferring loads to neighboring feeders. The integration of distributed generation has the potential to improve the continuity of energy services through islanding operation during outage conditions. In this context, this paper presents a multi-objective optimization approach for the size and allocation of protection and control devices in distribution networks with microgrids supplied by renewable energy sources. Reclosers, fuses, remote-controlled switches, and directional relays are considered in the formulation. The demand and generation uncertainties define the islanding operation and the load transfer possibilities. A genetic algorithm is presented to solve the allocation problem. The compromise programming is performed to choose the best solution from the Pareto front. Results show interesting setups for the protection system and viability of islanding operation.

关键词： Protection system planning Distribution systems microgrids genetic algorithm compromise programming

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steady-state optimization of the Configuration of the Air-Borne Liquid Cooled Vapor Cycle Refrigeration system 21st

Steady-State Optimization of the Configuration of the Air-Bo...

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21st International conference on Man-Machine-Environment system Engineering (MMESE)

作者： Pang, Liping Ma, Desheng Li, Shuxin Beijing Univ Aeronaut & Astronaut Sch Aviat Sci & Engn Beijing 100191 Peoples R China Nanjing Elect & Mech Hydraul Engn Res Ctr Nanjing 210096 Jiangsu Peoples R China

ISBN: (纸本)9789811659638;9789811659621

As an efficient cooling system, the vapor cycle refrigeration system has the advantages of high performance coefficient, small compensation loss, no engine bleed and so on. In recent years, the vapor cycle refrigeration system has made great progress in application, and the disadvantages such as poor system reliability and refrigerant leakage have been solved. Therefore, the application of the vapor cycle refrigeration system in modern helicopters is gradually increasing. Based on the multi-objective optimization genetic algorithm, the steady-state optimization of the refrigeration system configuration is carried out with the goal of low energy consumption and lightweight structure, and the refrigeration system configuration in multi complex environment is improved. The recommended system configuration is given and its applicability is verified. This study has important reference value for the design of the liquid cooled vapor cycle refrigeration system of helicopter.

关键词： Helicopter Vapor cycle refrigeration system system optimization system performance evaluation

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A Multi-Objective optimization Model for Single-Product and Multi-Warehouse Based On NSGA-II 21

A Multi-Objective Optimization Model for Single-Product and ...

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21st International Computer conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2024

作者： Hao, Li Huajian, Xie Yalin, Liu School of Artificial Intelligence and Big Data Chongqing Industry Polytechnic College Chongqing401120 China Chongqing Academy of Education Science Chongqing4500015 China

ISBN: (纸本)9798331519254

The increasing complexity of modern supply chains has amplified the challenges of warehouse allocation in e-commerce, where decision-makers must balance trade-offs between rental costs, warehouse utilization, and operational efficiency. This paper proposes a multi-objective optimization model based on the NSGA-II algorithm, which incorporates key factors such as product category correlations, rental costs, warehouse utilization, and category distribution. Unlike traditional models, this approach allows each product category to be stored in up to three warehouses, providing greater flexibility and adaptability. Experimental results using real-world data demonstrate the model's capability to generate Pareto-optimal solutions, effectively addressing conflicting objectives and offering practical, balanced, and flexible strategies for warehouse allocation. This study provides decision-makers with an advanced tool to optimize warehouse management in diverse and dynamic scenarios.. © 2024 IEEE.

关键词： Supply chains

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