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共 3716 条记录，以下是71-80 订阅

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Heat Conduction Based Topological Design Evaluation for Additive Manufacturing 20

Heat Conduction Based Topological Design Evaluation for Addi...

引用

20th International Bhurban conference on Applied Sciences and Technology (IBCAST)

作者： Arshad, Maiyda Ullah, Baseer Nazir, Muhammad Babar Ctr Excellence Sci & Appl Technol Islamabad Pakistan

ISBN: (纸本)9798350308266;9798350308259

Topology optimization is an effective technique for designing optimal material distributions within a given domain to achieve desired performance. this paper is based on the evaluation of a heat conduction based optimized design for additive manufacturing by using three popular topology optimization methods namely: the Solid Isotropic Material with Penalization (SIMP) method, the Level Set (LS) method and the Radial Basis Function (RBF) based level set method. For all these methods, the equations related to the thermal system are solved with finite element method for evolution of topological sensitivities. the optimization formulation comprises of heat transfer potential as an objective function and the maximum material volume as a design constraint. the optimal designs obtained are critically evaluated with respect to the requirements of additive manufacturing. Several numerical examples with different loads and constraints are presented to compare the performance of the three topology optimization methods in terms of the quality of optimized designs that are appropriate for additive manufacturing.

关键词： topology optimization level-set method heat conduction finite element method additive manufacturing

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Algorithm-based Wide-Band Impedance Matching Network Synthesis and optimization 20

Algorithm-based Wide-Band Impedance Matching Network Synthes...

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20th International conference on Synthesis, modeling, Analysis and Simulation Methods and Applications to Circuit Design, SMACD 2024

作者： Michailidis, A. Noulis, T. Aristotle University of Thessaloniki Electronics Laboratory Department of Physics 54124 Greece

ISBN: (纸本)9798350351927

In this work, an algorithm-based methodology for wide-band impedance matching is presented. the proposed methodology is independent of the selected circuit under-test and the application frequency. the presented methodology is oriented towards novel algorithmic design approaches, minimizing the design iterations between component tuning and simulation. the developed algorithms exploit network theory to create cost functions, capable of optimizing the synthesized matching network component and bandwidth wise. Each algorithm can be applied as a standalone, without interfering with the circuit under-test while its generic nature provides high scalability, enabling accurate and fast multi-stage circuit impedance matching. © 2024 IEEE.

关键词： Cost functions

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Resilience-Based Workforce Routing and Scheduling Problem in Substation system Emergency Operation 20

Resilience-Based Workforce Routing and Scheduling Problem in...

引用

IEEE 20th International conference on Automation Science and Engineering (CASE)

作者： Liang, Tianbao Liu, Yaping Xu, Zhanbo Wu, Jiang Zhao, Haoming Guan, Xiaohong Xi An Jiao Tong Univ Moe Klinns Lab & Syst Engn Inst Xian 710049 Peoples R China Tsinghua Univ Ctr Intelligent & Networked Syst CFINS Dept Automat TNLIST Beijing 100084 Peoples R China

ISBN: (纸本)9798350358513;9798350358520

Global climate changes have increased the frequency and consequences of disasters, which affects the stable operation of the electric power network. thus, substation system as a significant part of electric power network, its optimal emergency operation facing disaster has attracted much attention. this paper focuses on the workforce routing and scheduling problem (WRSP) in the substation system emergency operation, which is formulated as a mixed integer linear programming problem with the objective of maximizing system resilience. Task association constraint model and technicians routing constraint model are established to describe the cooperative relationship between technicians of different crews and the complex relationship between tasks respectively. Task and feeder output correlation constraint model is established to correlate the execution of tasks in continuous time with the discrete time output of the substation feeders. In this way, the technician assignment is independent of time and the problem can be efficiently solved by optimization solver. the performance and effectiveness of the developed method is demonstrated using a practical case study. the results show that the developed model can effectively coordinate technicians and tasks, and improve the resilience of this system to disasters.

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Economic Prospects of Flexible Nuclear Energy Operation Under Different Market Conditions 20

Economic Prospects of Flexible Nuclear Energy Operation Unde...

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20th International conference on the European Energy Market (EEM)

作者： Grotle, Anders Olai Dyrkolbotn, Simen Hjelmeland, Martin Nodland Noland, Jonas Kristiansen Korpas, Magnus Norwegian Univ Sci & Technol NTNU Dept Elect Energy Trondheim Norway

ISBN: (纸本)9798350381757;9798350381740

the urgent need for low-carbon energy has led to the rise of wind, solar, and hydropower. However, the irregularities of weather-dependent renewables, coupled with rising energy demand, call for including firm, dispatchable low-carbon sources. Nuclear energy, including advanced (Gen. IV) reactors, offers significant potential to complement renewables, ensuring a stable and adaptable energy system. In this paper, several advanced reactor concepts are analyzed in a Pyomo-based optimization model environment. We evaluate their flexibility and compare their potential utilization factors, including value factor (VF), capacity factor (CF), and levelized cost of electricity (LCOE) under different market conditions at three price volatility levels. Our findings highlight how performance characteristics like output power, ramp rate, and thermal energy storage (TES) impact their efficacy. Generally, both the VF and LCOE increase while CF decreases at higher market volatility, indicating fewer operating hours to capitalize on high demand and peak prices. the VF-adjusted LCOE (VFALCOE) metric illustrates this effect. For Moltex Energy's 900-MW TES concept, CF dropped from 100 % to 83.6 %, and LCOE rose from $85/MWh to $91/MWh from low to high volatility. Nevertheless, the VF increase from 106% to 151 %, resulting in a VFALCOE of $61/MWh for high volatility, highlighting the benefits of strategic electricity production.

关键词： Nuclear energy flexible operation optimization generation IV reactors thermal storage small modular reactor

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optimization for regional examination centers design considering multiservice collaboration 20

Optimization for regional examination centers design conside...

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IEEE 20th International conference on Automation Science and Engineering (CASE)

作者： Sun, Tianjiao Deng, Yewen Zhou, Liping Shanghai Jiao Tong Univ Sino US Global Logist Inst Shanghai 200030 Peoples R China

ISBN: (纸本)9798350358513;9798350358520

Medical examinations play a crucial role in medical diagnosis and treatment. With the advancement of internetbased healthcare services and the implementation of a hierarchical medical system, it becomes imperative to redesign the regional medical examination center to meet patients' diverse service requirements. In this paper, we study the problem of redesigning the examination centers considering the heterogeneity of patient examinations. A mixed-integer programming model is established to determine the location and capacity of new facilities and the expansion of existing facilities to minimize costs associated with travel and round-trips. the commercial solver Gurobi is used to solve the model. Finally, numerical experiments are conducted using real data from the Pudong New Area of Shanghai to demonstrate the effectiveness of the proposed approach. the experiment results indicate that our method can make patients who need multiple examinations visit the hospital only once.

关键词： Integer programming

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modeling, Analysis and optimization of Low-Altitude Air Traffic Control in Joint Radar and Communication Networks 20

Modeling, Analysis and Optimization of Low-Altitude Air Traf...

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20th European Radar conference, EuRAD 2023

作者： Xu, Xianzhe Li, Shikang Tao, Rentuo Chen, Yawei Xia, Linghao Yang, Yuhao Nanjing Research Institute of Electronics Technology China CETC Key Laboratory of IntelliSense Technology China Jiangsu Provincial Key Laboratory of Detection and Perception Technology China

ISBN: (纸本)9782874870743

this paper investigates the low-altitude air traffic control in joint radar and communication (JRC) networks. Small base stations (SBSs) apply JRC technology to serve unmanned aerial vehicles (UAVs) by sensing UAVs and transmitting the sensing information to the macro base station (MBS), which assists for low-altitude air traffic control. We formulate this control problem as a service strategy optimization problem, where SBSs need to perform multiple sense and communication operations within each scheduling period. the goal is to maximize the network service profit, which is obtained from serving UAVs by SBSs. We prove that the objective function of the optimization problem is submodular and then propose a greedy-based service algorithm to solve it efficiently with low complexity. the proposed algorithm provably achieves at least 1 - 1/√e of the optimum value. Simulation results show that our proposed algorithm performs close to the optimal solution with different system parameters. © 2023 European Microwave Association (EuMA).

关键词： Air traffic control

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Adaptive multi-objective optimization strategy for real-time energy management of fuel cell vehicle 19

Adaptive multi-objective optimization strategy for real-time...

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20th IEEE Vehicle Power and Propulsion conference (IEEE VPPC)

作者： Li, Sida Wei, Xuezhe Dai, Haifeng Tongji Univ Sch Automot Studies Shanghai Peoples R China

ISBN: (纸本)9798350344455

In this study, we propose an adaptive multi-objective optimization energy management strategy for optimizing the instantaneous power split in fuel-cell/battery electric vehicle. the optimization objectives include improving fuel economy, maintaining the state of charge of battery at a medium level, and extending fuel cell lifespan by suppressing dramatic changes in fuel cell power. the weighting factors of the objective functions can be dynamically adjusted based on realtime operating data of the hybrid power system. the proposed strategy is simulated and compared with a rule-based strategy under four different driving cycles. the results demonstrate that our strategy can reduce fuel consumption in varying degrees, and it allows the fluctuations in state of charge of battery to be always controlled within a reasonable range. the most outstanding aspect of this strategy is that it enables an over 80% reduction on the average variation rate of fuel cell power. Our strategy has the features of not relying on prior knowledge of the driving cycles and precise modeling of the power system, giving it great potential in real-time applications.

关键词： hybrid vehicle automotive simulation power distribution fuel cell durability multi-objective optimization

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Minimizing Power Consumption under SINR Constraints for Cell-Free Massive MIMO in O-RAN 20

Minimizing Power Consumption under SINR Constraints for Cell...

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20th International conference on Network and Service Management

作者： Kasuluru, Vaishnavi Blanco, Luis Angel Vazquez, Miguel Vaca-Rubio, Cristian J. Zeydan, Engin Ctr Technol Telecomunicac Catalunya CTTC CERCA Barcelona 08860 Spain

ISBN: (纸本)9798331505158;9783903176669

this paper deals with the problem of energy consumption minimization in Open RAN cell-free (CF) massive Multiple-Input Multiple-Output (mMIMO) systems under minimum per-user signal-to-noise-plus-interference ratio (SINR) constraints. Considering that several access points (APs) are deployed with multiple antennas, and they jointly serve multiple users on the same time-frequency resources, we design the precoding vectors that minimize the system power consumption, while preserving a minimum SINR for each user. We use a simple, yet representative, power consumption model, which consists of a fixed term that models the power consumption due to activation of the AP and a variable one that depends on the transmitted power. the mentioned problem boils down to a binary-constrained quadratic optimization problem, which is strongly non-convex. In order to solve this problem, we resort to a novel approach, which is based on the penalized convex-concave procedure. the proposed approach can be implemented in an O-RAN cell-free mMIMO system as an xApp in the near-real time RIC (RAN intelligent Controller). Numerical results show the potential of this approach for dealing with joint precoding optimization and AP selection.

关键词： Open RAN Cell-free SCA optimization

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A Reactive Power optimization Method for AC Metro Power Supply system Based on Particle Swarm optimization Algorithm 19

A Reactive Power Optimization Method for AC Metro Power Supp...

引用

20th IEEE Vehicle Power and Propulsion conference (IEEE VPPC)

作者： Feng, Ding Zhou, Haiqi Lin, Sheng Southwest Jiaotong Univ Sch Elect Engn Chengdu Peoples R China

ISBN: (纸本)9798350344455

Aiming at the problem of reactive power imbalance in AC metro, the equivalent circuit model is established by investigating the topology AC metro power supply system, and the change of reactive power in the whole day of the system is analyzed in combination with the actual operation data of the metro. the reactive power evaluation indices are proposed to evaluate the influence of reactive power on the system. To solve the problem that the power factor of the system at night does not meet the requirements and there is no available device in the line for reactive power optimization, the particle swarm optimization (PSO) is used to obtain the optimal configuration of reactive power compensation devices. the results show that the balance and optimization of reactive power can be achieved through reasonable configuration of compensation devices.

关键词： AC metro power supply system reactive power optimization particle swarm optimization algorithm

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Digital twin system for automated container terminal and a case study 20

Digital twin system for automated container terminal and a c...

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IEEE 20th International conference on Automation Science and Engineering (CASE)

作者： Bao, Xiangyu Jia, Funing Zhong, Jingshu Zhang, Lei Liu, Changhui Chen, Liang Zheng, Yu Shanghai Jiao Tong Univ Sch Mech Engn Shanghai 200240 Peoples R China Shanghai Key lab Adv Mfg Environm Shanghai 200240 Peoples R China Shandong Port Grp Co Ltd Qingdao Peoples R China Qingdao Port Int Co Ltd Qingdao Peoples R China

ISBN: (纸本)9798350358513;9798350358520

the ever-expanding scale and extensive business necessitate the comprehensive and lean management of terminal operations. As an effective bridge of cyber-physical fusion, digital twin (DT) provides revolutionary opportunities for intellectualized upgrades of terminals' operation mode. However, the complexity of diverse port elements, inter-coupled business processes, and massive but isolated information, poses challenges to DT system construction for automated container terminals (ACTs). To address these issues, this work proposes a DT modeling approach based on business decomposition and object-oriented design. then, an ACT-DT system architecture with high flexibility is proposed to orchestrate multi-source information in terminals. A case study of Qingdao port is finally presented for validation. the introduction of the ACT-DT system promotes cross- region, cross-business, and cross-source information sharing, and thus realizes the transparent management of full business processes in ACTs.

关键词： Information management

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