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检索条件"任意字段=8th International Conference on Modeling Simulation and Applied Optimization, ICMSAO 2019"

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2019 8th international conference on modeling simulation and applied optimization, icmsao 2019

2019 8th International Conference on Modeling Simulation and...

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8th international conference on modeling simulation and applied optimization, icmsao 2019

ISBN: (纸本)9781538676844

the proceedings contain 168 papers. the topics discussed include: a model order reduction technique based on balanced truncation method and artificial neural networks;a novel host readiness factor for energy-efficient VM consolidation in cloud data centers;multi-scale LPQ-DCT for image forgery detection;continuous non-invasive blood pressure monitoring device;3d-finite element analysis (FEA) of glass fiber reinforced polymer (GFRP) reinforced concrete members;a big data visualization layer meta-model proposition;and on the use of underground conduits as potential means for transmitting data.

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Gas Scheduling optimization Algorithm Integrating Knowledge and Dynamic Programming 24

Gas Scheduling Optimization Algorithm Integrating Knowledge ...

引用

8th international conference on Computing and Data Analysis, ICCDA 2024

作者： Sheng, Gang Sun, Yanguang Hao, Xiaodong Wang, Yushi Zhang, Yixuan State Key Laboratory of Metallurgical Intelligent Manufacturing System Beijing China Automation Research and Design Institute of Metallurgical Industry Co. Ltd. Beijing China Central Iron & Steel Research Institute Beijing China China Iron & Steel Research Institute Group Beijing China

ISBN: (纸本)9798400710445

Regarding the gas scheduling issue in the coal gas systems of steel enterprises, a gas scheduling optimization model is proposed based on the multi-input and multi-output characteristics of the gas system. this model combines knowledge-based and dynamic programming approaches, utilizing production experience to establish scheduling knowledge. the model calculates the scheduling results under two scenarios: non-optimized and optimized, across various time dimensions (1 minute, 15 minutes, 30 minutes) and different production conditions (with and without blast furnace maintenance). the results from simulation experiments with field data demonstrate the model’s timeliness and practicality, providing a reasonable guide for developing gas system schemes. this model is particularly suitable for steel production enterprises with no gas holders and significant pipeline pressure fluctuations, offering a scientific and effective guidance method. this research can be applied to solve energy optimization problems in complex production systems and scenarios. © 2024 Copyright held by the owner/author(s).

关键词： Blast furnaces

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A General Pattern of Permanent Magnet Arrangement for Design optimization of a Reluctance Magnetic Gear with Enhanced Torque Density for Electric Vehicles 8th

A General Pattern of Permanent Magnet Arrangement for Design...

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8th international conference on Life System modeling and simulation, LSMS 2024 and 8th international conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

作者： Bi, Yanding Fu, Weinong Niu, Shuangxia Huang, Jiahui Department of Electrical and Electronic Engineering The Hong Kong Polytechnic University Hong Kong Shenzhen University of Advanced Technology Shenzhen518055 China

ISBN: (纸本)9789819602315

A novel general pattern of permanent magnet (PM) arrangement for the optimal design of magnetic gears (MGs) is presented in this work. the proposed general pattern can generate six different types of PM arrangements. By using this optimization pattern, the PM arrangement with high torque and low torque ripple in MGs can be obtained within a short computing time. To demonstrate the effectiveness of this optimization approach, the proposed pattern is applied to a reluctance magnetic gear (RMG), a promising type of MG suitable for power transmission applications in lightweight electric vehicles (EVs). the transmission torque and torque ripple characteristics of the RMG model are evaluated using finite element analysis (FEA), while its design optimization is performed utilizing a non-dominated sorting genetic algorithm II (NSGA-II) method. the superiority of this general pattern is demonstrated through a comparative analysis between the proposed RMG and a conventional RMG model. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Permanent magnets

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A Quantum-Like Human Learning optimization Algorithm 8th

A Quantum-Like Human Learning Optimization Algorithm

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8th international conference on Life System modeling and simulation, LSMS 2024 and 8th international conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

作者： Wang, Ling Huang, Yi Qian, Chaolin Kang, Xing Zhang, Anfa Pardalos, Panos M. Fei, Minrui Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronics Engineering and Automation Shanghai University Shanghai200444 China Sino-European School of Technology Shanghai University Shanghai200444 China Center for Applied Optimization Department of Industrial and Systems Engineering University of Florida GainesvilleFL32611 United States

ISBN: (纸本)9789819602933

Human Learning optimization (HLO) is a novel potential and promising meta-heuristic, which is developed based on a simplified human learning model. In recent years, the hypothesis that the human cognitive process obeys the laws of quantum rather than classical probability has been successfully used to explain a variety of seemingly "irrational" judgment and human decision-making behaviors, and the independent evidence for this hypothesis has been provided from different experiments. Inspired by this hypothesis, this paper introduces a quantum cognition model of humans into HLO and proposes a quantum-like human learning optimization algorithm (QHLO), in which the belief and its change in human brains during the learning process is simulated and implemented in the search of the algorithm. the developed QHLO is validated on the benchmark functions, and the performance is compared with one recent HLO variants, two quantum-inspired meta-heuristics and two recent binary meta-heuristics. the experimental results show that that the presented QHLO inherits the advantages of HLO and has better global search ability as its diversity is further enhanced with the integration of the quantum cognition model. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： optimization algorithms

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8th international conference on applied Cognitive Computing, ACC 2024, and 26th international conference on Artificial Intelligence, ICAI 2024, held as part of the World Congress in Computer Science, Computer Engineering and applied Computing, CSCE 2024

8th International Conference on Applied Cognitive Computing,...

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8th international conference on applied Cognitive Computing, ACC 2024, and 26th international conference on Artificial Intelligence, ICAI 2024, held as part of the World Congress in Computer Science, Computer Engineering and applied Computing, CSCE 2024

ISBN: (纸本)9783031856273

the proceedings contain 37 papers. the special focus in this conference is on applied Cognitive Computing. the topics include: Assessing Information Influence for Node Attribute Prediction;in-Vehicle Sensing Platform for the Inference of Older Drivers’ Mild Cognitive Condition;infusing Human Feedback into Intermediate Prompting Steps of Large Language Models;experimental Analysis of Contemporary Trends, Performance, and Limitations in Graph Embeddings: A Concise Review;a Secure Self-Adaptive System in Applications of Cognitive Computing;revisiting the Nexus Between Handwriting and Personality: Graphology;from Static Graph Attention Generation to Dynamic Graph Attention Coefficient;An Integrated Approach for AI-Assisted Survey Systems Using Deterministic and Nondeterministic Models;a Voxel-Representation-Based Data Generator of Adversarial Objects for Robotic Manipulators;an Analysis of Different Information Granularity Distribution Protocols to Improve Consistency in Intuitionistic Reciprocal Preference Relations;enhancing Differential Evolution for Neural Network optimization through Boundary Individual Consideration;predictive modeling of Shading Effects on Photovoltaic Panels Using Regression Analysis;enhancing Cultural Algorithm Guided Policy Gradients with Parameter-Based Exploration through Topographic Knowledge and Adaptive Weighting;Enhancing Clinical Documentation through NLP-Driven Disease Categorization and Visualization: A Case Study Utilizing the Llama2 AI Model;automatic Modulation Recognition: A Hybrid Approach Using Deep Learning and K-Means Clustering;An ISR Asset Planning Application;causal Discovery with Interactive Human Inputs;implementation of a Lightweight Gradient Descent Trained Expert System Algorithm;Leveraging JSBSim and Gymnasium: A Reinforcement Learning Approach for Air Combat simulation;orthogonal Activation Functions in Neural Networks: Utilizing Chebyshev, Legendre, and Hermite Polynomials;XAI-Based Assessment of Software Vulnerabil

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modeling and simulation of symmetric diffusion 8

Modeling and simulation of symmetric diffusion

引用

8th international conference on modeling simulation and applied optimization, icmsao 2019

作者： Zahri, Mostafa Department of Mathematics Research Group MASEP University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9781538676844

In this paper, we solve evolutionary partial differential equations for simulating symmetric diffusion. By means of domain decomposition method, we numerically solve and computationally analyze the adveclion diffusion problem. We combine the domain decomposition method for the lime-space integration and a Barycentric interpolation method for approximating interface solutions. the solution is carried out as piecewise function on all subdomains and the interface ones. Finally, different types of symmetric diffusions are simulated. © 2019 IEEE.

关键词： Diffusion

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On modeling of substrate/buffer loading in GaN HEMT using grey-Wolf optimization technique 8

On modeling of substrate/buffer loading in GaN HEMT using gr...

引用

8th international conference on modeling simulation and applied optimization, icmsao 2019

作者： Jarndal, Anwar H. Al Sabbagh, Mohamad B. Electrical and Computer Engineering Department University of Sharjah Sharjah27272 United Arab Emirates

ISBN: (纸本)9781538676844

In this paper, four different equivalent circuit models to describe substrate/buffer loading effect in GaN HEMT on Si substrate have been investigated. the effect is characterized by Z-parameter measurements of open de-embedding structure for the considered device. A meta-heuristic optimization techniques of Grey-Wolf has been utilized to extract optimal values for the model elements. the models are validated by comparing their simulation results with the measured data. the extraction results are evaluated in terms of their accuracy and rate of convergence. © 2019 IEEE.

关键词： Gallium nitride

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Aerodynamics optimization of RC plane winglet 8

Aerodynamics optimization of RC plane winglet

引用

8th international conference on modeling simulation and applied optimization, icmsao 2019

作者： Azeez, Abid Abdul Gadala, Mohamed Khudhiri, Nasr Al Dol, Sharul Sham Department of Mechanical Engineering Abu Dhabi University Abu Dhabi United Arab Emirates

ISBN: (纸本)9781538676844

this project deals with understanding the various steps involved in performing finite element analysis of computational fluid mechanics systems to enhance the aerodynamics performance of the RC plane for SAE competition. the analysis is conducted for the complete airplane and for the wing optimization. Various modifications are applied to the wing and is analyzed first and then the best cases are applied to the whole airplane. the steps include creating a modeling plan, material selection, geometric modeling, model meshing, applying boundary conditions, and obtaining the required results by solving the models. the software used to conduct the finite element analysis is Workbench. Once the results are obtained, model and result verification are done to validate the data. It is concluded that the airplane-45 degrees winglet has the highest lift force with the minimum drag. © 2019 IEEE.

关键词： Computational fluid dynamics

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A recursive optimization algorithm for a surveillance of a convex area 8

A recursive optimization algorithm for a surveillance of a c...

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8th international conference on modeling simulation and applied optimization, icmsao 2019

作者： Maarouf, Ali Ko, Wonsuk Nouh, Adnan S. Electrical Engineering King Saud University Riyadh Saudi Arabia

ISBN: (纸本)9781538676844

In this paper, the problem of optimal coverage of an area using a swarm of Unmanned Aerial Vehicles (UAVs) for aerial surveillance purposes is presented. Each UAV is equipped with downwards facing camera. A recursive online optimization algorithm has been developed to find the minimum number of UAVs alongside their location while maximizing the coverage-quality criterion and the percentage of the covered surveilled area. Finally, simulation has been done on a convex region of interest with an area about 0.5 kilometer square. the numerical results show that 10 UAVs was able to cover 95% of the studied area with 62% of the coverage quality criterion. © 2019 IEEE.

关键词： Image segmentation

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Solving DEA models in spreadsheets and modeling languages 8

Solving DEA models in spreadsheets and modeling languages

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8th international conference on modeling simulation and applied optimization, icmsao 2019

作者： Jablonsky, Josef Department of Econometrics University of Economics Prague Praha 313067 Czech Republic

ISBN: (纸本)9781538676844

Data envelopment analysis (DEA) models are tools for efficiency and performance evaluation of a set of decision-making units (DMUs). they are formulated as linear programming problems that have to be solved for each DMU of the given set. the paper discusses problems with solving DEA models and presents an original system written in LINGO modeling language and using MS Excel as the user's interface. this system covers main DEA models including multiplier and envelopment models, models for ranking of DMUs, network models, etc. Depending on the version of the LINGO system the DEA solver can analyze problems from 200 until the unlimited number of DMUs. © 2019 IEEE.

关键词： Data envelopment analysis

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