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检索条件"任意字段=20th Conference on System Modeling and Optimization"

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modeling of Magnetorheological Fluids Relative Magnetic Permeability by using a Neural Network approach 20

Modeling of Magnetorheological Fluids Relative Magnetic Perm...

引用

20th IEEE Mediterranean Eletrotechnical conference (IEEE MELECON)

作者： Kowol, Pawel Szczygiel, Marcin Lo Sciuto, Grazia Capizzi, Giacomo Silesian Tech Univ Dept Mechatron Fac Elect Engn Gliwice Poland Univ Catania Dept Elect Elect & Informat Engn Catania Italy

ISBN: (纸本)9781728152004

In this paper, starting from the experimental data obtained with an empirical measurement device developed for this purpose, it has been determined a simple and accurate model (based on a small number of parameters) that allows to represent the relative magnetic permeability of the magnetorheological fluids as a function of the magnetic field in which it is immersed in. the model thus obtained is in excellent agreement with the experimental data. In fact the obtained error is approximately of 8%.

关键词： magnetic permeability magnetorheological fluids Gabor system neural network

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An Algorithm for the Ancillary Services Provision by E-Mobility-based Virtually Aggregated Mixed Units

An Algorithm for the Ancillary Services Provision by E-Mobil...

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20th IEEE International conference on Environment and Electrical Engineering (EEEIC) / 4th IEEE Industrial and Commercial Power systems Europe conference (I and CPS Europe)

作者： Falabretti, Davide Gulotta, Francesco Politecn Milan Dept Energy Milan Italy

ISBN: (数字)9781728174556

ISBN: (纸本)9781728174556

the present paper deals with the provision of ancillary services to the power system through the scheduling of the charging requests of electric vehicles. the scheduling process is based on a hybridization of the Artificial Bee Colony algorithm (h-ABC). the starting of e-cars charging is supposed to be postponed according to predetermined deadlines set by users. With a precautionary approach, charging processes are assumed non-preemptable. To highlight the potential benefits of the approach in a real-life scenario, a techno- economic assessment is performed, taking as reference the rules in place in Italy and using real data from the market.

关键词： Electric vehicles ancillary services scheduling aggregation power dispatch optimization

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Towards modeling of Information Processing Within Business-Processes of Service-Providing Organizations 20th

Towards Modeling of Information Processing Within Business-P...

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20th Annual International conference on Computational Science (ICCS)

作者： Kovalchuk, Sergey, V Funkner, Anastasia A. Balabaeva, Ksenia Y. Derevitskii, Ilya, V Fonin, Vladimir V. Bukhanov, Nikita, V ITMO Univ St Petersburg Russia PMT Online Moscow Russia LLC GazpromNeft STC St Petersburg Russia

ISBN: (纸本)9783030503710;9783030503703

the paper presents an ongoing research project aimed towards the development of an approach to modeling of information spreading in complex organizations during providing service to customers and performing domain-specific business processes (BP). the approach is based on the idea of information spreading modeling and includes the view of this process in three main levels (physical, informational, and technical). the multi-layer view enables the integration and automation of obtained models in order to resolve domain-specific tasks of BP understanding, optimization, and extension. Two domain-specific case studies from healthcare and HR-management were considered within the approach proposing a way to resolve existing problems.

关键词： Business process Information processing Information system Complex network

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Performance optimization and Analysis of the Unstructured Discontinuous Galerkin Solver on Multi-Core and Many-Core Architectures

Performance Optimization and Analysis of the Unstructured Di...

引用

IEEE International conference on High Performance Computing and Communications (HPCC)

作者： Zhe Dai Liang Deng Yueqing Wang Fang Wang Ming Li Jian Zhang China Aerodynamics Research and Development Center Computational Aerodynamics Institute Mianyang China State Key Laboratory of Aerodynamics China Aerodynamics Research and Development Center Mianyang China

the discontinuous Galerkin (DG) algorithm is a representative high order method in Computational Fluid Dynamics (CFD) area which possesses considerable mathematical advantages such as high resolution, low dissipation, and dispersion. However, DG is rather computationally intensive to demonstrate practical engineering problems. this paper discusses the implementation of our in-house practical DG application in three different programming models, as well as some optimization techniques, including grid renumbering and mixed precision to maximize the performance improvements in a single node system. the experiment on CPU and GPU shows that our CUDA, OpenACC, and OpenMP-based code obtains a maximum speedup of 42.9x, 35.3x, and 8.1x compared with serial execution by the original application, respectively. Besides, we systematically compare the programming models in two aspects: performance and productivity. Our empirical conclusions facilitate the programmers to select the right platform with a suitable programming model according to their target applications.

关键词： Productivity Computational fluid dynamics Heuristic algorithms Graphics processing units Computer architecture Programming Mathematical models

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Data Prediction Model Based on LSTM Neural Network in Bridge Health Monitoring system

Data Prediction Model Based on LSTM Neural Network in Bridge...

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2020 International conference on Innovative Solutions in Hydropower and Environmental and Civil Engineering

作者： Xiao, Shihui Qiao, Shengfang Chen, Hang Liu, Xi Li, Yue Tang, Mengxiong Hu, Hesong Li, Gaotang Zhuhai da Hengqin Co. Ltd Zhuhai519000 China Guangzhou Institute of Building Science Guangzhou510440 China China Railway 20th Bureau Group Co. Ltd XiAn710000 China Guangzhou Construction Engineering Co. Ltd Guangzhou510000 China South China University of Technology Guangzhou510641 China

the abnormal value was common in bridge health monitoring system. the prediction model based on LSTM neural network in bridge health monitoring system was studied in this paper. the modeling process was discussed about LSTM neural network model. the LSTM neural network model was also used to analysis the actual data in bridge. the results indicated that the prediction accuracy of LSTM model was high. thus, the LSTM neural network could be used to analyze and predict data in bridge monitoring system. © Published under licence by IOP Publishing Ltd.

关键词： Neural network models

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Cost-benefit analysis for multiple agents considering an electric vehicle charging/discharging strategy and grid integration 20

Cost-benefit analysis for multiple agents considering an ele...

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20th IEEE Mediterranean Eletrotechnical conference (IEEE MELECON)

作者： Tookanlou, M. Bagheri Marzband, M. Al Sumaiti, A. Mazza, A. Northumbria Univ Dept Math Phys & Elect Engn Newcastle Upon Tyne Tyne & Wear England Khalifa Univ Dept Elect Engn & Comp Sci Dhabi U Arab Emirates Politecn Torino Dipartimento Energia Galileo Ferraris Turin Italy

ISBN: (纸本)9781728152004

An increasing number of electric vehicles (EVs) will be charged/discharged in EV charging stations (EVCSs) in distribution systems. Grid-2-vehicle (G2V) and vehicle-2-grid (V2G) operation of EVs are economically and technically rewarding only when an optimal G2V/V2G strategy is properly developed. In this study, a scheduling scheme is developed which mainly focus on guaranteeing the rewards of all agents (e.g EVs, EVCSs, and electricity suppliers (ESs)) participating in V2G and G2V operation. Based on the proposed strategy, EVs independently plan their charging/discharging depending on the shortest driving route and cost/benefit offered by EVCSs. Furthermore, each EVCS finds the best ES to purchase electricity from the wholesale market. the benefits of all agents in EV's V2G and G2V operation are taken into account by formulating three optimization problems. Each problem belongs to each agent. To implement the proposed strategy, a cloud scheduling system is operated to collect required information from all agents, solve the optimization problems, and ultimately send the results to relevant agents. Optimal hourly electricity prices are determined for the three agents. For simulation purposes, nine EVCSs and three ESs are facilitated for charging/discharging of EVs to visualize and validate the modeling results. the results show that by implementing the proposed strategy, the cost of EVs decreases by 18%, and the revenues of EVCSs and ESs are raised by 21% and 23%, respectively, compared to the case in which EVs do not use the proposed strategy in EV's V2G and G2V operation.

关键词： Cloud scheduling system electricity pricing electric vehicles multiple agents optimization algorithm

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GPU Parallelization and optimization of a Combustion Simulation Application

GPU Parallelization and Optimization of a Combustion Simulat...

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IEEE International conference on High Performance Computing and Communications (HPCC)

作者： Zhixiang Liao Yongzhou Liu Yonggang Che State Key Laboratory of High Performance Computing Institute for Quantum Information College of Computer National University of Defense Technology Changsha China

Graphics processing units (GPUs) are widely used in the area of scientific computing. While GPUs provide much higher peak performance, efficient implementation of real applications on the GPU architectures is still a non-trivial task. It is crucial to realize efficient solution algorithms that can better utilize GPU architectures. this paper presents our efforts in parallelizing and optimizing LESAP, a CFD application for scramjet combustion simulation, on NVIDIA GPUs. the GPU parallelization is realized based on the CUDA programming model, with a data-parallel implicit time-marching method that is efficient on the GPU architecture. Furthermore, shared memory and redundant calculation are proposed to reduce memory access overhead during GPU computation, and data transfer between CPU and GPU is optimized by packing the data to be transferred. the experimental results show that the GPU version, when runs on four V100 GPUs, achieves a speedup of 11.26 times compared to the CPU version that runs on two 24-core Intel Skylake Gold 6240R CPUs. Excellent parallel scalability across multiple GPUs is also observed.

关键词： Gold Smart cities Computational modeling Graphics processing units Computer architecture Combustion Central Processing Unit

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Analysis of Passengers' Pace Characteristics of Horizontal Passageway in Airport Landside APM system 20

Analysis of Passengers' Pace Characteristics of Horizontal P...

引用

20th COTA International conference of Transportation Professionals (CICTP) - Advanced Transportation, Enhanced Connection

作者： Luo, Yile Kong, Yaoyao Liang, Yanping Luo, Xinghua Beijing Urban Construct Design & Dev Grp Co Ltd Beijing Peoples R China Beijing Jiaotong Univ Minist Transport Key Lab Transport Ind Big Data Applicat Technol Beijing 100044 Peoples R China China Acad Urban Planning & Design Beijing Peoples R China

ISBN: (数字)9780784482933

ISBN: (纸本)9780784482933

this paper selects passengers of the horizontal passageway in the airport landside automatic people mover (APM) system as the research object, and studies the passenger's pace characteristics of the horizontal passageway in the airport landside APM system and the impact of carrying different types of trolley case baggage on passenger's pace. through field surveys, the statistics of passengers carrying baggage are analyzed, and then the overall passenger's pace characteristics in the passageway are analyzed, and the pace characteristics of passengers carrying different types of luggage are compared and analyzed. the conclusions of this paper cannot only provide a basis for the calculation of the passageway capacity, passageway design and optimization, and passenger flow organization in the landside APM system, but also enrich the researches on the factors affecting passenger's pace, and provide basic parameters for passenger microscopic simulation and passenger flow evacuation modeling.

关键词： Airports

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Hierarchical Nonlinear Model Predictive Control for an Autonomous Racecar

Hierarchical Nonlinear Model Predictive Control for an Auton...

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International conference on Advanced Robotics (ICAR)

作者： Benedikt Wohner Francisco Sevilla Benedikt Grueter Johannes Diepolder Rubens Afonso Florian Holzapfel Institute of Flight System Dynamics Technical University of Munich Germany Institute of Flight System Dynamics Technical University of Munich Germany Instituto Tecnológico de Aeronáutica São José dos Campos Brasil

ISBN: (纸本)9781665436854

this paper presents an optimization-based hierarchical motion planning and control architecture for autonomous racing that enables fast feedback times without significantly compromising on model accuracy. the online control scheme is divided into a high level NMPC for time-optimal trajectory planning and a low level NMPC for trajectory tracking using the same vehicle model. We numerically validate our approach in terms of computational efficiency and closed-loop performance in a detailed vehicle dynamics simulation environment. Despite considerable model-plant mismatches, the proposed hierarchical NMPC controller achieves a driven lap time in simulation which is only marginally slower than the theoretically optimal trajectory calculated offline via Optimal Control.

关键词： Target tracking Trajectory tracking Trajectory planning Computational modeling Computer architecture Real-time systems Numerical models

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optimization of thermal Comfort in Rifain Digital Printing: Vertical Garden with Water Wall system Concept 20

Optimization of Thermal Comfort in Rifain Digital Printing: ...

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20th Sustainable, Environment and Architecture, SENVAR 2020

作者： Hardianto, Sarining Sekar Ayu Andhari Nabila, Khadijah Ahlam Paramita, Beta Universitas Pendidikan Indonesia Indonesia

thermal comfort is a major factor for a building's design, and is associated to room temperature conditions. thermal comfort depends on climatic variables and several individual / subjective factors such as clothing, acclimatization, age, gender, level of health, and others. Measurements of thermal comfort made via Meteoblue and SunHour software at the Rifain Digital Printing location provide data including temperature, humidity, sun exposure and wind speed. the data is then synthesized using CBE thermal Comfort, a software that detects conformity to thermal comfort standards in a room. the results of measurement and data synthesis indicated that the building requires a cooling temperature of 5.2 ° C. From these results, it can be said that the thermal comfort of Rifain Digital Printing is not optimal. Improvements are needed to the existing thermal conditions. One of the efforts to optimize thermal comfort is the use of vegetation and water (Talarosha, 2005). Based on synthesis result obtained through research and data processing through literature studies, we came up with a solution, namely a vertical garden with a water wall system design as an effort to overcome the problem of thermal comfort in the Rifain Digital Printing building. © Published under licence by IOP Publishing Ltd.

关键词： Data handling

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