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Research on collaborative design flatform for a certain kind of bearing-rotor system 3

Research on collaborative design flatform for a certain kind...

引用

3rd international conference on Advanced Electronic Materials, computers and Software Engineering, AEMCSE 2020

作者： Zhang, Mingshu Engineering University of Pap China

ISBN: (纸本)9781728181431

The variable reconstruction method to establish the parameterized model of a certain kind of bearing-rotor system is proposed by integrating the multisource programs, parameterized modeling and collaborative process management, a co-simulation design platform is established of the rotor system. It can inherit, fuse and reuse all kinds of design knowledge, and integrate design and simulation software, and even manage the data of design, simulation and experiment. This platform can improve the design and research efficiency of the bearingrotor system. © 2020 IEEE.

关键词： computer software reusability

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Application of computer simulation technology in food biotechnology teaching

Application of computer simulation technology in food biotec...

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1st international conference on Big Data Analytics for Cyber-Physical System in Smart City, BDCPS 2019

作者： Feng, Lisha Yunnan Open University KunmingYunnan China Yunnan Vocational and Technical College of National Defence Industry KunmingYunnan China

ISBN: (纸本)9789811525674

computer simulation use the computer modeling and simulation technology to realistically display the internal structure, working principle and related process flow of engineering technology, bioreactor, process equipment and other related equipment in a dynamic form. The professional course of food biotechnology is a very practical course. computer simulation technology will undoubtedly have a positive impact on traditional teaching methods. However, there is currently no report on the application of computer simulation technology to pharmaceutical engineering related courses. This paper takes the teaching of food biotechnology course as the research object, explores the mode of applying simulation technology to teach;promotes the teaching reform of food biotechnology course and improves the teaching level;lays a foundation for broadening the application of computer simulation technology in the course of food biotechnology. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Teaching

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Using multi-perspective modeling and holistic simulation to explore the short and long term impact of a pandemic on economic growth

Using multi-perspective modeling and holistic simulation to ...

引用

2020 Summer computer simulation conference, SCSC 2020, Held at the 2020 Summer simulation Multi-conference, SummerSim 2020

作者： Camara, Cheick A.T. Traoré, Mamadou K. Maïga, Oumar IMS CNRS UMR 5218 University of Bordeaux France Université des Sciences des Techniques et des Technologies de Bamako Mali Mali

ISBN: (纸本)9781713819462

The effects of a pandemic affect several areas of human activity. One of the key areas is production, which immediately reflects on economic growth. Through the years, theoretical and sound models have independently been produced to analyze these phenomena (disease spreading and economic dynamics) in isolation. For a holistic understanding, an exchange of information between these different models is desired. Multi-Perspective modeling and Holistic simulation address this issue. Integrators between models from different perspectives are used to achieve dynamic communication between them. Reusing the well-established SIR model to describe the spread of the disease and the well-known Prey-Predator model to define the relationship between the employment and wage rates, we show how such an approach allows exploring the impact of one phenomenon on the other, and therefore cuts the effort of building an overall understanding of complex systems. © 2020 Society for modeling and simulation (SCS) international.

关键词： Economics

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Architectural Approach to Design of a Corporative computer Network

Architectural Approach to Design of a Corporative Computer N...

引用

Automatics and Informatics (ICAI), international conference

作者： Krassimir Kolev Milen Popnikolaev Technical Faculty University of Food Technologies Plovdiv Bulgaria

This paper presents techniques for building a modern corporative computer network. The paper focuses on a real architectural approach for implementing a corporative computer network based on the use of a hierarchical network connectivity model. Requirements for a private corporate computer network are defined. A network infrastructure model of a corporative computer network is proposed. An address scheme is proposed. A topology of a computer network with scalability based on modern modules and equipment of MikroTik is synthesized. Tests in simulation environment are made.

关键词： Performance evaluation Systematics Network topology Computational modeling Scalability Redundancy Throughput

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A Mobile Robot Experiment System with Lightweight Simulator Generator for Deep Reinforcement Learning Algorithm

A Mobile Robot Experiment System with Lightweight Simulator ...

引用

IEEE international conference on Robotics and Biomimetics

作者： Yunfei Xiang Jiantao Qiu Jincheng Yu Jiahao Tang GuangJun Ge Yu Wang Huazhong Yang Department of Electronic Engineering Tsinghua University Beijing China Shanghai AI Laboratory Tsinghua University Shanghai China

ISBN: (纸本)9781665481106

More and more researchers are trying to use deep reinforcement learning (DRL) for mobile robot tasks due to its powerful inference capability. However, deep reinforcement learning requires a large amount of data for DRL training in the pre-experimental stage, which hinders the application of the algorithm. On the other hand, the inconsistency between the ROS data interface and DRL GYM-Like data interface leads to a high cost of migration of the algorithm verification. This paper proposes a fast simulator generation method using linear approximate kinematics model and bake-based lidar rendering methods to generate a fast approximate simulator used in the pre-experiment stage to solve the problem of data cost. At the same time, an experimental system design scheme that converts the ROS interface into a GYM-like interface is also proposed to simplify the deployment process of deep reinforcement learning. We evaluate our proposed method on collision avoidance tasks in a variety of kinematics models and lidar scenarios. Our Method achieves about 14.2 times kinematics simulation speedup and 2.56 times lidar rendering speedup. We open-sourced our simulation environment and robot system software at https://***/efc-robot/MultiVehicleEnv and https://***/efc-robot/NICS_MultiRobot_Platform

关键词： Deep learning Laser radar Costs Biological system modeling Reinforcement learning Kinematics Rendering (computer graphics)

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Real-Time Trajectory Adaptation for Quadrupedal Locomotion using Deep Reinforcement Learning

Real-Time Trajectory Adaptation for Quadrupedal Locomotion u...

引用

IEEE international conference on Robotics and Automation (ICRA)

作者： Gangapurwala, Siddhant Geisert, Mathieu Orsolino, Romeo Fallon, Maurice Havoutis, Ioannis Univ Oxford Oxford Robot Inst Dynam Robots Syst DRS Grp Oxford England

ISBN: (纸本)9781728190778

We present a control architecture for real-time adaptation and tracking of trajectories generated using a terrain-aware trajectory optimization solver. This approach enables us to circumvent the computationally exhaustive task of online trajectory optimization, and further introduces a control solution robust to systems modeled with approximated dynamics. We train a policy using deep reinforcement learning (RL) to introduce additive deviations to a reference trajectory in order to generate a feedback-based trajectory tracking system for a quadrupedal robot. We train this policy across a multitude of simulated terrains and ensure its generality by introducing training methods that avoid overfilling and convergence towards local optima. Additionally, in order to capture terrain information, we include a latent representation of the height maps in the observation space of the RL environment as a form of exteroceptive feedback. We test the performance of our trained policy by tracking the corrected set points using a model-based whole-body controller and compare it with the tracking behavior obtained without the corrective feedback in several simulation environments, and show that introducing the corrective feedback results in increase of the success rate from 72.7% to 92.4% for tracking precomputed dynamic long horizon trajectories on flat terrain and from 47.5% to 803% on a complex modular uneven terrain. We also show successful transfer of our training approach to the real physical system and further present cogent arguments in support of our framework.

关键词： Training Trajectory tracking conferences Computational modeling Reinforcement learning computer architecture Real-time systems

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2nd international Workshop on High Performance Computing for Advanced modeling and simulation in Nuclear Energy and Environmental Science, HPCMS 2018, and 1st international Workshop on HPC Supported Data Analytics for Edge Computing, HiDEC 2018 held at the 32nd ACM international conference on Supercomputing, ACM ICS 2018

2nd International Workshop on High Performance Computing for...

引用

2nd international Workshop on High Performance Computing for Advanced modeling and simulation in Nuclear Energy and Environmental Science, HPCMS 2018, and 1st international Workshop on HPC Supported Data Analytics for Edge Computing, HiDEC 2018 held at the 32nd ACM international conference on Supercomputing, ACM ICS 2018

ISBN: (纸本)9789813299863

The proceedings contain 20 papers. The special focus in this conference is on High Performance Computing for Advanced modeling and simulation in Nuclear Energy and Environmental Science. The topics include: Prospects for CVR-0: A prototype of china virtual reactor;Diffusion mechanism of small helium-vacancy clusters in BCC Fe and Fe-10%cr alloy;Effect of Ni and Mn on the interaction of an edge dislocation with cu-rich precipitates in BCC fe;The performance test and optimization of crystal-MD program on Tianhe-2;research on large scale parallel hydrological simulation;The study of parallelization of SWAT hydrology cycle;research on shared resource contention of cloud data center;a sequence anomaly detection approach based on isolation forest algorithm for time-series;Hourly day-ahead power forecasting for pv plant based on bidirectional LSTM;a reliability task scheduling for high-throughput computing platform;an edge computing platform for intelligent internet data center operational monitoring;topology layout technology of energy internet;big data analytics for water resources sustainability evaluation;exploring water resource changes of artificial reservoir using time-series remote sensing images from landsat sensors and in situ data;a deep learning based objection detection method for high resolution remote sensing image;a case study for user rating prediction on automobile recommendation system using mapreduce;diverse demands estimation and ranking based on user behaviors;energy aware edge computing: a survey.

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Complex Design of Granulation Units with Application of computer simulation and Software modeling: Case "Vortex Granulator" 13th

Complex Design of Granulation Units with Application of Comp...

引用

13th international conference on Modern Information Technology and IT Education, SITITO 2018

作者： Artyukhov, Artem Artyukhova, Nadiia Sumy State University Rimskogo-Korsakova Str. 2 Sumy40000 Ukraine

ISBN: (纸本)9783030468941

The article is devoted to the description of the complex method to design granulation unit, which is based on the joint use of the computer modeling results on the simulation models and software modeling based on author’s software products. The description of the software package Granulation Unit© to carrying out the structural and technological calculations for the granulation unit is given. The role of computer and software modeling in the general design algorithm of the granulation unit is shown. The optimization criteria are selected and an algorithm of design optimization for granulation unit is described using the example of the "Vortex Granulator" case. A general method of granulation unit designing "turnkey" with the use of automated design elements is presented. The results of automated calculations form the base to design an industrial granulation unit for the porous ammonium nitrate production. On the example of a specific product of the granulation unit (porous ammonium nitrate), the author’s software product is presented to determine the quality of the porous surface in the granule. © Springer Nature Switzerland AG 2020.

关键词： Granulation

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Alternative Encapsulation Material Combined with Geometric Techniques for Electric Field Mitigation Within (U)WBG Packages Under High Frequencies

Alternative Encapsulation Material Combined with Geometric T...

引用

IEEE Symposium Power Modulator

作者： Pujan Adhikari Mona Ghassemi Department of Electrical and Computer Engineering The University of Texas at Dallas Richardson TX

ISBN: (数字)9798350348538

ISBN: (纸本)9798350348545

As power modules based on (U)WBG materials gain attention for their potential to revolutionize high-voltage, high-power density applications, their optimal performance is hindered by current insulation materials. The high electric field stress at triple points (TPs) and encapsulant's diminishing breakdown field strength at high temperatures significantly limit the application of power modules to below 200°C. Therefore, alternative encapsulation materials are essential for hightemperature applications. This paper proposes a novel solution involving replacing standard silicone gel (SG) encapsulant with high-temperature encapsulation composites created by integrating micro- and nano-sized fillers into a silicone elastomer matrix. Additionally, the ceramic structure is redesigned into a mesa configuration, featuring a trench at the base of the metal electrodes. The results from modeling and simulation of COMSOL Multiphysics demonstrate that this combined approach significantly reduces field stress at TPs. Although effective at lower frequencies, further design modifications, such as altering the metalized substrate into a protruding structure, are necessary for optimal electric field mitigation at frequencies above 10 kHz. This research addresses the critical issues of high electric field values at TPs and the limited temperature tolerance of current encapsulation materials, which are challenges exacerbated under high-frequency square pulse operation. By resolving these issues, this work represents a valuable advancement in utilizing highvoltage, high-power density (U)WBG power modules at demanding frequency environments.

关键词： Encapsulation Prevention and mitigation Multichip modules Metals High-voltage techniques Elastomers High frequency Electric fields Stress Substrates

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PETAL: physics emulation through averaged linearizations for solving inverse problems 23

PETAL: physics emulation through averaged linearizations for...

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Proceedings of the 37th international conference on Neural Information Processing Systems

作者： Jihui Electrical Etienne Ollivier Richard Touret Matthew McKinley Karim G. Sabra Justin K. Romberg Jin and Computer Engineering Georgia Institute of Technology Atlanta GA Mechanical Engineering Georgia Institute of Technology Atlanta GA Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA

Inverse problems describe the task of recovering an underlying signal of interest given observables. Typically, the observables are related via some non-linear forward model applied to the underlying unknown signal. Inverting the non-linear forward model can be computationally expensive, as it often involves computing and inverting a linearization at a series of estimates. Rather than inverting the physics-based model, we instead train a surrogate forward model (emulator) and leverage modern auto-grad libraries to solve for the input within a classical optimization framework. Current methods to train emulators are done in a black box supervised machine learning fashion and fail to take advantage of any existing knowledge of the forward model. In this article, we propose a simple learned weighted average model that embeds linearizations of the forward model around various reference points into the model itself, explicitly incorporating known physics. Grounding the learned model with physics based linearizations improves the forward modeling accuracy and provides richer physics based gradient information during the inversion process leading to more accurate signal recovery. We demonstrate the efficacy on an ocean acoustic tomography (OAT) example that aims to recover ocean sound speed profile (SSP) variations from acoustic observations (e.g. eigenray arrival times) within simulation of ocean dynamics in the Gulf of Mexico.

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