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Enabling Artificial Intelligence Studies in Off-Road Mobility Through Physics-Based simulation of Multi-Agent Scenarios 17

Enabling Artificial Intelligence Studies in Off-Road Mobilit...

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ASME international Design Engineering Technical conferences / 42nd Annual computers and Information in Engineering conference (IDETC-CIE) / 17th international conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC)

作者： Young, Aaron Taves, Jay Elmquist, Asher Serban, Radu Negrut, Dan Benatti, Simone Tasora, Alessandro Univ Wisconsin Dept Mech Engn Madison WI 53706 USA Univ Parma Dept Engn & Architecture Parma Italy

ISBN: (纸本)9780791885468

We describe a simulation environment that enables the development and testing of control policies for off-road mobility of autonomous agents. The environment is demonstrated in conjunction with the design and assessment of a reinforcement learning policy that uses sensor fusion and inter-agent communication to enable the movement of mixed convoys of human-driven and autonomous vehicles. Policies are learned on rigid terrain and are subsequently shown to transfer successfully to hard (silt-like) and soft (snow-like) deformable terrains. The enabling simulation environment is developed from the high fidelity, physics-based simulation engine Chrono. Five Chrono modules are employed herein: Chrono::Engine, Chrono::Vehicle, PyChrono, SynChrono and Chrono::Sensor. Vehicle's are modeled using Chrono::Engine and Chrono::Vehicle and deployed on deformable terrain within the training/testing environment. Utilizing the Python interface to the C++ Chrono API called PyChrono and OpenAI Gym's supporting infrastructure, training is conducted in a GymChrono learning environment. The GymChrono-generated policy is subsequently deployed for testing in SynChrono, a scalable, cluster-deployable multi-agent testing infrastructure built on MPI. SynChrono facilitates inter-agent communication and maintains time and space coherence between agents. A sensor modeling tool, Chrono::Sensor, supplies sensing data that is used to inform agents during the learning and inference processes. The software stack and the Chrono simulator are both open source. Relevant movies: [1].

关键词： simulation Artificial intelligence Physics Roads Mechanical admittance Sensors Testing Engines Vehicles computer software Design modeling Autonomous vehicles Reinforcement learning American Petroleum Institute

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An H-ELM Based Equivalent Droop Control for Hybrid Power Systems 7th

An H-ELM Based Equivalent Droop Control for Hybrid Power Sys...

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7th international conference on Life System modeling and simulation, LSMS 2021, and 7th international conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021

作者： Zhang, Jianhua Zhang, Bin Gu, Hongqun Li, Bin Wang, Lei State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources North China Electric Power University Beijing102206 China School of Control and Computer Engineering North China Electric Power University Beijing102206 China State Grid Liaoning Electric Power Supply Co. Ltd. Shenyang110006 China

ISBN: (纸本)9789811672095

Primary frequency regulation plays an important role in a hybrid power system which is composed of battery energy storage systems (BESSs), photovoltaic (PV) systems and thermal power plants. Droop control is a basic primary frequency control method. In this paper, an equivalent droop control method based on hierarchical extreme learning machine (H-ELM) is proposed for hybrid power plants. Therefore the P- f droop characteristics can be fitted by an H-ELM rather than traditional fixed droop control curve. Finally, the effectiveness of the proposed method is justified by the simulation results. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Battery storage

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HTML 5-Based Learning for 3D computer Graphics and GIS 19th

HTML 5-Based Learning for 3D Computer Graphics and GIS

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19th international conference on Web-Based Learning / 5th international Symposium on Emerging Technologies for Education ICWL/SETE)

作者： Yu, Changbin Fu, Mingming Pang, Chaoyi Minist Nat Resources Key Lab Urban Land Resources Monitoring & Simulat 69 Xinwen RdLianhua St Shenzhen Guangdong Peoples R China Shenzhen Res Ctr Digital City Engn 69 Xinwen RdLianhua St Shenzhen Guangdong Peoples R China Ningbo Tech Univ Sch Comp & Data Engn 1 Qianhu South Rd Ningbo Zhejiang Peoples R China Natl Adm Surveying Mapping & Geoinformat Key Lab Digital Mapping & Land Informat Applicat Beijing Peoples R China Wuhan Univ Sch Resource & Environm Sci Wuhan Peoples R China

ISBN: (纸本)9783030669058;9783030669065

The online learning becomes more and more popular where visualization of 3D objects can be employed to lots of fields, e.g., 3D building information modeling for architecture, 3D city model for urban planning, 3D animation for film, 3D skeleton visualization of medical treatment, etc.. In tradition, the most popular tool for 3D modeling and visualization is OpenGL which is based on Client/Server. In another word, C++ code for OpenGL must be installed and configured firstly which is not convenient for new beginners. By contrast, this paper focus on visualization of 3D objects in computer Graphics and GIS (Geographic Information System) purely depending on JavaScript technology where no additional software or plugins, applet, ActiveX control is needed. Typical JavaScript libraries covers ThreeJS for computer Graphics, OpenLayers for 2D GIS and CesiumJS for 3D GIS. Based on the above libraries, e-learners could view and manipulate 3D objects in web browser (e.g., Google Chrome). Such intuitive and convenient 3D visualization and manipulation results in much more interesting for learning.

关键词： WebGL 3D computer graphics 3D GIS E-learning

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The composition of VR system and the construction of VR teaching model in innovation and entrepreneurship education 2

The composition of VR system and the construction of VR teac...

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2nd international conference on Information Science and Education, ICISE-IE 2021

作者： Li, Chuanwei Science and Technology College Gannan Normal University Jiangxi Ganzhou341000 China Umversiti Malaysia Kelantan Pengkalan Chepa Kelantan Kota Bharu16100 Malaysia

ISBN: (纸本)9781665438292

VR mainly through modeling and coding to simulate the 3 D world, through VR technology can establish multidimensional platform, realize human-computer interaction, enable users can experience the virtual world, and to apply VR technology to innovation and entrepreneurship education field, is bound to study the composition of VR system, and the application of VR tools (MUD \ MOO), build VR technology simulation system and a teaching system based on VR technology. The basic VR technology system is made up of special simulation software and 3D models. The future application of VR technology is predicted that the application of VR technology has unlimited potential, which can bring opportunities for innovation and reform for all major fields. © 2021 IEEE

关键词： computer software

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Investigation of Parasitic Background IR Radiation Levels on a Photodetector Surface in a Vacuum Cryostat

Investigation of Parasitic Background IR Radiation Levels on...

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IEEE Region 8 international conference on Computational Technologies in Electrical and Electronics Engineering, SIBIRCON

作者： Andrew R. Novoselov Peters P. Dobrovolsky Sergey V. Khryashchev Konstantin P. Shatunov Pavel A. Aldokhin Dept. of Thermal Imaging and Television Novosibirsk Branch of Rzhanov Institute of Semiconductor Physics Siberian Branch of the Russian Academy of Sciences "Technology and Design Institute of Applied Microelectronics" Novosibirsk Russian Federation Dept. of Modeling of Electrooptical Devices Novosibirsk Branch of Rzhanov Institute of Semiconductor Physics Siberian Branch of the Russian Academy of Sciences "Technology and Design Institute of Applied Microelectronics" Novosibirsk Russian Federation

ISBN: (纸本)9781665464819

The results of experimental and numerical simulations studying the stray background levels on an IR photodetector surface in a vacuum cryostat with a cylindrical diaphragm are presented in the article. The stray background value was investigated by the direct measurement with a second thermal camera pointed at the surface of the first camera’s hybrid assembly. The limitations of the experimental method are the accuracy of measuring the background level on the surface of the photodetector. It is necessary to use a cooled second thermal camera as a measuring instrument since if the temperature of the photodetector in it is higher than the temperature of studied surface, and its radiation reflected from the IR photodetector does not allow reliable results to be obtained. This method of the research makes it possible to identify technological imperfections in the design of the studied cryostats. Numerical simulation makes it possible to optimize the shape and the design of cold diaphragms, but it does not allow to analyze the contributions of various sources of parasitic radiation in the cryostat. This requires additional modeling and simulation.

关键词： Temperature measurement Shape Computational modeling Instruments Cameras Numerical simulation Reliability engineering

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Numerical simulation of Permafrost Deformation

Numerical Simulation of Permafrost Deformation

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IEEE Region 8 international conference on Computational Technologies in Electrical and Electronics Engineering, SIBIRCON

作者： Anastasiia Yu. Kutishcheva Laboratory of Mathematical Modeling of Multiphase Processes in Native and Artificial Multiscale Heterogeneous Media Trofimuk Institute of Petroleum Geology and Geophysics of Siberian Branch Russian Academy of Sciences Novosibirsk Russia

ISBN: (纸本)9781665464819

One of the important stages of studying complex geological formations, such as permafrost rocks, is numerical modeling of various physical processes occurring in them. This makes it possible to analyze geophysical fields under different action modes, as well as to estimate the effective properties of such media in dynamics. In this work, we perform numerical simulation of the stress-strain state of porous rock containing ice during thawing at discrete points in time. Thus, a stationary problem of elastic deformation at different ratios of ice and water in the pore space is solved at each stage. It should be noted that the phase transition of water contained in pores from the solid state to the liquid state is not considered, as well as hydrodynamic processes in the liquid phase, but the results obtained in earlier works are used. Based on numerical simulations of elastic deformation under uniaxial stress and shear, the effective elasticity tensors are calculated. Since various mesh artifacts may arise when building a numerical mesh model of a real porous geological medium, including at the media interfaces, we considered two variants of images: with spherical pores with smooth boundaries and a sample approximating a real medium, that is, with non-smooth pores forming cluster structures. Analysis of the results showed that mesh artifacts at the pore boundaries has a significant effect on the effective elasticity tensor. However, additional validation with physical data is necessary.

关键词： Tensors Liquids Computational modeling Media Elasticity Numerical simulation Rocks

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simulation modeling of Epidemic Risk in Supermarkets: Investigating the Impact of Social Distancing and Checkout Zone Design 21st

Simulation Modeling of Epidemic Risk in Supermarkets: Invest...

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21st international conference on Computational Science, ICCS 2021

作者： Antczak, Tomasz Skorupa, Bartosz Szurlej, Mikolaj Weron, Rafal Zabawa, Jacek Faculty of Computer Science and Management Wroclaw University of Science and Technology Wroclaw50-370 Poland Faculty of Architecture Wroclaw University of Science and Technology Wroclaw50-370 Poland

ISBN: (纸本)9783030779603

We build an agent-based model for evaluating the spatial and functional design of supermarket checkout zones and the effectiveness of safety regulations related to distancing that have been introduced after the COVID-19 outbreak. The model is implemented in the NetLogo simulation platform and calibrated to actual point of sale data from one of major European retail chains. It enables realistic modeling of the checkout operations as well as of the airborne diffusion of SARS-CoV-2 particles. We find that opening checkouts in a specific order can reduce epidemic risk, but only under low and moderate traffic conditions. Hence, redesigning supermarket layouts to increase distances between the queues can reduce risk only if the number of open checkouts is sufficient to serve customers during peak hours. © 2021, Springer Nature Switzerland AG.

关键词： COVID-19

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Research on Admittance Control of Massage Robot Based on RBF Neural Network Sliding Mode Algorithm 23

Research on Admittance Control of Massage Robot Based on RBF...

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Proceedings of the 2023 7th international conference on Electronic Information Technology and computer Engineering

作者： Mingyue Cheng School of Computer Science Hubei University of Technology China

ISBN: (纸本)9798400708305

In addressing the issues of constant force control and trajectory tracking in a robot performing massages on the human body, a robust admittance control algorithm based on the RBF neural network controller is proposed. Firstly, the admittance control strategy is employed to establish the relationship between the robot's force and position, enhancing the robot's smooth operation during the massage. Subsequently, to achieve rapid and stable tracking of the desired trajectory, the RBF neural network is utilized to mitigate modeling errors and environmental disturbances. A sliding mode robust term is introduced to enhance system robustness. simulation experiments to evaluate the disturbance rejection performance of the RBF neural network robust controller were conducted using MATLAB/Simulink. Furthermore, a massage robot platform was established to perform a comparative validation with traditional admittance control for constant force massage. The results indicate that the admittance control based on the RBF neural network sliding mode robust term can effectively achieve constant force tracking, with force fluctuations within approximately ±0.5N. Compared to admittance control, the force tracking error is reduced by approximately 1N, ensuring the safety of the massage process.

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Hybrid CNN & Random Forest Model for Effective Fenugreek Leaf Disease Diagnosis

Hybrid CNN & Random Forest Model for Effective Fenugreek Lea...

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E-mobility, Power Control and Smart Systems (ICEMPS), international conference on

作者： Varun Kumar Deepak Banerjee Deepak Upadhyay Mukesh Singh Kanegonda Ravi Chythanya Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Computer Science & Engineering Graphic Era Hill University Dehradun Uttarakhand India Graphic Era Deemed to be University Dehradun Uttarakhand India School of Computer Science & Artificial Intelligence SR University Warangal

ISBN: (数字)9798350394399

ISBN: (纸本)9798350394405

The present research extensively analyses the use of methods based on machine learning to classify symptoms of fenugreek leaves. this investigation focuses on the complicated topic of fenugreek sickness, using artificial neural networks like CNN's network and random forests to improve disease identification both in precision and efficacy. The Powdery mildew and downy mildew, anthracnose (which affected plants where it occurred), rust, bacterial plant spots (Fusarium Wilt), and botrytis blight were among the most frequent fenugreek leaf diseases studied. In addition, support metrics provide a breakdown of occurrence for each disease class, which is useful for measuring the prevalence or impact of various illnesses in fenugreek farming. The macro, balancing, and micro-average data give a summary of the algorithm's effectiveness. The integrated approach to classifying illnesses demonstrates security, with average outcomes closely matching specific class requirements. The simulation offers a remarkable mean precision of 93.84%, suggesting its ability to provide accurate estimates across the entire fenugreek disease of leaves range. Finally, this study improves the automated disease classification of fenugreek leaves, demonstrating the potential of AI approaches for precision agriculture. The findings given herein not only provide critical information for fenugreek cultivation but also lay the groundwork for future research into the interface of technology and sustainability in agriculture.

关键词： Productivity Accuracy Biological system modeling Classification algorithms Security Reliability Sustainable development

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Altruism, reciprocity, and tokens to reward forwarding data: Is that fair?

Altruism, reciprocity, and tokens to reward forwarding data:...

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IEEE international conference on Blockchain and Cryptocurrency (ICBC)

作者： Vahid Heidaripour Lakhani Arman Babaei Leander Jehl Georgy Ishmaev Vero Estrada-Galiñanes University of Stavanger Stavanger Norway École Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland Delft University of Technology Delft Netherlands

ISBN: (数字)9798350316742

ISBN: (纸本)9798350316759

Decentralized storage networks offer services with intriguing possibilities to reduce inequalities in an extremely centralized market. Fair distribution of rewards, however, is still a persistent problem in the current generation of decentralized applications using token-based incentives. They are often disproportionally concentrated with small number of early adopters and high-resourced participants. Incentive mechanisms capable of addressing this problem are still poorly understood. This paper aims to help fill this gap by developing our Tit-forToken (Tit4Tok) model. Tit4Tok realizes incentives based on the triad of altruism (selfless behavior), reciprocity (Tit-for-Tat), and monetary rewards compatible with a free market. Tit4Tok analyzes the effects of storage-, and network-parameters fine-tuning to achieve fair distribution of rewards for participants. We present a comprehensive exploration of different factors when incentivized peers share bandwidth in a libp2p-based network, including uneven distributions emerging when gateways provide data to users outside the network. We quantified the Income-Fairness with the Gini coefficient, using multiple model instantiations and diverse approaches for debt cancellation. We propose regular changes to the gateway neighborhood and show that our shuffling method improves the Income-Fairness from 0.66 to 0.16. We quantified the non-negligible cost of tolerating free-riding (altruism). The performance is evaluated by extensive computer simulations and using an IPFS workload to study the effects of caching.

关键词： Costs Computational modeling computer simulation Layout Logic gates Routing Decentralized applications

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