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检索条件"任意字段=International Conference on Computer Modeling and Simulation"

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Design and Development of "vR + Arduino" Immersion Interactive Experiment Case 7

Design and Development of "vR + Arduino" Immersion Interacti...

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2020 7th international conference on computer-Aided Design, Manufacturing, modeling and simulation, CDMMS 2020

作者： Yong, Jiu Wang, Yangping Dang, Jianwu Introduction of Comp. Science and Technology Experimental Teaching Demonstration Center of National Lanzhou Jiaotong University LanZhou730070 China National Virtual Simulation Experiment Teaching Center of Railway Traffic Information and Control Lanzhou Jiaotong University Lanzhou730070 China Gansu Prov. Eng. Research Center for Artificial Intelligence and Graphics and Image Processing LanZhou730070 China

In order to guide students to master Arduino development board, sensors, unity3d and other software and hardware application methods, familiar with the development process of virtual reality and intelligent hardware control platform. Learning from the WeChat "jump and jump"finger game, based on virtual reality technology and Arduino intelligent hardware control platform, the virtual intelligent fitness device with good immersion, strong interactivity, and combining entertainment, exercise and virtual experience is developed and designed. The "virtual reality + Arduino"immersion interactive experimental platform provides immersive and interactive immersive helmet and desktop screen display modes, uses a variety of intelligent control methods such as in-situ jumping action or grip to replace the finger pressing action in WeChat to control the jump of the game model, and can choose the sky, ocean, land and other fitness Scene, to achieve physical exercise and intellectual purposes. In the process of case design and production, virtual reality immersion equipment, grip and running pad are combined with fitness to cultivate students' comprehensive practical innovation ability. © Published under licence by IOP Publishing Ltd.

关键词： Virtual reality

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Neurocognitive–Inspired Approach for Visual Perception in Autonomous Driving 8th

Neurocognitive–Inspired Approach for Visual Perception in A...

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8th international conference on Smart Cities and Green ICT Systems, SMARTGREENS 2019, and 5th international conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2019

作者： Plebe, Alice Da Lio, Mauro Department of Information Engineering and Computer Science University of Trento Trento Italy Department of Industrial Engineering University of Trento Trento Italy

ISBN: (纸本)9783030680275

Since the last decades, deep neural models have been pushing forward the frontiers of artificial intelligence. Applications that in the recent past were considered no more than utopian dreams, now appear to be feasible. The best example is autonomous driving. Despite the growing research aimed at implementing autonomous driving, no artificial intelligence can claim to have reached or closely approached the driving performance of humans, yet. While the early forms of artificial neural networks were aimed at simulating and understanding human cognition, contemporary deep neural networks are totally indifferent to cognitive studies, they are designed with pure engineering goals in mind. Several scholars, we included, argue that it urges to reconnect artificial modeling with an updated knowledge of how complex tasks are realized by the human mind and brain. In this paper, we will first try to distill concepts within neuroscience and cognitive science relevant for the driving behavior. Then, we will identify possible algorithmic counterparts of such concepts, and finally build an artificial neural model exploiting these components for the visual perception task of an autonomous vehicle. More specifically, we will point to four neurocognitive theories: the simulation theory of cognition;the Convergence–divergence Zones hypothesis;the transformational abstraction hypothesis;the free–energy predictive theory. Our proposed model tries to combine a number of existing algorithms that most closely resonate with the assumptions of these four neurocognitive theories. © 2021, Springer Nature Switzerland AG.

关键词： Autonomous vehicles

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Designing a simulation Model to Examine The Genetic Impact of Inbreeding In a Sudanese Population

Designing a Simulation Model to Examine The Genetic Impact o...

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international conference on computer, Control, Electrical, and Electronics Engineering (ICCCEEE)

作者： Muiz Mohamed Hamza Orwa Abbas Ibrahim Kholood Elfatih Abdalla Alargam Elrayah Elsayed Ali University of Khartoum Khartoum Sudan

It's well-known how widely spread consanguineous marriages are in Sudan. This type of marriage has significant effects on the population in terms of genetic diseases. So many researchers explored the linkage of consanguineous marriages with the occurrence of genetic and rare genetic *** paper uses Sudanese data which was provided by the Institute of Endemic Diseases, University Of Khartoum. Python was found to be the most suitable programming language to conduct the simulation. Simulating inbreeding using both a random parent chooser and a customized parent chooser scheme has been applied using the python package named Simupop. The authors then produced a plot to foresee the inbreeding's impact on the effective population size. The heterozygosity frequency showed an obvious decrease. This decrease, of course, shows itself in the form of congenital anomalies, such as genetic diseases, birth defects, and sometimes neonatal and fetus deaths. Thus, it was evident the effects of inbreeding on the effective population size.

关键词： Pediatrics Biological system modeling simulation Sociology Genomics Predictive models Genetics

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Energy saving simulation analysis of natural cooling of fresh air in small and medium-sized data centers in cold winter and hot summer regions

Energy saving simulation analysis of natural cooling of fres...

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computer Engineering and Intelligent Control (ICCEIC) international conference on

作者： Kai Wang Qifen Li Yongwen Yang College of Energy and Mechanical Engineering Shanghai University of Electric Power Shanghai China

ISBN: (纸本)9781665402132

This paper introduces the technical principle of direct natural cooling of fresh air and the composition of fresh air system. Taking Shanghai as an example, the control strategy of outdoor fresh air in cold winter and hot summer area is determined. The energy consumption model of data center refrigeration system was established, and the energy consumption of a small data center in Shanghai before and after direct natural cooling with fresh air was simulated. The simulation results show that the energy consumption of the refrigeration system of the data center decreases by 26.3% and 16.8% after using the fresh air direct natural cooling. The application of the fresh air natural cooling technology in the cold winter and hot summer areas has obvious energy saving effect.

关键词： Data centers Energy consumption Analytical models Power demand Cooling Atmospheric modeling simulation

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Proceedings of the 2019 8th international conference on System modeling and Advancement in Research Trends, SMART 2019

Proceedings of the 2019 8th International Conference on Syst...

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8th international conference on System modeling and Advancement in Research Trends, SMART 2019

ISBN: (纸本)9781728132457

The proceedings contain 71 papers. The topics discussed include: implementation of machine learning to detect hate speech in Bangla language;analyzing recent research trends of computer science from academic open-access digital library;simulation and modeling of seawater intrusion around Pondicherry coastal aquifer — India;an overview of fog computing in the present scenario;text extraction through video lip reading using deep learning;multiservice online platform for integrated geospatial data processing;generating Bengali news headlines: an attentive approach with sequence-to-sequence networks;and periodic monitoring of rivers using portable sensor system.

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simulation modeling for inertial work-pattern of UAV optoelectronic gimbals 9

Simulation modeling for inertial work-pattern of UAV optoele...

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9th IEEE Joint international Information Technology and Artificial Intelligence conference, ITAIC 2020

作者： Xu, Mengen Chen, Daimei Zhao, Wenbo Sun, Yuhui Zhu, Jing PLA Army Academy of Artillery and Air Defense Hefei China

At present, the simulation of photoelectric gimbals is only semi physical simulation, which can not meet the training requirements of full digital simulation. Based on working principle of the optoelectronic gimbals, a two-freedom-degrees optoelectronic gimbals model composed of inner ring, outer ring and bracket was built. Based on direction cosine theory and quasi Newton numerical iterative technique, for the actual equipment of the optoelectronic gimbals, the inertial work-pattern simulating modeling algorithm (IWPSMA) were proposed in this projection, which to keep the axis stable in the inertial space. The model and IWPSMA were simulated, with the UAV moving in a circle, the azimuth changes periodically in 360°, and the elevation angle change nonlinearly in 0°-35°. The turntable model and algorithm are loaded into the 3D simulation scene. The experimental results show that the fidelity of the model and the real equipment are high, the boresight axis of the model keeps relatively stable in the inertial space, the computer resource occupation rate is low, and the 3D picture is smooth and stable. © 2020 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Achieving Runtime State Verification Assurance in Critical Cyber-Physical Infrastructures

Achieving Runtime State Verification Assurance in Critical C...

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2021 IEEE international conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2021

作者： Rivera, Abel O. Gomez Tosh, Deepak K. Shetty, Sachin University of Texas at El Paso Department of Computer Science TX United States Virginia Modeling Analysis and Simulation Center Old Dominion University TX United States

ISBN: (纸本)9781665415026

Industrial Cyber-Physical Systems (ICPS) are an essential backbone of national critical infrastructures. They help monitor and control crucial cyber-enabled services such as energy generation. Commonly ICPS monitors the physical process through Supervisory Control and Data Acquisition (SCADA) systems. The SCADA ecosystem takes critical real-time and future system operational decisions based on the runtime state behavior of field sensors. Traditional SCADA systems use legacy and insecure communication protocols such as the Modbus protocol that lack adequate security mechanisms to provide robust runtime state behavior assurance of constrained field sensors. Therefore, constrained field sensors are commonly vulnerable to standard semantic attacks that gradually change the behavior state of infected devices. This paper discusses process integrity assurance techniques necessary to enhance the security of behavior-based protocols such as the Modbus protocol. The Runtime State Verification (RSV) protocol proposed in this paper aims to address semantic attacks in the SCADA ecosystem by integrating behavior-based Mandatory Results Automata (MRA) and a Hyperledger Fabric (HLF) network. The RSV protocol provides high process integrity assurance through enhanced behavior-based MRA suitable for the constrained field devices. A proof of concept of the RSV protocol has been evaluated in an emulated water-tube boiler. Preliminary evaluations of the RSV protocol aimed to measure the efficiency of the proposed protocol by monitoring an Combustion Efficiency (CE) process necessary to preserve optimal combustion, thus minimizing costs and future maintenance of water-tube boilers. We analyze the overall network overhead and latency of the proposed RSV protocol by evaluating the HLF network performance and comparing the proposed RSV protocol with the state-of-art BloSPAI protocol. Through the preliminary evaluations of the proposed RSV protocol, this paper demonstrates that the proposed

关键词： Water tube boilers

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Microblog User Interest Recognition Based on Multi-Granularity Text Feature Representation 2021

Microblog User Interest Recognition Based on Multi-Granulari...

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2nd international conference on Computing and Data Science, CONF-CDS 2021

作者： Yu, Youqin Li, Bicheng College of Computer Science and Technology Huaqiao University Xiamen China

ISBN: (纸本)9781450389570

Microblog user interest discovery is of great significance to the personalized recommendation of social networks and the correct information dissemination guidance. We proposed a method of microblog user interest recognition based on multi-granular text feature representation. First, this paper constructs a text vector for microblog users from three aspects, including topic layer, word order layer, and vocabulary layer. LDA is used to extract the content's topic features, and LSTM learns the semantic features of the sentences. The open-source word vector of Tencent AI Lab is introduced to obtain the semantic features of words;then, the multi-granular text feature representative matrix obtained by the above three feature vectors is input into CNN for text classification training;finally, the interest recognition of weibo users is completed through the multi-terminal output layer. Experimental results show that, compared with the single-granularity feature representation model, the precision, recall, and F1 value of the multi-granularity text feature representation model are improved by 8%, 12%, and 13%, respectively. Based on the careful consideration of text coarse and fine semantic granularity and word granularity, combined with the neural network classification algorithm, the multi-granularity text feature representation model's evaluation index is better than the single-granularity text feature representation model. © 2021 ACM.

关键词： Information dissemination

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Analysis of dynamic equivalent circuit model of single axle bogie

Analysis of dynamic equivalent circuit model of single axle ...

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computer Engineering and Intelligent Control (ICCEIC) international conference on

作者： Zheng Wang Yuanpeng Lei Sheng Wang Fan Luo School of Mechanical Engineering Lanzhou Jiaotong University Lanzhou China

ISBN: (纸本)9781665402132

Numerical analysis of mechanical system dynamics has the problems such as programming difficulty and slow calculation speed. The paper takes the single-axle bogie as the research object, establishes the linear dynamic equations which has two degrees of freedom of the transverse and yaw motions, and uses MATLAB to carry out the numerical simulation of the equations. On the base, an equivalent circuit model is built using operational amplifiers, resistors and capacitors, and the same results as numerical simulations are obtained through Multisim simulation. The equivalent circuit model has the advantages of simple design, high speed, and real-time adjustable parameters. In addition, oscilloscope and spectrum analyzer can be used for real-time online analysis of results. The research results show that using equivalent circuit models to analyze the dynamics of n-DOF mechanical systems has certain reference value.

关键词： Analytical models Computational modeling Dynamics Numerical simulation Mathematical models Real-time systems Numerical models

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Automated Intracranial Haemorrhage Detection and Classification using Rider Optimization with Deep Learning Model

Automated Intracranial Haemorrhage Detection and Classificat...

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Automation, Computing and Renewable Systems (ICACRS), international conference on

作者： T. S. Karthik Naziya Hussain N K Anushkannan Rajasekhar Pinnamaneni Vijayakrishna Rapaka E Shyamali Das Department of Electronics and Communication Engineering Aditya College of Engineering and Technology Surampalem Andhrapradesh India School of Computers IPS Academy Indore Madhya Pradesh India Department of ECE Kathir College of Engineering Coimbatore Tamilnadu India Department of Biotechnology Koneru Lakshmaiah Education Foundation Vaddeswaram Guntur Andhra Pradesh India Indian Institute of Technology Madras Chennai Tamilnadu India Department of CSE CMR Group of Institutions (SOSS) Bangalore Karnataka India

ISBN: (纸本)9781665460859

Intracranial haemorrhage (ICH) refers to a pathological disorder that requires quick decision-making and diagnosis. Computed tomography (CT) can be accurate and dependable diagnosis method for identifying haemorrhages. Automated recognition of ICH through CT scans with a computer-aided diagnosis (CAD) method will be useful to classify and detect the distinct grades of ICH. Due to the latest development of deep learning (DL) techniques in image processing applications, numerous medical imaging methods use it. Thus, this article develops an automated ICH detection and classification using Rider Optimization with Deep Learning (ICHDC-RODL) model. The presented ICHDC-RODL technique mainly determines the presence of ICH using DL concepts. In the presented ICHDCRODL technique, the features are generated by the use of Xtended Central Symmetric Local Binary Pattern (XCS-LBP) model. Moreover, the bidirectional long short-term memory (BiLSTM) method is employed for ICH diagnosis. At last, the rider optimization algorithm (ROA) is exploited for the hyperparameter tuning procedure of the BiLSTM method. To demonstrate the enhanced outcomes of the ICHDC-RODL technique, a series of simulations were performed and the results are examined under various aspects. The simulation outcomes indicate the enhancements of the ICHDC-RODL technique over recent approaches.

关键词： Deep learning Solid modeling Renewable energy sources Pathology Computed tomography simulation Image processing

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