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检索条件"任意字段=International Conference on Advanced Research on Computer Education, Simulation and Modeling"

共 3782 条记录，以下是301-310 订阅

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simulation Study on Biped Walking Gait in Low Gravity Environment Based on computer Human Body Measurement Model

Simulation Study on Biped Walking Gait in Low Gravity Enviro...

引用

advanced Algorithms and Control Engineering (ICAACE), international conference on

作者： Chunhua Xue Jianjian Lin University of International Relations Beijing China

ISBN: (数字)9798350361445

ISBN: (纸本)9798350361452

Objective: Both simulation and experimental studies show that human walking is a passive biped walking mode adapting to the gravity environment of the earth, and its energy consumption rate is much lower than that of biped robot[1]. In the earth's gravity environment, when the leg length, leg centroid, inertia parameters, joint position and the mass characteristics of the whole human body are fixed, the gait characteristics (step length and period) are fixed. This article establishes a passive bipedal walking model through computer human body measurement and conducts simulation research on gait differences in gravity environments on Earth, Moon, and Mars. The research results can provide a basis for future astronaut training.

关键词： Legged locomotion Earth Training Mars Computational modeling Biological system modeling Moon

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simulation Model and Data Acquisition Method for Wind Turbine Group 4

Simulation Model and Data Acquisition Method for Wind Turbin...

引用

4th international conference on computers, Information Processing and advanced education, CIPAE 2023

作者： Ma, Tiandong Li, Feng Ma, Jun Wang, Yong Ma, Hui Li, Yongbin State Grid Ningxia Electric Power Co. Ltd. Yinchuan750001 China Electric Power Research Institute of State Grid Ningxia Electric Power Co. Ltd. Yinchuan750001 China Beijing Goldwind Smart Energy Technology Co. Ltd. Beijing100176 China

ISBN: (纸本)9798350342710

This article presents a novel approach to simulating and collecting data for a direct-drive wind turbine array. The simulation model for the direct-drive wind turbine array encompasses various components, including the direct-drive fan, a multiplier amplifier, a controlled current source, the line's equivalent impedance, and the power grid. The direct-drive fan is linked to the controlled current source and the line's equivalent impedance, serving to transmit the fan's current signal to the equivalent impedance of the line. Meanwhile, the multiplier amplifier connects to a controlled current source, tasked with multiplying and amplifying the external system's fan current signal based on the predefined number of fans. Subsequently, it transmits the multiplied and amplified fan current signal back to the controlled current source. The controlled current source then utilizes this amplified fan current signal as a reference value to deliver its controlled current source signal to the equivalent impedance of the line. Ultimately, both the controlled current source signal and the fan current signal are channeled into the power grid through the line's equivalent impedance. This innovative approach is highly applicable to conducting system simulation analyses for large-scale wind power integration, resulting in a significant reduction in computational workload and a substantial increase in practical engineering value. © 2023 IEEE.

关键词： Wind power

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Application of Virtual simulation Experiment in Instrumental Analysis Teaching

Application of Virtual Simulation Experiment in Instrumental...

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Informatics education and computer Technology Applications (IECA), international conference o

作者： Rongwei Cui Jie Yang Fang Liu Ramir S. Austria Faculty of Education University of Cordilleras Baguio Philippines School of Chemical Engineer Weifang Vocational College Weifang China Beijing East Simulation & Software Technology ltd Beijing China

ISBN: (数字)9798350375336

ISBN: (纸本)9798350375343

Virtual simulation experiment teaching innovatively combines information technology with pedagogical reform, offering a solution to the spatial and temporal limitations of traditional lab education. This paper discusses an instrumental analysis virtual simulation platform developed with Unity3D for interactive, three-dimensional modeling. It enables the replication of complex analytical instruments, providing a dynamic environment for students to engage with and comprehend advanced techniques and procedures. The gas chromatography module exemplifies the platform’s ability to enhance practical skills, apply theoretical knowledge, and navigate safety protocols within realistic scenarios. Student proficiency and satisfaction have notably increased, validating the platform’s effectiveness and its transformative potential for instrumental analysis instruction.

关键词： Gas chromatography Analytical models Technological innovation Solid modeling Protocols Navigation Instruments

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research on Improved ICP Geomagnetic Matching simulation Algorithm 3

Research on Improved ICP Geomagnetic Matching Simulation Alg...

引用

3rd international conference on computers, Information Processing and advanced education, CIPAE 2022

作者： Guo, Cheng Liu, Fen Wang, Weixiao College of Electronic Engineering Tianjin University of Technology and Education Tianjin China

ISBN: (纸本)9781665468121

Geomagnetic assisted matching navigation is a new research direction in the field of integrated navigation technology, which provides a new means for passive positioning of underwater vehicles. In view of the traditional ICP algorithm as important matching navigation algorithm, there are high requirements for initial point position, real time capability is not strong, slow search speed and so on, in this paper, the algorithm was improved, improved in combination with K - nearest neighbor search and normal vector estimation, the rotation matrix are deduced with the method of forming the same Angle as the invariant features and translation vector to realize the early registration, ICP algorithm based on octree was used for accurate registration. Based on the MATLAB environment, the simulation experiment of the improved ICP algorithm for geomagnetic matching is implemented. The research shows that the improved algorithm can improve the registration accuracy and shorten the registration time, and has obvious advantages. © 2022 IEEE.

关键词： Navigation

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Tendencies and Challenges of Artificial Intelligence Development and Implementation 12

Tendencies and Challenges of Artificial Intelligence Develop...

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12th IEEE international conference on Intelligent Data Acquisition and advanced Computing Systems: Technology and Applications, IDAACS 2023

作者： Kondratenko, Yuriy Shevchenko, Anatoliy Zhukov, Yuriy Kondratenko, Galyna Striuk, Oleksandr Petro Mohyla Black Sea National University Mykolaiv54003 Ukraine Institute of Artificial Intelligence Problems Kyiv01001 Ukraine C-Job Nikolayev Mykolaiv54006 Ukraine

ISBN: (纸本)9798350358056

This paper discusses the problems and challenges of artificial intelligence (AI) implementation at the modern computer science and information technology development stage. The authors analyze the types of AI, tendencies, and current state of AI development as well as the challenges of AI implementation in the various fields of human activity. The paper focus on the National strategies of different countries directed to AI development for industry, agriculture, space exploration, education, medicine, military, automation of design practice in robotics, construction, machine-building and shipbuilding, planning and optimization of cargo transportation, etc. The AI's challenges are discussed in detail, including (a) AI's strong influence on the world's labor market shortly, (b) the ethical problems and dangers of AI implementation, and (c) the authors' perspective proposals and ethical approaches, including the structure of new-generation computer systems based on artificial intelligence and AI multi-software methodology for designing and 3D modeling. © 2023 IEEE.

关键词： AI multi-software design methodology AI-new-generation computer artificial intelligence challenges development ethical approach implementation tendencies

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research on Control of Coal Mine Belt Conveyor Based on Improved Sliding Mode Control 3

Research on Control of Coal Mine Belt Conveyor Based on Impr...

引用

3rd international conference on Machine Learning and computer Application, ICMLCA 2022

作者： Chen, Xiaohong Wang, Sen Chen, Nan Zhan, Zhenhua Qu, Haoming Wang, Wenshuo Xu, Yunchuan Sun, Bo Ma, Shiyi College of Automation Shenyang Institute of Engineering Liaoning Shenyang110136 China

ISBN: (纸本)9781510664814

In order to achieve high efficiency and energy saving electromechanical integration zero transmission structure, a permanent magnet synchronous motor using an external rotor is adopted (PMSM) direct drive mode of coal mine belt conveyor. Through the research and analysis of the special application environment and control strategy of this kind of motor, vector control strategy method based on active disturbance rejection technology and sensorless control is adopted. To improve the speed regulation performance of belt conveyor when the load frequency *** modeling and simulation analysis The improved sliding mode observer can effectively improve the accuracy of rotor position estimation and tracking performance, the effectiveness of the algorithm is verified. © 2023 SPIE.

关键词： Belt conveyors

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research on 3D Cloud modeling based on the Combination of Meteorological Data and Multiple Noises

Research on 3D Cloud Modeling based on the Combination of Me...

引用

computers, Information Processing and advanced education (CIPAE), 2020 international conference on

作者： He Ren Xiaoxi He Liang Hu Yunhui Guo Jinwei Chen Min Wang The School of Software Engineering Chengdu University of Information Technology Chengdu China

ISBN: (数字)9798331527662

ISBN: (纸本)9798331527679

In order to create a more realistic cloud simulation environment, volumetric cloud modeling combined with real meteorological data is usually considered. At present, cloud simulation based on real meteorological data basically adopts physical modeling methods, such as solving fluid dynamics equations and particle system modeling, etc. However, these methods involve a large amount of calculation for solving calculus equations, so they are often limited in the scale of drawing, and it is difficult to perform real-time simulation in large-scale scenes. The authenticity and real-time performance of volumetric cloud simulation still need to be further improved. Therefore, through the analysis of existing research, a three-dimensional volumetric cloud construction method based on meteorological data is proposed. The specific method is to generate a two-dimensional cloud map based on humidity data, and then combine the cloud map with an improved height density function to make the shape and density of the cloud change with height and meteorological data, and combine it with multiple noises to construct the shape and details of the cloud. Finally, the Raymarching algorithm is used for rendering, and finally a large-scale volumetric cloud that matches the meteorological data is constructed. This paper combines meteorological data with non-physical modeling methods effectively. Experimental results show that the volumetric cloud modeled by this method matches the cloud map generated by meteorological data, and is more realistic in shape and appearance. The cloud body modeling results have more realistic details without distortion.

关键词： Solid modeling Three-dimensional displays Shape Clouds Morphology Rendering (computer graphics) Distortion Data models Mathematical models Real-time systems

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research and Design of Online education System Based on Blockchain Technology 3

Research and Design of Online Education System Based on Bloc...

引用

3rd international conference on Applied Mathematics, modeling and computer simulation, AMMCS 2023

作者： Liu, Minna Palaoag, Thelma University of the Cordilleras Information Technology Baguio2600 Philippines Xianyang Normal University School of Computer Science Shannxi Xianyang712100 China

ISBN: (纸本)9781643684581

This paper proposes a blockchain-based online education system for existing online education systems that are not transparent enough in calculating the benefits when resources are released, the centralized structure restriction, and the difficulty in confirming the rights of data resources. The system adopts ECC encryption algorithm to protect data security, uses smart contracts to control transaction operations, improves system reliability and execution efficiency through dual storage mechanism, uses blockchain's characteristics such as tamper-evident and timestamp to achieve effective confirmation of rights in information traceability, and achieves accurate matching of transactions and shortens the cycle of resources on the chain with the trust endorsement of blockchain's multiple participating subjects. It is proved by experiments that the system can effectively reduce the transaction cost of data resources, protect the rights and interests of resource publishers, and has good scalability and security. © 2023 The Authors.

关键词： Smart contract

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Infodemic Detection on Twitter During Pandemic Situation using LDA Topic Modelling 11

Infodemic Detection on Twitter During Pandemic Situation usi...

引用

11th international conference on System modeling and Advancement in research Trends, SMART 2022

作者： Devi, N. Shyamala Sharmila, K. Vels Institute of Science Technology and Advanced Studies Department of Computer Science Chennai India

ISBN: (纸本)9781665487320

Online social media propagates lot of misinformation during pandemic situation which trigger the human community in to a fear. Hence to avoid the propagation of infodemic during pandemic time. We proposed approach unsupervised infodemic identification using latent dirichlet allocation(LDA). This novel approach initially preprocess the unstructured data from twitter to structured data using NLP preprocessing technique then the data is converted to numerical vector using TF-IDF model. Finally the data is topic modeled for identifying the outlier. © 2022 IEEE.

关键词： Natural language processing systems

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Survey on Sentiment Analysis using Deep Learning 11

Survey on Sentiment Analysis using Deep Learning

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11th international conference on System modeling and Advancement in research Trends, SMART 2022

作者： Sharmila, K. Devi, N. Shyamala Devi, R. Vels Institute of Science Technology and Advanced Studies Department. of Computer Science Chennai India

ISBN: (纸本)9781665487320

The text mining is technique that extract data from the semi structured or unstructured text and finds pattern it thought as knowledge discovery from the text. Deep learning is most powerful machine learning technique that is used to extract the feature of the text and from the feature which is identified gives the prediction for the opinion from the various text. The opinion which is mined that helps to decide the social people opinion and sentiments that will be used as an input to various business decision. This article provides overview of sentiment analysis and deep learning approach. © 2022 IEEE.

关键词： Sentiment analysis

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