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检索条件"任意字段=9th International Conference on Computer Aided Design and Computer Graphics"

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design of a Control System for an Autonomous Underwater Vehicle EDYSYS1 9

Design of a Control System for an Autonomous Underwater Vehi...

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9th international conference on Advances in Machinery, Materials Science and Engineering Applications, MMSE 2023

作者： Osa, Edosa Samuels, Daniel Chinemelem Department of Electrical and Electronic Engineering University of Benin Benin CityP.M.B. 1154 Nigeria Department of Structural Engineering University of Benin Benin CityP.M.B. 1154 Nigeria

ISBN: (纸本)9781643684383

this paper describes the design of a control system for an autonomous underwater vehicle EDYSYS 1. An autonomous underwater vehicle is an unmanned and self-propelled underwater vessel that can operate independently underwater and carry out several missions as assigned to it compared to a Remotely Operated Vehicle (ROV) which is usually tethered to a ship or some other moored water vehicle. Intelligent design of control systems for autonomous underwater vehicles is an active area of research giving the demands for autonomy and the capacity for intelligent systems to satisfy such demands. A control system has been designed with the Raspberry Pi 4 computer as the main control unit. Various subsystems and sensors for data acquisition by the vehicle are controlled by the Raspberry Pi 4 which has the Robot Operating System (ROS) configured in it. the necessary intelligence for controlling each sensor is configured using Python programming language. the relevant Python scripts are thereafter implemented as nodes within the ROS framework. By calling the relevant nodes in ROS, various values of sensory data were obtained by the designed system in the ROS environment. Successful communication via LoRa was also achieved. © 2023 the Authors.

关键词： Autonomous underwater vehicles

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A Hemisphere-Based Approach for the design and Optimization of Nonequal Heliostat Fields for Solar Power Towers

A Hemisphere-Based Approach for the Design and Optimization ...

引用

international conference on computer and Communication Engineering, ICCCE

作者： Md. Imran Shahriar Department of Mechanical Engineering Shahjalal University of Science and Technology Sylhet Bangladesh

Due to variations in the sun’s position in the sky, different sections of a surrounding heliostat field experience distinct limitations in effectively reflecting sunlight to the central receiver of the solar power tower. this issue has been largely overlooked when employing heliostats of equal size throughout the field. In order to address this concern, the implementation of a nonequal heliostat field has emerged as a promising solution. this study introduces a novel approach for constructing a surrounding nonequal heliostat field, achieved by placing large heliostats in the north field of the southern hemisphere and the south field of the northern hemisphere. Conversely, relatively smaller heliostats are positioned in the south field of the southern hemisphere and the north field of the northern hemisphere. To evaluate the efficacy of this approach, a 110-megawatt plant was utilized for analysis across six different regions. By implementing this approach and comparing it with a heliostat field consisting of equal-sized heliostats, the results demonstrate that the annual average optical efficiency increases by up to 1.758% in the southern hemisphere, specifically in Upington, and by 2.184% in the northern hemisphere, particularly in Las Vegas.

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Hybrid EEG-EOG-based BCI system for Vehicle Control 9

Hybrid EEG-EOG-based BCI system for Vehicle Control

引用

9th IEEE international Winter conference on Brain-computer Interface (BCI)

作者： Olesen, Simon Dahl thorsager Das, Rig Olsson, Mathias Dizon Khan, Muhammad Ahmed Puthusserypady, Sadasivan Tech Univ Denmark Dept Space Lyngby Denmark Tech Univ Denmark Dept Hlth Technol Lyngby Denmark

ISBN: (纸本)9781728184852

Brain-computer Interfaces (BCI) has become a medium of communication and interaction for disabled people. Electroencephalography (EEG) signals are one of the most widely used for such BCI systems. Over the past decade or so, electrooculography (EOG) signals have shown tremendous potential to complement EEG based BCI systems. In this paper, we investigate the possibility of a hybrid BCI system, combining the EEG and EOG signals, for remotely controlling a vehicle, such as a wheelchair, using machine learning technique. Motor Imagery (MI) EEG signals and EOG signals are combined to design this robust and computationally faster system. the proposed system is trained and tested on 13 in-house subject's data and it is able to achieve an average accuracy of 87.3%, where, 3 of the subjects produced more than 90% accuracy.

关键词： Brain computer Interfaces (BCI) Electrooculography (EOG) Electroencephalogram (EEG) Motor Imagery (MI) Wheelchair control

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the Big Task design Based Curriculum design and Implementation of Secondary School Information Technology Teaching theory 23

The Big Task Design Based Curriculum Design and Implementati...

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9th international conference on Education and Training Technologies, ICETT 2023

作者： Wang, Huiling Yang, Yin Li, Xu Wang, Xiuyou Fuyang Normal University Fuyang Normal University China

ISBN: (纸本)9781450399593

this course is a compulsory basic education course for students majoring in computer science and technology (normal class), It is very important to cultivate middle school information technology teachers with information teaching ability. In view of the main pain point problems in the teaching process, such as students 'insufficient cognition of teachers' role, difficulty in active construction and poor information-based teaching ability. In the teaching process, we create a two-role classroom with students as the main body, on the basis of integrating the new content, the course content is the quot;total-score-Totalquot;large unit reorganization, and the teaching process is gradually promoted through the big task design. In the process of teaching implementation, the intelligent classroom teaching mode integrating online and offline teaching is adopted to give full play to the main position of students and achieve the goal of education from the perspective of information technology. © 2023 Association for Computing Machinery. All rights reserved.

关键词： Teaching

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Optimization design of Multi task Cluster Network for High Dynamic Space Orbit Relationships

Optimization Design of Multi task Cluster Network for High D...

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international conference on computer and Communications (ICCC)

作者： Haiyan Li Yang Xu Xinqiao Zhang Chengxiang Li Beijing Institute of Aerospace Systems Engineering Beijing China

In the future, distributed space system collaborative applications would have some new characteristics: high dynamic changes in spatial orbit relationships, complex coupling relationships between different tasks, and autonomous and fast task planning and control capabilities. Current dynamic networking methods of the cluster system cannot meet the capability requirements including timely change of network architecture with tasks, rapid online reconfiguration of the system, and self-optimization of cluster node resources. therefore, this paper proposes a spatial distributed hierarchical network architecture based on complex task coupling. A dynamic subnet resource allocation optimization algorithm is designed to solve the problem of node competitions. To verify the effectiveness of the proposed method, a typical application scenario including 4 clusters system is conducted in the simulation example. Simulation results show that the method can meet the requirements of communication performance, which has the elastic networking abilities of "self-response, self-configuration, self-reconfiguration".

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design and Implementation of a Multi-Cluster IoT Platform for New Power System

Design and Implementation of a Multi-Cluster IoT Platform fo...

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international conference on computer and Communications (ICCC)

作者： Zhu Qiao Jixin Hou Qing Liu Jie Meng Wenbin Wang Chen Liu NARI Group Corporation State Grid Electric Power Research Institute Nanjing China

To achieve unified management and operation of IoT devices in new power system at the network and provincial levels, the electric power IoT faces technical challenges such as unified access to massive terminal devices, unified processing and storage of massive data, unified operation and maintenance management of devices across different business areas, and sharing and reuse of data across different business domains. To address these issues, this paper proposes a multi-cluster IoT management platform suitable for massive device access. Based on breakthroughs in existing electric power IoT technology, key technologies such as dynamic automatic modeling of IoT devices, device multi-cluster access mechanism based on long connection pre-allocation, and time-series data transmission and storage based on multi-cluster mode. this platform overcomes the bottlenecks of existing IoT device management and data processing methods, effectively improves device access performance, and adapts to the development of future electric power IoT business.

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design of a digitalized recharge system for groundwater sustainability in water exploitation areas

Design of a digitalized recharge system for groundwater sust...

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international conference on Computing, Engineering, and design (ICCED)

作者： Hesri Mintawati Paikun Muhammad Firmansyah Indah Alaziz Milda Maryani Anang Suryana Department of Civil Engineering Faculty of Engineering Computer and Design (FEED) Nusa Putra UniversitY Department of Electrical Engineering Faculty of Engineering Computer and Design (FEED) Nusa Putra University

the transition of land use from open to closed areas has reduced infiltration spaces, causing a significant increase in surface rainwater runoff. Consequently, this has resulted in flooding during the rainy season and drought during the dry months, a phenomenon observed throughout Indonesia, especially in urban areas. Additionally, groundwater exploitation by drinking water companies, as witnessed in Sukabumi and other regions in Indonesia, is suspected to exacerbate the drought, causing widespread community concern over the past decades. Given these challenges, this research aims to develop a design for an infiltration well capable of harvesting rainwater and facilitating the seepage of household wastewater. this infiltration well water treatment design is equipped with sensors to detect the infiltration water discharge so that the infiltration water discharge can be known periodically. Based on measurements via sensors in infiltration wells, in each water exploitation area, the number of infiltration wells needed can be identified. It is hoped that this design can then be applied to the construction of housing complexes, as well as being the basis for stakeholders in determining the requirements for infiltration wells when changing open land to closed land.

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Deep Learning-aided Direction-of-Arrival Estimation by Exploiting Difference Coarray

Deep Learning-aided Direction-of-Arrival Estimation by Explo...

引用

international conference on computers, Communications, and Systems (ICCCS)

作者： Yu Li Bobin Yao Zhi Dong Qisheng Wu School of Electronics and Control Engineering Chang'an University Xi'an China School of Transportation Engineering Chang'an University Xi'an China

ISBN: (数字)9798350350210

ISBN: (纸本)9798350350227

In this paper, a deep learning-aided direction of arrival (DOA) estimation method is proposed. Via the theory of difference coarray, we first transform the array covariance matrix into virtual array-element domain, which formulates an equivalent single-snapshot array observation under a virtual array with much larger aperture. then, we view the above single-snapshot DOA estimation as a sparse signal reconstruction in noise under the framework of compressive sensing, and construct a deep convolution network to learn the inverse transformation of this sparse spatial spectrum through large training data. Compared with some exist DOA estimation methods, the proposed one can not only achieve highly time-efficient DOA estimation than other compressive sensing-based methods, but also manifest better estimation accuracy than other deep-learning-based methods. Simulation results illustrate the advantages of the proposed method.

关键词： Direction-of-arrival estimation Accuracy Convolution Simulation Estimation Training data Transforms

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the Application and Practice of Data Mining Technology in the Integrated Teaching of Psychology and computer 9th

The Application and Practice of Data Mining Technology in th...

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9th international conference on Signal and Information Processing, Network and computers, ICSINC 2021

作者： Dong, Weinan Human Resource Department Chengdu Neusoft University Sichuan Chengdu China

ISBN: (纸本)9789811947742

With the rapid development of new-generation information technologies such as the mobile Internet and the Internet of things, data has become an important information resource in modern society. the processing of big data is inseparable from the application of data mining (D M G) technology. therefore, D M G technology is used in all walks of life, plays a very important role. In the education industry, the popularity of the Internet and computers in colleges and universities has extensively affected the psychological concepts of college students. therefore, it is of great significance to strengthen the integration of psychology and computer teaching and to the development of college students’ mental health. the purpose of this article is to research and analyze the application and practice of D M G technology in the fusion of psychology and computer teaching. this article first summarizes the relevant basic theories of D M G technology, and then extends its core D M G technology. Combining with the current psychology teaching methods in our country’s universities, analyze the existing problems and deficiencies. On this basis, the application practice of D M G technology in the fusion teaching of psychology and computer is used for research and analysis. this article systematically expounds the construction of D M G technology in the teaching system of fusion of psychology and computer, system requirements design and database design. And use questionnaire surveys, field surveys and other research methods to conduct experimental research on the application and practice of D M G technology in the integrated teaching of psychology and computer. Research shows that compared with the traditional face-to-face psychological teaching method, the fusion teaching of psychology and computer based on D M G technology has higher feasibility. © 2022, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Surveys

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Effect of Sc Concentration on the Memory Window in Al1-xScxN/Two-Dimensional Channel Ferroelectric Field-Effect Transistors

Effect of Sc Concentration on the Memory Window in Al1-xScxN...

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international conference on Integrated Circuits and Microsystems (ICICM)

作者： Zexin Ding Yuxi Liu Xin Liu Guoming Zhang Nan Wang Qinghua Ren School of Microelectronic Shanghai University Shanghai China

ISBN: (数字)9798331509453

ISBN: (纸本)9798331520243

Recently, the integration of a scandium-doped aluminum nitride (Al 1-x Sc x N) dielectric layer with a two-dimensional (2D) channel has attracted significant attention in ferroelectric field-effect transistors (FeFETs). the effect of Sc doping concentrations (x) on the memory window (MW) in FeFETs with a 100 nm Al 1-x Sc x N dielectric layer and a 2D MoS 2 channel is investigated using the technology computer-aided design (TCAD) simulations. Simulation results show that the MW increases from 34.23 V to 39.08 V with increasing $x$ from 0.27 to 0.36, and then decreases to 31.07 V as $x$ further increases to 0.43. Furthermore, the MW gradually becomes symmetrical at about a gate voltage of 0 V as $x$ increases from 0.27 to 0.43. these variations in the MW are mainly attributed to the decrease of coercive field (Ec) with increasing x, which will enhance the switching of ferroelectric polarization. this work offers valuable insights into optimizing the MW for Al 1-x Sc x N FeFETs.

关键词： design automation Simulation Two-dimensional displays Doping Switches Voltage Dielectrics Transistors FeFETs Aluminum nitride

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