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检索条件"任意字段=7th International Conference on Computing in Engineering and Technology, ICCET 2022"

共 10988 条记录，以下是371-380 订阅

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Active Disturbance Rejection Control of Gait For Coupled System of Biped Robot 7

Active Disturbance Rejection Control of Gait For Coupled Sys...

引用

7th international conference on Intelligent computing and Signal Processing, ICSP 2022

作者： Zhao, Yongyong Cao, Guohua Yuan, Yi Wang, Jinghua Changchun University of Science and Technology College of Mechanical and Electric Engineering Changchun China Changchun University of Science and Technology Chongqing Research Institute Chongqing China

ISBN: (纸本)9781665478571

Footed robots have a wide range of application scenarios, in bipedal robots have strongly coupled, nonlinear, and complex dynamical systems. In this paper, we use the proper function of the joint angle variation of the lower limb motion of a bipedal robot as the dynamic gait law input of the system, which can better simulate the movement of the robot's more inadequate limb system. For the representation of the dynamical system obtained based on the Lagrangian method, according to the coupled system decoupling and self-anti-disturbance control theory, this paper derives the decoupling process. the design of the self-anti-disturbance controller to realise the step-stable tracking of the joint angle of the biped robot is similar to the human gait in the presence of sinusoidal and step perturbations. the simulation results verify the validity of the theoretical analysis and provide experimental simulation support and a theoretical basis for the design of decoupling and self-anti-disturbance control of robot lower limb motion. © 2022 IEEE.

关键词： Dynamical systems

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Fault distance location method of transmission line based on binocular vision technology 7

Fault distance location method of transmission line based on...

引用

7th international conference on Intelligent computing and Signal Processing, ICSP 2022

作者： Li, Qiongqiong Chen, Guochu Shanghai Dianji University School of Electrical Engineering Shanghai China

ISBN: (纸本)9781665478571

Under the influence of bad weather such as strong winds, rain and snow, balloons, kites, plastics, etc. are often blown onto the high-voltage transmission line, resulting in short circuits and discharge failures of power lines. therefore, this paper proposes a transmission line fault distance positioning method based on binocular vision technology. Firstly, the distortion correction algorithm and binocular stereo correction algorithm are used to correct the binocular view, and then the image binarization algorithm and the vertex-based corner point detection algorithm are used to improve the positioning accuracy of transmission line faults, and finally the semi-global stereo matching (SGM) algorithm based on least squares fitting interpolation is used to refine the basic parallax diagram. Using the information of parallax diagram and the principle of ranging, the fault distance positioning method of transmission line is established. Experimental results show that the method proposed in this paper meets the accuracy standard and can meet the needs of unmanned aerial vehicles in transmission line inspection. © 2022 IEEE.

关键词： Electric lines

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Harvesthub: Mobile Agricultural Markets 7

HarvestHub: Mobile Agricultural Markets

引用

7th international conference on Circuit Power and computing Technologies, ICCPCT 2024

作者： Deepika, Gundaboina Begum, Heena Reddy, Gangireddy Niranjan Joshini, Gogulamanda Sathyanarayanan, D. Pallavi, L. B V Raju Institute of Technology Department of Computer Science and Engineering Telangana India B V Raju Institute of Technology Department of Computer Science and Engineering Telangana India

ISBN: (纸本)9798350372816

this project aims to develop a web application addressing challenges in agricultural marketing, leveraging technology to connect farmers directly with buyers. Recognizing technology's pervasive role and potential impact, the project seeks to create a user-friendly platform for agricultural *** project will employ a comprehensive approach, considering technical development and socio-economic contexts. It begins with analysis of existing systems, informed by literature review and consultations. Iterative cycles of design, implementation, and testing guided by user feedback will be conducted. Key features include support for a local language, secure payments, customizable categorization, and intuitive interface *** project aims to produce a web application tailored for agricultural marketing. It will provide farmers a platform to showcase products and offer buyers convenient access. By streamlining processes, the application intends to enhance market access, improve transparency, and contribute to sector growth and *** by a commitment to leveraging technology for social good, this project seeks to empower farmers and promote economic development. through stakeholder collaboration and ongoing evaluation, it aims for sustainability and scalability. © 2024 IEEE.

关键词： Agricultural economics

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computing power dispatching method of power grid cloud platform based on distributed computing 7

Computing power dispatching method of power grid cloud platf...

引用

7th international conference on Advanced Electronic Materials, Computers, and Software engineering, AEMCSE 2024

作者： Qu, Ruiting Wang, Fei Qiao, Lin Chen, Shuo Yang, Zhuangguan Yu, Yuanqi State Grid Liaoning Information and Communication Company 18 Ningbo Road Shenyang110000 China

ISBN: (纸本)9781510681866

To realize the effectiveness and real-time of computing power scheduling of power grid cloud platform, this paper proposes a load forecasting and computing power scheduling method of power grid cloud platform based on distributed computing. the short-term and ultra-short-term computing power of each virtual resource pool load task is predicted. Based on the decomposition-ensemble model, LSTM (long short-term memory) model and XGBoost model are used to predict the computing power. the cloud platform center server groups each virtual resource pool according to the prediction curve, and only the virtual resource pool in the same group can carry out resource scheduling and information transmission. the scheduling method is verified by experiments, and the test results are good. © 2024 SPIE.

关键词： Cloud platforms

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ODFKG-A: Object Detection Fused with Knowledge Graph Based on Attention Mechanism 7

ODFKG-A: Object Detection Fused with Knowledge Graph Based o...

引用

7th international conference on Computer Information Science and Application technology, CISAT 2024

作者： Fan, Yujiao Xu, Jie Yang, Fan Xie, Linbing Miao, Ke Wu, Zelei University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu China

ISBN: (纸本)9798350375107

In recent years, object detection technology has been widely applied in fields such as autonomous driving, underwater navigation, and security monitoring. Although modern object detectors can accurately represent the features of each region, recognizing occluded or small objects in large-scale multi-category scenarios remains challenging. this paper proposes Object Detection Fused with Knowledge Graph Based on Attention Mechanism (ODFKG-A). the method utilizes attention mechanism to emphasize important inter-channel relationships, enriching image feature information, and leverages knowledge graph for reasoning to further enhance features for each category. this model achieves detection accuracies of 80.8% on the VOC2007 test set and 56% on the COCO2017 validation set. these results demonstrate that combining a knowledge graph with an attention mechanism can effectively improve the performance of object detectors in complex scenarios. © 2024 IEEE.

关键词： Knowledge graph

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An Identification Method of Apple Leaf Disease Based on Transfer Learning 7

An Identification Method of Apple Leaf Disease Based on Tran...

引用

7th international conference on Cloud computing and Big Data Analytics, ICCCBDA 2022

作者： Su, Jinsheng Zhang, Mingjun Yu, Wenjing Software Engineering Institute of Guangzhou Dept. of Network Technology Guangzhou China Institute of Guangzhou Dept. of Network Technology Software Engineering Guangzhou China

ISBN: (纸本)9781665487115

In order to solve the identification problem of apple disease detection, a method based on light network structure MobileNetV2 was designed to detect apple leaf pathology, which was widely affected and severely damaged by spotted leaf litter disease, brown spot disease, Mosaic disease, gray spot disease and rust. In this method, data enhancement method is used to amplify the number of original factors, and the application of convolutional neural network in crop pathological identification is explored by transfer learning method. A deep learning model suitable for mobile devices such as mobile phones is designed to realize the detection of apple leaf diseases. the experimental results show that the performance of deep separable convolutional neural network in this task can meet the actual demand of production. © 2022 IEEE.

关键词： Training Performance evaluation Pathology Transfer learning Production Mobile handsets Object recognition

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Performance Analysis of Electric Vehicle using BLDC Motor Drive 7

Performance Analysis of Electric Vehicle using BLDC Motor Dr...

引用

7th international conference on Intelligent computing and Control Systems, ICICCS 2023

作者： Vijayaraja, L. Dhanasekar, R. Harini, K. Hemapriya, T. Subhasri, S. Kesavan, Rupa Sri Sairam Institute of Technology Department of Electrical and Electronics Engineering Chennai India Sri Venkateswara College of Engineering Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350397253

A study on position and speed is made on BLDC (Brushless DC motor) in this research. the study is performed based on the sensor less technology which includes background investigation. Compared to the conventional method, the reliability and the performance of BLDC motor is improved using the proposed design. In the simulation, controlling the speed of BLDC motor is performed. In simulation, the speed of the BLDC motor remains constant even when the voltage varies. Further in the real time experimentation sensor less are studied in terms of merits and demerits, further an analysis is made on design parameter, issue in implementation and the application. the study includes an Electro Motive Force sensing methods, Terminal Voltage Sensing and Terminal Current Sensing. Using microcontroller (Atmega8A) board and Electronic Speed Controller, the speed of the motor is controlled by varying the 10k potentiometer. the parameter like speed and rpm are obtained and shown in the load display. © 2023 IEEE.

关键词： Brushless DC motors

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Multipath Congestion Control in Integrated Intelligent Network 7

Multipath Congestion Control in Integrated Intelligent Netwo...

引用

7th international conference on Intelligent computing and Signal Processing, ICSP 2022

作者： Li, Yinglin Yang, Li Qi, Yaowen Wei, Debin Dalian University Dept. College of Information Engineering Dalian China Nanjing University of Science and Technology Dept. School of Automation Nanjing China

ISBN: (纸本)9781665478571

In the integrated intelligent network, the high dynamics and high loss of satellite network leads to low bandwidth utilization. Furthermore, due to various necessary in satellite network, it is hard to meet the quality of service (QoS) requirement. In the present paper, we propose a novel congestion control algorithm (CCA) based on bottleneck bandwidth and round-trip time estimation for multipath TCP over the integrated intelligent network, which called AMPTCP-RB. In this work, we continuously estimated round-trip propagation time by calculating the link length and estimating bottleneck bandwidth by ack rate and send rate to evaluation congestion state, and then determined the decrease factor through utility function based on various QoS requirement. the result shows that proposed CCA enhances the total throughput performance and guaranteed the QoS. © 2022 IEEE.

关键词： Quality of service

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Wireless Network Resource Optimization in the Internet of Vehicles 7

Wireless Network Resource Optimization in the Internet of Ve...

引用

7th international conference on Communication and Information Systems, ICCIS 2023

作者： Zhong, Fengze School of Engineering University of Edinburgh Edinburgh United Kingdom

ISBN: (纸本)9798350330540

With the fast development of the Internet of things (IoT), the Internet of Vehicles (IoV) is also in the rapid growth stage, where computation resources allocation is vital to improve the response speed of the IoV system. However, different needs of different end devices and tasks bring an overwhelming burden for vehicular networks. In this paper, we first propose a multilevel computing power network, where a model of local computing, edge computing and cloud computing is built. Furthermore, based on potential game, the resource optimization problem is modelled as an Offloading Task Allocation (OTA) problem, and an OTA algorithm is adopted to solve the optimal strategy. Also, to increase the chance of finding the global optimum, OTA algorithm with perturbations is proposed, which has better exploration. Simulation shows OTA algorithm is efficient at solving network resource optimization problems in the scenario of IoV. © 2023 IEEE.

关键词： computation offloading edge computing internet of vehicles network resource optimization

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Multi-label and Multi-class Classification on a Custom Dataset using Convolution Neural Networks 7

Multi-label and Multi-class Classification on a Custom Datas...

引用

7th international conference on Intelligent computing and Control Systems, ICICCS 2023

作者： Bonthu, Sridevi Kiran, Kompella Bhargava Deenakonda, Mamatha Rao, V.V.R. Maheswara Jagadeesh, S.V.V.D. Vishnu Institute of Technology Computer Science and Engineering Bhimavaram India Vishnu Institute of Technology Electrical and Electronics Enigneering Bhimavaram India Computer Science and Engineering Shri Vishnu Engineering College for Women Bhimavaram India

ISBN: (纸本)9798350397253

A multi-label image classification is a challenging task as it has to map an input image to a vector of outputs. this work presents a single and efficient model to perform multi-label and multi-class classification using Convolutional Neural Networks (CNN). A custom dataset is collected and annotated with eight labels to test the neural network. the classes for the labels in the dataset are a blend of balanced and unbalanced data. the proposed network is a two-stage network. the first stage is used for general training, whereas the second stage is used for specific training. the results show that the usage of a single model across multiple labels results in varying performance. the number of classes and the balance in the class distribution have a direct impact on the performance of the model. the code is available at https://***/sridevibonthu/FML. © 2023 IEEE.

关键词： Convolutional neural networks

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