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检索条件"任意字段=3rd International Conference on Informatics in Control, Automation and Robotics"

共 2673 条记录，以下是161-170 订阅

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Predicting Mushroom Edibility with Effective Classification and Efficient Feature Selection Techniques 3

Predicting Mushroom Edibility with Effective Classification ...

引用

3rd international conference on robotics, Electrical and Signal Processing Techniques, ICREST 2023

作者： Morshed, Md. Samin Bin Ashraf, Faisal Islam, Muhammad Usama Shafi, Md. Shafiur Raihan Islamic University of Technology Department of Computer Science and Engineering Bangladesh Brac University Department of Cse Bangladesh School of Computing and Informatics Ul Lafayette United States Southeast University Department of Cse Bangladesh

ISBN: (纸本)9798350346435

Machine learning in agriculture has added a new dimension to research field through providing actionable insights for better crop yield. In our work, we have explored various types of mushrooms and utilized efficient feature selection techniques coupled with effective machine learning based classification methods to classify the edibility of mushrooms automatically. Through experimentation with nine distinct machine learning methods and twenty selected features, the result shows that our best model (k-NN) performed significantly better with an accuracy of 99% and F-1 score of 99% in comparison to other machine learning methods. Our research work provided us with valuable actionable insights to devise further scopes in research in the field of mushroom edibility predicting through machine learning. © 2023 IEEE.

关键词： Agriculture

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2022 3rd international conference on Artificial Intelligence, robotics and control, AIRC 2022

2022 3rd International Conference on Artificial Intelligence...

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3rd international conference on Artificial Intelligence, robotics and control, AIRC 2022

ISBN: (纸本)9781665459471

The proceedings contain 20 papers. The topics discussed include: data-driven models for control engineering applications using the Koopman operator;digital money transfer application optimized for religious contributions;a recommender system for recommending suitable products in e-shop using explanations;a gender recognition system based on facial image;the development of an application to bridge the cultural gap between Japan and Vietnam for Vietnamese living in Japan;the design and realization of the check-in system based on face recognition;the free path planner based on windmill decomposition;design of a fuzzy controller for the calculation of atmospheric comfort in a greenhouse;and the innovation of library service by artificial intelligence robot.

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Enhancing Extrusion Precision and Reliability in Robotic Multi-Axis Additive Manufacturing through Digital Twin Integration 24

Enhancing Extrusion Precision and Reliability in Robotic Mul...

引用

24th international conference on control, automation and Systems, ICCAS 2024

作者： Jochman, Tomáš Voltr, Václav Švec, Ondřej Kubáček, Vaclav Burget, Pavel Hlaváč, Václav Czech Technical University in Prague Faculty of Electrical Engineering Department of Cybernetics Prague Czech Republic Czech Technical University in Prague Czech Institute of Informatics Robotics and Cybernetics Prague Czech Republic

ISBN: (纸本)9788993215380

In robotic multi-axis additive manufacturing, achieving high precision and consistency is crucial. This paper presents a comprehensive calibration procedure and optimization strategy for process parameters in a filament-based extruder mounted on an industrial robot. A digital twin of the manufacturing setup is utilized to simulate and validate the process, enabling precise adjustments and automation of code generation for robotic operations. Experimental calibration artifacts are produced and measured to verify the effectiveness of the proposed approach, highlighting the impact of variables such as hot-end temperature, layer height, and tool center point velocity on print quality. A laser tracker is employed to ensure precise measurement of calibration artifacts, enhancing the accuracy of the calibration process. The results highlight the potential for advancements in the precision and reliability of multi-axis additive manufacturing processes through systematic calibration and optimization, enabling the stable production of complex 3D-printed structures and reduced production waste. © 2024 ICROS.

关键词： Extrusion

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Adaptive Reduced Fuzzy Decoupling control for Lower Limb Exoskeleton with Uncertainties 3rd

Adaptive Reduced Fuzzy Decoupling Control for Lower Limb Exo...

引用

3rd international conference on Advances in Information and Communication Technology, ICTA 2024

作者： Nguyen, Van-Truong Tran, Duc-Duong Le, Ngoc-Duy Dang, Van-Truong School of Mechanical and Automotive Engineering Hanoi University of Industry Hanoi Viet Nam Faculty of Engineering Technology Hung Vuong University Viet Tri Viet Nam

ISBN: (纸本)9783031809422

In this paper, an adaptive reduced fuzzy decoupling controller is developed for a lower limb rehabilitation exoskeleton robot (2-DOF) in the case of uncertainties. With decoupled control, the initial overall MIMO system is separated into a set of individual MISO subsystems for independent control. A simplified adaptive fuzzy is proposed to reduce computation time, addressing the issues of traditional fuzzy systems. The controller has good control quality, tracking the human gait motion trajectory with uncertainty. Simulation results show that the proposed controller performs better than the traditional fuzzy controller. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Exoskeleton (robotics)

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Transparent Slide Detection and Gripper Design for Slide Transport by Robotic Arm 22

Transparent Slide Detection and Gripper Design for Slide Tra...

引用

IEEE Joint 22nd international Symposium on Computational Intelligence and informatics / 8th IEEE international conference on Recent Achievements in Mechatronics, automation, Computer Science and robotics (CINTI-MACRo)

作者： Kucarov, Marianna Dimitrova Takacs, Matyas Molnar, Bela Kozlovszky, Miklos BioTech Doctoral Sch Appl Informat & Appl Math Budapest Hungary Obuda Univ Doctoral Sch Appl Informat & Appl Math Budapest Hungary 3DHistech Ltd Doctoral Sch Appl Informat & Appl Math Budapest Hungary 3DHistech Ltd Univ Res & Innovat Ctr EKIK Budapest Hungary Obuda Univ Univ Res & Innovat Ctr EKIK Budapest Hungary 3DHistech Ltd Budapest Hungary Obuda Univ John von Neumann Fac Informat Budapest Hungary

ISBN: (纸本)9798350398823

Transparent slide detection, pick and place automation are obtained in order to boost speed, accuracy and smooth workflow between slide coverslipping and digital scanning operation in digital pathology. Fully automatic, precise, robust solution has been developed by robotic arm using computer vision and image processing techniques. Magazine (slide holder) and gripper design, camera selection and mapping to robot base coordinate system are all guided. Python based software algorithms for slide detection and 3D position determination applied in dynamically changeable environment are also explained step by step. Complete automatic process control method is implemented and tested for different types of slide.

关键词： Digital Pathology Transparent Slide Detection 3D position Computer vision Image processing Robot automation

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Research on modular charging systems based on digital twins 3

Research on modular charging systems based on digital twins

引用

3rd IEEE international conference on Power, Electronics and Computer Applications, ICPECA 2023

作者： Dong, Qicheng Xu, Zhigang Wang, Junyi Yang, Xiao Fan, Linlin Li, Wei Shenyang Aerospace University College of Mechanical and Electrical Engineering Shenyang China Chinese Academy of Sciences Institute of Robotics and Intelligent Manufacturing Innovation Chinese Academy of Sciences Shenyang Institute of Automation Shenyang China Northwestern Industries Group Co. Ltd Xi'an China

ISBN: (纸本)9781665472784

The development of ammunition loading technology plays a vital role in the improvement of my country's national defense construction level. Compared with the traditional charge, the modular charge has the advantages of high interchangeability and modularity, and can realize the rapid filling of the charge. However, for the application of modular charging technology, when building unit modules, it is still necessary to manually teach the charging target point, and the modular charging technology has the disadvantage of being difficult to adapt to flexibility. Therefore, in the face of the diversity of ammunition, modular charge is not conducive to the rapid and efficient production of ammunition. The current automation technology is difficult to improve the flexible adaptability of modular charge. Aiming at the disadvantages of modular charging technology, a modular flexible charging system based on digital twin is proposed, including the construction of virtual charging workstation, key point identification, automatic trajectory generation and automatic robot program generation. The system greatly improves the production efficiency of modular charge, provides a reference for the research of modular flexible charge, and improves the digital manufacturing level of ammunition production. © 2023 IEEE.

关键词： Industrial research

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Animal Weight Prediction Based on Point Cloud Reconstruction Technology Combined with SVR 3

Animal Weight Prediction Based on Point Cloud Reconstruction...

引用

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

作者： Qin, Lijuan He, Xinyu School of Information Science and Engineering Shenyang Ligong University Shenyang China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Science Shenyang China

ISBN: (纸本)9781510664814

In the new era of China, with the improvement of people's level day by day, people's awareness of animal protection is gradually enhanced. However, the lack of operator experience of the breeder will cause the stress response of the animals, which will lead to the physical injury of the breeder. Therefore, contactless measurements of animals will be realized in this paper. PCL point cloud plays the same important role in 3D information processing as OpenCV 2D information processing. PCL point cloud can be combined with machine learning method to solve practical application problems. In this paper, pig is taken as the research object, and the 3D reconstruction of pig point cloud is carried out through the reconstruction algorithm in PCL point cloud. Then, this paper uses the point cloud convex hull algorithm and getsurfaceArea() function to obtain the volume and surface area of the pig respectively. Finally, the point cloud reconstruction technology combined with SVR algorithm to predict the weight of pigs can control the weight prediction rate of pigs within 5%. © 2023 SPIE.

关键词： Computer vision

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Traffic Classification For Botnet Detection Using Deep Learning 3

Traffic Classification For Botnet Detection Using Deep Learn...

引用

3rd international conference on Smart Cities, automation and Intelligent Computing Systems, ICON-SONICS 2023

作者： Hossen, Md. Sagar Ahmad, Tohari Institut Teknologi Sepuluh Nopember Department of Informatics Surabaya Indonesia Daffodil International University Department of Computer Science and Engineering Dhaka Bangladesh

ISBN: (纸本)9781509062805

In this modern world, we are naturally dependent on technology, which is constantly evolving. At the same time, our fear of data fraud is increasing every day. The ever-increasing number of attacks on our servers indicates that people have learned to adapt to new technologies. In addition, the number of botnet attacks is not insignificant, and botnets threaten computer networks. This can impact security systems, including malware distribution, phishing, spamming, and click fraud. Due to their harmful effects, botnets must be identified as soon as possible. Due to the dynamic character of botnets, however, detection has proven difficult. In this proposed method, deep learning is used to analyze and predict botnet data, and model performance metrics such as accuracy, precision, Recall, and F1 score are compared to prior work. In the proposed procedure, patterns are also discussed by analyzing botnet data. Various scenarios and sensors separate the NCC and NCC-2 datasets. The NCC dataset is separated into 13 scenarios, while the NCC-2 dataset is separated into 3 sensors. The dataset is preprocessed using the clean method, the null value handling method, the imbalance method, and the feature selection method to extract the essential characteristics. The dataset is then trained using LSTM, GRU, and Bi-LSTM models, and 99.93% accuracy is achieved. © 2023 IEEE.

关键词： Long short-term memory

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Kinematics, dynamics and control of a novel 3-DOF parallel mechanism with parallelograms linkage structure 24

Kinematics, dynamics and control of a novel 3-DOF parallel m...

引用

3rd international Symposium on control Engineering and robotics, ISCER 2024

作者： Jia, Huizhou Zhang, Junpeng Liang, Dong School of Mechanical Engineering Tiangong University Tianjin300387 China Tianjin Key Laboratory of Modern Electromechanical Equipment Technology Tiangong University Tianjin China

ISBN: (纸本)9798400709951

Three degree of freedom (DOF) parallel mechanisms (PM) are widely used in light industry, medical industry, agriculture, aerospace and other fields because of their excellent motion performance and cost performance. A novel 3-DOF PM with parallelogram closed-loop chain linkages is proposed to meet the demands of special working environments, and its mathematic models of kinematics and dynamics are obtained. Based on the topology of this PM, the kinematics is analyzed by using the closed-loop vector and derivation method, and the relation of positions, velocities and accelerations between inputs and components can be expressed. On this basis, utilizing the principle of virtual work, dynamic model is established, which lays the theoretical basis for PD computed torque control (CTC). Based on the law of CTC and the virtual prototype, the multi-body simulation experiment is carried out, which proves the correctness of the theory, and provides the foundation for practical application. © 2024 ACM.

关键词： Degrees of freedom (mechanics)

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A Flexible 3-axis Force Sensor for Robotic Tactile Applications 3

A Flexible 3-axis Force Sensor for Robotic Tactile Applicati...

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3rd international conference on control and Intelligent robotics, ICCIR 2023

作者： Gu, Yiding Zhang, Ting Li, Shibin School of Optoelectronic Science and Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9781510671867

3-axis force sensors for both normal and shear force sensing have a promising prospect in the field of robotic applications. In this article, a novel flexible 3-axis force sensor was fabricated. The sensor is featured by a three-capacitor architecture composed of two asymmetric electrode levels separated by a microcone structured dielectric layer. The sensor showed a favorable normal force sensitivity of 2 kPa-1 in the range of 0-100 Pa and a highly linear response to shear force in the range of 0-0.5 N with a sensitivity of 0.063 N-1. The sensor also demonstrates reliable sensing performance on both planar and curved states in cyclic test. © 2023 SPIE.

关键词： Flexible electronics

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