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检索条件"任意字段=3rd International Conference on Automation, Robotics and Computer Engineering, ICARCE 2024"

共 803 条记录，以下是91-100 订阅

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Smart Irrigation System: Optimizing Water Usage for Sustainable Agriculture 3

Smart Irrigation System: Optimizing Water Usage for Sustaina...

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3rd international conference on automation, Computing and Renewable Systems, ICACRS 2024

作者： Singh, Aditi Pandey, Devyanshika Iqbal, Mohammad Rahil Nazir, Mohammad Rashid Kumar, Sunil Sonal, Deeksha Chandigarh University Computer Science Engineering India

ISBN: (纸本)9798331532420

Water scarcity is a growing global concern, particularly in agriculture. Traditional irrigation methods often lead to inefficient water usage. This research presents a smart irrigation system that utilizes sensor-based technology to optimize water delivery to plants. The proposed system employs sensors to monitor soil moisture and temperature, enabling precise control of irrigation schedules. By automating the watering process, the system significantly reduces water consumption and minimizes the risk of overwatering or underwatering. The proposed system offers several benefits, including increased water efficiency, reduced labor costs, and enhanced crop yield. By adopting this technology, farmers can contribute to sustainable agriculture and mitigate the impact of water scarcity. © 2024 IEEE.

关键词： Soil moisture

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Design and Application of Communication Technology System for Mine Power Supply

Design and Application of Communication Technology System fo...

引用

automation, robotics and computer engineering (icarce), international conference on

作者： Wenqiang XIE Coal Technology&Engineering Group Xi'an Research Institute of China Xi'an China

ISBN: (数字)9798331529505

ISBN: (纸本)9798331529512

This paper deeply discusses the present situation, development and application of communication technology of mine power supply. The communication technology of mine power supply plays a vital role in modern mining production. With the improvement of automation and intelligence in coal mines, the requirements for power supply and communication technology are increasingly strict. The harsh working environment under the mine, such as high dust, high gas concentration and high noise, poses a severe challenge to the stability of power supply and the reliability of communication. Therefore, this paper studies the communication technology of mine power supply, puts forward the system design and application of mine power supply communication technology, and gives a detailed explanation from hardware design to software design and system integration and testing. The test shows that the system improves the safety, efficiency and intelligence level of mine production, which is of great significance for ensuring the safety of miners, optimizing the energy structure and promoting the sustainable development of mines.

关键词： Wireless communication automation Power supplies Production System integration Communications technology Stability analysis Fuel processing industries Safety Testing

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Secure Channel Creation for Task Delivery in Vehicular Cloud Computing to Avoid Denial of Service (DoS) 3

Secure Channel Creation for Task Delivery in Vehicular Cloud...

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3rd international conference on automation, Computing and Renewable Systems, ICACRS 2024

作者： Meenambika, A. Pavalarajan, S. Lavanya, N. Anu Jerom, B. Ajith Divya, S. Department of Computer Science and Business Systems PSNA College of Engineering and Technology Dindigul India PSNA College of Engineering and Technology Dindigul India Department of Artificial Intelligence and Data Science PSNA College of Engineering and Technology Dindigul India

ISBN: (纸本)9798331532420

Vehicular Cloud Computing (VCC) offers a promising platform for supporting various automotive applications and services. However, its distributed and dynamic nature makes it susceptible to Denial-of-Service (DoS) attacks, particularly during channel establishment. This research proposes a comprehensive approach to mitigate these risks by integrating a suite of security mechanisms. These include rate-limiting, resource management, traffic analysis, access control, authentication, encryption, intrusion detection, behavioral analysis, and blacklisting/whitelisting techniques. By incorporating these measures, the proposed approach enhances the security and reliability of VCC, ensuring the availability of critical automotive services and protecting vehicles from the impact of DoS attacks. © 2024 IEEE.

关键词： Cloud platforms

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Home automation Using Wi-Fi: ESP32-Based System for Remote Control and Environmental Monitoring 3

Home Automation Using Wi-Fi: ESP32-Based System for Remote C...

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3rd IEEE international conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Abdul Lateef Haroon, P.S. Shafiulla, Mohammed Naveed, Shaik Mohammed Ahmed, Suhail Nawaz, Shaik Mohammed Kumar, Utkarsh Ballari Institute Of Technology & Management Department Of Electronics And Communication Engineering Ballari India Ballari Institute Of Technology And Management Department Of Computer Science And Engineering Ballari India Ballari Institute Of Technology & Management Department Of Computer Science And Engineering Ballari India Ballari Institute Of Technology & Management Department Of Artificial Intelligence And Machine Learning Ballari India

ISBN: (纸本)9798350318609

This project introduces a comprehensive home automation system leveraging Wi-Fi connectivity and ESP32 micro controllers, aimed at enhancing modern living through seamless automation and user-centric design. The background emphasizes the fusion of IoT technology with home automation, highlighting Wi-Fi's significance in enabling remote monitoring and control of household devices. Methodologically, the project integrates relay modules and DHT11 sensors, orchestrated through a user-friendly smartphone application. Results demonstrate successful implementation and testing, showcasing functionality, reliability, and user-friendliness. Real-time environmental monitoring and remote appliance control fulfill the objectives of enhancing home comfort, convenience, and energy efficiency. The conclusion underscores the project's contribution to advancing smart home technologies, offering users a scalable and customizable solution. Future research opportunities include enhancing system capabilities and addressing security and privacy concerns. © 2024 IEEE.

关键词： Microcontrollers

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Research on Imaging Detection of Defects in X-ray Oil and Gas Casings Based on MIT-MTT Combined Instrument

Research on Imaging Detection of Defects in X-ray Oil and Ga...

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automation, robotics and computer engineering (icarce), international conference on

作者： Xifeng Yi Yang Zhang Huaigu Tian Juanli Zhang Feng Zhang Yubao Li Sinopec Shengli Oilfield Company Petroleum Engineering Technology Research Institute Dongying PR China Xi'an Key Laboratory of Human-Machine Integration and Control Technology for Intelligent Rehabilitation Xijing University Xi'an PR China Shaanxi Huachen Petroleum Technology Co. Ltd Xi'an PR China

ISBN: (数字)9798331529505

ISBN: (纸本)9798331529512

The paper aims to study the X-ray oil and gas casing defect imaging detection based on the MIT-MTT combination logging instrument. By reviewing and analyzing relevant domestic and international literature, the paper summarizes the principles, advantages, disadvantages, and applications of existing algorithms. The research, based on experimental data from the MIT -MTT combination logging instrument, indicates that X-ray-based defect detection algorithms, combined with the imaging of the MIT -MTT combination logging instrument, play a significant role in improving the accuracy, efficiency, and automation of oil well casing inspection. With the continuous development of deep learning and defect detection technologies, the field is expected to achieve more breakthroughs in the future.

关键词： Deep learning automation Instruments Oils Image processing Imaging Inspection X-ray imaging Robots Defect detection

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Enhanced CBBA with Multi-Condition Evaluation for Multi-Robot Collaborative Exploration

Enhanced CBBA with Multi-Condition Evaluation for Multi-Robo...

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automation, robotics and computer engineering (icarce), international conference on

作者： Wei Qian Yonghang Zheng Kang Xu Jiaying Hu Wenwei Qiu Yangmin Xie School of Mechatronics Engineering and Automation Shanghai University Shanghai China

ISBN: (数字)9798331529505

ISBN: (纸本)9798331529512

In multi-robot collaborative exploration of unstructured environments, redundant exploration often occurs, leading to significant consumption of computational resources and thus reducing exploration efficiency. To address this issue, this paper proposed the EC-MCE algorithm, an enhancement of the Consensus-Based Bundle Algorithm (CBBA) algorithm, which integrates a fully connected neural network to evaluate five key factors: travel cost, information gain, loop closure likelihood, revisit probability, and deviation for local benefit evaluation. This approach ensures the efficient allocation of boundary points, which in turn ensures the efficient completion of exploration tasks. The effectiveness of this method was verified on the Airsim simulation platform, with experimental results showing that compared to traditional methods, this approach reduced the total exploration time by about 10% and decreased the number of repeated area explorations by about 20%. These improvements significantly enhance the exploration efficiency of the system while ensuring the safe navigation of multiple mobile robots in unstructured environments.

关键词： Costs Navigation Motion segmentation Neural networks Clustering algorithms Collaboration Robot localization Real-time systems Resource management Mobile robots

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Power robot standardization status and outlook 3

Power robot standardization status and outlook

引用

3rd international conference on Intelligent Mechanical and Human-computer Interaction Technology, IHCIT 2024

作者： Kong, Xuecheng Wang, Zhaoxuan Liu, Hongliang Cui, Xuetao Li, Fei Xiong, Feng Xue, Yu State Grid Shandong Electric Power Company Zibo Power Supply Company Shandong Zibo255000 China School of Electrical Engineering and Automation Wuhan University Hubei Wuhan430072 China Institute of Next Generation Power Systems and International Standards Wuhan University Hubei Wuhan430072 China

ISBN: (纸本)9781510683105

This paper discusses the current status and future prospects of power robot standardization. Power robots, as "special forces" serving the power system, are widely used in power production, operation and maintenance, overhaul and other aspects to ensure the safe and stable operation of the power grid. This article firstly outlines the definition, development history and application status of power robots in the power system, especially China's leading position and achievements in the research and application of power robotics. Subsequently, the article analyzes the important role of power robot standardization in promoting technological innovation, facilitating industrial development, and improving the efficiency of operation and maintenance, and discusses the challenges and problems faced by the current power robot standardization. Finally, combined with the international standardization trends and the development direction of power robotics technology, the future development of power robot standardization is outlook, put forward to strengthen international cooperation, improve the standard system, promote technological innovation and other recommendations, with a view to promoting the continuous progress of power robotics technology and the sustainable development of the power industry. © 2024 SPIE.

关键词： Microrobots

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A Large-Scale Multi-objective Evolutionary Algorithm Based on Two-layer Encoding Scheme for Neural Network Training

A Large-Scale Multi-objective Evolutionary Algorithm Based o...

引用

automation, robotics and computer engineering (icarce), international conference on

作者： Wanting Yang Jianchang Liu Tianzi Zheng College of Information Science and Engineering Northeastern University National Frontiers Science Center for Intelligence and Systems Optimization Northeastern University Shenyang China

ISBN: (数字)9798331529505

ISBN: (纸本)9798331529512

Evolutionary algorithms (EAs) have achieved great performance in solving multi-objective optimization problems (MOPs). However, there are more complex features in real-world MOPs. For example, the neural network training problem is characterized by large-scale decision variables and sparse Pareto-optimal solutions. This makes it difficult for most EAs to solve the neural network training problem. Therefore, this paper proposes a large-scale multi-objective evolutionary algorithm based on two-layer encoding scheme (MOEA- TES). In the proposed algorithm, the two-layer encoding scheme is employed. Moreover, a two-stage evolutionary strategy is designed for guiding the genetic operator. MOEA- TES is assessed by four real-world neural network training problems. Compared with five recent state-of-the-art algorithms, the proposed MOEA- TES achieves competitive results.

关键词： Training automation Neural networks Evolutionary computation Encoding Vectors Optimization Robots Genetic operators

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A New Efficient Classification Method for Monkeypox Virus Skin Lesions Based on MPFormer

A New Efficient Classification Method for Monkeypox Virus Sk...

引用

automation, robotics and computer engineering (icarce), international conference on

作者： Eryang Huan Hui Dun School of Computer Science and Technology Zhengzhou University of Light Industry Zhenghou China School of Electronics and Information Zhengzhou University of Light Industry Zhenghou China

ISBN: (数字)9798331529505

ISBN: (纸本)9798331529512

Monkeypox is a serious zoonotic disease caused by the monkeypox virus. Traditional laboratory detection methods are time-consuming and have high biosafety requirements; in particular, electron microscopy is expensive and complicated to operate. To address these challenges, this paper proposes a novel classification algorithm for monkeypox virus skin lesions based on the Vision Transformer-MPFormer. We adopted a transfer learning strategy to train the MPFormer model on a monkeypox virus skin lesion dataset for accurate classification. Experimental results on the MSLD dataset demonstrate that the proposed algorithm achieves significant performance improvements compared to common models and other classification algorithms, with accuracy, precision, recall, and F1-score reaching 97.78%, 97.88%, 97.78%, and 97.78%, respectively. This study provides an efficient computer-aided diagnostic tool for rapid and accurate detection of the monkeypox virus, offering important practical application value.

关键词： Accuracy computer viruses Computational modeling Transfer learning Transformers Skin Classification algorithms Lesions Viruses (medical) Diseases

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An Improved Method for Identifying SSVEP Single-Channel Target Frequency for BCI Systems 3

An Improved Method for Identifying SSVEP Single-Channel Targ...

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3rd international conference on Emerging Trends in Electrical, Control, and Telecommunication engineering, ETECTE 2024

作者： Wahab, Adeel Khan, Umar Shahbaz Nawaz, Tahir Akbar, Hassan Shah, Syed Tayyab Hussain Khan, Zulfiqar Hasan Department of Mechatronics Engg National University of Sciences and Technology IslamabadH-12 Pakistan National Centre of Robotics and Automation National University of Sciences and Technology IslamabadH-12 Pakistan Department of Basic Sciences and Humanities National University of Sciences and Technology IslamabadH-12 Pakistan Faculty of Electrical Engineering Ghulam Ishaq Khan Institute of Engineering Sciences and Technology Topi Pakistan

ISBN: (纸本)9798331504861

Steady-state visual evoked potential (SSVEP) is a brain response to flickering visual stimuli in the occipital area. SSVEP detection methods usually utilize multichannel configurations, which can be intricate and uncomfortable. Conversely, single-channel configurations are simple and user-friendly, but attaining the necessary accuracy is difficult, requiring the development of a reliable and accurate single-channel technique. For this purpose, this study introduces a hybrid VMD-LGBM approach to single-channel SSVEP detection. The proposed technique utilizes VMD as a preprocessor that decomposes the SSVEP signal into harmonic, intrinsic mode functions (IMFs), and noisy IMFs. To separate harmonic IMFs from noisy IMFs, the crest factor of the cross-correlation function was introduced. Then the restored SSVEP signal is used to extract features using power spectral density analysis (Welch's approach), followed by classification using a Light Gradient Boosting Machine. Our proposed approach performs better than available techniques in terms of classification accuracy and information transfer rate. The proposed single-channel approach provides better efficiency and user-friendliness for practical applications. ©2024 IEEE.

关键词： Harmonic analysis

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