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检索条件"任意字段=3rd International Conference on Robotics and Control Engineering, RobCE 2023"

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2023 3rd international conference on Electrical engineering and control Science, IC2ECS 2023

2023 3rd International Conference on Electrical Engineering ...

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3rd international conference on Electrical engineering and control Science, IC2ECS 2023

ISBN: (纸本)9798350382426

The proceedings contain 322 papers. The topics discussed include: electromagnetic design of 10kV high voltage induction motor based on Ansoft Maxwell;efficiency promotion strategy for three-level ANPC-DAB-based DC-DC converter with wide-range multi-objective optimization method;nonlinear data classification of power Internet of Things considering transient and steady state;analysis of early warning indicators for high voltage power cable tunnel fire based on experimental data;real-time evaluation model construction of GIS conductor thermal state based on PSO-BP neural network;research and application of CPS-based automatic circulation system for the entire silk production process;and transmission line relay protection fault-tolerant information sharing and joint analysis method.

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Visual-LiDAR 3D semantic mapping for the unconstructed, large-scale field environment 3

Visual-LiDAR 3D semantic mapping for the unconstructed, larg...

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3rd international conference on Environmental Remote Sensing and Geographic Information Technology, ERSGIT 2024

作者： Su, Zerong Jiao, Haocheng He, Zhongjun He, Junfeng Lin, Xubin Guangdong Key Laboratory of Modern Control Technology Institute of Intelligent Manufacturing Guangdong Academy of Sciences Guangzhou China South China Normal University Guangzhou China Sun Yat-Sen University Guangzhou China Guangzhou Xinhua University Guangzhou China

ISBN: (纸本)9781510690219

Most mobile manipulation tasks in outdoor field environments, such as weeding, fruit picking, and pesticide spraying, demand a 3D semantic environmental model that goes beyond the classical attributes of geometry and appearance to support task planning and execution. However, mapping such an unconstructed environment remains challenging because the environmental conditions are prone to sensor degradation issues to LiDAR or camera-based methods in terms of semantic perception and odometry estimation. To tackle the calibration-dependent issue that exists in association-by-projection methods, a distance-centered seed growth-based method for vision-aided point cloud segmentation is presented, in which the semantic labels automatically expand among the point cloud by exploiting 3D geometrical characteristics. Furthermore, based on such a 3D semantic perception module, a 3D semantic mapping system for large-scale, dynamic scenes is implemented. Experimental evaluation in the real world is conducted. The results suggest that the proposed method is able to overcome the dynamic interference and the unconstructed conditions and to achieve semantic segmentation, pose estimation, and mapping in real-time. © 2025 SPIE.

关键词： Semantic Segmentation

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2023 3rd international conference on Computer Science, Electronic Information engineering and Intelligent control Technology, CEI 2023

2023 3rd International Conference on Computer Science, Elect...

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3rd international conference on Computer Science, Electronic Information engineering and Intelligent control Technology, CEI 2023

ISBN: (纸本)9798350372052

The proceedings contain 182 papers. The topics discussed include: cable defect detection based on terahertz time-domain spectroscopy technology;improvement of multi-mechanism PBFT consensus algorithm based on attribute-based encryption grouping;design and implementation of indoor visual autonomous navigation system for quadrotor UAV based on binocular camera and IMU;LM-Net-Dual: a two branch spatiotemporal feature extraction model for dynamic gestures recognition;finite element simulation analysis of flexible wheel parameters of robot harmonic reducer;configuration and coordinated operation strategy of integrated energy substation for new-type power system construction;online adaptive prediction method for cloud computing workloads with bi-LSTM;a low-side-lobe transmissive antenna based on linear-to-circular polarization conversion metasurface;and design of multi-layer information security protection scheme for vehicle-to-grid system.

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Design a High-Frequency Dual Active Bridge Converter for Discrete Time Frequency

Design a High-Frequency Dual Active Bridge Converter for Dis...

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Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA), international conference on

作者： M. Karthik G. Hemalatha M. Mathankumar L. Sreevidya R. Deepalakshmi V. Kandasamy Department of Electrical and Electronics Engineering SRM Madurai College for Engineering and Technology Pottapalayam Tamil Nadu India Department of Robotics and Automation Sri Ramakrishna Engineering College Coimbatore Tamil Nadu India Department of Electrical and Electronics Engineering SRM Institute of Science and Technology Trichy Tamil Nadu India Department of Electrical and Electronics Engineering V.S.B College of Engineering Technical Campus Coimbatore Tamil Nadu India Department of Computer Science Engineering SRM Madurai College for Engineering and Technology Pottapalayam Tamil Nadu India Department of Electrical and Electronics Engineering Kumaraguru College of Technology Coimbatore India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

The dual active bridge (DAB) has become a crucial interface element in today's sophisticated systems. Renewable energy sources produce DC power, which is then stored in batteries, ultra-capacitors, and other energy storage devices. DAB is a crucial part of power exchange between two different buses because of its galvanic separation and bidirectional power transfer capabilities. The operation of the DAB is compatible with a broad range of input voltages and output loads. The creation of DAB is covered in most works. A well-known semiconductor integrated circuit with programmable control parameters is used in this straightforward, inexpensive method.

关键词： Time-frequency analysis Renewable energy sources Costs Bridge circuits Switched reluctance motors Stability analysis Batteries Telecommunication computing Time-domain analysis Stress

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Proceeding - 2023 IEEE 3rd international Maghreb Meeting of the conference on Sciences and Techniques of Automatic control and Computer engineering, MI-STA 2023

Proceeding - 2023 IEEE 3rd International Maghreb Meeting of ...

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3rd IEEE international Maghreb Meeting of the conference on Sciences and Techniques of Automatic control and Computer engineering, MI-STA 2023

ISBN: (纸本)9798350319897

The proceedings contain 152 papers. The topics discussed include: statistical study of optimizing preparation new SOFC anode;application of business process management in the Libyan international medical university: history and development;the influence of phase-shifted line-of-sight component with correlated-shadows Rician fading over the performance of cell-free massive MIMO;understanding the threat posed by Chinese cyber warfare units;a cloud computing model for Libyan higher education institutions;assessing virtual reality sickness in highly immersive virtual laboratory environments : simulator sickness questionnaire and mitigation strategies;detection of breast tumor using microstrip ring resonator;detection of communication network intruders using artificial neural networks;strongly coupled magnetic resonance based wireless power transfer system for implantable medical devices;a compact patch coupler using cross-slots for 5g applications;classifying leukemia through DNA expression data mining techniques;channel gain in micro-urban environment assisted intelligent reflecting surface;sliding mode control for the satellite with the influence of time delay;and a proposed method for detecting network intrusion using deep learning approach.

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Automated Crop Harvesting with robotics Using AI

Automated Crop Harvesting with Robotics Using AI

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Device Intelligence, Computing and Communication Technologies, (DICCT), international conference on

作者： Kumar P Sangathtamil S Sadiq Peer Mohamed K Department of CSE Rajalakshmi Engineering College Chennai India Department of CSE REC Chennai India

ISBN: (数字)9798331543358

ISBN: (纸本)9798331543365

“Automated Crop Harvesting using robotics and AI” research may truly change the future of modern farming. New Robot Systems Integrated with Smarter Artificial Intelligence So the objective for making self-operating harvesters that can move around fields and find ripe crops using advanced machine vision and executing selective harvesting accurately. Among them, the project on real-time data from Using environmental sensors and AI-driven predictive analytics, the system hopes to improve harvesting. operations, increase crop yield, reduce waste. Innovation addresses pivotal issues such as labour Shortages and high operational costs while promoting sustainable farming practices. Ultimately, this project It works toward making farming better, ensuring that food is produced in a more reliable and efficient way. Also, this project considers how these technologies can work with farm management systems to Provides full monitoring and control. The all-inclusive method not only makes immediate harvesting better. Tasks and also helps with long-term farming plans and managing resources. By encouraging with new developments in robots and AI, the project aims to create better ways in farming technology, opening the This is the way forward to smart farming, the future.

关键词： Temperature sensors Program processors Accuracy Crops Robot sensing systems Manipulators Sensor systems Real-time systems Artificial intelligence Farming

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A Comparative Study of Various Clustering Methods on Dengue Microarray Gene Expression Dataset and Pathway Enrichment Analysis

A Comparative Study of Various Clustering Methods on Dengue ...

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international Symposium on Advanced Computing and Communication (ISACC)

作者： Epsita Das Piyali Chatterjee Department of Computer Science and Engineering Netaji Subhash Engineering College Kolkata India

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

Recently, disease progression caused by dengue virus has intensely increased and affected almost 80 countries of WHO. As a result, in the year of 2023, 6.5 million cases of dengue infection followed by 7300 dengue-related deaths have been reported. The global spread of dengue is driven by the lack of vaccines and insufficient vector control efforts. Human and dengue virus interaction affects gene expression value which needs to be investigated for biomarker prediction. Using clustering methods, it is possible to identify genes contributing to a deeper understanding to know how the virus manipulates host cell machinery and gain insight of the same biological pathways or cellular processes. Clustering results may help in identification of biomarkers, uncovering potential therapeutic targets. This study aims to analyze dengue gene expression dataset GSE51808 through various unsupervised clustering algorithms leveraging the identification of new biomarkers through enrichment analysis.

关键词： Drugs Clustering methods Supervised learning Clustering algorithms Vaccines Gene expression Machinery Intelligent systems Viruses (medical) Machine vector control

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Design and testing of Hybrid Slime Mold Algorithm for Real-Time Adaptive Mobile Robot Path Planning in Dynamic Environments

Design and testing of Hybrid Slime Mold Algorithm for Real-T...

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Advancement in Computation & Computer Technologies (InCACCT), international conference on

作者： Sachin Gupta Shivali Gupta Shaik Mohammed Raith Anand Kumar Salil Bharany Vishnu Kant Ch.Sandeep Department of Robotics and Control Engineering School of Electronics and Control Engineering Lovely Professional University Phagwara India Department of Chemistry School of Chemical Engineering and Physical Sciences Lovely Professional University Phagwara India Department of Computer Science and Engineering Lovely Professional University Phagwara Punjab India Chitkara University Institute of Engineering and Technology Chitkara University Rajpura India School of Computer Science and Artificial Intelligence SR University Warangal Telangana

ISBN: (数字)9798331543891

ISBN: (纸本)9798331543907

Dynamic path planning and collision prevention is one of the key tasks for autonomous vehicles in relation to dynamic movement of obstacles. In this paper, a novel hybrid approach based on integration of Slime Mold Algorithm (SMA), Triangle Inequality Principle (TIP), and Partition Method Strategy (PMS) for solution of this problem statement. The SMA algorithm is very flexible and adaptive by nature due to its biological working mechanism which is associated with TIP and PMS strategies in relation to their optimization and efficient path planning capabilities and robust solutions. This integrated module is tested in virtual environment and the results are compared with other updated algorithms such as A*, Genetic Algorithm (GA), and Particle Swarm Optimization (PSO) for the same static and dynamic environment. It has been observed from the results that this hybrid strategy significantly improves the path planning task several times than other algorithms in terms of multiple aspects. Under testing conditions, the path length was reduced to 25% than other algorithms in a dynamic environment. During this calculation, the computational efficiency of the system has been improved to 60% than conventional methods. The chances of collision have been improved to 34.23% especially in environment where the obstacles are moving. The capability of SMA has been improved due to the synergy between TIP and PMS. The dynamic and adaptive nature of this algorithm is suitable for various applications such as search-and-rescue operations, manufacturing units’ automation and other hazardous environment exploration.

关键词： Navigation Heuristic algorithms Virtual environments Path planning Partitioning algorithms Safety Mobile robots Vehicle dynamics Testing Genetic algorithms

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Edge Computing for Real-Time Decision-Making in Industrial Automation Systems - A Comprehensive Review

Edge Computing for Real-Time Decision-Making in Industrial A...

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Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA), international conference on

作者： R. Raffik V. J. Balamurugan N. Gopinath Pandian Department of Mechatronics Engineering Kumaraguru College of Technology Coimbatore Tamil Nadu India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

The real-time decision-making potential brought by edge computing is disrupting industrial automation, transcending the speed-and-bandwidth limitations of traditional cloud computing. By enabling on-site data processing, edge computing effectively low-latency and responsive applications, e.g., predictive maintenance, process optimization, and autonomous robotics. This paper discusses edge computing architecture and deployment models, its hardware and software components, and networking infrastructure. The objectives to review are to analyze how edge computing facilitates real-time decision-making in automated industrial processes. The discourse is then fully addressed around the different core technologies, advantages, concerns, real-life instances, and future trends toward increasing efficiencies, lowering latencies, and making smart manufacturing possible. Integration of AI and machine learning at the edge levels make real-time analytics, thus improving efficiency and agility. Key challenges under consideration include security, scalability, and economic impact, along with their applications in the real world. Future direction encompasses AI-based analytics, energy-efficient edge devices, and seamless interoperability poised to change its status from enabler to disrupter concerning industrial automation.

关键词： Automation Reviews Decision making Process control Real-time systems Energy efficiency Security Optimization Interoperability Edge computing

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Anesthesia Dose control Using Fuzzy Logic for Cattle

Anesthesia Dose Control Using Fuzzy Logic for Cattle

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3rd international conference on Signal and Data Processing, ICSDP 2023

作者： Saini, Jyoti Singh, Vijay Pal Dhaiya, Suman Department of Electronics and Communication Engineering Guru Jambheshwar University of Science and Technology Hisar India

ISBN: (纸本)9789819795772

Anesthesia plays a crucial role in ensuring the safe and effective management of surgical procedures in veterinary medicine. In particular, administering appropriate anesthesia doses to cattle presents unique challenges due to variations in individual physiology and the need for precise control to avoid under or over-anesthetizing animals. Fuzzy logic enables the modeling and control of complex systems by considering imprecision and uncertainty. In the context of anesthesia dose control, fuzzy logic allows for the incorporation of expert knowledge and the formulation of rules based on linguistic variables, making it suitable for addressing the variability inherent in cattle anesthesia. By employing fuzzy logic, the anesthesia dose control system can capture and interpret information from multiple inputs such as the animal's age, weight, breed, and overall health status. In conclusion, anesthesia dose control using fuzzy logic represents a valuable and promising approach for optimizing anesthesia administration in cattle. By leveraging the strengths of fuzzy logic, veterinarians and anesthesiologists can develop more reliable and adaptive systems, enabling safer and more efficient anesthesia management for bovine patients. Further research and development in this field hold great potential for advancing veterinary anesthesia practice and improving animal welfare in agricultural and clinical settings. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Anesthesiology

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