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2023 International Conference on Power Energy Systems and Applications, ICoPESA 2023

作者： Zhao, Zexin Han, Bin Zhao, Guoliang Xu, Yunfei Lu, Zhengang Xiang, Nianwen Wang, Shulai China Electric Power Research Institute Power System Department Beijing China State Grid Smart Grid Research Institute State Key Laboratory of Advanced Power Transmission Technology Beijing China Hefei University of Technology School of Electrical Engineering and Automation Hefei China

ISBN: (纸本)9798350345605

Compared with power frequency AC transmission and DC transmission, low frequency AC transmission has its unique advantages, which is suitable for long distance transmission, large scale renewable generation and regulation of regional power grid. The fault characteristics affect the system design and operation, which is necessary to study. From the perspective of system topology and converter control, the characteristics of three-phase short circuit fault are analyzed and a simulation model is built on PSCAD for verification in this paper. After a fault occurs, it can be divided into two stages before and after the control responses. Before the control responses, the overvoltage is generated between the terminals of branch reactors and modular capacitors discharges. After the control responses, system characteristics are related to fault location and control strategy. The control and modulation of the converter can make the low frequency and power frequency systems interact with each other. This study can provide a reference for the parameters of equipment and converter control, as well as fault protection in low frequency systems. © 2023 IEEE.

关键词： Timing circuits

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Comparing Link Sharing and Flow Completion Time in Traditional and Learning-based TCP

Comparing Link Sharing and Flow Completion Time in Tradition...

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IEEE Workshop on High Performance Switching and Routing

作者： Vishnu Komanduri Cong Wang Roberto Rojas-Cessa Dept. of Electrical and Computer Engineering Networking Research Laboratory New Jersey Institute of Technology Newark New Jersey Dept. of Electrical and Computer Engineering Controls Automation and Robotics Lab New Jersey Institute of Technology Newark New Jersey

ISBN: (数字)9798350363852

ISBN: (纸本)9798350363869

Congestion control design in TCP has primarily focused on maximizing throughput, reducing delay, or minimizing packet loss. Such has been the case in the surge of TCP approaches using machine and deep learning. However, flow completion time, average throughput, and fairness index are the key performance indicators more noticeable to users and used for applications, and thus must be evaluated. We theorize, that an ideal congestion control scheme would have a small average flow completion time, and high average throughput and high fairness index. We aim to analyze the performance of a wide-variety of congestion control schemes to determine the importance of these metrics in designing a congestion control scheme. With this objective, we propose a modified reinforcement learning version of TCP; RL-TCP+, to demonstrate how flow completion time can be minimized and to evaluate it’s impact on bandwidth sharing. Through extensive experimentation, we show that greater link-sharing and fairness do not always result in lower flow completion time, and that flow-prioritization could prove beneficial in certain scenarios.

关键词： Learning systems Bit rate Key performance indicator Packet loss Reinforcement learning Switches Throughput

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Adaptive Control of Euler-Lagrange Systems under Time-varying State Constraints without a Priori Bounded Uncertainty

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IFAC-PapersOnLine 2023年第2期56卷 3360-3365页

作者： Viswa Narayanan Sankaranarayanan Sumeet Satpute Spandan Roy George Nikolakopoulos Robotics and Artificial Intelligence Group Department of Computer Science Electrical and Space Engineering Luleå University of Technology Sweden Robotics Research Center International Institute of Information Technology Hyderabad India

In this article, a novel adaptive controller is designed for Euler-Lagrangian systems under predefined time-varying state constraints. The proposed controller could achieve this objective without a priori knowledge of system parameters and, crucially, of state-dependent uncertainties. The closed-loop stability is verified using the Lyapunov method, while the overall efficacy of the proposed scheme is verified using a simulated robotic arm compared to the state of the art.

关键词： Adaptive control barrier Lyapunov function Euler-Lagrangian system

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Contactless Interaction System Based on Facial Expression Recognition for Humanoid Piano Robot

Contactless Interaction System Based on Facial Expression Re...

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2022 IEEE International Conference on robotics and Biomimetics, ROBIO 2022

作者： Zhong, Ling Wang, Wen Zhu, Shiqiang Ji, Shanshan Zha, Changhai Wan, Minhong Gu, Jason Research Center for Intelligent Robotics Zhejiang Engineering Research Center for Intelligent Robotics Research Institute of Interdisciplinary Innovation Zhejiang Lab Hangzhou311100 China Dalhousie University Department of Electrical and Computer Engineering HalifaxNSB3H 4R2 Canada

ISBN: (纸本)9781665481090

With the wide application of service robots in people's daily life, people are not only satisfied with robots accomplishing tasks independently but also hope that robots can maintain sustainable interaction with human beings. Especially in the field of music, robots need to be equipped with intelligent cognitive skills in decision-making, so that the audience can enjoy immersive appreciation and emotional resonance in the robots performance. Visual perception and natural language understanding are essential for robots to establish human-robot friendly relationships. To enrich the interactive ability of music robots, we design a contactless interaction system based on facial expression recognition, which consists of four modules: voice wake-up, face detection, facial expression recognition, and music mapping. When people wake up the music robot with specific words, the robot will customize appropriate music to perform according to the recognition results of the FER module. As a final step, the interaction system has been successfully applied to the piano humanoid robot independently developed by our team. © 2022 IEEE.

关键词： Decision making

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Deep Learning Based Neovascularization Detection in Color Fundus Photography Image 23

Deep Learning Based Neovascularization Detection in Color Fu...

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9th International Conference on Computing and Artificial Intelligence, ICCAI 2023

作者： Guo, Tianjiao Yang, Jie Yu, Qi Institute of Medical Robotics Institute of Image Processing and Pattern Recognition Department of Automation School of Biomedical Engineering Shanghai Jiao Tong University Shanghai China Institute of Image Processing and Pattern Recognition Department of Automation Shanghai Jiao Tong University Shanghai China Department of Ophthalmology Shanghai General Hospital Shanghai Jiao Tong University School of Medicine Shanghai China National Clinical Research Center for Eye Diseases Shanghai China

ISBN: (纸本)9781450399029

Diabetic retinopathy (DR) has already been one of the leading causes of vision loss. A large number of researches about deep learning-based DR screening using color retinal photography images have been proposed in recent years. However, existing works mainly concentrated on non-proliferative diabetic retinopathy (NPDR) lesions. The exploration of proliferative diabetic retinopathy (PDR) lesion, which is more serious, is still insufficient. In this paper, we explored into one typical PDR lesion named neovascularization (NV). We collected and annotated retinal images from public and private datasets to construct and release a new dataset for NV detection. Three tasks including segmentation, detection, and grading were conducted on our dataset by using a set of state-of-the-art deep learning models. The results show that introducing NV detection can benefit DR grading. However, the segmentation and detection of NV are still challenging and have considerable room for improvement. © 2023 Copyright held by the owner/author(s).

关键词： Color

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Machine Vision Applications in robotics and automation 9

Machine Vision Applications in Robotics and Automation

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9th International Conference on Science, Technology, engineering and Mathematics, ICONSTEM 2024

作者： Bharathi, G.P. Kavitha, P. Abhang, Laxman Baburao Rathinasabapathi, G. Sharma, Vipin Sathish, T. Sri Sai Ram Institute of Technology Department of Computer And Communication Engineering West Tambaram Tamil Nadu Chennai600045 India R.M.K Engineering College Department of Electrical And Electronics Engineering Tamil Nadu Kavaraipettai601206 India Pravara Rural Engineering College Department of Automation And Robotics Maharashtra Loni413736 India Panimalar Engineering College Department of Mechanical Engineering Tamil Nadu Chennai600123 India Medi-Caps University Department of Mechanical Engineering Madhya Pradesh Indore453331 India Saveetha School of Engineering Simats Department of Mechanical Engineering Tamil Nadu Chennai602105 India

ISBN: (纸本)9798350365092

The extensive incorporation of machine vision into the fields of robotics and automation in a variety of different ways. The various uses of machine vision and the revolutionary impact it has on the capabilities of robotic systems. This investigation is fueled by improvements in imaging technology and artificial intelligence. In the abstract, major features such as object detection, navigation, and human-robot interaction are discussed in depth. The abstract also demonstrates how machine vision algorithms contribute to enhanced precision, efficiency, and adaptability in automation processes. The purpose of thisis to shed light on the role that machine vision plays in revolutionising industrial automation, collaborative robotics, and autonomous systems by conducting an examination of real-world implementations and case studies. This all-encompassing investigation not only highlights the current status of machine vision applications but also forecasts the future trajectory of this technology, thereby establishing it as a foundational component for the development of robotics and automation in a variety of fields. © 2024 IEEE.

关键词： Navigation systems

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Fast Visual Servo for Rapidly Seafood Capturing of Underwater Delta Robots

Fast Visual Servo for Rapidly Seafood Capturing of Underwate...

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IEEE International Conference on robotics and Biomimetics

作者： Maosheng Yang Lin Xiao Ce Chen Yangyi Hu Yi Sun Huayan Pu Wenchuan Jia Department of Automation School of Mechanical and Electrical Engineering and Automation Shanghai University China Research Institute of USV Engineering Shanghai University China

In this paper, we propose and design an underwater delta robot for fast seafood grasping. First, the hardware structure of the robot is described in detail. After that, a visual servo control method for fast catching of this underwater delta robot is proposed. The method is able to generate real-time radial trajectories so as to realize the catching based on the swaying of the robot body as well as the movement of the object to be caught. In the actual grasping test, the moving platform and the slave arm can occlude to the target resulting in the loss of target position information. Therefore, we propose a position prediction method to predict the position of the grasped object when occlusion occurs, thus improving the success rate of grasping and ensuring a smooth robot trajectory. Finally, several land and underwater experiments were conducted with good results, which verified the feasibility of the robot structure and algorithm.

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Comparative Analysis among Categorical Shortest Path-finding Algorithms using OPSimDAZ

Comparative Analysis among Categorical Shortest Path-finding...

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International Conference on Computer and Information Technology (ICCIT)

作者： Milton Bhowmick M. Akhtaruzzaman Department of Computer Science and Engineering Military Institute of Science and Technology (MIST) Dhaka Bangladesh Quantum Robotics and Automation Research Group (QRARG) Dhaka Bangladesh

ISBN: (数字)9798331519094

ISBN: (纸本)9798331519100

Efficient navigation of mobile robots is crucial for industrial applications. However, environmental obstacles can pose significant risks and hinder operational optimality. Thus, identifying the ideal algorithm through comparative analysis is imperative. This study examines five popular path planning algorithms; Dijkstra, BFS, A*, D* Lite, and Ant Colony Optimization (ACO); based on 2D grid simulation. The objective is to conduct performance analysis of these algorithms through a custom designed online simulation platform for visualization of path planning strategies. The methodology encompasses a thorough background study, environment setup, development of simulation platform, algorithm implementation, and result analysis with visualization. This study contributes by introducing a new simulation platform, and adding values to the existing knowledge of path planning analysis.

关键词： Visualization Ant colony optimization Navigation Heuristic algorithms Probabilistic logic Path planning Real-time systems Performance analysis Mobile robots Information technology

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An AI-NLP based Interactive Chatbot Model for Patient Prescreening at Doctor’s Consultancy

An AI-NLP based Interactive Chatbot Model for Patient Prescr...

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International Conference on Innovations in Science, engineering and Technology (ICISET)

作者： Sachitra Halder M Akhtaruzzaman Jamal Uddin Tanvin Md Rifat Islam Md Tausiful Haque Department of Computer Science and Engineering Military Institute of Science and Technology (MIST) Dhaka Bangladesh Quantum Robotics and Automation Research Group (QRARG) Dhaka Bangladesh

ISBN: (数字)9798350355499

ISBN: (纸本)9798350355505

Diabetes is a prevalent issue in Bangladesh, presenting significant challenges for healthcare systems. This project aims to develop an integrated health prescreening solution that combines an interactive chatbot with sensor modules for vital health data logging. Effective diabetes treatment requires comprehensive information from patients, including lifestyle, dietary habits, medications, and comorbidities, which typically consumes a lot of time during medical consultations. The proposed system streamlines this process by using dedicated sensors to collect essential health data, such as temperature, heart rate, and oxygen levels. Patients interact with a conversational chatbot to provide additional information, including symptoms and medical history. This data is then displayed on a screen at the end of the conversation for easy reference by healthcare professionals. The project progresses through four main stages: requirement analysis, system design, chatbot development, and sensor integration. While the sensor output may show slight fluctuations compared to medical-grade equipment, the chatbot achieves high accuracy ($\gt \mathbf{9 0 \%}$) in conversation and information extraction. By integrating vital sign monitoring with an interactive chatbot, this project aims to reduce waiting times, enhance efficiency of medical checkups, and improve doctor-patient communication in a modern healthcare setting.

关键词： Temperature sensors Temperature measurement Deep learning Temperature distribution Accuracy Medical services Oral communication Chatbots Diabetes System analysis and design

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Real-time Prediction of Fluid Resuscitation Rate for Burn Patients: A Web Based Fuzzy Logic Approach

Real-time Prediction of Fluid Resuscitation Rate for Burn Pa...

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International Conference on Computer and Information Technology (ICCIT)

作者： Aminul Islam M. Akhtaruzzaman Department of Computer Science and Engineering Military Institute of Science and Technology (MIST) Dhaka Bangladesh Quantum Robotics and Automation Research Group (QRARG) Dhaka Bangladesh

ISBN: (数字)9798331519094

ISBN: (纸本)9798331519100

Effective management of burn patients in the early stages of treatment is crucial for ensuring survival and optimal recovery. A key element of this process is proper fluid resuscitation, which is essential for maintaining organ function and preventing potentially fatal complications such as shock. Accurate and timely assessment of fluid needs, depending on the Total Body Surface Area (TBSA) affected and the patient’s Hourly Urine Output (HUO), is therefore critical. To address these challenges in burn care, this research introduces a modern web application specifically designed for healthcare providers. The application modern technologies, including Spring Boot, React, ***, MySQL Database and a Java fuzzy logic library, to implement fuzzy logic design and modeling based on the Rule of Nines. This application facilitates rapid analysis of burn extent and provides continuous 24-hour monitoring. By offering accurate, hourly recommendations for fluid resuscitation rates, the tool significantly enhances decision-making in critical care settings. The application includes secure doctor login functionality, allowing healthcare professionals to manage patient data efficiently. Patient information is stored in a database for real-time access and ongoing monitoring. The user-friendly interface allows for seamless data entry and quick interpretation of results, making it highly practical in high-pressure emergency situations.

关键词： Fuzzy logic Java Fluids Accuracy Databases Medical services Real-time systems Libraries Monitoring Surface treatment

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