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G-Bot: Revealing Government Programs with Smarted Assistance 2

G-Bot: Revealing Government Programs with Smarted Assistance

引用

2nd International conference on Recent Trends in Microelectronics, automation, Computing, and Communications Systems, ICMACC 2024

作者： Ramathilagam, A. Gunasekaran, Kavitha Pandian, Elamparithi Kumar, M. Satheesh Ponkumar, D. David Neels Saravanakumar, R. P.S.R. Engineering College Department of Computer Science and Engineering Tamil Nadu Sivakasi India Ramco Institute of Technology Department of Artificial Intelligence and Data Science Tamil Nadu Rajapalayam India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai India Iconix Software Solution Tamil Nadu Tirunelveli India

ISBN: (纸本)9798350366570

Residents have had trouble getting accurate state program information for years. G-bot's innovative technology employs NLP to link customers to state-level policies and activities to bridge this knowledge gap. G-bot's core NLP module is taught to deliver reliable and trustworthy information to help people make healthy and progressing decisions. G-bot provides real-time, reliable data to promote public awareness, transparency, and involvement in government processes. Users may explore the enormous state program and regulatory information using G-bot's simple interface. G-bot's Flask integration helps users locate vital information. G-bot enhances user-centric apps beyond information retrieval. AI-powered language processing ushers in a new era, letting individuals shape their communities. G-bot uses NER to identify government entities. This tool simplifies identifying organizations, programs, laws, agencies, and people, improving search results and customizing insights for better decision-making. © 2024 ieee.

关键词： Bot (Internet)

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Research on Data-Driven Comprehensive Battery State-of-Health Evaluation Strategy for Roadside Energy Storage System in Electric Transportation 7

Research on Data-Driven Comprehensive Battery State-of-Healt...

引用

7th ieee Advanced Information Technology, Electronic and automation Control conference, IAEAC 2024

作者： Zhang, Jian Xu, Ting Liu, Lijing Lin, Qing PeiHua University Institute of Intelligent Science and Information Engineering Xi'an China Chang'an University School of Transportation Engineering Xi'an China

ISBN: (纸本)9798350339161

For roadside energy storage systems in electric transportation, assessing battery health status is crucial. This paper utilizes charging and discharging data samples from base stations and power stations under different operating conditions to present the variation of battery health status at different cycle counts. It also examines the current fluctuation and voltage changes of four batteries in the battery pack over a three-day working period. Relevant features of battery charging and discharging are extracted, and battery health status is analyzed through clustering using K-means++ and a comprehensive scoring model, resulting in four levels: excellent, good, fair, and poor. By comparing the two methods, it is found that the comprehensive scoring model performs better than Kmeans++. In summary, the research findings effectively reflect the battery's charging and discharging capabilities, facilitating the assessment of energy storage level in charging facilities. © 2024 ieee.

关键词： Battery Pack

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Intelligent Control Systems for Industrial automation and Robotics 9

Intelligent Control Systems for Industrial Automation and Ro...

引用

9th International conference on science, Technology, engineering and Mathematics, ICONSTEM 2024

作者： Pelleti, Swarupa Kumar, Jambi Ratna Raja Krushnasamy, V.S. Raj, G. Balamuruga Mohan Category - I NIRF University Ranking: 28 Hyderabad India GenbaSopanraoMoze College of Engineering Department of Computer Engineering Pune411045 India Dayananda Sagar College of Engineering Department of Electronics And Instrumentation Engineering Kumaraswamy Layout Bangalore560078 India SriManakulaVinayagar Engineering College Madagadipet Puducherry605107 India

ISBN: (纸本)9798350365092

This study explores the field of Intelligent Control Systems (ICS) and how they have revolutionized robotics and industrial automation. The benefits of ICS over conventional PID control techniques are examined in this work using mathematical models, actual experiments, and performance measures. After conducting a thorough investigation, we discovered that ICS performs very well in tracking accuracy, requires less control effort, and responds more quickly, highlighting its versatility and efficiency in carrying out high-precision tasks. These discoveries have significant ramifications for the industrial sector, bringing in a new age of operational excellence and bringing ICS into line with the ideas of Industry 4.0. Future research aims to solve ethical and interoperability issues, improve human-robot interaction, integrate machine learning for adaptation, optimize ICS algorithms for particular applications, and guarantee scalability and cost-effectiveness. To sum up, this study not only confirms the promise of ICS but also lays out a roadmap for their further development, making them ready to completely transform the industrial sector and push the boundaries of innovation. © 2024 ieee.

关键词： Cost effectiveness

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SARSA (λ) Reinforcement Learning Based Path Planning of Unmanned Aerial Vehicles 13

SARSA (λ) Reinforcement Learning Based Path Planning of Unm...

引用

13th ieee Data Driven Control and Learning Systems conference, DDCLS 2024

作者： Dong, Huaizhi Zhao, Dong Huang, Darong Yan, Kun Ren, Wenjing School of Artificial Intelligence Anhui University Hefei230601 China School of Electronic Information Engineering Xi'an Thchnological University Xi'an710021 China School of Electrical Engineering and Automation Hefei University of Technology Hefei230009 China

ISBN: (纸本)9798350361674

This paper studies the path planning problem of space Unmanned aerial vehicle model based on SARSA (λ) Reinforcement learning method in complex environment. First, we utilize three-dimensional mathematical modeling to describe the positions of drone at each moment and motion trajectories, to facilitate subsequent analysis of state and action spaces. Then, by introducing the concept of eligibility traces into the traditional SARSA reinforcement learning algorithm, we optimize the path planning problem of drones in a three-dimensional environment. Finally, through simulation, it is demonstrated that this method not only accelerates the learning process but also smoothly updates states, thereby enhancing the exploration efficiency of drone path planning in space compared to traditional path planning algorithms. © 2024 ieee.

关键词： Drones

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Does Increasing Takeover Time Budget Improve Driver Takeover Performance in Different Hazard Visibility Scenarios?

Does Increasing Takeover Time Budget Improve Driver Takeover...

引用

2024 ieee International conference on Industrial engineering and engineering Management, IEEM 2024

作者： Li, Ming-Jie Huang, Wei-Chi Wang, Yi-Yan Han, Zi-Jian Niu, Ya-Feng Department of Design Science School of Mechanical Engineering Southeast University Nanjing China

ISBN: (纸本)9798350386097

Autonomous driving technology has the potential to significantly reduce the number of traffic accidents. However, until full automation is achieved, drivers will still need to take over the vehicle in complex and varied scenarios that the autonomous driving system cannot handle. Therefore, optimal takeover time budget is required to enhance takeover performance and driving safety. This paper designs takeover tasks in different hazard visibility scenarios (obvious hazard scenarios, hidden hazard scenarios) and investigates the effect of different takeover time budgets (5s, 7s, and 9s) on takeover performance through ergonomics experiments. Performance analysis and subjective evaluation methods are further used to analyze the data on driver takeover performance under different hazard scenarios and takeover time budgets. © 2024 ieee.

关键词： Budget control

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Design of Border Patrol Robot System Based on ROS 14

Design of Border Patrol Robot System Based on ROS

引用

14th ieee International conference on Cyber Technology in automation, Control, and Intelligent Systems, CYBER 2024

作者： Li, Xudong Chen, Yang Wang, Hongpeng School of Information Science and Engineering Wuhan University of Science and Technology Wuhan430081 China School of Artificial Intelligence Nankai University Tianjin300071 China National University of Defense Technology Laboratory of Science and Technology on Integrated Logistics Support Changsha410073 China

ISBN: (纸本)9798331506056

In order to improve the efficiency and safety of border patrol work, this paper designs a new border patrol robot system, which includes a hardware structure, software design, path planning algorithm, recognition algorithm, and other aspects. The patrol robot employs an enhanced particle swarm algorithm to execute path planning for the patrol route. The robot's video stream and status information are transmitted to the ground station via the local area network. The developed ground station can issue real-time control and tracking directives to the robot, enabling the tracking of suspicious targets. The system's effectiveness was demonstrated through experimental validation, confirming its ability to significantly enhance the efficiency and safety of border patrol operations. © 2024 ieee.

关键词： Motion planning

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A Lagrangian Relaxation Heuristic Approach for Coordinated Global Intermodal Transportation 18

A Lagrangian Relaxation Heuristic Approach for Coordinated G...

引用

ieee 18th International conference on automation science and engineering (ieee CASE)

作者： Guo, Wenjing Negenborn, Rudy R. Atasoy, Bilge Wuhan Univ Technol Wuhan Peoples R China Inland Port & Shipping Ind Res Co Ltd Guangdong P Wuhan Peoples R China Delft Univ Technol Delft Netherlands

ISBN: (数字)9781665490429

ISBN: (纸本)9781665490429

This paper considers a coordinated global shipment matching problem in which a global operator receives shipment requests from shippers and three local operators provide local transport services in different geographical areas. While local operators make local matching decisions, the global operator combines the matched local services into itineraries to provide integrated transport for shipments. To handle the interconnecting constraints between different operators, a Lagrangian relaxation heuristic approach is developed. Under the proposed approach, the original problem is decomposed into local operator-related subproblems. These subproblems are optimized iteratively under local constraints as well as under the incentives imposed by the global operator to meet interconnecting constraints. The experiment results show that with the proposed approach, global transport planning that requires coordination among different operators to achieve a common goal can be realized.

关键词： Computer aided software engineering automation Transportation Planning

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Optimization model of urban road signal lights based on non dominated sorting genetic algorithm 2

Optimization model of urban road signal lights based on non ...

引用

2nd ieee International conference on Electrical, automation and Computer engineering, ICEACE 2024

作者： Duan, Banxiang Li, Lintao Zhang, Zhouqi Li, Jiamei Guangdong Institute of Science and Technology Computer Engineering Technical College Zhuhai519090 China

ISBN: (纸本)9798350368208

This article explores the optimization of urban traffic flow control. On the basis of data preprocessing, the K-Means clustering analysis algorithm was used to divide a day into several time periods and estimate the traffic flow at the intersections of Jingzhong Road and Weizhong Road. The use of non dominated sorting genetic algorithm for signal light optimization significantly improved the average speed of vehicles. A random forest model for identifying parade vehicles was established using vehicle characteristics such as threshold setting and turnover rate. A classifier was used to train and classify the vehicles, and the parade vehicles for each day of the May Day Golden Week were calculated. Finally, the effectiveness of the control measures was evaluated based on indicators such as the average speed, delay time, and queue length of vehicles. © 2024 ieee.

关键词： Random forests

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Image Processing-Enabled Validation for Robotic Test automation: A Case Study on POS Devices 9

Image Processing-Enabled Validation for Robotic Test Automat...

引用

9th International conference on Computer science and engineering, UBMK 2024

作者： Emektar, Mirac Kadioglu, Harun Efendioglu, Ahmet Harmanci, Fatih Mehmet Virgosol Istanbul Turkey

ISBN: (纸本)9798350365887

This study conducts an in-depth examination of the effectiveness of robotic automation systems in the testing processes of POS devices used in payment systems. It compares the shortcomings of traditional manual testing in terms of speed, accuracy, and consistency with modern automation techniques. The advantages provided by automation, such as speed, consistency, and repeatability, are critical for testing POS devices in complex, multi-stage scenarios. The study focuses on the Roboclick project, successfully completed by Virgosol under the KOSGEB R&D, Product Development, and Innovation Support Program. The system developed within this project is designed not only to test the basic functions of POS devices but also to evaluate their operational processes, which arc integrated with various platforms such as web, desktop, and mobile. This system goes beyond traditional automation tools by enabling the automation of more comprehensive and in-depth test scenarios. The robotic arm-based system has been able to more effectively assess the performance, reliability, and debugging processes of POS devices. The findings indicate that robotic automation has the potential to not only accelerate test processes but also significantly enhance the accuracy and consistency of fest results. In this context, it is emphasized that robotic automation makes a substantial contribution, particularly in exccuting high-volume test scenarios and in continuous integration processes. © 2024 ieee.

关键词： Program debugging

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Development of Operational Framework and Standard Requirements for AI Assisted Robotic Surgery: Analysis Level of Autonomy

Development of Operational Framework and Standard Requiremen...

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2024 Asian conference on Intelligent Technologies, ACOIT 2024

作者： Kumar, Sandeep Khurana, Chetan Prakash Joshi, Tripuresh Kumar, M. Madhu Manikya Prabhakar, Prajith Kharayat, Pushpendra Singh Deptt. of Computer Science & Engg. Tula’s Institute U.K. Dehradun India Department of Mechanical Engineering Graphic Era Hill University Bhimtal Campus India Deptt. of Electronics &Comm. Engg. Tula’s Institute U.K. Dehradun India Department of Electronics and Communication Engineering Aditya College of Engineering and Technology Karnataka Kamakshipura India Department of Thermal Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Science Chennai India Department of Electrical Engineering Graphic Era Deemed to be University Dehradun248002 India

ISBN: (纸本)9798350374933

Almost every facet of contemporary life is being revolutionised by artificial intelligence (AI). Robotic surgery is the field of medicine that has seen some of the most significant and inventive *** range of surgeries that can be performed has expanded thanks to robotic surgery. Over the last ten years, a number of instances of partial surgical automation have been observed. We decompose the path of automation jobs into features that are necessary and offer a checklist that can assist in achieving higher surgical automation levels. Advances in technology, such as RMIS (robotic-assisted minimally invasive surgery), have created new opportunities for automated and objective assessment systems. In this study, we automatically evaluated the surgeon's performance in RMIS using machine learning *** classification techniques are used to distinguish between experienced and inexperienced surgeons. In order to evaluate the approach utilising actual surgical data for suturing tasks, this study compares the classification result with ground truth data. The outcomes of the experiment demonstrate that the suggested framework has 91.5% classification accuracy for surgical skill level. © 2024 ieee.

关键词： Robotic surgery

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