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International conference on Computer and Automation Engineering, ICCAE

作者： Ravi Thakur Abhinav Arumilli Sai Bhargava Korrapati Sai Kiran Chittapuram Sasank Rithwak Reddy Nakka Nathir A. Rawashdeh Department of Applied Computing Michigan Technological University Houghton USA

ISBN: (数字)9798331533816

ISBN: (纸本)9798331533823

This paper explores the shelf movement in a library system, driven by an Allen-Bradley PLC and an HMI interface. This project was part of the advanced PLC course at Michigan Technological University and involved building a prototype of library shelves using 3D printing technology. The system is controlled by a PLC, which manages NEMA stepper motors and motor drivers to facilitate shelf movement. Limit switches are employed to ensure the safe positioning of the shelves, preventing them from crashing into the walls, while a photoelectric sensor provides additional safety by ensuring the shelves do not move towards a person. This project demonstrates the integration of advanced control systems and mechanical design to automate library shelf operations efficiently.

关键词： Automation Human-machine systems Programmable logic devices Motors control systems Three-dimensional printing Libraries Safety Reliability NEMA

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Autonomous Navigation of a Mobile Robot on Robot Operating system Using Graphical User interface 12

Autonomous Navigation of a Mobile Robot on Robot Operating S...

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Joint 12th International conference on Soft Computing and Intelligent systems / 23rd International Symposium on advanced Intelligent systems (SCIS and ISIS)

作者： Warku, Henok Tegegn Ko, Nak Yong Song, Gyeongsub Jeong, Da Bin Lee, Boeun Derbew, Tegen Eyasu Hwang, Suk-Seung Chosun Univ Dept Elect Engn Interdisciplinary Program IT Bio Convergence Syst Gwangju 61452 South Korea Chosun Univ Dept Control & Instrumentat Engn Gwangju 61452 South Korea

ISBN: (纸本)9781665499248

Many applications of mobile robotics necessitate the safe execution of a collision-free motion to a defined place. Real-time obstacle avoidance strategies enable reactive motion in dynamic and unpredictable situations, whereas planning approaches are best suited for achieving a goal position in known static environments. A ROS-based approach is presented to address the challenge of robot SLAM, which has been used in real-time applications to map the environment, localize the robot within the environment, plan paths, and avoid obstacles. It is demonstrated that all navigation modules can coexist and work together to reach the destination without colliding with static and dynamic obstacles. This paper provides a platform for guiding a mobile robot in a real-world environment autonomously for different waypoints while avoiding static and dynamic obstacles using the Graphical User interface (GUI). The developed GUI-based navigation simplifies the complex ROS navigation system control to an easy user-friendly interface so that anyone can control the mobile robot platform. Our results were validated at Chosun University in South Korea, through the experimental test in an indoor environment.

关键词： navigation Localization Mobile Robot Robot Operating system (ROS) Graphical User interface

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Autonomous Navigation using Lidar sensor in ROS and GAZEBO 2

Autonomous Navigation using Lidar Sensor in ROS and GAZEBO

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2nd IEEE International conference for Women in Innovation, Technology and Entrepreneurship, ICWITE 2024

作者： Subhashini, K. Rathiksha, G. Keerthana, B. Amirthavarshini, P. Sri Sai Ram Engineering College Department of Ece Chennai India

ISBN: (纸本)9798350383287

The field of autonomous navigation has been significantly advanced. Autonomous Vehicle depends on their perception system to obtain critical data pertaining to their immediate environment. This article elucidates the process of developing an autonomous Segway model which uses LIDAR sensor. This Segway can only be used on smooth indoor surfaces and continues on the designated path, dodging obstacles. LiDAR-based autonomous navigation system outlines the development of algorithms for obstacle detection, path planning, and localization. In response to the imperative requirement of safety and precision, LIDAR integration system has been introduced as a supplementary element alongside camera and radar based perception system. Conversely, contemporary practice involves planning most processes through simulations, enabling the anticipation and resolution of future production issues. Therefore, the entire stimulation is done within the Gazebo simulation environment and the entire data communication is managed through ROS (Robot Operating system) which provides a robust platform for implementing in Segway. The robot operating system offers specific configuration options and functionality for a mobile Segway working in autonomous navigation mode. There are phases for making a map, localizing it, and navigating it. The settings of the simulation control parameters as well as the Segway model itself have been optimized and fine-tuned through experiments. © 2024 IEEE.

关键词： Optical radar

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Research on multi-node gait information acquisition system and time synchronization based on BLE 6

Research on multi-node gait information acquisition system a...

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6th International conference on Robotics, Intelligent control and Artificial Intelligence, RICAI 2024

作者： Gao, Yuqi Yu, Chao Zhou, Xu Liu, Junjie Yao, Zhiming Lin, Ning Institute of intelligent Machines Hefei Institutes of Physical Science Chinese Academy of Sciences University of Science and Technology of China Hefei China Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei China Department of Neurosurgery The Affliated Chuzhou Hospital of Anhui Medical University The First People's Hospital of Chuzhou Chuzhou China

ISBN: (纸本)9798331541699

Gait information is critical in various domains. However, achieving accurate time synchronization across multiple sensor nodes in wireless systems remains a challenge, particularly in gait information acquisition, where precise data alignment is essential. Current solutions are limited by high power consumption, system complexity, and transmission instability. This study proposes a multi-node gait information acquisition system incorporating a six-axis inertial sensor and a plantar pressure sensor, with the ESP32 serving as the core processing unit. The system utilizes the low-power Bluetooth protocol for real-time data transmission. To address the issue of time desynchronization, we introduce an average error-based time synchronization algorithm. The algorithm was tested in an experimental setup using a signal generator, two gait systems, and a mobile device. The results demonstrate that the average error method effectively estimates and corrects frequency drift, significantly reducing time synchronization errors. The system offers a low-power, high-precision solution for multi-node gait information acquisition, advancing the accuracy of gait data fusion and analysis. © 2024 IEEE.

关键词： sensor nodes

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Modelling of advanced sensor based Distributed control system for Real- Time Prediction and Minimization of Power Loss in Industrial Automation systems 4

Modelling of Advanced Sensor based Distributed Control Syste...

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4th International conference on Expert Clouds and Applications, ICOECA 2024

作者： Sengeni, D. Mano Jemila, M.R. Priya, G. Soorya Krishnan, T. Santhana Rathinasabapathi, G. Kannan, Sathish CK College of Engineering and Technology Department of Electronics and Communication Engineering Chellangkuppam Tamil Nadu Cuddalore607003 India Dr. N. G.P. Institute of Technology Department of Biomedical Engineering Tamil Nadu Coimbatore641048 India Loyola Institute of Technology Department of Electrical and Electronics Engineering Tamil Nadu Mevalurkuppam Chennai600123 India Department of Electrical and Electronics Engineering Tamil Nadu Thandalam Chennai602105 India Panimalar Engineering College Department of Mechanical Engineering Tamil Nadu Chennai600123 India Saveetha School of Engineering Saveetha Institute of Medical and Techinical Sciences Department of VLSI Microelectronics Tamil Nadu Chennai602105 India

ISBN: (纸本)9798350385793

This research study analyses the integration of a Distributed control system (DCS) to optimise the efficiency and reliability of industrial automation, with a special emphasis on reducing power loss. Leveraging real-time sensor data and machine learning models, including Decision Trees, Artificial Neural Networks, and Random Forests, the research provides a proactive strategy to anticipating and avoiding anomalous current and voltage patterns. The DCS, armed with predictive maintenance procedures, emerges as a solid framework for reducing energy usage, assuring system stability, and limiting possible quality losses. Evaluation using performance ratings and confusion matrices reveals the efficiency of the proposed system in properly recognising and correcting deviations from normal operating circumstances. The results contribute not only to the progress of distributed control systems in industrial automation but also provide a realistic approach to real-time monitoring and predictive maintenance, supporting sustainability and operational excellence in manufacturing settings. This study sets a platform for future initiatives seeking to construct intelligent, adaptable systems for increased industrial automation performance. © 2024 IEEE.

关键词： Predictive maintenance

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Decentralized Input and State Estimation for Multi-agent system with Dynamic Topology and Heterogeneous sensor Network 63

Decentralized Input and State Estimation for Multi-agent Sys...

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63rd IEEE conference on Decision and control, CDC 2024

作者： Wu, Zida Mehta, Ankur University of California Los Angeles Department of Electrical and Computer Engineering Los AngelesCA United States

ISBN: (纸本)9798350316339

A crucial challenge in decentralized systems is state estimation in the presence of unknown inputs, particularly within heterogeneous sensor networks with dynamic topologies. While numerous consensus algorithms have been introduced, they often require extensive information exchange or multiple communication iterations to ensure estimation accuracy. This paper proposes an efficient algorithm that achieves an unbiased and optimal solution comparable to filters with full information about other agents. This is accomplished through the use of information filter decomposition and the fusion of inputs via covariance intersection. Our method requires only a single communication iteration for exchanging individual estimates between agents, instead of multiple rounds of information exchange, thus preserving agents' privacy by avoiding the sharing of explicit observations and system equations. Furthermore, to address the challenges posed by dynamic communication topologies, we propose two practical strategies to handle issues arising from intermittent observations and incomplete state estimation, thereby enhancing the robustness and accuracy of the estimation process. Experiments and ablation studies conducted in both stationary and dynamic environments demonstrate the superiority of our algorithm over other baselines. Notably, it performs as well as, or even better than, algorithms that have a global view of all neighbors. © 2024 IEEE.

关键词： Decentralized systems

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Investigating sensor Technology and Benefits of Intelligent Transport systems 4th

Investigating Sensor Technology and Benefits of Intelligent ...

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4th International conference on Machine Learning, Advances in Computing, Renewable Energy and Communication, MARC 2023

作者： Sharma, Anika Pant, Rajesh Pant, Shivani Chanti, Yerolla Ghalwan, Manish UIM Uttaranchal University Dehradun India UIT Uttaranchal University Dehradun India School of Computer Science and AI SR University Warangal India

ISBN: (纸本)9789819752300

Transportation acts as a backbone for all the countries. advanced Information Technology has given novel solution to many complex problems in the field of intelligent transportation system (ITS). An ITS uses various ranges of telematics methods, which provides consistent and interconnected communication channel. An ITS system comprises of different kinds of sensors integrated in modern vehicles which coordinate and control the vehicle operations and improve its overall performance. The big data generated by these sensors need a robust intelligent system to store, process and utilize it. In this study, we have discussed needs and benefits of ITS for a nation. Further we have discussed the recent advancement in the field of sensor technology which will enhance the function and performance of ITS. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Intelligent systems

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Obstacle Collision Warning Using Ultrasonic and LiDAR sensor Fusion 11

Obstacle Collision Warning Using Ultrasonic and LiDAR Sensor...

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11th IEEE Region 10 Humanitarian Technology conference, R10-HTC 2023

作者： Gurav, Gayatri Balakrishnan, P. Amrita School of Engineering Department of Electronics and Communication Engineering Coimbatore India Amrita School of Engineering Department of Electrical and Electronics Engineering Coimbatore India

ISBN: (纸本)9798350326147

Recently, passenger vehicles were equipped with an advanced Driver Assistance system (ADAS) feature in assisting drivers to control the vehicle, which gives an alarming signal about possible dangers. Obstacle collision warning (OCW) uses sensors installed in front of the vehicle to detect distance between the front obstacle and the vehicle, to avoid a collision. In common, the types of sensors used in obstacle detection are camera, radar, ultrasonic sensor, and so on. In this paper, fusion of ultrasonic sensor and Light Detection and Ranging (LiDAR) is proposed, which provides extended range detection and increased accuracy. Hardware implementation of ultrasonic sensor and Leddar M16 LiDAR sensor fusion is carried out using an Arduino UNO controller and for, in vehicle communication controller Area Network (CAN) protocol were used. The outcome of both short and long-distance obstacle detection using ultrasonic and LiDAR are compared. © 2023 IEEE.

关键词： advanced driver assistance systems

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Design of Real-time Centroid Extraction system for Shack-Hartmann sensor Based on FPGA 3

Design of Real-time Centroid Extraction System for Shack-Har...

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3rd IEEE International conference on Electronic Technology, Communication and Information, ICETCI 2023

作者： Xiaocui, Shen Zhangqin, Huang Han, Gao Beijing University of Technology Beijing Engineering Research Center for IoT Software and Systems Beijing China

ISBN: (纸本)9798350398410

Hartmann wavefront sensor is applied widely in adaptive optics systems. Considering the real-time performance requirements and processing amount of Hartmann sensors in computing the centroids of points, this article proposes an FPGA-based real-time image processing and centroid extraction system. The system adopts FPGA as the core processor and uses the connected domain labeling algorithm and the gray centroid method to complete the centroid calculation. In addition, the calculation results are output simultaneously through multiple DAs to drive the device under test to achieve image wavefront restoration. At the same time, the image data is uploaded to the host computer in real-time through the Ethernet interface. The system has excellent performance in real-time image processing, image output quality, and system control stability. Experiments show that it is an efficient technical means of providing real-time wavefront processing measurement for the Hartmann sensor in various application scenarios, such as adaptive optical correction. © 2023 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Neuronal Multi Unit Activity Processing with Metal Oxide Memristive Devices

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advanced ELECTRONIC MATERIALS 2024年第12期10卷

作者： Sbandati, Caterina Jiang, Xiongfei Yadav, Deepika Stathopoulos, Spyros Cohen, Dana Serb, Alex Wang, Shiwei Prodromakis, Themis Univ Edinburgh Inst Integrated Micro & Nano Syst Ctr Elect Frontiers Sch Engn Edinburgh EH9 3BF Scotland Bar Ilan Univ Gonda Brain Res Ctr IL-52900 Ramat Gan Israel

Intra-cortical brain-machine interfaces (BMIs), able to decode neural activity in real-time, represent a revolutionary opportunity for treating medical conditions. However, traditional systems focusing on single-neuron spike detection require high processing rates and power, hindering the up-scaling for neurons-population monitoring in clinical application. An intriguing proposition is the memristive integrating sensor (MIS) approach, which uses resistive RAM (RRAM) for threshold-based neural activity detection. MIS leverages analogue multi-state switching properties of metal-oxide RRAM to compress neural inputs by encoding above-threshold events in resistance displacement, facilitating efficient data down-sampling in the post-processing, enabling low-power, high-channel systems. Initially tested on spikes and local field potentials, here MIS is adapted to process multi-unit activity envelope (eMUA)-the envelope of entire spiking activity-which has recently been proposed as crucial input for real-time neuro-prosthetic control. Prior necessary modifications to the MIS for effective operation, this adaptation achieved over 95% sensitivity across two types of metal-oxide devices: Pt/TiOx/Pt and TiN/HfOx/TiN, proving its platform-agnostic capabilities. Furthermore, towards the integration of MIS with silicon chips, it is shown that it can reduce total system power consumption to below 1 mu W, as RRAM encoding stage relaxes the signal preservation and noise requirements that challenge traditional complementary metal-oxide-semiconductor (CMOS) front-ends. This eMUA-MIS adaptation offers a viable pathway for developing more scalable and efficient BMIs for clinical use.

关键词： brain-machine interface HfOx metal-oxide RRAM MIS multi-unit activity envelope TiOx

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