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检索条件"任意字段=Conference on Advanced Sensor and Control-System Interface"

共 6860 条记录，以下是581-590 订阅

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Simulation of Cyber Physical systems Using Modelica: Case of Master Side in Tactile Internet

Simulation of Cyber Physical Systems Using Modelica: Case of...

引用

IEEE SSD International Multi-conference on systems, Signals and Devices

作者： Ahmed Haval Fattah Wrya Monnet Mechatronics Engineering Department Tishk International University Erbil Iraq Computer Science and Engineering University of Kurdistan-Hewler Erbil Iraq

ISBN: (数字)9798331542726

ISBN: (纸本)9798331542733

Cyber-physical systems combine computational, communication, and physical components. They are employed in many fields, such as manufacturing, transportation, and robotics. CPS's master side overseas, directs, and organizes the entire system. Usually, it provides instructions to actuators on a slave side which gathers information from sensors on the physical parts and sends them back to the master side to control the overall system behavior. Building a CPS system for research purposes is not a simple task, using simulations is a viable choice to explore the possibility and feasibility of such systems before building them. In this work, we suggest the utilization of the simulation tool Modelica to build the master side of a CPS system. This mainly consists of a haptic interface that can manipulate and intervene in a distant physical system, through the slave, while feeding back the force-torque information from the slave. Modelica's choice is based on this software's electromechanical simulation capability. The result of the work shows the utility and usefulness of the simulation tool to generate force signals for the remote end control while receiving torque feedback to simulate the kinesthetic feeling of a haptic interface.

关键词： Tactile Internet Torque Costs Object oriented modeling Computational modeling Buildings Force Cyber-physical systems Main-secondary sensor systems

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Smart LPG Cylinder Trolley

Smart LPG Cylinder Trolley

引用

International conference on Trends in Electronics and Informatics (ICEI)

作者： Suwarna Junghare Surbhi Kakkad Simran Nishad Dnyaneshwari Waghmare Nikita Pawar R & D department NeuAI Labs Pune India

ISBN: (数字)9798331544607

ISBN: (纸本)9798331544614

The Smart LPG Cylinder Trolley presents an innovative approach to managing and monitoring LPG cylinders, utilizing Internet of Things (IoT) technology. The system features advanced sensors for real-time gas level tracking and leak detection, with data processed through a microcontroller. This data is accessible via a mobile or web application, providing users with remote monitoring and control capabilities. By automating safety protocols and improving the refill process, the system seeks to enhance the safety, efficiency, and ease of LPG cylinder handling. Initial tests show that the system can significantly decrease response time for gas monitoring and hazard identification, showcasing its practical benefits for both residential and commercial use.

关键词： Wireless communication Protocols sensor phenomena and characterization sensor systems Real-time systems Internet of Things Time factors Gas detectors Remote monitoring Petroleum

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A Fault-tolerant control Method for USV Trajectory-tracking with sensor Faults

A Fault-tolerant Control Method for USV Trajectory-tracking ...

引用

IEEE International conference on Real-time Computing and Robotics (RCAR)

作者： Weilun Guo Weimin Li Xinyu Wu Haibin Wang Xinxing Mu Qiang Wang Yi Xu Shandong Zhongke Advanced Technology Co. Ltd Jinan China Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China

This paper studies the trajectory tracking problem of the unmanned surface vehicle with sensor deviation faults. Firstly, the trajectory tracking controller based on model predictive control is designed according to the physical characteristics of the unmanned vehicle system. Moreover, an event trigger mechanism is explored in the controller to reduce the waste of computing resources. Then, a H ∞ fault estimator is designed to accurately estimate the value of sensor deviation faults. Finally, the influence of sensor faults on the designed controller is analyzed. At the same time, the faults information was used for improving the tracking performance. The proposed trajectory tracking method with the fault-tolerant algorithm is verified by simulation examples.

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An Efficient Artificial Intelligence based Human-Machine Interaction system

An Efficient Artificial Intelligence based Human-Machine Int...

引用

International conference on advanced Computing and Communication systems (ICACCS)

作者： M Suriya E Anitha N Sudarssan Abishek Venu Venkat V S Deepak Saran K Kunguma Sakthivel Artificial Intelligence and Data Science Sri Eshwar College of Engineering Coimbatore India

In today’s computer systems, the mouse is an essential input device. Touch interfaces are high-contact planes that we use on a regular basis and frequently throughout the period. As a result, the input device gets infested with bacteria and pathogens. Despite the fact that wireless mouse have eliminated the bunch of tangled wires, there is still a desire to tap the gadget. In light of the epidemic, this proposed method employs a outlying webcam or an in-built image sensor to capture arm gestures and identify fingertip detection, allowing users to execute standard mouse activities such as left click, scrolling and other mouse activities. The algorithm is trained using machine learning with the use of image sensor and the fingers are identified efficiently. As a result, this reliance on corporeal devices to manage the computational system cancels out the requirement of man-machine interface. Thus the suggested approach will prevent the proliferation of Covid-19.

关键词： Image sensors Wireless communication Wireless sensor networks Pathogens Microorganisms Webcams Wires

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In-line sensor-based Process control of the Calendering Process for Lithium-Ion Batteries 55

In-line Sensor-based Process Control of the Calendering Proc...

引用

55th CIRP conference on Manufacturing systems, CIRP CMS 2022

作者： Mayr, Andreas Schreiner, David Stumper, Benedikt Daub, Rüdiger Institute for Machine Tools and Industrial Management Technical University of Munich Boltzmannstr. 15 Garching85748 Germany

The calendering process is the final property-defining step in the manufacturing of electrodes for lithium-ion batteries. Calendering significantly affects mechanical properties by compacting the electrodes and increases the lithium-ion batteries' volumetric energy density. The choice of calendering parameters is primarily based on empirical data, considering the final battery cell properties. The drive for increased energy densities and the corresponding high compaction rates results in an increased electrode defect and scrap occurrence. This leads to challenges in process control which are addressed in this paper by developing an agile and predictive sensor-based process control. Hereby an efficient determination of process parameters is enabled, resulting in a reduction of scrap and manufacturing costs. Applying in-line data acquisition for electrode thickness and surface topography allows real-time feedback of measurement data at the machine-product interface back into the calendering system control. Reliable data acquisition is established by integrating two sensor systems for coating thickness measurement (confocal sensors) and defect detection (laser triangulation sensor) in a cascaded arrangement, enabling real-time evaluation of the product properties achieved as a function of the process parameters. The associated potentials and challenges regarding a predictive analysis of machine and product behavior are addressed in this context. The experimental results demonstrate that the combination of both sensor systems offers the potential to establish an agile and innovative process control for the calendering process of lithium-ion batteries. © 2022 The Authors. Published by Elsevier B.V.

关键词： calendering electrode production lithium-ion battery process control sensor integration

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A Brain-controlled Mahjong Game with Artificial Intelligence Augmentation 2nd

A Brain-Controlled Mahjong Game with Artificial Intelligence...

引用

2nd CAAI International conference on Artificial Intelligence (CICAI)

作者： Wu, Xiaodi Qi, Yu Zhu, Xinyun Xu, Kedi Zhu, Junming Zhang, Jianmin Wang, Yueming Zhejiang Univ Qiushi Acad Adv Studies Hangzhou Peoples R China Zhejiang Univ Sch Med MOE Frontier Sci Ctr Brain Sci & Brain Machine In Hangzhou Peoples R China Zhejiang Univ Sch Med Affiliated Mental Hlth Ctr Hangzhou Peoples R China Zhejiang Univ Sch Med Hangzhou Peoples Hosp 7 Hangzhou Peoples R China Zhejiang Univ Affiliated Hosp 2 Sch Med Hangzhou Peoples R China

ISBN: (纸本)9783031205026;9783031205033

Brain-computer interface (BCI) provides a direct pathway from the brain to external devices, which have demonstrated potential in rehabilitation and human-computer interaction. One limitation of current BCI lies in the low precision and stability in control, thus the user scenario and the interaction process play an important role in BCI applications. We propose to leverage the ability of artificial intelligence (AI) to improve the easy-of-use of BCIs. We designed a brain-controlled mahjong game with AI augmentation. As the user plays the game, an AI system continuously monitors the game and suggests several optimal candidate options, and the user directly selects from the candidates rather than from all the mahjong tiles in hand. This design enables the mahjong game with easy control, thus improving the user experience. Our system is evaluated by a human subject with an invasive BCI system. Results demonstrate that the subject can fluently control the system to play the mahjong game.

关键词： Brain-computer interface system design AI augmentation

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Smart Farming system using NPK sensor

Smart Farming System using NPK Sensor

引用

International conference on advanced Computing and Communication systems (ICACCS)

作者： Bharadwaj Cheruvu S. Bhargavi Latha Mada Nikhil Hitesh Mahajan Kongari Prashanth Computer Science Department Gokaraju Rangaraju Institute of Engineering and Technology Hyderabad India

The human population is only growing, and certain steps are to be implemented to meet the future requirements with respect to food. This paper discusses the implementation of a smart farm using Internet of Thing. IoT has led to a faster form of gathering data and inferring from our surroundings. A farmer, with the help of this smart farm system, will be able to keep track of plant and soil vitals in real-time and use the recommendation system, based on a model trained from a dataset, to suggest the best suitable crop based on sensor values. IoT-enabled Smart Farming will enable growers and farmers to enhance productivity and reduce the wastage of resources. The proposed system is a more reliable concept and can be easily implemented as it consists of sensors that can collect vital information about the environment from soil nutrients, temperature, humidity, and soil moisture regularly which is displayed on an easy-to-understand interface to be interpreted by the growers and farmers to understand the best conditions to give their plants.

关键词： Smart agriculture Training Temperature sensors Soil moisture Sociology Servers Reliability

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A Model of 3-DOF Stewart Auto-Balancing system for Low-Cost and High Reliable Embedded Applications 15

A Model of 3-DOF Stewart Auto-Balancing System for Low-Cost ...

引用

15th International conference on advanced Computing and Applications (ACOMP)

作者： Nguyen Pham The Anh Bui Huy Hoang Nguyen Thi Hoai Doan Duy VNUHCM Univ Informat Technol Fac Comp Engn Ho Chi Minh City Vietnam VNUHCM Univ Informat Technol Fac Informat Sci & Engn Ho Chi Minh City Vietnam

ISBN: (纸本)9781665406390

Recently, the automotive industry has increased rapidly and provided a number of efficient solutions for daily life, science, and manufacture. An auto-balancing system is such an automated solution that attracts much attentions from scientists and engineers. Designing a 3-dimension auto-balancing system is challenging in terms of accuracy, responsiveness, and noise reduction. In this paper, we introduce a model of a three-dimension auto-balancing system with high accuracy and low noise. We applies the inverse Kinematics for high accuracy of motor control and sensor fusion technique to reduce noise and increase reliability with sensor fusion of output data from sensors. The proposed system is built and simulated using Matlab model. Simulation results show that the proposed system can significantly reduce noise of sensors and achieve a response of fewer than two milliseconds.

关键词： Three-Dimension balance Auto-Balancing PID Smart Balancing IMU sensor fusion

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Design of Automatic Production Line and control system Based on Multi-sensor Fusion Algorithm

Design of Automatic Production Line and Control System Based...

引用

Networking, Informatics and Computing (ICNETIC), International conference on

作者： Zhongxing Li Sen Lin Harbin Huade University Harbin China

Detectors applying sensor technology are popular with people. sensor technology is an advanced, scientific and intelligent technology, just like human sensory system, which can feel the changes of the external environment and then transmit the perceived external data to the computer. This paper discusses the application of sensor technology in automatic production line, and puts forward an automatic production line and control system based on multi-sensor fusion algorithm. The simulation results show that with the increase of the quantity of experiments, the accuracy of the algorithm is stable at about 94%, and the real-time wavelength tends to be stable. Comparing the accuracy of the multi-sensor fusion algorithm with that of the traditional algorithm, it can be seen that the accuracy of the improved algorithm is obviously superior to that of the traditional algorithm. In order to improve the application level of sensor technology, technicians need to do further research on sensor technology, and better transmit, store, analyze and process information and data, so as to meet the development requirements of various fields.

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A Noval Real Time Sleep Apnea Detection

A Noval Real Time Sleep Apnea Detection

引用

International conference on Power, Energy, control and Transmission systems (ICPECTS)

作者： S. Susila Sakthy T. P. Rani Dhoorika Anurega TR Department of Information Technology Sri Sairam Engineering College Chennai India

ISBN: (数字)9798331508845

ISBN: (纸本)9798331508852

Sleep apnea is a prevalent sleep disorder characterized by repetitive interruptions in breathing during sleep. Timely detection and monitoring of sleep apnea are crucial for effective diagnosis and treatment. We propose a novel approach for sleep apnea detection using Ultra-Wideband (UWB) sensor technology. The UWB sensor system offers several advantages, including high precision, low power consumption, and the ability to penetrate through different materials. By leveraging these features, we aim to develop a non-intrusive and cost-effective method to detect sleep apnea events accurately. Our research focuses on designing a wearable UWB sensor device that can be comfortably placed near the user’s sleeping area. The sensor system utilizes UWB technology to measure and analyze subtle movements and physiological signals during sleep, such as oxygen and heart rate variability. To detect sleep apnea events, we employ advanced signal processing algorithm, By extracting specific features from the UWB sensor data, we can identify the characteristic patterns associated with sleep apnea episodes. The proposed system has the potential to provide an accessible and effective solution for early detection and continuous monitoring of sleep apnea, leading to improved diagnosis, treatment, and overall patient care. Further research on creating a website for hospitals to monitor the apnea patients.

关键词： Power demand Signal processing algorithms Process control Feature extraction Sleep apnea sensor systems Real-time systems Biomedical monitoring Monitoring Ultra wideband technology

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