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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731-740 订阅

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An Augmented Reality based Intelligent Precision Agriculture using Cascade Advancement Technique

An Augmented Reality based Intelligent Precision Agriculture...

引用

International conference on Trends in Electronics and Informatics (ICEI)

作者： M. Ulagammai R. Narayana Moorthy Electrical and Electronics Engineering Saveetha Engineering College Chennai Tamilnadu Embedded Systems Technologies Saveetha Engineering College Chennai Tamilnadu

Agriculture is the backbone of developing countries and it is very important to the country's economy. Therefore, automation must be used in agriculture to solve the issues. The proposed system is based on augmented reality intelligent precision agriculture using the smart sensor. It consists of the hardware ESP32 microcontroller, DHT11 sensor, and Load, and the software unity hub in Augmented Reality technology and Blynk application is used. The proposed system uses a deep learning algorithm characterized by 4 process categories 1) sensor interface, 2) wireless transmission, 3) data processing and 4) data monitoring and controlling. Agriculture characteristics are mostly maintained in the IoT platform, and the AR controls the water outlet during irrigation. To improve system performance and reach maximum efficiency, it is helpful for farmers to maintain irrigation properly. This leads to alternatives that may be both effective and practical.

关键词： Wireless communication Water Irrigation Wireless sensor networks system performance Software algorithms Process control

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Automated Medicine Dispenser Assistant (AMDA)

Automated Medicine Dispenser Assistant (AMDA)

引用

International conference on Computer and Communications Technologies (ICCCT)

作者： S. Susila Sakthy T.P. Rani K.R. Saradha I.V. Madumitha H. Arshad Khan V. Manikandan Dept of Information Technology Sri Sairam Engineering College Chennai India

ISBN: (数字)9798331537579

ISBN: (纸本)9798331537586

The goal of this project is to improve patient medication adherence by automating, accurately, and promptly dispensing medication. An Automated Medicine Dispenser Assistant (AMDA) has been designed and put into operation. The system uses contemporary technology to improve patient care and is designed to be very interactive, user-friendly, and efficient. The Raspberry Pi, which acts as the main controller, forms the foundation of the AMDA. By integrating face recognition technology, it can identify patients and administer the right drug from one of ten compartments in accordance with customized schedules. This lowers the possibility of medication mistakes by guaranteeing that each patient receives the right amount at the right time. Stepper motors for exact control of the pharmaceutical compartments, load sensors for precise dose, and ultrasonic sensors for obstacle detection are important parts of the system Caregivers may remotely monitor and control medication regimens with the help of a Flask web server running on a Raspberry Pi. The server offers an online interface that can be accessed by web browsers. By using voice instructions and feedback for user engagement instead of a costly touchscreen interface, the initiative also focuses on cost-effectiveness. Through the use of encryption and secure communication protocols, the entire system is built to be safe. The overall goals of the AMDA are to improve medication management in both clinical and home settings, decrease medication mistakes, and increase patient compliance.

关键词： Schedules Protocols Face recognition Touch sensitive screens Motors Web servers sensor systems Software sensors Monitoring

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The Study on Online SSVEP based BCI system using CCA method 4

The Study on Online SSVEP based BCI system using CCA method

引用

4th IEEE advanced Information Management, Communicates, Electronic and Automation control conference, IMCEC 2021

作者： Yong, Yingqiong Zang, Boyu Yang, Jia Li, Shengjia China Academy of Launch Vehicle Technology R&D Department Beijing China Beijing Institute of Technology School of Information and Electronics Beijing China

ISBN: (纸本)9781728185347

Brain Computer interface (BCI) is a new type of human-computer interaction technology, which can be used for space remote operation and auxiliary control of devices. In this work, online Steady State Visual Evoked Potential (SSVEP) based BCI system using Canonical Correlation Analysis (CCA) method is studied. The SSVEP stimulus paradigm with 10 stimuli is designed. The effect of different playing time and intercepting time on recognition accuracy rate and Information Transmission Rate (ITR) is analyzed. The average accuracy rate for the case of playing 3s and intercepting 2.5s is more than 90%. The average ITR is higher than 40 bit/min. © 2021 IEEE.

关键词： Brain computer interface

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IoT-Driven Smart Home Automation: A Comprehensive Approach with ESP32 and Cloud Service

IoT-Driven Smart Home Automation: A Comprehensive Approach w...

引用

Mobile Computing and Sustainable Informatics (ICMCSI), International conference on

作者： Shravya Shetty Krishnaraj Rao N S Priya Darshini T Neha TM Sonia Maria D souza Prajna M Dept. of AIML New Horizon College of Engineering Bengaluru India Dept. of ISE NMAM Nitte Karkala India Dept. of CSE St Joseph Engineering College Mangaluru India

ISBN: (数字)9798331522667

ISBN: (纸本)9798331522674

The Internet of Things' quick development and widespread availability have made home automation a topic of interest. The study introduces an innovative smart home automation system utilizing IoT technology, featuring an ESP32 module as the central server and Wi-Fi for communication. By integrating sensors, switches, and a smartphone-based control interface through the Android IoT Cloud platform, the system allows both manual and remote management of home appliances. Key benefits include real-time environmental monitoring, twoway control, and enhanced safety. Automation elements, such as a stepper motor for precise control of blinds, are also incorporated. The research demonstrates IoT's potential for enhancing home automation and sets the stage for future advancements in the field.

关键词： Temperature sensors Cloud computing Home appliances Automation Smart homes User interfaces sensor systems Real-time systems Intelligent sensors Wireless fidelity

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Development of an loT Web-Based Water Temperature control system for Nano Fish Tanks

Development of an loT Web-Based Water Temperature Control Sy...

引用

International conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON

作者： Yotaka Tungtragul Jaruwan Wongkham Siravat Matarach Atirarj Suksawad Kidsanapong Puntsri Piyanuch Tangkittipon Computer Engineering Faculty of Engineering Rajamangala University of Technology Isan Khon Kaen Thailand

ISBN: (数字)9798350381559

ISBN: (纸本)9798350381566

Nano fish tanks are highly sensitive to temperature fluctuations due to their small water volume, presenting risks to aquatic life. This paper introduces an innovative loT Web-Based Water Temperature control system that integrates the ESP-32 microcontroller for dynamic temperature regulation with a user-centric web application. The hardware setup, involving temperature sensors and temperature control mechanisms, interacts with a serverless software architecture to maintain ideal aquatic conditions. The system offers real-time data from sensors and interactive controls similar to the Nano tank's physical interface, powered by a cloud-based database and RESTful APIs for robust data management. The LINE Notify API enhances the system by promptly alerting users to temperature anomalies, ensuring the hardware-software integration achieves precise environmental control. Successfully tested in real-world environments, this system provides users with remote access and immediate tank status updates, offering potential for scalability in aquatic care.

关键词： Temperature sensors Temperature distribution Scalability Restful API Fish sensor systems Regulation

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Real-time Monitoring and control systems Using IoT-Integrated Wireless sensor Networks - Leveraging Machine Learning Algorithms for Enhanced Performance and Efficiency

Real-time Monitoring and Control Systems Using IoT-Integrate...

引用

Cybernation and Computation (CYBERCOM), International conference on

作者： Subbiah Swaminathan N. Poongavanam M. Arun S. Pushparani A. Muthukrishnan Prashant Johri Department of Information Technology Rajalakshmi Engineering College Chennai Tamil Nadu India Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Saveetha University Chennai Department of Electronics and Communication Engineering Panimalar Engineering College Chennai Tamil Nadu Department of Computer Science and Engineering Meenakshi College of Engineering Chennai Tamil Nadu Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi Chennai Tamil Nadu India School of Computer Application and Technology Galgotias University

ISBN: (数字)9798331542344

ISBN: (纸本)9798331542351

This paper introduces a developed real-time monitoring and control system using Internet of Things (IoT) incorporated Wireless sensor Networks (WSNs) supported by machines learning algorithms. The system focuses at meeting core issues and questions in terms of productivity, reliability and timeliness within evolving settings. The current paper contributes to the ongoing research and development in the area of IoT and WSN to enable, always-on real-time data gathering from a variety of discrete sensors which is invaluable for various applications including industrial, environmental and smart city applications. The heart of the system is based on the idea of utilising machine learning methods to acquire and elaborate sensor signals. More specifically, the deep learning models that are used include Long Short-Term Memory (LSTM) networks as well as Reinforcement Learning (RL) algorithms for predictive analytics, as well as anomaly detection. The work also entails a comparison of the system performance based on energy consumption and other factors such as latency, packet delivery ratio and even the accuracy of the predictions made by the system. The findings suggest improved utilisation within substantial ranges; decreased energy use by 30 per cent or more. 7%, latency decrease by 33. Although achieving this was accompanied by an increased data packet loss rate to 3%, the overall packet delivery ratio was boosted to 98%. Additionally, the system established overall accuracy rate of 95% with negligible error percentage. In conclusion, this research proves the applicability of incorporating the IoT and the advanced machine learning methods in the real-time monitoring and control systems development to overcome cases of low efficiency and reduced performance in numerous real-world applications..

关键词： Wireless sensor networks Energy consumption Machine learning algorithms Accuracy Smart cities Predictive models control systems Real-time systems Reliability Long short term memory

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Design and Implementation a Low-Cost Smart House Automation system using Bluetooth and sensor Technology

Design and Implementation a Low-Cost Smart House Automation ...

引用

International conference on Developments in esystems Engineering (DESE)

作者： Wasan Abd Majeed Salah A. Aliesawi Department of Computer Science University of Anbar Ramadi Iraq

This paper presents a voice-controlled and low-cost design of a practical smart house system (SHS). The proposed system uses to remotely control all digital devices using voice commands, and gives safety by identifying fire and recognizes suspicious movement. It is based on group of sensors, Arduino board, GSM and Bluetooth as a wireless technology to connect system components. Some appliances and sensors are directly associated with the Arduino. These appliances can be effectively controlled by user-friendly mobile interface. The microcontroller can additionally send signals if it identifies any unusual movement. To show the reliability and viability of this framework, devices such as LED lights, temperature, PIR Motion and ultrasonic distance detection sensors are incorporated with the proposed system. The proposed system is shown to be an easily configurable system, sensible, secure, cost effective and required less power comparing with other reviewed systems. Therefore, it is an appropriate and great candidate for the SHS.

关键词： Temperature sensors Wireless sensor networks Bluetooth Personal digital devices Speech recognition sensor systems Safety

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An Integrated Optical Transceiver Circuit for Power Delivery and Bi-directional Data Communication in a Medical Catheter Device 48

An Integrated Optical Transceiver Circuit for Power Delivery...

引用

48th IEEE European Solid State Circuits conference (ESSCIRC)

作者： Frank, Alexander Anders, Jens Burghartz, Joachim Kootte, Bart Schleipen, Jean Jutte, Peter IMS CHIPS Inst Mikroelektron Stuttgart Germany OSYPKA AG Rheinfelden Germany Philips Grp Innovat Res Eindhoven Netherlands

ISBN: (数字)9781665484947

ISBN: (纸本)9781665484947

In this paper*, the realization of an optical transceiver circuit (OTC) integrated into a customized catheter system is presented. The electronics at the distal end of the catheter is located far away from the external bed-side unit and is connected by an optical link to control its functions. By means of light only, the optical link simultaneously delivers power and establishes a bi-directional data communication. The optical link consists of just a few components, i.e. a multi-mode fiber, a blue LED, an external unit and the optical transceiver circuit. The LED is located at the catheter tip and is used by the OTC to operate as an optical transceiver and energy harvester. Several circuit blocks are integrated into the OTC, to provide a regulated voltage of 1.8 V at a maximum current of 2.1 mA. The OTC establishes a communication with a speed of up to 15.6 kBits/s for receiving and 1.35 MBits/s for transmitting data. Because of the small area and only less components to set up the link at the sensor side, the optical link is very suitable for application to the catheter system presented in this paper. The concept can also be applied to other biomedical or industrial sensor systems, where conventional approaches, using electrical wiring, are unpractical.

关键词： Bi-directional optical interface transceiver biomedical applications LED energy harvesting MRI compatible

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More Than Automation: User Insights into the Functionality and interface of Wheelchair-Mounted Robotic Arms 20

More Than Automation: User Insights into the Functionality a...

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20th Annual ACM/IEEE International conference on Human-Robot Interaction, HRI 2025

作者： Jia, Lesong Styler, Breelyn Kane Du, Na School of Computing and Information University of Pittsburgh Pittsburgh United States Va Pittsburgh Healthcare System Human Engineering Research Laboratories Pittsburgh United States

ISBN: (纸本)9798350378931

While voice-controlled automated Wheelchair-mounted robotic arms (WMRAs) could potentially offer more natural and simplified interactions than manual control, they introduce new challenges related to human-robot collaboration. To explore user expectations in terms of functionality and interface, we conducted semi-structured interviews with 13 powered wheelchair users who have upper limb impairments. A prototype with a robotic arm, a camera, and a Unity-based simulated interface was developed to help users understand the concept and functionality of the voice-controlled automated WMRA system during interviews. With safety as a priority, we found that users prioritized the WMRA's ability to grasp objects in challenging positions, such as on the ground or at high locations, and emphasized the need for a versatile gripper. Users also expected the WMRA to assist in performing complex daily tasks, with varying expectations for its performance based on task difficulty. Regarding the interface, users sought more information about the system's awareness and task execution, while emphasizing the importance of avoiding information overload. The demand for detailed safety information, such as temperature and gripping force, pointed to the need for enhanced sensor capabilities in the WMRA system. Additionally, concerns about privacy underscored the need for clear communication on privacy policies. Our results provide user-centered insights for automated WMRA, offering design implications and future research directions in areas such as user modeling, hardware, algorithms, and interface development. © 2025 IEEE.

关键词： Robotic arms

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A Lower-Limb Exoskeleton control system based on Brain-Computer interface with Multiple Motor Imagery Segments Decoding

A Lower-Limb Exoskeleton Control System based on Brain-Compu...

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International conference on Application of Information and Communication Technologies (AICT)

作者： Zitong Wan Zheyu Yao Yuting Zheng Mengjie Huang Rui Yang Design School Xi’an Jiaotong Liverpool University Suzhou China School of Advanced Technology Xi’an Jiaotong Liverpool University Suzhou China

ISBN: (数字)9798350387537

ISBN: (纸本)9798350387544

With the persistent exploration of brain science, brain-computer interfaces (BCI) have been developed and applied in various fields in recent years. Lower-limb rehabilitation exoskeleton control systems based on BCI achieve better effects than traditional rehabilitation methods. However, control systems based on motor imagery (MI) signals are still difficult to popularize because of low online recognition rate, high latency and unstable control. In this paper, a lower-limb exoskeleton control system based on multiple segments decoding is proposed, which can support the subject to complete the movement of raising unilateral leg tasks. First, the MI decoder is trained by the data collected offline. The online control system wirelessly connects the EEG cap with the lower-limb exoskeleton, transmits the MI signal in real-time for online decoding, and controls the exoskeleton according to the decoded instructions, which a multi-segment decoding strategy is used to improve control accuracy and system robustness. The effectiveness of the proposed system is evaluated in the online experiment, which indicated that the system is efficient for walking rehabilitation training under various scenarios.

关键词： Training Legged locomotion Image segmentation Accuracy Exoskeletons Virtual reality control systems Motors Brain-computer interfaces Decoding

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