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

共 6868 条记录，以下是1071-1080 订阅

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Integrating IoT and sensor Technologies for Smart Agriculture: Optimizing Crop Yield and Resource Management

Integrating IoT and Sensor Technologies for Smart Agricultur...

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Technology & Engineering Management conference - Asia Pacific (TEMSCON-ASPAC), IEEE

作者： Manoj Ravishankar Suman Siddharth Anand Anil Yadav Sankit Ramkrishna Kassa Electronics & Telecommunication Department Symbiosis Institute of Technology Symbiosis International (Deemed University) Pune India

ISBN: (数字)9798350384659

ISBN: (纸本)9798350384666

This research paper explores the implementation of Smart Agriculture solutions in the context of modern farming. The project employs a range of sensor technologies, IoT devices, and cloud-based data analytics to collect, process, and provide real-time insights to farmers. The study’s objectives include enhancing data-driven decision-making, improving resource efficiency, ensuring environmental sustainability, and promoting affordability and accessibility for a wide range of farmers. The research methodology involved the deployment of advanced sensors, such as soil moisture, light intensity, temperature and humidity, and barometric pressure sensors, across an agricultural field. Data collected from these sensors was integrated into a cloud-based system, which allowed farmers to access real-time information and insights through a user-friendly interface. The results of the experimentation phase demonstrated the effectiveness of the system in optimizing irrigation schedules, enhancing crop health, and conserving resources. Challenges related to data accuracy, connectivity, and initial setup costs were addressed through calibration, network stability, and affordable subscription plans, ensuring the system’s practical applicability. This research paper contributes to the field of precision agriculture by providing an integrated, scalable, and accessible solution for farmers. The study emphasizes data-driven decision- making and sustainable farming practices, making it a valuable resource for enhancing agricultural productivity in the face of modern challenges.

关键词： Smart agriculture Temperature sensors Cloud computing Data analysis Real-time systems Resource management Internet of Things

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A Sensitive Design of Dam Water Level Monitoring and Emergency Alert Handling system using Internet of Things

A Sensitive Design of Dam Water Level Monitoring and Emergen...

引用

International conference on Science Technology Engineering and Management (ICONSTEM)

作者： Anitha Gopalan M. Saranya Nair T Hema Latha Department of ECE Saveetha School of Engineering SIMATS Saveetha University Chennai School of Electronics Engineering (SENSE) Vellore Institute of Technology Chennai Department of Civil engineering Sri Venkateshwara University College of Engineering S V University Tirupati Andhra Pradesh India

ISBN: (数字)9798350365092

ISBN: (纸本)9798350365108

This study presents a comprehensive approach to dam water level monitoring utilizing a range of sensing technologies and data analysis methods. The system integrates various sensors including water level sensors, humidity sensors, rainfall sensors, and ultrasonic sensors to continuously gather real-time data on key parameters within the dam environment. These sensors are strategically deployed to provide insights into water levels, environmental conditions, and potential risks such as flooding. The collected data is then processed and analyzed using advanced algorithms to detect anomalies, trends, and potential hazards. The study also investigates the integration of microcontrollers and IoT technology to automate system control, facilitate data sharing, and enable remote monitoring capabilities. Results from the implementation of this methodology demonstrate its effectiveness in providing timely and accurate information for decision-making, emergency response, and infrastructure maintenance in dam management. Overall, this research contributes to the advancement of dam monitoring practices, enhancing safety, efficiency, and resilience in the management of critical water infrastructure.

关键词： Rain Dams Microcontrollers sensor systems Real-time systems Mathematical models sensors

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Enhancing Mobility and Safety for Vulnerable Populations: An IoT-Enabled Smart Walking Frame with Mobile Application Integration

Enhancing Mobility and Safety for Vulnerable Populations: An...

引用

International conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)

作者： Ying Mei Leong Yau Kit Chung Lip Khi Lim Faculty of Computing and Engineering Quest International University Ipoh Malaysia School of Computing Newcastle University Newcastle United Kingdom

ISBN: (数字)9798331533137

ISBN: (纸本)9798331533144

The Smart Walking Frame revolutionizes mobility assistance for amputees and elderly individuals by seamlessly integrating Internet of Things (IoT) technology with a conventional walking frame. This innovative device addresses critical challenges in safety, independence, and emergency response for mobility-impaired users. The Smart Walking Frame incorporates an Arduino Uno microcontroller and a dedicated mobile application, offering advanced functionalities through embedded buttons. These include an alarm system for immediate attention, an SOS feature for emergencies, and sophisticated obstacle and water detection capabilities. By tackling issues such as limited situational awareness, difficulty in summoning immediate help, and lack of real-time location tracking, the device significantly enhances user mobility and security. Key innovations include the integration of multiple sensors for comprehensive environmental awareness, a Bluetooth-enabled mobile application for seamless control and monitoring, and a real-time GPS tracking system with SOS alerts. The accompanying mobile application extends the device's utility by enabling location tracking and allowing users to configure multiple emergency contacts. By combining these advanced features with the familiar form factor of a walking frame, the Smart Walking Frame offers a comprehensive solution to improve the quality of life and safety of individuals with limited mobility or self-defense capabilities, promising greater independence and peace of mind for users and their caregivers.

关键词： Legged locomotion Technological innovation Navigation sensor systems and applications Real-time systems Safety Mobile applications Internet of Things Older adults Monitoring

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Predictive model-based maximum power point tracking technique for pv applications with reduced sensor count

Predictive model-based maximum power point tracking techniqu...

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2021 International Exhibition and conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2021

作者： Ahmed, Mostafa Abdelrahem, Mohamed Harbi, Ibrahim Kennel, Ralph Munich Germany Electrical Engineering Department Faculty of Engineering Assiut University Assiut Egypt

ISBN: (纸本)9783800755158

Maximum power point tracking (MPPT) is an essential control for any photovoltaic (PV) system. This paper develops a new predictive technique to extract the maximum power from the PV source. The system under study is composed of a PV source followed by a boost DC-DC converter to interface the resistive load. The proposed MPPT strategy combines the idea of the well-known model predictive control (MPC) with the model of the PV source. By doing so, the switching state can be directly generated without the need of the discrete-time model’s derivation as the case in the conventional finite set model predictive control (FS-MPC). Furthermore, the developed scheme decreases the number of required sensors for MPPT. Finally, the superiority of the proposed technique is confirmed, in comparison with the conventional MPC, via simulation results conducted in Matlab platform. © VDE VERLAG GMBH · Berlin · Offenbach.

关键词： Model predictive control

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Design of intelligent breeding management system

Design of intelligent breeding management system

引用

IEEE International conference on Orange Technologies (ICOT)

作者： Lijuan Shi Xueguang Jin Kui Zhang Hailing Wang Changzhou College of Information Technology Changzhou China

ISBN: (纸本)9781665454209

By analyzing the requirements for environmental monitoring and intelligence of pigpen, this paper adopts Arduino development board, wireless communication module and Blinker Internet of Things platform, combined with a variety of sensors, to build a miniature model and develop a intelligent breeding management system integrating environmental monitoring and remote control of animal feeding. Pig breeding management system can realize food and water allowance monitoring, air quality monitoring, personnel identity detection, infrared intrusion prevention and other environmental perception. The system can realize abnormal alarm, lighting control, automatic cooling treatment, automatic disinfection and other remote control. The simulation model system has the characteristics of low cost, convenient installation and good man-machine interface, and has certain practical value.

关键词： Wireless communication Atmospheric modeling User interfaces sensor phenomena and characterization sensor systems Internet of Things Environmental monitoring

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Towards the Integration of Mixed Reality and Machine Learning for Older Adults Personalized Smart Home and Health Monitoring

Towards the Integration of Mixed Reality and Machine Learnin...

引用

Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), IEEE International conference on

作者： Atieh Mahroo Marco Sacco Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing (STIIMA) National Research Council of Italy (CNR) Lecco Italy Department of Informatics Systems and Communication University of Milano-Bicocca Milan Italy

ISBN: (数字)9798350378009

ISBN: (纸本)9798350378016

This contribution proposes a multi-modal system for older adults' health monitoring within the smart home framework that integrates Mixed Reality, a network of IoT sensors, wearable health sensors, and users' feedback to collect data and monitor older adults' health. It provides a comprehensive framework for older adults' health monitoring and safe exercise sessions to enhance their physical and cognitive well-being. The proposed system allows older adults to control the smart home features and benefit from assistive services via a mixed reality application. The system explores exploiting machine learning models to provide personalized physical and cognitive training routines to enhance older adults' quality of life, autonomy, and general well-being. It leverages historical data coming from wearable sensors, smart mixed reality glasses, IoT sensors, and users' feedback to predict the users' health status and activity level and suggest the proper exercise routine accordingly.

关键词： Training Mixed reality Smart homes Machine learning sensor systems Older adults Biomedical monitoring Intelligent sensors Wearable sensors Monitoring

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The Influence of Computer Vision on Road Traffic

The Influence of Computer Vision on Road Traffic

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International conference on Informatics, Multimedia, Cyber and Information system (ICIMCIS)

作者： Melvin Verdinan Mulia Hans Dominic Tirta Said Achmad Rhio Sutoyo Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331533243

ISBN: (纸本)9798331533250

Implementing computer vision in road traffic management brings significant impacts, making transportation systerms more efficient, safe, and sustainable. This advanced technology analyzes real-time traffic conditions, providing crucial data for effective traffic management. Using computer vision, authorities can monitor traffic flow, detect incidents, and manage congestion more effectively. The primary aim of this paper is to explore the challenges and impacts associated with using computer vision in road traffic management while offering insights for future research and practical applications. A systematic Literature Review (SLR) was conducted, adhering to the PRISMA Flowchart Diagram methodology, to identify and evaluate relevant studies in this field. The systematic approach ensures a comprehensive understanding of the current state of computer vision in the transportation sector. The findings from this review underscore the transformative potential of computer vision in enhancing traffic management systems. Moreover, this work highlights several existing challenges that need to be addressed to maximize the benefits of computer vision. These challenges include the need for more advanced algorithms capable of handling diverse and complex traffic scenarios and integrating this technology with existing infrastructure. By identifying these challenges, the paper provides valuable insights for future research, emphasizing the importance of developing more robust and adaptive computer vision systems. Ultimately, this research aims to contribute to advancing computer vision in road traffic management, promoting safer and more efficient transportation systems worldwide.

关键词： YOLO Computer vision Accuracy Transportation sensor fusion Traffic control Cameras Road traffic Real-time systems systematic literature review

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Micro Lens: Components to systems 11

Micro Lens: Components to Systems

引用

conference on Semiconductor Lasers and Applications XI

作者： Liu, Hua Li, Mingsuo Sci & Technol Electroopt Control Lab Luoyang Peoples R China Luoyang Inst Electroopt Equipment AVIC Luoyang Peoples R China Beijing Inst Technol Beijing Peoples R China

ISBN: (数字)9781510646322

ISBN: (纸本)9781510646322;9781510646315

Shrinking optical components and systems without compromising performance has been a challenge. New sensors and components are developing the methodology in research advanced multiple configuration systems. The effect of system evaluated criteria that Modulation Transfer Function (Modulation Transfer Function, the MTF), Energy concentration (Radial Energy Analysis, REA), diffusion (Spot Diagram, RMS) can support our issue qualitatively. Results showed that can not only change systems weight, size and structural stability, but also increase freedom in these kinds design.

关键词： system Engineering sensor system Optimization

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An Asynchronous 160×90 Flash LiDAR sensor with Dynamic Frame Rates of 5 to 250fps Based on Pixelwise ToF Validation via a Background-Light-Adaptive Threshold

An Asynchronous 160×90 Flash LiDAR Sensor with Dynamic Fram...

引用

IEEE International conference on Solid-State Circuits (ISSCC)

作者： Seonghyeok Park Su-Hyun Han Jongbeom Kim Jubin Kang Jung-Hoon Chun Jaehyuk Choi Seong-Jin Kim Ulsan National Institute of Science and Technology Ulsan Korea SolidVue Seongnam Korea Sungkyunkwan University Suwon Korea Sogang University Seoul Korea

ISBN: (数字)9798331541019

ISBN: (纸本)9798331541026

Over the past few decades, LiDAR technology has become a cornerstone in various fields, including autonomous vehicles, augmented reality, and robotics. Unlike traditional scanning LiDAR systems, flash LiDAR technology captures the entire field of view in a single frame, enabling faster 3D mapping with fewer optical components. To manage the large influx of photons received by the sensor, on-chip histogramming time-to-digital converters (hTDC) are widely employed, facilitating time-correlated single-photon counting techniques [1]–[5]. However, their physical size imposes constraints on spatial resolution. Partial histogramming techniques [1]–[3] or shared hTDC architectures leveraging advanced 3D stacking technologies [4], [5] are introduced to shrink its size and improve spatial resolution, although they are susceptible to background light intensity [4] or present limitations in detection range and frame rates [5]. Meanwhile, conventional frame-based LiDAR sensors offer a suboptimal frame rate determined by the pixel with the worst signal-to-noise ratio (SNR) condition. An asynchronous event-driven readout scheme [6] is incorporated into a time-gated photon counting sensor with spiking neurons to support versatile operating modes and frame rates. However, essential control signals for pixel sensitivity and event rates are driven by external components, limiting the scalability.

关键词： Laser radar Three-dimensional displays Stacking Robot sensing systems system-on-chip Solid state circuits Spatial resolution Vehicle dynamics Signal to noise ratio Photonics

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sensor Fusion Neural Networks for Gesture Recognition on Low-power Edge Devices 13

Sensor Fusion Neural Networks for Gesture Recognition on Low...

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13th International conference on Agents and Artificial Intelligence (ICAART)

作者： Balazs, Gabor Chmurski, Mateusz Stechele, Walter Zubert, Mariusz Infineon Technol AG Campeon1-15 Neubiberg Germany Tech Univ Munich Munich Germany Lodz Univ Technol Lodz Poland

ISBN: (纸本)9789897584848

The goal of hand gesture recognition based on time-of-flight and radar sensors is to enhance the human-machine interface, while taking care of privacy issues of camera sensors. Additionally, the system needs to be deployable on low-power edge devices for applicability in serial-produced vehicles. Recent advances show the capabilities of deep neural networks for gesture classification but they are still limited to high performance hardware. Embedded neural network accelerators are constrained in memory and supported operations. These limitations form an architectural design problem that is addressed in this work. Novel gesture classification networks are optimized for embedded deployment. The new approaches perform equally compared to high-performance neural networks with 3D convolutions, but need only 8.9% of the memory. These lightweight network architectures allow deployment on constrained embedded accelerator devices, thus enhancing human-machine interfaces.

关键词： sensor Fusion Gesture Recognition Convolutional Neural Network Radar Time of Flight

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