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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911-920 订阅

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Tutorial: Automotive system Design

Tutorial: Automotive System Design

引用

IEEE International conference on Solid-State Circuits (ISSCC)

作者： Sugako Otani Renesas Electronics Tokyo Japan

ISBN: (数字)9781665490160

ISBN: (纸本)9781665490177

The automotive industry is in the midst of a significant transformation. “CASE: Connected, Autonomous, Shared & Service, Electric” has been advocated as a trend. Along with this trend, automotive E/E (Electrical/Electronic) architecture has rapidly progressed toward ECU (Electronic control Unit) integration and centralization in the autonomous driving era. The tutorial introduces automotive system design and key technologies of LSI devices, including processors for advanced vehicle control and cognitive/judgment processing. Multiple safety mechanisms for automotive functional safety are also covered.

关键词： Tutorials Radio frequency Wireless communication Transceivers Solid state circuits Quantum computing Optical transmitters Computer architecture Wireless sensor networks Training

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IoT-Based Greenhouse Environment Monitoring and AI-Driven Crop Optimization

IoT-Based Greenhouse Environment Monitoring and AI-Driven Cr...

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Computational Intelligence Approaches and Applications (ICCIAA), International conference on

作者： Anas Al-Amlih Dania Shehadeh Salam Al-E'mari Mohammad Abu Sakha Information Security Department Faculty of Information Technology University of Petra (UoP) Amman Jordan Data Science & Artificial Intelligence Department Faculty of Information Technology University of Petra (UoP) Amman Jordan

ISBN: (数字)9798331523657

ISBN: (纸本)9798331523664

GreenTech is a mobile application for IoT-based greenhouse management that integrates Artificial Intelligence (AI) and renewable energy to address challenges in modern agriculture. This project aims to optimize environmental control and crop growth in plastic greenhouses through real-time data analysis and automation. The system employs advanced sensors to monitor critical parameters, including temperature, humidity, and soil moisture, while AI algorithms provide actionable recommendations and automate climate adjustments. Users can remotely track greenhouse conditions and make data-driven decisions, resulting in improved resource efficiency and enhanced crop yields. Future research will focus on cost reduction, adaptive AI features, and expanded system functionalities to facilitate wider adoption in agricultural practices.

关键词： Temperature sensors Temperature measurement Renewable energy sources Green products Soil moisture Agriculture sensor systems Real-time systems Artificial intelligence Monitoring

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Computer aided testing of materials through interfacing device

Computer aided testing of materials through interfacing devi...

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International conference on Advances in Materials Research (ICAMR)

作者： Asha, P. Prabakar, D. Anand, Sruthi Karthik, M. Sujin, J. S. Kumar, R. Ramesh Sathyabama Inst Sci & Technol Dept Comp Sci & Engn Chennai Tamil Nadu India SNS Coll Technol Dept Comp Sci & Engn Coimbatore Tamil Nadu India Sri Krishna Coll Engn & Technol Dept Informat Technol Coimbatore Tamil Nadu India Kongu Engn Coll Sch Elect Sci Dept Elect & Elect Engn Erode Tamil Nadu India Sri Krishna Coll Technol Dept Elect & Commun Engn Coimbatore Tamil Nadu India Sri Krishna Coll Technol Dept Informat Technol Coimbatore Tamil Nadu India

The computer aided material testing is playing an essential role in manufacturing industries to enhance the quality of the products. In recent years, the conventional machines are converted in to computer based control. The present paper was discussed about the material testing equipments have been updated with data acquisition and computer control system. The sensors and actuators were interfaced with computer control system. It was used to test the advanced material with high accuracy. The experimental purpose, aluminium and steel were used as testing materials. Tensile test and impact test were conducted. The experimental results were compared with or without interface system. The improved results were also discussed with pareto chart. (c) 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International conference on Advances in Materials Research-2019.

关键词： Computer aided material testing Data acquisition Computer control system Tensile test Rated current interface system

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Smart Forest Rover: Integrating sensors, Cameras, and GPS for Environmental Monitoring

Smart Forest Rover: Integrating Sensors, Cameras, and GPS fo...

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IEEE International conference on Intelligent Techniques in control, Optimization and Signal Processing (INCOS)

作者： B. Pradeepraja V. Rajesh N. Viswa Teja S. Vinil K. Sree Ram Sk. Sabeer Basha Department of Electronics and Communication Engineering Kalasalingam Academy of Research and Education Krishnankovil Tamil Nadu India

ISBN: (数字)9798350361186

ISBN: (纸本)9798350361193

This project introduces a significant enhancement to the Rocker-Bogie system. By integrating advanced sensors, including day and night vision cameras, temperature and humidity sensors, and GPS technology, our innovative “Smart Forest Rover” enables real-time data collection and analysis. This breakthrough promises to revolutionise forest conservation and research efforts by providing comprehensive, timely insights into these vital ecosystems. The Smart Forest Rover serves as a testament the power of technology in fostering a deeper understanding of our natural world and underscores its pivotal role in promoting sustainable conservation practices for the benefit of present and future generations.

关键词： Wireless communication Temperature sensors Wireless sensor networks Microcontrollers Forestry Cameras Internet of Things

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Designing an Automated Smart Green House and controlling Based on IOT-Enabled Intelligent Decision Support system

Designing an Automated Smart Green House and Controlling Bas...

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Advances in Computation, Communication and Information Technology (ICAICCIT), International conference on

作者： M Thomas K Vinayagam S Esakkiammal S Subramanian M Kavitha A Ganesa Murthy Department of Chemistry St Mother Theresa Engineering College Thoothukudi India Department of Management Studies Vels Institute of Science Technology and Advanced Studies (VISTAS) Chennai India Institute of Management Nirma University Gandhinagar India Department of Marritine Commerce Academy of Maritime Education and Training (AMET) Chennai India Department of Commerce Vels Institute of Science Technology and Advanced Studies (VISTAS) Chennai India Department of Library Science Vels Institute of Science Technology and Advanced Studies (VISTAS) Chennai India

ISBN: (数字)9798331541217

ISBN: (纸本)9798331541224

In the agricultural field, optimization of land area and manpower is the challenging task of all farmers. The cost and time to spend for creating the farming with all necessary natural resources are not done properly due to their lacking knowledge and communication in the agriculture field. Problem Statement: Most of the farmers are followed the traditional agricultural methods to do crop cultivation and only a few of them are using the latest techniques. IoT is the framework used to provide automated control over agricultural land and monitoring using sensors on the plants. Perhaps, sensors are generated whole plant data then sent to the centralized controller for analytics to make decision making by the farmers. It takes a long time while plant growth is affected in the case of short-term plant cultivation. Methodology: To overcome this issue Smart Green House concept is introduced in the agriculture field for the improvement of plant growth within a stipulated time. It is possible to enhance the quality of the system with an IoT-enabled framework and controlled by a Smart Green House Intelligence Decision Support system (SGHIDSS). The system is working with several sensors placed on a greenhouse in various places and takes the decisions of actions like water supply, nutrition level automatically. All the sensors and control systems are working in an automated environment which leads the greenhouse technique to get successful for small farmers. Findings: This research work provides the framework or model for small-scale farmers and individuals to implement the smart greenhouse in their areas easily. Also, it provides less manpower and a small amount of natural resources for developing agriculture.

关键词： Decision support systems Natural resources Plants (biology) Green products Agriculture sensor systems Software Servers Intelligent sensors Farming

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Gas Discrimination & Quantification using sensor Array with 3D Convolution Regression Dual Network 11

Gas Discrimination & Quantification using Sensor Array with ...

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11th IEEE International conference on Intelligent Data Acquisition and advanced Computing systems - Technology and Applications (IDAACS)

作者： Pareek, Vishakha Chaudhury, Santanu Singh, Sanjay CSIR Cent Elect Engn Res Inst Pilani 333031 Rajasthan India Acad Sci & Innovat Res AcSIR Ghaziabad 201002 India Indian Inst Technol Delhi Delhi 110016 India

ISBN: (纸本)9781665426053

Smart sensor system design requires intelligent data processing, which analyzes raw time-series sensor data to efficiently and precisely discriminate and quantify target gases. The work presented here utilizes the response of twin gas sensor arrays for gases such as ethanol, ethylene, methane, and carbon monoxide to discriminate and quantify the target gases. We propose a 3D convolution neural-based regression dual network (3D-CNRDN) for both gas quantification and discrimination. The spatiotemporal correlation of sensor array responses inspired us to design the deep neural network for the gas concentration estimation model. The sensor array set is spatially correlated, and all the twin array responses are temporally related. 3D-CNRDN uses raw time-series gas sensor array data. The data is fed to the network as the 3D pattern, which contains 2D spatial information varying with third dimension time to recognize patterns that eventually predict the concentration. The model evaluation shows that the proposed methods are an effective technique for gas quantification and identification with RMSE = 0.3179 and classification accuracy 94.37%. Furthermore, the proposed method outperforms and provides higher discrimination accuracy and lower RMSE than other machine learning and deep learning methods.

关键词： 3DCNN Gas sensor sensor Array Quantification

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Design and Analysis of SLAM-based Autonomous Navigation of Mobile Robot

Design and Analysis of SLAM-based Autonomous Navigation of M...

引用

International conference on advanced Computer control, ICACC

作者： Deepa T R Jose Mathew Sarah Jacob Department of Electronics and Communication College of Engineering Chengannur Kerala India APJ Abdul Kalam Technological University Trivandrum Kerala India Department of Mechanical College of Engineering Kerala India Department of Electronics and Communication College of Engineering Kerala India

ISBN: (数字)9798350379136

ISBN: (纸本)9798350379143

This work, investigated an autonomous mobile robot simultaneous localization and mapping (SLAM) using the Extended Kalman Filter (EKF) in an indoor environment. All of the experiments were run using the Robot Operating system (ROS). In the actual trials, the 2D laser scan matching data was acquired using the Rplidar A1 single-line lidar, and the indoor map was created using the open-source Gmapping and Hector SLAM algorithms, which may obtain the indoor maps in the ROS graphical tool Rviz. An autonomous mobile robot for simultaneous localization and mapping is possible and high-precision maps may be created, according to the experimental results of the two open-source algorithms with and without sensor fusion analyzed.

关键词： Simultaneous localization and mapping Operating systems Software algorithms sensor fusion Writing Time measurement Software Mobile robots Kalman filters Autonomous robots

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An IoT Based Greenhouse Remote Monitoring system for Automation of Supervision for Optimal Plant Growth

An IoT Based Greenhouse Remote Monitoring System for Automat...

引用

International conference on advanced Computing and Communication systems (ICACCS)

作者： M. Pradeep Dhruva R Rinku P. Swapna V. Jyothi A. Athiraja G. Prasannakumar Department of ECE Shri Vishnu Engineering College for Women Bhimavaram Andhrapradesh India Department of ECE CVR College of Engineering Hyderabad Telangana State India Deprtment of IT MalIa Reddy Engg. College Secunderabad Telanagana State India Department of ECE Vardhaman college of Engineering Hyderabad Telangana State India Department of CSE Malla Reddy College of Engg. Secunderabad Telanagana State India Department of ECE Malla Reddy Engg. College Secunderabad Telanagana State India

ISBN: (数字)9798350384369

ISBN: (纸本)9798350384376

A greenhouse regulates both indoor and outdoor characteristics to create a controlled environment that fosters ideal circumstances for plant development. This research presents a comprehensive remote monitoring system for greenhouses that is intended to identify and control important environmental factors. The system uses a variety of sensors to measure air pressure, soil moisture, pH, temperature, humidity, light, and carbon dioxide levels indoors. Rainfall and other outdoor factors, such as wind direction and speed, are also tracked. sensors such as the DHT11 for temperature and humidity, the LM393 for light, the MG811 for carbon dioxide, the LM293 for soil moisture, the ES-PH-NOI-TR-l for soil pH, the IC-RK120-03 for wind speed and direction, and the ACS72981 for precipitation are all used by the greenhouse remote monitoring system. At predetermined places, these sensors continuously assess particular environmental parameters. They then use machine learning algorithms to send measurement data to the control platform. The system sends a signal to the controller of the associated sensor when it detects a change in value. This enables prompt modifications to be made using terminal valves (such as water valves, heating, droppers, and spray irrigation). Applications in agriculture, horticulture, and animal husbandry make use of the Internet of Things (IoT)-enabled greenhouse remote monitoring system, which offers vital information and makes real-time modifications for the proper growth of ecological crops possible. The system ensures scientific monitoring and management while automating supervision. Based on parameters like accuracy, sensitivity, specificity, fl-score, recall, and precision in relation to current techniques, a performance analysis of the suggested system is carried out. The goal of this research is to further greenhouse technology by providing a dependable and effective method for managing and cultivating plants in controlled conditions.

关键词： Temperature sensors Temperature measurement Soil measurements Wind speed Green products Soil moisture Humidity sensor systems Internet of Things Remote monitoring

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Smart Monitoring and control of Hydroponic systems Using IoT Solutions

Smart Monitoring and Control of Hydroponic Systems Using IoT...

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International conference on Inventive Computing and Informatics (ICICI)

作者： Tahmina Akter Tanjim Mahmud Rishita Chakma Nippon Datta Mohammad Shahadat Hossain Karl Andersson Dept. of CSE Port City International University Chittagong Bangladesh Dept. of Computer Science and Engineering Rangamati Science and Technology University Rangamati Bangladesh Dept. of CSE Rangamati Science and Technology University Rangamati Bangladesh Dept. of Computer Science and Engineering Chittagong University of Engineering & Technology Chittagong Bangladesh Dept. of Computer Science and Engineering University of Chittagong Chittagong Bangladesh Cybersecurity Laboratory Luleå University of Technology Luleå Sweden

ISBN: (数字)9798350373295

ISBN: (纸本)9798350373301

Hydroponics, a method of growing plants without soil, offers a viable solution for agricultural production in areas with limited space or adverse soil conditions. This soil-less cultivation method circumvents the lengthy decomposition process associated with traditional soil-based agriculture, reducing the risk of disease and the associated costs. This study introduces a sophisticated Internet of Things (IoT) framework designed to optimize the monitoring and management of hydroponic systems. The core of this system is a suite of multimodal sensors that continuously measure critical environmental and nutritional parameters such as temperature, humidity, nutrient levels, pH, and water levels. These sensors are integrated with a microcontroller that collects and transmits data to a cloud-based platform for storage and further analysis. Furthermore, an interactive website allows users to access this data remotely and adjust the system settings based on real-time information. The system also incorporates an automated control mechanism that adjusts the environment of the hydroponic system based on sensor inputs and predefined algorithms, ensuring optimal plant growth conditions. By providing a comprehensive and adaptive approach to hydroponic management, this IoT-based system enhances the efficiency and effectiveness of hydroponic farming, making it adaptable to various setups and scalable for different operational sizes. This study demonstrates the potential of integrating advanced technologies like IoT into agricultural practices to enhance productivity and sustainability.

关键词： Temperature measurement Temperature sensors Soil measurements Hydroponics Soil sensor systems Real-time systems

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Design of Drowning Rescue Alert system

Design of Drowning Rescue Alert System

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International conference on Inventive systems and control (ICISC)

作者： Minal Ghute Tejswini Katole Ayush Hadge Abhilasha Walke Gargi Gabhane dept. of Electronics and Telecommunication Engg Yeshwantrao Chavan College of Engineering Nagpur India

ISBN: (数字)9798350386578

ISBN: (纸本)9798350386585

Drowning is a critical worldwide general wellbeing concern with thousands of lives lost annually due to water-related accidents. Despite efforts to promote water safety, the lack of an effective and widely accessible anti-drowning system remains a critical issue. This paper presents a comprehensive overview of anti-drowning measures and explores the critical role of educational programs in imparting water safety skills, particularly among vulnerable population such as children and non-swimmers. The proposed system uses sensors like SPO2 and MPU-6050 to comprehensively monitor and detect drowning incidents by analyzing oxygen saturation levels and underwater movements. This study enhances the capability to accurately determine and display the depth at which swimmer is located, aiding rescuers in assessing the severity of the drowning situation and planning targeted rescue strategies. Power supply optimization is a key challenge addressed in research, with a focus on energy-efficient designs and advanced battery technologies to ensure sustained operation in aquatic environments. The implemented system gives clear and real-time display of drowning parameters on both the receiver’s LCD and mobile devices to enhance communication and coordination, ensuring effective monitoring and response to potential drowning incidents.

关键词： Transmitters Power supplies Receivers sensor systems Liquid crystal displays Safety sensors

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