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检索条件"任意字段=International Conference on Sensor Technologies and Applications, SensorComm"

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Different Communication technologies and Challenges for implementing Under Water sensor Network 12

Different Communication Technologies and Challenges for impl...

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12th international conference on Computing Communication and Networking technologies, ICCCNT 2021

作者： Mittal, Sonam Ramkumar, K.R. Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9781728185958

sensor technology has grown to a large extent in the last few years, and sensors have been used in many applications that are getting deployed in various mediums such as terrestrial, underwater and underground, etc. The latest advancements in the communication field have expanded the scope for collecting information using different parameters. Due to the immense measure of unexplored areas in the sea condition, underwater sensor technology is emerging as a new and vast area for research. The primary driver of this paper is to determine the basic state of knowledge to understand wireless sensor networks, their different types, and then focus on Underwater sensor Network (UWSN), along with its working, and its different types of signals used for communication and different challenges that can be faced while working with various types of communication used in underwater. © 2021 IEEE.

关键词： Wireless sensor networks

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Micro-Scale Modular CMOS Readout Electronics for Multi-Modal sensor Arrays

Micro-Scale Modular CMOS Readout Electronics for Multi-Modal...

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IEEE international conference on Nano/Micro Engineered and Molecular Systems (NEMS)

作者： Roman Willaredt Daniel De Dorigo Christoph Grandauer Daniel Wendler Dhivya Manharan Stephan Knappmann Helmut Schottmann Alfons Dehé Matthias Kuhl Department of Microsystems Engineering - IMTEK Laboratory for Microelectronics University of Freiburg Germany Hahn-Schickard Villingen-Schwenningen Germany Georg H. Endress Chair for Smart Systems Integration IMTEK University of Freiburg Germany

ISBN: (数字)9798350359831

ISBN: (纸本)9798350359848

This paper presents a modular readout approach utilizing delta-sigma modulation for sensing applications. Unlike traditional signal chains, which involve oversized components leading to increased power consumption, this approach integrates or connects the sensor directly to the input stage of an ADC. The inherent anti-aliasing characteristic of continuous-time delta-sigma modulators allows sensor signals to be digitized directly, eliminating the need for additional filters reducing system complexity. The method is versatile and applicable to various sensors such as bioelectric electrodes or CMOS stress sensors. This concept enables micro-scale ADC integration on a minimal silicon area, particularly advantageous for needle-shaped neural probes where the electrodes are deposited on the CMOS substrate using MEMS technologies. On-site digitization streamlines external wiring, crucial for large sensor arrays. Ongoing research focuses on flexible substrates for fully integrated micro-scale ADCs, offering a versatile, modular and customizable approach for specific applications.

关键词： Electrodes Wiring Neuroscience Transducers Multimodal sensors Chiplets Delta-sigma modulation

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Design and Development of sensor Data Handling Controller for Modern Robotics

Design and Development of Sensor Data Handling Controller fo...

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international conference on Circuit, Power and Computing technologies (ICCPCT)

作者： Rajesh Kannan Megalingam Sakthiprasad Kuttankulungara Manoharan Abhishek Premlal Saju Department Of Electronics and Communication Humanitarian Technology (HuT) Labs Amrita Vishwa Vidyapeetham India

ISBN: (数字)9798350372816

ISBN: (纸本)9798350372823

This paper presents the design and development of a sensor controller, focusing on efficient data handling for integrated sensors utilized in robotic applications. In this study, we describe an extensive analysis of data collected with various sensors using multiple communication interfaces, such as USB Serial, I2C, and UART, which are used to transmit control commands and sensor data. A Teensy 4.1 microcontroller serves as the sensor controller in this system, enabling communication between the sensor controller and the system master controller. The study provides comprehensive environmental perception and control in robotics with the integration of ultrasonic sensors, current sensors, IMU, and hall sensors. To guarantee dependable sensor data acquisition and system functionality, the testing approach evaluates both manual and protocol-based communication for each sensor. This work demonstrates the simultaneous data reception made possible by the integration of several sensors with different protocols into a single microcontroller. The process of evaluating accuracy required contrasting human measurements with protocol-based communication for a range of sensors, including IMUs (orientation detection), current sensors (current flow measurement), and ultrasonic sensors (distance measurement). The integrated sensor system was put to the test using a variety of measuring techniques, including software-based and manual protocols, as part of the validation process. The precision of individual sensors is demonstrated by the results, which validate the correctness of the data acquired. The results of the experiment provide a detailed comparison between data provided by software and manual measurements, confirming the dependability and efficiency of the integrated sensor system. From the experiment results it is clear that the accuracy of the system is above 90%.

关键词： Protocols Ultrasonic variables measurement Microcontrollers Robot kinematics Data handling Current measurement Manuals

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applications Of Wireless sensor Networks in Biomedical Research and Healthcare

Applications Of Wireless Sensor Networks in Biomedical Resea...

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Control & Automation, Electronics, Robotics, Internet of Things, and Artificial Intelligence (CERIA), IEEE international conference on

作者： Abhilasha Dhanraj Bilal Ahmad Attar Soumil Sharma Ujwala Kshirsagar Electronics and Tele-communication Symbiosis Institute of Technology Symbiosis International Pune India

ISBN: (数字)9798331511166

ISBN: (纸本)9798331511173

The introduction of Wireless sensor Networks (WSNs) has sparked a transformative shift in healthcare, offering answers for real-time affected person monitoring, chronic disorder management, and emergency response. By utilising a community of small, low-electricity sensors, WSNs can reveal physiological parameters and provide continuous remarks, enabling early interventions and improving the high-quality of existence for patients. This paper delves into the applications of WSNs in healthcare, that specialize in Body Area Networks (BANs) and electricity-conscious routing, which decorate the performance of WSN structures. We advocate a methodology for integrating WSNs into current healthcare frameworks, supported via power-green routing algorithms. Through simulations, we reveal the impact of WSNs on patient results, underscoring the capacity of those technology to revolutionize healthcare transport. The paper additionally addresses demanding situations which in- cludes records security, community reliability, and power intake, supplying solutions for his or her mitigation. Our consequences imply great enhancements in information accuracy and gadget performance, laying the basis for destiny studies in power-efficient healthcare technologies.

关键词： Wireless communication Wireless sensor networks Accuracy Tracking Scalability Medical services Routing Body area networks Real-time systems Medical diagnostic imaging

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Wireless Measurement Station Using Arduino

Wireless Measurement Station Using Arduino

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National conference with international Participation (TELECOM)

作者： Marin Dochev Ivo Dochev Lilyana Docheva Stoycho Manev Optical communication systems Vocational high school of telecommunications Sofia Bulgaria Departament of Radio Communications and Video Technologies Technical University of Sofia Sofia Bulgaria

ISBN: (数字)9798350355000

ISBN: (纸本)9798350355017

This project implements a real-time environmental monitoring system using an Arduino and various sensors to track temperature and humidity data and print the real time. The system integrates a DHT11 sensor for measurements, a DS3231 real-time clock (RTC) for time-stamping data, and an Ethernet shield for network communication. The collected sensor data is displayed on a dynamically updated web page hosted on the Arduino, accessible via a local IP address. The web interface presents live temperature and humidity readings, along with historical data visualized in a line chart. This system is designed to handle multiple client connections and can be utilized in applications such as home automation, industrial monitoring, or educational purposes.

关键词： Temperature measurement Temperature sensors Temperature distribution Humidity measurement Data visualization Web pages Humidity Real-time systems sensor systems sensors

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A Review for Investigation on soil features using IoT and ML 4

A Review for Investigation on soil features using IoT and ML

引用

4th international conference on Smart Systems and Inventive Technology, ICSSIT 2022

作者： Yadav, Ravindra Seth, Anita Department of Information Technology IET DAVV Indore India Department of Electronics and Telecommunication IET DAVV Indore India

ISBN: (纸本)9781665401180

The Internet of Things (IoT) is a suite of connected devices that collect and share information. On the other side, machine learning (ML) facilitates learning. The combination of IoT and ML can open new opportunities for developing innovative and essential applications to support different complex and large applications. That offers monitoring and automation involved in agricultural activities. In this paper, the recent contributions based on IoT and ML in the agriculture sector is explored. In this context, a review of existing work has been provided. Then the area of work, employment type, and involved technologies have been discussed. Based on this investigative study the key objectives have been highlighted for design and development, which will help to empower the farmers by improving crop production yield and resource management. In addition, a proposal based on IoT and ML technology has been also provided for future development. The aim of this proposal is to suggest and develop an automated system, which becomes a helping hand towards the farmers. As opposed to traditional farming where the same crop is grown on the same field year after year, the precise results provided by the machine learning algorithm sense leads to better results and different crops can be grown on the same field because there are different information such as nitrogen level, ph level, and moisture level. © 2022 IEEE

关键词： sensor networks

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Efficient Human Activity Recognition through Multi-sensor Data and Deep Learning Techniques

Efficient Human Activity Recognition through Multi-Sensor Da...

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Advanced Computing technologies (ICoACT), international conference on

作者： Rhenius A Anitha J Immanuel Alex Pandian S CSE KITS Coimbatore India

ISBN: (数字)9798331509859

ISBN: (纸本)9798331509866

Extensive research takes place in the field of Human Activity Recognition (HAR) systems with wearable computing that helps in healthcare applications, fitness tracking and smart environments. sensor technology advances have propelled Human Activity Recognition systems to utilize innovative machine learning methods for accurate and robust activity classification. This work evaluates the effectiveness of four cutting-edge deep learning models-Temporal Convolutional Networks (TCN), Long Short-Term Memory (LSTM), Recurrent Neural Networks (RNN) and Gated Recurrent Units (GRU)-through their implementation on publicly accessible accelerometer and gyroscope HAR datasets. These classification models underwent testing through different activation functions namely ReLU, Leaky ReLU, and Swish to assess their practicality for classification operations. Standard evaluation metrics including accuracy, precision, recall, ROC-AUC and F1-score demonstrate the best features of each implemented model while providing descriptive visual representations. TCN delivered 98.59% accuracy and exhibited superior training speed efficiency thus establishing itself as the suitable AI algorithm for real-time implementation. This research offers an extensive breakdown for choosing optimal models in real-time HAR systems which supports advances in wearable computing and activity recognition technologies.

关键词： Deep learning Training Visualization Accuracy Computational modeling Real-time systems Human activity recognition Convolutional neural networks Wearable devices Long short term memory

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IoT-Based Water Quality Monitoring and Detection System 1

引用

2nd international conference on Emerging Trends in Expert applications and Security, ICETEAS 2023

作者： Kanchana, M. Gopirajan, P.V. Sureshkumar, K. Sudharsanan, R. Suganthi, N. Department of Computing Technologies School of Computing SRM Institute of Science and Technology Kattankulathur Chennai603203 India Department of Computational Intelligence School of Computing SRM Institute of Science and Technology Kattankulathur Campus Chennai603203 India Department of Information Technology Saveetha Engineering College Chennai602105 India Department of Information Technology SRM Institute of Science and Technology Ramapuram Chennai600089 India Department of Computer Science and Engineering SRM Institute of Science and Technology Ramapuram Chennai600089 India

ISBN: (数字)9789819919093

ISBN: (纸本)9789819919086

This paper suggests Internet of things (IoT) and Arduino-based tele-water quality monitoring systems integrated with the web application. The most critical component of the Wireless sensor Network includes a microcontroller for processing the circuit's sensor data, a communication system between and within node communication, and a few other sensors such as pH, Microbial Fuel Cell (MFC), humidity, and temperature. All data is collected at the Arduino (data which is sensed by the sensors) by using remote monitoring and Internet of things technology (ESP8622MOD). The real-time data is transmitted, and that data is displayed by sending through the cloud in a human interface format on a server device (pc/mobile) by the web or mobile applications. The main objective is to get a water monitoring system with high mobility (the ability to check water more freely, the ability to check wherever required), high frequency, and low power (as it is compatible, we can take and check quickly). Therefore, our main objective is that our system will immensely help people with small water reservoirs, water mines, and villagers/ framers with fields to become conscious/aware of polluted water and stop contaminating the water. The deciding parameters of water, whether toxic or drinkable, are decided by the potential level of hydrogen value. If the hydrogen value is less than five, it is acidic, and if the hydrogen value is above 7.5, then it is primary. The MFC sensor, if the analogy sensor, senses any electricity from the cathode and anode ends (0–200 indicates acidic water, 200–300 is normal water, and above 300 is essential to water);by this water, we decide whether water toxic in nature and temperature and humidity also plays a role in determining the quality, it can result in an effect on the level of O2. Also, the capacity of organisms to resist certain pollutants, so different conditions should have different water temperatures. © 2023, The Author(s), under exclusive license to Spr

关键词： Internet of things

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Digital Twins of Unmanned Aerial Vehicle Telemetry sensors

Digital Twins of Unmanned Aerial Vehicle Telemetry Sensors

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international conference on Industrial Engineering, applications and Manufacturing (ICIEAM)

作者： O. G. Shishkin V. M. Khachumov A.K.Aylamazyan Institute of Software Systems of the Russian Academy of Sciences s. Veskovo Moscow Russia Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences s. Veskovo Moscow Russia MIREA - Russian Technological University The Ministry of Education and Science Russia RUDN University s. Veskovo Moscow Russia

ISBN: (数字)9798331512194

ISBN: (纸本)9798331512200

In the era of the fourth industrial revolution, companies strive to optimize their operations by integrating advanced information technologies, which are rapidly growing in popularity. The use of these technologies enables organizations to improve the efficiency of production and administrative operations. A digital twin, which is a virtual copy of a physical object, helps high-tech enterprises move to a qualitatively new level of technological development and strengthen their competitive position in the market. Data analysis shows that due to the dynamic development of information technology and the digitalization of the economy, the demand for digital twins will steadily increase in the future. The paper proposes a method for constructing digital twins of telemetry sensors of unmanned aerial vehicles for aerospace purposes, and describes the prospects for their application.

关键词： Sensitivity Process control Production Autonomous aerial vehicles sensor systems Digital twins sensors Telemetry Information technology Vehicle dynamics

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A New IoT Power-Limited Wireless sensor Networks Routing Protocol Utilizing Computational Intelligence

A New IoT Power-Limited Wireless Sensor Networks Routing Pro...

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international conference on Advanced Communication technologies and Networking (CommNet)

作者： Reem Riyad Elyyan Khalid A. Darabkh Department of Computer Engineering The University of Jordan Amman Jordan

Finding a cogent network architecture with efficient energy usage is essential given the rise of the Internet of Things (IoT), which poses a new barrier to the widespread use of IoT applications globally. This research investigates the suggested protocol in a novel simulation environment by dividing the network area into equal hexagonal cells and using the arithmetic optimization algorithm, a new meta-heuristic technique, to assist the cluster head assortment. The double mobile sinks are then deployed to travel along two constrained hexagonal itineraries in order to gather sensory data. Additionally, a cost-effective routing approach is suggested to prolong the lifespan of IoT sensor nodes. In the end, a comparison between the suggested protocol and the conventional techniques reveals a significant decrease in the average energy consumption of sensor nodes, hence extending the lifetime of the network. Particularly, as far as the mobility is concerned, the suggested protocol performs 372 times better than the energy-efficient geographic routing protocol and 669 times better than the rendezvous-based routing protocol in terms of the first node to die.

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