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2022 IEEE International Conference on Advances in Computing, Communication and Applied Informatics, ACCAI 2022

作者： Nirmala, P.N. Thandaiahprabu, R. Vijayakumari, P. Chanthirasekaran, K. Jayamani, K. Saveetha School of Engineering SIMATS Department of Electronics and Communication Engineering Chennai India Rajalakshmi Institute of Technology Department of Electronics and Communication Engineering Chennai India

ISBN: (纸本)9781665495295

Medical files and domestic appliances may be monitored via a android mobile application and information can be stored on a server using the Internet of Things and efficient cryptography. sensor-based intelligent monitoring systems have grown more popular in a wide range of industries, including healthcare, entertainment and security. To provide a safe and healthy living environment, they can provide accurate and trustworthy information on people's activities and behaviours. As personal computers did a generation ago, smart sensors might change our daily routines, social interactions, and activities. Healthcare expenditures are rising at an alarming rate due to an increasing global population and an ageing society. The healthcare system is undergoing a transition that makes it feasible to continuously monitor patients even if they are not hospitalized. It is possible to use advanced sensors to identify abnormal or unexpected events by monitoring physiological data together with other symptoms. As a result, urgent assistance may be supplied in times of crisis The advancement of intelligent sensor-based technologies is providing enormous prospects to improve individualized healthcare. Versatile devices, intelligent substances and reduced power processing and communication have decreased obstacles to technological accessibility, integration, and affordability, opening the door to a more widespread monitoring system. UART protocols may be monitored and controlled with this Android-based application. The user may utilize their mobile application to turn on or turn off the electrical equipment according to their preferences. sensors and Internet of Things based technologies are used to track the human body's motions and current health status. These facts will be encrypted and saved in the Cloud Server, which means that anybody may read and monitor the health records of a patient from anywhere in the world, as well as operate the household electronic gadgets using their And

关键词： Internet of things

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Self-Sustaining Fish Tank System Using Arduino Uno

Self-Sustaining Fish Tank System Using Arduino Uno

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International Conference on Control and Robots (ICCR)

作者： Bernard C. Fabro Minerva C. Zoleta Jose C. Felipe Ador G. Utulo Kaye Angela Parillas Computer Engineering Eulogio “Amang” Rodriguez Institute of Science and Technology Nagtahan Sampaloc Manila

ISBN: (数字)9798331518158

ISBN: (纸本)9798331518165

In the field of aquaculture, numerous studies indicate that traditional fishkeeping faces significant challenges due to the manual maintenance required, leading to inefficiencies such as inconsistent cleaning, feeding, and water quality management, that can be improved by integrating automation and smart technologies. This experimental research, conducted in Metro Manila, Philippines, aims to test and refine the Self-sustaining Fish Tank System. By evaluating the accuracy and effectiveness of integrated sensors and automated components, the study seeks to enhance the system's performance in maintaining optimal aquatic conditions. An experimental research approach was employed, utilizing multiple methods including observation for data collection. Quantitative data analysis using descriptive and paired two-test statistical tools assessed the performance of the Self-sustaining Fish Tank System using Arduino Uno. The study's findings highlighted significant improvements in sensor reliability and consistency during operational tests with and without fish. Specifically, the water level sensor demonstrated enhanced responsiveness during pump activations, while the pH sensor stabilized effectively with fish present. The fish feeder consistently dispensed food every 12 hours, ensuring reliable feeding throughout the study periods. The study concludes that variations in sensor performance, particularly in pH and turbidity measurements, highlight the need for continued refinement to ensure consistent control across different environmental conditions. Future research should explore advanced sensor integration for improved accuracy and reliability, especially for critical parameters like water quality. Additionally, the adoption of IoT-based solutions with wireless modules is recommended for enhanced real-time monitoring and remote control via mobile apps or web interfaces.

关键词： Temperature sensors Wireless communication Temperature measurement Schedules Accuracy Turbidity Fish sensor systems Reliability Intelligent sensors

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integration and Calibration of Multi-Array sensors for Biomass Estimation in Pasture Land for Sustainable Grazing

Integration and Calibration of Multi-Array Sensors for Bioma...

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International Conference on Computer, Information and Telecommunication Systems (CITS)

作者： Rashmi Priya Sharma Robert Kallenbach Stacey Hamilton Division of Plant Science and Technology University of Missouri Columbia MO USA Division of Animal Sciences University of Missouri Columbia MO USA

ISBN: (数字)9798350359091

ISBN: (纸本)9798350359107

Accurate measurement of pasture biomass is important for sustainable management of pasture land. Traditional methods like destructive harvesting are labor-intensive and time-consuming. The recent advances in non-destructive techniques using proximal sensors present significant potential to expedite biomass estimation. Despite recent advancements, there is still a need for an integrated and automated system for comprehensive and realtime biomass estimation. The proposed study presents a novel approach where we integrate various proximal sensors, including ultrasonic, radar, VCSEL, and LiDAR technologies, along with IMU and high-precision GPS for accurate geolocation. Then, we mounted this suite of proximal sensors on the terrain vehicle. Calibration in Lab setup and field validation confirmed the system's potential to improve pasture management by enabling precise and efficient monitoring of the grazing land.

关键词： Accuracy Estimation sensor systems sensors Biomass Calibration Telecommunications

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ConnecSenS, a Versatile IoT Platform for Environment Monitoring: Bring Water to Cloud

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sensors 2023年第6期23卷 2896-2896页

作者： Moiroux-Arvis, Laure Royer, Laurent Sarramia, David De Sousa, Gil Claude, Alexandre Latour, Delphine Roussel, Erwan Voldoire, Olivier Chardon, Patrick Vandaele, Richard Ameglio, Thierry Chanet, Jean-Pierre Univ Clermont Auvergne INRAE UR TSCF F-63178 Aubiere France Univ Clermont Auvergne Lab Phys Clermont CNRS IN2P3 F-63000 Clermont Ferrand France Univ Clermont Auvergne CNRS Lab Microorganismes Genome Environm LMGE UMR 6023 Clermont Ferrand France Univ Clermont Auvergne CNRS GEOLAB F-63145 Clermont Ferrand France Univ Clermont Auvergne INRAE PIAF F-63000 Clermont Ferrand France

Climate change is having an increasingly rapid impact on ecosystems and particularly on the issue of water resources. The Internet of Things and communication technologies have now reached a level of maturity that allows sensors to be deployed more easily on sites to monitor them. The communicating node based on LoRaWAN technology presented in this article is open and allows the interfacing of numerous sensors for designing long-term environmental monitoring systems of isolated sites. The data integration in the cloud is ensured by a workflow driving the storage and indexing of data, allowing a simple and efficient use of the data for different users (scientists, administration, citizens) through specific dashboards and extractions. This article presents this infrastructure through environmental monitoring use cases related to water resources.

关键词： IoT water environmental monitoring wireless sensor network data integration cloud data stream LoRaWAN

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Robust Tightly Coupled Pose Measurement Based on Multi-sensor Fusion in Mobile Robot System

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sensors 2021年第16期21卷 5522-5522页

作者： Peng, Gang Lu, Zezao Peng, Jiaxi He, Dingxin Li, Xinde Hu, Bin Minist Educ Key Lab Image Proc & Intelligent Control Wuhan 430070 Peoples R China Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan 430070 Peoples R China Southeast Univ Sch Automat Nanjing 210096 Peoples R China Shantui Construct Machinery Co Ltd Jining 272000 Peoples R China

Currently, simultaneous localization and mapping (SLAM) is one of the main research topics in the robotics field. Visual-inertia SLAM, which consists of a camera and an inertial measurement unit (IMU), can significantly improve robustness and enable scale weak-visibility, whereas monocular visual SLAM is scale-invisible. For ground mobile robots, the introduction of a wheel speed sensor can solve the scale weak-visibility problem and improve robustness under abnormal conditions. In this paper, a multi-sensor fusion SLAM algorithm using monocular vision, inertia, and wheel speed measurements is proposed. The sensor measurements are combined in a tightly coupled manner, and a nonlinear optimization method is used to maximize the posterior probability to solve the optimal state estimation. Loop detection and back-end optimization are added to help reduce or even eliminate the cumulative error of the estimated poses, thus ensuring global consistency of the trajectory and map. The outstanding contribution of this paper is that the wheel odometer pre-integration algorithm, which combines the chassis speed and IMU angular speed, can avoid the repeated integration caused by linearization point changes during iterative optimization;state initialization based on the wheel odometer and IMU enables a quick and reliable calculation of the initial state values required by the state estimator in both stationary and moving states. Comparative experiments were conducted in room-scale scenes, building scale scenes, and visual loss scenarios. The results showed that the proposed algorithm is highly accurate-2.2 m of cumulative error after moving 812 m (0.28%, loopback optimization disabled)-robust, and has an effective localization capability even in the event of sensor loss, including visual loss. The accuracy and robustness of the proposed method are superior to those of monocular visual inertia SLAM and traditional wheel odometers.

关键词： multi-sensor fusion robot pose measurement simultaneous localization and mapping visual inertia system

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Characterization of On-Foil sensors and Ultra-Thin Chips for HySiF integration

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IEEE sensors JOURNAL 2020年第14期20卷 7595-7604页

作者： Elsobky, Mourad Deuble, Thomas Ferwana, Saleh Albrecht, Bjorn Harendt, Christine Ottaviani, Alessandro Alomari, Mohammed Burghartz, Joachim N. Inst Mikroelekt Stuttgart IMS CHIPS D-70569 Stuttgart Germany

The characterization of multiple mechanically flexible passive and active electronic components, namely on-foil temperature sensor, relative humidity sensor, and ultra-thin microcontroller unit (MCU) integrated circuit (IC) is presented. These components are readily available for Hybrid System-in-Foil (HySiF) integration, which combines the merits of the high-performance silicon chips with the large-area electronics. The 60-nm thin-film resistance temperature detector (RTD) is fabricated on different substrates and the extracted temperature coefficient ranges from 0.002 to 0.003(Omega/Omega)/degrees C. Furthermore, the capacitive relative humidity sensor is fabricated by utilizing a polymeric sensing dielectric material that is compatible with those polyimides used in ultra-thin chip embedding. The 1-mu m thick sensor achieves a fast adsorption rise time of 54 ms and a spontaneous desorption fall time of 750 ms. For flexible ICs packaging and HySiF integration, microcontroller chips are back-thinned to a thickness of about 30 mu m. The characterization of the MCU after the thinning process step showed undegraded performance of the integrated analog-to-digital converter in terms of linearity. However, a drop in the on-chip temperature sensor sensitivity is observed for the thin chips and significant degradation in the period jitter of the high-frequency RC oscillator is measured. Finally, continuity tests are performed to validate the functionality of the ultra-thin MCUs when embedded using the Chip-Film Patch (CFP) flexible package.

关键词： Temperature sensors sensor phenomena and characterization Temperature measurement Substrates Resistance Flexible electronics flexible packaging hybrid system-in-foil humidity sensor microcontrollers system-on-package smart sensor systems temperature sensor ultra-thin chips

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Blynk-Powered IoT System with Machine Learning for Personalized Plant Care

Blynk-Powered IoT System with Machine Learning for Personali...

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International Conference on Inventive Systems and Control (ICISC)

作者： Madhavi Pappula Jaswanth Chowdary Myneni Manasa Gandra Raghavendra Tadigadapa Bala Krishna Murthy Akella AI&DS Lakireddy Balireddy College of Engineering Mylavaram AP India

ISBN: (数字)9798350386578

ISBN: (纸本)9798350386585

This research explores the development of a prototype Internet of Things (IoT)-enabled smart irrigation system and investigates its potential integration with machine learning (ML). The primary mechanism, constructed using Blynk, facilitates real-time sensor data monitoring (temperature, humidity, and moisture) and enables manual irrigation control via a mobile application. The secondary mechanism includes the integration of Machine Learning (ML) model, facilitating data-driven predictions for optimal watering schedules. This ML integrated IoT system has the potential to revolutionize irrigation practices, promoting water conservation and potentially enhancing plant health through precise watering based on real-time sensor data and historical trends.

关键词： Temperature sensors Temperature measurement Irrigation Accuracy Training data Machine learning Predictive models

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Strategic integration of IoT and AI: Optimizing Techno Management for Enhanced Organizational Efficiency

Strategic Integration of IoT and AI: Optimizing Techno Manag...

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Advances in Computer Science, Electrical, Electronics, and Communication Technologies (CE2CT), International Conference on

作者： Balasubramani Murugesan Department of Computer Application Urumu Dhanalakshmi College Tiruchirapalli India

ISBN: (数字)9798331518578

ISBN: (纸本)9798331518585

Building safety in factories, which are based on new technologies like machine learning (ML) and the Internet of Things (IoT), is becoming the next generation of safety methods. This study offers a novel framework for improving safety control on construction sites by combining machine learning to know models with IoT technology. Numerous sensors, such as as pressure, temperature, fireplace, vibration, and proximity sensors, are positioned strategically to show important safety characteristics in real time. To improve threat prediction skills, the study uses machine learning, notably RF, ANN, KNN, and LR. According to the results, ANN records 95.6%, KNN records 90.9%, LR records 87.45%, and RF achieves the best accuracy of 97.7%. Notably, RF performs better overall and shows that it can adapt its protection strategies to different building conditions. By combining real-time sensor data with cutting-edge machine learning techniques, the integrated method offers a strong safety net that proactively identifies and reduces risks, improving overall safety in building sites. In other words, a safe worksite fosters a more focused and productive working environment.

关键词： Temperature sensors Radio frequency Vibrations Buildings Machine learning Artificial neural networks Nearest neighbor methods Real-time systems sensor systems Safety

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sensor with combined plasmonic and magnetic activities

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Biosensors and Bioelectronics: X 2024年 19卷

作者： Sapkota, Raju Isik, Sadna Suyanto, Hery Rupiasih, Ni Nyoman Ingles, Nahara Rizal, Conrad The University of Victoria VictoriaBC Canada Seed NanoTech International Inc BramptonON Canada The University of Udayana Bali Denpasar Indonesia York University North YorkON Canada

sensors utilizing magneto-optical surface plasmon resonance are gaining increasing scientific and practical attention to detect atmospheric gases and humidity. The magneto-optic surface plasmon resonance wavelength is defined by the plasmonic structure's geometry and structure, making it immune to electromagnetic interference outside its resonance frequency range. The present study investigates their application for the detection of atmospheric gases including humidity. In contrast to conventional sensors, magneto-optic sensors exhibited excellent performance in terms of sensitivity (10 times greater), higher quality factor (up to 76 times higher) and design simplicity in terms of layer thickness optimization, integration, and robustness. These results suggest significant potential for utilization of magneto-optic sensors across multiple industries. © 2024

关键词： Magnetos

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integration of force and IMU sensors for developing low-cost portable gait measurement system in lower extremities

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SCIENTIFIC REPORTS 2023年第1期13卷 1-12页

作者： Manupibul, Udomporn Tanthuwapathom, Ratikanlaya Jarumethitanont, Wimonrat Kaimuk, Panya Limroongreungrat, Weerawat Charoensuk, Warakorn Mahidol Univ Fac Engn Dept Biomed Engn Phuttamonthon Nakhon Pathom Thailand Mahidol Univ Fac Phys Therapy Phuttamonthon Nakhon Pathom Thailand Mahidol Univ Coll Sports Sci & Technol Phuttamonthon Nakhon Pathom Thailand

Gait analysis is the method to accumulate walking data. It is useful in diagnosing diseases, follow-up of symptoms, and rehabilitation post-treatment. Several techniques have been developed to assess human gait. In the laboratory, gait parameters are analyzed by using a camera capture and a force plate. However, there are several limitations, such as high operating costs, the need for a laboratory and a specialist to operate the system, and long preparation time. This paper presents the development of a low-cost portable gait measurement system by using the integration of flexible force sensors and IMU sensors in outdoor applications for early detection of abnormal gait in daily living. The developed device is designed to measure ground reaction force, acceleration, angular velocity, and joint angles of the lower extremities. The commercialized device, including the motion capture system (Motive-OptiTrack) and force platform (MatScan), is used as the reference system to validate the performance of the developed system. The results of the system show that it has high accuracy in measuring gait parameters such as ground reaction force and joint angles in lower limbs. The developed device has a strong correlation coefficient compared with the commercialized system. The percent error of the motion sensor is below 8%, and the force sensor is lower than 3%. The low-cost portable device with a user interface was successfully developed to measure gait parameters for non-laboratory applications to support healthcare applications.

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