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4th International Conference on Pervasive Computing and Social Networking (ICPCSN)

作者： Sivaramakrishnan, S. Janga, Santosh Reddy Yuktha, S. Darshini, R. Monisha, R. New Horizon Coll Engn Informat Sci & Engn Bangalore Karnataka India

ISBN: (纸本)9798350386356;9798350386349

As everyone is aware, many dangerous gasses are emitted from automobiles and industry, which can lead to a range of health issues such as lung cancer, asthma, and a range of heart-related complications, or even lead to premature death if the ambient pollution is severe. The consequences of ambient pollution such as acid rain, global warming, and negative effects on agriculture and water quality, emphasize the vital need of ongoing air quality monitoring. As a result, a smart monitoring robot is required to check the air quality. This paper proposes the development of an Air Quality Monitoring Robot capable of efficiently monitoring real-time air conditions via the Thing Speak IoT website. The key components of the device include an arduino uno, Motor Driver, DC motors, MQ9 and MQ135 gas sensors (for the detection of gases like carbon dioxide, methane, hydrogen, etc.), temperature sensor, LCD display, and an ESP8266 Wi-Fi module. Additionally, an ultrasonic sensor is incorporated into the design. The planned system is created to provide a user-friendly mobile application and web-based interface. The monitoring results are accessible in real-time through a web application, which connects to a Wi-Fi network. The robot, equipped with these specified sensors and modules, plays a critical function in data collection and environmental monitoring. Additionally, machine learning algorithms are used to identify patterns in the data and predict changes in air quality, allowing users to take preventive actions before air quality deteriorates. Another area of future work could be to improve the user interface and data visualization of the system, making it more accessible and easier to use for non-experts. Overall, continued development and optimization of the system can help to increase its effectiveness and applicability in a variety of settings, from indoor air quality monitoring in homes and offices to outdoor pollution monitoring in urban environments.

关键词： air quality monitoring Iot Robot arduino uno MQ9 MQ135 ultra sonic sensor machine learning

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Sensorless microcontroller-based zero-crossing detection system for AC signals using a rounding function

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AIN SHAMS ENGINEERING JOURNAL 2024年第2期15卷

作者： Ali, Ahmed Desa, Mohd Khairunaz Mat Ooi, Chia Ai Al-Gailani, Samir A. Hafeez, Muhammad Abdullah, Mohamad Nazir Zaid, Mohammed Univ Sains Malaysia Engn Campus Sch Elect & Elect Engn Nibong Tebal Penang Malaysia AIMST Univ Fac Engn & Comp Technol Bedong Kedah Malaysia Univ Aden Fac Engn Dept Elect Engn Aden Yemen

Microcontroller-based methods for zero-crossing detection (ZCD) presented in the literature employ external integrated circuits (ICs) to sense electrical signals, and their algorithms are sophisticated. Therefore, this paper proposes a simple open-loop sensorless microcontroller-based algorithm for determining zero-crossing (ZC) instants of sinusoidal signals that can be used for phase detection (PD) in phase-locked loops (PLLs). The proposed algorithm employs a built-in rounding function in the arduino software environment. The developed system was simulated using MATLAB Simulink (R) to demonstrate its prominent features in recognizing zero-crossing points in two cases: a pure sine signal at a grid frequency of 50 Hz, and distorted signals with total harmonic distortions (THDs) of 10 %, 20 %, 30 %, and 40 %. In the simulation, the proposed system exhibited outstanding results in terms of simplicity, accuracy, and robustness. However, in practice, accuracy and robustness are relative terms, because they depend on the specifications of the microcontroller board. In this study, a low-cost microcontroller board, arduino uno, was used. The uno is an 8-bit board with a 16-MHz clock speed. Therefore, an error in terms of the phase shift emerged in the output signal, which was measured to be 0.0314 rad at 50 Hz. Moreover, the proposed system detected the ZC points of distorted signals with a THD of up to 30 % without using filters and failed at a THD of 40 %. Finally, the ZC points were identified in a three-phase system, and the validity of applying the proposed method to polyphase systems was demonstrated. (c) 2023 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Ain Shams University This is an open access article under the CC BY license (http://***/licenses/by/4.0/).

关键词： arduino uno Ceiling function Phase locked loop (PLL) Synchronization Zero -crossing detector Microcontroller

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PV Panel Monitoring Using arduino And LabVIEW 5

PV Panel Monitoring Using Arduino And LabVIEW

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5th IEEE Global Power, Energy and Communication Conference (GPECOM)

作者： Ichim-Burlacu, Catalin Rat, Cezara-Liliana Panoiu, Caius Politeh Univ Timisoara Dept Elect Engn & Ind Informat Hunedoara Romania

ISBN: (纸本)9798350301984

This paper proposes a low-cost platform for realtime monitoring PV panel operation. The data acquisition is performed using inexpensive hardware. The real-time data measurements (current and voltage values) are continuously acquired using an arduino uno embedded board and a PmodISNS20 current sensor and are transmitted to a PC via USB connection. The monitoring software (HMI) was developed using LabVIEW virtual instrumentation tools. The measured values are displayed on the front panel of LabVIEW application numerically (through text indicators) as well as graphically (the current PV panel operating point is plotted on the I-V and P-V characteristics). The data are also recorded via ODBC connection on a MS Access database, making it possible to analyze and use historical data. This is useful when it comes to developing an MPPT control system. The data is viewed remotely using a windows form application.

关键词： arduino uno PmodISNS20 LabVIEW data acquisition MS Access PV

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A GPS-ENABLED FUEL SENSOR BASED VEHICLE TRACKING SYSTEM FOR FLEET MANAGEMENT USING THE INTERNET OF THINGS

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SCALABLE COMPUTING-PRACTICE AND EXPERIENCE 2025年第1期26卷 34-47页

作者： Srinagesh, A. Aparna, CH. Rao, M. v. p. chandra sekhara RVR & JC Coll Engn Dept CSE Guntur India

The key objective of this paper is to monitor the Fuel consumption, route deviations, driving habits, breakdown details, vehicle maintenance conditions, and other vital performance details of a Heavy vehicle especially a college bus using a pre-fitted fuel sensor needed for an extensive fleet management system as operational costs and maintenance are escalating day by day. In particular, vehicle owners are confronting fuel break-ins, spare parts theft and illegal parking or route diversions in transport vehicles. In addition to this, vehicle proprietors don't ascertain operational details daily if they are illiterate. Various models are available which Standalone, Onboard diagnostics-based, GPS GPS-based fuel tracking Systems. This research project leverages IoT technology, GPS-based sensors, and a GSM tracking system to provide vehicle owners with real-time information on fuel consumption. This cloud-based and mobile application tracks the vehicle in real time. Most of the models are web-based and custom-built only. When the driver initiates fuel filling, the Fuel sensor in the tank automatically activates and senses the amount of fuel in the diesel tank by transmitting fuel input data to a connected cloud web server for storage and analysis along with other data. The gathered values are cross-verified with the database, and an alert message is promptly sent to the vehicle owner based on consumption patterns. This mobile app-based Vehicle Tracking System (VTS) application, using SMS and Vehicle tracking features offers numerous advantages to the vehicle owner, primarily focusing on preventing fuel theft.

关键词： Fuel Sensor GPS Sensor Ultra Sound Sensor arduino uno ESP 8266 Google Maps Internet of Things

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A decision-making approach on control techniques for an inverted pendulum based on, neuro-fuzzy, indirect adaptive and PID controllers

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DISCOVER APPLIED SCIENCES 2024年第5期6卷 1-17页

作者： de la Cruz-alejo, Jesus Beatriz-Cuellar, Hugo Guillermo, I. C. Alcocer Ortega, Agustin Mora Sch Tecnol Nacl Mexico Tecnol Estudios Super Ecatepec Mexico City Mexico

The operation of an inverted pendulum and its respective type of control are affected by the change of the values of its internal parameters. Changes with high uncertainty result in responses with undesirable outputs. In this work, a comparison is presented for the control of an inverted pendulum to determine the operation and characteristics of three types of control systems: Neuro-Fuzzy Control (NFC), Indirect Adaptive Control (IAC) and a Proportional Integral Derivative control (PID). The study considers several indices such as stabilization time, rise time, mean square error, overshoots, convergence, computational load, error, mathematical requirements, and performance indices for control systems. To demonstrate its operation, the controls are implemented in hardware, one for the NFC and another for the IAC under an arduino uno platform. The results indicate that the NFC and IAC controls do not generate a transient or impulse response, only a small delay and the rise and stabilization time are minimal. While PID presents a transient response and overshoot, as well as a stabilization time to reach the steady state response. center dot The characteristics and operation of an NFC, IAN, and a PID were analyzed using an inverted pendulum. center dot The prototype was built to carry out experimental tests with the controllers. center dot For the controllers, the initial requirements, implementation results (hardware), and efficiency are described.

关键词： arduino uno Artificial neural networks Fuzzy logic control Inverter pendulum PID

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A comparative analysis of energy consumption in conventional and electric vehicles

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INTERNATIONAL JOURNAL OF VEHICLE PERFORMANCE 2024年第2期10卷 177-195页

作者： Naik, S. Gopiya Nabi, Syed Mohammed Mustafa PES Coll Engn Dept EEE Mandya Karnataka India

Most widely used motorised vehicles until now are petroleum-based vehicles. But, environmental concerns, policy change and technological advancements are resulting in steady replacement of the conventional vehicles with electric vehicles (EV). With widespread adoption of EVs, it is a must to compare their performance against conventional vehicles. In this paper, the performance of electric propulsion (EP)-based scooters and internal combustion engine (ICE)-based scooters are analysed in terms of power requirement, torque requirement, energy consumption, and mileage. These scooters are modelled using MATLAB Simulink considering longitudinal vehicle dynamics. For this, drive cycle of Mandya City (Karnataka state) is constructed by gathering speed versus time data by driving a scooter with various rolling resistance coefficients. In addition, a standard signal having constant and zero acceleration, constant deceleration phases is also considered to simulate the models in a hilly region by varying the grade angle. Four popular commercial scooters available in India were modelled.

关键词： electric vehicle internal combustion engine vehicle drive cycle battery-to-wheel efficiency tank-to-wheel efficiency vehicle dynamics arduino uno

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Comparative exploration of CNN model and transfer learning on fire image dataset

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INNOVATIONS IN SYSTEMS AND SOFTWARE ENGINEERING 2025年第1期21卷 247-256页

作者： Suklabaidya, Sudip Das, Indrani Karimganj Coll Dept Comp Sci & Applicat Karimganj India Assam Univ Silchar Dept Comp Sci Silchar India

IoT is essential in today's surveillance environment for maintaining safety and providing the best fire detection performance. Cameras are being installed in a lot of places because fire can seriously damage both residential and commercial sectors. However, the installed video monitoring device may generate data or perspectives that are odd or skewed. In view of these shortcomings, a convolutional neural network-based approach is proposed. The data set for testing the model is provided by an integrated sensor system that was built using an ESP-32 CAM image sensor, a number of complementing sensors, and an arduino uno microcontroller. Using drop out techniques, the model also solves the issue of overfitting in the paper. The performance of our approach was compared to that of other transfer learning models, such as MobileNet, Resnet50 and VGG19 that uses well-known state-of-the-art architectures. The main goal of this paper is to build a model which gives high accuracy while consuming low computational power during inference. The proposed model accuracy relative to latency is better than the transfer learning models. Furthermore, the approach is to build a well-generalised model for unknown data, resulting in efficient generalisation and fewer false predictions.

关键词： IoT ESP-32 CAM arduino uno CNN Optimizer Transfer learning

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Security patrolling BOT based on loT

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JOURNAL OF OPTICS-INDIA 2025年第1期54卷 13-23页

作者： Singh, Abhijeet Singh, Pushpendra Mishra, Shekhar Patel, Surya Pratap Chauhan, Madan Singh Singh, Rajendra AKTU Rajkiya Engn Coll Banda Dept Appl Sci & Humanities Elect Lucknow 210201 UP India AKTU Rajkiya Engn Coll Banda Dept Elect Engn Lucknow 210201 India Deen Dayal Upadhyaya Gorakhpur Univ Dept Phys Gorakhpur 273009 Uttar Pradesh India Cent Power Res Inst Bhopal 462023 MP India

The population is increasing on this growing planet, and as a result, security issues are developing as well. In this situation, safety is one of the major concerns. It might not be able to physically secure everyone due to the large population. Currently, CCTV cameras are used for security, but they are costly and can't be installed everywhere. Internet of Things (IoT) became a possibility as a result. Therefore, we suggest a security patrolling robot for public protection that can substitute personnel and deliver high-quality security. In this system, a Raspberry Pi, camera, sound sensors, servo motor, and Global Positioning System (GPS) Module are all mounted on the robotic vehicle. This camera, mounted on a servo motor, is utilized for live streaming and recording live events. The robotic vehicle displays the live event and moves the camera 45 degrees to the right & left if it detects any sound. GPS module is used to track the bot's location. Therefore, we are developing a bot that can be deployed to secure a broad region.

关键词： IoT arduino uno Raspberry pi RaspController Security

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Development of Experimental Low-Cost Rain Gauges and their Evaluation During a High Intensity Storm Event

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ENVIRONMENTAL PROCESSES-AN INTERNATIONAL JOURNAL 2024年第1期11卷 6页

作者： Dervos, Nikolaos A. Baltas, Evangelos A. Natl Tech Univ Athens Sch Civil Engn Dept Water Resources & Environm Engn Athens Greece

The measurement of rainfall via ground sensors is fundamental in a variety of hydrological applications, including rainfall-runoff simulations, basin water balance and flood forecasting. The tipping bucket rain gauge (TBR) constitutes the most common type of automatic gauge for the measurement of rainfall intensity. The objective of this work is the development of low-cost and reliable rain gauges, including their data logger, which could be installed at remote, rural areas, in order to supplement with rainfall data the limited or non-existing network of hydrological stations. To achieve this target, two experimental TBRs with diameters of 20 cm (RG20) and 28 cm (RG28) were developed. Electronic boards arduino uno and Raspberry Pi were used for their data logger. The measurements of RG20 and RG28 were compared with those of a high quality rain gauge ARG100 and a daily non-recording rain gauge. The cyclone Daniel on 06-09-2023 caused an intermittent storm event in the city of Athens, Greece, which was measured by all three TBRs for purposes of evaluation. The results showed that the variations between ARG100 and RG28 were lower than 6%, while the variations between ARG100 and RG20 were about 10% during a few time intervals of high rainfall intensity. The return period of the storm event were estimated at 43, 59 and 45 years for rainfall durations of 10, 20 and 30 min, respectively. The observed daily rainfall depth at the non-recording rain gauge was almost identical with that of ARG100 and *** variations on 10-min scale between ARG100 and RG28 were lower than 6%.The respective variations between ARG100 and RG20 were about 10% for a few time *** experimental data logger of the rain gauges has been operating reliably.

关键词： Tipping bucket rain gauge Data logger Electronic board arduino uno Raspberry Pi Athens

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IoT-based Cable Fault Detector with GSM and GPS Module using arduino 3

IoT-based Cable Fault Detector with GSM and GPS Module using...

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3rd International Conference on Innovative Mechanisms for Industry Applications, ICIMIA 2023

作者： Thilagaraj, M. Arun Francis, G. Manikandan, S. Ramaraj, Kottaimalai MVJ College of Engineering Department of Industrial Internet of Things Bengaluru India Karpagam College of Engineering Department of Electronics and Communication Engineering Tamilnadu Coimbatore India Karpagam College of Engineering Department of Electronics and Telecommunication Engineering Tamilnadu Coimbatore India Kalasalingam Academy of Research and Education Department of Electronics and Communication Engineering Tamilnadu Krishnankoil India

ISBN: (纸本)9798350343632

The use of underground pipelines is increasing due to various advantages such as reduced pipeline losses, reduced maintenance costs, and increased resistance to harsh weather conditions. The measurement of distance displayed on the Liquid Crystal Display (LCD) varies whenever a system issue arises. There exists no subterranean cable which is greater than the previous approach because cables were meant to be positioned over the level of the head for a decade ago. Negative climate conditions, Storms, snow, torrential rains, and pollutants have no impact on under-ground lines, although it can be challenging to find a problem in an under-ground cable when it happens to a line. Underground cabling systems are more common in many urban areas. It is challenging to fix this specific cable even when the issue appears at that time because it is unclear where the cable failed because the problem is not clear. The work aims to solve this problem by proposing a suitable method for the digital age. This study has proposed a novel strategy based on Internet of Things (IOT) modules, Global System for Mobile Communications (GSM) and Global Positioning System (GPS). arduino uno, a module-based technique using the Google database is employed to identify faults. In this research work, the primary component is arduino uno. Through the router, this study has established a communication hotspot. Here, each MCU was connected to a transformer, and its status is checked by using the Google database. When compared to other procedures, the proposed method is more accurate and effective. © 2023 IEEE.

关键词： arduino uno Cable fault detection Global positioning system (GPS) Global System for Mobile Communications (GSM) Google database

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