Arduino Microcontroller Research Articles

Implementation of Regenerative Brake System Controller by Using Mini Controller Arduino

The key requirement for electric vehicles is efficient braking. The objective of this study is to provide a detailed description of the regenerative braking system utilizing various power flow regulators. This study utilizes a buck-boost type Boost Converter. There are two methods employed to modify the voltage derived from the fluctuating input produced during regenerative braking: one to decrease it and the other to boost it. Subsequently, a voltage sensor detects the resulting output voltage, which is then regulated using an Arduino microcontroller. The examination findings indicate that the buck-boost converter performs well, maintaining an output voltage within the range of 39-40 volts. This allows it to function well even when there are fluctuations in the input voltage. The voltage value can be utilized for the purpose of charging a battery for a 36 Volt electric motor. The findings demonstrate the efficacy of utilizing a Buck-Boost Converter regulator. Furthermore, it could charge the battery within a span of 8 seconds, making it a viable option for electric vehicles as an alternative to regenerative braking for battery recharging.

Optimizing Plant Watering Efficiency via IoT: Fuzzy Sugeno Method with ESP8266 Microcontroller

This research explores automatic plant sprinklers utilizing fuzzy logic with the fuzzy Sugeno method to overcome optimal watering schedules. Developed with ESP8266 microcontroller hardware and Arduino IDE software, the WSN prototype focuses on spinach plants. Watering in the nursery was done twice a day for seedling growth, then reduced to once a day. Soil moisture levels were assessed using a soil analyzer, as well as temperature variations with the HTC-1 device. Python facilitates data analysis, generating fuzzy inference graphs on temperature sensors (10-40°C) and soil moisture values (1-1024 RH). This innovative approach, which integrates fuzzy logic and advanced hardware, offers a promising solution for effective plant care.

Enhanced multifunctional sensing in human motion with speed-controlled coaxial wet-spun hollow MWCNT-TPU/TPU smart fibers

In the field of personal health management and athletic performance optimization, the demand for multi-parameter human signal monitoring devices is rapidly increasing. Currently, flexible sensors produced through wet spinning techniques face challenges of simplistic structure and functionality, as well as difficulty in balancing strength and sensitivity. In-depth research is needed to develop high-performance wet spinning techniques, which will lay the foundation for commercial smart garments capable of unobtrusively monitoring human motion in the future. This study innovatively employs specialized slurry formulations and spinning speed controls to utilize the timing differences in fiber precipitation and the affinity among similar materials. Through the coaxial wet spinning process, it enables the continuous, large-scale manufacturing of hollow core–shell fibers, MT/T-S5, which feature a dense inner layer and a porous outer conductive layer. This special structure endows the fibers with high strength, high signal stability, and capabilities for both active and passive heating. These fibers achieve a maximum gauge factor (GF) 65.2 in stretch sensing applications and can detect pressures as low as 0.1 N. The MT/T-S5 smart fibers can sense human joint movements, and through connection with an Arduino microcontroller, they can control a robotic hand and perform independent and real-time motion detection of five fingers to distinguish gestures. This research not only provides a new type of fiber material for the development of future smart textiles but also reveals a formation mechanism for hollow core–shell fibers in the field of wet spinning. This discovery can offer valuable inspiration for fiber structural design in future research.

Efficient Departmental Coordination: Real-Time Schedule Display using Arduino

This project tackles the time-consuming task of schedule management for Heads of Departments (HODs) by developing a dynamic, automatic display system. Utilizing an Arduino microcontroller, an RTC module, and a P10 LED display (16x32), the system displays their one-week schedule in real-time, updating automatically each day. Bluetooth connectivity empowers adjustments to the schedule through an external device, offering flexibility and control. Utilizing a P10 LED display for clear visibility, it automatically updates with the real-time clock. Schedule information is embedded within the code for reliability, and the display format is divided for time and detailed schedule. Prioritizing eco- friendliness, it uses low-power components. This project aims to improve departmental communication, transparency, and efficiency by providing a clear and accessible platform for HOD schedule information.

Designing and Implementing a 3DOF Robotic Arm for Color Sorting and Object Identification Using Computer Vision Technology

This paper focuses on designing a three-degree-of-freedom robotic arm for color sorting using computer vision technology. It involves the use of a robotic arm composed of three joints and a gripper for grasping and manipulating objects. Each joint is actuated by a servo motor that is controlled by an Arduino microcontroller to control the angles of the joints and achieve the desired motion. The microcontroller relies on a camera to detect and analyze colors. The camera captures an image of the objects present in the designated area and converts it into digital data to be processed later by a computer. Then, the well-known (OpenCV) and (NumPy) library in the Python programming language is used to process this data and identify the colors. Once the color is determined, the corresponding Python command is executed through the Arduino microcontroller. That allows the robotic arm to move towards the designated location based on the identified color. Consequently, the arm grasps the detected object and places it in the appropriate position according to its color. The effectiveness of the proposed approach has been verified in real-time experiments.

Affordable Green IoT-Based System for Remote Sensing of PM1, PM2.5 and PM10 Particulate Matter

Particulate matter (PM) possesses the capacity to intrude deeply into the respiratory system, even infiltrating the bloodstream. Prolonged exposure to heightened PM concentrations has been causally associated with a spectrum of respiratory ailments, encompassing asthma, bronchitis, and chronic obstructive pulmonary disease (COPD). This paper endeavours to introduce a remote sensing system tailored for the quantification of particulate matter, underpinned by the principles of the Green Internet of Things (GioT). This framework is rooted in the pursuit of an ecologically harmonious infrastructure and energy sustainability. The devised architecture integrates PM 1, PM 2.5, and PM 10 sensors, seamlessly interfaced with Arduino microcontrollers, thereby facilitating real-time data acquisition. To sustainably energize this system, solar cells are harnessed to furnish a reliable power source. Augmenting this configuration is a data communication infrastructure established upon LoRa (Long Range) technology, a hallmark of the Green Internet of Things. Concomitantly, empirical investigations have been conducted to illuminate system performance. These inquiries were conducted in conditions mirroring low particle deposition scenarios, culminating in an observed average error spectrum spanning 5.64% to 6.95%. Further examinations scrutinized the data transmission process through LoRa, unveiling an impressive maximal transmission range of 281 m while conserving data transmission viability. Additionally, an exploration of energy utilization encompassed both empty and comprehensive data transmissions, divulging a marginal disparity of 0.1 Watt per data transmission event. In the final analysis, the conducted assessments affirm the system's fidelity, disclosing an error quotient below the 10% threshold. Most notably, the discerned operational efficiency of the energy supply substantiates its synergy with sustainable energy paradigms. In summation, this study proffers an innovative remote sensing system, harmonizing the nuanced demands of PM quantification with the virtuous principles of the Green Internet of Things. By merging the acumen of PM sensors, solar-driven power provisions, and the efficiency of LoRa communication, the proposed framework establishes a salient benchmark for integrative sensor networks with ecological resonance.

MODIFIKASI SISTEM ERETAN PADA EMCO COMPACT 5-PC CNC LATHE

The EMCO Compact 5-PC CNC Lathe engine made in Austria in the laboratory majoring in Mechanical Engineering, Sam Ratulangi University has not been operating due to the use and maintenance of machines that have been lasted for years so that they are not maintained and cannot be operated anymore. In order to be operated again, the machine needs to be repaired and modified. The purpose of this study is the modification of the eretan system in the EMCO Compact 5-PC CNC Lathe by adding a belt transmission system and calibrateing the motor stepper using a computer, so that a more precise product can be produced. Modification of the EMCO Compact 5-Pc CNC Lathe eretan system has been successful. The Modification Process of EMCO Compact 5-Pc CNC Lathe carried out is the replacement of old components with new components and assembling the grade system components based on the CAD image that has been created. Then the machine is connected to a computer/laptop to calibrate and adjust the speed of the stepper motor on the X axis, Y axis, and X axis through the GRBL Controller Software so that the resulting movements are the same as those programmed. Keywords: Modification, CNC Lathe, CAD, Calibration, Stepper Motor, GRBL, Arduino Microcontroller

Implementasi Teknologi LoRa untuk Monitoring Real-Time Lampu PJU Berbasis Solar Panel

In the digital age, public road lighting (PJU) monitoring efficiency is becoming essential for effective infrastructure management. The research developed a PJU monitoring system based on LoRa technology and an Arduino microcontroller to monitor the operating conditions of PJU solar panels in real time. The system uses the LoRa 433 MHz module for remote data communication and is equipped with a voltage sensor to monitor batteries and solar panels as well as an ACS712 current sensor to measure current consumption on LED lights. The data is displayed on an I2C 16x2 LCD screen, making monitoring easy. LoRa technology offers the advantages of broad communication range and low power consumption. The development method used is prototyping, including needs analysis, system design, implementation, testing, and maintenance. Test results show that the system works well, with sensors providing adequate accuracy and LoRa communication enabling remote data access. The system improves the efficiency and accuracy of PJU monitoring, as well as reduces time and effort in the monitoring process. Overall, the system is an effective solution for PJU management in the digital age.

Wireless Electric Vehicle Charging System using Solar Energy

Abstract: The proliferation of electric vehicles (EVs) has spurred the need for efficient and sustainable charging solutions. This paper presents the design and implementation of a wireless EV charging system integrating solar energy harvesting and Arduino-based control. The proposed system aims to provide convenient and eco-friendly charging for EVs while minimizing reliance on grid electricity. The core components of the system include photovoltaic panels for solar energy capture, wireless power transfer technology for cordless charging, and Arduino microcontrollers for system control and monitoring. By harnessing solar energy, the system reduces dependence on conventional power sources, thereby lowering carbon footprint and operating costs.

SolarBot: A Dual-Mode, Bluetooth-Enabled Two-Wheel Robot Powered by Renewable Energy

This research paper explores the development and deployment of a two-wheel drive robot car that leverages renewable solar energy stored in lithium-ion batteries. The system is designed with an L298N motor driver, an Arduino microcontroller, and an HC-05 Bluetooth module, providing the robot with both autonomous and manual control capabilities. The solar panel, integrated with a charging module and voltage regulator, is mounted on a zero PCB, ensuring a sustainable and uninterrupted power supply. The robot is equipped with ultrasonic sensors, enabling it to detect and navigate around obstacles automatically, ensuring a safe and efficient operation. In its autonomous mode, the robot can navigate predefined paths, making real-time adjustments based on sensor input to avoid collisions. This feature is particularly useful for applications such as automated plant watering, where the robot can move through a garden and irrigate plants while avoiding obstacles. Additionally, the robot can be utilized as a floor cleaning device, capable of maneuvering around furniture and other objects. The RC Bluetooth app facilitates manual control, allowing users to operate the robot remotely for various tasks. The project demonstrates a practical application of renewable energy in robotics, emphasizing the benefits of sustainable energy solutions and versatile operational modes. The use of a wooden platform provides a sturdy base for the robot's components, ensuring durability and reliability. This work contributes to the field of robotics by showcasing how solar power can be effectively harnessed to create energy-efficient, multifunctional robotic systems.

An Arduino-Powered Device for the Study of White Perception beyond the Visual Chromatic Critical Flicker Fusion Frequency.

Arduino microcontrollers are used for a wide range of technological and biomedical applications, such as image classification, computer vision, brain-computer interaction and vision experiments. Here, we present a new cost-effective mini-device based on RGB LED flicker stimulation for the assessment of the chromatic temporal resolution of the visual function based on the concept of critical flicker fusion frequency (CFF). The assembly of the device and its testing in thirty young subjects demonstrate the steady white visual perception of a trichromatic flicker stimulus (mixture of red, green and blue stimuli) beyond the CFF. Macular function as measured by photo-stress recovery time (PRT) was found to be independent of the CFF measurements for red, green and blue lights. However, a statistical correlation was found between the contrast modulation for CFF for red and green stimuli and PRT. Finally, wavefront measurements demonstrate that high-order aberrations improve the temporal resolution of the visual function.

Computer-Based Experiment for the Motion of Spring Oscillator on a Linear Air Track Using Ultrasonic Sensor.

In the present paper, an affordable innovative physical experimental equipment consisting of an upper computer, an ultrasonic sensor module, and an Arduino microcontroller has been designed. The relationship between the position of the slider fixed on two springs and time is measured by using the ultrasonic sensor module. A system for slider motion data and image acquisition is constructed by using the LabVIEW interface of Arduino UNO R3. The purpose of this experiment is to demonstrate and interpret the propagation of waves represented by harmonic motion. The spring oscillator system including a slider and two springs is measured and recorded, and the motion can be realized using curve fitting to the wave equation in Sigmaplot. The vibration periods obtained from experimental measurements and curve fitting of the wave equation are 1.130 s and 1.165 s, respectively. The experimental data are in good agreement with the theoretical model. The experimental measurement results show that the maximum kinetic energy is 0.0792 J, the maximum potential energy is 0.0795 J, and the total energy at the position of half the amplitude is 0.0791 J. The results verify the mechanical energy conservation of spring oscillator system in a short time. This self-made instrument has improved the visualization and the automation level of the corresponding experiments.

Thermodynamic analysis of a heat engine: experiments with the Stirling cycle

This paper presents a practical thermodynamic analysis of a desktop Stirling engine to demonstrate some of the fundamental principles involving the conversion of heat to work as part of an introductory undergraduate course. Experimental measurements of temperature, pressure and volume using an Arduino microcontroller allows for the construction of P-ν and T-s process diagrams from thermodynamic relationships. By comparing the quantitative data from actual and ideal cycles, the Stirling engine represents an effective teaching tool for reinforcing core content with students.

Solar Panel Dirt Detection and Cleaning System

The proposed solar panel dirt detection and cleaning system improves the efficiency in generating output voltage that integrates Arduino micro-controller with voltage recognition technology to enhance the efficiency of solar energy harvesting. The system utilizes voltage divider circuit to identify dirt or debris on the solar panel surface by analyzing changes in output voltage produced by the solar panel. Along with voltage divider circuit, LDR (Light Dependent Resistor) sensor is utilized to enable the cleaning process only in day time when the intensity level of the LDR is more than threshold value. Upon detection, the Arduino micro-controller triggers a cleaning mechanism to remove the identified dirt. The cleaning mechanism can be designed using actuators, brushes and other appropriate tools. The Arduino's programmability allows for customization of cleaning intervals, ensuring timely maintenance.

Arduino-Based automatic cutting tool for coconut shell charcoal briquettes

Coconut shell waste is underutilized due to the high demand for coconut in Indonesia. To maximize the use value of the material, coconut shells are converted into biomass energy, specifically charcoal briquettes. Due to the rapid advancement of technology today, it is necessary to use equipment that can run automatically to increase productivity, reduce production time, and lower production costs. This research was conducted to make an automatic cutting tool based on an Arduino microcontroller. The first process identified with literature studies related to automatic briquette cutting tools. The second process is conceptualised by assessing several design variants, then the highest value is taken. The third process is designing by making detailed drawings per component. The fourth process of completing the design by assembling all the components that have been made, and then testing the Arduino-based automatic cutting tool. The results obtained by the automatic cutting tool produce a cutting consistency of 77.5% and produce a residue of 22.5%. From the test data, the Arduino-based automatic cutting tool can work more effectively and efficiently to increase production capacity.

Investigating the influence of temperature on salt solubility in water: a STEM approach with pre-university chemistry students

Abstract In a society heavily influenced by technological advancements, developing scientific and technological literacy among young people is essential. Along these lines, this research describes a STEM activity developed to promote the teaching of chemistry content related to the solubility of potassium nitrate in water. It also facilitated the mastery of technological skills such as programming Arduino microcontrollers and using Microsoft Excel as tools for automatic data acquisition and analysis. Eighty pre-university Chemistry students participated in this research. This pedagogical approach was divided into three main stages: (1) preliminary research on components used in the experimental apparatus; (2) introduction to the assembly of electrical circuits and Arduino programming; (3) experimental investigation of the dependence of potassium nitrate solubility on temperature. The activity allowed the students to successfully achieve the proposed chemistry learning objectives while mobilizing other scientific and technological knowledge and skills. Despite the students’ limited prior knowledge of programming and electronics, as well as their limited proficiency in data analysis software, the integration of programming in the Chemistry class proved to be a differentiating factor with a highly positive impact, particularly in terms of motivation and interest among most students.

Digital Notice Board using Bluetooth and Arduino

In this project, Bluetooth and Arduino microcontrollers are used to build and operate a wireless noticeboard system. To disseminate real-time information across many contexts, a cutting-edge, interactive platform is now being developed. On conventional noticeboards, there are just physical notes and human modifications, both of which can be tedious and time-consuming. This solution makes use of Bluetooth connectivity and the adaptability of Arduino to let users send messages wirelessly from their cell phones or laptops. The Bluetooth-enabled devices used in the wireless noticeboard system allow users to enter messages. An Arduino microcontroller with a Bluetooth module collects the messages, processes them, and displays the results on a display device. Users can rapidly post messages to the noticeboard from their mobile devices using Bluetooth technology without having to engage with it physically. The system's core processing unit, the Arduino microcontroller, which also activates the display unit, receives and processes incoming messages before displaying them.

Liquid Flow Control System Using Arduino Microcontroller

Abstract: An automated system presented here is designed to control the flow of fluid or liquid. The system uses automated peristaltic Pump to control the liquid flow. The peristaltic pump used here is designed and developed by the author according to the requirement of the application. The stepper motor movement of pump is controlled by using Arduino Microcontroller. Liquid flow through the pump is controlled in two ways: Automatic and manual mode. Such systems can be used in small industries for fluid separation from slurry or slug. Also can used where pre described amount of liquid or fluid is required in application.

Design and Development of A Traffic Light Simulation Model Based on Arduino Microcontroller

Congestion is one of the transportation problems with the highest percentage to occur at every intersection in all corners of the region. Efforts can be made to solve these problems by making the traffic light regulation system (APILL) in general, APILL still uses static cycle time with cable networks as interconnects between lamp poles, making it difficult to adjust the phase and cycle time referring to traffic conditions that tend to be dynamic, even requiring high procurement and maintenance costs for underground cables. Based on the above, the research team wants to create a simulation mockup of APILL whose cycle time and phase can be set through calculations on the Android platform with wireless interconnection, as well as can be used as a learning facility for cadets/I to provide an understanding of the applicable phase at the intersection, to be able to analyze the performance of an intersection and how APILL works on roads.

Smart Home Security using Arduino-based Internet of Things (IoTs) Intrusion Detection System

Home intrusion detection systems (IDS) have become increasingly important in our modern community due to their high performance in adequately securing the home environment. Nowadays, there is an incessant increase in the number of theft cases hence a need for an intrusion detection system to detect any intruder around our homes. The aim of This paper is to develop a Smart Home Security using an Arduino-based Internet of Things (IoT) Intrusion Detection System. This security system is built using Arduino Uno, ultrasonic sensor and GSM module for efficient monitoring of intruders and sending of SMS alerts to the homeowners at a point of intrusion which is made possible through the Internet of Things network. The Internet of Things is simply a type of network used to connect anything with the Internet based on stipulated protocols through information sensing equipment to conduct information exchange and communications in order to achieve smart recognitions, positioning, tracing, monitoring, and or administration. The proposed system uses an Arduino microcontroller programed to coordinate the activities of the various components connected together for efficient communication using C++ programming language through the Arduino Integrated Development Environment (IDE). The system is simple and highly efficient as it is capable of detecting any intruder within the monitoring environment and triggering an SMS alert once an intruder is found.