This research was conducted with the aim of making it easier for people to enjoy kawa daun drinks automatically, without using human intervention in the manufacturing process. Currently, the process ...of making kawa daun drinks still uses the manual method, namely by boiling dried and roasted coffee leaves, the dosing of each component and the use of hot water for this drink are still different depending on the maker. Therefore we need a system that can facilitate the community in making this kawa leaf drink, namely by measuring the components of the drink using a weight sensor. For the use of hot water in the manufacture of this drink, hot water with a temperature of 80-90 OC is used, which will be measured using the DS18b20 temperature sensor. This tool is designed using Arduino Mega 2560, Weight sensor, DS18b20 temperature sensor, servo motor, DC motor, HX711 module, relay, mini water pump, keypad, and LCD.
This report describes the successful construction of a Colorimeter CK20.1 prototype using a TCS3200 sensor based on the Arduino Mega-2560 microcontroller for solid foodstuffs inspection. The sample ...color exposed is presented in RGB form. In this experiment, a commercial colorimeter (ColorFlex EZ Spectrophotometer, with the output, is in L*a*b* form) was applied as a validator of the prototype quality performance on color reading for green beans, wheat flour, palm sugar, ground coffee, and cocoa powder. Data were analyzed for mean comparison using t-test or Mann-Whitney for normally or not normally distributed data, respectively. Before data analysis, the RGB data provided by the prototype was transformed to L*a*b* by the template available from colormine.org and vice versa for the data provided by the ColorFlex EZ. The results showed that color component measurement data from the Colorimeter CK20.1 prototype and the Color FlexEZ were significantly different (p<0.05) for all the foodstuffs observed; however, the color produced by each color component is likely very similar visually. Further development of the CK2.1 prototype is being done to provide a cheap and practical color detector.
Model Predictive Control (MPC) is like having a crystal ball for controlling systems. It's a method that allows for optimizing control actions by making predictions about how a system will behave in ...the future. In this research, an MPCbased intelligent control algorithm was created for variable-rate agricultural sprayer robots in order to regulate the goal pressure. The MPC algorithm was described after the modeling and simulation of the spraying system had been established in a MATLAB/Simulink environment. Using the Simulink Support Package for Arduino Hardware in MATLAB/Simulink, the MPC algorithm was implemented in real-time on an Arduino Mega 2560 controller board to verify the accuracy of the simulation results. In this study, MPC was compared to conventional PID control for regulating system pressure. Furthermore, MPC is a revolutionary approach to nonlinear system control that, in comparison to the results obtained with a PID controller, decreases chemical waste and lessens toxicological and environmental risk by achieving zero steady-state error, low transient response, and reduced peak overshoot. In summary, this research demonstrated that MPC is a powerful approach to nonlinear system control. It allows for predicting future behavior and optimizing control actions in real-time. By using this method to control the spraying of agricultural chemicals, this research was able to reduce the risk to the environment and human health, while increasing efficiency and reducing waste.
This brief proposes design of a robust observerbased feedback stabilization for Lipschitz nonlinear systems. The objective is the use of the differential mean value theorem to introduce a general ...condition on the nonlinear functions. To ensure asymptotic stability, sufficient conditions that are expressed in terms of linear matrix inequalities. High performances are shown through real-time implementation with digital signal processing device (ARDUINO MEGA 2560).
Efficient power management remains a significant challenge in remote sensor networks due to isolated operational environments and limited traditional energy sources. Existing solutions often struggle ...to adapt to variable demands and incur high maintenance costs. To address these challenges, this research presents a novel power management system tailored for remote sensor nodes. Leveraging fuzzy-logic methodology, the system intelligently allocates energy from diverse sources such as solar, wind, and batteries, optimizing power distribution while extending the system's operational lifespan. Implemented on an Arduino Mega 2560 microcontroller, the system offers adaptability and compatibility with various IoT applications. Its plug-and-play design enables seamless integration with sensor nodes, enhancing their self-powered capabilities. Validation through extensive simulations using Proteus 8.12 Pro confirms the system's efficacy, compatibility, and reliability in sustaining continuous power flow to variable loads and battery units. This research bridges the gap in remote sensor power management, offering a promising solution to mitigate challenges associated with traditional power systems in such environments. By reducing maintenance costs and enhancing reliability, this innovative approach holds promise for enhancing the longevity and effectiveness of remote sensor networks.
•This research designs a flexible power management system for self-powered sensor nodes in remote areas.•The system enables automatic power switching, variable load distribution, and efficient battery charging.•A Fuzzy Logic Controller (FLC) optimizes power distribution using solar, wind, micro-hydro, capacitors, and batteries.•The goal is to maximize energy source utilization, reduce battery discharging cycles, and extend system lifespan.•The solution uses an Arduino Mega 2560 with a fuzzy-logic algorithm for a flexible, low-cost power management system for IoT applications
ABSTRAK Meningkatnya jumlah sampah botol plastik sekarang ini telah membawa banyak masalah kesehatan dan lingkungan hidup. Masalah tersebut dapat dikurangi jika seseorang mau membawa botol minum ...(tumbler) sendiri. Namun, dibutuhkan mesin penjual air mineral untuk mengisi ulang tumbler. Paper ini menjelaskan disain dan implementasi prototipe mesin penjual air mineral otomatis, praktis, dan ekonomis berbasis Arduino Mega 2560 dan RFID-RC522. Pengujian terhadap prototipe ini dilakukan dalam tiga tahap: (1) pengujian jarak baca antara kartu RFID dengan RFID reader, (2) pengujian pada kondisi ideal, dan (3) pengujian pada kondisi tidak ideal. Dari pengujian pertama disimpulkan bahwa RFID-RC522 dapat melakukan pembacaan optimal pada jarak 35 mm. Dari hasil pengujian kedua diperoleh nilai akurasi (keakuratan) pada saat pengisian air sebesar 82%. Sedangkan hasil pengujian ketiga menyatakan bahwa prototipe dapat membaca kemungkinan yang terjadi pada kondisi tidak ideal. Kelemahan dari prototipe ini adalah belum terintegrasi dengan sistem pembayaran uang elektronik (e-money). Kata kunci: Arduino Mega 2560, Mikrokontroller, RFID-RC522, Sampah Plastik. ABSTRACT The increasing amount of plastic bottle waste today has brought many health and environmental problems. These problem can be minimized when someone brings their own drinking bottle water. But, vending machine-like was needed to refill the tumbler. This paper explains a design implementation of prototype that can provide an automatic, practical, and economical mineral water filling based on Arduino Mega 2560 and RFID-RC522. Testing on this prototype was carried out in three stages: (1) testing of the reading distance between the RFID card and the RFID reader, (2) testing under ideal conditions, and (3) testing under non-ideal conditions. From the first test summarized that the RFID-RC522 can perform optimal readings at a distance of 35 mm. From the second test obtained the accuracy of the prototype when filling water by 82%. And the third test shows that the prototype could read the possibilities occurred in non-ideal conditions. The drawback of this prototype is not yet integrated with e-money payment system. Keywords: Arduino Mega 2560, Microcontroller, RFID-RC522, Plastic Waste.
A Design And Build A Robot Vacuum Cleaner Rapa, Charnia Iradat; Dephtios, Erick; Mariangga, Chrisna ...
Journal of physics. Conference series,
12/2022, Letnik:
2394, Številka:
1
Journal Article
Recenzirano
Odprti dostop
Abstract
In this paper design of the robot Vacum Cleaner, based on the Arduino Mega 2560 is the can walk and vacuum the floor. In this study, a microcontroller is used to regulate the work of the ...robot based on data obtained by six sensors, and the robot’s movement is driven by motor driver to the left and right, forward and backward, where the input is given through the keypad in the form of dust and garbage thisness, provided that if the dust thickness is (30mg)/(mm)3 then the LCD will display binary logic “1”, and if the Dust thickness is ≥0,30 mg/mm3then the data will be displayed on the LCD is binary logic “0”. In designing this robot, four ultrasonic sensors are needed as proximity sensors, also needed a sensor to detect the thickness of the dust, as well as an infrared sensor as a sensor to detect thick garbage. In testing the vacuum cleaner robot, the four ultrasonic sensors, S1, S2, S3, S4 are designed as the cardinal directions, north south, east west, as input data on the microcontroller, and two motor drivers as microcontroller outputs that can move forward and backward, forward turn left, forward turn right, backward turn left, backward turn right as an output to move the robot vacuum cleaner. When the vacuum cleaner robot moves, the dust sensor will detect dust, if the dust thickness is 0,30 mgmm3, the LCD is logic “1”, the sensor will. Work and the vacuum cleaner will sweep the flour while sucking, if the dust thickness ≥30mgmm3, infra red sensor will work with a logic LCD display logic “0”, then the motor driver will stop. The vacuum cleaner does not suck up dust or thick garbage.
Today, all smartphones, notebooks, or other communication devices could connect to the cloud, so the data are accessible everywhere. When these devices are interconnected through the internet, they ...make an Internet of Things (IoT) network that exchanges data among network nodes and other services. IoT has a broad application area from smart applications to various industrial usages. However, the high volume of data transferred in the IoT network makes it crucial to implement mechanisms to transfer the data safe and secure. Enciphering is one of the best techniques to offer end-to-end security. Considering an IoT network, nodes have restricted resources, and applying classical cryptography methods are costly and not efficient, so lightweight block ciphers are one of the sophisticated solutions to overcome security drawbacks in this scope. In this paper, ten lightweight algorithms involve AES, PRESENT, LBlock, Skipjack, SIMON, XTEA, PRINCE, Piccolo, HIGHT, RECTANGLE tested to evaluate their performance for key factors such as memory usage (RAM and ROM), energy consumption, throughput, and execution time for both encryption and decryption modes over cloud transmission. We have done simulations using Raspberry Pi 3 and Arduino Mega 2560 as the leading devices in the IoT scope. As a result, this paper will help IoT developers to choose the right platform and enciphering algorithm to set up a secure network due to multiple factors like energy and memory usage, especially for software platforms.
