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Signal and Image Processing Letters
Published by Association For Scientific Computing Electrical and Engineering
ISSN : 27146669     EISSN : 27146677     DOI : 10.31763/simple
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering
The journal invites original, significant, and rigorous inquiry into all subjects within or across disciplines related to signal processing and image processing. It encourages debate and cross-disciplinary exchange across a broad range of approaches.
Arjuna Subject : Ilmu Komputer (semua kategori) - Pemrosesan Sinyal
Articles 89 Documents
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Prototype of Vehicle Condition Monitoring System for the Adev 01 Monalisa Electric Car Wibisono, Muhammad Damar; Ma'arif, Alfian
Signal and Image Processing Letters Vol 6, No 1 (2024)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v6i1.98

Abstract

The monitoring system used in electric cars is a vehicle condition display where the vehicle has a main drive in the form of a BLDC hub motor and a PSMS type controller. The aim of this research is to measure the temperature of the controller using a temperature sensor (DS18b20), measure battery voltage using a series of resistors, current sensor using ACS712. The input used is the sensor input which is used to detect a condition or physical change which is required in the system output. Arduino Uno R3 hardware is used to receive, manage and provide electrical signals. A user interface or user interface device is needed so that the operation of the system can be known. In this experiment, a Nextion LCD was used as a user interface. The reading tests that have been carried out produce quite varied responses, but are still within normal limits. This shows that the tests carried out have been successfully carried out well. As a result, the tool created can display data accurately, with the display data being displayed at all times as long as the power supply receives power input. The ADEV 01 Monalisa electric car vehicle condition monitoring system prototype was designed and made with smart technology which can later be developed properly and can be used to produce good and precise displays. By experimenting with the vehicle in a stationary condition, the average difference produced in the battery voltage data shows a difference of 0.284 V, in the current data using the instrument it shows a difference of 0.622 mA, in the controller temperature data it shows a difference of 1.24 ℃, with the experiment in the condition of the vehicle in speed conditions low, the average difference produced in the battery voltage data shows a difference of 0.245 V, in the current data for the instrument it shows a difference of 0.183 mA, in the controller temperature data it shows a difference of 0.074 ℃, with experimental conditions of the vehicle in high speed conditions the average difference produced in The battery voltage data shows a difference of 0.083 V, the instrument current data shows a difference of 0.79 mA, the controller temperature data shows a difference of 1.192 ℃.
Lung Cancer Prediction and Detection Using Image Processing Mechanisms: An Overview Ahmed, Bakhan Tofiq
Signal and Image Processing Letters Vol 1, No 3 (2019)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v1i3.11

Abstract

Nowadays, cancer has counted as a hazardous disease that many people suffered from especially Lung-Cancer. Cancer is the disease that cell has grown rapidly and abnormally that is why treating it is somehow tough in some cases but it can be controlled if it is detected in the initial stage. Image Processing Mechanisms have a vital role in predicting and recognizing both benign and malignant cells with the help of classifier mechanisms such as Decision-Tree (D-Tree), A-NN, Support-Vector-Machine, and Naïve-Bayes classifier which are widely utilized in the biomedical field. These classifiers are available to classify the usual and unusual cells. This study aims to review the most well-known Image Processing Mechanisms for Lung-Cancer Detection and Prediction. Brief information about the main steps of proposing an effective system by using Image Processing stages like Image Acquisition, Pre-processing of the image which includes noise elimination and enhancement, Segmentation, Extracting Feature, and Binarization had been demonstrated. In the literature, several researchers' work had been reviewed. A comparison had been done among various reviewed research papers that proposed various models for recognizing and estimating the Lung-Cancer nodule. The comparison based on the Image Processing Mechanisms, accuracy, and classifier used in each reviewed research paper.
Conveyor Control System in Automatic Brick Making Prasetyo, Aditya Apriyanto; Aji, Wahyu Sapto
Signal and Image Processing Letters Vol 2, No 1 (2020)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v2i1.54

Abstract

Brick is a building material that is still widely used by people today. Most of the small-scale brick-making industries print bricks in the traditional way. Of the problems encountered by adding a conveyor as a means of carrying soil that has been printed and then running through the conveyor to the brick makers to add security to the brick makers. The stages of the research were carried out by identifying the problem to produce data from the system to be made, then designing the concept for making the tool. In tool making, the most important components are conveyors, dc motors and PLCs as the main controls in running conveyors. This conveyor works to bring the dough quickly to the craftsmen so that the dough can be measured for the speed of time and the level of safety for the craftsmen. This research has succeeded in creating a "Conveyor Control System in Automatic Brick Making". Conveyor time testing in automatic brick making produces 2 seconds per minute when one brick is on the conveyor and in increasing safety for conveyor makers this can provide good security.
Design and Build a Saghai Ball Thrower at the 2019 Indonesian Abu Robot Contest Setiyabudi, Tri; Aji, Wahyu Sapto
Signal and Image Processing Letters Vol 3, No 2 (2021)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v3i2.43

Abstract

Abu Robocon 2019 will be held in the country of Mongolia with the competition theme "The Great URTUU Spreads Knowledge". The 2019 Indonesian ash robot contest made 2 robots, namely MR 1 (Manual Robot) which is run automatically and MR2 (Automatic Manual). In one of the race sessions there was a section of throwing saghai balls. The parameter that must be achieved is the optimization of the embattlement mechanic by landing a throw on target and getting maximum points. The KRAI 2019 robot thrower uses pneumatics. The wind pressure determines the throwing force of the saghai ball. Angle testing to find out the right angle in order to achieve a good and precise on-target throw. Based on the test results of the pitcher's angle of 500, the ball was thrown 20 times resulting in the robot being able to throw well and the average speed was 4.82 m/s. It can be concluded that the angle of 500 is the right angle to produce a lot of 50 points. Testing with a throwing angle of 600, the ball was thrown 20 times resulting in the robot being able to throw, as well as the average speed produced which was 5.20 m/s. The third test with an angle of 700, the ball was thrown 20 times resulting in the robot being able to throw, as well as the average speed produced which was 6.17 m/s. Testing the angle of 500 is the right angle because it can produce a good throw and produce 50 points.
PID Control for Temperature and Motor Speed Based on PLC Al-Andzar, Muhammad Faqihuddin; Puriyanto, Riky Dwi
Signal and Image Processing Letters Vol 1, No 1 (2019)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v1i1.87

Abstract

Transesterification process of used cooking oil to biodiesel need heating and mixing of ingredients and catalyst at temperature of 30-65oC and stirring speed of 700 rpm for 60 minutes. This research builds a prototype of biodiesel reactor control system to control those process automatically. The system is built using heater element, LM35DZ temperature sensor, DC motor to drive the stirrer, and rotary encoder sensor. PLC OMRON CP1E NA20DR-A is used as system controller by using PID algorithm. The results of this research shows that this system works well as expected. Test results of motor speed control shows, at 700 rpm set point this system gives stable response at 100 % Proportional band, 1,6 s Integral, and 0,2 derivative PID parameters, the system at this setting gives fast rise time and have small overshoot. Test result of temperature control shows, at 60oC set point this system works well at 1% proportional band, 400 s integral, and 0 s derivative PID parameters, the system at this setting gives fast rise time and stable steady state.
The Use of Solar Panels as an Alternative Energy the Performance of DC Water Pumps for Agriculture Nugroho, Adhadi; Baswara, Ahmad Raditya Cahya
Signal and Image Processing Letters Vol 4, No 1 (2022)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v4i1.36

Abstract

This study designs a system that is used to spray mushroom plants automatically with a timer module. The work of the tool starts when the solar panel produces electrical energy whose voltage and current are controlled by the controller during the battery charging process from 07-00 to 17.00. When the load is used for a certain period of time, the digital timer module will signal the relay to supply electric current to the water pump load and cut back the electric current to the water pump. The PLTS system is designed so that it can be used to help watering mushroom farmers regularly every day. Based on the testing of the tools that have been carried out, data obtained that charging the battery using solar panels takes about 5-7 hours. in sunny conditions. In sunny conditions the highest light intensity of 7450 lux can produce 4.01 watts of power, 13.25 V voltage, and 0.30 A current. The duration of watering time is 1 minute using a DC water pump and requires 1 liter of water and an input current of 1.72 A. This study designed a system used to spray fungal plants automatically with a timer module. The work of the tool begins when the solar panel produces electrical energy whose voltage and current are controlled by the controller during the battery charging process from 07-00 to 17.00 hours. When the load is used at a certain time span the digital timer module will give a signal to the relay to flow electric current to the water pump load and cut off the electric current back to the water pump. The solar power plant system is designed to be used to help localize mushroom growers regularly every day. Based on the testing of the tool that has been carried out, data were obtained that the charging of the battery using solar panels is about 5-7 hours. in sunny conditions. In bright conditions the highest light intensity of 7450 lux can produce 4.01 watts of power, a voltage of 13.25 V, and a current of 0.30 A. Watering time duration is 1 minute using a DC water pump and requires 1 liter of water and an input current of 1.72 A.
Monitoring and Power Control on Solar Panels Based on the Internet of Things (IoT) Binnerianto, Binnerianto; Ma’arif, Alfian; Iswanto, Iswanto
Signal and Image Processing Letters Vol 3, No 3 (2021)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v3i3.71

Abstract

Indonesia is a tropical country. Therefore, to utilize abundant solar energy, solar power plants or solar power are made. This research aims to make it easier to monitor the voltage of solar panels and batteries through the Blynk application and Google spreadsheets, as well as automatic power controllers. The tools used in this study are Arduino Uno, MCU ESP8266 node, voltage sensors, relays, solar charge controllers, inverters, batteries, and solar panels. The monitoring and power control tool in this study works at voltages of 12VDC, 5VDC, and 220VAC. Solar panel and battery voltage measurement results are automatically updated in the Blynk app and Google sheets. In the Blynk app the data is updated every 6 seconds, but in Google sheets the data is updated every 1 minute. The average voltage sensor readings per day of solar panels and batteries are 13.011V and 12.969V, with the average error percentage of solar panel voltage is 0.13875% and on batteries is 0.0059%.
Internet of Things-based Temperature and Humidity Control System Bastian, Fathony Nur; Sunardi, Sunardi
Signal and Image Processing Letters Vol 6, No 2 (2024)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v6i2.105

Abstract

The advancement of the industrial revolution 4.0, the use of automation systems and data processing based on the Internet of Things is a new standard that is widely applied to the production and industrial sectors. Air is an important element for daily life, therefore air must have quality so as not to have a negative impact on the body. Therefore, the solution developed in this research is to create an Internet of Things-based room temperature and humidity control system that can be monitored at any time, from anywhere and at any time. The system designed in this research, the ESP8266 microcontroller is used to control and process data from the DHT-11 sensor which is used to detect air temperature and humidity conditions. The results of data processing are then sent to blynk on the smartphone via an internet connection. The relay will turn on the fan when the temperature value is more than 29 °C and will turn off if the temperature is less than 26 °C. From the system testing carried out in the morning until the evening, the temperature error value is 4.46 and the humidity error value is 6.38%. The ability of the system to turn on the fan when the temperature value exceeds a certain limit can also run well.
UAD Lecturer's Introductory System Through Surveillance Cameras with Eigenface Method Azhari, Ahmad; Sahadi, Syah Reza Pahlevi
Signal and Image Processing Letters Vol 4, No 1 (2022)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v4i1.23

Abstract

Technologies related to processing using computers are developing so rapidly, such as applications to identify a person automatically through camera monitors (CCTV). The human recognition application in real time can be found in the surveillance system, identification and facial recognition. The direct observation of human beings has a weakness such as fatigue and saturation that may occur, resulting in decreased accuracy. For that, computer can be an alternative solution to overcome it. For example, the human Face Recognition (Eigenface) detection system. This system can be very helpful when you want to find and know the existence of someone in a place, for example to help in finding the existence of lecturers on campus. Students often seek lecturers to conduct guidance or for other academic matters, but students often do not know whether the lecturers sought on campus or not. Therefore, in this research an application will be made to help students in knowing the existence of lecturers on campus. This final project examines the system to recognize lecturers who are on campus using CCTV. The method used is eigenface. Eigenface is one of the facial pattern recognition algorithms based on the Principle Component Analysis (PCA). The basic principle of facial recognition is to cite the unique information of the face and then be encoded and compared with the previously done decode result. The process itself consists of data collection and facial recognition processes. In the process of collecting data, the data taken in the form of the name and the image of the lecturer will be used as a database to recognize the face of the lecturer. While the facial recognition process is the process by which the face of the lecturer who has been caught by the camera will be compared with the database that has been taken to recognize the lecturer. From the research done can be concluded that there are several factors that affect the accuracy of the system including the distance of the camera sensor with the most effective object is 1 to 2 meters, the intensity of bright or dim light, the face positioning and Number of datasets owned. The test results obtained an accuracy of 89%.
Numerical Simulation of Highly Efficient Cs2TiI6 Based Cd Free Perovskites Solar Cell with the Help of Optimized ETL and HTL Using SCAPS-1D Software Halim, Md Abdul; Islam, Md Shafiqul; Hossain, Md Momin; Khan, Md Yakub Ali
Signal and Image Processing Letters Vol 5, No 1 (2023)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v5i1.57

Abstract

In order to provide the best photovoltaic application, this paper examines the physical, optical, and electrical aspects of Cesium Titanium (IV) based single halide Perovskite absorption materials. Perovskite solar cell for scavenging renewable energy, has grown more and more necessary in the context of the diversification of the use of natural resources. Due to its efficient band gap of 1.8 eV, Cs2TiI6 has become a desirable contender for today's thin-film solar cell. This article shows the spectrum responses of a planar Au/FTO/C60/Cs2TiI6/CH3NH3SnI3/Al based structure where CH3NH3SnI3 is used as a Hole transport layer (HTL) and C60 and FTO are utilized as Electron transport layers (ETL) under 300K temperature conditions. This research demonstrates that employing Fluorine doped Tin Oxide (FTO) and Ultrathin Fullerene (C60) as Electron transport layer charge extraction can be achieved. FTO provides high transmission, strong conductivity, and good adherence for the deposited layers. When used in a coevaporated perovskite solar cell, a C60 layer with an ideal thickness less than 15 nm improves charge extraction. This article tried to avoid cadmium for solar cell generation due to its toxicity on environment. The simulation included detailed configuration optimization for the thickness of the absorber layer, HTL, ETL, defect density, Wavelength, temperature, and series resistance.  In this work the Power Conversion Efficiency (?), Fill Factor (FF), Open-circuit Voltage (Voc), J-V Curve, Quantum Efficiency and Short-circuit current (Jsc) have been measured by varying thickness of absorber layer in the range of 1µm to 6 µm. Energy harvesting effectiveness, cost-effectiveness of perovskite solar cells is all impacted by their PCE, which is a crucial characteristic. The key variables that define a perovskite solar cell's performance are the Voc and fill factor (FF). When the voltage is zero, the solar cell can produce its maximum current, which is represented by the (Isc).  The optimized perovskite solar cell shows a power conversion efficiency of 21.8429% when the absorber layer thickness is 4µm and electron transport layer thickness is 0.6µm.

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