Hamzah M. Marhoon, A. Ma’arif, H. Aljanabi, A. I. Alanssari, Israa Nadheer
Recently many cases of missing children between ages 14 and 17 years have been reported. Parents always worry about the possibility of kidnapping their children. This work proposes an Android-based solution to aid parents to track their children in real-time. Nowadays, most mobile phones are equipped with internet service capabilities allowing them to connect with the world. The system's architecture is built on two main components: GPS satellite and IoT technology. The most important features of this work are the low cost, lightweight, and small size. The Blynk app is installed on the mobile phone and the GPS is attached to the NodeMCU microcontroller. The location information is reached through the Blynk app with the help of map services.
{"title":"IoT-Based Low-Cost Children Tracker System","authors":"Hamzah M. Marhoon, A. Ma’arif, H. Aljanabi, A. I. Alanssari, Israa Nadheer","doi":"10.31763/simple.v5i1.62","DOIUrl":"https://doi.org/10.31763/simple.v5i1.62","url":null,"abstract":"Recently many cases of missing children between ages 14 and 17 years have been reported. Parents always worry about the possibility of kidnapping their children. This work proposes an Android-based solution to aid parents to track their children in real-time. Nowadays, most mobile phones are equipped with internet service capabilities allowing them to connect with the world. The system's architecture is built on two main components: GPS satellite and IoT technology. The most important features of this work are the low cost, lightweight, and small size. The Blynk app is installed on the mobile phone and the GPS is attached to the NodeMCU microcontroller. The location information is reached through the Blynk app with the help of map services.","PeriodicalId":115994,"journal":{"name":"Signal and Image Processing Letters","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121378865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Z. Hossain, Md. Yakub Ali Khan, Md. Abdul Halim, Nafisa Sultana Elme, Md. Nayeem Hussain
Perovskite-silicon tandem solar cells have shown great potential in increasing the efficiency of solar cells, with efficiencies reaching as high as 25%. However, the stability of these cells remains a major challenge that must be addressed before they can be commercialized. This review focuses on the stability challenges of perovskite-silicon tandem solar cells and possible solutions to address these challenges. The main stability issues include the instability of the perovskite layer, the degradation of the silicon layer, and the failure of the interfaces between the layers. One solution is to use more stable perovskite materials, such as methylammonium lead iodide (MAPbI3) or formamidinium lead iodide (FAPbI3), which have shown better stability than traditional perovskite materials. Another solution is to use passivating layers, such as titanium dioxide, to protect the perovskite layer from degradation. Another solution is to use silicon heterojunction (SHJ) solar cells, which have shown better stability than traditional silicon solar cells. In addition, the use of encapsulation techniques, such as using a barrier layer or a hermetic seal, can help to protect the tandem solar cell from environmental degradation. In order to improve the stability of perovskite-silicon tandem solar cells, it is important to continue research on the development of more stable perovskite materials, passivating layers, and encapsulation techniques. Additionally, further research is needed to understand the mechanisms of degradation and to develop methods for monitoring and mitigating the degradation of the tandem solar cells.
{"title":"A Review on Stability Challenges and Probable Solution of Perovskite–Silicon Tandem Solar Cells","authors":"M. Z. Hossain, Md. Yakub Ali Khan, Md. Abdul Halim, Nafisa Sultana Elme, Md. Nayeem Hussain","doi":"10.31763/simple.v5i1.58","DOIUrl":"https://doi.org/10.31763/simple.v5i1.58","url":null,"abstract":"Perovskite-silicon tandem solar cells have shown great potential in increasing the efficiency of solar cells, with efficiencies reaching as high as 25%. However, the stability of these cells remains a major challenge that must be addressed before they can be commercialized. This review focuses on the stability challenges of perovskite-silicon tandem solar cells and possible solutions to address these challenges. The main stability issues include the instability of the perovskite layer, the degradation of the silicon layer, and the failure of the interfaces between the layers. One solution is to use more stable perovskite materials, such as methylammonium lead iodide (MAPbI3) or formamidinium lead iodide (FAPbI3), which have shown better stability than traditional perovskite materials. Another solution is to use passivating layers, such as titanium dioxide, to protect the perovskite layer from degradation. Another solution is to use silicon heterojunction (SHJ) solar cells, which have shown better stability than traditional silicon solar cells. In addition, the use of encapsulation techniques, such as using a barrier layer or a hermetic seal, can help to protect the tandem solar cell from environmental degradation. In order to improve the stability of perovskite-silicon tandem solar cells, it is important to continue research on the development of more stable perovskite materials, passivating layers, and encapsulation techniques. Additionally, further research is needed to understand the mechanisms of degradation and to develop methods for monitoring and mitigating the degradation of the tandem solar cells.","PeriodicalId":115994,"journal":{"name":"Signal and Image Processing Letters","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123468961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Md. Abdul Halim, Md. Shafiqul Islam, M. Z. Hossain, Md. Yakub Ali Khan
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 FTO and 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 (η), 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. 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.
{"title":"Numerical Simulation of Highly Efficient Cs2TiI6 based Pb Free Perovskites Solar Cell with the Help of Optimized ETL and HTL Using SCAPS-1D Software","authors":"Md. Abdul Halim, Md. Shafiqul Islam, M. Z. Hossain, Md. Yakub Ali Khan","doi":"10.31763/simple.v5i1.57","DOIUrl":"https://doi.org/10.31763/simple.v5i1.57","url":null,"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 FTO and 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 (η), 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. 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.","PeriodicalId":115994,"journal":{"name":"Signal and Image Processing Letters","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116774306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Every year, electricity consumption in Indonesia has increased in line with population growth and the national economy. One of the factors causing an increase in electricity consumption in Indonesia, one of which is caused by the lifestyle of modern society which is wasteful in using electricity. Modern society is increasingly using electricity inefficiently. One potential solution to this problem is the use of the Internet of Things (IoT) concept. The Internet of Things, or IoT for short, is a system of connected computing devices whose sole purpose is to maximize the benefits of an internet connection. The system built using the PZEM-004T sensor which is processed by the Arduino Uno microcontroller will be sent to Wemos D1 Mini via serial communication (TX-RX) so that it can be displayed on the BLYNK New IoT application on a smartphone. As for the parameters that will be displayed in the BLYNK application, namely voltage, current, and power usage of electrical devices. By using this application, users will be able to more easily and effectively monitor and how much electrical energy is used by equipment remotely. This equipment has been tested from September to October, on 5 electronic devices such as lights, TVs, refrigerators, rice cookers, fans with satisfactory results, namely being able to monitor the use of electrical devices using smartphones through the blynk application.
每年，印尼的用电量都随着人口增长和国民经济增长而增长。造成印尼电力消耗增加的因素之一，其中之一是由现代社会的生活方式造成的，这种生活方式在用电方面是浪费的。现代社会的用电效率越来越低。这个问题的一个潜在解决方案是使用物联网(IoT)概念。物联网，简称IoT，是一个连接计算设备的系统，其唯一目的是最大化互联网连接的好处。使用Arduino Uno微控制器处理的PZEM-004T传感器构建的系统将通过串行通信(TX-RX)发送到Wemos D1 Mini，以便在智能手机上的BLYNK New IoT应用程序上显示。至于在BLYNK应用程序中显示的参数，即电气设备的电压、电流和功率使用情况。通过使用该应用程序，用户将能够更轻松、更有效地远程监控设备使用的电能。该设备已于9月至10月在灯、电视、冰箱、电饭煲、风扇等5种电子设备上进行了测试，结果令人满意，即可以通过blynk应用程序监控使用智能手机的电子设备的使用情况。
{"title":"Electricity power monitoring based on internet of things","authors":"Ekky Haqindytia Saputra, A. Ma’arif, Reza Alayi","doi":"10.31763/simple.v5i1.48","DOIUrl":"https://doi.org/10.31763/simple.v5i1.48","url":null,"abstract":"Every year, electricity consumption in Indonesia has increased in line with population growth and the national economy. One of the factors causing an increase in electricity consumption in Indonesia, one of which is caused by the lifestyle of modern society which is wasteful in using electricity. Modern society is increasingly using electricity inefficiently. One potential solution to this problem is the use of the Internet of Things (IoT) concept. The Internet of Things, or IoT for short, is a system of connected computing devices whose sole purpose is to maximize the benefits of an internet connection. The system built using the PZEM-004T sensor which is processed by the Arduino Uno microcontroller will be sent to Wemos D1 Mini via serial communication (TX-RX) so that it can be displayed on the BLYNK New IoT application on a smartphone. As for the parameters that will be displayed in the BLYNK application, namely voltage, current, and power usage of electrical devices. By using this application, users will be able to more easily and effectively monitor and how much electrical energy is used by equipment remotely. This equipment has been tested from September to October, on 5 electronic devices such as lights, TVs, refrigerators, rice cookers, fans with satisfactory results, namely being able to monitor the use of electrical devices using smartphones through the blynk application.","PeriodicalId":115994,"journal":{"name":"Signal and Image Processing Letters","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128633126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fans are electrical equipment that people often need in their daily lives. Fans that are available in the market generally use a manual button to turn it on and off. It is necessary to develop a system so that the fan can be turned on automatically without the need to press a button on the fan. The system designed in this study has PIR, LM35 and Ultrasonic sensor devices, while the control uses an Arduino Uno microcontroller. PIR testing is done by measuring the sensor output for each input object movement. The LM35 sensor was tested by comparing the temperature measurement results obtained with the measurement results using a standardized digital thermometer. The ultrasonic sensor is tested by comparing the detected distance reading to the actual distance using a ruler placed under the sensor. Overall system testing is done by observing the fan rotation for each given input parameters. The criteria used are if there is human movement and the room temperature is above 28 0C and the object distance is less than 16 cm, then fan 1 and fan 2 rotate simultaneously. Another criterion, if the temperature is below 28 0C, then fan 1 turns off even though there is human movement and fan 2 remains on because the object distance is limited to less than 16 cm. The results showed that the system had worked well, namely fan 1 and fan 2 had behaved according to the specified criteria. This system is expected to be used to assist humans in operating the fan automatically based on room temperature, human movement, and human distance.
{"title":"Smart fan using room temperature sensor and human movement","authors":"Tri Yuga Ciputra, M. Muchlas","doi":"10.31763/simple.v5i1.60","DOIUrl":"https://doi.org/10.31763/simple.v5i1.60","url":null,"abstract":"Fans are electrical equipment that people often need in their daily lives. Fans that are available in the market generally use a manual button to turn it on and off. It is necessary to develop a system so that the fan can be turned on automatically without the need to press a button on the fan. The system designed in this study has PIR, LM35 and Ultrasonic sensor devices, while the control uses an Arduino Uno microcontroller. PIR testing is done by measuring the sensor output for each input object movement. The LM35 sensor was tested by comparing the temperature measurement results obtained with the measurement results using a standardized digital thermometer. The ultrasonic sensor is tested by comparing the detected distance reading to the actual distance using a ruler placed under the sensor. Overall system testing is done by observing the fan rotation for each given input parameters. The criteria used are if there is human movement and the room temperature is above 28 0C and the object distance is less than 16 cm, then fan 1 and fan 2 rotate simultaneously. Another criterion, if the temperature is below 28 0C, then fan 1 turns off even though there is human movement and fan 2 remains on because the object distance is limited to less than 16 cm. The results showed that the system had worked well, namely fan 1 and fan 2 had behaved according to the specified criteria. This system is expected to be used to assist humans in operating the fan automatically based on room temperature, human movement, and human distance.","PeriodicalId":115994,"journal":{"name":"Signal and Image Processing Letters","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124702666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Many catfish cultivators in Indonesia have failed due to lack of attention to the quality of the water used in aquaculture ponds. Water quality is very influential on the catfish farming system with biofloc technology, water has the most important role for the survival of catfish. This research periodically measures the level of turbidity and pH in the water, then the readings from the sensor will be processed by Arduino Uno which will be displayed on the LCD. In addition, this tool can also schedule the provision of nutrients as desired and is able to perform automatic water changes according to the conditions of the aquaculture pond, if the pH and turbidity conditions of the pond exceed the existing threshold, it will activate the drain pump and water increase. The accuracy of the acidity (pH) sensor has an accuracy rate of 96.21% which is very good, with a standard deviation of 2.49. The turbidity sensor has a standard deviation of 0.133. So this tool is designed to make it easier for cultivators to take care of the pond. The hope is that by making this tool it can overcome or overcome the mortality rate of catfish among cultivators.
{"title":"Automation of water circulation regulation and nutritional administration in catfish cultivation ponds with Bioflocculation technology","authors":"I. Ashari, A. Yudhana","doi":"10.31763/simple.v5i1.52","DOIUrl":"https://doi.org/10.31763/simple.v5i1.52","url":null,"abstract":"Many catfish cultivators in Indonesia have failed due to lack of attention to the quality of the water used in aquaculture ponds. Water quality is very influential on the catfish farming system with biofloc technology, water has the most important role for the survival of catfish. This research periodically measures the level of turbidity and pH in the water, then the readings from the sensor will be processed by Arduino Uno which will be displayed on the LCD. In addition, this tool can also schedule the provision of nutrients as desired and is able to perform automatic water changes according to the conditions of the aquaculture pond, if the pH and turbidity conditions of the pond exceed the existing threshold, it will activate the drain pump and water increase. The accuracy of the acidity (pH) sensor has an accuracy rate of 96.21% which is very good, with a standard deviation of 2.49. The turbidity sensor has a standard deviation of 0.133. So this tool is designed to make it easier for cultivators to take care of the pond. The hope is that by making this tool it can overcome or overcome the mortality rate of catfish among cultivators.","PeriodicalId":115994,"journal":{"name":"Signal and Image Processing Letters","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133567920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Indonesian Dance Robot Contest (KRSTI) is a competition for the manufacture, design, and programming of dance robots with elements of the arts and culture of the dance department, especially the archipelago. The obstacle faced by the robot is when the robot is required to stop according to time on the music but there is a movement that appears when the time has been declared over. The method used is using the RTC module. The DS3231 type RTC module is a circuit that functions to store time and date with accuracy and precision and is integrated with the AT24c32 eeprom serial for other data storage purposes. The results of time research testing on this robot are running well, the first results obtained are that the robot can adjust the time when it runs. Furthermore, at the time of pause the RTC module does not interfere with the running of the robot. Finally, the success rate of the robot stopping at the specified time is 100%, the robot can be tested with time according to the user's wishes.
{"title":"Real Time Clock (RTC) module based dance humanoid robot timer system","authors":"Nanda Fahmi Amiruddin, Abdul Fadlil","doi":"10.31763/simple.v5i2.56","DOIUrl":"https://doi.org/10.31763/simple.v5i2.56","url":null,"abstract":"The Indonesian Dance Robot Contest (KRSTI) is a competition for the manufacture, design, and programming of dance robots with elements of the arts and culture of the dance department, especially the archipelago. The obstacle faced by the robot is when the robot is required to stop according to time on the music but there is a movement that appears when the time has been declared over. The method used is using the RTC module. The DS3231 type RTC module is a circuit that functions to store time and date with accuracy and precision and is integrated with the AT24c32 eeprom serial for other data storage purposes. The results of time research testing on this robot are running well, the first results obtained are that the robot can adjust the time when it runs. Furthermore, at the time of pause the RTC module does not interfere with the running of the robot. Finally, the success rate of the robot stopping at the specified time is 100%, the robot can be tested with time according to the user's wishes.","PeriodicalId":115994,"journal":{"name":"Signal and Image Processing Letters","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126244755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study focuses on automatic mask detection tools that can open doors in a room to minimize violations of health protocols, one of which is the use of masks during the pandemic. The method used in this study is the CNN classification method. Where the CNN calcification method has several stages in it, including pre-processing, training, and testing. In the pre-processing, all image data used will be labeled using Labeling.axe. The training process at CNN uses TensorFlow framework version 1.15. In the testing process, the test and data testing will be carried out in real-time by entering new images and models that are made and then a classification process is carried out on objects caught by the camera, classified images are marked with boxes and names of data classes. This data class is divided into two, namely data on wearing masks and without masks. The results of the test were carried out by entering 200 facial image data. The system can correctly detect as much as 190 times from 200 data tested with an Accuracy rate of 95%. Based on the test results, it shows that the resulting model is good and suitable for the classification process of recognizing mask detection images. However, to produce a better model requires data with more variety and a larger amount of data.
{"title":"Mask detection system at the entry of a room","authors":"Erik Herdiyanto, Abdul Fadlil","doi":"10.31763/simple.v5i1.49","DOIUrl":"https://doi.org/10.31763/simple.v5i1.49","url":null,"abstract":"This study focuses on automatic mask detection tools that can open doors in a room to minimize violations of health protocols, one of which is the use of masks during the pandemic. The method used in this study is the CNN classification method. Where the CNN calcification method has several stages in it, including pre-processing, training, and testing. In the pre-processing, all image data used will be labeled using Labeling.axe. The training process at CNN uses TensorFlow framework version 1.15. In the testing process, the test and data testing will be carried out in real-time by entering new images and models that are made and then a classification process is carried out on objects caught by the camera, classified images are marked with boxes and names of data classes. This data class is divided into two, namely data on wearing masks and without masks. The results of the test were carried out by entering 200 facial image data. The system can correctly detect as much as 190 times from 200 data tested with an Accuracy rate of 95%. Based on the test results, it shows that the resulting model is good and suitable for the classification process of recognizing mask detection images. However, to produce a better model requires data with more variety and a larger amount of data.","PeriodicalId":115994,"journal":{"name":"Signal and Image Processing Letters","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125796745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Wibawa, Nastiti Susetyo Fanany Putri, Prasetya Widiharso
Work and communication activities are inextricably linked. Letters are an example of a communication medium that is still widely utilized. When it comes to significant job, however, simply an official letter is required. Official and private letters must be distinguished and classified. Different feature extraction methods, such as the count-vectorizer and TF-IDF vectorizer, are employed to transmit the detection of this official and personal letter. To categorize letters by type, various machine learning (ML) techniques are employed. Nave Bayes, Support vector machine, and AdaBoost are the algorithms. The accuracy measurements used in this study include accuracy scores, F1-mean, recall, and precision. The best working algorithm is Naïve Bayes for two vectorizer methods used, with an accuracy value of 98%.
工作和交流活动是密不可分的。信件是一种仍然被广泛使用的交流媒介。然而，当涉及到重要的工作时，只需要一封正式的信件。公务信件和私人信件必须加以区分和分类。采用不同的特征提取方法，如计数矢量器和TF-IDF矢量器，传输该公函和私人信件的检测。为了按类型对字母进行分类，使用了各种机器学习(ML)技术。Nave Bayes, Support vector machine和AdaBoost是算法。本研究中使用的准确度测量包括准确度分数、f1均值、召回率和精度。工作效果最好的算法是Naïve贝叶斯对于两种矢量化方法所使用的，准确率值为98%。
{"title":"Letter Detection : An Empirical Comparative Study of Different ML Classifier and Feature Extraction","authors":"A. Wibawa, Nastiti Susetyo Fanany Putri, Prasetya Widiharso","doi":"10.31763/simple.v5i1.45","DOIUrl":"https://doi.org/10.31763/simple.v5i1.45","url":null,"abstract":"Work and communication activities are inextricably linked. Letters are an example of a communication medium that is still widely utilized. When it comes to significant job, however, simply an official letter is required. Official and private letters must be distinguished and classified. Different feature extraction methods, such as the count-vectorizer and TF-IDF vectorizer, are employed to transmit the detection of this official and personal letter. To categorize letters by type, various machine learning (ML) techniques are employed. Nave Bayes, Support vector machine, and AdaBoost are the algorithms. The accuracy measurements used in this study include accuracy scores, F1-mean, recall, and precision. The best working algorithm is Naïve Bayes for two vectorizer methods used, with an accuracy value of 98%.","PeriodicalId":115994,"journal":{"name":"Signal and Image Processing Letters","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127649502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Lung Cancer Prediction and Detection Using Image Processing Mechanisms: An Overview","authors":"B. Ahmed","doi":"10.31763/simple.v1i3.11","DOIUrl":"https://doi.org/10.31763/simple.v1i3.11","url":null,"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.","PeriodicalId":115994,"journal":{"name":"Signal and Image Processing Letters","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124736803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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