—Our country's main business is agriculture. The majority of people reside in rural regions and rely solely on agricultural products for their livelihood. The quality and yield of agricultural goods will decline in any plant that has the disease. Research and illness detection are therefore crucial. For disease to be successfully controlled and inhibited for practical cultivation and food preservation, genuine crop disease exposure and identification are essential. For farmers to succeed, early illness detection and diagnosis are essential.
{"title":"Leaf Diseases Detection System Using Machine Learning","authors":"Swati Tiwari, Pranjal Patle, Pranshu Patle, Kuldeep Sonkusare, Pranali Mungate","doi":"10.33130/ajct.2023v09i01.002","DOIUrl":"https://doi.org/10.33130/ajct.2023v09i01.002","url":null,"abstract":"—Our country's main business is agriculture. The majority of people reside in rural regions and rely solely on agricultural products for their livelihood. The quality and yield of agricultural goods will decline in any plant that has the disease. Research and illness detection are therefore crucial. For disease to be successfully controlled and inhibited for practical cultivation and food preservation, genuine crop disease exposure and identification are essential. For farmers to succeed, early illness detection and diagnosis are essential.","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135667926","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}
Pub Date : 2023-04-30DOI: 10.33130/ajct.2023v09i01.005
Md. Nazrul Islam, Mohamad Saiful Haffiz Rahman, Kazi Muhammad Asif Ashrafi, Toufiq Ahmed
{"title":"Development of an IOT Based Industrial Fault Detection and Diagnosis System","authors":"Md. Nazrul Islam, Mohamad Saiful Haffiz Rahman, Kazi Muhammad Asif Ashrafi, Toufiq Ahmed","doi":"10.33130/ajct.2023v09i01.005","DOIUrl":"https://doi.org/10.33130/ajct.2023v09i01.005","url":null,"abstract":"","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131990267","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}
Pub Date : 2023-04-30DOI: 10.33130/ajct.2023v09i01.011
Akshita Dhiman, Rajesh Kumar
{"title":"Fault Diagnosis of a Transformer using Fuzzy Model and Unsupervised Learning","authors":"Akshita Dhiman, Rajesh Kumar","doi":"10.33130/ajct.2023v09i01.011","DOIUrl":"https://doi.org/10.33130/ajct.2023v09i01.011","url":null,"abstract":"","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134641263","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}
Pub Date : 2023-04-30DOI: 10.33130/ajct.2023v09i01.013
Chaudhari Dhananjay D, Bhagwat Randhavan
{"title":"FE Analysis of Cornering Fatigue Test for Wheel Rim of Light Commercial Vehicle","authors":"Chaudhari Dhananjay D, Bhagwat Randhavan","doi":"10.33130/ajct.2023v09i01.013","DOIUrl":"https://doi.org/10.33130/ajct.2023v09i01.013","url":null,"abstract":"","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116388161","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}
{"title":"Influencing users for paper recycling using an E-commerce website","authors":"Abhinav Kaushal, Harshit Rawat, Rohit Joshi, Jyotsna Seth","doi":"10.33130/ajct.2023v09i01.004","DOIUrl":"https://doi.org/10.33130/ajct.2023v09i01.004","url":null,"abstract":"","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128531308","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}
Pub Date : 2023-04-30DOI: 10.33130/ajct.2023v09i01.012
Rajeshri Pravin Shinkar
{"title":"Use of Machine Learning Applications for Speech Impaired People","authors":"Rajeshri Pravin Shinkar","doi":"10.33130/ajct.2023v09i01.012","DOIUrl":"https://doi.org/10.33130/ajct.2023v09i01.012","url":null,"abstract":"","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115750229","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}
Pub Date : 2023-04-30DOI: 10.33130/ajct.2023v09i01.009
V.Gowtami Annapurna, K. Anusha, Chhamunya Varsha, M. Deepthi, G. Keerthi
— The Wireless Sensor Network (WSN) technology is being used in a huge number of monitoring applications. It consists of a large number of sensor nodes with limited battery life. These sensor devices are deployed randomly in a sensor zone to collect the data. But these are threatened and attacked by several malicious behaviors caused by some nodes, which result in security attacks. Several security attacks occur in different layers of the wireless sensor network. Due to these attacks, confidential information can be stolen by attackers or unauthorized users, which can cause several problems for authorized users. Cyber-attacks by sending large data packets that deplete computer network service resources by using multiple computers when attacking are called wormhole and Sybil attacks. It is important to identify these attacks to prevent further damage. To overcome these problems, we use a prediction module that consists of various machine learning algorithms to find the best-performing algorithm. we use XGBoost, Adaboost, Random Forest, and KNN algorithms. To train these algorithms, we have used the WHASA dataset which contains 10 different attacks of the VANET environment and benign (normal) class. By using these algorithms classification of attacks can be done which occur on the computer network service that is " normal " access or access under " attack " by Wormhole and Sybil attack as an output.
{"title":"Detection of Network Layer Attacks in Wireless Sensor Network","authors":"V.Gowtami Annapurna, K. Anusha, Chhamunya Varsha, M. Deepthi, G. Keerthi","doi":"10.33130/ajct.2023v09i01.009","DOIUrl":"https://doi.org/10.33130/ajct.2023v09i01.009","url":null,"abstract":"— The Wireless Sensor Network (WSN) technology is being used in a huge number of monitoring applications. It consists of a large number of sensor nodes with limited battery life. These sensor devices are deployed randomly in a sensor zone to collect the data. But these are threatened and attacked by several malicious behaviors caused by some nodes, which result in security attacks. Several security attacks occur in different layers of the wireless sensor network. Due to these attacks, confidential information can be stolen by attackers or unauthorized users, which can cause several problems for authorized users. Cyber-attacks by sending large data packets that deplete computer network service resources by using multiple computers when attacking are called wormhole and Sybil attacks. It is important to identify these attacks to prevent further damage. To overcome these problems, we use a prediction module that consists of various machine learning algorithms to find the best-performing algorithm. we use XGBoost, Adaboost, Random Forest, and KNN algorithms. To train these algorithms, we have used the WHASA dataset which contains 10 different attacks of the VANET environment and benign (normal) class. By using these algorithms classification of attacks can be done which occur on the computer network service that is \" normal \" access or access under \" attack \" by Wormhole and Sybil attack as an output.","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121098996","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}
Pub Date : 2022-12-31DOI: 10.33130/ajct.2022v08i03.004
Mohammad Naveed Hossain, Md. Shaba Sayeed, Sheikh Fahim Uz Zaman
—For the vast majority of people in modern society, ATMs are the preferred method of cash withdrawal. ATM robberies have happened even in locations where CCTV cameras are installed at the ATM facility. The security mechanism will need to be tweaked. To combat these types of robberies, we developed a theft protection system for ATMs that makes use of cutting-edge technology. This system also looks at various physical assaults using ATMs. The device we propose to utilize to take an image of the individual entering the system is a Face Recognizing Camera. Anomaly behavior at an ATM can be detected using sensors that measure tilt and vibration. Any strange conduct will be detected by the LED light and buzzer, which will alert security personnel, the ATM machine will act like money withdrawing. Our system’s main goal is to send out a warning via email or other social media. IoT and GSM networks are used by both Facebook and Instagram. An alert will sent to the security force and a fake transaction process will be set to confuse the suspect. To avoid the unwanted incident after a certain time some anesthetic gas will be released, to make the suspect unconscious. Monitoring and control are now become easier because to this technology.
{"title":"Utilizing the Internet of Things, Monitoring and Protecting System for Automated Teller Machines","authors":"Mohammad Naveed Hossain, Md. Shaba Sayeed, Sheikh Fahim Uz Zaman","doi":"10.33130/ajct.2022v08i03.004","DOIUrl":"https://doi.org/10.33130/ajct.2022v08i03.004","url":null,"abstract":"—For the vast majority of people in modern society, ATMs are the preferred method of cash withdrawal. ATM robberies have happened even in locations where CCTV cameras are installed at the ATM facility. The security mechanism will need to be tweaked. To combat these types of robberies, we developed a theft protection system for ATMs that makes use of cutting-edge technology. This system also looks at various physical assaults using ATMs. The device we propose to utilize to take an image of the individual entering the system is a Face Recognizing Camera. Anomaly behavior at an ATM can be detected using sensors that measure tilt and vibration. Any strange conduct will be detected by the LED light and buzzer, which will alert security personnel, the ATM machine will act like money withdrawing. Our system’s main goal is to send out a warning via email or other social media. IoT and GSM networks are used by both Facebook and Instagram. An alert will sent to the security force and a fake transaction process will be set to confuse the suspect. To avoid the unwanted incident after a certain time some anesthetic gas will be released, to make the suspect unconscious. Monitoring and control are now become easier because to this technology.","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"43 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130641384","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}
Pub Date : 2022-12-31DOI: 10.33130/ajct.2022v08i03.006
Mohammad Naveed Hossain, M. Hassan, R. Monir
{"title":"Analyzing the Classification Accuracy of Deep Learning and Machine Learning for Credit Card Fraud Detection","authors":"Mohammad Naveed Hossain, M. Hassan, R. Monir","doi":"10.33130/ajct.2022v08i03.006","DOIUrl":"https://doi.org/10.33130/ajct.2022v08i03.006","url":null,"abstract":"","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122916898","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}
Pub Date : 2022-12-31DOI: 10.33130/ajct.2022v08i03.008
Prashobh Karunakaran, S. Karunakaran, M. S. Osman, Sreeja Haridas, Prashanth Karunakaran, Arjun Karunakaran
{"title":"The use of IoT to solve Farming Problems","authors":"Prashobh Karunakaran, S. Karunakaran, M. S. Osman, Sreeja Haridas, Prashanth Karunakaran, Arjun Karunakaran","doi":"10.33130/ajct.2022v08i03.008","DOIUrl":"https://doi.org/10.33130/ajct.2022v08i03.008","url":null,"abstract":"","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133646211","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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