Pub Date : 2022-03-09DOI: 10.1109/ESCI53509.2022.9758376
D. Shelar, P. G. Andhare, S. B. Gaikwad, P. A. Thakre
This study intended to develop a new and improved approach to solve completely Fully Fuzzy Linear Programming Problems(FFLPP) with Symmetric Trapezoidal Fuzzy Numbers(STFN) and findings results are compared with the results of existing methods. This article, first converted Fully Fuzzy LPP to the same Crisp Linear Programming Problem (LPP) by defuzzifying STFN. It is also proposed that it be presented an efficient and time-saving method. Finally of the paper, examples are shown in support of the results obtained.
{"title":"Modified Approach for Solving Fully Fuzzy Linear Programming Problems","authors":"D. Shelar, P. G. Andhare, S. B. Gaikwad, P. A. Thakre","doi":"10.1109/ESCI53509.2022.9758376","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758376","url":null,"abstract":"This study intended to develop a new and improved approach to solve completely Fully Fuzzy Linear Programming Problems(FFLPP) with Symmetric Trapezoidal Fuzzy Numbers(STFN) and findings results are compared with the results of existing methods. This article, first converted Fully Fuzzy LPP to the same Crisp Linear Programming Problem (LPP) by defuzzifying STFN. It is also proposed that it be presented an efficient and time-saving method. Finally of the paper, examples are shown in support of the results obtained.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131476685","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 : 2022-03-09DOI: 10.1109/ESCI53509.2022.9758262
P. Wakhare, S. Neduncheliyan, Kshitij R. Thakur
Internet of Things (IoT) and Artificial Intelligence (AI) powered by 5G has opened new doors of technology and innovations in the field of agriculture. There is a vast scope of application and development of the above mentioned technologies to detect any shortcomings that may lead to heavy losses for farmer. This paper surveys the use of Internet of Things (IoT) to implement leaf detection on pomegranate plant. It also surveys the use of Artificial Intelligence (AI) to analyze the data collected from leaf detection and identify the diseases that may affect the pomegranate yield.
{"title":"Study of Disease Identification in Pomegranate Using Leaf Detection Technique","authors":"P. Wakhare, S. Neduncheliyan, Kshitij R. Thakur","doi":"10.1109/ESCI53509.2022.9758262","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758262","url":null,"abstract":"Internet of Things (IoT) and Artificial Intelligence (AI) powered by 5G has opened new doors of technology and innovations in the field of agriculture. There is a vast scope of application and development of the above mentioned technologies to detect any shortcomings that may lead to heavy losses for farmer. This paper surveys the use of Internet of Things (IoT) to implement leaf detection on pomegranate plant. It also surveys the use of Artificial Intelligence (AI) to analyze the data collected from leaf detection and identify the diseases that may affect the pomegranate yield.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133367331","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 : 2022-03-09DOI: 10.1109/ESCI53509.2022.9758249
Shreyansh Shital Patil, Rahul B. Diwate, Anita Devkar, Ashutosh M. Kulkarni, Kishor Sadashiv Wagh
India is an agricultural country since olden times. Farming is the major occupation of the country with a variety of crops being grown throughout the country. Thus, factors such as diseases, pest's, other environmental factors can vastly affect the majority of people's livelihoods. Most of these diseases are easily detected through good knowledge of plants' leaves which if avoided on time can prevent heavy losses. This paper proposes a method to classify leaf diseases using the CNN model. Thus, in accord with to database provided leaf diseases can be classified. Every plant disease can be separately classified using the image of the leaf of a plant.
{"title":"Tri-Plant Leaf Disease for Bell Paper, Tomato and Potato Classification Using CNN","authors":"Shreyansh Shital Patil, Rahul B. Diwate, Anita Devkar, Ashutosh M. Kulkarni, Kishor Sadashiv Wagh","doi":"10.1109/ESCI53509.2022.9758249","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758249","url":null,"abstract":"India is an agricultural country since olden times. Farming is the major occupation of the country with a variety of crops being grown throughout the country. Thus, factors such as diseases, pest's, other environmental factors can vastly affect the majority of people's livelihoods. Most of these diseases are easily detected through good knowledge of plants' leaves which if avoided on time can prevent heavy losses. This paper proposes a method to classify leaf diseases using the CNN model. Thus, in accord with to database provided leaf diseases can be classified. Every plant disease can be separately classified using the image of the leaf of a plant.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129269329","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}
Augmented Reality (AR) is an immersive technology that provides a realistic and authentic teaching learning experience. It is clear that the today's generation favors technology-assisted learning over traditional learning. Although past research on AR has offered some light on how it can improve learning outcomes in different fields, studies on science experiment methods are still sparse. Experimental knowledge is essential for students to have a deeper grasp of the phenomena. The process of creating and developing a Smartphone app for a physics experiment employing AR technology is discussed in this article. This is an additional learning tool for upper secondary school. The ultimate goal of this mobile based AR app for Physics Experiment is to deliver meticulous knowledge in addition to traditional procedures and learning resources. A number of experiments have been chosen for inclusion in ElectroAR. To gauge feedback, an expert review is done. The user evaluation of ElectroAR in real classroom settings is something that will be done in the future.
{"title":"Analyzing the impact of Augmented Reality based Digital Environment on Students' Learning","authors":"S. Gargrish, Harun, Leeza Sharma, Bhanu Sharma, Neha Tuli, Manisha Pathania","doi":"10.1109/ESCI53509.2022.9758186","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758186","url":null,"abstract":"Augmented Reality (AR) is an immersive technology that provides a realistic and authentic teaching learning experience. It is clear that the today's generation favors technology-assisted learning over traditional learning. Although past research on AR has offered some light on how it can improve learning outcomes in different fields, studies on science experiment methods are still sparse. Experimental knowledge is essential for students to have a deeper grasp of the phenomena. The process of creating and developing a Smartphone app for a physics experiment employing AR technology is discussed in this article. This is an additional learning tool for upper secondary school. The ultimate goal of this mobile based AR app for Physics Experiment is to deliver meticulous knowledge in addition to traditional procedures and learning resources. A number of experiments have been chosen for inclusion in ElectroAR. To gauge feedback, an expert review is done. The user evaluation of ElectroAR in real classroom settings is something that will be done in the future.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129338361","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 : 2022-03-09DOI: 10.1109/ESCI53509.2022.9758230
E. Priyanka, B. Adithya, S. Arun Prasanth, C. Dhanaseelan
Maintaining a very good pond is essential for developing healthful fish, attaining satisfactory production and enhancing way of life efficiency. Small-scale commercial farmers walking on small ponds couldn't have the funds to rent employees to monitor daily operations which normally includes monitoring basic parameters like water temperature, water levels, and feeding of fishes. Whereas large-scale enterprises normally have some sorts of automation for water monitoring and replacement. These entities ought to keep in mind using dissolved oxygen (DO) and pH sensing units to make sure the fitness and boom of fish, in the end as their farms grow. Our solution monitors different basic parameters like temperature, DO, pH, flow rate and level which are recorded then correlated with each other to find other factors like toxic ammonia, alkalinity etc. and suggest an optimized way of control. Unlike the existing system which is controlled by user using an app, our system will automictically adjusts when the parameter reaches the threshold rate and sends to user through notification. LDR is used to turn ON lights during night time so that phytoplankton can generate oxygen during night too if required. A website will be created to get clear insights about the parameters. Hence all these factors contribute to better yield and income.
{"title":"Integrated Low-Cost Intelligent Solution for Inland Aquaculture","authors":"E. Priyanka, B. Adithya, S. Arun Prasanth, C. Dhanaseelan","doi":"10.1109/ESCI53509.2022.9758230","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758230","url":null,"abstract":"Maintaining a very good pond is essential for developing healthful fish, attaining satisfactory production and enhancing way of life efficiency. Small-scale commercial farmers walking on small ponds couldn't have the funds to rent employees to monitor daily operations which normally includes monitoring basic parameters like water temperature, water levels, and feeding of fishes. Whereas large-scale enterprises normally have some sorts of automation for water monitoring and replacement. These entities ought to keep in mind using dissolved oxygen (DO) and pH sensing units to make sure the fitness and boom of fish, in the end as their farms grow. Our solution monitors different basic parameters like temperature, DO, pH, flow rate and level which are recorded then correlated with each other to find other factors like toxic ammonia, alkalinity etc. and suggest an optimized way of control. Unlike the existing system which is controlled by user using an app, our system will automictically adjusts when the parameter reaches the threshold rate and sends to user through notification. LDR is used to turn ON lights during night time so that phytoplankton can generate oxygen during night too if required. A website will be created to get clear insights about the parameters. Hence all these factors contribute to better yield and income.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122755927","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 : 2022-03-09DOI: 10.1109/ESCI53509.2022.9758194
Swati K. Warungase, M. Bhatkar
The implementation of Distributed Generations (DGs) is increasing these days, and they are being utilized in distribution networks with the primary objective of improving system dependability. Also, any operational engineer may defend a power system, which is usually done through online security analysis, i.e. contingency analysis (CA). CA is a tool for analyzing the consequences of various outages like transformer, transmission lines, and other component failing. The Newton Raphson load flow method is used which is the finest load flow technique because it delivers correct results in less time, was used in this study to compute 5-bus system responses. Active power indices and voltage performance indices for single line outage on a five-bus system. Contingency Ranking has been done based on values of overall performance indices. Impact on bus voltage and active power flow has been analyzed before and after single line outages of most severe line contingency. Optimal placement of DGs has been done on ranked bus and line loss reduction has been evaluated. In MATLAB, the method's efficacy was evaluated on the IEEE-5 Bus system. This CA will be helpful to operating engineer for knowing which transmission line outage is severe to take the appropriate action which is risky in the system and with this earlier action can be taken to curtail the cause of breakdown of that specific line.
{"title":"Line Loss Reduction with Optimal Placement of DGs by using Contingency Analysis of 5 bus system","authors":"Swati K. Warungase, M. Bhatkar","doi":"10.1109/ESCI53509.2022.9758194","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758194","url":null,"abstract":"The implementation of Distributed Generations (DGs) is increasing these days, and they are being utilized in distribution networks with the primary objective of improving system dependability. Also, any operational engineer may defend a power system, which is usually done through online security analysis, i.e. contingency analysis (CA). CA is a tool for analyzing the consequences of various outages like transformer, transmission lines, and other component failing. The Newton Raphson load flow method is used which is the finest load flow technique because it delivers correct results in less time, was used in this study to compute 5-bus system responses. Active power indices and voltage performance indices for single line outage on a five-bus system. Contingency Ranking has been done based on values of overall performance indices. Impact on bus voltage and active power flow has been analyzed before and after single line outages of most severe line contingency. Optimal placement of DGs has been done on ranked bus and line loss reduction has been evaluated. In MATLAB, the method's efficacy was evaluated on the IEEE-5 Bus system. This CA will be helpful to operating engineer for knowing which transmission line outage is severe to take the appropriate action which is risky in the system and with this earlier action can be taken to curtail the cause of breakdown of that specific line.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117106064","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 : 2022-03-09DOI: 10.1109/ESCI53509.2022.9758255
S. Patil, A. J. Patil
Exponentially increasing demand of bandwidth forcing the future wireless systems to have spectrum efficiency, cost reduction, service quality optimization, and transparent operation across wireless networks. Spectrum scarcity is alleviated by cognitive radio and promises to improve temporal spectral efficiency. The collaborative communication increases accuracy & throughput of CR. Further, Cooperative communication with smart antennas extends CR in both space and time. A CR based on smart antennas is both adaptable and non-intrusive, is being investigated in this paper. The suggested method utilizes beam forming to improve spectrum sharing between primary and cognitive users. Cognitive transmitters with SA are designed to minimize interference to the main receiver. Result shows successful transmission rate of CR user, thus improving spectrum utilization.
{"title":"Use Of Smart Antennas for Collaborative Spectrum Sensing in Cognitive Radio","authors":"S. Patil, A. J. Patil","doi":"10.1109/ESCI53509.2022.9758255","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758255","url":null,"abstract":"Exponentially increasing demand of bandwidth forcing the future wireless systems to have spectrum efficiency, cost reduction, service quality optimization, and transparent operation across wireless networks. Spectrum scarcity is alleviated by cognitive radio and promises to improve temporal spectral efficiency. The collaborative communication increases accuracy & throughput of CR. Further, Cooperative communication with smart antennas extends CR in both space and time. A CR based on smart antennas is both adaptable and non-intrusive, is being investigated in this paper. The suggested method utilizes beam forming to improve spectrum sharing between primary and cognitive users. Cognitive transmitters with SA are designed to minimize interference to the main receiver. Result shows successful transmission rate of CR user, thus improving spectrum utilization.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121837108","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 : 2022-03-09DOI: 10.1109/ESCI53509.2022.9758340
T. Parbat, Honey Jain, Rohan S Benhal
Although the risk factors for diabetic retinopathy (DR) have been thoroughly investigated in previous studies, it is still unclear which risk factors are more closely associated with DR than others. The possibility that we will be able to differentiate the DR related hazard factors with more precision means that we will be able to conduct early avoidance strategies for diabetic retinopathy in the most at-risk populations. The purpose of this investigation is to investigate and analyse the many predictive mechanisms for diabetic retinopathy (DR) in diabetes mellitus using data mining approaches such as support vector machines, decision trees, artificial neural networks, and logistic regressions, among others.
{"title":"An Analytical Perspective for Diabetic Retinopathy Using Convolutional Neural Network","authors":"T. Parbat, Honey Jain, Rohan S Benhal","doi":"10.1109/ESCI53509.2022.9758340","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758340","url":null,"abstract":"Although the risk factors for diabetic retinopathy (DR) have been thoroughly investigated in previous studies, it is still unclear which risk factors are more closely associated with DR than others. The possibility that we will be able to differentiate the DR related hazard factors with more precision means that we will be able to conduct early avoidance strategies for diabetic retinopathy in the most at-risk populations. The purpose of this investigation is to investigate and analyse the many predictive mechanisms for diabetic retinopathy (DR) in diabetes mellitus using data mining approaches such as support vector machines, decision trees, artificial neural networks, and logistic regressions, among others.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121852272","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 : 2022-03-09DOI: 10.1109/ESCI53509.2022.9758239
Shivani Wadhwa, Gagandeep
Nowadays, the decentralized and distributed nature of blockchain in IoT platforms is gaining lot of acceptance. PoW is the most commonly used consensus approach in blockchain. But energy requirements of consensus approaches is very high. Due to which the implementation of blockchain in IoT becomes very difficult. To solve the problem of resource constrained devices, we proposed modified consensus approach for non-cooperative IoT blockchain platform. Our scheme also works like PoW for specific period of time and checks for the count of leading zeroes given by block manager. IoT network is divided into regions and each region contains regional head for interaction with the block manager. Usecase of e-healthcare is also provided to explain the scenario of our scheme. Energy consumption, consensus time, and latency are the performance parameters taken into consideration.
{"title":"Lightweight Modified Consensus Approach in IoT Blockchain","authors":"Shivani Wadhwa, Gagandeep","doi":"10.1109/ESCI53509.2022.9758239","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758239","url":null,"abstract":"Nowadays, the decentralized and distributed nature of blockchain in IoT platforms is gaining lot of acceptance. PoW is the most commonly used consensus approach in blockchain. But energy requirements of consensus approaches is very high. Due to which the implementation of blockchain in IoT becomes very difficult. To solve the problem of resource constrained devices, we proposed modified consensus approach for non-cooperative IoT blockchain platform. Our scheme also works like PoW for specific period of time and checks for the count of leading zeroes given by block manager. IoT network is divided into regions and each region contains regional head for interaction with the block manager. Usecase of e-healthcare is also provided to explain the scenario of our scheme. Energy consumption, consensus time, and latency are the performance parameters taken into consideration.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130665474","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 : 2022-03-09DOI: 10.1109/ESCI53509.2022.9758349
Priyanka Prabhakaran, S. Anandakumar, E. Priyanka
Railways have been expanding its roots since their inception from conventional ballasted rail systems to ballastless metro's and high-speed rail. Metro rail systems are predicted to revolutionise the transportation sector's outlook practically in every metropolitan city catering to the needs of day-to-day routine traffic essence. In order to provide fast and efficient transportation modes the railways are dependent on moving and non-moving components. One among the major non movable component is said to be the railway tracks commonly known as railroad systems. Railroad systems are prone to regular maintenance interventions depending on traffic intensity and various other external factors namely rail temperature, climatic variations etc. Periodic and corrective maintenance activities are disrupted by service runs during daytime and hence they are planned to be performed overnight. In order to perform effective railroad maintenance a proper schedule is required along with the intervention requirement rate. The study adopts clustering algorithm to identify the probability of intervention rates by categorizing the maintenance interventions into three probability levels namely low, medium, and high. The results of the study indicate that the segments falling in the category of medium levels require higher maintenance intervention than the high and low severity levels.
{"title":"Railroad Maintenance Predictor System for Metro Railroad Systems","authors":"Priyanka Prabhakaran, S. Anandakumar, E. Priyanka","doi":"10.1109/ESCI53509.2022.9758349","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758349","url":null,"abstract":"Railways have been expanding its roots since their inception from conventional ballasted rail systems to ballastless metro's and high-speed rail. Metro rail systems are predicted to revolutionise the transportation sector's outlook practically in every metropolitan city catering to the needs of day-to-day routine traffic essence. In order to provide fast and efficient transportation modes the railways are dependent on moving and non-moving components. One among the major non movable component is said to be the railway tracks commonly known as railroad systems. Railroad systems are prone to regular maintenance interventions depending on traffic intensity and various other external factors namely rail temperature, climatic variations etc. Periodic and corrective maintenance activities are disrupted by service runs during daytime and hence they are planned to be performed overnight. In order to perform effective railroad maintenance a proper schedule is required along with the intervention requirement rate. The study adopts clustering algorithm to identify the probability of intervention rates by categorizing the maintenance interventions into three probability levels namely low, medium, and high. The results of the study indicate that the segments falling in the category of medium levels require higher maintenance intervention than the high and low severity levels.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127982919","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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