Pub Date : 2021-05-30DOI: 10.35940/IJRTE.A5898.0510121
Mandi Akif Hussain*, Revoori Veeharika Reddy, Kedharnath Nagella, S. Vidya
Software Engineering is a branch of computer science that enables tight communication between system software and training it as per the requirement of the user. We have selected seven distinct algorithms from machine learning techniques and are going to test them using the data sets acquired for NASA public promise repositories. The results of our project enable the users of this software to bag up the defects are selecting the most efficient of given algorithms in doing their further respective tasks, resulting in effective results.
{"title":"Software Defect Estimation using Machine Learning Algorithms","authors":"Mandi Akif Hussain*, Revoori Veeharika Reddy, Kedharnath Nagella, S. Vidya","doi":"10.35940/IJRTE.A5898.0510121","DOIUrl":"https://doi.org/10.35940/IJRTE.A5898.0510121","url":null,"abstract":"Software Engineering is a branch of computer\u0000science that enables tight communication between system\u0000software and training it as per the requirement of the user. We\u0000have selected seven distinct algorithms from machine learning\u0000techniques and are going to test them using the data sets\u0000acquired for NASA public promise repositories. The results of\u0000our project enable the users of this software to bag up the defects\u0000are selecting the most efficient of given algorithms in doing their\u0000further respective tasks, resulting in effective results.","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116130656","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 : 2021-03-30DOI: 10.35940/IJRTE.F5572.039621
S. Prabavathi, P. Kanmani
Our economy depends on productivity in agriculture. The quantity and quality of the yield is greatly affected by various hazardous diseases. Early-stage detection of plant disease will be very helpful to prevent severe damage. Automatic systems to detect the changes in the plants by monitoring the abnormal symptoms in its growth will be more beneficial for the farmers. This paper presents a system for automatic prediction and classification of plant leaf diseases. The survey on various diseases classification techniques that can be used for plant leaf disease detection are also discussed. The proposed system will define the cropped image of a plant through image processing and feature extraction algorithms. Enhanced CNN model is designed and applied for about 20,600 images are collected as a dataset. Optimization is done to enhance the accuracy in the system prediction and to show the improvement in the true positive samples classification. The proposed system shows the improvement in the accuracy of prediction as 93.18% for three different species with twelve different diseases.
{"title":"Plant Leaf Disease Detection and Classification using Optimized CNN Model","authors":"S. Prabavathi, P. Kanmani","doi":"10.35940/IJRTE.F5572.039621","DOIUrl":"https://doi.org/10.35940/IJRTE.F5572.039621","url":null,"abstract":"Our economy depends on productivity in agriculture. The quantity and quality of the yield is greatly affected by various hazardous diseases. Early-stage detection of plant disease will be very helpful to prevent severe damage. Automatic systems to detect the changes in the plants by monitoring the abnormal symptoms in its growth will be more beneficial for the farmers. This paper presents a system for automatic prediction and classification of plant leaf diseases. The survey on various diseases classification techniques that can be used for plant leaf disease detection are also discussed. The proposed system will define the cropped image of a plant through image processing and feature extraction algorithms. Enhanced CNN model is designed and applied for about 20,600 images are collected as a dataset. Optimization is done to enhance the accuracy in the system prediction and to show the improvement in the true positive samples classification. The proposed system shows the improvement in the accuracy of prediction as 93.18% for three different species with twelve different diseases.","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132331291","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 : 2021-02-09DOI: 10.35940/ijrte.d8710.018520
Venkata Venugopal Rao Gudlur, Vikneswara Abirama Shanmugan, S. Perumal, Radin Maya Saphira Radin Mohammed
The Industrial Internet-of-Things (IIoT) have changed the present world and future technology-based Industry 4.0, however the understanding of Industrial Internet of things (IIoT) has turned out to be big challenge as far as security concern. The main purpose of adopting and going with new technologies will bring new challenges with cybersecurity and will have more expose uncertain vulnerabilities in terms of AI and BI applications and usage with forensic investigation and accuracy of information sharing between smart devices. This paper composed on the utilization of Artificial Intelligence in securing required evidence for forensic investigation process. The legal methods are different as per region and industry, but the back-frame work and case-based thinking are similar. This framework is made from Intelligence systems such as AI and BI too dependent on the digital information from cloud server. The information from Business Intelligence (BI) and Artificial Intelligence (AI) intersects with data on cloud-based server requires more secure network process and firewall to prevent cyber intruders. This paper has discovered a few gaps on security issues and vulnerabilities where as it will cater proper IIoT based procedure for the Digital Forensic Investigation process.
{"title":"Industrial Internet of Things (IIoT) of Forensic and Vulnerabilities","authors":"Venkata Venugopal Rao Gudlur, Vikneswara Abirama Shanmugan, S. Perumal, Radin Maya Saphira Radin Mohammed","doi":"10.35940/ijrte.d8710.018520","DOIUrl":"https://doi.org/10.35940/ijrte.d8710.018520","url":null,"abstract":"The Industrial Internet-of-Things (IIoT) have changed the present world and future technology-based Industry 4.0, however the understanding of Industrial Internet of things (IIoT) has turned out to be big challenge as far as security concern. The main purpose of adopting and going with new technologies will bring new challenges with cybersecurity and will have more expose uncertain vulnerabilities in terms of AI and BI applications and usage with forensic investigation and accuracy of information sharing between smart devices. This paper composed on the utilization of Artificial Intelligence in securing required evidence for forensic investigation process. The legal methods are different as per region and industry, but the back-frame work and case-based thinking are similar. This framework is made from Intelligence systems such as AI and BI too dependent on the digital information from cloud server. The information from Business Intelligence (BI) and Artificial Intelligence (AI) intersects with data on cloud-based server requires more secure network process and firewall to prevent cyber intruders. This paper has discovered a few gaps on security issues and vulnerabilities where as it will cater proper IIoT based procedure for the Digital Forensic Investigation process.","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116388069","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 : 2021-01-30DOI: 10.35940/IJRTE.E5164.019521
P. Priya, Ran Vijay Kumar Singh
Expansive Black cotton clay soils are widely distributed worldwide, and are a significant damage to infrastructure and buildigs.It is a common practice around the world to stabilize black cotton soil using fly ash to improve the strength of stabilized sub- base and sub grade soil. Soil stabilization is the improvement of strength or bearing capacity of soil by controlled compaction, proportioning or addition of suitable admixtures or stabilizers. The Black cotton soils are extremely hard when dry, but lose its strength fully when in wet condition. In monsoon they guzzle water and swell and in summer they shrink on evaporation of water from there. Because of its high Swelling and shrinkage characteristics the black cotton soils has been a challenge to the highway engineers.So in this research paper fly ash has been used to improve the various strength properties of natural black cotton soil.The objective of this research paper is to improve the engineering properties of black cotton soil by adding different percentage of fly ash by the weight of soil and make it suitable for construction. A series of standard Proctor tests (for calculation of MDD and OMC) and California Bearing Ratio (C.B.R) tests are conducted on both raw Black cotton soil and mixed soil with different percentages of fly ash (5%, 10%, 20%, 30%) by weight. A comparison between properties of raw black cotton soil, black cotton soil mixed with fly ash are performed .It is found that the properties of black cotton soil mixed with fly ash are suitably enhanced.
{"title":"Stabilization of Black cotton soil using Fly ash","authors":"P. Priya, Ran Vijay Kumar Singh","doi":"10.35940/IJRTE.E5164.019521","DOIUrl":"https://doi.org/10.35940/IJRTE.E5164.019521","url":null,"abstract":"Expansive Black cotton clay soils are widely\u0000distributed worldwide, and are a significant damage to\u0000infrastructure and buildigs.It is a common practice around the\u0000world to stabilize black cotton soil using fly ash to improve the\u0000strength of stabilized sub- base and sub grade soil. Soil\u0000stabilization is the improvement of strength or bearing capacity of\u0000soil by controlled compaction, proportioning or addition of\u0000suitable admixtures or stabilizers. The Black cotton soils are\u0000extremely hard when dry, but lose its strength fully when in wet\u0000condition. In monsoon they guzzle water and swell and in summer\u0000they shrink on evaporation of water from there. Because of its\u0000high Swelling and shrinkage characteristics the black cotton soils\u0000has been a challenge to the highway engineers.So in this research\u0000paper fly ash has been used to improve the various strength\u0000properties of natural black cotton soil.The objective of this\u0000research paper is to improve the engineering properties of black\u0000cotton soil by adding different percentage of fly ash by the weight\u0000of soil and make it suitable for construction. A series of standard\u0000Proctor tests (for calculation of MDD and OMC) and California\u0000Bearing Ratio (C.B.R) tests are conducted on both raw Black\u0000cotton soil and mixed soil with different percentages of fly ash\u0000(5%, 10%, 20%, 30%) by weight. A comparison between properties\u0000of raw black cotton soil, black cotton soil mixed with fly ash are\u0000performed .It is found that the properties of black cotton soil\u0000mixed with fly ash are suitably enhanced.","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117026649","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 : 2021-01-30DOI: 10.35940/IJRTE.E5294.019521
Rekha Sharma, R. Yadav
Investigations pertaining to the effect of admixing different amounts of fly ash on setting characteristics and compressive strength of magnesium oxychloride cement has been carried out in this paper. For this purpose, two different dry mix compositions (1:0 and 1:1) of magnesia and dolomite were prepared and 5 %, 10 %, 15 % and 20 % fly ash were added in dry mixes. The dry mixes were then gauged with 24 °Be concentration of magnesium chloride gauging solution. It was observed that initial and final setting times of cement blocks tend to increase with increasing amount of fly ash in dry mix. MOC cement blocks of 1:1 composition admixed with fly ash displayed good cementing characteristics.
{"title":"Effect of Admixing Fly Ash on Cementing Characteristics of Magnesium Oxychloride Cement","authors":"Rekha Sharma, R. Yadav","doi":"10.35940/IJRTE.E5294.019521","DOIUrl":"https://doi.org/10.35940/IJRTE.E5294.019521","url":null,"abstract":"Investigations pertaining to the effect of admixing\u0000different amounts of fly ash on setting characteristics and\u0000compressive strength of magnesium oxychloride cement has been\u0000carried out in this paper. For this purpose, two different dry mix\u0000compositions (1:0 and 1:1) of magnesia and dolomite were\u0000prepared and 5 %, 10 %, 15 % and 20 % fly ash were added in\u0000dry mixes. The dry mixes were then gauged with 24 °Be\u0000concentration of magnesium chloride gauging solution. It was\u0000observed that initial and final setting times of cement blocks tend\u0000to increase with increasing amount of fly ash in dry mix. MOC\u0000cement blocks of 1:1 composition admixed with fly ash displayed\u0000good cementing characteristics.","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121439988","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 : 2021-01-30DOI: 10.35940/IJRTE.E5303.019521
O. OmosebiTaiwo, N. Abas
Managing plastic waste is a global challenge that challenges the protection of our ecosystem due to its high rate of generation and its non-biodegradability. PWs must, however, be carefully handled to mitigate the emissions involved with their incineration and dumping into landfills. Plastic waste can be recycled into new usable building materials. In this analysis, shredded PET waste aggregate from a recycling center was heated at 230 0C and used as a binding aggregate incomplete replacement of cement with river sand to produce floor tiles. The properties of the aggregate materials and roof tiles (including their distribution of particle size, silt, clay and dust content, relative density, water absorption, porosity, flexural and compressive strength) were tested on different PET waste: sand mixing ratio, 100%, 90%, 70%, 50%, and 30%. Results revealed that the tiles produced by 30% PET and 70% river sand (3:7) achieved higher density, flexural and compressive strength than the other percentages of the mixture. The compressive strength of the tiles produced with 30 percent PET waste composition was greater than that of cement concrete (at 28 days of curing) for residential buildings. As a result of this low water absorption and eco-friendliness, PET waste can be used for roof tiles at 30 percent PET substitution based on the test results.
{"title":"Mechanical Properties and Durability of PET waste Aggregates in Roof Tiles Production.","authors":"O. OmosebiTaiwo, N. Abas","doi":"10.35940/IJRTE.E5303.019521","DOIUrl":"https://doi.org/10.35940/IJRTE.E5303.019521","url":null,"abstract":"Managing plastic waste is a global challenge that\u0000challenges the protection of our ecosystem due to its high rate of\u0000generation and its non-biodegradability. PWs must, however, be\u0000carefully handled to mitigate the emissions involved with their\u0000incineration and dumping into landfills. Plastic waste can be\u0000recycled into new usable building materials. In this analysis,\u0000shredded PET waste aggregate from a recycling center was\u0000heated at 230 0C and used as a binding aggregate incomplete\u0000replacement of cement with river sand to produce floor tiles. The\u0000properties of the aggregate materials and roof tiles (including\u0000their distribution of particle size, silt, clay and dust content,\u0000relative density, water absorption, porosity, flexural and\u0000compressive strength) were tested on different PET waste: sand\u0000mixing ratio, 100%, 90%, 70%, 50%, and 30%. Results revealed\u0000that the tiles produced by 30% PET and 70% river sand (3:7)\u0000achieved higher density, flexural and compressive strength than\u0000the other percentages of the mixture. The compressive strength of\u0000the tiles produced with 30 percent PET waste composition was\u0000greater than that of cement concrete (at 28 days of curing) for\u0000residential buildings. As a result of this low water absorption and\u0000eco-friendliness, PET waste can be used for roof tiles at 30\u0000percent PET substitution based on the test results.","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124812473","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 : 2021-01-29DOI: 10.35940/ijrte.c5137.098319
Dipak S. Gade
Improvement in economic conditions and increased standard of living has made it possible for most of the people to own multiple vehicles for personal commute. These increased number of vehicles specifically four-wheeler and heavy vehicles while running on roads causes frequent traffic jams and longer commute time specifically in crowded areas. Unfortunately, putting restrictions on use of vehicles, cannot be the solution for such problems. Instead, a solution pertaining to efficient traffic management can help here. Today’s urban cities are prone to face traffic related problems due to increased four-wheeler and two-wheeler uses. To deal with such kind of issues, Smart Cities uses smart traffic management system, which is considered as necessity rather just a requirement. In this paper, a Smart Traffic Management System: iSMART based on IOT Sensors, image processing, GPS and Data Analytics based solution is proposed. iSMART system is not only easy to install and use but also more efficient than many other typical traffic management systems claiming to be smart. It provides route optimization planner based on real time traffic data analysis and considering various traffic situations. The paper has also discussed details of various existing traffic managements systems and their typical features.
{"title":"ICT based Smart Traffic Management System “iSMART” for Smart Cities","authors":"Dipak S. Gade","doi":"10.35940/ijrte.c5137.098319","DOIUrl":"https://doi.org/10.35940/ijrte.c5137.098319","url":null,"abstract":"Improvement in economic conditions and increased standard of living has made it possible for most of the people to own multiple vehicles for personal commute. These increased number of vehicles specifically four-wheeler and heavy vehicles while running on roads causes frequent traffic jams and longer commute time specifically in crowded areas. Unfortunately, putting restrictions on use of vehicles, cannot be the solution for such problems. Instead, a solution pertaining to efficient traffic management can help here. Today’s urban cities are prone to face traffic related problems due to increased four-wheeler and two-wheeler uses. To deal with such kind of issues, Smart Cities uses smart traffic management system, which is considered as necessity rather just a requirement. In this paper, a Smart Traffic Management System: iSMART based on IOT Sensors, image processing, GPS and Data Analytics based solution is proposed. iSMART system is not only easy to install and use but also more efficient than many other typical traffic management systems claiming to be smart. It provides route optimization planner based on real time traffic data analysis and considering various traffic situations. The paper has also discussed details of various existing traffic managements systems and their typical features.","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132725394","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 : 2020-12-30DOI: 10.35940/ijrte.e5905.018520
Blockchain technology is evolving in each area. Cryptocurrency is one of the prominent fields in which blockchain technology is used extensively. In conventional bank systems using fiat currencies such as Indian rupee, US dollar etc , there is a centralized authority like a bank which do the processing of transactions. Blockchain with its properties like decentralization, distributed, and immutability stands the way out from other transaction processing mechanisms. Moreover, with decentralization property in blockchain-based transactions makes that there is a peer-to-peer network in which one peer can able to transact with others in the network without relying on third party for validating the transactions. Instead, there are a group of miners who does the work of validation with the use of consensus protocols. The paper shows the use of blockchain technology in financial transactions with the help of tokens. The paper shows the creation of a simulated blockchain network and the transaction processing mechanism with the help of the creation of nodes. This paper shows the implementation of blockchain technology and it also shows the limitations and misconceptions involved in blockchain technology
{"title":"Enhancing Financial Transactions using Blockchain Technology","authors":"","doi":"10.35940/ijrte.e5905.018520","DOIUrl":"https://doi.org/10.35940/ijrte.e5905.018520","url":null,"abstract":"Blockchain technology is evolving in each area. Cryptocurrency is one of the prominent fields in which blockchain technology is used extensively. In conventional bank systems using fiat currencies such as Indian rupee, US dollar etc , there is a centralized authority like a bank which do the processing of transactions. Blockchain with its properties like decentralization, distributed, and immutability stands the way out from other transaction processing mechanisms. Moreover, with decentralization property in blockchain-based transactions makes that there is a peer-to-peer network in which one peer can able to transact with others in the network without relying on third party for validating the transactions. Instead, there are a group of miners who does the work of validation with the use of consensus protocols. The paper shows the use of blockchain technology in financial transactions with the help of tokens. The paper shows the creation of a simulated blockchain network and the transaction processing mechanism with the help of the creation of nodes. This paper shows the implementation of blockchain technology and it also shows the limitations and misconceptions involved in blockchain technology","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127691428","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 : 2020-07-01DOI: 10.35940/ijrte.b1003.0982s1219
Atika Gupta, Bhaskar Pant, Nidhi Mehra, D. Kapil
Credit card frauds has been a threat that has evolved as a major source of loss for the financial sectors. It has been seen in the different parts of world causing loss of billions of dollars. It is also a area which needs attention from the researchers as the task of fraud detection can be automated using the different machine learning classifiers and data science. If the frauds model encounter the fraudulent transactions it will raise an alarm to the system administrator. The paper proposes a model which uses the machine learning classifiers to detect the fraudulent transactions. The classifiers used in the paper are SVM (Support Vectore Machine ), Isolation Forest and Local Outlier. The focus of the research is to detect the fraudulent transactions to 100% and also we emphasise on the fact that no normal transaction should be detected as fraud wrongly. The process starts with preprocessing the data and then the classifers are applied. The results from each classifers is evaluated to check the one with the better performance. The performance can be increased with use of deep learning algorithms but with the rise in expennses.
{"title":"Machine Learning for Detecting Credit Card Frauds","authors":"Atika Gupta, Bhaskar Pant, Nidhi Mehra, D. Kapil","doi":"10.35940/ijrte.b1003.0982s1219","DOIUrl":"https://doi.org/10.35940/ijrte.b1003.0982s1219","url":null,"abstract":"Credit card frauds has been a threat that has\u0000evolved as a major source of loss for the financial sectors. It has\u0000been seen in the different parts of world causing loss of billions\u0000of dollars. It is also a area which needs attention from the\u0000researchers as the task of fraud detection can be automated\u0000using the different machine learning classifiers and data science.\u0000If the frauds model encounter the fraudulent transactions it will\u0000raise an alarm to the system administrator. The paper proposes a\u0000model which uses the machine learning classifiers to detect the\u0000fraudulent transactions. The classifiers used in the paper are\u0000SVM (Support Vectore Machine ), Isolation Forest and Local\u0000Outlier. The focus of the research is to detect the fraudulent\u0000transactions to 100% and also we emphasise on the fact that no\u0000normal transaction should be detected as fraud wrongly. The\u0000process starts with preprocessing the data and then the classifers\u0000are applied. The results from each classifers is evaluated to\u0000check the one with the better performance. The performance can\u0000be increased with use of deep learning algorithms but with the\u0000rise in expennses.","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"501 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129054174","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 : 2020-07-01DOI: 10.35940/ijrte.b1014.0982s1219
Shipra Gupta, Rupali Khanna
Banking sector has a vital role in Indian economy and a great change came in it after nationalization. Nationwide, there are a number of branches of banks and financial institutions have opened. Presently banking sector is facing a high level competition. Banks or financial Institutions which have maximum profit are showing maximum growth rate. By optimization of the resources of banks, cost becomes minimum and profit becomes maximum. This manuscript is an effort to make a comparative study between SBI, PNB and OBC for total income, expenses, net profit, share capital, operating expenses, share holder funds, total reserves, earning per share, total liabilities, total assets and total investments from 2014-19. Year over Year (YOY) and Compound annual growth rate (CAGR) analytical methods are used. The main parameter of this study belongs to P&L and Balance-Sheet statement of the selected banks. This research paper will be very fruitful for banks, research scholars, investors (public), and society to understand about the above given parameters.
{"title":"Comparison of Selected Public Sector Banks in Different Aspects by using CAGR Method","authors":"Shipra Gupta, Rupali Khanna","doi":"10.35940/ijrte.b1014.0982s1219","DOIUrl":"https://doi.org/10.35940/ijrte.b1014.0982s1219","url":null,"abstract":"Banking sector has a vital role in Indian economy\u0000and a great change came in it after nationalization. Nationwide,\u0000there are a number of branches of banks and financial\u0000institutions have opened. Presently banking sector is facing a\u0000high level competition. Banks or financial Institutions which\u0000have maximum profit are showing maximum growth rate. By\u0000optimization of the resources of banks, cost becomes minimum\u0000and profit becomes maximum. This manuscript is an effort to\u0000make a comparative study between SBI, PNB and OBC for total\u0000income, expenses, net profit, share capital, operating expenses,\u0000share holder funds, total reserves, earning per share, total\u0000liabilities, total assets and total investments from 2014-19. Year\u0000over Year (YOY) and Compound annual growth rate (CAGR)\u0000analytical methods are used. The main parameter of this study\u0000belongs to P&L and Balance-Sheet statement of the selected\u0000banks. This research paper will be very fruitful for banks,\u0000research scholars, investors (public), and society to understand\u0000about the above given parameters.","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127604013","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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