Expanded polystyrene (EPS) wastes are generated from industries and post-consumer products. They are non-biodegradable but are usually disposed by burning or landfilling leading to environmental pollution. The possibility of using EPS as partial replacement for fine aggregates in concrete has generated research interests in recent times. However, since the physical and mechanical properties of EPS are not like those of conventional fine aggregates, this study is focussed on the use of EPS as an additive in concrete while keeping other composition (sand and granite) constant. Expanded polystyrene was milled, the bulk density of EPS was 10.57kg/m3 and particle size distributions were determined. Engineering properties of expanded polystyrene concrete were determined in accordance with BS 8110-2:1985. The result showed that the amount of expanded polystyrene incorporated in concrete influence the properties of hardened and fresh concrete. The compressive strengths of 17.07MPa with 5 % expanded polystyrene concrete at 28 days for example can be used as a lightweight concrete for partitioning in offices. Incorporating expanded polystyrene granules in a concrete matrix can produce lightweight polystyrene aggregate concrete of various densities, compressive strengths, flexural strengths and tensile strengths. In conclusion, this reduces environmental pollution, reduction in valuable landfill space and also for sustainability in construction companies
{"title":"Structural Use of Expanded Polystyrene Concrete","authors":"Adeniran Jolaade Adeala, Olugbenga Babajide Soyem","doi":"10.38124/ijisrt20jun849","DOIUrl":"https://doi.org/10.38124/ijisrt20jun849","url":null,"abstract":"Expanded polystyrene (EPS) wastes are generated from industries and post-consumer products. They are non-biodegradable but are usually disposed by burning or landfilling leading to environmental pollution. The possibility of using EPS as partial replacement for fine aggregates in concrete has generated research interests in recent times. However, since the physical and mechanical properties of EPS are not like those of conventional fine aggregates, this study is focussed on the use of EPS as an additive in concrete while keeping other composition (sand and granite) constant. Expanded polystyrene was milled, the bulk density of EPS was 10.57kg/m3 and particle size distributions were determined. Engineering properties of expanded polystyrene concrete were determined in accordance with BS 8110-2:1985. The result showed that the amount of expanded polystyrene incorporated in concrete influence the properties of hardened and fresh concrete. The compressive strengths of 17.07MPa with 5 % expanded polystyrene concrete at 28 days for example can be used as a lightweight concrete for partitioning in offices. Incorporating expanded polystyrene granules in a concrete matrix can produce lightweight polystyrene aggregate concrete of various densities, compressive strengths, flexural strengths and tensile strengths. In conclusion, this reduces environmental pollution, reduction in valuable landfill space and also for sustainability in construction companies","PeriodicalId":355617,"journal":{"name":"International Journal of Innovative Science and Research Technology","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130395166","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}
G. Karunasena, H. Priyankara, B. G. D. A. Madushanka
Rice grain quality inspection is a major process in rice production. To provide quality and accurate results in rice grain analyzing it is important to analyze rice grains one by one in a testing sample. In the current situation, most of rice grain producers inspect rice grains manually without using any automated process. The major problem is the accuracy of testing results depends on human quality because manually processes include human errors. The manual inspection of rice grains is a very complicated and time-consuming process due to these reasons most of the inspector's effect by external factors such as fatigue, tension etc. In this research, we provide a time-efficient and low-cost solution for reducing above-mentioned limitations by developing software. It uses modern image processing to analyze rice grains one by one efficiently over the manual examination. The quality of rice samples can be determined with the help of colour, and geometric features such as area, maximum length, maximum width and aspect ratio. This analyzing system designed and developed for measure area, maximum length, maximum width and aspect ratio by using Java programming language, morphological and colour operations in computer vision and finally the accuracy of the system tested by comparing manually tested sample and results from the system. According to the results, it shows this system provides more than 85 percent accuracy with confirming this was a better solution
{"title":"Machine Vision Techniques for Improve Rice Grain Quality Analyzing Process","authors":"G. Karunasena, H. Priyankara, B. G. D. A. Madushanka","doi":"10.38124/ijisrt20jun691","DOIUrl":"https://doi.org/10.38124/ijisrt20jun691","url":null,"abstract":"Rice grain quality inspection is a major process in rice production. To provide quality and accurate results in rice grain analyzing it is important to analyze rice grains one by one in a testing sample. In the current situation, most of rice grain producers inspect rice grains manually without using any automated process. The major problem is the accuracy of testing results depends on human quality because manually processes include human errors. The manual inspection of rice grains is a very complicated and time-consuming process due to these reasons most of the inspector's effect by external factors such as fatigue, tension etc. In this research, we provide a time-efficient and low-cost solution for reducing above-mentioned limitations by developing software. It uses modern image processing to analyze rice grains one by one efficiently over the manual examination. The quality of rice samples can be determined with the help of colour, and geometric features such as area, maximum length, maximum width and aspect ratio. This analyzing system designed and developed for measure area, maximum length, maximum width and aspect ratio by using Java programming language, morphological and colour operations in computer vision and finally the accuracy of the system tested by comparing manually tested sample and results from the system. According to the results, it shows this system provides more than 85 percent accuracy with confirming this was a better solution","PeriodicalId":355617,"journal":{"name":"International Journal of Innovative Science and Research Technology","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130251126","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}
Patal - Pusri Intersection is one of the intersections in Palembang with heavy traffic flow and frequent traffic jams. The existence of Underpass construction, apparently could not be a complete solution to unravel traffic congestion. The purpose of this research is to analyze five alternative scenario plans to disentangled the vehicle density, congestion, and reduce pollution from exhaust emissions caused by vehicle density. This research was conducted using VISSIM Microsimulation Program assistance to simulate existing alternative scenarios and to analyze the effect of these alternative scenarios on reducing vehicle exhaust emissions using the EnViVer Program assistance. The results showed that the fifth alternative scenario as the flyover construction, geometric changes at the intersection’s leg crossing, and traffic lights rearrangement became the most effective alternative and was able to parse vehicle density and traffic congestion, and was able to reduce exhaust emissions by 32.36%. This was shown by the reduction in queue length by 44% and the delay times by 57.05%, and the reduction in exhaust emissions in the form of carbon dioxide (CO2) by 35.5%, nitrogen oxides (NOx) by 43%, and particulate matter (PM10) ) by 18.6% at the intersection significantly.
{"title":"Analysis of Flyover Construction Effect to Increase Traffic Services and Reduce Exhaust Emissions at an Intersection","authors":"L. Triani, J. Arliansyah, M. Agustien","doi":"10.38124/ijisrt20jun827","DOIUrl":"https://doi.org/10.38124/ijisrt20jun827","url":null,"abstract":"Patal - Pusri Intersection is one of the intersections in Palembang with heavy traffic flow and frequent traffic jams. The existence of Underpass construction, apparently could not be a complete solution to unravel traffic congestion. The purpose of this research is to analyze five alternative scenario plans to disentangled the vehicle density, congestion, and reduce pollution from exhaust emissions caused by vehicle density. This research was conducted using VISSIM Microsimulation Program assistance to simulate existing alternative scenarios and to analyze the effect of these alternative scenarios on reducing vehicle exhaust emissions using the EnViVer Program assistance. The results showed that the fifth alternative scenario as the flyover construction, geometric changes at the intersection’s leg crossing, and traffic lights rearrangement became the most effective alternative and was able to parse vehicle density and traffic congestion, and was able to reduce exhaust emissions by 32.36%. This was shown by the reduction in queue length by 44% and the delay times by 57.05%, and the reduction in exhaust emissions in the form of carbon dioxide (CO2) by 35.5%, nitrogen oxides (NOx) by 43%, and particulate matter (PM10) ) by 18.6% at the intersection significantly.","PeriodicalId":355617,"journal":{"name":"International Journal of Innovative Science and Research Technology","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134624872","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 : 2020-07-07DOI: 10.17577/ijertv9is070085
J. M. John, Noel Philip Isaac, Jerin Thomas, Subin Alexander, B. S. Syamraj
This paper details fully automated vehicle security system involving vehicle model, make detection, driver face recognition and parking system guided by a virtual assistant. The core technology of the system is built using a sequence of deep Convolutional Neural Networks (CNNs). This system performs face recognition of the driver and vehicle model, make detection and permit access by opening barrier gate. This allows bigger organizations to control and monitor vehicle traffic as well as gain user data for security purpose. For quantitive analysis, we show that our system outperforms the leading vehicle security system. Proposed paper project website is also available at http://www.astound.ga/igns.
{"title":"Improvised Guard for Next Level Security Automated Vehicle Security System using Artificial Intelligence and Convolutional Neural Network","authors":"J. M. John, Noel Philip Isaac, Jerin Thomas, Subin Alexander, B. S. Syamraj","doi":"10.17577/ijertv9is070085","DOIUrl":"https://doi.org/10.17577/ijertv9is070085","url":null,"abstract":"This paper details fully automated vehicle security system involving vehicle model, make detection, driver face recognition and parking system guided by a virtual assistant. The core technology of the system is built using a sequence of deep Convolutional Neural Networks (CNNs). This system performs face recognition of the driver and vehicle model, make detection and permit access by opening barrier gate. This allows bigger organizations to control and monitor vehicle traffic as well as gain user data for security purpose. For quantitive analysis, we show that our system outperforms the leading vehicle security system. Proposed paper project website is also available at http://www.astound.ga/igns.","PeriodicalId":355617,"journal":{"name":"International Journal of Innovative Science and Research Technology","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123802278","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}
Coffee has become a lifestyle requirement for people in Jakarta. Many new businesses take advantage of this opportunity; one of them is FamilyMart. FamilyMart is a Japanese retail company that also sells food and beverages, one of the popular products is the iced Kopi Kopi Keluarga. The purpose of this research is to analyze and explain the effect of corporate image, store image, product image and price on customer satisfaction in purchasing Es Kopi Susu Keluarga. This research method uses descriptive methods and quantitative approaches using questionnaires as research instruments. The number of samples used was 59 respondents. Conclusion of the results of the analysis of this study found that the variables significantly influence the variable of customer satisfaction.
{"title":"The Effect of Brand Image and Price on Customer Satisfaction in Purchasing Es Kopi Susu Keluarga at FamilyMart Jakarta","authors":"Muhammad Sedky, S. Riyanto","doi":"10.38124/ijisrt20jun546","DOIUrl":"https://doi.org/10.38124/ijisrt20jun546","url":null,"abstract":"Coffee has become a lifestyle requirement for people in Jakarta. Many new businesses take advantage of this opportunity; one of them is FamilyMart. FamilyMart is a Japanese retail company that also sells food and beverages, one of the popular products is the iced Kopi Kopi Keluarga. The purpose of this research is to analyze and explain the effect of corporate image, store image, product image and price on customer satisfaction in purchasing Es Kopi Susu Keluarga. This research method uses descriptive methods and quantitative approaches using questionnaires as research instruments. The number of samples used was 59 respondents. Conclusion of the results of the analysis of this study found that the variables significantly influence the variable of customer satisfaction.","PeriodicalId":355617,"journal":{"name":"International Journal of Innovative Science and Research Technology","volume":"27 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116198679","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. G. Patil, Kaivalya Gajanan Mirajakar, P. L. Savekar, Chetana.V. Bugadikattikar, Somesh S. Shintre
Cough is one of the most common problem faced by all people. There are mainaly two types of cough one is dry cough and another one is wet cough. dry cough there is no mucous and secretion while in wet cough there is cough with mucous or secretion. Syrup is commonly used and popular dosage form which is used to cure cough and cold, because it having ease of patients compliance. Syrup contain Ginger macerated honey base and also Tulsi, liquorice, cardamom, fennel, adulsa, clove as an antitussive and expectorant. Quality of final herbal syrup was evaluated for pre formulation a post formulation parameter. Here by using honey base three batches were formulated having various concentration such as 35%, 40%, 45% w/v
{"title":"Formulation and Evaluation of Ginger Macerated Honey Base Herbal Cough Syrup","authors":"A. G. Patil, Kaivalya Gajanan Mirajakar, P. L. Savekar, Chetana.V. Bugadikattikar, Somesh S. Shintre","doi":"10.38124/ijisrt20jun334","DOIUrl":"https://doi.org/10.38124/ijisrt20jun334","url":null,"abstract":"Cough is one of the most common problem faced by all people. There are mainaly two types of cough one is dry cough and another one is wet cough. dry cough there is no mucous and secretion while in wet cough there is cough with mucous or secretion. Syrup is commonly used and popular dosage form which is used to cure cough and cold, because it having ease of patients compliance. Syrup contain Ginger macerated honey base and also Tulsi, liquorice, cardamom, fennel, adulsa, clove as an antitussive and expectorant. Quality of final herbal syrup was evaluated for pre formulation a post formulation parameter. Here by using honey base three batches were formulated having various concentration such as 35%, 40%, 45% w/v","PeriodicalId":355617,"journal":{"name":"International Journal of Innovative Science and Research Technology","volume":"15 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":"129061588","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}
C. Belford, Momodou Mustapha Fanneh, Sanyang Lang, Bumi Camara, Yusupha Dibba
Health care services and in particular eye care in The Gambia is plagued by exorbitant costs both direct (consultation fee, cost of medication/glasses, etc.) and indirect (cost of transportation to and from eye clinic, cost of food/sustenance during eye treatment etc.) making it luxury and barrier for the poor and vulnerable of our societies. It is for those reasons that OneSight decided to commission a survey in The Gambia. The sampling of the study was a multistage stratified cluster sampling. At each stage Probability Proportional to Size and random procedures were applied to arrive at the actual sample population of 3300 households. The study employed both quantitative and qualitative research design techniques to collect and analyze data. The finding of the study illustrated that nearly 70% of the household’s heads are willing to be the one to pay for corrective glasses should the need arise for any member of their household. 80% of the respondents reported in affirmative that there are costs required in making eyesight better. It was also disclosed that respondents are willing to pay for a pair of eye glasses GMD 0 (free eyeglasses) to GMD 20,000. The Focus Group Discussion conducted across The Gambia almost all participants unanimously recommended that the affordable cost for a pair of glasses should be GMD50.
{"title":"An Assessment of the Level of Affordability of Eye Health Care Services and Products in the Gambia – Case Study Onesight","authors":"C. Belford, Momodou Mustapha Fanneh, Sanyang Lang, Bumi Camara, Yusupha Dibba","doi":"10.38124/ijisrt20jun153","DOIUrl":"https://doi.org/10.38124/ijisrt20jun153","url":null,"abstract":"Health care services and in particular eye care in The Gambia is plagued by exorbitant costs both direct (consultation fee, cost of medication/glasses, etc.) and indirect (cost of transportation to and from eye clinic, cost of food/sustenance during eye treatment etc.) making it luxury and barrier for the poor and vulnerable of our societies. It is for those reasons that OneSight decided to commission a survey in The Gambia. The sampling of the study was a multistage stratified cluster sampling. At each stage Probability Proportional to Size and random procedures were applied to arrive at the actual sample population of 3300 households. The study employed both quantitative and qualitative research design techniques to collect and analyze data. The finding of the study illustrated that nearly 70% of the household’s heads are willing to be the one to pay for corrective glasses should the need arise for any member of their household. 80% of the respondents reported in affirmative that there are costs required in making eyesight better. It was also disclosed that respondents are willing to pay for a pair of eye glasses GMD 0 (free eyeglasses) to GMD 20,000. The Focus Group Discussion conducted across The Gambia almost all participants unanimously recommended that the affordable cost for a pair of glasses should be GMD50.","PeriodicalId":355617,"journal":{"name":"International Journal of Innovative Science and Research Technology","volume":"77 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":"134194212","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 purpose of this study is to analyse the climate change supportive administrative services provided by principals for effective classroom management in public and private secondary schools in Anambra State. The area of this study is Anambra state and the descriptive survey research design was used. There are six education zones namely Aguata, Awka, Nnewi, Ogidi, Onitsha, and Otuocha education zones. The population for this study comprised 15,990 respondents made up of 6,293 teachers in the 256 public secondary schools and 9,697 teachers in the 481 registered private secondary schools in Anambra state. The sample size for this study is 852 teachers. The instrument for data collection is a structured questionnaire developed by the researchers. The questionnaire was subjected to face validation using three experts who are lecturers. The reliability of the instrument was established using 100 teachers (50 in private secondary schools and 50 in public secondary schools) in 20 secondary schools in Enugu state. Cronbach alpha method was used to determine reliability of the items because the instrument is homogeneously structured. The reliability coefficient of the instrument was 0.74. The instrument was administered on the respondents directly by the researchers with the help of eight research assistants who are teachers in the various schools sampled. All the 852 copies of the questionnaire were correctly filled and retrieved. They were collated and subjected to statistical analysis. Data collected were analyzed using mean ratings to answer the research questions and t- test to test the hypotheses at 0.05 level of significance.
{"title":"Principals’ Climate Change Supportive Administrative Services for Effective Classroom Management in Public and Private Secondary Schools in Anambra State","authors":"Okoye, Chinasa Regina, Prof. A. S. Omenyi","doi":"10.38124/ijisrt20jun168","DOIUrl":"https://doi.org/10.38124/ijisrt20jun168","url":null,"abstract":"The purpose of this study is to analyse the climate change supportive administrative services provided by principals for effective classroom management in public and private secondary schools in Anambra State. The area of this study is Anambra state and the descriptive survey research design was used. There are six education zones namely Aguata, Awka, Nnewi, Ogidi, Onitsha, and Otuocha education zones. The population for this study comprised 15,990 respondents made up of 6,293 teachers in the 256 public secondary schools and 9,697 teachers in the 481 registered private secondary schools in Anambra state. The sample size for this study is 852 teachers. The instrument for data collection is a structured questionnaire developed by the researchers. The questionnaire was subjected to face validation using three experts who are lecturers. The reliability of the instrument was established using 100 teachers (50 in private secondary schools and 50 in public secondary schools) in 20 secondary schools in Enugu state. Cronbach alpha method was used to determine reliability of the items because the instrument is homogeneously structured. The reliability coefficient of the instrument was 0.74. The instrument was administered on the respondents directly by the researchers with the help of eight research assistants who are teachers in the various schools sampled. All the 852 copies of the questionnaire were correctly filled and retrieved. They were collated and subjected to statistical analysis. Data collected were analyzed using mean ratings to answer the research questions and t- test to test the hypotheses at 0.05 level of significance.","PeriodicalId":355617,"journal":{"name":"International Journal of Innovative Science and Research Technology","volume":"2020 44","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114087723","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}
B. O. Akumba, S. Otor, I. Agaji, Barnabas T. Akumba
The initial stage of the software development lifecycle is the requirement gathering and analysis phase. Predicting risk at this phase is very crucial because cost and efforts can be saved while improving the quality and efficiency of the software to be developed. The datasets for software requirements risk prediction have been adopted in this paper to predict the risk levels across the software projects and to ascertain the attributes that contribute to the recognized risk in the software projects. A supervised machine learning technique was used to predict the risk across the projects using Naïve Bayes Classifier technique. The model was able to predict the risks across the projects and the performance metrics of the risk attributes were evaluated. The model predicted four (4) as Catastrophic, eleven (11) as High, eighteen (18) as Moderate, thirty-three (33) as Low and seven (7) as insignificant. The overall confusion matrix statistics on the risk levels prediction by the model had accuracy to be 98% with confidence interval (CI) of 95% and Kappa 97%.
{"title":"A Predictive Risk Model for Software Projects’\u0000Requirement Gathering Phase","authors":"B. O. Akumba, S. Otor, I. Agaji, Barnabas T. Akumba","doi":"10.38124/ijisrt20jun066","DOIUrl":"https://doi.org/10.38124/ijisrt20jun066","url":null,"abstract":"The initial stage of the software development lifecycle is the requirement gathering and analysis phase. Predicting risk at this phase is very crucial because cost and efforts can be saved while improving the quality and efficiency of the software to be developed. The datasets for software requirements risk prediction have been adopted in this paper to predict the risk levels across the software projects and to ascertain the attributes that contribute to the recognized risk in the software projects. A supervised machine learning technique was used to predict the risk across the projects using Naïve Bayes Classifier technique. The model was able to predict the risks across the projects and the performance metrics of the risk attributes were evaluated. The model predicted four (4) as Catastrophic, eleven (11) as High, eighteen (18) as Moderate, thirty-three (33) as Low and seven (7) as insignificant. The overall confusion matrix statistics on the risk levels prediction by the model had accuracy to be 98% with confidence interval (CI) of 95% and Kappa 97%.","PeriodicalId":355617,"journal":{"name":"International Journal of Innovative Science and Research Technology","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117039467","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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