International Journal of Advanced Trends in Computer Science and Engineering, 2021
In universities, student dropout is a major concern that reflects the university's quality. S... more In universities, student dropout is a major concern that reflects the university's quality. Some characteristics cause students to drop out of university. A high dropout rate of students affects the university's reputation and the student's careers in the future. Therefore, there's a requirement for student dropout analysis to enhance academic plan and management to scale back student's drop out from the university also on enhancing the standard of the upper education system. The machine learning technique provides powerful methods for the analysis and therefore the prediction of the dropout. This study uses a dataset from a university representative to develop a model for predicting student dropout. In this work, machine- learning models were used to detect dropout rates. Machine learning is being more widely used in the field of knowledge mining diagnostics. Following an examination of certain studies, we observed that dropout detection may be done using severa...
International Journal of Computer Applications, 2020
Wireless medium is open to all. Hence it is always acceptable to threats and attacks. GSM being a... more Wireless medium is open to all. Hence it is always acceptable to threats and attacks. GSM being a wireless network is always prone to the unauthorized access to the network and entrustment to the privacy and confidentiality of the users. Therefore, the GSM provides security measures to ensure the privacy and confidentiality of the users to ensure that only registered and authorized users get the access to the network. This paper briefly presents the security measures of GSM technology. The study is enriched with a general overview of GSM protection and the algorithms that are mainly used in A3, A5 and A8. Author’s also discussed the authentication and encryption methods provided by GSM. A3 for MS authentication algorithm. A5 for powerful over wind voice privacy algorithms. A8 for voice privacy key generation algorithm.
Our current banking system is based on a central server where every branch is connected to each o... more Our current banking system is based on a central server where every branch is connected to each other. If the server made any changes to the data of a branch then other branches get affected. In this system, Corruption can be easily occurred because of unauthorized access which is totally insecure in transaction systems. But, Blockchain is a secure system where the transactional history regarding crypto-currency cannot be modified or destructed. Since 2008, Blockchain has gained immense interest due to exclusion of third-party organization participation in monitoring of the transactions. Ethereum is a protocol which is based on Blockchain technology and has several benefits over other crypto-currency based system and is best suited for creating a secure lending system. Every Ethereum based system runs on 'Smart-Contracts' which are lines of code and makes the system automated. As the system gets automated, proper algorithms can make the system reliable and secure as each and every step of the system is maintained and executed by the algorithm inside the Smart-Contracts. Blockchain systems work with peer-to-peer networks and also uses a consensus algorithm that's why there is no possibility of data modification.
International Journal of Advanced Trends in Computer Science and Engineering, 2021
In universities, student dropout is a major concern that reflects the university's quality. Some ... more In universities, student dropout is a major concern that reflects the university's quality. Some characteristics cause students to drop out of university. A high dropout rate of students affects the university's reputation and the student's careers in the future. Therefore, there's a requirement for student dropout analysis to enhance academic plan and management to scale back student's drop out from the university also on enhancing the standard of the upper education system. The machine learning technique provides powerful methods for the analysis and therefore the prediction of the dropout. This study uses a dataset from a university representative to develop a model for predicting student dropout. In this work, machinelearning models were used to detect dropout rates. Machine learning is being more widely used in the field of knowledge mining diagnostics. Following an examination of certain studies, we observed that dropout detection may be done using several methods. We've even used five dropout detection models. These models are Decision tree, Naïve bayes, Random Forest Classifier, SVM and KNN. We used machine-learning technology to analyze the data, and we discovered that the Random Forest classifier is highly promising for predicting dropout rates, with a training accuracy of 94% and a testing accuracy of 86%.
International Journal of Advanced Trends in Computer Science and Engineering, 2021
In universities, student dropout is a major concern that reflects the university's quality. S... more In universities, student dropout is a major concern that reflects the university's quality. Some characteristics cause students to drop out of university. A high dropout rate of students affects the university's reputation and the student's careers in the future. Therefore, there's a requirement for student dropout analysis to enhance academic plan and management to scale back student's drop out from the university also on enhancing the standard of the upper education system. The machine learning technique provides powerful methods for the analysis and therefore the prediction of the dropout. This study uses a dataset from a university representative to develop a model for predicting student dropout. In this work, machine- learning models were used to detect dropout rates. Machine learning is being more widely used in the field of knowledge mining diagnostics. Following an examination of certain studies, we observed that dropout detection may be done using severa...
International Journal of Computer Applications, 2020
Wireless medium is open to all. Hence it is always acceptable to threats and attacks. GSM being a... more Wireless medium is open to all. Hence it is always acceptable to threats and attacks. GSM being a wireless network is always prone to the unauthorized access to the network and entrustment to the privacy and confidentiality of the users. Therefore, the GSM provides security measures to ensure the privacy and confidentiality of the users to ensure that only registered and authorized users get the access to the network. This paper briefly presents the security measures of GSM technology. The study is enriched with a general overview of GSM protection and the algorithms that are mainly used in A3, A5 and A8. Author’s also discussed the authentication and encryption methods provided by GSM. A3 for MS authentication algorithm. A5 for powerful over wind voice privacy algorithms. A8 for voice privacy key generation algorithm.
Our current banking system is based on a central server where every branch is connected to each o... more Our current banking system is based on a central server where every branch is connected to each other. If the server made any changes to the data of a branch then other branches get affected. In this system, Corruption can be easily occurred because of unauthorized access which is totally insecure in transaction systems. But, Blockchain is a secure system where the transactional history regarding crypto-currency cannot be modified or destructed. Since 2008, Blockchain has gained immense interest due to exclusion of third-party organization participation in monitoring of the transactions. Ethereum is a protocol which is based on Blockchain technology and has several benefits over other crypto-currency based system and is best suited for creating a secure lending system. Every Ethereum based system runs on 'Smart-Contracts' which are lines of code and makes the system automated. As the system gets automated, proper algorithms can make the system reliable and secure as each and every step of the system is maintained and executed by the algorithm inside the Smart-Contracts. Blockchain systems work with peer-to-peer networks and also uses a consensus algorithm that's why there is no possibility of data modification.
International Journal of Advanced Trends in Computer Science and Engineering, 2021
In universities, student dropout is a major concern that reflects the university's quality. Some ... more In universities, student dropout is a major concern that reflects the university's quality. Some characteristics cause students to drop out of university. A high dropout rate of students affects the university's reputation and the student's careers in the future. Therefore, there's a requirement for student dropout analysis to enhance academic plan and management to scale back student's drop out from the university also on enhancing the standard of the upper education system. The machine learning technique provides powerful methods for the analysis and therefore the prediction of the dropout. This study uses a dataset from a university representative to develop a model for predicting student dropout. In this work, machinelearning models were used to detect dropout rates. Machine learning is being more widely used in the field of knowledge mining diagnostics. Following an examination of certain studies, we observed that dropout detection may be done using several methods. We've even used five dropout detection models. These models are Decision tree, Naïve bayes, Random Forest Classifier, SVM and KNN. We used machine-learning technology to analyze the data, and we discovered that the Random Forest classifier is highly promising for predicting dropout rates, with a training accuracy of 94% and a testing accuracy of 86%.
Uploads
Papers by Masum Bakaul