Journal of Operating Systems Development & Trends
Volume 10, Issue 1 (2023)
Published
Table of contents
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A New Systematic Approach of Using SVM, KNN, PNN and CNN to Achieve Higher Accuracy for Classification and Recognition of Music Genre
Abstract: In order to overcome challenges like finding songs that are similar, figuring out which cultures would enjoy particular music, conducting surveys, and using music as therapy, classification and recognition of music genres are essential. The expansion of music-related content available online has created new opportunities for the development of music referral systems, which support user communities in searching, finding, sharing, and producing digitally. Our aim is to develop a systematic …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 1, 2023 · pp. 1–11 Read article
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Backup Solid State Drive for Ransomware Protection
Abstract: Ransomware is a type of malicious software that can block a users’ access to their own files and restricts access until a ransom amount is paid. There is no certainty that we would get our files back even after paying the ransom amount. Since these ransomware attacks are increasing day by day and are causing heavy losses to people, we have proposed a new backup based ransomware defense system along …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 1, 2023 · pp. 12–18 Read article
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Identification of Handwritten Digits using Machine Learning
Abstract: Handwritten Digit Recognition is one of the practical issues in sample recognition applications. The task for handwritten recognition has been difficult due to various variations in written styles. The capacity to create an effective algorithm that can detect handwritten numbers given by users via a scanner, tablet, and other digital devices is at the core of the issue. Artificial intelligence is used in machine learning, which automatically corrects errors based …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 1, 2023 · pp. 19–26 Read article
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Python: Empowering Data Science Applications and Research
Abstract: It was in 1991 that the first mention of Python came to light. Since it is one of the best programming languages, it is widely used in the data analytics industry. It is speedy, easy to use, and can smoothly alter data with no hiccups. It aids in the processes of data analytics generally, such as data collection, analysis, modelling, and visualization. Python stands out from other languages because it …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 1, 2023 · pp. 27–33 Read article
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Attack Detection and Analysis in Virtual Wireless Networks using Mininet-WiFi, CIC Flowmeter, Wireshark, and Machine Learning
Abstract: Mininet-WiFi is a powerful tool for creating virtual wireless network environments to test various networking scenarios. However, attacks like Distributed Denial of Service (DDOS) attacks can still affect these simulated networks. A CIC flowmeter can be used to monitor network traffic and Wireshark can be used to record and analyse network data in real-time to detect and analyse such assaults. However, the data obtained from these tools may be noisy, …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 1, 2023 · pp. 34–45 Read article