Current Issue

Journal of ICT Research and Applications Vol. 16 Issue 1 2022

Vol. 16 No. 1 (2022)

Issue Articles

Articles Published in This Issue

Explore peer-reviewed research articles published in this issue.

researchpp. 1–22

Mobile Robot Path Planning Optimization Based on Integration of Firefly Algorithm and Cubic Polynomial Equation

Mobile Robot is an extremely essential technology in the industrial world. Optimal path planning is essential for the navigation of mobile robots. The firefly algorithm is a very promising tool of Swarm Intelligence, which is used in various optimization areas. This study used the firefly algorithm to solve the mobile robot path-planning problem and achieve optimal trajectory planning. The objective of the proposed method is to find the free-collision-free points in the mobile robot environment and then generate the optimal path based on the firefly algorithm. It uses the A∗ algorithm to find…

Keywords
cubic polynomial equation firefly algorithm mobile robot optimal path planning
0 Views0 Downloads9 Citations
researchpp. 23–37

Wireless Vibration Monitoring System for Milling Process

The implementation of industrial revolution 4.0 in manufacturing industries is necessary to adapt to the rapid changes of technologies. The milling process is one of the common manufacturing processes applied in the industries to produce engineering products. The vibration that occurs in the milling process can disturb the continuity of the process. The wired vibration monitoring system implemented in the manufacturing process needs to be replaced with the wireless monitoring system. Hence wireless vibration monitoring system is developed to solve the problem with wired monitoring systems…

Keywords
milling process monitoring system vibration sensor wireless sensor
0 Views0 Downloads8 Citations
researchpp. 56–69

Automatically Detect Software Security Vulnerabilities Based on Natural Language Processing Techniques and Machine Learning Algorithms

Nowadays, software vulnerabilities pose a serious problem, because cyber-attackers often find ways to attack a system by exploiting software vulnerabilities. Detecting software vulnerabilities can be done using two main methods: i) signature-based detection, i.e. methods based on a list of known security vulnerabilities as a basis for contrasting and comparing; ii) behavior analysis-based detection using classification algorithms, i.e., methods based on analyzing the software code. In order to improve the ability to accurately detect software security vulnerabilities, this study proposes a…

Keywords
machine learning algorithms natural language processing techniques software security vulnerability detection software vulnerabilities source code features
0 Views0 Downloads2 Citations
researchpp. 70–87

A Classifier to Detect Profit and Non Profit Websites Upon Textual Metrics for Security Purposes

Currently, most organizations have a defense system to protect their digital communication network against cyberattacks. However, these defense systems deal with all network traffic regardless if it is from profit or non-profit websites. This leads to enforcing more security policies, which negatively affects network speed. Since most dangerous cyberattacks are aimed at commercial websites, because they contain more critical data such as credit card numbers, it is better to set up the defense system priorities towards actual attacks that come from profit websites. This study evaluated the…

Keywords
classifier cyber-attacks defense system network traffic nonprofit profit security polices textual metrics website
0 Views0 Downloads16 Citations

No articles match the selected filter or search query.