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Keyword: Open-sourceOn the Combination of Static Analysis for Software Security Assessment – A Case Study of an Open-Source e-Government Project
Static Application Security Testing (SAST) is a popular quality assurance technique in software engineering. However, integrating SAST tools into industry-level product development and security assessment poses various technical and managerial challenges. In this work, we reported a longitudinal case study of adopting SAST as a part of a human-driven security assessment for an open-source e-government…
Read MoreApplication of Open-Source Optimization Library “Extremum” to the Synthesis of Feedback Control of a Satellite
Current work demonstrates how open-source optimization library ”Extremum” (OSOL Extremum) can be used to build feedback controller of a satellite. Proposed software was developed to as an attempt to eliminate current problems that are present in scientific area: black-box effect (i.e. there is no opportunity to explore source code, modify it, or simply verify), no…
Read MoreImpact of Integrating Chatbots into Digital Universities Platforms on the Interactions between the Learner and the Educational Content
The rapid expansion of digital universities across Africa addresses the need for scalable higher education solutions, but challenges such as limited physical infrastructure and high dropout rates persist. In digital learning environments, effective interaction with educational content is crucial for student success. This article explores the transformative role of chatbots integrated into digital university platforms,…
Read MoreOn Adversarial Robustness of Quantized Neural Networks Against Direct Attacks
Deep Neural Networks (DNNs) prove to be susceptible to synthetically generated samples, so-called adversarial examples. Such adversarial examples aim at generating misclassifications by specifically optimizing input data for a matching perturbation. With the increasing use of deep learning on embedded devices and the resulting use of quantization techniques to compress deep neural networks, it is…
Read MoreForecasting the Weather behind Pa Sak Jolasid Dam using Quantum Machine Learning
This paper extends the idea of creating a Quantum Machine Learning classifier and applying it to real weather data from the weather station behind the Pa Sak Jonlasit Dam. A systematic study of classical features and optimizers with different iterations of parametrized circuits is presented. The study of the weather behind the dam is based…
Read MoreDesign of an Open Source Anthropomorphic Robotic Hand for Telepresence Robot
Most anthropomorphic robotic hands use a lot of actuators to imitate the number of joints and the movement of the human hand. As a result, the forearm of the robot hand has a large size for the installation of all actuators. This robot hand is designed to reduce the number of actuators, but also retain…
Read MoreLow-cost Smart Basket Based on ARM System on Chip Architecture: Design and Implementation
This paper presents the design and implementation of a low-cost basket based on an ARM system on chip architecture using Raspberry Pi single board computer. The inspiration of this research is how to support the traditional low-income retail store in Thailand driving the local micro-business deal with the economic impacts of survival business from the…
Read MoreA Proposal of Exercise and Performance Learning Assistant System for Self-Practice at Home
Due to pandemic spreads of COVID-19 and increasing populations of se- niors, exercises or performance practices at home have become important to maintain healthy lives around the world. World Health Organization (WHO) has announced the physical health determines the Quality of Life (QoL) of a human. Unfortunately, a lot of people have no exercise and…
Read MoreImproving the Performance of Fair Scheduler in Hadoop
Cloud computing is a power platform to deal with big data. Among several software frameworks used for the construction of cloud computing systems, Apache Hadoop, which is an open-source software, becomes a popular one. Hadoop supports for distributed data storage and the process of large data sets on computer clusters based on a MapReduce parallel…
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