The high inertia ceiling suspended systems with multiple degrees of freedom uses power assist technologies to reduce operator’s burden to operate the machine. Such systems are popularly used in medical diagnostic systems, construction machines,…
Visually impaired individuals continue to face barriers in accessing reading and
listening resources. To address these challenges, we present a comparative analysis
of cutting-edge technological solutions designed to assist people with…
This research aims to develop a predictive model using face recognition-based attendance data and integrating decision support system (DSS) theory with machine learning (ML) techniques to identify high-performing teachers at vocational high schools…
Incorporating information and communication technologies (ICT) in public organisations in keeping with digital government policies and access to ICT by citizens motivates public institutions to implement systems to provide better services to…
Realizing seamless collaboration between humans and robots in shared workspaces requires advanced systems that can ensure safety and efficiency while considering the inherent unpredictability of human movement. This paper proposes a system that…
In the past few years, biosensor technology has paved the way for new insights into the physiological effects of physical exercise. Quantitative analysis, especially in the case of muscle capacity measurement, is the focus of studies to assess the…
In this research, we disclose our findings from exploring a machine learning (ML) approach to enhancing the antenna’s performance in Industrial and Innovation contexts, particularly for4G and 5G (n77, n78) contexts. Methods for evaluating antenna…
This paper presents the performance enhancement of a terahertz (THz) patch antenna using the metamaterials (MTM). The antenna design features a rectangular patch with a modified ground structure, implemented on an FR4 substrate with dielectric…
In this research, we use several deep learning methods with the word embedding feature to see their effect on increasing the evaluation value of classification performance from processing sentiment analysis data. The deep learning methods used are…
The quality of wireless signals is determined by the received signal strength indicator (RSSI), which can be measured using various tools, including Android apps and global system for mobile (GSM) modules. To enhance the measurement of signal quality…