Technology Reports of Kansai University (ISSN: 04532198) is a monthly peer-reviewed and open-access international Journal. It was first built in 1959 and officially in 1975 till now by kansai university, japan. The journal covers all sort of engineering topic, mathematics and physics. Technology Reports of Kansai University (TRKU) was closed access journal until 2017. After that TRKU became open access journal. TRKU is a scopus indexed journal and directly run by faculty of engineering, kansai university.
Technology Reports of Kansai University (ISSN: 04532198) is a peer-reviewed journal. The journal covers all sort of engineering topic as well as mathematics and physics. the journal's scopes are
in the following fields but not limited to:
The proliferation of IoT devices has driven new opportunities in many aspects of human life. The adoption of IoT technologies in an organization is expected to facilitate and improve the organization’s processes and operations. However, there are growing concerns about the failure of IoT implementation in an organization due to employees’ lack of readiness. The issue is deepened with the increase of security risk as the technologies come with vulnerabilities and prone to undetected threats. Therefore, the needs for the employees to be equipped with cybersecurity knowledge and skills are inevitable, to ensure seamless operation during the IoT adoption. The objective of this paper is two-fold: First, this paper aims to present current evidence of ICT employee’s readiness to adopt different aspects of IoT technologies in their organization. Second, to analyze the importance of cybersecurity competency towards IoT readiness as it pertains to ICT employees in Malaysia. This paper adopted a quantitative methodology where data from a survey (N=203) of ICT employees is analyzed. This study offers understandings of which cybersecurity competency area could affect employees’ IoT readiness in an organization. The findings show that the current level of IoT readiness of the ICT workforce in Malaysia is somewhat low. Additionally, findings have shown there is a significant difference in IoT readiness in the ethnicity and job position groups. Finally, the findings reveal that knowledge, skills, and ability in cybersecurity is positively correlated with ICT employees’ IoT readiness. This study may benefit other decision-makers attempting to understand employee standpoint’s on IoT readiness in their organization
The process of 3D Reconstruction is a fundamental problem in Computer Vision. However, recent researches have been successfully addressed by motion capture systems with body-worn markers and multiple cameras. To recover 3D reconstruction from a fully-body human pose by a single camera remains a challenging problem. For instance, noisy background, variation in human appearance, and self-occlusion were among these challenges. This thesis investigated methods of 3D Reconstruction from monocular image sequences in vigorous activities such as sports. Six current methods were selected based on their focus on recovery fully automated system for estimating 3D human pose for 2D joint location. These researches have been developed as an algorithm that can solve the ill-posed problem. The evaluation of the methods was divided into two sections. First, each process's theoretical and comparative study was disclosed to identify the technique used, the problems that inquired, and the results achieved in their approach. After that, the advantages and disadvantages of each method were listed. Also, several factors, such as accuracy, self-occlusion, and so on, have been compared amongst these methods. In the second stage, based on the advantages found in the first stage of evaluation, three methods were chosen to be evaluated using a specific data set. Initially, the codes of the three methods on the PennAction dataset (tennis) were run, and the performance of the methods in 3D Reconstruction is showed. Then, the methods were tested on a varied activities sequence from the CMU motion capture database. This study's novel is the evaluation of current methods based on the accuracy of their performance on the specific dataset of a tennis player. We also proposed a technique that combines each technique's particular advantages to create a more efficient method for 3D Reconstruction of 2D sequential images in outdoor activities
