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:
Kongzhi yu Juece/Control and Decision
Azerbaijan Medical Journal
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery
Zhenkong Kexue yu Jishu Xuebao/Journal of Vacuum Science and Technology
Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering)
Zhonghua yi shi za zhi (Beijing, China : 1980)
Changjiang Liuyu Ziyuan Yu Huanjing/Resources and Environment in the Yangtze Valley
Tobacco Science and Technology
Shenyang Jianzhu Daxue Xuebao (Ziran Kexue Ban)/Journal of Shenyang Jianzhu University (Natural Science)
General Medicine (ISSN:1311-1817)
Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
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
A hybrid haptic feedback stimulation system that is capable of sensing the surface texture, and the temperature, simultaneously, was designed for a prosthetic hand to provide a tactile sensation to amputation patients. In addition, the haptic system was developed to enable the prosthetic’s users to implement withdrawal reflexes due to the thermal noxious stimulus in a quick manner. The re-sensation is achieved by non-invasively stimulating the skin of the patients’ residual limbs, based on the type and the level of tactile signals provided by the sensory system of the prostheses. Accordingly, a novel hybrid pressure-vibration-temperature feedback stimulation system was designed to provide a piece of huge information regarding the prosthesis's environment to the users without brain confusing or requiring long pre-training. An evaluation of sensation and response will be performed with healthy volunteers to evaluate the ability of the haptic system to stimulate the human nervous system. The results were presented in terms of the Stimulus Identification Rate (SIR). The test results and the volunteers' response established evidence that amputees are able to recover their sense of the contact pressure, the surface texture, and the object temperature as well as to perform thermal withdrawal reflexes using the solution developed in this work
