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:
Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery
The roughness coefficient determines the flow resistance in a channel and its accurate estimation is essential for channel design and hydraulic modeling of water systems. Several studies have proposed different equations and methods for their calculation. However, authors differ between each other due to the variability of the flow, thus the coefficient calculation has become a challenging task because of the associated level of uncertainty. In this paper an extensive review of the methods habitually used to calculate the roughness of uniform and natural channels was carried out, considering the regimes associated with the bed microforms. Likewise, the mathematical models developed by different authors for the prediction of bedforms and the calculation of the roughness coefficient are detailed. Finally, a table is presented as a summary exposing each of the proposed equations and their conditions of use to simplify the selection process by readers and encourage the execution of research where the applicability of the different proposals is compared.
This paper discusses the traffic signs recognition by Android Studio and Java language with OpenCV library. This is the first project implemented in this way with clarifying the steps scientifically explained. It has a great impact in our daily life which gives notification about our speed and the traffic signs during driving car and makes us less accidents and avoid drivers from over speeding and doesn’t miss the traffic signs by the drivers and provide the drivers with pieces of information which help in driving safe and conveniently. The aim of this paper is to amalgamate state of the art technique for Road Sign Detection and Recognition with the goal of conquering greater accuracy with a real-time performance. An extra level of driver assistance is furnished by the Road Sign Detection and Recognition (RSDR)