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 transmission system is the connecting part of the power station and, distribution is capable of being forwarded to the load center. If there is a fault in the transmission line by interrupting the electricity supply to the load, then this will cause a loss for consumers. Therefore, another technique is needed to identify the fault in the electrical power distribution system accurately and quickly by reducing search time and speeding up the repair process. This study will present a method to identify fault by classifying and estimating the location of a fault in the 115 kV transmission system. This technique is performed by combining Discrete Wavelet Transformation (DWT) and Recurrent Neural Networks (RNNs) of Elman. DWT aimed at extracting information of transient signals for each phase current and zero sequence current during one cycle when the fault starts. Elman RNNs are classified to detect a fault in each phase and ground, while Elman RNNs are used to measure the location of the fault in the transmission line. Training and testing data be carried out for the simulation of short circuit fault under different fault resistance and varying starting angle. Short circuit fault applied in the transmission line to 115 kV bus LK to BK on 63km line lengths. The fault classification results obtained are the accuracy of 100%, and the estimated location of fault received the most significant average error value is 1.4%
Precast prestressed concrete double tee is an economic bearing element which can be prepared into a large span to coverage large area. Self-weight of the beam and overlay slabs or finishing layers considered a major part of the load carried by prestressed concrete beams. If all or part of the beam can be manufactured using lightweight concrete, there is a prospective for economic savings because its self-weight could be reduced up to 20%. This research paper represent a comparison between double tee beam made from lightweight concrete vs. normal weight in the basic of designing issues for its major aspects. The study based on the section adopted by the Precast/Prestressed Concrete Institute, and a parametric analysis carried out to predict a design guide for both lightweight and normal weight section. Load-span charts obtained and recommended to used with clear way to show the effect of reducing the total weight of the section by using lightweight concrete. Then the effect extend to include the camber at erection and long-time camber. In general the variation of load bearing capacity of the section raised much more for lightweight with respect to normal weight concrete. Also, better response in its camber behavior shown at both stages (at erection up to long-time)
