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 aim for this study is discovering the development and impact of E-trade and its consequences for the recent business viewpoints and employment creation. Web based business is developing on fast pace over globally through infiltration the cell telephones. Also, web infiltration over people’s distinctive dimensions internationally. Gains, also gain-growth stay as of now observable from the investigations in created nations, yet when the business going to growing and immature country, greater positive results going forward that would be witnessed by us. A channel of worldwide trade is opening by E-commerce, which observer steady future commercial. Globalizing effects adds to unwinding trendy fare of ingression among countries, frugalities over distributed distance resolve observer recovering learning besides data innovation development and advancements. Notwithstanding the above E-business will assume an essential job in way advertising is done and work markets
The self-complementary technique has been employed to widen the range of operating frequencies for the planar rectangular monopole antenna, which has been designed in a previous work with two configurations according to its feeding position. The complementary structure enables the designed antenna to be used in medical imaging application for detecting a cancerous tumor in a simulated human breast. Two breast phantom models have been simulated in the CST software environment. The detection technique is mainly depended on mapping the Specific Absorption Rate (SAR) values. The coordinates of maximum SAR value have been identified to detect the positions of the tumor precisely within the breast. Simulation results shown that the tumor inside the breast can be detected, accurately