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:
Social Media is a like a bridge that have function for connecting people from far away, or can be alternative to starting the business. Social media have many platform. Instagram is one of them, it usually used to sharing the user’s photo or video and it can be aims to entertaining the user. Instagram can also be the platform to starting your own business. From Instagram we can sharing our photos and videos and can be promoted by Influencer or Ads that available from that platform. Influencer is a person who can influence some people with sharing real review from any brand that they used to. The followers can trusted the influencer because they really using the brand and felt the affect from the brand. Influencer usually has many followers and they mostly reviewing some brand that cooperate with them. So based on the result of analyzing from this event, we can see the analysis of the work of influencer affection the customer
Electricity can be described as flow of electric power or electric charge. Consumer will receive alternating current (AC) from power station, boosted by transformer to step up or step down, and distributed miles away to different location all over the world. To maintain electricity in stable condition, protection system must be clear with any faults. The protection system function as keeping the power system maintain in stable condition by isolating the components that under faults and leaving as much of network as possible in operation. Thus. This paper presents the events detection focusing on voltage sag and current swell during high fault resistance. The method is developed by applying time domain signal analysis using wavelet transform approach in MATLAB. This project analyzed real interrupted signal obtained from 11 KV distribution network in PSCAD software, comprise actual data form modelling of transmission line from Tenaga Nasional Berhad (TNB) distribution network. The signal will be decomposed through the wavelet mother. The lowers percentage different will prove the best detection event
