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
Interventional Pulmonology
Data mining techniques had used to detect DDoS attacks by analyzing network traffic patterns. The random forest (RF) algorithm is used as a detection model after dividing the dataset into (training data) and (test data). Encoding was utilized to initialization the data set used, which is an important step in the preprocessing process to obtain the best results the log2 algorithm is used to standardize data. In addition, the principal component analysis (PCA) technique is applied several times to reduce data dimensions. Emphasis was placed on strengthening the preprocessing step to obtain high accuracy and efficiency in the classification and detection of attacks. In this paper, the proposed model was applied to datasets (CICDDOS2019) it is extracted from CICIDS2018, the dataset has two versions, the first version is CSV files, which contain 13 different DDoS attacks, and another version is raw PCAP files. The results showed an increase in the level of accuracy when using the PCA technique to 99.9%
Conspicuity issues on motorcycle at night time have always been a big concern as it is frequently observed motorcycle ridden without its light functioning and motorcyclist donning low conspicuous attire. This somehow has contributed to high percentage of motorcycle crashes at night time especially at junction road and rural area. This study aims to propose ways to improve the side conspicuity of motorcycles traveling on Malaysian roads at night through brighter appearance of motorcyclist and new intervention using retroreflective tapes on the side body of motorcycle. 38 drivers with average age of 34.8 years (SD=7.95) participated in a video experiment to detect a motorcycle presence on the road. Multiple motorcycle configurations with conspicuity measures of helmet color, attire color, presence of motorcycle light and retroreflective tapes were included in the experiment. The results indicate that a motorcycle without any conspicuity aid can be detected at average 33 meters from its side. The use of conspicuity aids of bright helmet, attire, presence of motorcycle light and retroreflective tapes have resulted in better motorcycle detection distance with the use of retroreflective tapes have helped motorcycle to detect furthest and quickest. Brighter motorcyclists’ and motorcycle’s appearances have improved motorcycle detectability at night time. Furthermore, the addition of retroreflective tapes on the side body of motorcycle have significantly improved motorcycle conspicuity and this suggested that the use of retroreflective tapes can help in reducing motorcycle conspicuity related crashes at junction road area at night time
