International Journal of Computer Applications Technoiogy and Research最新文献

{"title":"The Effects of Mobile Games on Male Adolescents using Data mining techniques- A Review","authors":"D. B. Desai, A. Kaiwade","doi":"10.7753/ijcatr0901.1001","DOIUrl":"https://doi.org/10.7753/ijcatr0901.1001","url":null,"abstract":": In following study “The effects of mobile games on male adolescents using Data mining techniques”, various papers are reviewed. There are about 67% mobile users world-wide. Almost every mobile user has a mobile game installed on their mobile. Most of mobile users play mobile games, while adolescents are very specific and keen users of mobile games. This paper introduces mobile game usage gaming addiction among adolescents, it reviews difference between computer games, video games, console games and mobile games and it then reviews positive and negative effects of mobile games on male adolescents using data mining techniques. Abstract : In China, stock investment is o ne of the important ways for people to manage their finances. Mastering the stock market dynamics can not only bring economic benefits to individuals and enterprises, but also help government to understand Chinese macroeconomic situation. The overall situation of Chinese stock market is mainly displayed through the SSE Composite Index. Therefore, effective prediction of the SSE Composite Index will help investors, enterprises and government agencies to grasp the overall information of the stock market and reduce investment risks in trading. With the development of computer technology, the application of machine learning algorithms to predict stock market volatility has become a hot spot. Among them, BP neural network is the most widely used model, but the gradient descent algorithm used in the model's back propagation has the problem of easily falling into a local minimum. Therefore, the ADAM algorithm to solve this problem was born. This article uses the ADAM optimizer to optimize the BP neural network for SSE Composite Index short-term prediction. The constructed ADAM-BP neural network’s Goodness-of-fit index R2 reached 0.986, which means that the model has good prediction performance. In addition, Compared with the BP neural network without the ADAM optimizer, the error evaluation index of the ADAM-BP neural network is significantly reduced. Abstract : The use of Internet in this globalization era is really needed to support easier data and information exchange. The quality of the connection or has to be considered too, a good Internet connection is must for a smooth data and information exchange. This paper explains about the quality of Internet network or known as QoS (Quality of Service) on Udayana University the parameters used are throughput, delay, jitter and packet loss. Measurements at the access point in every 13 Faculty and Pasca Sarjana at Sudirman Campus, Nias Campus and Bukit Campus in the morning, afternoon and evening. From the results of the measurements, the performance of wireless network service on Udayana University is belongs to the very good, which has a average value of delay < 150 ms, an average jitter of 0 ms and an average packet loss of 0% categorized according to TIPHON version standardization is very good. Abstract : Audit and Information Technology ","PeriodicalId":124684,"journal":{"name":"International Journal of Computer Applications Technoiogy and Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129333172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}