Applying Big Data Concept in Developing Diversity of Statistical Evaluation to Data System

碩士 === 大葉大學 === 電機工程學系 === 104 === The thesis focuses on applying the Radio Frequency Identification (RFID) or Near Field Communication (NFC), which have the features of real-time access and Cloud computing, to transfer the Big Data stored in the Web space. The Web address of the file space is pas...

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Bibliographic Details
Main Authors: Chang,Yu-Yao, 張譽耀
Other Authors: Chen,Iong-Zong
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/00857404319452947942
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Summary:碩士 === 大葉大學 === 電機工程學系 === 104 === The thesis focuses on applying the Radio Frequency Identification (RFID) or Near Field Communication (NFC), which have the features of real-time access and Cloud computing, to transfer the Big Data stored in the Web space. The Web address of the file space is passed to a mobile device, in the meantime, the Big Data is transmitted to a smart device Via the Blue-tooth protocol. Moreover, the gathered data stored in the Web space will be statistically evaluated in the mobile device. Finally, the calculated data will be checked in both sides include local device and Web device. There is a diversity and multi-variates data evaluation system is implemented in this study. Furthermore, by means of continuous reading and displaying functions, the sensing devices of RFID and NFC are applied in the functions of access statistical analysis. All the gathered data is obtained from the tag embedded in a RFID reader,then Combined with the so-called Big Data. The Visual Basic is adopted as the programming language for planning to be as the position, data size, and the relevant device setting. At last, there are some of the user interface (UI) are completed for demonstration. Certainly, the coding is programmed by Visual Basic for testing, debugging and program execution.