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Title: | การวิเคราะห์รูปแบบการสัญจรของประชากรใน มหาวิทยาลัยเชียงใหม่บนพื้นฐานเครือข่ายไร้สายจัมโบเน็ต |
Other Titles: | Population Trajectory Pattern Analysis in Chiang Mai University Based on Jumbo Net Wireless Network |
Authors: | สิทธิพล สกุลพรรณ์ |
Authors: | เสมอแข สมหอม สิทธิพล สกุลพรรณ์ |
Issue Date: | May-2022 |
Publisher: | เชียงใหม่ : บัณฑิตวิทยาลัย มหาวิทยาลัยเชียงใหม่ |
Abstract: | Nowadays, a Wireless network is an essential service for university and any organization. Thus, huge amount of usage transaction data were stored for maintenance reason. Jumbo Net is a service from Chiang Mai University that provides wireless network for students, staffs, and lecturers in the university. Chiang Mai University also provide utilities and public facilities such as Parking building, Food court, Sport fields, Public spaces and Public transportation. With an increasing number of population and behavior changing. Theese utilities and public facilities does not correspond to the population density and population behavior. The purpose of this research were to analyze population trajectory pattern in Chiang Mai University using Jumbo Net usage transaction data. First, researcher has collected, processed, and transformed transaction data into trajectory data. Then, the data clustering method was used for access point data clustering. at Last, researcher has analyzed trajectory data by both primary trajectories finding depending on trajectory density and timeframe method, and the trajectory clustering method. The result of this research is data analysis models that able to describe trajectory pattern and population density in Chiang Mai University and show how we can extract insight from huge amount of existed data in organization for improve organzation efficiently, in this research was 50,317,489 records |
URI: | http://cmuir.cmu.ac.th/jspui/handle/6653943832/78077 |
Appears in Collections: | SCIENCE: Independent Study (IS) |
Files in This Item:
File | Description | Size | Format | |
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600532011 สิทธิพล สกุลพรรณ์.pdf | 4.61 MB | Adobe PDF | View/Open Request a copy |
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