Design and construction of an automated monitoring system for mobile network system error with control chart

An objective of this research is to design and construct an automated monitoring system for mobile network system error with control chart. The two stage control chart has been used to monitor the cancelled or terminated calls resulting from an error of base station system belonging to Advance Info...

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Main Authors: Noppakit Konjai, Wichai Chattinnawat
Format: Conference Proceeding
Published: 2018
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Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=72449207635&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/48994
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-489942018-08-16T02:11:04Z Design and construction of an automated monitoring system for mobile network system error with control chart Noppakit Konjai Wichai Chattinnawat Computer Science Materials Science An objective of this research is to design and construct an automated monitoring system for mobile network system error with control chart. The two stage control chart has been used to monitor the cancelled or terminated calls resulting from an error of base station system belonging to Advance Info Service Public Company Limited in the north region of Thailand in order to rapidly solve a problem and increasing the quality of service. By gathering information, it was found that an error of base station system led to call cancellations and call terminations (TCH Drop) are about 0.72% which was used to design the control limit of the Two Stages Cumulative Count Control Chart that was appropriate for monitoring a process that low errors occur, this project set the probability of the type one error (α) equal 0.05. Furthermore, in accordance with the control chart, we divided this error type into two parts using equal to 0.14. The calculation indicates that, the first control limit (n1) was 6 and the second control limit n2 was 24. We tested these two parameters by simulating the usage of TCH per hour which was based on Poisson distribution and the past information of 0.72% TCH Drop was based on Binomial distribution and the usage of TCH per hour. The results from the simulation showed that the increasing of n1 and n2 to be 9 and 30 respectively are necessary in order to meet the design requirement. This chart was also applied to the network and it can monitor the network effectively. This research can monitor any error of the network and send an alarm to solve the problem immediately to guarantee the best service to customers. 2018-08-16T02:08:11Z 2018-08-16T02:08:11Z 2009-12-28 Conference Proceeding 2-s2.0-72449207635 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=72449207635&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/48994
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Computer Science
Materials Science
spellingShingle Computer Science
Materials Science
Noppakit Konjai
Wichai Chattinnawat
Design and construction of an automated monitoring system for mobile network system error with control chart
description An objective of this research is to design and construct an automated monitoring system for mobile network system error with control chart. The two stage control chart has been used to monitor the cancelled or terminated calls resulting from an error of base station system belonging to Advance Info Service Public Company Limited in the north region of Thailand in order to rapidly solve a problem and increasing the quality of service. By gathering information, it was found that an error of base station system led to call cancellations and call terminations (TCH Drop) are about 0.72% which was used to design the control limit of the Two Stages Cumulative Count Control Chart that was appropriate for monitoring a process that low errors occur, this project set the probability of the type one error (α) equal 0.05. Furthermore, in accordance with the control chart, we divided this error type into two parts using equal to 0.14. The calculation indicates that, the first control limit (n1) was 6 and the second control limit n2 was 24. We tested these two parameters by simulating the usage of TCH per hour which was based on Poisson distribution and the past information of 0.72% TCH Drop was based on Binomial distribution and the usage of TCH per hour. The results from the simulation showed that the increasing of n1 and n2 to be 9 and 30 respectively are necessary in order to meet the design requirement. This chart was also applied to the network and it can monitor the network effectively. This research can monitor any error of the network and send an alarm to solve the problem immediately to guarantee the best service to customers.
format Conference Proceeding
author Noppakit Konjai
Wichai Chattinnawat
author_facet Noppakit Konjai
Wichai Chattinnawat
author_sort Noppakit Konjai
title Design and construction of an automated monitoring system for mobile network system error with control chart
title_short Design and construction of an automated monitoring system for mobile network system error with control chart
title_full Design and construction of an automated monitoring system for mobile network system error with control chart
title_fullStr Design and construction of an automated monitoring system for mobile network system error with control chart
title_full_unstemmed Design and construction of an automated monitoring system for mobile network system error with control chart
title_sort design and construction of an automated monitoring system for mobile network system error with control chart
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=72449207635&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/48994
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