• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.05a
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• pp.443-446
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• 2003

This paper implement Remote Meter Reading System which is used Bluetooth and SMS in CDMA. This System propose system which tan detect a total amount of gas, electricity or water without a meterman, at home BlueTooth is a close range wireless communication technology which uses a wireless frequency 2.4GHz and has a high trust and self error correction technology according to a low power consumption quality and a high-speed frequency hopping. This makes get a high trust concerning a data transmission than an existing modem. In addition, though wireless modem is restricted by a minimal of a wireless terminal, it will be possible to coincide with the function of the portable with the low power consumption quality by using Bluetooth. And as the system on a chip of module progresses, the possibility of the small size is present. Nowadays, SMS Protocol in CDMA for have a network function based on PPP in CDMA Phone. The proposed Remote Meter Reading System to get more nobility, efficiency, and have good function. SMS Protocol in CDMA have profits which is low power, low cost, and low microwave output.

• Journal of Digital Convergence
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• v.12 no.4
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• pp.75-84
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• 2014

MVNO(Mobile Virtual Network Operator) promotes service competition in mobile telecommunication market and provides various service and opportunities for consumers. This study attempts to identify MVNO Service users' motivational and dissatisfying factors in relation to their willingness for continued use of the service 새 activate MVNO service. Use motivation factors are found as customer service, user interface, easiness, economical efficiency, and dissatisfying factors are handset quality, customer service, social influence. Economic efficiency factor had an affirmative influence on the sustained use motivation of the service users. Among dissatisfying factors, users had a negative influence when they recognize that their neighboring people does not use MVNO service. Policy authorities concerned must excavate a new plan to improve distribution structure of handset and reduce wholesaling cost of the MVNO service. It is necessary for MVNO service provider to develop a new business model so that users can recognize MVNO service not as inferior service but as rational and attractive service.

• The Korean Journal of Applied Statistics
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• v.21 no.5
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• pp.791-799
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• 2008

Ansim Flat DATA Plan is a DATA additional service product related to DATA call in a mobile telephone company A. Up to now, the company A is selling it by outbound TM after targeting customers which used data within specific price band. In this paper, we propose a targeting method applying score model combining response rate and retention rate by data mining. The suggested target model is to find customers more likely not only to respond to outbound TM but also to retain Ansim Flat DATA Plan. The proposed targeting method is expected to improve both from 23.7% to 38.8% in the response rate and from 53.2% to 61.4% in the retention rate.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.347-350
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• 2018

In order for an IoT system to automatically make the house temperature pleasant for the user, the system needs to predict the optimal start-up time of air-conditioner or heater to get to the temperature that the user has set. Predicting the optimal start-up time is important because it prevents extra fee from the unnecessary operation of the air-conditioner and heater. This paper introduces an ANN(Artificial Neural Network) and an IoT system that predicts the cooling and heating time in households using air-conditioner and heater. Many variables such as house structure, house size, and external weather condition affect the cooling and heating. Out of the many variables, measurable variables such as house temperature, house humidity, outdoor temperature, outdoor humidity, wind speed, wind direction, and wind chill was used to create training data for constructing the model. After constructing the ANN model, an IoT system that uses the model was developed. The IoT system comprises of a main system powered by Raspberry Pi 3 and a mobile application powered by Android. The mobile's GPS sensor and an developed feature used to predict user's return.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.2
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• pp.119-131
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• 2024

Understanding accurate traffic performance is crucial for ensuring efficient highway operation and providing a sustainable mobility environment. On the other hand, an immediate and precise estimation of highway traffic performance faces challenges because of infrastructure and technological constraints, data processing complexities, and limitations in using integrated big data. This paper introduces a framework for estimating traffic performance by analyzing real-time data sourced from toll collection systems and dedicated short-range communications used on highways. In particular, this study addresses the data errors arising from segmented information in data, influencing the individual travel trajectories of vehicles and establishing a more reliable Origin-Destination (OD) framework. The study revealed the necessity of trip linkage for accurate estimations when consecutive segments of individual vehicle travel within the OD occur within a 20-minute window. By linking these trip ODs, the daily average highway traffic performance for South Korea was estimated to be248,624 thousand vehicle kilometers per day. This value shows an increase of approximately 458 thousand vehicle kilometers per day compared to the 248,166 thousand vehicle kilometers per day reported in the highway operations manual. This outcome highlights the potential for supplementing previously omitted traffic performance data through the methodology proposed in this study.