• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.2
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• pp.597-604
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• 2014

In this study, we investigate to show the limitations of current bus arrival time estimation model based on each bus route, and to propose a bus arrival time estimation model based on a bus stop to overcome these limitations. Using the characteristic of bus arrival time calculated on travel time between two bus stops, we develop a model to estimate bus arrival times with the data of all buses traveling the same section regardless of bus route numbers. In the proposed model, an estimated arrival time is calculated by weighted moving average method, and verification between observed value and estimated time is performed on the basis of RMSE. Error was reduced by up to 20% compared to the existing models and the data update period was reduced by more than half that is related to the accuracy of bus arrival time information. We expect to solve the following problems with the suggested method: sudden increase or decrease in arrival time of the bus, the difference of the expected arrival times at the same stop between two or more buses having different route numbers, and impossibility of offering information of a bus if the bus is not operated with the designated schedule.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.846-848
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• 2018

최근 4차 산업혁명이 이슈가 되면서 빅 데이터나 인공지능에 대한 연구가 활발해지고, 이를 통해 자동화 및 자율화가 제조 공정이나 차량 운행 등에서 활용되고 있다. 또한 이를 위해서 데이터를 분석하고 정제하며 시각화를 효과적으로 하는 방법에 대한 관심도 같이 늘어나고 있다. 본 논문에서는 자동화 공장의 제품을 관리함에 있어 데이터를 쉽게 이해할 수 있도록 시각화하는 방법에 대한 연구를 수행했다. 이를 위해 D3 자바스크립트 라이브러리를 통해 웹기반으로 구현한 제품과 장애를 효과적으로 관리할 수 있는 시스템을 개발했다. 제안하는 관리 시스템은 자동화 공장의 제조 공정 중 제품이나 장애 상황에 대한 이해를 빠르게 하도록 하여 의사결정 하는데 기여할 것이다.

• Proceedings of the KSR Conference
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• 2009.05a
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• pp.1164-1171
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• 2009

It has been 5 years since KTX high speed train was operated by KORAIL in Korea in April 2004. As for KTX train, France TGV was optimally renovated to make it, considering Korean geographical and environmental features. The research and development about KTX make it possible that train's exterior device design has the original design capability but, KTX train control & diagnosis design remains in the level of imitation. In order to analyze KTX train's diagnosis & control data, there are a collection method, using VME analysis device and method of analyzing control data structure and the operating and design capability about train control & diagnosis device should be secured. As the various high speed trains are operated in tracks, high speed train's safety driving and reduction of expense are necessary, by preparing in advance various train diagnosis & control which is indispensable to train operator. With the simplified train diagnosis & control design, Korean type high speed train's manufacture capability and operating capability should be improved and Korea's international status as a nation of operating high speed train should be established.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.6
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• pp.153-172
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• 2018

Overloading of Commercial vehicles have been an important area of transportation as one of the main causes of pavement damage, bridge collapse, severe traffic accident, etc. In this study, we analyzed the effects of overweight prevention by analyzing overweight driving patterns and using weight sensors. First, we analyzed relevant literatures of overweight and surveyed the commercial weight sensors. Then we chose the typical type of overweight vehicles based of overweight enforcement data analysis. MEMs inclinometer weight sensor were installed to 10 test vehicles and data was collected by weight sensors and gps in real time. As a result of gross vehicle weight and axle weight analysis, it was found weight sensor could decrease overweight rate. However, since the number of samples of test vehicles is insufficient to represent the whole commercial vehicle, further studies are deemed possible through the extension test.

• Journal of Korean Port Research
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• v.12 no.1
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• pp.55-64
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• 1998

Directed graphic algorithm was applied to an empirical analysis of traffic occupant fatalities based on a model by Crandall. In this paper, Crandall's data on U.S. traffic fatalities for the period 1947-1981 are focused and extended to include 1982-1993. Based on the 1947-1981 annual data, the directed graph algorithms reveal that occupant traffic deaths are directly caused by income, vehicle miles, and safety devices. Vehicle mileage is caused by income and rural driving. The estimation is conducted using three stage least squares regression. Those results show a difference between the traditional regression methodology and causal graphical analysis. It is also found that forecasts from the directed graph based model outperform forecasts from the regression-based models, in terms of mean squared forecasts error. Furthermore, it is demonstrates that there exists some latent variables between all explanatory variables and occupant deaths.

• Journal of Navigation and Port Research
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• v.46 no.1
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• pp.33-41
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• 2022

An important operational goal of a container terminal is to maximize the efficiency of the operation of quay cranes (QCs) that load and/or unload containers onto and from vessels. While the maximization of the efficiency of the QC operation requires minimizing the delay of yard tractors (YT) that transport containers between the storage yard and QCs, the delay is often inevitable because of traffic congestion. In this paper, we propose a method for learning a model that predicts traffic speed in a terminal using only YT operation data, even though the YT traffic is mixed with that of external trucks. Without any information on external truck traffic, we could still make a reasonable traffic forecast because the YT operation data contains information on the YT routes in the near future. The results of simulation experiments showed that the model learned by the proposed method could predict traffic speed with significant accuracy.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.4
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• pp.55-66
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• 2020

This study developed four algorithms and their associated indices that can quantify and qualify road hazards along roadways. Initially, relevant raw data can be collected from commercial vehicles by camera and DTG. Well-processed data, such as potholes, road freezing, and fog, can be generated from the Integrated management system. Road hazard algorithms combine these data with road inventory data in the Data Sharing Platform. Depending on well-processed data, four different road hazard algorithms and their associated indices were developed. To test the algorithms, an experimental plan based on passive DTG attached in probe vehicles was performed at two different test locations. Selection of the test routes was based on historical data. Although there were limitations using random data for commercial vehicles, hazardous roadways sections, such as fog, road freezing, and potholes, were generated based on actual historical data. As a result, no algorithm error was found in the entire test. Because this study provides road hazard information according to a section, not a point, it can be practically helpful to road users as well as road agencies.

• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.685-697
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• 2019

The study aimed to analyze the structure of China's passenger railway network in the years of 2008, 2013, and 2018, respectively. At the same time, it tried to investigate its derivative impact on the patterns of Chinese urban network. The analytical tool was based on the NetMiner4.0. In order to measure network characteristics of China's passenger railway network, it primarily focused on the degree centrality, betweenness centrality, and closeness centrality. First of all, the higher degree centralities, with a few exceptions, were observed in BeiJing, ShangHai, GuangZhou, WuHan, XiAn, ChengDu, HaErBin, and ShenYang over a decade. In contrast, the higher betweenness centralities were recorded in cities of higher development potential including WuLuMuQi, GuiYang, ShenYang, and KunMing. The closeness centrality analyses confirmed the fact that most metropoles like BeiJing, ShangHai, and GuangZhou kept the highest train accessibility during the same research period. At the same time, the opening up of a new stretch of high speed railway network has consecutively strengthened connectivity between BeiJing and TianJin. Owing to unprecedented development of railway traffic and its extensive operations, this study believes that Chinese major cities, without interruption, would pursue a series of urban policy alternatives geared towards railway stations-oriented networking and competitively try to extend their network ranges.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.544-545
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• 2015

오늘날 자동차에서 배출되는 유해 가스로 인한 지구 온난화를 막기 위하여 많은 환경규제를 받고 있다. 때문에 대부분의 국가들은 출시되는 자동차나 운행 중인 자동차에 대하여 배출가스 검사를 의무적으로 실시하여 배출가스에 의한 대기오염을 줄일 수 있도록 법제화하고 있다. 본 논문에서는 "배출가스 검사/진단시스템" 개발에 대한 고찰을 통하여 배출가스, RPM, 소음을 측정할 수 있는 MCU(micro controller unit) 기반의 데이터 계측기에 대한 설계방안을 제시하고자 한다. 또한, MCU를 기반으로 배출가스(HC, CO, CO2 등) 데이터 확보를 위한 광학 필터처리 기술 및 신호처리 알고리즘을 검토하였다. 자동차의 RPM을 측정할 수 있는 알고리즘에 대한 검토와 배출가스 및 소음을 측정할 수 있는 알고리즘을 개발하여 RS-485, TCP/IP 기반으로 데이터를 전송할 수 있는 배출가스 검사시스템을 제시하고자 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.509-510
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• 2014

본 연구 개발에서는 육로가 아닌 바다에서의 해양 환경 상태와 어선의 운행 시 사고 영상을 저장 확인할 수 있는 소형 어선용 영상저장 및 환경 데이터 저장 Set-top Box를 개발하고자 한다. 소형어선들은 매우 필요하나 장비의 고가로 인하여 구축하기가 어려워 저가의 장비의 개발은 필수적이다. 이를 기반으로 현재 해양경찰에서 사용하고 있는 무선통신 방식과 접목하여 사고나 위험한 상황 시 해양경찰이나 관제센터로 영상 및 데이터를 전송하여 해양에서 얻을 수 있는 각종 해양 환경정보 및 각 선박들의 안전에도 기여하고자 한다.