• Journal of Korean Society of Transportation
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• v.19 no.6
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• pp.171-182
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• 2001

Travel Time is an important characteristic of traffic conditions in a road network. Currently, there are so many road users to get a unsatisfactory traffic information that is provided by existing collection systems such as, Detector, Probe car, CCTV and Anecdotal Report. This paper presents the results achieved with Data Fusion Model, Hybrid Neuro Fuzzy System for on - line estimation of travel times using RTMS(Remote Traffic Microwave Sensor) and Probe Data in the signalized arterial road. Data Fusion is the most important process to compose the various of data which can present real value for traffic situation and is also the one of the major process part in the TIC(Traffic Information Center) for analyzing and processing data. On-line travel time estimation methods(FALEM) on the basis of detector data has been evaluated by real value under KangNam Test Area.

• Journal of Navigation and Port Research
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• v.33 no.6
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• pp.415-421
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• 2009

Recently, the volume of transshipment containers in Busan Port has been declining significantly and domestic ports' throughput is shown far below the projected one. Accordingly, the national port development plan made to capture the sharply increasing demand in the past seems to be subject to an amendment, and inducing port container traffic becomes a key issue. In such situation this paper aims at analysing the effect of logistics cost saving when Japanese import and export containers are transshipped in Busan port. For this we developed 3 scenarios for the movement of containers through the major container ports in western cost of Japan, analysed logistics costs together with cost savings and finally derived some implication for inducing the containers to Busan Port.

• Spatial Information Research
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• v.19 no.6
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• pp.75-86
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• 2011

This paper proposes a modified way to delimit the boundary of Busan metropolitan area and compares the empirical analysis with the existing metropolitan area boundary. More specifically, the present state of the metropolitan transportation network is reflected by service area analysis in our study area. The analysis of the linkage between the central city and its fringes considers various travel behaviors as well as commuting to work and school, based on origin-destination trip information. In addition, more diverse indices are applied to the analysis of urban characteristics, and the land cover map is used as well. Compared with the current Busan metropolitan area boundary, our empirical analysis captures the status quo of the undergoing spatial dynamics such as the newly form ed homogeneous sphere of living in our study area.

• Journal of Korean Society of Transportation
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• v.28 no.5
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• pp.131-139
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• 2010

The transport mode choice problem is to determine which of the alternative transport modes connecting an origin and destination will be used by a traveler. Most of the research relating to transport mode choice have mainly been focused on modeling, properties, and applications of the model, but rarely were concerned with equilibrium among the modes. This paper proves the equilibrium among the modes by using a logit mode choice model, and then verifies it with the Korean Transport Database (KTDB). In order to obtain such an equilibrium, this paper also presents a solution algorithm based on the fixed point theorem. The algorithm was tested with an example and confirmed the equilibrium solution.

• Journal of Animal Environmental Science
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• v.2 no.1
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• pp.13-25
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• 1996

This study was conducted to analyze the technological levels of the domestic industries manufacturing the machinery and equipment for livestock production facilities and to lay out a scheme for upgrading the technical improvement. The results of this study are as follows : 1 . According to the study results, the technological levels of the domestic industries for livestock production facilities lag far behind those of the advanced countries in this field. 2. It was found that the ratio engaged in the areas of R&D was 10.7% and lower than that engaged in the other areas and the ratio of junior college graduated engineers engaged in the areas of research and design was 44.4%. Therefore, the amounts of investment for the areas of R&D and design should be increased. 3. In the design area, it was found from the study that the most weakness technologies which should be developed in near future were the universal harvester and the mechanical designing. Therefore, the multipurpose universal harvester suitable to the domestic farmland conditions should be developed and strength, hardness, and durability of materials in the mechanical designing should be improved.

• Journal of the Korean Regional Science Association
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• v.35 no.1
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• pp.47-57
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• 2019

Daegu Metropolitan City has been continuously carrying out core functions of Yeongnam region, and especially plays a role as export base of textile and chemical products in Korea. Also Daegu Metropolitan City has contributed greatly to the expansion of Korea's import and export trade and the growth of the national economy. The purpose of this study is to analyze the influence of major factors affecting GRDP in Daegu Metropolitan City through regression analysis. For this purpose, this study uses the Vector Error Correction Model(VECM) to estimate the long-run equilibrium function that affects the GRDP in Daegu Metropolitan City. This study is meaningful in that it uses the statistics related to Daegu provided by Province of Gyeongsangbuk-do and explains the dynamic characteristics of major factors affecting the GRDP in Daegu.

• The Journal of Bigdata
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• v.5 no.2
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• pp.85-95
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• 2020

In this study, a mobility analysis method is suggested to estimate an O/D trip demand estimation using Mobile Phone Signaling Data. Using mobile data based on mobile base station location information, a trip chain database was established for each person and daily traffic patterns were analyzed. In addition, a new algorithm was developed to determine the traffic characteristics of their mobilities. To correct the ping pong handover problem of communication data itself, the methodology was developed and the criteria for stay time was set to distinguish pass by between stay within the influence area. The big-data based method is applied to analyze the mobility pattern in inter-regional trip and intra-regional trip in both of an urban area and a rural city. When comparing it with the results with traditional methods, it seems that the new methodology has a possibility to be applied to the national survey projects in the future.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10c
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• pp.571-573
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• 1998

정보전달에 있어서 멀티미디어 정보가 차지하는 비중이 점점 증대됨에 따라 멀티미디어 데이터 암호화의 필요성이 부각되고 있는 실정이다. 그러나 기존의 암호화에 일반적으로 적용되어온 DES(Data Encription Standard)와 같은 전통적인 암호화 알고리즘은 멀티미디어 데이터를 암호화하여 실시간으로 처리하기에는 충분히 신속하지 못한 단점이 있다. 그래서 본 논문에서는 디지털 이미지 프로세싱 기법중 압축기법과암호화 기법을 일련의 과정으로 통합하여 멀티미디어 정보의 중요부분을 차지하는 디지털 이미지의 실시간 암호화 처리기법을 연구하였다. 디지털 이미지의 저주파수 성분과 고주파수 성분을 다단계의 레벨로 분리하여 각 대역별로 성분을 집중시킨 후 임의의 배치 순서로 재배치하는 방법을 통해 DCT(Discrete Cosine Transform)과정 및 양자화과정을 거친 공간주파수 성분을 Zig-Zag순서가 아닌 임의의 배치 순서로 재배열할 때 발생되는 이미지의 크기가 상대적으로 커지는 점과 저주파수 성분이 주요 성분으로 구성된 이미지의 경우 해독이 비교적 용이하다는 점, 또한 약간의 응용으로 각 블록의 DC값만을 추출하여 이미지의 주요 내용을 파악할 수 있는 문제점을 해결하였다.

• International Commerce and Information Review
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• v.18 no.3
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• pp.47-72
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• 2016

The Government of Korea has always focused on developing and maintaining a surplus on the balance of payments as a successful trade policy. The focus should now be on spatial information hiding, revealing patterns in trade activities that enable viewing trade in a more sophisticated manner. This study utilizes trade statistical data such as the United States-South Korea imports and exports from 2003 to 2015 officially released by the two countries. It allows us to analyze and extract the spatial information pertaining to the origin, transit, and destination. First, in the case of export data to the United States, the origin of the trade goods has expanded and decentralized from the metropolitan area. With regard to transit, in 2003, most of the exported goods were shipped by ocean vessels and arrived at the ports on the western coast of the United States. However, trade patterns have changed over the 12-year period and now more of that trade has moved to the southern ports of the United States. In terms of destination, California and Texas were importing goods from South Korea. With the development of the automotive industry in Georgia and Alabama, these two states also imported huge volumes of automobile parts. Second, in case of import data, most imported goods from the United States originated from California and Texas. In this case, 40% of goods were shipped by air freight and arrived at the Incheon-Seoul International Airport; most ocean freight was handled at the Port of Busan. The purpose of this study is to decompose the spatial information from the trade statistics data between Korea and the United States and to depict visualized bilateral trade structure by origin, transit, and destination.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.3
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• pp.461-467
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• 2019

Advances in location-aware and IoT (Internet of Things) technology increase the rapid generation of massive movement data. Knowledge discovery from massive movement data helps us to understand the urban flow and traffic management. This paper proposes a method to analyze frequent origin-destination sequence patterns from irregular spatiotemporal taxi pick-up locations. The proposed method starts by conducting cluster analysis and then run a frequent sequence pattern analysis based on identified clusters as a base unit. The experimental data is Seoul taxi trajectory data between 7 a.m. and 9 a.m. during one week. The experimental results present that significant frequent sequence patterns occur within Gangnam. The significant frequent sequence patterns of different regions are identified between Gangnam and Seoul City Hall area. Further, this study uses administrative boundaries as a base unit. The results based on administrative boundaries fails to detect the frequent sequence patterns between different regions. The proposed method can be applied to decrease not only taxis' empty-loaded rate, but also improve urban flow management.