• Proceedings of the Korean Information Science Society Conference
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• 2004.04a
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• pp.154-156
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• 2004

최근 IC 설계 및 제조 기술의 급격한 진보에 따라 PC 보급이 포화상태에 이르면서 가전제품으로서 첨단을 자랑하던 PC가 일반 가정에서 TV의 보급률과 비슷해지며 대중화에 되어가고 있다. 이에 따라 임베디드 시스템 기술이 PC뿐 아니라 정보 가전, 정보 단말, 통신 장비, 항공, 군사, 물류, 금융, 차량, 교통, 사무 사업 제어 의료 등 전 분야에 걸쳐 다양하게 적용되고 있는 실정이다. 본 논문에서는 이러한 임베디드 시스템에서의 여러 디바이스를 효율적으로 관리하기 위한 한 가지 기법으로 프레임버퍼를 이용한 디바이스 통합 제어 모듈을 설계 및 구현하였다. 본 논문에서 제안하는 기법은 임베디드 시스템에서 사용자 인터페이스로만 부각되던 LCD 화면을 통해서 임베디드 시스템의 각종 디바이스를 진단하고 제어할 수 있게 하여 특별한 외부 장치 없이 곧바로 디버깅이 가능하도록 하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.11a
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• pp.693-696
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• 2004

무선 컴퓨팅 기술 및 이동 객체의 위치를 정확하게 추적할 수 있는 GPS 기술의 발달로 인하여 물류 차량 관리, 항공 교통 통제 등과 같은 실시간 환경의 위치 정보 응용시스템의 개발이 활발해지고 있다. 특히, 지리정보와 위치정보를 이용한 현장업무처리 시스템과 차량의 위치를 관제 센터에서 실시간으로 파악하는 차량 위치 추적 시스템에 관한 연구가 대표적인 응용 시스템으로 등장하였다. 이러한 변화에 따라 이동성을 지원하는 무선 단말기를 기반으로 한 Mobile GIS 환경에서의 위치 정보 활용은 큰 관심을 불러일으키고 있으며, 또한 이러한 서비스를 효율적으로 제공하기 위해서 위치 기반 서비스 (LBS:Location Based Service)의 기술개발이 필요하게 되었다. 본 논문에서는 전력설비 고장복구업무에 LBS를 적용하기 위해 차량에 장착하는 MDT에서 국가기본도와 전력설비도 지리정보 서비스가 가능한 Mobile GIS Engine을 설계하고 구현한 결과를 제시한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.583-584
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• 2020

철도의 고속화 및 수송력 증대로 인하여 철도 터널 및 주변 환경에서 발생하는 소음 및 진동 공해는 커다란 사회문제로 대두되고 있으며, 도시의 고층화로 인해 차단벽을 이용한 방음 기술의 한계와 철도 차량의 고속, 경량화 추세로 인한 소음. 진동, 위험상황으로 인한 문제는 지속적으로 발생하고 있다. 본 논문에서는 IoT 기술을 결합한 안정성을 보장하는 IT 기반기술의 위험상황 감지, 철도 소음진동 분석, 모니터링 및 제어할 수 있는 시스템을 설계하고, 철도 인근지역 주민 또는 유관기관에 소음진동 수치에 따른 적합한 대응 시스템을 제공할 수 있는 IoT 기술 제어 분석 및 안정화 서비스 시스템을 설계하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.469-470
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• 2023

내연기관 자동차는 연료 소모로 인해 대기 중에 유해 물질과 온실가스를 배출한다. 반면에 전기 자동차는 전기로 작동되어 대기 중 오염을 줄이고 친환경적인 운행을 제공한다. 전기차 대여 시스템을 도입함으로써, 사용자들에게 친환경적인 교통수단을 이용할 수 있는 기회를 제공하고, 탄소 배출량을 줄이는 데 크게 기여할 수 있기에 해당 연구를 진행하였다. 이 연구에는 React 기반의 Next.js 웹 프레임워크를 이용하여 클라이언트 측과 서버 측 렌더링을 지원하고 사용자들에게 빠른 반응 속도와 사용 편의성을 제공한다. Bootstrap을 이용하여 사용자 인터페이스(UI)를 개발하고, 전기 자동차 대여 서비스에 필요한 화면을 구성하였다. 또한 Node.js 기반의 Express.js 웹 프레임워크를 이용하여 서버 사이드 로직과 RESTful API를 개발하는 데 사용하고 데이터베이스와의 통신, 사용자 인증, 대여 정보 관리 등을 처리하였다. 이러한 기술적 개발을 통해 전기 자동차 대여 시스템은 실용적이고 효율적인 서비스를 제공하며, 환경 보호와 탄소 배출 감소에 기여할 수 있는 프로젝트라고 볼 수 있다.

• Journal of Korean Society of Transportation
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• v.18 no.4
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• pp.117-126
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• 2000

Conventional methods for collecting origin-destination trips have been mainly relied on the surveys of home or roadside interview. However, the methods tend to be costly, labor intensive and time disruptive to the trip makers, thus the methods are not considered suitable for Planning applications such as routing guidance, arterial management and information Provision, as the parts of deployments in Intelligent Transport Systems Motivated by the problems, more economic ways to estimate origin-destination trip tables have been studied since the late 1970s. Some of them, which have been estimating O-D table from link traffic counts are generally Entropy maximizing, Maximum likelihood, Generalized least squares(GLS), and Bayesian inference estimation etc. In the Paper, with user equilibrium constraint we formulate GLS problem for estimating O-D trips and develop a solution a1gorithm by using Genetic Algorithm, which has been known as a g1oba1 searching technique. For the purpose of evaluating the method, we apply it to Seoul inner ringroad and compare it with gradient method proposed by Spiess(1990). From the resu1ts we fond that the method developed in the Paper is superior to other.

• Journal of the Korean Association of Geographic Information Studies
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• v.16 no.3
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• pp.91-102
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• 2013

The purpose of this study is to suggest the way of effective use of spatial data in Busan metropolitan city. To do so, information systems and spatial data established in each department are analyzed. Spatial data distribution networks scattered around the nation are integrated to the national spatial information clearinghouse and the service is expanded for the public and the private sectors to participate. Information systems supplied by the central government are 22 and information systems operating in the Busan Metropolitan City are 168. In addition, there are also 295 types of the thematic maps in 11 fields related to the environment, road transportation, livestock, and etc. For systems integration and management system, an integrated information management and linkage system is required in the near future. In the next logical step, generation of metadata, experiments for effective utilization of spatial data, and construction of the data center should be necessary.

• Journal of the Korea institute for structural maintenance and inspection
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• v.23 no.1
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• pp.154-162
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• 2019

Large scale damage has been globally increased due to natural disasters such as earthquake. Although a variety of studies secured seismic performance of buildings, casualties and economic loss have occurred because of poor security of seismic performance in non-structural components. Structure's location on which non-structural components are installed and characteristics of vibration occurring on each position of structures are varied, so a response spectrum is required for each position of structures. In addition, a response spectrum occurring in a structure is different, depending on the form of it and positions on which it is installed. Therefore, selection of a response spectrum is important, so a definite method for calculating the response spectrum which acts on non-structural components is necessary. A method for choosing a response spectrum is suggested in this paper, and a structural analysis was conducted with the suggested method, by selecting a ground response spectrum and a structural system, which may occur in Korea. Moreover, it helps create a response spectrum necessary for a seismic test of non-structural components, by suggesting the method for deduction it, with a simple formula.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.4
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• pp.353-361
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• 2020

Due to the rapid urbanization, various traffic problems such as traffic jams during commute and regular traffic jams are occurring. In order to solve these traffic problems, it is necessary to quickly and accurately estimate and analyze traffic volume. ITS (Intelligent Transportation System) is a system that performs optimal traffic management by utilizing the latest ICT (Information and Communications Technology) technologies, and research has been conducted to analyze fast and accurate traffic volume through various techniques. In this study, we proposed a deep learning-based vehicle detection method using UAV (Unmanned Aerial Vehicle) video for real-time traffic analysis with high accuracy. The UAV was used to photograph orthogonal videos necessary for training and verification at intersections where various vehicles pass and trained vehicles by classifying them into sedan, truck, and bus. The experiment on UAV dataset was carried out using YOLOv3 (You Only Look Once V3), a deep learning-based object detection technique, and the experiments achieved the overall object detection rate of 90.21%, precision of 95.10% and the recall of 85.79%.

• Smart Media Journal
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• v.11 no.11
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• pp.49-62
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• 2022

Recently, with the development of Smart City Solutions such as Big data, AI, IoT, Autonomous driving, and Digital twins around the world, the proliferation of various smart devices and social media, and the record of the deeds that people have left everywhere, the construction of Smart Cities using the "Big Data" environment in which so much information and data is produced that it is impossible to gauge the scale is actively underway. The Purpose of this study is to construct an objective and systematic analysis Model based on Big Data to improve the transportation convenience of citizens and formulate efficient policies in Urban Information and Public Transportation accessibility in sustainable Smart Cities following the 4th Industrial Revolution. It is also to derive the methodology of developing a Big Data-Based public transport accessibility and policy management Platform using a sustainable Urban Public DB and a Private DB. To this end, Detailed Living Areas made a division and the accessibility of basic living amenities of Gwangju Metropolitan City, and the Public Transportation system based on Big Data were analyzed. As a result, it was Proposed to construct a Big Data-based Urban Information and Public Transportation accessibility Platform, such as 1) Using Big Data for public transportation network evaluation, 2) Supporting Transportation means/service decision-making based on Big Data, 3) Providing urban traffic network monitoring services, and 4) Analyzing parking demand sources and providing improvement measures.

• International Journal of Highway Engineering
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• v.13 no.2
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• pp.95-102
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• 2011

Anti-icing system can immediately respond when snowing is expected or the snow comes down on the road surface. It has been recognized that the system can reduce traffic accidents and congestion by quickly removing the frozen road surface area. However, it is very difficult to implement this system due to the expensive equipment installation and operation cost, Recently, there was a developed program for predicting the freezing area using three-dimensional model and tracking the sun path. But, there is no objective analysis method and all developed approaches are different so that the general standard of anti-icing system is needed. In this study, we proposed the decision criteria for determining application priorities of the anti-icing system based on weather and road conditions, i.e., geometric and topographic conditions. Regional climate survey, topographical analysis, and dynamic vehicle simulation considered road geometry and skid resistance was conducted to standardize the installation method of anti-icing system.