• Title/Summary/Keyword: Technology road map

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Prospect of Technology for Development NxTIS based on the Real OD (Real OD 기반 차세대 교통정보시스템 관련 기술 전망)

  • Oh, Suk-Mun;Yeo, Joo-Hong;Min, Jea-Hong;Lee, In-Mook;Eom, Jin-Ki;Lee, Jun;Shin, Seung-Kwon;Kwon, Tae-Soo;Kim, Seong-Ho
    • Proceedings of the KSR Conference
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    • 2010.06a
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    • pp.1148-1158
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    • 2010
  • This paper addresses prospect of the technology for development of NxTIS (NeXt generation Transport Information System) that is targeted to shifting Korean public transit framework to railway-centered one. The Seoul metropolitan area has adopted the smart-card as a payment system for the public transportation since 2004. The transportation record can be used as quite useful information for better planning and operating of the railway system, particularly when the smart-card based payment system is extended to whole nation. This paper introduces technologies to develop Real OD DB and NxTIS, and presents road-map for them. A variety of benefits from the development of the system are estimated both in quantitative and qualitative. The Real OD DB based NxTIS will work to highly prospective for creating a novel value in the railway as a public transportation system.

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SCALING ANALYSIS IN BEPU LICENSING OF LWR

  • D'auria, Francesco;Lanfredini, Marco;Muellner, Nikolaus
    • Nuclear Engineering and Technology
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    • v.44 no.6
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    • pp.611-622
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    • 2012
  • "Scaling" plays an important role for safety analyses in the licensing of water cooled nuclear power reactors. Accident analyses, a sub set of safety analyses, is mostly based on nuclear reactor system thermal hydraulics, and therefore based on an adequate experimental data base, and in recent licensing applications, on best estimate computer code calculations. In the field of nuclear reactor technology, only a small set of the needed experiments can be executed at a nuclear power plant; the major part of experiments, either because of economics or because of safety concerns, has to be executed at reduced scale facilities. How to address the scaling issue has been the subject of numerous investigations in the past few decades (a lot of work has been performed in the 80thies and 90thies of the last century), and is still the focus of many scientific studies. The present paper proposes a "roadmap" to scaling. Key elements are the "scaling-pyramid", related "scaling bridges" and a logical path across scaling achievements (which constitute the "scaling puzzle"). The objective is addressing the scaling issue when demonstrating the applicability of the system codes, the "key-to-scaling", in the licensing process of a nuclear power plant. The proposed "road map to scaling" aims at solving the "scaling puzzle", by introducing a unified approach to the problem.

Construction of Database for Deep Learning-based Occlusion Area Detection in the Virtual Environment (가상 환경에서의 딥러닝 기반 폐색영역 검출을 위한 데이터베이스 구축)

  • Kim, Kyeong Su;Lee, Jae In;Gwak, Seok Woo;Kang, Won Yul;Shin, Dae Young;Hwang, Sung Ho
    • Journal of Drive and Control
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    • v.19 no.3
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    • pp.9-15
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    • 2022
  • This paper proposes a method for constructing and verifying datasets used in deep learning technology, to prevent safety accidents in automated construction machinery or autonomous vehicles. Although open datasets for developing image recognition technologies are challenging to meet requirements desired by users, this study proposes the interface of virtual simulators to facilitate the creation of training datasets desired by users. The pixel-level training image dataset was verified by creating scenarios, including various road types and objects in a virtual environment. Detecting an object from an image may interfere with the accurate path determination due to occlusion areas covered by another object. Thus, we construct a database, for developing an occlusion area detection algorithm in a virtual environment. Additionally, we present the possibility of its use as a deep learning dataset to calculate a grid map, that enables path search considering occlusion areas. Custom datasets are built using the RDBMS system.

A Basic Study on Mode of Operation for Maritime Autonomous Surface Ship

  • Jeong-Min, Kim;Hye Ri, Park
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2023.05a
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    • pp.162-163
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    • 2023
  • As the development of the 4th industiral revolution in the maritime industry has progressed, the technical development of autonomous ships, and the development of international regulations have been accelerated. In particular, the IMO Maritime Safety Committee(MSC) has established a road-map for the development of the non-mandatory goal-based MASS instrument(MASS Code) and started developing a non-mandatory MASS Code at MSC 105th meeting. Many countries are actively participating in the Correspondence Group on the development of MASS Code, and the development of detailed requirements for MASS functions in the MASS Code is underway. Especially, the concept of "Mode of Operation" for MASS functions was mentioned in the Correspondence Group for the first time, and it is expected that discussions on these modes will be conducted from the IMO MASS JWG meeting to held in April 2023. The concept of "Mode of Operation" will be useful in explaining MASS and MASS functions and will be discussed in the future for the development of MASS Code. This paper reviews the contents of the IMCA M 220 document, which provides guidelines on operating modes, to conduct research on the benchmark for setting the operating modes of MASS.

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Land Cover Classification by Using Landsat Thematic Mapper Data in Pyeongtaeg City (Landsat TM 화상자료(畵像資料)를 이용한 평택시지역 지표피복분류(地表被覆分類))

  • Rim, Sang-Kyu;Hong, Suk-Young;Jung, Won-Kyo;Kim, Moo-Sung
    • Korean Journal of Soil Science and Fertilizer
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    • v.34 no.5
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    • pp.342-349
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    • 2001
  • This study was carried out to classify and evaluate the land cover map using Landsat TM data in Pyeongtaeg City. DGPS data, aerial photography, topographical map were used for selection the training sets and accuracy assessment. The overall accuracy and Kappa coefficient of the land cover classification map(using supervised classification with 13 classes) with Landsat TM data(16 June. 1997) were respectively, 86.8%, 85.4%, but the user's accuracy of urban/village and vinyl-house was below 60%, and the producer's accuracy of read and vinyl-house below 70%. Maybe it was caused the spectral reflectance characteristics, heterogeneity and small distribution area on the artificial things such as urban/village, vinyl_house and road, etc. And then, the agricultural land cover classification system using remote sensing data in Korea was to classify level I and II. Level I consisted of 5 classes such as agricultural land, forest land, water, barren land, urban and built-up land.

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An SAO-based Text Mining Approach for Technology Roadmapping Using Patent Information (기술로드맵핑을 위한 특허정보의 SAO기반 텍스트 마이닝 접근 방법)

  • Choi, Sung-Chul;Kim, Hong-Bin;Yoon, Jang-Hyeok
    • Journal of Technology Innovation
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    • v.20 no.1
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    • pp.199-234
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    • 2012
  • Technology roadmaps (TRMs) are considered to be the essential tool for strategic technology planning and management. Recently, rapidly evolving technological trends and severe technological competition are making TRM more important than ever before. That is because TRM plays a role of "map" that align organizational objectives with their relevant technologies. However, constructing and managing TRMs are costly and time-consuming because they rely on the qualitative and intuitive knowledge of human experts. Therefore, enhancing the productivity of developing TRMs is one of the major concerns in technology planning. In this regard, this paper proposes a technology roadmapping approach based on function of which concept includes objectives, structures and effects of a technology and which are represented as Subject-Action-Object structures extractable by exploiting natural language processing of patent text. We expect that the proposed method will broaden experts' technological horizons in the technology planning process and will help to construct TRMs efficiently with the reduced time and costs.

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Technology Strategy based on Patent analysis (특허분석을 이용한 기술전략수립)

  • Kim, Jong-Chan;Lee, Joon-Hyuck;Park, Sang-Sung;Jang, Dong-Sik
    • Journal of the Korean Institute of Intelligent Systems
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    • v.26 no.2
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    • pp.141-146
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    • 2016
  • By occasion of propagation of 3D TV, technology of glassless 3D display is increasingly important. Currently, there was no lead technology In this technology. Thus it is important to develop differentiated technology for secure competitiveness. In this paper, We analyze patents for R&D strategy about glassless 3D display. Through Company-Technology matrix analysis and Patent trend analysis, We extract promising technology field and core technology. Lastly We suggest R&D strategy by using patent road map.

Road-map for Environmental Friendly Integrated Pest Management(IPM) of Insect Pests on the Strawberry Vinyl-houses of Farmer's Field (딸기재배 하우스에서 발생하는 해충의 환경친화적 종합적방제를 위한 로드맵)

  • Lee, D.H.;Jo, C.W.;Park, C.R.;Lee, H.J.;Kang, E.J.;Seok, H.B.;Seo, M.J.;Kim, H.Y.;Kim, Y.H.;Yu, Y.M.;Youn, Y.N.
    • Korean journal of applied entomology
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    • v.47 no.3
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    • pp.273-286
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    • 2008
  • Road-map for the environmental friendly integrated pest management(IPM) of insect pests was drawn up on the strawberry vinyl-houses of farmer's field. Major insect pests were occurred Tetranychus urticae and Aphis gossypii during the strawberry plant seeding in the vinyl house and open field. Also, same insect pests were occurred in the vinyl house during harvesting season of strawberry. For the control of T. urticae and A. gossypii, Phytoseiulus persimilis and Aphidius colemani as natural enemies were input to the vinyl house, respectively. However, because these natural enemies could not control insect pest populations, acaricide and insecticide were sprayed. Then natural enemies were input again in the vinyl house. Natural enemies could not endure the intense cold and differences of temperature and relative humidity between day and night during strawberry harvesting season. So, their behavior and control activity of pests were more decrease than pests. Firstly, natural enemies are input in the vinyl house during the early breeding season of strawberry, secondly, acaricides and insecticide are sprayed for the control of mites and aphids, respectively, during the middle breeding season in the hard winter. Finally, natural enemies are re-input in the vinyl house during the middle and late breeding season.

An Study on the Element Technologies of BIM and Importance Analysis of Them through Technology Development Status Analysis (BIM 기술개발 현황분석을 통한 기술개발요소 도출 및 중요도 평가에 관한 연구)

  • Kim, Ji-Yun;Lee, Da-Un;Song, A-Reum;Yun, Seok-Heon
    • Journal of the Korea Institute of Building Construction
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    • v.14 no.5
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    • pp.497-503
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    • 2014
  • In order to facilitate the application of BIM technologies in construction projects, a lot of developed countries such as Singapore and the United States are developing a technology development road-map of BIM. In order to develop it, current status of BIM technology in domestic projects must be analyzed in advance. In this study, the element technologies of BIM was identified and the current status and the importance priorities of them were analyzed and evaluated. The result shows that the level of technology developments is behind that of other advanced countries in most of the elements. In technology importance analysis, the BIM based preliminary planning technology and the standards for BIM service contracts are ranked in the high position and their developments are also delayed in Korea. The results of this analysis could show the direction of BIM technology development and also be used for developing the technology roadmap of BIM.

Automatic Change Detection Based on Areal Feature Matching in Different Network Data-sets (이종의 도로망 데이터 셋에서 면 객체 매칭 기반 변화탐지)

  • Kim, Jiyoung;Huh, Yong;Yu, Kiyun;Kim, Jung Ok
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.31 no.6_1
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    • pp.483-491
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    • 2013
  • By a development of car navigation systems and mobile or positioning technology, it increases interest in location based services, especially pedestrian navigation systems. Updating of digital maps is important because digital maps are mass data and required to short updating cycle. In this paper, we proposed change detection for different network data-sets based on areal feature matching. Prior to change detection, we defined type of updating between different network data-sets. Next, we transformed road lines into areal features(block) that are surrounded by them and calculated a shape similarity between blocks in different data-sets. Blocks that a shape similarity is more than 0.6 are selected candidate block pairs. Secondly, we detected changed-block pairs by bipartite graph clustering or properties of a concave polygon according to types of updating, and calculated Fr$\acute{e}$chet distance between segments within the block or forming it. At this time, road segments of KAIS map that Fr$\acute{e}$chet distance is more than 50 are extracted as updating road features. As a result of accuracy evaluation, a value of detection rate appears high at 0.965. We could thus identify that a proposed method is able to apply to change detection between different network data-sets.