• 제목/요약/키워드: Road map

검색결과 908건 처리시간 0.029초

호남지역 Sea Grant 사업의 지역현안과제 개발 및 발전방향에 대한 연구 (A Strategic planning to develop regional pending problems of Honam Sea Grant college program and it's progress)

  • 남택근;양원재;김대희;임정빈
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2006년도 춘계학술대회 및 창립 30주년 심포지엄(논문집)
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    • pp.171-175
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    • 2006
  • 본 연구는 해양 수산분야의 연구개발, 교육홍보 및 대민봉사활동을 목적으로 2006년에 발족한 호남 Sea Grant 사업단의 발전에 필요한 전략계획을 수립하기 위한 것이다. 먼저, 호남 Sea Grant 사업단의 발전계획 수립목적 및 관련 사업동향을 살펴보고, 시급하게 추진해야 할 현안과제의 사업방향 및 내용에 대해서 언급한다. 다음으로 수요자, 관련자 및 관련단체와의 협의를 통한 발전전략계획의 필요성과 국 내외의 Sea Grant 사업 관련기관과의 네트웍을 체제구축을 통한 상호 발전방향에 대해 살펴볼 것이다.

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3차원 공간 모형 데이터의 구축과 활용 (3D Spatial Data Model Design and Application)

  • 이준석
    • 한국측량학회지
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    • 제23권2호
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    • pp.109-116
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    • 2005
  • 3차원 공간 모형, 즉 3차원 CG 도시 모델은 건물이나 도로, 강 등의 사회 환경을 가상공간으로 표현하고 GIS(지리 정보 시스템)등의 정보 시스템에서 데이터를 축적${\cdot}$관리하여 광범위한 분야에서 다양한 활용이 기대되는 중요한 정보기반이다. 현재는 이러한 3차원 CG 도시 모델 구축을 위한 데이터 취득이나 모델 작성에는 많은 수작업이 필요하고 막대한 시간과 노력이 걸린다. 본 논문에서는 $\lceil$3차원 공간 데이터 기반$\rfloor$을 GIS와 CG로 통합화하고 자동 생성한 정보 시스템에 관하여 소개한다. 이 시스템에서는 GIS가 관리${\cdot}$축적한 수치지도상의 건물 경계선 다각형에 대하여 필터링, 다각형분할, 윤곽선의 생성 등의 처리를 하고 CG 시스템이 이것의 데이터를 받아서 지형의 도형 정보와 속성 정보를 설계하여 건물이나 도로 등의 3차원 CG 모델을 자동 생성한다.

우리나라 화훼브랜드 실태 및 몇 가지 제안 (Flower Brand Status and the Some Suggestions of Korea)

  • 김준기;김유선;유병열
    • 화훼연구
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    • 제17권4호
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    • pp.336-341
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    • 2009
  • 최근 우리나라의 화훼산업은 농가, 재배면적, 소득의 계속적인 감소로 어려운 상황에 놓여있어 이러한 문제의 해결방안으로 화훼산업의 브랜드 실태조사 및 몇 가지 전망을 하였다. 일본의 화훼브랜드는 체인스토어나 프랜차이즈 형식으로 체계적인 화훼브랜드가 정착되어있으나 우리나라는 화훼브랜드만이 가지고 있는 고유한 이미지와 스타일을 아직 가지지 못한 실정이었다. 하지만 우리나라에서 10 cm 실내 분화식물, 어버이날 카네이션 상품 및 근조 및 축하용 화환의 성공적인 브랜드가 탄생하여 소득을 창출할 수 있다면 그 효과가 파급되어 브랜드 비즈니스가 성공할 수 있을 것이라 기대해본다.

도로교통소음에 대한 고층건물의 외부 소음분포 예측에 관한 연구 (A study on the Prediction of the Road Traffic Noise Distribution around the High-Rise Building)

  • 정석환;김대웅;임태섭;김병선
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2006년도 하계학술발표대회 논문집
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    • pp.1087-1092
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    • 2006
  • Recently, traffic noise level is rapidly increasing, and it is crowed caused by recently overcrowded and overgrown cities, and increasing traffic volume is emerging as a major factor of disrupting the living and working environment. In this situation, citizens are increasingly complaining about the traffic noise. The noise level of in major cities in Korea is serious and affects on citizens physically and psychologically. Many people live in residential areas around crowed roads in major cities, such as Seoul. Accordingly, the purpose of this study is to predict outside noise distribution of building through survey and simulation to make better sound insulation performance research. The result of this study shows that the traffic noise is influenced from ground 50m and analyzed that form of building and arrangement type must be considered to the level of noise decrease.

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Traffic Emission Modelling Using LiDAR Derived Parameters and Integrated Geospatial Model

  • Azeez, Omer Saud;Pradhan, Biswajeet;Jena, Ratiranjan;Jung, Hyung-Sup;Ahmed, Ahmed Abdulkareem
    • 대한원격탐사학회지
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    • 제35권1호
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    • pp.137-149
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    • 2019
  • Traffic emissions are the main cause of environmental pollution in cities and respiratory problems amongst people. This study developed a model based on an integration of support vector regression (SVR) algorithm and geographic information system (GIS) to map traffic carbon monoxide (CO) concentrations and produce prediction maps from micro level to macro level at a particular time gap in a day in a very densely populated area (Utara-Selatan Expressway-NKVE, Kuala Lumpur, Malaysia). The proposed model comprised two models: the first model was implemented to estimate traffic CO concentrations using the SVR model, and the second model was applied to create prediction maps at different times a day using the GIS approach. The parameters for analysis were collected from field survey and remote sensing data sources such as very-high-resolution aerial photos and light detection and ranging point clouds. The correlation coefficient was 0.97, the mean absolute error was 1.401 ppm and the root mean square error was 2.45 ppm. The proposed models can be effectively implemented as decision-making tools to find a suitable solution for mitigating traffic jams near tollgates, highways and road networks.

경복궁 서측 지역의 도시조직 변화와 사회적 의미 고찰 - 근대기 이후 누하동, 필운동의 주요 사례 필지를 중심으로 - (A study on the changes of urban organization and social meaning in the western Area of Gyeongbokgung Palace - Focused on Nuha-dong and Pilun-dong after the modern era -)

  • 배창현
    • 건축역사연구
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    • 제31권3호
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    • pp.31-40
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    • 2022
  • In the historical city center where overall development has not been made, it is not difficult to observe the asp ect of the urban change process over time accumulated. Seochon(西村), which collectively refers to 13 legal dong s in the west of Gyeongbokgung Palace, is also considered a representative historical village with high value as a historical and cultural cityscape because of historical context remains throughout the lot. Therefore, research ex amining the process of changing parcels in this area is useful for a more three-dimensional understanding of the presence of several layers of time. In this study, relationship between the opening time of each road, the river co ver process, and the current building establishment process is examined using maps after the pre-modern period and modern era. In addition, to examine the specific change process of individual lots using the old land register, building management ledger and cadastral map.

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

  • 김경수;이재인;곽석우;강원율;신대영;황성호
    • 드라이브 ㆍ 컨트롤
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    • 제19권3호
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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.

Kenaf Is the Key to Go Green in the Era of Environmental Crisis: A Review

  • In-Sok Lee;Yu-Rim Choi;Ju Kim
    • 한국자원식물학회지
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    • 제35권6호
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    • pp.820-824
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    • 2022
  • Ecologically sustainable means of development is the point to support environmental homeostasis. One of our roles is to find bio-degradable resources that can be substituted for petroleum-based products to effectively abide by the natural viability. To counter the issues of deforestation and preserve biodiversity, it is necessary to produce a non-wood crop that can fulfill the requirement for raw material from which several products can be produced. Kenaf (Hibiscus cannabinus), a member of the family Malvaceae, is showing sufficient potentiality along this road-map. Due to its rich fiber content, it has been used extensively in various fields for long, probably as early as 4,000 BC. At present, kenaf has been used as provider of paper, plastics, fiber glass, biofuel, activated carbon and epoxy composite. This obviously catch one's attention towards its capability to replace petroleum-based products as a whole. Moreover, the plant shows considerable relevance in decreasing pollutants by virtue of its enormous absorption capacity. These multiple applications of kenaf justify its credibility to be the best resource for the better world. The paper presents an overview on its numerous uses reported in the literature that we have investigated and its great potential as a valuable multipurpose crop.

수소 전주기 경제성 분석 프로그램 개발 (Economic Analysis Program Development for Assessment of Hydrogen Production, Storage/Delivery, and Utilization Technologies)

  • 김수현;유영돈;박혜민
    • 한국수소및신에너지학회논문집
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    • 제33권6호
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    • pp.607-615
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    • 2022
  • In this study, economic analysis program was developed for economic evaluation of hydrogen production, storage/delivery, and utilization technologies as well as overseas import of hydrogen. Economic analysis program can be used for the estimation of the levelized cost of hydrogen for hydrogen supply chain technologies. This program include five hydrogen production technology on steam methane reforming and water electrolysis, two hydrogen storage technologies (high compressed gas and liquid hydrogen storage), three hydrogen delivery technologies (compressed gas delivery using tube trailer, liquid hydrogen, and pipeline transportation) and six hydrogen utilization technologies on hydrogen refueling station and stationary fuel cell system. In the case of overseas import hydrogen, it was considered to be imported from five countries (Austraila, Chile, India, Morocco, and UAE), and the transportation methods was based on liquid hydrogen, ammonia, and liquid organic hydrogen carrier. Economic analysis program that was developed in this study can be expected to utilize for planning a detailed implementation methods and hydrogen supply strategies for the hydrogen economy road map of government.

머리 안전·보호구 기술의 국내 특허 및 실용신안 출원 동향 (Trend of DomeTrend of Domestic Patent and Utility Model Application of Head Protector Technologystic Patent and Utility Model Application of Head Protector Technology)

  • 한현정;전은경
    • 한국의류학회지
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    • 제46권6호
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    • pp.1128-1141
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    • 2022
  • Due to increased interest in safety in sports, leisure, industries, and daily life; the demand for products that protect the head is increasing. As a preparatory study for the development of head protection for head injury prevention, this study analyzed patents and utility models related to head protection products such as industrial safety helmets, vehicle helmets, and sports protection gear. For this study, 368 patents and utility models for head protection products searched through WipsOn were selected and analyzed by application year, function, application, protection area, main material, and subject. From the analytic results of this study, the quantitative and qualitative flow and characteristics of developing technology related to head protection products were identified. Through the trend of current technology, it provided data to seek the development direction in the future. The significance of this study is to secure objective data to establish a road map for creating new Intellectual Property for head protection products.