• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.642-643
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• 2016

요즘은 다향한 IT 기술의 융합을 통해 구현되는 가상현실 기술은 사용자의 체험영역을 확대하고 물리적인 에너지와 각종 비용을 절감하는 기술로 주목을 받고 있다. 본 연구에서는 가상현실 기술을 활용한 가상훈련시스템의 몰입감과 상호작용 제공을 통한 학습효과가 높은 분야를 대상으로 연구하고자 한다. 가상현실 시스템의 국내외 현황에 대해 알아보고 국내 가상훈련 시스템의 수요를 분석하여 나아가야 할 발전 방향에 대해서 연구하고자 한다. 가상현실 기기들의 사용현황에 대해서 가상훈련수요를 고려한 사업의 로드맵을 구축하고자 한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.112-113
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• 2023

전세계적으로 기후변화 위기에 대응하기 위해 온실가스 감축을 위한 조치를 강화함에 따라 항만의 온실가스 감축 또한 중요성이 커지고 있다. 이에 세계 주요 선진항만은 항만 탄소중립을 목표로 로드맵, 계획 등을 수립하여 추진하고 있다. 반면, 우리나라는 항만 부문의 온실가스 감축을 위한 목표와 구체적인 실현 방안이 마련되어 있지 않으며, LED 조명 교체, AMP 구축 등의 파편적인 계획 추진이 이루어지고 있다. 또한 온실가스 관리를 위해서는 가장 기초적으로 에너지 사용량 등이 수집되어야 하나, 자료 수집을 위한 근거 및 체계 등이 부족하여 기초자료의 수집 단계부터 어려움이 있다. 따라서 본 연구의 목적은 항만 탄소중립의 필요성과 중요성을 강조하고 탄소중립 실현을 위한 관리체계 개선방안을 마련하는 것이다. 이를 위해 국내 탄소중립 관리체계와 해외 주요 선진항만의 탄소중립 관리체계를 면밀히 분석하여 현재 항만분야 탄소중립 관리체계의 문제점을 식별하고, 이를 개선하기 위한 방안을 제시하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.454-454
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• 2011

녹색성장은 최근 세계적인 이슈가 되고 있다. 세계물위원회(World Water Council, WWC)의 경우 2012년 마르세유에서 개최되는 제6차 세계물포럼(World Water Forum, WWF)에서 물문제 해결을 위한 신개념 패러다임으로서 '녹색성장(Green Growth)'을 채택하기 위한 협력방안의 필요성을 제안하고 있다. 우리나라에서는 이미 녹색성장을 국가 슬로건으로 선정하고 글로벌 녹색성장연구소(Global Green Growth, GGGI)를 설립하는 등 녹색성장을 선도하고 있다. 이는 물의 중요성에 비추어볼 때 녹색성장을 물 분야에 확산시킬 수 있는 적절한 기회로 보인다. 녹색성장은 물 관련 환경서비스가 환경오염 없는 경제성장을 이룩하는 데 주요한 역할을 수행할 수 있다는 가능성과 당위성에서 파생된 최근에 만들어진 개념으로서, 물 분야의 경우 녹색경제에 있어서 중요한 역할을 수행해왔으며 이후 지속적인 인구증가, 물 소비패턴의 변화, 에너지비용 증가, 기후 변화 등으로 물 분야의 중요성은 더욱 커질 것으로 기대된다. 이처럼 물 관리는 경제발전, 재해로부터 보호, 인간의 건강 및 생태계와 삶의 질을 위하여 필수적이기에 녹색성장에 있어 중요한 역할을 수행하고 있다. 하지만 올바른 물 관리가 녹색성장에 기여할 수 있는 방법에 대해서는 아직 명확화 구체화되지 못하고 있는 실정이다. 이에 따라 녹색성장을 새로운 국가 성장 동력의 패러다임으로 구축하기 위해 수자원분야에서의 녹색성장방법론을 정립하고, 선진국과 개도국 정부들의 균형 있는 참여를 통한 글로벌 파트너십 구축이 요구되고 있으며, 이를 세계물위원회 등 국제기구와 공동으로 연계시킨다면 상당한 시너지 효과가 기대된다. 물관리는 국가의 경제발전, 재해로부터 생명과 재산의 보호, 인간의 건강 및 생태계 다양성 및 건전성 유지와 삶의 질을 향상을 위하여 매우 중요하며, 환경보존과 경제성장을 동시에 추구하는 녹색성장을 실현하는 데 있어서도 가장 핵심적인 사항이라고 할 수 있다. 그러나 올바른 물 관리가 녹색성장에 기여할 수 있는 방법에 대해서는 아직 명확하고 구체화 되지 못하고 있는 실정이다. 따라서 본 연구에서는 '물과 녹색성장'의 이론적 배경, 필요성, 개념정립, 벤치마킹 사례, 국제사회에서의 녹색성장과 관련한 논의 기구 및 흐름 등의 이해를 기초로 녹색성장을 통한 경제성장의 상호작용과 선순환구조를 체계화시키기 위한 균형방안을 제시하고자 한다. 또한 수자원 및 하천관리 분야에서의 WGG구현을 위한 정책제안 및 실행방안이 담긴 중장기 로드맵을 구축하여 물을 통한 성장의 발판을 마련하고자 한다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.3
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• pp.149-156
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• 2021

This study collected and analyzed case studies related with the use of spatial information in North Korea to prioritize construction and required supporting processes in order to propose a short-term and long-term road map for the establishment of spatial information in North Korea. Recent research cases related to the prioritization of spatial information development were analyzed, and priority for the construction of infrastructure was derived based on the interconnectedness and relationship of national infrastructure. Due to the inaccessibility and remoteness of North Korea, all of the five studies determined priorities according to questionnaires and consulting of refugees and knowledgeable figures by expert groups. In summary, priority was given to unarmed and transborder areas, major cities, special zones, and development zones, while in terms of facilities, priority was given to power communication, railroads, water and sewage architectural buildings, roads, and dams. In the case of prioritizing the establishment of national infrastructure for the unified Korean Peninsula, the development of major areas, ports, and the related city-level spots to develop a line that promotes the sharing of routes such as transportation networks, water, and energy, thus leading to a scenario involving the development of cotton at an urban and national level.

• Journal of Broadcast Engineering
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• v.16 no.4
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• pp.573-583
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• 2011

In this paper, we propose an occlusion compensation algorithm which is used for virtual view generation. In general, since occlusion region is recovered from neighboring pixels by taking the mean value or median value of neighbor pixels, the visual characteristics of a given image are not considered and consequently the accuracy of the compensated occlusion regions is not guaranteed. To solve these problem, we propose an algorithm that considers primary visual characteristics of a given image to compensate the occluded regions by using seam carving algorithm. In the proposed algorithm, we first use Sobel mask to obtain the edge map of a given image and then make it binary digit 0 or 1 and finally thinning process follows. Then, the energy patterns of original and thinned edge map obtained by the modified seam carving method are used to compensate the occlusion regions. Through experiments with many test images, we verify that the proposed algorithm performed better than conventional algorithms.

• Journal of Energy Engineering
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• v.25 no.3
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• pp.114-129
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• 2016

Since the release of mid-term domestic GHG goals until 2020, in 2009, some various GHG reduction policies have been proposed to reduce the emission rate about 30% compared to BAU scenario. There are two types of modeling approaches for identifying options required to meet greenhouse gas (GHG) abatement targets and assessing their economic impacts: top-down and bottom-up models. Examples of the bottom-up optimization models include MARKAL, MESSAGE, LEAP, and AIM, all of which are developed based on linear programming (LP) with a few differences in user interface and database utilization. The bottom-up model for electric sector requires demand management, regeneration energy mix, fuel conversation, etc., thus it has a very complex aspect to estimate some various policies. In this paper, we suggest a bottom-up BAU model for electric sector and how we can build it through step-by-step procedures such that includes load region, hydro-dam and pumping storage.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.100-103
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• 2023

Recently, development of maritime autonomoust surface ships and eco-friendly ships, production and evaluation research considering various marine environments is needed in the field of optimal routes as the demand for accurate and detailed real-time marine environment prediction information expands. An algorithm that can calculate the optimal route while reducing the risk of the marine environment and uncertainty in energy consumption in smart ships was developed in 2 stages. In the first stage, a profile was created by combining marine environmental information with ship location and status information within the Automatic Ship Identification System(AIS). In the second stage, a model was developed that could define the marine environment energy map using the configured profile results, A regression equation was generated by applying Random Forest among machine learning techniques to reflect about 600,000 data. The Random Forest coefficient of determination (R²) was 0.89, showing very high reliability. The Dijikstra shortest path algorithm was applied to the marine environment prediction at June 1 to 3, 2021, and to calculate the optimal safety route and express it on the map. The route calculated by the random forest regression model was streamlined, and the route was derived considering the state of the marine environment prediction information. The concept of route calculation based on real-time marine environment prediction information in this study is expected to be able to calculate a realistic and safe route that reflects the movement tendency of ships, and to be expanded to a range of economic, safety, and eco-friendliness evaluation models in the future.

• Journal of Energy Engineering
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• v.21 no.1
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• pp.33-42
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• 2012

In this study, long-term greenhouse gas reductions expected passenger sector was used for the MESSAGE. Green Car road map proposed BAU scenario, Enhanced diffusion green car scenario, and price 1, 2 scenarios was configured with four scenarios. Enhanced diffusion green car in the scenario, in 2050 compared to BAU scenario 13% of the emissions will decrease. Price 1 and Price 2 scenario is emissions reduction of 14% compared to BAU. This study consists of six chapters. Introduction of MESSAGE, creation and RES in the year and the target year set a different base line and the passenger building materials sector activities, steps for passenger sector scenario and Based on the results of running the emissions reductions were to describe.

• Journal of Energy Engineering
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• v.15 no.1 s.45
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• pp.1-7
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• 2006

The multi-dimensional two-phase flow models were developed for analyze the multi-dimensional behaviors or nuclear systems. To verify the simple turbulence model, The single phase mixing problem in a rectangular slab was calculated and compared with the commercial CFD code results. That result shows a good agreement with the CFD result. And the RPI Air-water experiments were simulated to assess the two-phase turbulence model in the multi-dimensional component. The first calculated distribution or void-fraction is highly dispersed and diffusive. It was revealed that the main reason is undesirable stratification force in a horizontal stratified flow regimes. Therefore the horizontally stratified flow regime is deleted because the stratified flow regime is not expected in multi-dimensional flow. With the modification of the flow regime, the predicted flow patterns and void fraction profiles are in good agreement with the measured data.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.3
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• pp.587-595
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• 2015

A by-pass path in wireless sensor networks is the alternative path which be able to forward data when a routing path is being broken. One reason of depleting energy is occurred by the path. The method for solving prior to addressed the problem is proposed. However, this method may deplete radio resource. The best path has advantage that network lifetime of sensor nodes is prolonged; on the contrary, in order to maintain the best path it have to share their information between the entire nodes. In this paper, we propose the best path searching algorithm in the distributed three dimensional sensor networks. Through the neighboring informations sharing in the proposed method, the proposed algorithm can decide the best k-path as well as the extension of network lifetime.