• Ocean Systems Engineering
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• v.4 no.4
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• pp.263-278
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• 2014

The spudcan requires the suitable design considering the soil, platform, and environmental conditions. Its shape needs to be designed to secure sufficient reaction of soil so that it can prevent overturning accidents. Its shape also has to minimize the installation and extraction time. Even in the same soil condition, the reaction of soil may be different depending on the shape of spud can, mainly the slope of top and bottom plates. Therefore, in this study, the relation between the slope of plates and the reaction of soil with and without water jetting is analyzed to better understand their interactions and correlations. For the investigation, a wind turbine installation jack-up rig (WTIJ) is selected as the target platform and the Gulf of Mexico is considered as the target site. A multi layered (sand overlying two clays) soil profile is applied as the assumed soil condition and the soil-structure interaction (SSI) analysis is performed by using ANSYS to analyze the effect of the slope change of the bottom plate and water jetting on the reaction of soil. This kind of investigation and simulation is needed to develop optimal and smart spudcan with water-jetting control in the future.

• Journal of Electrical Engineering and information Science
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• v.3 no.2
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• pp.211-221
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• 1998

It is becoming apparent that stereo matching algorithms need much information from high level cognitive processes. Otherwise, conventional algorithms based on bottom-up control alone are susceptible to local minima. We introduce a system that consists of two levels. A lower level, using a usual matching method, is based upon the local neighborhood and a second level, that can integrate the partial information, is aimed at contextual matching. Conceptually, the introduction of bottom-up and top-down feedback loop to the usual matching algorithm improves the overall performance. For this purpose, we model the image attributes using a Markov random field (MRF) and thereupon derive a maximum a posteriori (MAP) estimate. The energy equation, corresponding to the estimate, efficiently represents the natural constraints such as occlusion and the partial informations from the other levels. In addition to recognition, we derive a training method that can determine the system informations from the other levels. In addition to recognition, we derive a training method that can determine the system parameters automatically. As an experiment, we test the algorithms using random dot stereograms (RDS) as well as natural scenes. It is proven that the overall recognition error is drastically reduced by the introduction of contextual matching.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.19 no.5
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• pp.436-445
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• 2007

An analytical solution which can be applied to an arbitrarily varying topography is derived by using the continuity and momentum equations. Applying the fact that the solution of the governing equation is expressed as Bessel function in such case that the water depth varies linearly, the present solution is obtained by assuming the water depth as series of constant slope. The present solution is verified by comparing with analytical solution derived previously and investigates the effects of bottom topography to run-up height of vertical structure.

• Journal of Energy Engineering
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• v.24 no.4
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• pp.146-158
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• 2015

A bottom-up approach has been conducted to estimate greenhouse gas (GHG) emission and to analyze the marginal abatement cost for the Korean horticulture energy sector. With the systematically derived activity and energy balance data, the BAUs have been estimated, along with the marginal abatement cost over the period 2010 through 2030. The result from the marginal abatement cost analysis may provide general guidelines and procedures for the establishment of GHG abatement polices.

• Proceeding of EDISON Challenge
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• 2013.04a
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• pp.37-52
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• 2013

무어의 법칙에 따르면, 반도체의 집적도 2년마다 2배씩 증가한다고 한다. 무어의 법칙은 지금까지는 집적회로 기술의 발전을 잘 예측했다. 하지만 트랜지스터의 사이즈를 줄일수록 누수전류와 회로의 저항을 조절하기 어렵기 때문에 트랜지스터의 소형화에는 한계가 있다. 우리는 곧 무어의 법칙의 한계를 맞이할 것이다. 그래서 트랜지스터를 더욱 소형화시키기 위해서는 bottom-up analysis가 필요한 시점이다. Top-down analysis가 초기의 커다란 트랜지스터에서 점점 소형화를 시켜 작은 트랜지스터를 만든다는 개념인 반면, Bottom-up analysis는 처음부터 작은 분자를 조작하여 트랜지스터와 같은 성질을 띄도록 만드는 개념이다. 분자가 기억소자로서 이용되려면 저항이 다른 2가지 안정한 상태가 필요하다. 이번 연구에서 나는 기억소자를 디자인 하기 위하여 high spin state와 low spin state 두 가지 안정한 상태를 가지는 spin crossover complex를 이용하기로 했다. 이전의 연구에서 spin crossover 는 전기장을 이용해서도 유도될 수 있다고 확신하였고, 이를 이용해서 기억소자를 디자인하기로 하였다. 이번 연구를 위해서 symmetry를 가지는 octahedral spin crossover complex를 디자인하였고 이를 '기억 분자'라고 명명했다. 그리고 이 분자의 high spin state와 low spin state가 전기장을 이용하여 서로 바뀔 수 있는지 가능성을 DFT with B3LYP functional을 이용해서 비교했다. 그 결과로 전기장을 이용하여 기억분자의 spin crossover을 일으킬 수는 있지만 abnormally strong electric field를 써야 한다는 사실을 알아냈다. 이번 연구를 토대로 추후의 연구를 위해, 기억소자가 되기 위하여 분자가 어떤 특징을 만족시켜야 하는지를 분석했다.

• Journal of Energy Engineering
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• v.24 no.1
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• pp.58-68
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• 2015

A marginal abatement cost analysis has been conducted to analyze the effects of abatement measures on greenhouse gas (GHG) emissions for the Korean residential sector. A bottom-up model using MESSAGE has been developed by defining the energy demand and constructing the reference energy system for the residential sector. A great amount of activity data has also been analyzed. Abatement potentials and related costs of individual abatement measures are investigated. The result from the marginal abatement cost analysis may provide general guidelines and procedures for the establishment of GHG abatement polices.

• Journal of Korean Society of Rural Planning
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• v.23 no.4
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• pp.111-126
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• 2017

This study analyzes the impacts of agricultural water shortages in Korea using a combined top-down and bottom-up model. A multi-region multi-output agricultural sector model with detailed descriptions of production technologies and water and land resource constraints has been combined with a standard CGE model. The impacts of four different water shortage scenarios were simulated. It is shown that an active adaptation of crop choices occurs in even the regions with relatively abundant water resources in order to respond to the change in relative output prices caused by water shortages. We found that although the losses in production values are not quite large despite water shortages due to the price feedbacks, the loss in GDP is substantial. We show that our combined approach has advantages in deriving region and product specific production effects as well as the overall GDP loss effect of water shortages.

• The Korean Journal of Applied Statistics
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• v.30 no.1
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• pp.181-193
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• 2017

The paper introduces bottom-up and optimal combination methods that can analyze and forecast hierarchical time series. These methods allow forecasts at lower levels to be summed consistently to upper levels without any ad-hoc adjustment. They can also potentially improve forecast performance in comparison to independent forecasts. We forecast regional traffic accident counts as time series data in order to identify efficiency gains from hierarchical forecasting. We observe that bottom-up or optimal combination methods are superior to independent methods in terms of forecast accuracy.

• Journal of the Korea Society of Computer and Information
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• v.14 no.6
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• pp.17-26
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• 2009

In national defense, established information systems are mainly based on simple information processing, such as mass data query. They have thus lacked intelligent ability of information and knowledge representation ability. We therefore need the research about the construction of military ontology which is the main topic for knowledge construction. Military ontology can help us develop the intelligent national defense information system which can search and manage information efficiently. In this paper, we present the six-step bottom-up approach for military ontology extraction, then we apply this approach to one of military domain, called national defense educational training, and finally implement it using $Prot\acute{e}g\acute{e}$ which is one of the most useful ontology development tool.

• Korean Chemical Engineering Research
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• v.62 no.3
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• pp.201-213
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• 2024

Cells first emerged 4 billion years ago and have evolved over a long period into an excellent system. Bottom-up synthetic biology is a research field that aims to develop "artificial cells" by returning to 4 billion years ago and redesigning cells from scratch. Although these artificial cells are not perfect, they are artificial cell mimicry systems that possess important characteristics of living cells. By designing the artificial cells, researchers in this field aim to explore the organization and the origins of cells from a different approach than traditional cell biology and ultimately seek to replace the use of living cells. This review aims to introduce the concepts and recent research in capsule and biocatalyst-based artificial cells, which have been actively studied recently.