• 한국태양에너지학회 논문집
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• 제24권2호
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• pp.39-50
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• 2004

One of the challenge for successful daylighting design might be to capture sunlighting that varies in both intensity and position and to deliver the luminous flux into the inner space as deep as possible. Conventional glazing apertures allow daylight in the outer 3.5m of a perimeter spaces. More advanced daylighting technologies can extend this daylighting depth by reflecting sunlight further from the windows within a deep floor area. For this purpose, this study developed light shelves based on performance evaluation with a mock-up model that constructed recently and measured under real sky condition. All these daylighting devices have a customized geometry developed from the solar path at a given latitude and utilize unique reflecting finishing to maximize the amount of redirection and diffusion of the daylight. This paper tells that the best daylighting penetration typically can be expected from using light-colored sloped external shelves.

• 한국분무공학회지
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• 제16권2호
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• pp.104-109
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• 2011

The present study investigated experimentally the spreading characteristics of a single liquid impinging on the inclined micro-textured aluminum (Al 6061) surfaces manufactured by using a micro computerized numerical control (${\mu}$-CNC) milling machine. The textured surfaces were composed of patterned micro-holes (diameter of $125\;{\mu}m$ and depth of $125\;{\mu}m$). In our experiment, the de-ionized (DI) water droplet of $4.3\;{\mu}l$ was impinged normally on the non-textured and textured surfaces at two different Weber numbers, and the droplet impinged on the inclined surfaces with different angles. A high speed camera was used to capture sequential digital images for measurement of the maximum spreading distance. It was found that for the textured surface, the measured apparent equilibrium contact angle (ECA) increased up to $105.8^{\circ}$, higher than the measured ECA of $87.6^{\circ}$ for the non-textured (bare) surface. In addition, it is conjectured that the spreading distance decreased because of a liquid penetration during droplet spreading through the holes, the increase in hydrophobicity, and viscous dissipation during impact process.

• 한국항해항만학회지
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• 제30권2호
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• pp.125-130
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• 2006

Waves, which are the main source of ship motions in a seaway, considerably affect the performance of a ship. The study of waves and their impact on ship motions within harbors is an important aspect of the design and operation of harbors. The prediction of incoming groups of waves is particularly important for evaluating ship motion within a harbor. Such a prediction makes it possible to evaluate ship safety more accurately. The wave transformation model reported here is applied to actual ports based on Boussinesq wave equations both non-linear and dispersive wave processes be considered in order to capture physical effects such as wave shoaling, refractions, reflection and diffraction in variable depth environments. The prediction of incoming groups of waves is particularly important for evaluating ship motion within a harbor, Such a prediction makes it possible to evaluate ship safety more accurately and provide safe wave informations for navigation. Furthermore, a wave information support system is proposed for entering ships as one technique for improving the safety of ship operations. This system predicts the run of waves and reduces the danger by identifying the most dangerous point near the harbor entrance at the small wave groups.

• 유통과학연구
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• 제13권8호
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• pp.27-40
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• 2015

Purpose - Total Quality Management (TQM) has received significant attention and interest from a large number of organizations around the world in various industries. These organizations have tried to embody TQM concepts in areas such as engineering and product design, marketing, R&D, procurement, production, personnel, and product inspection. Research design, data, and methodology - This study presents an overview of the fundamentals of TQM and an in depth review of the obstacles to the successful implementation of TQM. Results - In order to control the cost of manufacturing, the tracking of the cost of quality (COQ) allows companies to capture the actual overall cost incurred in producing a unit of product or service. The study explores the reasons why companies track the COQ and ways to address it. Conclusions - Based on the results, COQ is one of the key performance indicators for making more accurate strategic decisions as well as a critical aspect of TQM. The study also presents a few popular quality improvement tools that have been widely used in organizations successfully implementing TQM.

• Genomics & Informatics
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• 제12권2호
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• pp.50-57
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• 2014

We present a new next-generation sequencing-based method to identify somatic mutations of lung cancer. It is a comprehensive mutation profiling protocol to detect somatic mutations in 30 genes found frequently in lung adenocarcinoma. The total length of the target regions is 107 kb, and a capture assay was designed to cover 99% of it. This method exhibited about 97% mean coverage at $30{\times}$ sequencing depth and 42% average specificity when sequencing of more than 3.25 Gb was carried out for the normal sample. We discovered 513 variations from targeted exome sequencing of lung cancer cells, which is 3.9-fold higher than in the normal sample. The variations in cancer cells included previously reported somatic mutations in the COSMIC database, such as variations in TP53, KRAS, and STK11 of sample H-23 and in EGFR of sample H-1650, especially with more than $1,000{\times}$ coverage. Among the somatic mutations, up to 91% of single nucleotide polymorphisms from the two cancer samples were validated by DNA microarray-based genotyping. Our results demonstrated the feasibility of high-throughput mutation profiling with lung adenocarcinoma samples, and the profiling method can be used as a robust and effective protocol for somatic variant screening.

• 디지털융복합연구
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• 제9권3호
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• pp.235-247
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• 2011

상황에 따라 유동적이고 상호 모순적이기도 한 마음의 여러 층위와 국면들과 이들 사이의 메커니즘을 다뤄야 한다는 것이 마음인문학의 출발점이다. 마음이 아직 자세히 밝혀지지 않은 중층적이고 다면적인 사태라면 각각의 층위와 면들을 바라보는 관점들이 많아질수록, 우리가 마음에 대해 더 많은 정서로 담론을 전개할수록 마음이라는 개념이 갖는 미래의 객관성은 그만큼 더 완벽해 질 것이다. 역사 속에서 이미 여러 분야의 영역에서 이루어진 마음담론들의 각각은 마음이라는 사태를 바라보는 하나의 시선을 마무르는 작업이며 새로운 관점을 모색하기 위한 시도였다. 본 연구는 아직 명료하지 않은 마음개념의 정립을 위해 토픽맵과 세만틱맵에 근거하여 디지털 마음 지식지도를 구축할 것을 제안하며 한 가지 모델을 제시하고 있는 글이다.

• Structural Engineering and Mechanics
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• 제54권4호
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• pp.693-710
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• 2015

This paper presents a nonlocal shear deformation beam theory for bending, buckling, and vibration of functionally graded (FG) nanobeams using the nonlocal differential constitutive relations of Eringen. The developed theory account for higher-order variation of transverse shear strain through the depth of the nanobeam, and satisfy the stress-free boundary conditions on the top and bottom surfaces of the nanobeam. A shear correction factor, therefore, is not required. In addition, this nonlocal nanobeam model incorporates the length scale parameter which can capture the small scale effect and it has strong similarities with Euler-Bernoulli beam model in some aspects such as equations of motion, boundary conditions, and stress resultant expressions. The material properties of the FG nanobeam are assumed to vary in the thickness direction. The equations of motion are derived from Hamilton's principle. Analytical solutions are presented for a simply supported FG nanobeam, and the obtained results compare well with those predicted by the nonlocal Timoshenko beam theory.

• 인터넷정보학회논문지
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• 제11권1호
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• pp.59-69
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• 2010

웹 서비스들의 수가 급격하게 증가함에 따라 사용자가 적합한 웹 서비스를 찾는 것은 매우 중요한 문제로 대두되고 있다. 그러나 전통적인 키워드 탐색 방법은 다음의 두 가지 이유 때문에 문제가 있다: (1) 웹 서비스에 대한 의미적인 정보들을 활용하지 못한다. (2) 사용자의 요구사항을 정확하게 표현하지 못한다. 이러한 키워드 기반 탐색 방법의 한계를 극복하기 위해 본 논문에서는 하나의 새로운 구문 분석 및 온톨로지 학습 방법을 제안한다. 구문 분석 방법은 키워드를 일반화하여 검색 범위를 넓혀주고, 온톨로지 학습 방법은 상관관계를 표현하여 깊이 있는 탐색을 유도한다. 이러한 두 방법을 결합함으로써 재현율과 정확률 둘 다 향상 시킬 수 있는 기법이 될 수 있다. 제안된 방법은 508개의 웹 서비스 집합에 대한 실험을 수행하여 그 성능의 우수함을 보인다.

• Nuclear Engineering and Technology
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• 제52권12호
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• pp.2709-2716
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• 2020

Compositions of large nuclear cores (e.g. boiling water reactors) are highly heterogeneous in terms of fuel composition, control rod insertions and flow regimes. For this reason, they usually lack high order of symmetry (e.g. 1/4, 1/8) making it difficult to estimate their neutronic parameters for large spaces of possible loading patterns. A detailed hyperparameter optimization technique (a combination of manual and Gaussian process search) is used to train and optimize deep neural networks for the prediction of three neutronic parameters for the Ringhals-1 BWR unit: power peaking factors (PPF), control rod bank level, and cycle length. Simulation data is generated based on half-symmetry using PARCS core simulator by shuffling a total of 196 assemblies. The results demonstrate a promising performance by the deep networks as acceptable mean absolute error values are found for the global maximum PPF (~0.2) and for the radially and axially averaged PPF (~0.05). The mean difference between targets and predictions for the control rod level is about 5% insertion depth. Lastly, cycle length labels are predicted with 82% accuracy. The results also demonstrate that 10,000 samples are adequate to capture about 80% of the high-dimensional space, with minor improvements found for larger number of samples. The promising findings of this work prove the ability of deep neural networks to resolve high dimensionality issues of large cores in the nuclear area.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권4호
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• pp.2042-2059
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• 2019

Digital shadow puppet has traditionally relied on expensive motion capture equipments and complex design. In this paper, a low-cost driven technique is presented, that captures human pose estimation data with simple camera from real scenarios, and use them to drive virtual Chinese shadow play in a 2.5D scene. We propose a special method for extracting human pose data for driving virtual Chinese shadow play, which is called 2.5D human pose estimation. Firstly, we use the 3D human pose estimation method to obtain the initial data. In the process of the following transformation, we treat the depth feature as an implicit feature, and map body joints to the range of constraints. We call the obtain pose data as 2.5D pose data. However, the 2.5D pose data can not better control the shadow puppet directly, due to the difference in motion pattern and composition structure between real pose and shadow puppet. To this end, the 2.5D pose data transformation is carried out in the implicit pose mapping space based on self-network and the final 2.5D pose expression data is produced for animating shadow puppets. Experimental results have demonstrated the effectiveness of our new method.