• 대한세포병리학회지
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• 제8권1호
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• pp.47-51
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• 1997

Patients with rheumatoid arthritis of any degree of severity or duration may develop necrotizing granulomatous pleuritis, a morphologic replica of the inflammatory reaction characteristic of rheumatoid synovitis and rheumatoid nodules. The principal feature is the background composed of granular, amorphous, particulate material or debris of various hues. The material is sometimes eosinophilic sometimes more cyanophilic, or even green in the Papanicolaou stain. Within this background are elongated, fibroblast-like epithelioid cells, numerous multinucleated giant cells and degenerating leukocytes. The combination of the debris, spindle epithelioid ceils, and multinucleated giant cells in fluid is pathognomonic for rheumatoid pleuritis. We experienced a hcase of rheumatoid pleuritis showing these characteristic cytologic findings. The patient was a 63 year-old man with positive rheumatoid factor. The pleual fluid specimen revealed elongated epithelioid cells and multinucleated giant cells on a background of amorphous granular material.

• 한국정보처리학회논문지
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• 제7권7호
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• pp.2108-2115
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• 2000

The conventional Boolean retrieval systems based on vector spae model can provide the results of retrieval fast, they can't reflect exactly user's retrieval purpose including semantic information. Consequently, the results of retrieval process are very different from those users expected. This fact forces users to waste much time for finding expected documents among retrieved documents. In his paper, we designed a bayesian SOM(Self-Organizing feature Maps) in combination with bayesian statistical method and Kohonen network as a kind of unsupervised learning, then perform classifying documents depending on the semantic similarity to user query in real time. If it is difficult to observe statistical characteristics as there are less than 30 documents for clustering, the number of documents must be increased to at least 50. Also, to give high rank to the documents which is most similar to user query semantically among generalized classifications for generalized clusters, we find the similarity by means of Kohonen centroid of each document classification and adjust the secondary rank depending on the similarity.

• International Journal of Contents
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• 제7권1호
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• pp.14-22
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• 2011

Temporal Sign Language Recognition (TSLR) from hand motion is an active area of gesture recognition research in facilitating efficient communication with deaf people. TSLR systems consist of two stages: a motion sensing step which extracts useful features from signers' motion and a classification process which classifies these features as a performed sign. This work focuses on two of the research problems, namely unknown time varying signal of sign languages in feature extraction stage and computing complexity and time consumption in classification stage due to a very large sign sequences database. In this paper, we propose a combination of Dynamic Time Warping (DTW) and application of the Single hidden Layer Feedforward Neural networks (SLFNs) trained by Extreme Learning Machine (ELM) to cope the limitations. DTW has several advantages over other approaches in that it can align the length of the time series data to a same prior size, while ELM is a useful technique for classifying these warped features. Our experiment demonstrates the efficiency of the proposed method with the recognition accuracy up to 98.67%. The proposed approach can be generalized to more detailed measurements so as to recognize hand gestures, body motion and facial expression.

• 전기학회논문지
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• 제64권6호
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• pp.864-871
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• 2015

Recently, one of the main research on the power distribution system is the microgrid. The microgrid is a combination of power sources and loads, which is controllable and has separable connection. The main objective of microgrid is the deployment of the renewable clean energy and the enhancement of load-side reliability. The modern power sources and loads have DC I/O interfaces, which is the major advantage of DC microgrid compared to the conventional AC grid. The components in the microgrid have diverse features, so there is need of proper coordination control. For achieving economic feature, the active power of renewable energy resources is regarded as major control parameter and the whole operation modes of DC microgrid are defined, and the proper operations of each component are described. From the inherent characteristics of DC, there are two control variables: voltage and active power. Through analysis of operation modes, it is possible to determine exact control objectives and optimized voltage & power control strategy in each mode. Because of consideration of whole operation modes, regardless of the number and capacity of components, this coordination control method can be used without modification. This paper defines operation mode of DC microgrid with several DC sources and suggests economic and efficient coordinated control methods. Simulation with PSCAD proves effectiveness.

• 한국분말재료학회지
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• 제23권5호
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• pp.358-363
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• 2016

Noncontact direct-printed conductive silver patterns with an enhanced electrical resistivity are fabricated using a silver ink with a mixture of silver nanoparticles and nanoplates. The microstructure and electrical resistivity of the silver pattern are systematically investigated as a function of the mixing ratio of the nanoparticles and nanoplates. The pattern, which is fabricated using a mixture with a mixing ratio of 3(nanoparticles):7(nanoplates) and sintered at $200^{\circ}C$ shows a highly dense and well-sintered microstructure and has a resistivity of $7.60{\mu}{\Omega}{\cdot}cm$. This originates a mutual synergistic effect through a combination of the sinterability of the nanoparticles and the packing ability of the nanoplates. This is a conductive material that can be used to fabricate noncontact direct-printed conductive patterns with excellent electrical conductivity for various flexible electronics applications, including solar cells, displays, RFIDs, and sensors.

• 한국멀티미디어학회논문지
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• 제6권4호
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• pp.698-706
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• 2003

The primary goal of surface approximation is to reduce the degree of deviation of the simplified surface from the original surface. However it is difficult to define the metric that can measure the amount of deviation quantitatively. Many of the existing studies analogize it by using the change of the scalar quantity before and after simplification. This approach makes a lot of sense in the point that the local surfaces with small scalar are relatively less important since they make a low impact on the adjacent areas and thus can be removed from the current surface. However using scalar value alone there can exist many cases that cannot compute the degree of geometric importance of local surface. Especially the perceptual geometric features providing important clues to understand an object, in our observation, are generally constructed with small scalar value. This means that the distinguishing features can be removed in the earlier stage of the simplification process. In this paper, to resolve this problem, we present various factors and their combination as the metric for calculating the deviation error by introducing the orientation of local surfaces. Experimental results indicate that the surface orientation has an important influence on measuring deviation error and the proposed combined error metric works well retaining the relatively high curvature regions on the object's surface constructed with various and complex curvatures.

• 대한조선학회논문집
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• 제51권4호
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• pp.328-333
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• 2014

A hybrid particle-mesh method based on the vorticity-velocity formulation for solving the incompressible Navier-Stokes equations is a combination of the Vortex-In-Cell(VIC) method for convection and the penalization method for diffusion. The key feature of the numerical methods is to determine velocity and vorticity fields around a solid body on a temporary grid, and then the time evolution of the flow is computed by tracing the convection of each vortex element using the Lagrangian approach. Assuming that the vorticity and velocity fields are to be computed in time domain analysis, pressure fields are estimated through a complete set of solutions at present time step. It is possible to obtain vorticity and velocity fields prior to any pressure calculation since the pressure term is eliminated in the vorticity-velocity formulation. Therefore, pressure field is explicitly treated by solving a suitable Poisson equation. In this paper, we propose a simple way to numerically implement the vorticity-velocity-pressure formulation including a penalty term. For validation of the proposed numerical scheme, we illustrate the early development of viscous flows around an impulsive started circular cylinder for Reynolds number of 9500.

• 제어로봇시스템학회논문지
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• 제18권4호
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• pp.328-336
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• 2012

In this paper, we propose a robust fingertip extraction and extended Continuously Adaptive Mean Shift (CAMSHIFT) based robust hand gesture recognition for natural human-like HRI (Human-Robot Interaction). Firstly, for efficient and rapid hand detection, the hand candidate regions are segmented by the combination with robust $YC_bC_r$ skin color model and haar-like features based adaboost. Using the extracted hand candidate regions, we estimate the palm region and fingertip position from distance transformation based voting and geometrical feature of hands. From the hand orientation and palm center position, we find the optimal fingertip position and its orientation. Then using extended CAMSHIFT, we reliably track the 2D hand gesture trajectory with extracted fingertip. Finally, we applied the conditional density propagation (CONDENSATION) to recognize the pre-defined temporal motion trajectories. Experimental results show that the proposed algorithm not only rapidly extracts the hand region with accurately extracted fingertip and its angle but also robustly tracks the hand under different illumination, size and rotation conditions. Using these results, we successfully recognize the multiple hand gestures.

• 복식문화연구
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• 제13권6호통권59호
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• pp.999-1010
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• 2005

The purposes of this study were to investigate used patterns in Hanbok and to find out a classification and a characteristic of motifs. The data made use of 111 pictures constituted Gegory(a Korean jacket) and Chima(a skirt) in photographs collected in wedding magazine(Wedding 21'). The data was analyzed by frequency, contents analysis. Pattern's use or not in Hanbok and a sort, a arrangement, a way of expression of patterns using frequency Classified and characteristics of motifs were analyzed contents analysis. The results of this study were as follows. First, a sort of patterns was lots of flower motifs of the plant pattern. An arrangement of and expression of patterns used mainly a partial arrangement and embroidery expression. Second, the subjects classified using criterion of classification of a external feature, forms of expression, and simplicity/complexity of line. Third, the motifs classified into plants, an animal, geometry, abstraction, and a natural object. The plant motifs were perceived the focus of flower, a combination of a flower and a stem in the plant motifs. The subjects perceived as a simplicity/complexity of flower and a drawing line of a flower and a stem.

• 디지털융복합연구
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• 제12권6호
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• pp.237-243
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• 2014

본 논문에서는 다양한 검색 환경과 모바일 디바이스의 센서 정보를 활용한 모바일 이미지 검색 방법을 제안하고 안드로이드 플랫폼에서 구동하는 검색 시스템을 구현하였다. 설계 개발 시스템은 JPEG 이미지를 대상으로 산업계 표준 메타데이터인 EXIF 속성과 시각적 특징을 결합한 새로운 검색 기술자이며, 검색을 위한 특징 추출 및 유사도 평가 알고리즘을 모바일 환경에 최적화한 이미지 검색 모듈이다. 실험을 통해, 대용량 이미지 데이터셋을 대상으로 안드로이드 폰에서 효율적인 이미지 검색을 수행하였음을 보였다.