• 한국실내디자인학회논문집
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• 제19권1호
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• pp.180-189
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• 2010

Since collective houses are started to be supplied, the housing market has been transformed from supplier to demander oriented, and various type with same area of unit households have been deigned and started to be distributed. It can be expected that such transfer phenomenon would be continuously sped-up, and unit household will be more subdivided and varied. Thus, we analysed and studied the planes with subject of unit households in national housing scale ($85m^2$) that is treated as supply standard and has biggest volume in construction by Korean housing corporation. The analysing method is investigating the area of each room within unit household, calculating their minimum, maximum, and average values, studying the efficiency of unit household plane according to the structure of each room by comparative analysis these values, and analysing changing matter by investigating any change of each room area. The analysing results of which are followings. At first, number of BAY on face is increasing. Second, allocation of each room has been vary. Third, area ratio among bedroom1, livingroom, diningroom/kitchen become similar. Fourth, the area of diningroom/kitchen become somewhat bigger. Fifth, the space for passage way is efficiently allocated. Sixth, service area is reduced, Seventh, stereotyped phenomenon Is appeared. Based on many studies so far, any improvements of unit householder in national housing scale are followings. First, in terms of forming style, unit householder in national housing scale is unfolded in various way though, the form of each room is not more than typical style. Second, it shows stereotyped phenomenon. Especially, bathroom 1, 2 show stereotyped feature in terms of their type and area across entire research years, also LDK allocation method is stereotyped, as well as stereotyped trend in bedroom 2, 3, allocation for 4 BAY type.

• Archives of Plastic Surgery
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• 제38권4호
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• pp.451-457
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• 2011

Purpose: As a central feature of the face, the nose has considerable significance in appearance and expression. Reconstruction of full thickness defects of the nasal ala has always been a challenge because of the 3-dimensional structure. For reconstruction of post burn defects of ala, skin graft, local or pedicled flap and composite graft are optionally available. We have reconstructed the ala defects using adiposocutaneous graft and observed the outcome. Methods: From March 2003 to December 2010, 19 cases in 11 patients with scar contracture and defect on ala portion were performed operation using adiposocutaneous graft. As a donor site, we used the inguinal crease and posterior auricular area and the donor site was primarily closed. We made incision through the superior rim of ala and released fully. A graft is applied to recipient site with larger size than recipient volume. Results: The mean age of the patient was 38.6 years (16~51), males are seven patients and females are four patients. The operation was performed bilaterally in 5 patients and unilaterally in 6 patients. Composite grafts were harvested from inguinal area in 13 cases and posterior auricular area in 6 cases. In one case, we did 4 times of operation to get enough volume. All the grafts were well taken. The mean size of the graft was 3.63 $cm^2$. Conclusion: For reconstruction of post burn defects of ala, it's not easy to use local flap or pedicled flap because of hardness and fibrosis of surrounding tissue. So, we choose adiposocutaneous graft for ala deformity reconstruction, got satisfactory outcome in color matching and texture.

• 한국지능시스템학회논문지
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• 제15권5호
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• pp.573-580
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• 2005

본 논문에서는 인간과 컴퓨터의 인터페이스를 좀더 자연스럽고 쉬운 형태의 능동적인 휴먼 인터페이스로 구현하기 위해 정지영상 및 동영상에서의 감정인식기법을 제안하고자 한다. 제안된 얼굴의 감정인식 기법은 Hidden Markov Model(HMM), 주성분분석기법(PCA)와 웨이블렛 변환을 기반으로 구성하였다. 얼굴의 감정인식을 위하여 심리학자인 Ekman과 Friesen의 연구에 의해 문화에 영향을 받지 않고 공통으로 인식하는 6개의 기본 감정인 기쁨, 슬픔, 화남, 놀람, 공포, 혐오를 바탕으로 실험하였다. 감정인식에서 입력영상은 이산 웨이블렛을 기반으로 한 다해상도 분석기법을 사용하여 데이터 수를 압축한 후, 각각의 영상에서 PCA 특징벡터를 추출한 후 이를 사용하여 HMM의 모델을 생성한다. 인식단계에서는 정지영상에서의 인식값과 동영상에서의 인식값을 정규화 과정을 통하여 상호보완 함으로써 인식률을 높일 수 있었다.

• 대한안전경영과학회지
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• 제14권4호
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• pp.229-238
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• 2012

Within last 10 years, internet has become a daily activity, and humankind had to face the Data Deluge, a dramatic increase of digital data (Economist 2012). Due to exponential increase in amount of digital data, large scale data has become a big issue and hence the term 'big data' appeared. There is no official agreement in quantitative and detailed definition of the 'big data', but the meaning is expanding to its value and efficacy. Big data not only has the standardized personal information (internal) like customer information, but also has complex data of external, atypical, social, and real time data. Big data's technology has the concept that covers wide range technology, including 'data achievement, save/manage, analysis, and application'. To define the connected technology of 'big data', there are Big Table, Cassandra, Hadoop, MapReduce, Hbase, and NoSQL, and for the sub-techniques, Text Mining, Opinion Mining, Social Network Analysis, Cluster Analysis are gaining attention. The three features that 'bid data' needs to have is about creating large amounts of individual elements (high-resolution) to variety of high-frequency data. Big data has three defining features of volume, variety, and velocity, which is called the '3V'. There is increase in complexity as the 4th feature, and as all 4features are satisfied, it becomes more suitable to a 'big data'. In this study, we have looked at various reasons why companies need to impose 'big data', ways of application, and advanced cases of domestic and foreign applications. To correspond effectively to 'big data' revolution, paradigm shift in areas of data production, distribution, and consumption is needed, and insight of unfolding and preparing future business by considering the unpredictable market of technology, industry environment, and flow of social demand is desperately needed.

• Coupled systems mechanics
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• 제7권6호
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• pp.649-668
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• 2018

In this paper, we present a numerical model for fluid-structure interaction between structure built of porous media and acoustic fluid, which provides both pore pressure inside porous media and hydrodynamic pressures and hydrodynamic forces exerted on the upstream face of the structure in an unified manner and simplifies fluid-structure interaction problems. The first original feature of the proposed model concerns the structure built of saturated porous medium whose response is obtained with coupled discrete beam lattice model, which is based on Voronoi cell representation with cohesive links as linear elastic Timoshenko beam finite elements. The motion of the pore fluid is governed by Darcy's law, and the coupling between the solid phase and the pore fluid is introduced in the model through Biot's porous media theory. The pore pressure field is discretized with CST (Constant Strain Triangle) finite elements, which coincide with Delaunay triangles. By exploiting Hammer quadrature rule for numerical integration on CST elements, and duality property between Voronoi diagram and Delaunay triangulation, the numerical implementation of the coupling results with an additional pore pressure degree of freedom placed at each node of a Timoshenko beam finite element. The second original point of the model concerns the motion of the outside fluid which is modeled with mixed displacement/pressure based formulation. The chosen finite element representations of the structure response and the outside fluid motion ensures for the structure and fluid finite elements to be connected directly at the common nodes at the fluid-structure interface, because they share both the displacement and the pressure degrees of freedom. Numerical simulations presented in this paper show an excellent agreement between the numerically obtained results and the analytical solutions.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2019년도 춘계학술대회
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• pp.49-52
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• 2019

보도의 점자블록은 시각장애인의 자율적인 보행을 위해서 필수적인 시설물이다. 시각장애인은 발바닥 감각과 지팡이를 이용하여 점자블록을 확인하면서 보행하는데, 점자블록에서 이탈하는 경우에는 다시 점자블록을 만날 때까지 어려움을 겪게 된다. 본 논문에서는 보행자가 착용한 웨어러블 영상 센서를 이용하여 점자블록을 따라서 보행하는지를 판단함으로써 시각장애인의 보행을 유도하는 알고리즘을 제안한다. 이를 위해 점자블록의 기울기를 특징으로 선정하였으며, 3-line detector 구조를 도입하여 프레임마다 점자블록의 좌우 기울기와 전방 연속성을 판단한다. 진행 도중에 점자블록이 끊어지거나 분기되는 상황에 대응하기 위한 공간 필터링과 시각장애인의 보행 도중에 발생하는 상하좌우의 움직임에 대응하기 위한 시간 필터링을 사용하여 기울기를 안정한다. 실제 도로 및 실내에서 획득한 영상을 사용한 모의 실험을 수행하였으며 제안 알고리즘을 통해 보행자의 진행 방향 및 이탈 정도에 대한 판단이 가능함을 확인하였다.

• 한국컴퓨터정보학회논문지
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• 제14권3호
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• pp.173-182
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• 2009

본 논문은 한국어 8단모음을 인식하기 위한 효율적인 파라미터의 추출과 자동 독화 시스템의 구축에 관하여 연구한 것이다. 얼굴의 특징들은 다양한 칼라 공간에서 다양한 값으로 표현되는 것을 이용하여 각 표현 값들을 증폭하거나 또는 축소, 대비시켜 얼굴 요소들이 추출되도록 하였다. 눈과 코의 위치, 안쪽 입의 외곽선, 윗입술의 상단, 이의 외곽선을 특징 점으로 찾았으며, 이를 분석하여 안쪽 입의 면적, 안쪽 입의 높이와 폭, 이의 보임 비율 코와 윗입술 상단과의 거리를 파라미터로 사용하였다. 2400개의 영상으로 분석하였고 이 분석을 바탕으로 신경망 시스템을 구축한 후 인식 실험을 하였다. 정상인 5명이 동원되었고, 사람들 사이에 있는 관찰 오차를 정규화를 통하여 수정하였으며 실험하여 파라미터의 유용성 관점에서 좋은 결과를 얻었다.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송∙미디어공학회 2021년도 추계학술대회
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• pp.290-293
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• 2021

본 논문에서는 공부하는 사용자의 상황을 감지하여, 학습의욕을 고취시키고 집중력 향상을 도와주기 위한 학습능률 확인 시스템을 구현하고자 한다. 이를 위해 실시간 카메라를 통해 사용자의 얼굴이나 몸의 움직임을 추출하여 학습 태도, 집중력에 대한 데이터를 측정한다. 실시간 임베디드 시스템 구현을 위해 Jetson 보드를 사용하였으며, 영상인식을 위한 CNN(Convolution Neural Network)를 구현하였다. CNN 을 이용해 대상의 특징 부분을 검출한 후 움직임 검파를 수행한다. 캡처한 영상을 PYQT5 로 작성된 GUI 에서 영상을 보여주며, 각각 방해되는 행동을 했을 때 푸시메시지를 보내며 데이터를 수집한다. 또한 GUI 로 만든 메인 화면에서 각각의 기능들을 실행 가능하며, 수집한 데이터를 산출해주는 통계그래프와 작업관리 목록, 화이트 노이즈 등의 기능을 수행한다. 구축된 학습능률 확인 시스템을 통해 대상의 데이터를 수집 및 분석을 비롯한 다양한 기능을 사용자에게 제공하였다.

• 대한원격탐사학회지
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• 제40권1호
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• pp.93-101
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• 2024

Accurate field crop classification is essential for various agricultural applications, yet existing methods face challenges due to diverse crop types and complex field conditions. This study aimed to address these issues by combining support vector machine (SVM) models with multi-seasonal unmanned aerial vehicle (UAV) images, texture information extracted from Gray Level Co-occurrence Matrix (GLCM), and RGB spectral data. Twelve high-resolution UAV image captures spanned March-October 2021, while field surveys on three dates provided ground truth data. We focused on data from August (-A), September (-S), and October (-O) images and trained four support vector classifier (SVC) models (SVC-A, SVC-S, SVC-O, SVC-AS) using visual bands and eight GLCM features. Farm maps provided by the Ministry of Agriculture, Food and Rural Affairs proved efficient for open-field crop identification and served as a reference for accuracy comparison. Our analysis showcased the significant impact of hyperparameter tuning (C and gamma) on SVM model performance, requiring careful optimization for each scenario. Importantly, we identified models exhibiting distinct high-accuracy zones, with SVC-O trained on October data achieving the highest overall and individual crop classification accuracy. This success likely stems from its ability to capture distinct texture information from mature crops.Incorporating GLCM features proved highly effective for all models,significantly boosting classification accuracy.Among these features, homogeneity, entropy, and correlation consistently demonstrated the most impactful contribution. However, balancing accuracy with computational efficiency and feature selection remains crucial for practical application. Performance analysis revealed that SVC-O achieved exceptional results in overall and individual crop classification, while soybeans and rice were consistently classified well by all models. Challenges were encountered with cabbage due to its early growth stage and low field cover density. The study demonstrates the potential of utilizing farm maps and GLCM features in conjunction with SVM models for accurate field crop classification. Careful parameter tuning and model selection based on specific scenarios are key for optimizing performance in real-world applications.

• Computers and Concrete
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• 제33권1호
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• pp.27-39
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• 2024

In this study, the authors investigate the free vibration behavior of three-phases functionally graded sandwich plates using a novel nth-order shear deformation theory. These plates are composed of a homogeneous core and two face-sheet layers made of different functionally graded materials. This is the novel type of the sandwich structures that can be applied in many fields of mechanical engineering and industrial. The proposed theory only requires four unknown displacement functions, and the transverse displacement does not need to be separated into bending and shear parts, simplifying the theory. One noteworthy feature of the proposed theory is its ability to capture the parabolic distribution of transverse shear strains and stresses throughout the plate's thickness while ensuring zero values on the two free surfaces. By eliminating the need for shear correction factors, the theory further enhances computational efficiency. Equations of motion are established using Hamilton's principle and solved via Navier's solution. The accuracy and efficiency of the proposed theory are verified by comparing results with available solutions. The authors then use the proposed theory to investigate the free vibration characteristics of three-phases functionally graded sandwich plates, considering the effects of parameters such as aspect ratio, side-to-thickness ratio, skin-core-skin thicknesses, and power-law indexes. Through careful analysis of the free vibration behavior of three-phases functionally graded sandwich plates, the work highlighted the significant roles played by individual material ingredients in influencing their frequencies.