• Journal of the Korean Institute of Rural Architecture
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• v.1 no.3
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• pp.3-12
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• 1999

This research studies into the plane type classification and reviews its transition which has been used in the basic research of the traditional houses on the korean peninsula. The conclusions are as follows. Until now, plane type classification of traditional houses on the Korean peninsula were used to explain the characteristics of the region, or social class of the time. This classification was not used as a research tool to discover the hidden principals of the development process of traditional houses nor to attempt to restore the traditional habitation culture of the Korean peninsula.

• KOMUNHWA
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• no.61
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• pp.95-128
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• 2003

Shell middens, so called waste sites, are the remains made by files of wastes after the sources are used from the natural and artificial environment. The relic things, excavated in shell middens are usually found to be broken and hard to recognize the ori

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.11a
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• pp.279-282
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• 2007

Support Vector Machine(SVM)은 통계적 학습 이론에 기반을 둔 분류기이다. 또한 Twin Support Vector Machine(TWSVM)은 이진 SVM 분류기의 한 종류로써, 서로 관련된 두 개의 SVM 유형 문제를 통해 평행하지 않은 두 개의 평면을 결정하고 이 두 평면을 통해 분류기를 완성하는 방식이다. 이러한 방식은 TWSVM은 학습 시간이 SVM에 비해 훨씬 짧으며, SVM과 비교하여 떨어지지 않는 성능을 보여준다. 본 논문은 분류기 입력에 Fuzzy Memvership을 적용하는 방식의 TWSVM을 제안하고, 2차원 벡터 입력에 대한 실험을 통하여 기존에 제시 되었던 TWSVM과 비교한다.

• Journal of Korean Society for Geospatial Information Science
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• v.13 no.3 s.33
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• pp.25-32
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• 2005

This paper presents a method for point-based 3D building reconstruction using Lidar data and digital map. The proposed method consists of three processes: extraction of building roof points, identification of roof types, and 3D building reconstruction. After extracting points inside the polygon of building, the ground surface, wall and tree points among the extracted points are removed through the filtering process. The filtered points are then fitted into the flat plane using ODR(Orthogonal Distance Regression) in the first place. If the fitting error is within the predefined threshold, the surface is classified as a flat roof. Otherwise, the surface is fitted and classified into a gable or arch roof through RMSE analysis. Experimental results showed that the proposed method classified successfully three different types of roof and that the fusion of LIDAR data and digital map could be a feasible method of modeling 3D building reconstruction.

• Science of Emotion and Sensibility
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• v.22 no.2
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• pp.101-108
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• 2019

The aim of this study was to verify differences in autonomic responses that are affected by the configurations of one-room type units using an electrocardiogram (ECG). Accordingly, 43 one-room units that were collected randomly were classified into ten different types of floor plan configurations mainly according to the location of the bathroom and kitchen. An ECG was subsequently measured for each plan type and the average ratio of the LF/HF (Power in low frequency range/Power in high frequency range) was calculated to measure the comfort level of each space. The results revealed a significant statistical difference between the average LF/HF ratio between the plan types (p < 0.05) and provided compelling evidence suggesting that the configuration of the plan may affect the quality of one-room space. This approach appears to be effective in counteracting stress that may exacerbate psychological disorders in single person households.

• Geotechnical Engineering
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• v.12 no.6
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• pp.37-50
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• 1996

In this study, we collected data through the investigation of rock slopes of highway. By analyzing the collected data, the main factors of rock slope failure were studied. We studied on the failure types and scales according to rock types and geological structures in many rock slopes of highway. As a result, it was shown that many failed slopes were distributed in the areas of Cretaceous sedimentary rocks of south-eastern part in the Korean Peninsula and the Gneiss Complex in both Kyonggi-Do and Kangwon-Do. According to rock types, the following slope failure types were shown : that igneous rocks had the types of rock fall, plane failure, soil erosion and circular failure but had low failure frequency, and sedimentary rocks had predominantly the type of plane failure. Metamorphic rock showed the types of circular failure, wedge failure and plane failure due to poor rock qualities . According to geological structures, the following slope failure types were shown slope failure in igneous rocks was caused by joints, and in sedimentary rocks by bedding plane, and in metamorphic rocks by faults and poor rock qualities.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2011.11a
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• pp.52-56
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• 2011

국내 재래시장 상가건축물은 타 상업지역 보다 노후화된 상업건축물이 상대적으로 많으며 밀집도 또한 높다고 할 수 있어 화재발생 시 화재확산 속도가 빠르고 화재진압이 어려워 인명 및 재산 피해의 가능성이 크다고 할 수 있다. 이에 따라 정부에서는 재래시장을 특정관리대상으로 지정하여 정기적으로 점검을 하고 있으나 소방시설에 비해 상대적으로 피난계획 및 피난설비에 대해서는 적절한 성능평가 및 점검이 이루어지고 있지 않고 있다. 이에 따라 본 연구에서는 대구시 소재의 특정관리대상으로 지정된 재래시장 상가건축물을 조사하여 재래시장의 평면유형분류를 하였고, 각 유형이 가지는 특성을 분석하였으며 대상건축물 피난설비의 실태조사를 통해 경년변화에 따른 설비의 노후화 특성을 분석하였다.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.4
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• pp.549-554
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• 2008

Support Vector machine is the classifier which is based on the statistical training theory. Twin Support Vector Machine(TWSVM) is a kind of binary classifier that determines two nonparallel planes by solving two related SVM-type problems. The training time of TWSVM is shorter than that of SVM, but TWSVM doesn't shows worse performance than that of SVM. This paper proposes the TWSVM which is applied fuzzy membership, and compares the performance of this classifier with the other classifiers using Ionosphere radar data set.

• Proceedings of the Optical Society of Korea Conference
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• 1991.06a
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• pp.181-184
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• 1991

본 논문에서는 off-axis 평면 기준파의 각분할(angular multiflexing) 방식과 pseudo-inverse 알고리듬에 의한 SDF 필터를 결합하여 상관기를 구성하고 상관면에서의 상관반응을 관측하여, off-axis SDF 필터가 유형분류에 유용함을 입증하고, 광상관기로의 적용가능성을 보여주고자 한다.

• Journal of Digital Convergence
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• v.14 no.7
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• pp.355-362
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• 2016

This research analyzed 'esquisse', that is one of among the visual representation tools of designers in design-thinking process. They were classified into five different types(M, N, O, P, Q) and categorized about preferred type of brain dominance area based on Ned Herrmann's 'Brain 4 division theory'. By contrasting and analyzing five types of sketch tendencies and brain tendencies through Structural left -brain type(M), Emotional limbic-brain type(N), Visual right-brain type(O), Plane expressional right-brain type(P) and Text expressional right-brain type(Q), it was deduced that which utilization the designer with each brain type with various Styles and characteristics shows internally in the design thinking process can be analyzed.