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The Static Unstable Characteristics of Tensegrity-Type Cable Dome according to the Structural System (구조시스템에 따른 Tensegrity형 케이블 돔의 정적 불안정 거동특성)

  • Cho, In-Ki;Kim, Hyung-Seok;Kim, Seung-Deog;Kang, Moon-Myung
    • Journal of Korean Association for Spatial Structures
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    • v.4 no.3 s.13
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    • pp.65-75
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    • 2004
  • A shell structure, having a curvature with a curved surface, is an extremely efficient mechanical creation regard to the external load. A basic structural resistance mechanism is the structural system, which is resisted the out-of-plane direction load by in-plane forces using the structure's curvature. Therefore, it has a merit to make thin and lightweight large spacial structures using minimum materials. Among the large spare structural system, the rapid development of the membrane structures, cable structures and the hybrid structures are watched recently. But, this kind of structural system shows the unstable phenomenon by snap-through or bifurcation according to the shape of structure, and the understanding of the collapse mechanism by this phenomenon is very important to the design process. In this study, I investigated the unstable characteristics of the Geiger-type, Zetlin-type and flower-type hybrid cable dome structures, which is the lightweight hybrid structures using compression and tension elements continuously, according to the difference of structural system.

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A High Speed Block Turbo Code Decoding Algorithm and Hardware Architecture Design (고속 블록 터보 코드 복호 알고리즘 및 하드웨어 구조 설계)

  • 유경철;신형식;정윤호;김근회;김재석
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.41 no.7
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    • pp.97-103
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    • 2004
  • In this paper, we propose a high speed block turbo code decoding algorithm and an efficient hardware architecture. The multimedia wireless data communication systems need channel codes which have the high-performance error correcting capabilities. Block turbo codes support variable code rates and packet sizes, and show a high performance due to a soft decision iteration decoding of turbo codes. However, block turbo codes have a long decoding time because of the iteration decoding and a complicated extrinsic information operation. The proposed algorithm using the threshold that represents a channel information reduces the long decoding time. After the threshold is decided by a simulation result, the proposed algorithm eliminates the calculation for the bits which have a good channel information and assigns a high reliability value to the bits. The threshold is decided by the absolute mean and the standard deviation of a LLR(Log Likelihood Ratio) in consideration that the LLR distribution is a gaussian one. Also, the proposed algorithm assigns '1', the highest reliable value, to those bits. The hardware design result using verilog HDL reduces a decoding time about 30% in comparison with conventional algorithm, and includes about 20K logic gate and 32Kbit memory sizes.

Effect of TiCN/WC Ratio on Grain Shape and Grain Growth in the TiCN-WC-Co System (TiCN-WC-Co 계에서 TiCN/WC 비의 변화에 따른 입자모양과 입자 성장)

  • 이보아;강석중;윤덕용;김병기
    • Proceedings of the Korean Powder Metallurgy Institute Conference
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    • 2002.11a
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    • pp.29-29
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    • 2002
  • 공구강 등 산업용 재료로 널리 사용되는 카바이드 계 재료는 입자 크기 및 분포에 따라 기계적 성질이 변화하므로, 이를 제어하고 조절하는 기술에 관하여 많은 연구가 진행되어 왔다. 본 연구에서는 TiCN-WC-Co 복합초경계 에서 소결 공정 및 조성변화에 따른 입자 모양을 관찰하고 이에 따른 업자 성장 거동을 고찰하였다. 일반적으로 입자 조대화 양상과 고상 입자의 모양과는 밀접한 관계가 있다. 각진 입자의 경우에 는 계면이 원자적으로 singular 하여 원자의 홉착이 어렵기 때문에 임계값 이상의 성장 구동력을 받 는 몇몇 입자만 성장하는 비정상 입자 성장이 일어날 수 있다. 반면에 계면이 rough한 퉁큰 엽자의 경우에는 원자 홉착에 필요한 구동력이 존재하지 않아 성장 구동력을 받는 모든 입자들이 성장하기 때문에 정상 입자 성장을 하게 된다. 이와 같이 입자 모양에 따른 입자 성장 거동은 전체 미세구조를 결정하게 되며, 이에 따른 물리 화학적 물성을 변화시킨다. 이러한 입자 성장 원리를 적용하 면 복합초경계 (TiCN-WC-Co)에서도 입자성장이 억제되고 치밀한 소결체를 제조할 수 있을 것이다. 본 실험에서는 평균입도가 각각 0.1, 1.33, 2$\mu\textrm{m}$인 TiCN, WC, Co 분말을 사용하여 $((I00_{-x)}TiCN+_xWC)-30Co$ (wt%) 조성에서 TiCN/WC 비를 변화시키면서 업자 모양과 입자성장 거동을 관찰하였다. 청량된 분말은 WC 초경 볼로 밀렁하고, 건조한 후, 100 mesh 체로 조립화 하였다. 이 분말을 100 MPa의 압력으로 냉간정수압성형 하고 $10^{-2}$ torr의 진공분위기의 graphite f furnace에서 carbon black으로 packing 하여 액상형성 온도 이상에서 소결하였다. 소결된 시편은 경면 연마하여 주사전자현미경으로 미세 조직을 관찰하였다. TiCN-30Co 조성 시편은 corner-round 모양의 입자 모양으로 소결 시간 증가에 따라 빠른 입자 성장을 나타내었다 .(7STiCN+2SWC)-30Co 조성 시변의 경우 일반적으로 보고된 바와 같이 core/shell 구조를 나타내었으며, core는 TiC-rich 상이었고, shell은 (Ti,W)(C,N) 복합 탄화물 상이었다. WC 함량이 중가함에 따라 입자의 corner-round 영역이 증가하였으며 (SOTiCN-SOWC)-30Co 조성 근처에서는 거의 둥근 형태의 입자 모양을 나타내었다. 또한 TiCN - 30Co 조성 시편에 비하여 WC가 첨가된 시펀들은 작은 평균입자크기를 나타내었다. 본 연구의 결과는 shell 영역 조성 변화는 계면에너지 이방성과 기지상 내의 펑형 입자 모양을 변화시키고 나아가 입자 성장 속도 에도 영향을 미친다는 것을 보여준다.

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Extraction of Renal Glomeruli Region using Genetic Algorithm (유전적 알고리듬을 이용한 신장 사구체 영역의 추출)

  • Kim, Eung-Kyeu
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.46 no.2
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    • pp.30-39
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    • 2009
  • Extraction of glomeruli region plays a very important role for diagnosing nephritis automatically. However, it is not easy to extract glomeruli region correctly because the difference between glomeruli region and other region is not obvious, simultaneously unevennesses that is brought in the sampling process and in the imaging process. In this study, a new method for extracting renal glomeruli region using genetic algorithm is proposed. The first, low and high resolution images are obtained by using Laplacian-Gaussian filter with ${\sigma}=2.1$ and ${\sigma}=1.8$, then, binary images by setting the threshold value to zero are obtained. And then border edge is detected from low resolution images, the border of glomeruli is expressed by a closed B-splines' curve line. The parameters that decide the closed curve line with this low resolution image prevent the noises and the border lines from breaking off in the middle by searching using genetic algorithm. Next, in order to obtain more precise border edges of glomeruli, the number of node points is increased and corrected in order from eight to sixteen and thirty two from high resolution images. Finally, the validity of this proposed method is shown to be effective by applying to the real images.

Structure Analysis of Ship′s Collision Causes using Fuzzy Structural Modeling (퍼지구조모델을 이용한 선박충돌사고 원인의 구조분석)

  • Yang, Won-Jae
    • Journal of Navigation and Port Research
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    • v.27 no.2
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    • pp.137-143
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    • 2003
  • The prevention of marine accidents has been a important topic in marine society for long time, and various safety policies and countermeasures have been developed and applied to prevent those accidents. In spite of these efforts, however, significant marine accidents have taken place intermittently. Ship is being operated under a highly dynamic environments, and many factors are related with ship's collision, whose factors are interacting. So, the analysis on ship's collision causes are very important to prepare countermeasures which will ensure the safe navigation. This study analysed the ship's collision data over the past 10 years(1991-2000), which is compiled by Korea Marine Accidents Inquiry Agency. The analysis confirmed that‘ship's collision’is occurred most frequently and the cause is closely related with human factor. The main purpose of this study is to analyse human factor. For this, the structure of human factor is analysed by the questionnaire methodology. Marine experts were surveyed based on major elements that were extracted from the human factor affecting to ship's collision. FSM has been widely adopted in modeling a dynamic system which is composed of human factors. Then, the structure analysis on the causes of ship's collision using FSM are performed. This structure model could be used in understanding and verifying the procedure of real ship's collision. Furthermore it could be used as the model to prevent ship's collision and reduce marine accidents.

Fire Detection Approach using Robust Moving-Region Detection and Effective Texture Features of Fire (강인한 움직임 영역 검출과 화재의 효과적인 텍스처 특징을 이용한 화재 감지 방법)

  • Nguyen, Truc Kim Thi;Kang, Myeongsu;Kim, Cheol-Hong;Kim, Jong-Myon
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.6
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    • pp.21-28
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    • 2013
  • This paper proposes an effective fire detection approach that includes the following multiple heterogeneous algorithms: moving region detection using grey level histograms, color segmentation using fuzzy c-means clustering (FCM), feature extraction using a grey level co-occurrence matrix (GLCM), and fire classification using support vector machine (SVM). The proposed approach determines the optimal threshold values based on grey level histograms in order to detect moving regions, and then performs color segmentation in the CIE LAB color space by applying the FCM. These steps help to specify candidate regions of fire. We then extract features of fire using the GLCM and these features are used as inputs of SVM to classify fire or non-fire. We evaluate the proposed approach by comparing it with two state-of-the-art fire detection algorithms in terms of the fire detection rate (or percentages of true positive, PTP) and the false fire detection rate (or percentages of true negative, PTN). Experimental results indicated that the proposed approach outperformed conventional fire detection algorithms by yielding 97.94% for PTP and 4.63% for PTN, respectively.

Color-Depth Combined Semantic Image Segmentation Method (색상과 깊이정보를 융합한 의미론적 영상 분할 방법)

  • Kim, Man-Joung;Kang, Hyun-Soo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.3
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    • pp.687-696
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    • 2014
  • This paper presents a semantic object extraction method using user's stroke input, color, and depth information. It is supposed that a semantically meaningful object is surrounded with a few strokes from a user, and has similar depths all over the object. In the proposed method, deciding the region of interest (ROI) is based on the stroke input, and the semantically meaningful object is extracted by using color and depth information. Specifically, the proposed method consists of two steps. The first step is over-segmentation inside the ROI using color and depth information. The second step is semantically meaningful object extraction where over-segmented regions are classified into the object region and the background region according to the depth of each region. In the over-segmentation step, we propose a new marker extraction method where there are two propositions, i.e. an adaptive thresholding scheme to maximize the number of the segmented regions and an adaptive weighting scheme for color and depth components in computation of the morphological gradients that is required in the marker extraction. In the semantically meaningful object extraction, we classify over-segmented regions into the object region and the background region in order of the boundary regions to the inner regions, the average depth of each region being compared to the average depth of all regions classified into the object region. In experimental results, we demonstrate that the proposed method yields reasonable object extraction results.

Luminescence Properties of $BaNb2O6:RE^{3+}$(RE=Eu, Dy) Phosphor Powders

  • Gang, Dae-Min;Jo, Sin-Ho
    • Proceedings of the Korean Vacuum Society Conference
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    • 2013.08a
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    • pp.172-172
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    • 2013
  • 최근에 디스프로슘 이온이 도핑된 형광체의 백색 발광 현상 때문에 백색 발광 소재의 제조에 관한 연구가 상당한 관심을 끌고 있다. 본 연구에서는 $Eu^{3+}$$Dy^{3+}$ 이온의 몰 비를 변화시키면서 $BaNb_2O_6:RE^{3+}$ (RE=Eu, Dy) 형광체 분말을 합성한 결과를 보고한다. 특히 활성제 이온인 $Eu^{3+}$$Dy^{3+}$ 이온의 몰 비에 따른 $BaNb_2O_6$ 형광체 분말의 결정 구조, 입자의 모양과 크기, 흡광과 발광 스펙트럼의 변화를 관측하였고, 최적의 합성 조건을 제시하고자 한다. 파장 393 nm로 여기 시킨 $Dy^{3+}$ 이온의 몰 비에 따른 $BaNb_2O_6$ 형광체 분말의 발광 스펙트럼은 580 nm에 주 피크를 갖는 황색 스펙트럼이 관측되었다. 이 발광 신호는 $^4F_{9/2}-^6H_{13/2}$ 전이 신호이다. $Dy^{3+}$ 이온의 몰 비가 0 mol인 경우에는 발광 신호가 검출되지 않았다. $Dy^{3+}$ 이온의 몰 비가 0.10 mol일 때 발광 피크의 세기는 최대이었으며, $Dy^{3+}$ 이온의 몰 비가 더욱 증가함에 따라 발광 스펙트럼의 세기는 계속 증가하지 않고 갑자기 감소하기 시작하였다. 이것은 $Dy^{3+}$ 이온의 몰 비가 임계값을 초과하여 더욱 증가하면 모체 격자들 사이에 치환 고용되어 있는 $Dy^{3+}$ 이온들 사이의 거리가 더욱 가까워져서 $Dy^{3+}$ 이온들이 서로 용이하게 결합함으로써 내부 산란에 의하여 발광의 세기가 감소함을 의미한다. 흡광 스펙트럼의 경우에, $Dy^{3+}$ 이온의 몰 비가 0.01 mol일때 형광체 분말은 두 종류의 흡광 스펙트럼을 나타내었다. 첫째는 $Dy^{3+}$ 양이온과 $O^{2-}$ 음이온들 사이에 발생한 전하 전달 밴드에 의해 발생하는 310 nm를 정점으로 하여 280~340 nm 영역에 걸쳐서 광범위하게 분포하는 흡광 신호가 관측되었으며, 둘째는 $Dy^{3+}$ 이온의 $4f^9$ 전자 배열 내에서 발생하는 4f-4f 전이 신호로서, 이것은 350~500 nm 영역에 걸쳐서 비교적 밴드폭이 좁은 다수의 흡광 신호가 나타났다. 본 실험에서는 다섯 개의 피크를 갖는 흡광 신호가 검출되었는데, 이중에서 제일 강한 주 피크인 393 nm의 흡수 파장은 모체 격자 내에 있는 $Dy^{3+}$ 이온의 바닥 상태인 $^6H_{15/2}$ 준위에서 여기 상태인 $^4F_{7/2}$ 인 에너지 준위로 전이하면서 발생한 신호이며, 이에 비하여 상대적으로 흡광 세기가 약한 370, 432, 458, 370 nm의 흡수 파장이 관측되었다.

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A Proposal of Remaining Useful Life Prediction Model for Turbofan Engine based on k-Nearest Neighbor (k-NN을 활용한 터보팬 엔진의 잔여 유효 수명 예측 모델 제안)

  • Kim, Jung-Tae;Seo, Yang-Woo;Lee, Seung-Sang;Kim, So-Jung;Kim, Yong-Geun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.4
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    • pp.611-620
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    • 2021
  • The maintenance industry is mainly progressing based on condition-based maintenance after corrective maintenance and preventive maintenance. In condition-based maintenance, maintenance is performed at the optimum time based on the condition of equipment. In order to find the optimal maintenance point, it is important to accurately understand the condition of the equipment, especially the remaining useful life. Thus, using simulation data (C-MAPSS), a prediction model is proposed to predict the remaining useful life of a turbofan engine. For the modeling process, a C-MAPSS dataset was preprocessed, transformed, and predicted. Data pre-processing was performed through piecewise RUL, moving average filters, and standardization. The remaining useful life was predicted using principal component analysis and the k-NN method. In order to derive the optimal performance, the number of principal components and the number of neighbor data for the k-NN method were determined through 5-fold cross validation. The validity of the prediction results was analyzed through a scoring function while considering the usefulness of prior prediction and the incompatibility of post prediction. In addition, the usefulness of the RUL prediction model was proven through comparison with the prediction performance of other neural network-based algorithms.

Application of a Climate Suitability Model to Assess Spatial Variability in Acreage and Yield of Wheat in Ukraine (우크라이나 밀 재배 면적 및 수량의 공간적 변이 평가를 위한 기후적합도 모델의 활용)

  • Jin Yeong Oh;Shinwoo Hyun;Seungmin Hyun;Kwang Soo Kim
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.26 no.1
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    • pp.75-88
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    • 2024
  • It would be advantageous to predict acreage and yield of crops in major grain-exporting countries, which would improve decisions on policy making and grain trade in Korea. A climate suitability model can be used to assess crop acreage and yield in a region where the availability of observation data is limited for the use of process-based crop models. The objective of this study was to determine the climate suitability index of wheat by province in Ukraine, which would allow for the spatial assessment of acreage and yield for the given crop. In the present study, the official data of wheat acreage and yield were collected from the State Statistics Service of Ukraine. The EarthStat data, which is a data product derived from satellite data and official crop reports, were also gathered for the comparison with the map of climate suitability index. The Fuzzy Union model was used to create the climate suitability maps under the historical climate conditions for the period from 1970 to 2000. These maps were compared against actual acreage and yield by province. It was found that the EarthStat data for acreage and yield of wheat differed from the corresponding official data in several provinces. On the other hand, the climate suitability index obtained using the Fuzzy Union model explained the variation in acreage and yield at a reasonable degree. For example, the correlation coefficient between the climate suitability index and yield was 0.647. Our results suggested that the climate suitability index could be used to indicate the spatial distribution of acreage and yield within a region of interest.