• International Journal of Fuzzy Logic and Intelligent Systems
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• 제13권1호
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• pp.12-18
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• 2013

Motor imagery classification in electroencephalography (EEG)-based brain-computer interface (BCI) systems is an important research area. To simplify the complexity of the classification, selected power bands and electrode channels have been widely used to extract and select features from raw EEG signals, but there is still a loss in classification accuracy in the state-of- the-art approaches. To solve this problem, we propose a discriminative feature extraction algorithm based on power bands with principle component analysis (PCA). First, the raw EEG signals from the motor cortex area were filtered using a bandpass filter with ${\mu}$ and ${\beta}$ bands. This research considered the power bands within a 0.4 second epoch to select the optimal feature space region. Next, the total feature dimensions were reduced by PCA and transformed into a final feature vector set. The selected features were classified by applying a support vector machine (SVM). The proposed method was compared with a state-of-art power band feature and shown to improve classification accuracy.

• 한국전자통신학회논문지
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• 제10권9호
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• pp.1059-1064
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• 2015

SNOMED CT 표준 의학 용어 체계를 활용하여 진료기록을 작성하기 위해서는 용어 체계에 포함된 방대한 양의 용어들 중 적합한 용어를 빠른 시간에 선택하는 것이 필요하다. 기존의 검색 브라우저들은 검색 결과를 단순 목록으로 나열하므로 유사한 용어들을 사용자가 구분하여 선택하기 어려운 문제가 있다. 본 논문에서는 용어체계의 특성을 고려하여 효과적인 용어의 검색이 가능한 브라우저를 제안한다. 제안하는 시스템에서는 간략화된 트리 형태로 검색 결과의 계층적 구조를 함께 표시하므로 검색 결과 용어들 중 원하는 용어를 빠르게 선택할 수 있다. 그리고 시스템 설계와 구현을 통해 제안하는 방법의 효과성을 입증한다.

• 한국건축시공학회지
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• 제11권3호
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• pp.238-246
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• 2011

Choosing the best-performance materials is a crucial task for the successful completion of a project in the construction field. In general, the process of material selection is performed through the use of information by a highly experienced expert and the purchasing agent, without the assistance of logical decision-making techniques. For this reason, the construction field has considered various artificial intelligence (AI) techniques to support decision systems as their own selection method. This study proposes the application of a systematic and efficient support vector machine (SVM) model to select optimal exterior materials. The dataset of the study is 120 completed construction projects in South Korea. A total of 8 input determinants were identified and verified from the literature review and interviews with experts. Using data classification and normalization, these 120 sets were divided into 3 groups, and then 5 binary classification models were constructed in a one-against-all (OAA) multi classification method. The SVM model, based on the kernel radical basis function, yielded a prediction accuracy rate of 87.5%. This study indicates that the SVM model appears to be feasible as a decision support system for selecting an optimal construction method.

• 한국의류학회지
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• 제25권3호
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• pp.650-661
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• 2001

The purpose of this study is to suggest a guidance to select proper muslin through investigating fabric characteristics. The structural and physical properties of muslin and top fabric samples were tested by KES-FB system and other testers. And in order to examine the relation between fabric characteristics and the shape of garments, wearing tests were done with jackets made of those samples. As a result, bending rigidity(B), bending hysteresis(2HB), shear stiffness(G), shear hysteresis at=0.5(2HG), shear hysteresis at=5(2HG5), stiffness, cloth count/5cm, weight, thickness were extracted as the key factors affecting the appearance of garments. To have similar appearance, all of these should be counted. After standardizing, we calculate the variance between top cloth and muslin. And from this we could get the range that the proper muslin should be included. The ranges were as follows: Bending rigidity(B): within 0.024g.$\textrm{cm}^2$/cm(0.3$\sigma$); Shear stiffness(G): within 2.21g/cm.degree(1.3$\sigma$) Weight: within 9.33mg/$\textrm{cm}^2$(18$\sigma$); Thickness: within 0.20mm(1.8$\sigma$)

• 한국항공운항학회지
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• 제18권1호
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• pp.83-88
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• 2010

The study is intended to help to select the pilot candidates with exceptional flight aptitude ability and to investigate the relationship between the results of the scholastic aptitude test and the flight aptitude. It is intended that the research will help to draw recommendations on the relevant fields of the scholastic aptitude test that is to be used to select the high caliber candidates with exceptional flight aptitude ability, to gauge the resulting effectiveness of its application and helping to revise the university's syllabus accordingly. From the study, korean, mathematics, english grade and the flight aptitude test results have all shown to hold mutual relationship and through simple correlation analysis, it was discovered that mathematics and English are the two factors that affect the results of the flight aptitude test, with the extent of its impact graded in descending order of English, mathematics and Korean. Lastly, the logistic regression analysis have discovered that the mathematics grade has significant effect on the classification of the flight aptitude and non aptitude category groups, and English also has significant influence close to the 0.05 p-values. It is believed that should the findings of this study be considered as part of the selection process of the university applicants of the department of aeronautical science, making discovery of candidates of higher quality is expected.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2000년도 추계학술대회 및 정기총회
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• pp.99-102
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• 2000

In the supply chain network design, how to select the best location, capacity configuration of the suppliers and to assign manufacturers orders are a challenging issue. Especially when multi-tiers'suppliers are existed, the performance of supply chain is influenced by 2$\^$nd/ and 3$\^$rd/ suppliers. Supplier selection is multi-criteria problem which includes both qualitative and quantitative factors in supply chains. In order to select the best supplier it is necessary to make a trade off between these two factors such as cost, product quality, capacity, production lead time, deliver lead time and transportation lead tine of supplier constraints existed in multi-tiers supplier purchasing chain. In these circumstances, purchasing agents should decide two problems: which is the best supplier in each tier and how much should be purchased from each selected supplier. This research is intended to develop an integration of an analytical hierarchy process (AHP) and mathematical modeling proposed to consider two factors which may be conflicted in choosing the best supplier in each tier and placing the optimum order quantities to the supplier among multi-tiers suppliers.

• 한국정보통신학회논문지
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• 제9권1호
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• pp.88-94
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• 2005

본 논문에서는 회전기의 위치에 대한 정보를 가지고 있는 Encoder와 정해진 경로(Serial Signal)를 통해 Data를 전송하거나 받고, DSP로 Data를 정해진 경로(Paralle Signal)를 통해 Data를 전송하거나 받는 기능을 가진 Receiver를 FPGA Design한 것이다. 동일 동작 Clock을 사용하지 않는 다른 System의 Serial Data 통신을 하는 경우, 새로운 헤더 검출 방법을 제시하여 Serial Data의 유효한 각 Bit의 정보를 얻기 위해서는 헤더 내의 Sync. Code를 해석하여 유효 Data의 길이를 찾을 수 있다. 또한 Receiver의 동작 주파수를 'clk_select' Port를 사용하여 내부 동작 주파수를 20MHz 또는 60MHz를 선택할 수 있다.

• Journal of Nutrition and Health
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• 제17권3호
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• pp.236-241
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• 1984

In order to make clear the relationship between sample design and sample survey in community, it was conducted research on sample design for National Nutrition Survey in 1983. In this paper it was tried to analize the data based on The Report of a Settled Population, 1981 conducted by National Bureau of Statistics Economic Planning Board. The sample was basically using stratified two-stage sampling with systematic sampling of Ban or Li as administrative unit. The population represents the whole nation excluding Jeju-do because of budget. The selection of sampling unit and sampling procedure was as follows. 1) Stratify the nation-wide area in 20 sections according to administrative districts. 2) Determine the sample size in each section according to equal proportional rate (1 / 8040) and to about 1,000 households in the sample. 3) Select the 25 sampling units by section according to households proportion. 4) Select the 10 households at random from each Ban or Li according to equal probability proportion as the final sampling unit. Using the procedure, it was sampled 1,000 households for National Nutrition Survey in 1983.

• 정보과학회 논문지
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• 제44권10호
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• pp.1105-1111
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• 2017

영향력 최대화란 소셜 네트워크에서 최대의 영향력을 갖는 k개의 시드(seed) 노드로 이루어진 집합을 선출하는 문제이다. 이 문제를 해결한 기존 방법들이 갖는 가장 큰 문제는 시드 집합을 선출하는데 너무 많은 시간이 소요된다는 점이다. 이러한 성능 문제는 미시적, 거시적 두 가지 측면에서 발생한다. 본 논문은 미시적, 거시적 측면의 성능 문제 동시에 해결하는 효율적인 영향력 최대화 방안을 제안한다. 또한, 양질의 시드 집합을 선출하기 위한 새로운 경로 기반 커뮤니티 탐지 기법을 제안한다. 네 가지 실세계 데이터를 이용한 실험을 통해, 제안하는 방안이 미시적, 거시적 측면의 문제를 모두 해결하는 동시에 양질의 시드 집합을 선출함을 확인하였다.

• 한국도서관정보학회지
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• 제49권3호
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• pp.407-428
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• 2018

메타데이터 표준은 디지털 정보자원의 기록생애주기를 기술하는 데 있어 매우 중요한 요소이다. 메타데이터 표준은 정보자원에 행해지는 업무의 목적과 내용에 영향을 받고 있으나, 일반적으로 정보자원의 관점을 중심으로 정의 및 설계되었기 때문에 기록생애주기 전체를 보는 업무의 관점은 반영되어 있지 않다. 그래서 정보자원의 기록생애주기 전체를 커버하기 위해서는 정보자원의 업무 관점에서 메타데이터 속성을 적절하게 선택하고 조합하는 것이 필요하다. 이에 본 연구에서는 기록생애주기를 커버하고 정보자원에서 실행되는 업무와 요구조건에 따라 적절한 메타데이터 속성을 선택하여 조합할 수 있는 업무중심의 어플리케이션 프로파일을 작성하여 제안하였다.