• 한국컴퓨터정보학회논문지
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• 제17권11호
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• pp.149-161
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• 2012

인터넷 및 소셜 네트워크 등이 적극적으로 활용되는 사용자 참여 사회에서 사용자의 요구사항을 올바르게 시스템에 반영하는 것은 매우 중요하다. 본 연구에서는 C 사의1,800 여건의사용자 요구사항을 정형화하기 위한 절차와 기법을 제안하고, 정형화된 요구사항이 시스템 설계와 구현에 반영될 수 있도록 상대적 기여도를 측정하여 선정하는 기법을 제시한다. 다양한 사용자 요구사항을 요구사항 수준에 적합하도록 정형화하기 위하여, 요구사항 명세 표준에 따라 작성하고 키워드를 추출하고 상호 관계를 분석하여, 요구사항 계층 그래프를 작성하였다. 요구사항 계층 그래프는 시스템 설계와 구현을 위한 세부 목표를 정의하며, 계층별 요구사항의 상대적인 중요도를 표현한다. 요구사항의 상대적 중요도를 이용하여 요구사항별 상대적 기여도를 계산하고, 이를 이용한 선정 평가 기법을 제안한다. 제안한 기법의 타당성은 C 사의 사례 연구를 통하여 그 가능성을 입증하였다.

• 동의신경정신과학회지
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• 제17권2호
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• pp.133-145
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• 2006

Objective : The purpose of this experimental-controlled study was to investigate the characteristics of the autonomic nervous system in students with Keongke by using HRV(Heart rate variability) and PSV(Pupil size variability). Method : The study group was consisted of 11 students with self recognition as the experimental group, and 25 normal students as the control group. Informations on gender and age were obtained by medical charts and personal interviews. By using heart rate variability and pupil size variability, we measured the value of HRT(Heart rate), SDNN(Standard deviation of NN intervals), LFnorm(Low frequency normalization), HFnorm(High frequency normalization), LF/HF ratio, Pupil area, B.S.(Basic size), C.R.(Max Constriction Rate) and 1s.d.(1sec Dilation Rate). I compared the degrees of the sympathetic and parasympathetic activity. Result : 1. In the result of heart rate variability between experimental and control group, none of the parameters of experimental group were significantly different from control group. And even though there were no statistical significance, there were some numerical differences in SDNN, LF norm, HF norm. 2. In pupil size variability, C.R. and 1s.d. of the experimental group were increased compared to control group. Conclusion : The study results suggest that the group with Keongke has differences of autonomic nervous system as compared to those in normal state. Measurement value of PSV is a new technical approach to estimate the autonomic nervous system.

• 한국강구조학회 논문집
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• 제15권6호통권67호
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• pp.649-660
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• 2003

본 논문은 비균열 무근콘크리트에 매입된 익스팬션 앵커의 인발내력을 평가하기 위한 실험적 연구이다. 앵커의 인발실험은 익스 팬션 앵커에 해당하는 고하중 앵커와 웨지 앵커를 대상으로 대상으로 삽입깊이, 콘크리트 강도 및 연단거리을 변수로 하여 실험을 수행하였다. 후시공 앵커의 설계식은 EOTA와 ACI 318-02 규준의 근거가 되는 CCD 방법이 제안되어 있다. 본 연구에서는 비균열 무근콘트리트에 매입된 익스팬션 앵커의 콘크리트 콘 파괴강도에 관한 설계식을 분석하였으며, 고하중 앵커와 웨지 앵커의 실험값을 CCD 방법의 예측값과 비교 평가하였다. 실험 결과, 비균열 무근콘크리트에 매입된 웨지 앵커의 콘크리트 콘 파괴 시 공칭강도의 계수는 CCD 방법에 근거하여 9.94임을 알 수 있었다. 고하중 앵커의 콘크리트 콘 파괴 시 공칭강도의 계수는 CCD 방법에 근거하여 11.50임을 알 수 있었다.

• 대한음성학회지:말소리
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• 제50호
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• pp.111-122
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• 2004

Automatic detection of laryngeal diseases by voice is attractive because of its non-intrusive nature. Cepstrum based approach to detect laryngeal cancer shows reliable performance even when the periodicity of voice signals is severely lost, but it has a drawback that it is not robust to channel mismatch due to different microphone characteristics. In this paper, to deal with mismatched training and test microphone conditions, we investigate channel compensation techniques such as Cepstral Mean Subtraction (CMS) and Pole Filtered CMS (PFCMS). According to our experiments, PFCMS yields better performance than CMS. By using PFCMS, we obtained 12% and 40% error reduction over baseline and CMS, respectively.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권2호
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• pp.763-774
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• 2015

Hand posture recognition has been a wide region of applications in Human Computer Interaction and Computer Vision for many years. The problem arises mainly due to the high dexterity of hand and self-occlusions created in the limited view of the camera or illumination variations. To remedy these problems, a hand posture recognition method using 3-D point cloud is proposed to explicitly utilize 3-D information from depth maps in this paper. Firstly, hand region is segmented by a set of depth threshold. Next, hand image normalization will be performed to ensure that the extracted feature descriptors are scale and rotation invariant. By robustly coding and pooling 3-D facets, the proposed descriptor can effectively represent the various hand postures. After that, SVM with Gaussian kernel function is used to address the issue of posture recognition. Experimental results based on posture dataset captured by Kinect sensor (from 1 to 10) demonstrate the effectiveness of the proposed approach and the average recognition rate of our method is over 96%.

• 대한산업공학회지
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• 제23권4호
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• pp.803-816
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• 1997

In this paper we propose a new approach far part families considering multiple attributes of parts in the design and operating stage of flexible manufacturing systems. We first represent the relationship of parts and the relative attributes using fuzzy membership function, AHP method and normalization. As a result, more realistic nonbinary data of the relationship is obtained. Then we group parts into part families based on the nonbinary data using fuzzy $\alpha$-cut and new similarity coefficient method. The performance of our method is compared numerically with others.

• 한국군사과학기술학회지
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• 제12권6호
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• pp.733-738
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• 2009

In this paper, we have proposed the design and implementation for efficient Command Control and Alert(C2A). Information fusion must be done for knowing the state and identification of targets using multi-sensor. The threat priority of targets which are processed and identified by information fusion is calculated by air-defence operation logic. The threat targets are assigned to the valid and effective weapons by nearest neighborhood algorithm. Furthermore, the assignment result allows operators to effectively operate C2A by providing the operators with visualizing symbol color and the assignment pairing color line. We introduce the prototype which is implemented by the proposed design and algorithm.

• 한국농공학회지
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• 제32권E호
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• pp.20-32
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• 1990

Abstract This study was conducted to pursue the normalization of frequency distribution by making an approach to the coefficient of skewness to nearly zero through the Box-Cox transformation, to get probable flood flows can be calculated by means of the transformation equation which has been derivated by Box-Cox transformation in the annual maximum series of the applied watersheds. It has been concluded that Box-Cox transfromation is proved to be more efficient than logarithmic, square root and SMEMAX transformation which is based on the trigonometric solution of a right triangle whose three verteces repesent the smallest, median and largest observed values of a population in making the coefficient of skewness nearer to zero. Consequently it is shown that probable flood flows according to the return period based on Box-Cox transformation are closer to the observed data as compared to other methods including SMEMAX transformation and fitted probability distributions such as the three parameter lognormal and the type I extremal distribution for the applied watersheds.

• Journal of Multimedia Information System
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• 제4권4호
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• pp.219-224
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• 2017

This paper is to introduce an application of face recognition algorithm in parallel. We have experiments of 25 images with different motions and simulated the image recognitions; grouping of the image vectors, image normalization, calculating average image vectors, etc. We also discuss an analysis of the related eigen-image vectors and a parallel algorithm. To develop the parallel algorithm, we propose a new type of initial matrices for eigenvalue problem. If A is a symmetric matrix, initial matrices for eigen value problem are investigated: the "optimal" one, which minimize ${\parallel}C-A{\parallel}_F$ and the "super optimal", which minimize ${\parallel}I-C^{-1}A{\parallel}_F$. In this paper, we present a general new approach to the design of an initial matrices to solving eigenvalue problem based on the new optimal investigating C with preserving the characteristic of the given matrix A. Fast all resulting can be inverted via fast transform algorithms with O(N log N) operations.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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• pp.425-427
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• 2004

Motivation of this study is based on these two aspects: geologic uses of ASTER and application scheme of Spectral Mixture Analysis. This study aims at geologic mapping for mineral exploration using ASTER and LANDSAT 7 ETM+ at Mongolian plateau region by SMA. After basic pre-processing such as the normalization, geometric corrections and calibration of reflectance, related to endmembers selection and spectral signature deviation, both methods using spectral library and using PPI(Pixel Purity Index) are performed and compared on a given task. Based on these schemes, SMA is performed using LANDSAT 7 ETM+ and ASTER image. As the results, fraction map showing geologic rock types are enough to meet purposes such as geologic mapping and mineral potential mapping in the case of both uses of these different types of remotely sensed images. It concluded that this approach based on SMA with LANDSAT and ASTER is regarded as one of effective schemes for geologic remote sensing.