• 경영정보학연구
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• 제6권1호
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• pp.19-36
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• 2004

본 연구는 인터넷뱅킹 채택을 결정하는 요인들을 분석하기 위한 연구모형을 개발하고 이를 이용하여 실증분석을 함으로써, 인터넷뱅킹 사용자와 비사용자를 판별하기 위한 요인들을 체계적으로 분석하고 주요 요인을 도출하여, 인터넷뱅킹이 금융기관을 위한 전략적 경쟁도구로서 보다 빨리 확산되어 정착될 수 있도록 지원하는 방안을 제시하고자 하였다. 본 연구에서는 국내의 인터넷뱅킹 채택 의사결정에 영향을 미치는 요인들을 혁신, 개인, 위험, 그리고 주관적 규범의 네 가지 특성요인으로 구분하여, 인터넷 사용자들을 대상으로 실증 분석하였다. 분석 결과 적합성, 심리적 위험, 컴퓨터 경험, 주관적 규범 등이 인터넷뱅킹 사용자와 비사용자를 구별 짓는 뚜렷한 요인으로 나타났다.

• 전자공학회논문지CI
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• 제47권1호
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• pp.22-29
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• 2010

비디오 시퀀스에서 움직임 있는 객체의 실시간 검출 및 추적은 스마트 감시 시스템에서 매우 중요한 요소로 분류되고 있다. 본 논문에서 우리는 움직임이 있는 객체의 검출을 위해 클라우지우스 엔트로피와 적응적 가우시안 혼합모델을 사용한 객체 검출 방법을 제안한다. 먼저, 엔트로피의 증가는 일반적으로 불안전한 조건에서 많은 엔트로피의 변화가 발생한 경우 복잡성 및 객체의 움직임이 증가함을 의미한다. 만약 순간적으로 엔트로피 변화가 큰 화소는 움직임 객체에 속한다고 고려하여 움직임 분할 특성을 적용한다. 따라서 우리는 먼저 클라우지우스 엔트로피 이론을 적용하여 엔트로피에 대한 에너지 변화량을 dense 맵으로 변환한다. 두 번째로 우리는 움직임 객체를 검출하기 위해 적응적 가우시안 혼합 모델을 적용하였다. 실험 결과에서 제안된 방법이 효율적으로 움직임이 있는 객체를 검출할 수 있었다.

• 한국재난정보학회 논문집
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• 제3권1호
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• pp.37-53
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• 2007

Various difficult problems occur due to insufficient bearing capacity or excessive settlements when constructing roads or large complexes. Accurate predictions on the final settlement and consolidation time can help in choosing the ground improvement method and thus enables to save time and expense of the whole project. Asaoka's method is probably the most frequently used for settlement prediction which are based on Terzaghi's one dimensional consolidation theory. Empirical formulae such as Hyperbolic method and Hoshino's method are also often used. However, it is known that the settlement predicted by these methods do not match with the actual settlements. Furthermore these methods cannot be used at design stage when there is no measured data. To find an elaborate method in predicting settlement in embankments using various test results and actual settlement data from domestic sites, Back-Propagation Neural Network(BPNN) and Recurrent Neural Network(RNN) were employed and the most suitable model structures were obtained. Predicted settlement values by the developed models were compared with the measured values as well as numerical analysis results. Analysis of the results showed that RNN yielded more compatible predictions with actual data than BPNN and predictions using cone penetration resistance were closer to actual data than predictions using SPT results. Also, it was found that the developed method were very competitive with the numerical analysis considering the number of input data, complexity and effort in modelling. It is believed that RNN using cone penetration test results can make a highly efficient tool in predicting settlements if enough field data can be obtained.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권1호
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• pp.227-247
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• 2018

For intermittently connected wireless sensor networks deployed in hash environments, sensor nodes may fail due to internal or external reasons at any time. In the process of data collection and recovery, we need to speed up as much as possible so that all the sensory data can be restored by accessing as few survivors as possible. In this paper a novel redundant data storage algorithm based on minimum spanning tree and quasi-randomized matrix-QRNCDS is proposed. QRNCDS disseminates k source data packets to n sensor nodes in the network (n>k) according to the minimum spanning tree traversal mechanism. Every node stores only one encoded data packet in its storage which is the XOR result of the received source data packets in accordance with the quasi-randomized matrix theory. The algorithm adopts the minimum spanning tree traversal rule to reduce the complexity of the traversal message of the source packets. In order to solve the problem that some source packets cannot be restored if the random matrix is not full column rank, the semi-randomized network coding method is used in QRNCDS. Each source node only needs to store its own source data packet, and the storage nodes choose to receive or not. In the decoding phase, Gaussian Elimination and Belief Propagation are combined to improve the probability and efficiency of data decoding. As a result, part of the source data can be recovered in the case of semi-random matrix without full column rank. The simulation results show that QRNCDS has lower energy consumption, higher data collection efficiency, higher decoding efficiency, smaller data storage redundancy and larger network fault tolerance.

• 감성과학
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• 제6권3호
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• pp.73-87
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• 2003

이 연구는 일반적인 인지이론을 조종사 기술의 범위로 확대시켜, 조종사가 얼마나 빠르고 정확하게 상황인식을 하는지를 제시문과 비행 장면 일치성 측정을 통해 알아보았다. 이 연구의 목적은 두 가지 측면의 변인에 따라 상황인식이 전문성의 영향을 받는지를 알아보는 것이다. 비행 요소간의 관계를 나타내는 비행 상황 변인들과 비행 요소의 내용을 나타내는 비행 상황 변인들 모두 비행 상황인식에 영향을 주었다 그리고 작업기억은 다양한 정보들을 통합시키는 데 결정적인 역할을 하는 것으로 나타났다. 이러한 결과는 비행 상황인식의 바탕인 인지적 과정을 나타내는 구조화통합 모델의 이론적 틀 안에서 설명되어진다.

• Steel and Composite Structures
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• 제22권1호
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• pp.113-139
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• 2016

The nonlinear seismic responses of steel buildings with perimeter moment resisting frames (PMRF) and interior gravity frames (IGF) are estimated, modeling the interior connections first as perfectly pinned (PPC), and then as partially restrained (PRC). Two 3D steel building models, twenty strong motions and three levels of the PRC rigidity, which are represented by the Richard Model and the Beam Line Theory, are considered. The RUAUMOKO Computer Program is used for the required time history nonlinear dynamic analysis. The responses can be significantly reduced when interior connections are considered as PRC, confirming what observed in experimental investigations. The reduction significantly varies with the strong motion, story, model, structural deformation, response parameter, and location of the structural element. The reduction is larger for global than for local response parameters; average reductions larger than 30% are observed for shears and displacements while they are about 20% for bending moments. The reduction is much larger for medium- than for low-rise buildings indicating a considerable influence of the structural complexity. It can be concluded that, the effect of the dissipated energy at PRC should not be neglected. Even for connections with relative small stiffness, which are usually idealized as PPC, the reduction can be significant. Thus, PRC can be used at IGF of steel buildings with PMRF to get more economical construction, to reduce the seismic response and to make steel building more seismic load tolerant. Much more research is needed to consider other aspects of the problem to reach more general conclusions.

• Asian Pacific Journal of Cancer Prevention
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• 제15권24호
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• pp.10683-10690
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• 2015

The big gap between efficacy of population level prevention and expectations due to heterogeneity and complexity of cancer etiologic factors calls for selective yet personalized interventions based on effective risk assessment. This paper documents our research protocol aimed at refining and validating a two-stage and web-based cancer risk assessment tool, from a tentative one in use by an ongoing project, capable of identifying individuals at elevated risk for one or more types of the 80% leading cancers in rural China with adequate sensitivity and specificity and featuring low cost, easy application and cultural and technical sensitivity for farmers and village doctors. The protocol adopted a modified population-based case control design using 72, 000 non-patients as controls, 2, 200 cancer patients as cases, and another 600 patients as cases for external validation. Factors taken into account comprised 8 domains including diet and nutrition, risk behaviors, family history, precancerous diseases, related medical procedures, exposure to environment hazards, mood and feelings, physical activities and anthropologic and biologic factors. Modeling stresses explored various methodologies like empirical analysis, logistic regression, neuro-network analysis, decision theory and both internal and external validation using concordance statistics, predictive values, etc..

• 대한간호학회지
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• 제15권2호
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• pp.49-61
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• 1985

It is assumed that the more society advances in its complexity and development, the more people pay attention to their health and accordingly the more people tend to practice health protective behavior. Most of human behavior is based on social inter-actions. The concept in Locus of Control has been developed from social learning theory to help better understanding the social phenomena affecting human behavior. Multidimensional Health Locus of Control is consisted of three dimensions: Internal, Powerful Others and Chance. This study was conducted to find out the health protective behavior patterns of the people and its relationship with Health Locus of Control as an influencing factor to their behavior. All the subjects in this study were the ones of the bank employees in Seoul, Among the total of 1,430 bank employees, 761 were chosen as a sampled subjects. Questionnair survey was conducted from March 4 to March 13, 1985. Research instruments used in this study were two kinds, one was the Health Locus of Control Scale developed by Wallston & Wallston and the other was the Measuring Scale for Health Protective Behavior developed by the investigator. Analysis of data was done by using Descriptive Statistics, X²-test, t-test, ANOVA, Pearson's correlation coefficient. The results of this study are summarized as follows: The mean score of Internal was 24.1, Powerful others was 19.7 and Chance was 15.3 out of maximum range of 6-30 respectively. The mean score of Health Protective Behavior Scale fell as 53.2 out of a maximum range of 18-90. Internals were more likely closely related with sex, educational levels and religion, Powerful others were related with age, educational levels and the number of family members. Chances were related with edu cational levels. The older the subjects were, the more concerned about their health. They tended to practice more favorable health protective behaviors. Furthermore, married people tended to fay more attention to their health than single individuals. Also, the number of family members and religion affected their attitudes in the health protective behavior patterns. Internals and Powerful Others were related with health protective behaviors. If one believes he can do something about his health and others play a significant role on his health, he is more apt protective patterns more suitable for health and actually shows that he is better off.

• 한국정보과학회논문지:시스템및이론
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• 제35권6호
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• pp.273-283
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• 2008

최근 많은 임베디드 실시간 시스템에 동적 전압 조절(Dynamic Voltage Scaling: DVS)을 지원하는 프로세서를 사용하고 있다. 이런 시스템의 설계 및 동작의 최적화를 위한 중요한 요소 중 하나가 전력(power)이다. 동적 전압 조절을 지원하는 프로세서의 슬로우다운을 이용하므로서 많은 소비 전력을 절약할 수 있다. 본 논문에서는 태스크의 동기화가 필요한 임베디드 실시간 시스템에서 효율적인 전력 소비를 위해 태스크들의 슬로우다운 값을 구하는 휴리스틱 알고리즘들을 제안한다. 기존 알고리즘에서는 상대 마감시간이 작은 태스크의 슬로우다운 값은 상대 마감시간이 크거나 같은 태스크의 슬로우다운 값보다 크거나 같아야 한다는 제약조건을 가지고 있다. 본 논문에서는 이 제약조건을 완화하여 기존 알고리즘과 같은 시간복잡도를 가지면서 전력을 더 작게 소비하는 휴리스틱 알고리즘들을 제시한다. 실험을 통해 소비전력 면에서 효율적임을 보였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권5호
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• pp.1316-1332
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• 2012

Formation flying is an important technology that enables high cost-effective organization of outer space aircrafts. The ad-hoc wireless network based on direct-sequence ultra-wideband (DS-UWB) techniques is seen as an effective means of establishing wireless communication links between aircrafts. In this paper, based on the theory of matched filter and error bits correction, a hybrid detection algorithm is proposed for realizing multiuser detection (MUD) when the DS-UWB technique is used in the ad-hoc wireless network. The matched filter is used to generate a candidate code set which may contain several error bits. The error bits are then recognized and corrected by an novel error-bit corrector, which consists of two steps: code mapping and clustering. In the former step, based on the modified optimum MUD decision function, a novel mapping function is presented that maps the output candidate codes into a feature space for differentiating the right and wrong codes. In the latter step, the codes are clustered into the right and wrong sets by using the K-means clustering approach. Additionally, in order to prevent some right codes being wrongly classified, a sign judgment method is proposed that reduces the bit error rate (BER) of the system. Compared with the traditional detection approaches, e.g., matched filter, minimum mean square error (MMSE) and decorrelation receiver (DEC), the proposed algorithm can considerably improve the BER performance of the system because of its high probability of recognizing wrong codes. Simulation results show that the proposed algorithm can almost achieve the BER performance of the optimum MUD (OMD). Furthermore, compared with OMD, the proposed algorithm has lower computational complexity, and its BER performance is less sensitive to the number of users.