• 한국정보시스템학회지:정보시스템연구
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• 제7권1호
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• pp.99-128
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• 1998

The increasing importance of IT rose to the top of list of marketing managers' key concerns and IT has been used widely in performing various marketing activities and decisions. However, little was known about how to employ IT in various marketing activities and how to use IT as a strategic marketing means. Also, comprehensive empirical studies have rarely been conducted. This study examines the effectiveness of integrative use of marketing and IT. More specifically, this study attempts to identify the factors that influence the effectiveness of marketing information systems. The manufacturing firms listed in the Korean Stock Market were surveyed. the major findings of this study are as follows. First, the variables of organizational characteristics such as formalization of decision making cooperation between marketing function and IS function, and degree of decentralization were significantly related to the success of marketing information systems. The variables of user highly associated with the success of marketing information systems. Second, it was also found that the support capability of marketing information systems is the major factor of the effectiveness of marketing information systems. Third, the variables marketing function and IS function, and ratio of export sales to total sales were three variables such as marketing knowledge of marketing managers, cooperation were the main factors to affect the users' satisfaction with the information system. These results imply that, in order to increase the effectiveness of marketing information systems, a firm should enhance a cooperation between marketing function and IS function, diversify the support capability of IS, and strengthen the computer mind and computer knowledge of end-uses.

• Journal of the Korean Data and Information Science Society
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• 제16권4호
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• pp.815-821
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• 2005

Among the various artificial neural networks the backpropagation network (BPN) has become a standard one. One of the components in a neural network is an activating function or a transfer function of which a representative function is a sigmoid. We have discovered that by updating the slope parameter of a sigmoid function simultaneous with the weights could improve performance of a BPN.

• Journal of the Korean Data and Information Science Society
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• 제15권4호
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• pp.899-910
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• 2004

In this paper we have proposed a new loss function, namely, non-linear exponential(NLINEX) loss function, which is quite asymmetric in nature. We obtained the Bayes estimator under exponential(LINEX) and squared error(SE) loss functions. Moreover, a numerical comparison among the Bayes estimators of power function distribution under SE, LINEX, and NLINEX loss function have been made.

• Communications for Statistical Applications and Methods
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• 제21권2호
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• pp.125-134
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• 2014

Kullback-Leibler (KL) information is a measure of discrepancy between two probability density functions. However, several nonparametric density function estimators have been considered in estimating KL information because KL information is not well-defined on the empirical distribution function. In this paper, we consider the KL information of the equilibrium distribution function, which is well defined on the empirical distribution function (EDF), and propose an EDF-based goodness of fit test statistic. We evaluate the performance of the proposed test statistic for an exponential distribution with Monte Carlo simulation. We also extend the discussion to the censored case.

• 제어로봇시스템학회논문지
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• 제13권8호
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• pp.790-797
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• 2007

This paper proposes a new measure of cost function ruggedness in local optimization with DEAS. DEAS is a computational optimization method developed since 2002 and has been applied to various engineering fields with success. Since DEAS is a recent optimization method which is rarely introduced in Korean, this paper first provides a brief overview and description of DEAS. In minimizing cost function with this non-gradient method, information on function shape measured automatically will enhance search capability. Considering the search strategies of DEAS are well designed with binary matrix structures, analysis of search behaviors will produce beneficial shape information. This paper deals with a simple quadratic function contained with various magnitudes of noise, and DEAS finds local minimum yielding ruggedness measure of given cost function. The proposed shape information will be directly used in improving DEAS performance in future work.

• Journal of the Korean Data and Information Science Society
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• 제20권4호
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• pp.749-755
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• 2009

Support vector classification (SVC) provides more complete description of the lin-ear and nonlinear relationships between input vectors and classifiers. In this paper. we propose the sparse kernel classifier to solve the optimization problem of classification with a modified hinge loss function and absolute loss function, which provides the efficient computation and the sparsity. We also introduce the generalized cross validation function to select the hyper-parameters which affects the classification performance of the proposed method. Experimental results are then presented which illustrate the performance of the proposed procedure for classification.

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2003년도 춘계학술대회
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• pp.109-119
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• 2003

In this paper we propose a local smoothing of the Nelson type estimator for the survival function based on an approximation by the Weibull distribution function. It appears that Mean Square Error and Bias of the smoothed estimator of the Nelson type survival function estimator is significantly smaller then that of the smoothed estimator of the Kaplan-Meier survival function estimator.

• Journal of the Korean Data and Information Science Society
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• 제11권2호
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• pp.181-188
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• 2000

The shape of an M-estimation function is generally determined in the sense of either/both maximizing efficiency of an M-estimator at the model or/and bounding the influence function of an M-estimator. We propose an empirical method of choosing a value of the bending constant in Huber's ${\psi}-function$, which is the most widely used M-estimation function when estimating the location parameter.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권8호
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• pp.2101-2123
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• 2023

Recent studies have shown that the neural network-based binary code similarity detection technology performs well in vulnerability mining, plagiarism detection, and malicious code analysis. However, existing cross-architecture methods still suffer from insufficient feature characterization and low discrimination accuracy. To address these issues, this paper proposes a cross-architecture binary function similarity detection method based on composite feature model (SDCFM). Firstly, the binary function is converted into vector representation according to the proposed composite feature model, which is composed of instruction statistical features, control flow graph structural features, and application program interface calling behavioral features. Then, the composite features are embedded by the proposed hierarchical embedding network based on a graph neural network. In which, the block-level features and the function-level features are processed separately and finally fused into the embedding. In addition, to make the trained model more accurate and stable, our method utilizes the embeddings of predecessor nodes to modify the node embedding in the iterative updating process of the graph neural network. To assess the effectiveness of composite feature model, we contrast SDCFM with the state of art method on benchmark datasets. The experimental results show that SDCFM has good performance both on the area under the curve in the binary function similarity detection task and the vulnerable candidate function ranking in vulnerability search task.

• 한국광학회지
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• 제21권3호
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• pp.97-102
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• 2010

전산모사를 통하여 LGP 출력 분포를 조절할 수 있는 패턴 밀도 함수를 찾고 그 효과를 조사하였다. 패턴 밀도 함수, 즉 패턴 간격은 [Pexp(-y/70)+Qexp(+y/25)]R로 조사되었다. 이 함수를 이용하여 패턴의 간격을 조절하는 방식으로 반구형 패턴이 장착된 도광판을 설계하여 도광판 출력 분포를 분석한 결과 출력 분포가 등간격 패턴에 의한 출력 분포에 비하여 확연히 개선되는 것을 확인하였다. 또한 이 함수를 피라미드 패턴에 적용하여 도광판의 출력을 조사하였는데, 반구형 패턴의 경우와 마찬가지로 출력 분포가 개선되는 것을 확인하였다.