• Communications for Statistical Applications and Methods
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• 제12권1호
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• pp.191-197
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• 2005

Application of data mining techniques to the world wide web, referred to as web mining, has been the focus of several recent researches. With the explosive growth of information sources available on the world wide web, it has become increasingly necessary to track and analyze their usage patterns. In this study, we introduce a process of pre-processing and cluster analysis on web log data and suggest a distance measure considering the structural relationships between web contents. Also, we illustrate some real examples of cluster analysis for web log data and look into practical application of web usage mining for eCRM.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2008년도 춘계 학술발표회 초청강연 및 논문집
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• pp.619-627
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• 2008

In this study, through dissipation test of DMT predicted Horizontal Coefficient of Consolidation at marine clay. CPTu Dissipation test, laboratory consolidation test compared with $C_v$, through it examined application. The result, DMT calculated horizontal coefficient of consolidation by $P_2$-Log(t) method of DMT-A method and C-$\surd$t(min) method. This horizontal coefficient of consolidation calculated larger than $P_2$-Log(t) method. $P_2$-Log(t) method of DMT, Torstensson of CPTu and Houlsby & Teh(1991) appeared similar to tend. This approximate value is possible application in marine clay. It'll need to study continuously through collection of data.

• 전자공학회논문지S
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• 제35S권2호
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• pp.50-57
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• 1998

In this paper, we propoe a log N-stage ATM concentator. ATM concentrator is used in the ATM access network to concentrate the traffic offered at UNI, so that high utilization of the newtork rewources is achieved. The concetrator may be used as a construction block in the design of ATM switch. We define abasic element, named equalizer, and decribe its function and theory to construct an efficient concentrator using the element. In addition, a control scheme to enhance the concentrator to a superconcentrator is presented, which enables the concentration to start from an arbitrary output. This scheme makes it possible to construct an efficient ditributior or a barrel shifter which are often used in ATM switch and other application. The proposed concentrator has a low hardware complexity of O(N log N), thus it is economical to implement. Also, the time complexity of proposed concentrator for determining the rouging is O(N log N), which is faster than that of the existing ones.

• Journal of Information Processing Systems
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• 제7권4호
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• pp.707-716
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• 2011

It is important that desktop grids should be able to aggressively deal with the dynamic properties that arise from the volatility and heterogeneity of resources. Therefore, it is required that task scheduling be able to positively consider the execution behavior that is characterized by an individual resource. In this paper, we implement a log analysis system with REST web services, which can analyze the execution behavior by utilizing the actual log data of desktop grid systems. To verify the log analysis system, we conducted simulations and showed that the resource group-based task scheduling, based on the analysis of the execution behavior, offers a faster turnaround time than the existing one even if few resources are used.

• Genomics & Informatics
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• 제5권3호
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• pp.95-101
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• 2007

In this paper, we consider the variable selection methods in the Cox model when a large number of gene expression levels are involved with survival time. Deciding which genes are associated with survival time has been a challenging problem because of the large number of genes and relatively small sample size (n<

• 경영과학
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• 제20권2호
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• pp.1-16
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• 2003

Previous research on data extraction and integration for data warehousing has concentrated mainly on the relational DBMS or partly on the object-oriented DBMS. Mostly, it describes issues related with the change data (deltas) capture and the incremental update by using the triggering technique of active database systems. But, little attention has been paid to data extraction approaches from other types of source systems like hierarchical DBMS, etc. and from source systems without triggering capability. This paper argues, from the practical point of view, that we need to consider not only the types of information sources and capabilities of ETT tools but also other factors of source systems such as operational characteristics (i.e., whether they support DBMS log, user log or no log, timestamp), and DBMS characteristics (i.e., whether they have the triggering capability or not, etc), in order to find out appropriate data extraction techniques that could be applied to different source systems. Having applied several different data extraction techniques (e.g., DBMS log, user log, triggering, timestamp-based extraction, file comparison) to S bank's source systems (e.g., IMS, DB2, ORACLE, and SAM file), we discovered that data extraction techniques available in a commercial ETT tool do not completely support data extraction from the DBMS log of IMS system. For such IMS systems, a new date extraction technique is proposed which first creates Index database and then updates the data warehouse using the Index database. We illustrates this technique using an example application.

• 디지털산업정보학회논문지
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• 제10권4호
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• pp.19-27
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• 2014

Software reliability in the software development process is an important issue. Software process improvement helps in finishing with reliable software product. Infinite failure NHPP software reliability models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. In this paper, proposes the reliability model with log type mean value function (Musa-Okumoto and log power model), which made out efficiency application for software reliability. Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on mean square error (MSE) and coefficient of determination($R^2$), for the sake of efficient model, was employed. Analysis of failure using real data set for the sake of proposing log type mean value function was employed. This analysis of failure data compared with log type mean value function. In order to insurance for the reliability of data, Laplace trend test was employed. In this study, the log type model is also efficient in terms of reliability because it (the coefficient of determination is 70% or more) in the field of the conventional model can be used as an alternative could be confirmed. From this paper, software developers have to consider the growth model by prior knowledge of the software to identify failure modes which can be able to help.

• Communications for Statistical Applications and Methods
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• 제31권3호
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• pp.349-363
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• 2024

Compositional data refers to data where the sum of the values of the components is a constant, hence the sample space is defined as a simplex making it impossible to apply statistical methods developed in the usual Euclidean vector space. A natural approach to overcome this restriction is to consider an appropriate transformation which moves the sample space onto the Euclidean space, and log-ratio typed transformations, such as the additive log-ratio (ALR), the centered log-ratio (CLR) and the isometric log-ratio (ILR) transformations, have been mostly conducted. However, in scenarios with sparsity, where certain components take on exact zero values, these log-ratio type transformations may not be effective. In this work, we mainly suggest an alternative transformation, that is the square-root transformation which moves the original sample space onto the directional space. We compare the square-root transformation with the log-ratio typed transformation by the simulation study and the real data example. In the real data example, we applied both types of transformations to the USG% data obtained from NBA, and used a density based clustering method, DBSCAN (density-based spatial clustering of applications with noise), to show the result.

• 한국식품위생안전성학회지
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• 제15권3호
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• pp.252-255
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• 2000

본 연구는 육류와 가금육, 유가공 공장의 생산라인에서 미생물 오염수준을 측정함에 있어 ATP bioluminescence법이 적용될 수 있는지를 조사하기 위해 수행되었다. 도축장, 도계장, 유가공 공장 생산라인에서 시료를 채취하였으며 ATP bioluminescence법과 표준평판법을 병행하여 나타난 결과치(log RLU/ml, CFU(log/ml))를 상호 비교하여 상관계수를 측정하였다. 모든 시료(n=408)에서의 상관계수는 0.93이었으며 이중 쇠고기, 돼지고기, 닭고기는 0.93(n=220), 육, 유가공장 생산라인 또한 0.93(n=187)로 비교적 높게 나타나 ATP bioluminescence법이 기존의 표준평판법에 비해 상관계수가 높으므로 식품생산현장에서 신속하고 편리하게 세균의 오염여부를 판정할 수 있는 방법이라고 생각된다.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제15권5호
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• pp.380-384
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• 2009

모바일 장치에서 수집되는 로그 데이터는 개인의 일상에 대한 다양하고 지속적인 정보를 담고 있다. 이로부터 얻을 수 있는 사용자의 위치, 사진, 사용중인 모바일장치 기능 및 서비스의 종류를 통하여 사용자의 상태를 추론하고 개인의 일상을 이해하는 연구가 많은 관심을 받고 있다. 본 논문에서는 모바일 장치로부터 실시간으로 로그 데이터를 수집, 분석하고 이를 지도기반으로 시각화하여 개인 일상에 대한 정보를 효과적으로 관리할 수 있도록 하며 다른 사용자와 이 정보를 공유하여 상호 사용 가능한 어플리케이션을 개발한다. 제안하는 어플리케이션은 베이지안 네트워크 확률 모델을 채택하여 개인의 상황을 추론한다. 실험에서는 실제로 수집된 로그 정보를 바탕으로 효율적 시각화 및 다른 사용자와의 정보 공유 기능의 유용성을 확인하였다.