• Communications for Statistical Applications and Methods
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• v.7 no.1
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• pp.65-86
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• 2000

The estimates from an EM when it is applied to a large causal model of 10 or more categorical variables are often subject to the initial values for the estimates. This phenomenon becomes more serious as the model structure becomes more serious as the model structure becomes more complicated involving more variables. In this regard Wu(1983) recommends among others that EMs are implemented several times with different sets of initial values to obtain more appropriate estimates. in this paper a new approach for initial values is proposed. The main idea is that we use initials that are calibrated to data. A simulation result strongly indicates that the calibrated initials give rise to the estimates that are far closer to the true values than the initials that are not calibrated.

• Journal of Educational Research in Mathematics
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• v.12 no.2
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• pp.229-246
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• 2002

In this paper, we start with the question "what is algebraic thinking\ulcorner". The problem is that the algebraic thinking is not exactly defined. We consider algebraic thinking from the various perspectives. But in the discussion relating to the definition of algebraic thinking, we verify that there is the algebraic notations in the core of algebraic thinking. So we device algebraic notations into the six categories, and investigate these examples from the school mathematics. In order to investigate this relation of algebraic thinking and algebraic notations, we present 'the algebraic thinking process analysis model' from Frege' idea. In this model, there are three components of algebraic notations which interplays; sense, expression, denotapion. Thus many difficulties of algebraic thinking can be explained by this model. We suppose that the difficulty in the algebraic thinking may be caused by the discord of these three components. And through the transformation of conceptual frame, we can explain the dynamics of algebraic thinking. Also, we present examples which show these difficulties and dynamics of algebraic thinking. As a result of these analysis, we conclude that algebraic thinking can be explained through the semiotic aspects of algebraic notations.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.53 no.6
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• pp.350-357
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• 2004

In a deregulated electricity generation market, the sufficient capacity of transmission lines will promote the competition among generation companies (Gencos). In this paper, we show that Gencos' possession of rights to collect congestion rents may increase the competition effects of the transmission lines. In order for concrete analysis on this effect, a simple symmetric market model is introduced. In this framework, introducing the transmission right to the Gencos has the same strategic effects as increasing the line capacity of the transmission line. Moreover, the amount of effectively increased line capacity is equal to the amount of the line rights. We also show that the asymmetric share of the financial transmission rights may result in an asymmetric equilibrium even for symmetric firms and markets. We also demonstrate these aspects in equal line rights model and single firm line rights model. Finally, a numerical example is provided to show the basic idea of the proposed paper.

• Journal of Digital Convergence
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• v.9 no.1
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• pp.51-59
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• 2011

The objective of this paper is to identify factors influencing intention to use ubiquitous banking service focusing on potential users using a regression model. Through this, providers of ubiquitous banking services can get an idea of future development, including marketing strategy through the results of this analysis. This paper proposes that perceived usefulness is the most important factor influencing the uptake of ubiquitous service. Also in addition, ANOVA test shows that higher education level of the user can lead to the higher intention to use an ubiquitous banking service. In this study, we set up a model by using the most basic factor among influential factors presented in previous studies as an independent variable. However, other research variables which affect acceptance of ubiquitous service should be considered by thinking more diversely.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.909-915
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• 2002

Collaborative system is an essential idea in the global and e-business environments Workflow plays a key role implementing collaborative system. Workflow is an emerging technology for business process automation, monitoring integrity enforcement, and recovery. A process model describes the structure of business process in the real world The process model can be transformed into a Workflow model utilizing a computer. The paper proposes a web-based Workflow process design in the B2B environment Considering a global environment where the partners interchange their processes beyond the company boundaries, a web-based infrastructure is the most preferred platform Considering this, Workflow processes and e-Business structures were combined together on the web environment.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.463-468
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• 2002

Recently, a multi-facility, multi-product and multi-period industrial problem has been widely investigated in Supply Chain Management(SCM). One of the key issues in the current SCM research area involves reducing both production and distribution costs. We have developed an optimization model to tackle the above problems under the restricted conditions such as transportation time and a zero inventory. The model can be used to deride an appropriate factory and assign an optimal output the factory yields. This paper deals with the main idea of the proposed methodology in depth.

• Journal of Industrial Technology
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• v.32 no.A
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• pp.125-128
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• 2012

In this paper, we proposed a prioritization method of test cases using a value estimation model of test sets, that are key elements for highly effective software testings as well as involve a large cost factor in software developments and maintenances. Based on previous studies, our idea includes introducing some practical factors of the test case prioritization which critically influence the value of a test case: Relative values of test sets before and after the test running, Average value of these two relative values, Severity of the defect, Risks that are covered, Frequency of use, Change related values, Systematic elicitations, etc. Finally we discussed the usefulness and the expected effects of the proposed scheme.

• Proceedings of the IEEK Conference
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• 2007.07a
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• pp.401-402
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• 2007

In this paper, we propose an automatic method to finding corresponding points. One 2D image can be changed 3D shape by 3D model. The main idea is using gabor wavelet values from 3D model. And Elastic Bunch Graph Matching algorithm is more stable in 3D model.

• Journal of Korean Society for Geospatial Information Science
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• v.10 no.5 s.23
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• pp.29-43
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• 2002

Accesses to lands, houses, the Internet and other utilities are regarded as basic human needs to escape poverty and are required to recognize the relationships between the digital divide and socio-economical inequality. The digital divide might not be a single technical disparity, but stems from a complicated mixture of economic and socio-technical symptoms of inequality. There is growing awareness of scrutinizing causal mechanisms between the digital divide and poverty since combating poverty could be a primary step to mitigate the digital divide. In this paper, the Hexad model is proposed to explicate poverty interpretation by using 6 parameters as a major tool for partly assisting in poverty monitoring system in connection with land information. A solution model of the Internet is suggested to break the digital divide. It expounds a conceptual framework and new idea for poverty management to notify spatio-temporal locations of poor actors and geography of the digital divide when efforts of poverty eradication hinge on understandings of geographic location of digital disadvantaged groups through parcel-based land information.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.15 no.3
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• pp.145-152
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• 2015

We consider an online selective-sample learning problem for sequence classification, where the goal is to learn a predictive model using a stream of data samples whose class labels can be selectively queried by the algorithm. Given that there is a limit to the total number of queries permitted, the key issue is choosing the most informative and salient samples for their class labels to be queried. Recently, several aggressive selective-sample algorithms have been proposed under a linear model for static (non-sequential) binary classification. We extend the idea to hidden Markov models for multi-class sequence classification by introducing reasonable measures for the novelty and prediction confidence of the incoming sample with respect to the current model, on which the query decision is based. For several sequence classification datasets/tasks in online learning setups, we demonstrate the effectiveness of the proposed approach.