• Journal of Korea Spatial Information System Society
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• v.11 no.1
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• pp.127-136
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• 2009

This paper proposes an on-line mining algorithm of moving trajectory patterns in RFID data streams considering changing characteristics over time and constraints of single-pass data scan. Since RFID, sensor, and mobile network technology have been rapidly developed, many researchers have been recently focused on the study of real-time data gathering from real-world and mining the useful patterns from them. Previous researches for sequential patterns or moving trajectory patterns based on stream data have an extremely time-consum ing problem because of multi-pass database scan and tree traversal, and they also did not consider the time-changing characteristics of stream data. The proposed method preserves the sequential strength of 2-lengths frequent patterns in binary relationship table using the time-evolving graph to exactly reflect changes of RFID data stream from time to time. In addition, in order to solve the problem of the repetitive data scans, the proposed algorithm infers candidate k-lengths moving trajectory patterns beforehand at a time point t, and then extracts the patterns after screening the candidate patterns by only one-pass at a time point t+1. Through the experiment, the proposed method shows the superior performance in respect of time and space complexity than the Apriori-like method according as the reduction ratio of candidate sets is about 7 percent.

• Journal of Gifted/Talented Education
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• v.17 no.1
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• pp.1-26
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• 2007

The purpose of this study was to develop a math test for identification of the mathematically gifted on the basis of their math creative problem solving ability and to evaluate the goodness of the test. Especially, testing reliability and validity of scoring method on the basis of fluency only for evaluation of math creative problem solving ability was one of the main purposes. Ten closed math problems and 5 open math problems were developed requiring math thinking abilities such as intuitive insight, organization of information, inductive and deductive reasoning, generalization and application, and reflective thinking. The 10 closed math test items of Type I and the 5 open math test items of Type II were administered to 1,032 Grade 7 students who were recommended by their teachers as candidates for gifted education programs. Students' responses were scored by math teachers. Their responses were analyzed by BIGSTEPS and 1 parameter model of item analyses technique. The item analyses revealed that the problems were good in reliability, validity, item difficulty and item discriminating power even when creativity was scored based on the single criteria of fluency. This also confirmed that the open problems which are less-defined, less-structured and non-entrenched were good in measuring math creative problem solving ability of the candidates for math gifted education programs. In addition, it was found that the math creative problem solving tests discriminated applicants for the two different gifted educational institutions.

• Journal of the Korea Convergence Society
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• v.11 no.8
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• pp.183-194
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• 2020

Recently, in Korea, financial institutions such as banks are most severely affected by the universalization of the Internet and smartphones. On the other hand, the use of online systems by financial institutions keeps increasing; the convenience of online services has a significant influence on the attraction and the retention of financial customers; consumer needs are also diversely expressed. This paper deduces from the precedent researches a mechanism that online financial system enhances the trust of customers -the medium of the online system and other customers- and its perceived easiness affects its perceived effectiveness and then all these internal variables induce satisfaction. Plus, this paper aims at verification of the hypothesis in terms of an extended technology acceptance model, based on the hypothesis that word of mouth and repurchase are significantly linked to this mechanism. Through this study, the researchers tried to check how the online service quality and emotional factors of financial institutions affect the users in accordance with the trend of changes in the service usage method of financial institutions, and confirmed that the hypothesis was not rejected.

• Journal of Information Technology and Architecture
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• v.11 no.4
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• pp.409-426
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• 2014

Korea has won 3 times in a row in the evaluation of e-government services in 2014. And the last year, the government-EA has been awarded the UN Public Service Award. Because of the development and execution of personalized integrated services based on the government-EA, Korea has won the two award from the UN. EA has been selected and proceeded as one of the 31 e-Government projects in early period, in 2005 the law which public sector must adopt the EA for efficient informatization had been enacted. Many public agencies in which actively utilized to derive such as internal and external performance through the EA. On the other hand, in the last 10 years, some public agencies have still been as recognized level of management in the EA. In this study, the main purpose is that to find out what is a major factor for successful use and result of EA, what is the EA success Model and how to examine it. To do that, this study will study the related prior research such as EA services, information systems success factors, performance measures, and develop the success model for EA and then examine the model. This study will contribute great implications in practical and theoretical in EA success model because this is the nation's first research that SERVQUAL model and the IS Success Model(DeLone & McLean 2003) has been combined and examined.

• Journal of Korean Society of Forest Science
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• v.103 no.2
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• pp.182-188
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• 2014

Genetic diversity and genetic differentiation in six natural populations of Abies holophylla Max were investigated using ISSR marker system. From 6 ISSR primers, the average percentage of polymorphic loci was 85.6%, and the average expected heterozygosity ($H_e$) was 0.288. From the result of AMOVA, 94.4% of total genetic variation came from the differences among individuals within populations, and 5.6% was caused by those of among-populations. On the basis of Bayesian inference, genetic differentiation (${\theta}^{II}$ and $G_{ST}$) and inbreeding coefficient for all populations were 0.045, 0.038, and 0.509, respectively. The correlation between genetic distance and geographical distance was highly significant at the Mental's test (r = 0.74, P < 0.05). Six populations divided into two groups according to the results of UPGMA and PCA. One group included Namwon, Cheongdo and Mungyeong population. The other was Inje, Hongcheon and Pyeongchang population. Also, in Bayesian clustering analysis, 6 populations were divided into two clusters. But Cheongdo population was assigned into the other cluster unlike those of UPGMA or PCA. Taking the regions based on the results of the cluster analysis into consideration of AMOVA, 3.9% of genetic variation came from the regional difference. The dendrogram from UPGMA could provide the most genetically reasonable explanation for the distribution of Abies holophylla populations in South Korea.

• Journal of Broadcast Engineering
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• v.17 no.2
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• pp.270-283
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• 2012

With the advent of multi-channel TV, IPTV and smart TV services, excessive amounts of TV program contents become available at users' sides, which makes it very difficult for TV viewers to easily find and consume their preferred TV programs. Therefore, the service of automatic TV recommendation is an important issue for TV users for future intelligent TV services, which allows to improve access to their preferred TV contents. In this paper, we present a recommendation model based on statistical machine learning using a collaborative filtering concept by taking in account both public and personal preferences on TV program contents. For this, users' preference on TV programs is modeled as a latent topic variable using LDA (Latent Dirichlet Allocation) which is recently applied in various application domains. To apply LDA for TV recommendation appropriately, TV viewers's interested topics is regarded as latent topics in LDA, and asymmetric Dirichlet distribution is applied on the LDA which can reveal the diversity of the TV viewers' interests on topics based on the analysis of the real TV usage history data. The experimental results show that the proposed LDA based TV recommendation method yields average 66.5% with top 5 ranked TV programs in weekly recommendation, average 77.9% precision in bimonthly recommendation with top 5 ranked TV programs for the TV usage history data of similar taste user groups.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.10
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• pp.540-548
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• 2018

The purpose of this study was to test the validity and reliability of the Satisfaction with Simulation Experience (SSE) scale for evaluating high-fidelity simulation education for nursing students. Participants were 174 nursing students, seniors enrolled in two colleges in two different regions. Collected data were analyzed using SPSS / WIN 22.0 and tested for construct validity (factor analysis, group comparison test) and reliability (internal consistency). Factor analysis revealed 17 items and 3 factors explaining 71.581% of the variance. Group comparisons showed that satisfaction with simulation training differed significantly across satisfaction to a college life and school record. Internal consistency reliability for all items was .945. For each sub-domain, the reliability coefficient was .929 for 'Debrief', .908 for 'Clinical learning and reflection', and .860 for 'Clinical reasoning'. Nursing students' mean satisfaction with simulation using the high-fidelity simulator was 3.92. Results of this study are expected to be used for evaluating the satisfaction of nursing college students receiving high-fidelity simulation education, and to serve as groundwork for the development and application of nursing simulation education.

• Korean Journal of Cognitive Science
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• v.16 no.4
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• pp.369-386
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• 2005

Although Intelligent Tutoring System(ITS) offers individualized learning environment that overcome limited function of existent CAI, and consider many learners' variable, there is little development to be using at the sites of schools because of inefficiency of investment and absence of pedagogical content knowledge representation techniques. To solve these problem, we should study a method, which represents knowledge for ITS, and which reuses knowledge base. On the pedagogical content knowledge, the knowledge in education differs from knowledge in a general sense. In this paper, we shall primarily address the multi-complex structure of knowledge and explanation of learning vein using multi-complex structure. Multi-Complex, which is organized into nodes, clusters and uses by knowledge base. In addition, it grows a adaptive knowledge base by self-learning. Therefore, in this paper, we propose the 'Extended Neural Logic Network(X-Neuronet)', which is based on Neural Logic Network with logical inference and topological inflexibility in cognition structure, and includes pedagogical content knowledge and object-oriented conception, verify validity. X-Neuronet defines that a knowledge is directive combination with inertia and weights, and offers basic conceptions for expression, logic operator for operation and processing, node value and connection weight, propagation rule, learning algorithm.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.3
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• pp.518-526
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• 2017

This study analyzed the impact of family firms and their characteristics on how they use debts to analyze the decision-making process of Korean family firms. For analysis, we classified the characteristics of family firms into three categories, through the influence of the relationship between the lack of funds and net debt issuance, which was confirmed as the 'packing order theory' of family firms. There was a total of 4,503 enterprises in the Korean Exchange (KRX). The period of analysis was 10 years, between 2004 and 2014. To summarize, Shyam-Sunder and Myers (1999) validated the packing order theory by presenting a model of family businesses that showed greater applicable to higher packing order theory than a model of non-family businesses. Moreover, the results also confirmed the application of the packing order theory by the family stronger corporate governance and ownership structure. The ownership and governance characteristics of the ruling family has also shown the applicability of higher packing order theory.

• Journal of the Earthquake Engineering Society of Korea
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• v.3 no.3
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• pp.63-74
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• 1999

A sliding mode fuzzy control (SMFC) algorithm is presented for vibration of large structures. Rule-base of the fuzzy inference engine is constructed based on the sliding mode control, which is one of the nonlinear control algorithms. Fuzziness of the controller makes the control system robust against the uncertainties in the system parameters and the input excitation. Non-linearity of the control rule makes the controller more effective than linear controllers. Design procedure based on the present fuzzy control is more convenient than those of the conventional algorithms based on complex mathematical analysis, such as linear quadratic regulator and sliding mode control(SMC). Robustness of presented controller is illustrated by examining the loop transfer function. For verification of the present algorithm, a numerical study is carried out on the benchmark problem initiated by the ASCE Committee on Structural Control. To achieve a high level of realism, various aspects are considered such as actuator-structure interaction, modeling error, sensor noise, actuator time delay, precision of the A/D and D/A converters, magnitude of control force, and order of control model. Performance of the SMFC is examined in comparison with those of other control algorithms such as $H_{mixed 2/{\infty}}$ optimal polynomial control, neural networks control, and SMC, which were reported by other researchers. The results indicate that the present SMFC is an efficient and attractive control method, since the vibration responses of the structure can be reduced very effectively and the design procedure is simple and convenient.