• Information Systems Review
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• v.6 no.2
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• pp.269-284
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• 2004

Induced from government policy to boost regional economic competitiveness, regional informatization forming e-community has been the subject included in the various regional informatization master plans in Korea. However, few cases are reported for its successful implementation mainly due to the lack of profitable business model to encourage investment. On the other hand, most efforts to build smart apartments, part of the home networking in a broad sense, has been pursued from the different directions. Telecommunication giant such as Korea Telecom tries to find new source of revenue exploiting enhanced broad band technology. Also, construction companies started constructing housing complexes equipped with built-in high speed network infrastructure as a means to differentiation to other competitors. The contents providing community portal has become mandatory in the sense of bearing the cost from customer side who are willing to adopt those services for new smart house. Our research motivation stems from exploring critical value aspects of realizing the profitability of this emerging new business model, that is, industry convergence model. In this paper, mainly from the survey results of the Korean smart apartment complexes, we reported recent home networking services development in Korea, and value propositions from the business model perspective. Merged business model components of telecommunications, construction, and internet contents are analyzed to provide the insights for future directions.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.1
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• pp.43-51
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• 2012

The OLS(ordinary least squares) method is widely used in hedonic housing models. One of the assumptions of the OLS is an independent and uniform distribution of the disturbance term. This assumption can be violated when the spatial autocorrelation exists, which in turn leads to undesirable estimate results. An alterative to this, spatial econometric models have been introduced in housing price studies. This paper describes the comparisons between OLS and spatial econometric models using housing transaction prices of Busan, Korea. Owing to the approaches reflecting spatial autocorrelation, the spatial econometric models showed some superiority to the traditional OLS in terms of log likelihood and sigma square(${\sigma}^2$). Among the spatial models, the SAR(Spatial Autoregressive Models) seemed more appropriate than the SAC(General Spatial Models) and the SEM(Spatial Errors Models) for Busan housing markets. We can make sure the spatial effects on housing prices, and the reconstruction plans have strong impacts on the transaction prices. Selecting a suitable spatial model will play an important role in the housing policy of the government.

• Journal of the Korea Convergence Society
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• v.8 no.7
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• pp.151-158
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• 2017

This study explored the development and utilization strategies based on the recognition of Massive Open Online Courses(MOOC) of students and professors who are the subjects of university teaching and learning. All members of the university recognized the basic concepts of MOOC as openness, sharing, and participation positively. In the understanding and recognition level of MOOC, undergraduate and graduate students were very low but professors were relatively high. They wanted the MOOC to develop courses in the humanities, natural sciences, social sciences, technology engineering and the arts and sciences, aiming at innovation in college curricula and diffusion of unique contents. The undergraduates wanted MOOC to be able to complete the liberal arts curriculum, basic learning in other areas and extra-curriculum and the graduate students who were lifelong learners wanted MOOC to be developed and utilized for strengthening lifelong education of local citizens. Professors who are providers of high quality education and lifelong learners wanted MOOC to be used for the deepening of their major courses in order to innovate the university education and to spread unique contents. The university should support the development of various MOOCs, establish the completion system, and provide advanced and high quality online education service.

• Journal of the Korean Society of Food Science and Nutrition
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• v.39 no.3
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• pp.392-398
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• 2010

This study was conducted to investigate housewives' purchase behavior and needs for information on food safety. The data were collected from 275 housewives over the age of 20 living in Seoul and metropolitan areas from March 9 to April 3 in 2009. The result of this study showed that 'checking expiration date' topped with 4.59 in the purchase behavior for food safety followed by 'buying domestics' (4.08) and 'considering food safety' (3.66). The study also showed that only 18.5% of the respondents said that they have an experience of education for food safety, and 'environmental hormones' was the highest with 89.1% in the percentage of correct answer but 'mad cow disease' was the lowest with 25.8%. Also total degree of knowledge for food hazards was an average of 8.56 out of 13. The respondents' degree of information search for food safety was generally low at 2.61 and tv/radio topped the list of information sources with 4.04, followed by newspaper/magazine (3.80), internet (3.44), and family/relatives/friends (3.39). Finally, degree of information needs for food safety was generally high with 3.82. Therefore, government, producers, distributers and academic researchers must provide consumers collective and sufficient information about the food safety and hazards through the diverse information sources. Also they have to play their respective roles in developing and executing feasible education program for consumers.

• Journal of Korean Association for Spatial Structures
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• v.12 no.1
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• pp.109-119
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• 2012

For membrane structure, there are three main steps in design and construction, which are form finding, statistical load analysis, and cutting patterning. Unlike the first two stages, the step of cutting pattern involves the translation of a double-curved surface in 3D space into a 2D plane with minimal error. For economic reasons, the seam lines of generated cutting patterns rely greatly on the geodesic line. Generally, as searching regions of the seam line are plane elements in the step of shape analysis, the seam line is not a smooth curve, but an irregularly divided straight line. So, it is how we make an irregularly divided straight line a smooth curve that defines the quality of the pattern. Accordingly, in this paper, we analyzed interpolation schemes using spline, and apply these methods to cutting pattern generation on the curved surface. To generate the pattern, three types of spline functions were used, i.e., cubic spline function, B-spline, and least-square spline approximation, and simple model and the catenary-shaped membrane was adopted to examine the result of generation. The result of comparing the approximation curves by the number of elements and the number of extracted nodes of simple model revealed that the seam line for less number of extracted nodes with large number of elements were more efficient, and the least-square spline approximation provided smoother seam line than other methods.

• Journal of the Korean Chemical Society
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• v.56 no.3
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• pp.371-377
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• 2012

In this study, open inquiry reports of 165 eighth graders in Daegu were analyzed in terms of content area, the types of inquiry hypothesis, and the types of inquiry variables. Before summer vacation, students learned about inquiry process and explored their own inquiry topic for two class hours. During summer vacation, students performed open inquiry including problem selection, designing and performing experiment, data collection, data analysis, and writing report. After the vacation, students submitted their reports, and answered to additional survey regarding the source of inquiry idea, the definition of hypothesis, and the most difficult step of inquiry process. As a result, chemistry was the most dominant content area of the reports and biology and life science were the next. 130 out of 165 reports included inquiry hypotheses, and most of them were predictive hypotheses. In many reports, dependent and independent variables could not be identified because of their ambiguity. However, inquiry variables described in experimental design, which were mostly categorical variables, were clearer than those described in inquiry subject and inquiry hypothesis. The most difficult step of inquiry process for students was to generate an idea for open inquiry.

• Journal of the Korean Chemical Society
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• v.54 no.5
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• pp.523-532
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• 2010

The proposed method is simple, sensitive and specific Liquid chromatography-tandem mass spectrometry (LCESI-MS/MS) method for the quantification of Entacapone (EA) in human plasma using Entacapone-d10 (EAD10) as an internal standard (IS). Chromatographic separation was performed on Zorbax SB-C18, $2.1{\times}50\;mm$, $5\;{\mu}m$ column, mobile phase composed of 10 mM Ammonium formate (pH 3.0): Acetonitrile (60:40 v/v), with a flow-rate of 0.7 mL/min, followed by Liquid-liquid extraction. EA and EAD10 were detected with proton adducts at m/z $306.1{\rightarrow}233.1$ and $316.3{\rightarrow}233.0$ in multiple reaction monitoring (MRM) positive mode respectively. The method was validated over a linear concentration range of 1.00 - 2000.00 ng/mL with correlation coefficient ($r^2$) $\geq$ 0.9993. Intra and inter-day Precision within 3.60 to 7.30 and 4.20 to 5.50% and Accuracy within 97.30 to 104.20 and 98.30 to 105.80% proved for EA. This method is successfully applied in the bioequivalence study of healthy Indian human volunteers.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.5
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• pp.192-200
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• 2008

Multimodal biometrics is a method for personal authentication and verification using more than two types of biometrics data. RBF based score-level fusion uses pattern recognition algorithm for multimodal biometrics, seeking the optimal decision boundary to classify score feature vectors each of which consists of matching scores obtained from several unimodal biometrics system for each sample. In this case, all matching scores are assumed to have the same reliability. However, in recent research it is reported that the quality of input sample affects the result of biometrics. Currently the matching scores having low reliability caused by low quality of samples are not currently considered for pattern recognition modelling in multimodal biometrics. To solve this problem, in this paper, we proposed the RBF based score-level fusion approach which employs quality information of input biometrics data to adjust decision boundary. As a result the proposed method with Qualify information showed better recognition performance than both the unimodal biometrics and the usual RBF based score-level fusion without using quality information.

• CRM연구
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• v.2 no.2
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• pp.53-70
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• 2009

Understanding consumer behavior based on the analysis of the customer data is one essential part of analytic CRM. To do this, the analytic skills for data extraction and data processing are required to users. As a user has various kinds of questions for the consumer data analysis, the user should use database language such as SQL. However, for the firm's user, to generate SQL statements is not easy because the accuracy of the query result is hugely influenced by the knowledge of work-site operation and the firm's database. This paper proposes a natural language based database search framework finding relevant database elements. Specifically, we describe how our TableRank method can understand the user's natural query language and provide proper relations and attributes of data records to the user. Through several experiments, it is supported that the TableRank provides accurate database elements related to the user's natural query. We also show that the close distance among relations in the database represents the high data connectivity which guarantees matching with a search query from a user.

• The Korean Journal of Mycology
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• v.34 no.2
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• pp.112-118
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• 2006

To select efficient entomopathogenic fungal strains of Lecanicillium for the biocontrol of aphid, Myzus persicae, conidial suspension ($1{\times}10\;conidia/ml$) was sprayed onto a detached Chinese cabbage leaf in a petri dish with a dampened filter paper that had 20 nymphs of aphid. Lecancillium strain 4078 and 6543 were the best strains for the biocontrol of aphid at high temperature of $30^{\circ}C$ and low relative humidity (RH) of 85%, respectively. The cumulative mortality of strain 4078 at $30^{\circ}C$ after 3 days was 100% and that of strain 6543 was 90% at 85% RH after 5 days. Strain 4078 also exhibited almost 100% germination ratio of conidia and high rate of mycelial growth at the broad temperature-range of $15{\sim}25^{\circ}C$. The strain 4078 and 6543 were all identified as Lecanicillium species based on the DNA sequences (accession no.: EF026004 and EF026005, respectively) of the ITS regions of the fungi. Excellent production of aerial conidia of strain 6543 was accomplished by using steamed polished rice as the solid culture medium.