• Journal of the Korea Society of Computer and Information
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• v.19 no.12
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• pp.239-246
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• 2014

In this paper, we propose a method to decide the additional edges in order to integrate two communitites A,B($${\mid}A{\mid}{\geq_-}{\mid}B{\mid}$$, ${\mid}{\cdot}{\mid}$ is the size of the set). The proposed algorithm uses a fitness function that shows the property of a community and the fitness function is defined by the number of edges which exist in the community and connect two nodes, one is in the community and the other is out of the community. The community has a strong property when the function has a large value. The proposed algorithm is a kind of greedy method and when a node of B is merged to A, the minimum number of additional edges is decided to increase the fitness function value of A. After determining the number of additional edges, we define the community connectivity measures using the node centrality to determine the edges locations. The connections of the new edges are fixed to maximize the connectivity measure of the combined community. The procedure is applied for all nodes in B to integrate A and B. The effectiveness of the proposed algorithm is shown by solving the Zachary Karate Club network.

• Journal of the Korea Society of Computer and Information
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• v.25 no.6
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• pp.25-33
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• 2020

In this paper, the purpose is to verify the impact of performance expectations, effort expectations, social impact, individual innovation and perceived value on the intent of use and the behavior of use. Used Unified Theory of Acceptance and Use of Technology (UTAUT) to verify the applicability of this model in China, and established the research model by adding two new variables to UTAUT according to the situation of the Chinese market. To achieve this goal, 345 questionnaires were collected for experienced music creators using artificial intelligence nuggets in China by means of Internet research. The collected data were analyzed through frequency analysis, factor analysis, reliability analysis, and structural equation analysis through SPSS V. 22.0 and AMOS V 22.0. The verification of the hypotheses presented in the research model identified the decisive influence factors on the use of artificial intelligence music acceptance by Chinese users. The study is innovative in that it attempts to verify the applicability of UTAUT in the Chinese context. In the construction of the user acceptance model of AI music, three influencing factors will have an effect on users' intentions, and according to the degree of effect, from largest to smallest, they are respectively Perceived Innovativeness, Performance Expectancy and Effort Expectancy. This paper will also provide some management advices, i.e. improving the utility and usability of AI music, encouraging users with individual innovativeness, developing competitive and attractive pricing policies, increasing publicity, and prioritizing word-of-mouth advertising.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.499-508
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• 2017

For analyzing the performance determinants of ODA projects in a technical and vocational education and training, this research analyzed the performance determinants of effectiveness representing the direct benefit and impact representing the long-term development effects of ODA project using FsQCA. As a result, the effectiveness of ODA project is achieved when relevance, sustainability and impact are high, or relevance, impact and efficiency are high. The impact of ODA project is achieved when relevance, sustainability and effectiveness are high, or relevance, effectiveness and efficiency are high. Two solutions for achieving effectiveness and two solutions for achieving impact show equifinality. The core factors for achieving effectiveness are relevance and impact, and the core factors for achieving impact are relevance and effectiveness. Also sustainability and efficiency are substitutability. A single causal variable can not have an effect on the ODA performance, but combined more than three causal variables can have an effect on the ODA performance. Therefore this research verified that collectives of causal variables rather than single causal variable should be considered to achieve the performance of ODA project in technical and vocational education and training.

• Korean Journal of Social Welfare Studies
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• no.36
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• pp.203-225
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• 2008

The purpose of this study is to examine how much the external locus of control, social support, self-esteem, and adoption decision making process influence to teen parents' grief and find out the differences depending on meeting the baby, breast-feeding, anticipating the meeting the baby, ceremony for separation, and exposing their grief by themself or to others. Data was analysed with multiple regression and t-test. With the result of multiple regression analysis, the higher external locus of control, pressure of birthfather, regrets for adoption decision are, the higher grief is, and the lower support of friends and self-esteem are, the higher grief is. And It is estimated high grief statically among the group of breast-feeding, anticipating the baby, no ceremony for separation. But the group exposing their grief by self or to others felt low grief. On the basis of the results, we will find out the meaningful contents for intervention. The staffs of birthmother shelter and social worker don't overlooking the relationship between birthmother and birthfather and enforce the internal locus of control, self-esteem. Above all we will intervene about exploring the adoption decision making and facilitate the exposure of feeling related to surrendered baby(guilt, anxiety, sadness, shame, fear).

• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.4
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• pp.455-460
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• 2003

A new cluster validity index is proposed that determines the optimal partition and optimal number of clusters for fuzzy partitions obtained from the fuzzy c-means algorithm. The proposed validity index exploits an overlap measure and a separation measure between clusters. The overlap measure is obtained by computing an inter-cluster overlap. The separation measure is obtained by computing a distance between fuzzy clusters. A good fuzzy partition is expected to have a low degree of overlap and a larger separation distance. Testing of the proposed index and nine previously formulated indexes on well-known data sets showed the superior effectiveness and reliability of the proposed index in comparison to other indexes.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.9
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• pp.31-39
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• 2009

This paper shows prioritization process for equipment investment plans considering reliability indices and economical efficiency. To decide prioritization of distribution investment projects, we made a distribution system model using system configuration, it's component and load information and designed several investment alternatives to improve reliability of present system. Lastly, we proposed a evaluation model of economical efficiency assessment on distribution investment alternative projects. To analyze influence by reliability and economical efficiency, we produced economical effects with applying time-varying failure rate of KEPCO's main equipments of distribution system and interruption cost of electric power affected by investment. Finally, in order to insure the validity of this proposed methodology, we compared investment prioritization by economical evaluation with that of real investment alternatives of KEPCO's branch office. In conclusion, this paper shows what and how to interpret the reliability effects of distribution system investments into financial indicators beneficial for power utilities's managers to make decision on the perspective of corporate value.

• The Journal of the Korea Contents Association
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• v.11 no.3
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• pp.403-417
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• 2011

The purpose of this research is to specifically verify the influence of empowerment factors of employees working at an advertising agency on job satisfaction, organizational commitment and turnover intention to suggest useful data for advertising agencies' efficient management of human resources. First, this study proved that as the importance of meaning and self-determination among the subordinate infrastructure factors of empowerment is emphasized, job satisfaction, and organizational commitment are increased. If the importance of competence and impact factors is emphasized, job satisfaction is increased. Second, as the importance of job satisfaction and organizational commitment is emphasized, turnover intention is decreased. Third, as the importance of the meaning factor among the empowerment's factors such as meaning, competence, self-determination, and impact, is emphasized, turnover intention is decreased. The result implies that the executives of an advertising agency should try to increase the influence of empowerment on reducing turnover intention by enhancing job satisfaction and organizational commitment.

• Journal of KIISE:Software and Applications
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• v.36 no.3
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• pp.236-243
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• 2009

With advances in topic detection and tracking(TDT), automatic trend analysis from a collection of time-stamped documents, like patents, news papers, and blog pages, is a challenging research problem. Past research in this area has mainly focused on showing a trend line over time of a given concept by measuring the strength of trend-associated term frequency information. for detection of emerging trends, either a simple criterion such as frequency change was used, or an overall comparison was made against a training data. We note that in order to show most salient trends detected among many possibilities, it is critical to devise a ranking function. To this end, we define four properties(change, persistency, stability and volume) of trend lines drawn from frequency information, to quantify various aspects of trends, and propose a method by which trend lines can be ranked. The properties are examined individually and in combination in a series of experiments for their validity using the ranking algorithm. The results show that a judicious combination of the four properties is a better indicator for salient trends than any single criterion used in the past for ranking or detecting emerging trends.

• Korean Journal of Crystallography
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• v.8 no.1
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• pp.38-47
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• 1997

A new weighing sensor for the automatic diameter control system of the crystal growth is developed in this study. This weighing sensor measures the frequency of the vibrating element which is lineally changing with respect to weight. The signal and the power of this system are transmitted without any physical contact, so that this sensor offers high accuracy and resolution. This system consists of a string, a sinusoidal wave generator, an automatic amplification adjusting circuit, signal transformers and a PCB. 4 kinds of programs are developed for checking DAC, weight calibration and controlling growth process. The measurements of the standard deviation and the resolution show $\pm0.10g$(measured at every second) and $5{\times}10^{-5}$, respectively, This weighing sensor is effective under high pres-sure of 200 atm, high temperature and vacuum condition. The weighing system can control the temperature in the accuracy of $\pm0.025^{\circ}C$ with the 'signal divider'. The optical quality single crystals of $(YGd)_3Sc_2Ga_3O_{12},\;Er-Y_3Sc_2Al_3O_{12},\;and\;Bi_{12}GeO_{20}$ have been grown by Czo-chralski method using this auto-diameter control system.

• The Journal of Engineering Geology
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• v.29 no.3
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• pp.339-349
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• 2019

The relationship between the P wave velocity, static elastic modulus, and dynamic elastic modulus of different rock types was investigated to identify the distributive characteristics of the dynamic elastic modulus. Laboratory and in situ test results from 1,646 rock specimens, which are obtained for design and construction of structure, were analyzed, and grouped into three key rock types: gneiss, granite, and sandstone. These relationships were verified by comparing them with the results from previous studies. The gneiss samples exhibit a linear P wave velocity-static elastic modulus relationship, whereas the granite and sandstone samples exhibit exponential relationships. Their coefficient of determination ($R^2$) values are all in the 0.491-0.642 range, and are similar to those obtained in previous studies. The relationship between the static and dynamic elastic modulus exhibits a linear relationship for all rock types, yielding a coefficient of determination in the 0.543-0.676 range. The relationship between the P wave velocity and static elastic modulus follows an exponential regression for all rock types, with a high coefficient of determination that is in the 0.875-0.940 range.