• 한국멀티미디어학회논문지
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• 제17권10호
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• pp.1160-1170
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• 2014

Clustering methods are very useful in many fields such as data mining, classification, and object recognition. Both the supervised and unsupervised grouping approaches can classify a series of sample data with a predefined or automatically assigned cluster number. However, there is no constraint on the number of elements for each cluster. Numbers of cluster members for each cluster obtained from clustering schemes are usually random. Thus, some clusters possess a large number of elements whereas others only have a few members. In some areas such as logistics management, a fixed number of members are preferred for each cluster or logistic center. Consequently, it is necessary to design a clustering method that can automatically adjust the number of group elements. In this paper, a k-means based clustering method with a fixed number of cluster members is proposed. In the proposed method, first, the data samples are clustered using the k-means algorithm. Then, the number of group elements is adjusted by employing a greedy strategy. Experimental results demonstrate that the proposed clustering scheme can classify data samples efficiently for a fixed number of cluster members.

• 아동학회지
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• 제20권3호
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• pp.275-291
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• 1999

The effect of prosocial story telling and discussion on the development of children's helping and sharing behaviors and prosocial reasoning was studied. Subjects were 36 five-year-old kindergarten children assigned to control or experimental groups. The research design consisted of a pre-test and pre-observation, 6 week intervention, and post-test and post-observation. Data were collected by means of a video camera and analyzed by adjusted means and ANCOVA, using the SPSS/PC+. Both children's helping behavior and prosocial reasoning was higher in the group exposed to prosocial story telling with discussion as compared with the group with story telling only and the control group.

• 품질경영학회지
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• 제28권3호
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• pp.124-132
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• 2000

A selected subject and a standardized scoring system were newly enforced at college entrance examination from 1999. A selected subject system means each student can select one subject in addition to common subject in the field of mathematical research II and a standardized scoring system means we standardize the score of each field as mean 50 and standard deviation 10 in order to adjust the degree of difficulty between fields. In the field of mathematical research II, there may exist not only difference of the degree of difficulty but also that of general studying ability between groups of selected subjects. So when we standardize score, we have to consider them. So far a linear equating which is a parametric method and an equi-percentile equating which is a nonparametric method have been published, but both of them supposed that the general studying ability between groups was equal. So in this paper an adjusted linear and percentile equating method which seems to be adequate to our entrance examination is suggested and is investigated by computer simulation.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 추계학술대회 논문집 학회본부 B
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• pp.824-826
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• 1999

In this paper, we design an Fuzzy-Neural Networks(FNN) by means of divisions of fuzzy input space with multi-input variables. Fuzzy input space of Yamakawa's FNN is divided by each separated input variable, but that of the proposed FNN is divided by mutually combined input variables. The membership functions of the proposed FNN use both triangular and gaussian membership types. The parameters such as apexes of membership functions, learning rates, momentum coefficients, weighting value, and slope are adjusted using genetic algorithms. Also, an aggregate objective function(performance index) with weighting value is utilized to achieve a sound balance between approximation and generalization abilities of the model. To evaluate the performance of the proposed model, we use the data of sewage treatment process.

• 여성건강간호학회지
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• 제8권1호
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• pp.34-54
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• 2002

This study was conducted to assess the knowledge and educational need of pregnant women relating to antepartum, delivery, puerperium period and to identify the variables which influenced their knowledge and educational need. The study subjects were 77 antepartum women who had antenatal educations and 106 antepartum women who did not have antenatal education. Number of total antepartum women were 183. Data were collected from women who visited for antenatal care at general hospitals and public health centers in Pusan and Kyungnam area using qestionnaires from Feb. 1. 1998 to Apr. 20. 1998. SAS/PC program was used for data analysis. ; Chi-square test, t-test, Pearson's Correlation Coefficient, ANOVA(Duncan procedure) and MANOVA. The results of this study were as follows: 1. Relating to the antepartum period between two groups, the knowledge about the number of antenatal care was low, relating to labor the knowledge about the time fix the fetal position and relating to postpartum, the knowledge about the change of blood pressure and body temperature was low. 2. The comparision means of knowledge were adjusted by social demographic characteristics related to knowledge. There were statistically significant differences in total mean score of knowledge about pregnancy, delivery and postpartum between two groups. In full marks 19, the mean scores of the educational group and non-educational group were 13.08 and 11.74 respectively (P=.000). In resultly, there are statistically significant differences between two groups. The effectiveness of antenatal education group was very high and showed its importance. 3. The comparision means of educational need were adjusted by social demographic characteristics related to educational need. The mean scores of educational need were statistically significantly different in pregnancy, delivery and puerperium period. 4. There were positive correlations between the knowledge and educational level, duration of marriage and total numbers of pregnancy. There were negative correlation between the educational need and age, educational level, duration of marriage and total number of pregnancy. The above results showed the effects of antenatal education.

• 대한교통학회지
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• 제29권3호
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• pp.21-29
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• 2011

본 연구는 음주운전을 억제시키기 위한 정책 중, 유인정책으로 제시되고 있는 교통안전교육의 음주운전 억제효과를 분석하였다. 본 연구를 위하여 2003년 경기도 성남시에서 음주운전으로 단속되어 운전면허 정지처분을 받은 운전자의 처분이후 5년간의 운전행태를 추적한 자료를 대상으로 하였다. 교통안전교육 이수 및 교육종류에 따른 음주운전 재범발생횟수와 음주운전 준수기간을 효과척도로 하여 공분산분석을 실시하였으며, 집단 간 조정평균으로써 음주운전 억제효과를 비교하였다. 분석결과 교통안전교육은 음주운전 재범발생이 적었고 음주운전 준수기간도 길어 음주운전 억제효과가 있었다. 특히 교육형태별로 체험식 토론식 교육이 강의식교육에 비하여 재범발생은 12% 감소하였고, 준수기간은 5.7% 증가하여 효과가 더 큰 것으로 나타났다.

• Journal of Electrical Engineering and Technology
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• 제3권1호
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• pp.101-107
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• 2008

We introduce an optimization of fuzzy set-fuzzy systems based on IG (Information Granules). The proposed fuzzy model implements system structure and parameter identification by means of IG and GAs. The concept of information granulation was coped with to enhance the abilities of structural optimization of the fuzzy model. Granulation of information realized with C-Means clustering helps determine the initial parameters of the fuzzy model such as the initial apexes of the membership functions in the premise part and the initial values of polynomial functions in the consequence part of the fuzzy rules. The initial parameters are adjusted effectively with the help of the GAs and the standard least square method. To optimally identify the structure and the parameters of the fuzzy model we exploit GAs with successive tuning method to simultaneously search the structure and the parameters within one individual. We also consider the variant generation-based evolution to adjust the rate of identification of the structure and the parameters in successive tuning method. The proposed model is evaluated with the performance of the conventional fuzzy model.

• 인터넷정보학회논문지
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• 제23권2호
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• pp.45-52
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• 2022

With the development of artificial intelligence analysis methods, especially machine learning, various fields are widely expanding their application ranges. However, in the case of classical music, there still remain some difficulties in applying machine learning techniques. Genre classification or music recommendation systems generated by deep learning algorithms are actively used in general music, but not in classical music. In this paper, we attempted to classify opera among classical music. To this end, an experiment was conducted to determine which criteria are most suitable among, composer, period of composition, and emotional atmosphere, which are the basic features of music. To generate emotional labels, we adopted zero-shot classification with four basic emotions, 'happiness', 'sadness', 'anger', and 'fear.' After embedding the opera libretto with the doc2vec processing model, the optimal number of clusters is computed based on the result of the elbow method. Decided four centroids are then adopted in k-means clustering to classify unsupervised libretto datasets. We were able to get optimized clustering based on the result of adjusted rand index scores. With these results, we compared them with notated variables of music. As a result, it was confirmed that the four clusterings calculated by machine after training were most similar to the grouping result by period. Additionally, we were able to verify that the emotional similarity between composer and period did not appear significantly. At the end of the study, by knowing the period is the right criteria, we hope that it makes easier for music listeners to find music that suits their tastes.

• Journal of Nutrition and Health
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• 제33권1호
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• pp.68-79
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• 2000

This study was developed the nutrition education program for kindergarten children and was evaluated its educational effect by 'Non-equivalent control group design'. Nutrition education program was developed on the basis of the concept which consisted of nutrition, nutrients, food handling, life cycle and social$.$psychological needs. And it was developed on the basis of the theme which consisted of kind of foods, relation between food and body, importance of food, food and sanitation, food and environment, Korean traditional food and good table manners. Subjects consisted of 157 kindergarten children, with 48 in control group and 109 in treatment group. All the subjects completed a pretest and a posttest and the posttest means between control and treatment group were compared. The control group had a adjusted posttest mean score of nutrition knowledge of 50.64 and the treatment group had that of 75.19 and the difference was significant(p<0.001). The control group had a adjusted posttest mean score of food attitude of 65.49 and the treatment group had that of 85.40 and the difference was significant(p<0.001). (Korean J Nutrition 33(1) : 68-79, 2000)

• 한국정밀공학회지
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• 제19권3호
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• pp.33-38
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• 2002

To establish the national standard of capacitance, four main electrodes of the cross capacitor which were evaluated to linearity and roundness less the $\pm 1 \mu m$ respectively have to be adjusted symmetrically in an inner cylinder. Four LM shafts with diameter of 5 mm were installed between main electrodes of the cross capacitor, and the electrodes were adjusted, as the first step, by means of the measured capacitance. In the second step, the symmetrical adjustment up to $\pm 1.2\mu m$ was performed by using a ball sensor, ball-type movable sensor, non-contacting capacitive sensor and upper guard sensor which were developed in this project.