• Journal of Nutrition and Health
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• 제44권4호
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• pp.312-325
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• 2011

The purpose of this study was to investigate dietary behaviors and nutritional knowledge among immigrant women in multicultural families. In addition, this study reveals a necessity for nutrition education, which is apparent to both immigrant women living in multicultural families as well as nutrition education experts. The survey was conducted with 30 immigrant women within multicultural families in Seoul. The dietary behaviors of the women were significantly different by their period of residence. The longer they had resided in Korea, the higher their dietary behavior score. However, there was no significant difference in nutrition knowledge by their period of residence. This study also conducted in-depth personal interviews with 8 immigrant women who lived in Seoul, and with 4 nutrition education experts. These interviews were performed to provide profound insights regarding the content and means of nutrition education for immigrant women. Nutrition education for immigrant women living in multicultural families should proceed at a basic level in terms of language and content, using bilingual (Korean and their native language) education materials. Education topics and content need to be developed differently according to the level of Korean comprehension and period of residence in Korea. Also, this multicultural approach should be adapted when planning nutrition education since immigrant women have various acculturation levels, and the content and means of education should be adjusted to these acculturation levels. Management after nutrition education is necessary for immigrant women who do not have sufficient understanding of the Korean language. Practical educational methods such as real cooking practices and food purchasing simulations must be developed. Finally, the results suggest that the government needs to establish a systematic plan for nutrition education among immigrant women living in multicultural families. Policy support such as training nutrition educators on multicultural individuals residing in Korea is necessary for active and effective nutritional education.

• 응용통계연구
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• 제18권2호
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• pp.311-328
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• 2005

본 논문은 농어가경제조사에서 발생하는 무응답을 처리하는 방법에 관한 것이다. 농어가경제조사는 모두 층화다단표집을 한 후 가중평균으로 모평균을 추정하므로 이에 적합한 대체법으로 가중핫덱 대체법을 고려하여 가중핫덱 대체 절차와 모평균 추정법, 그리고 대응되는 분산추정법을 고찰하였다. 그리고 모의실험을 통하여 가중핫덱 대체가 두 조사에 적용될 수 있음을 보였고 수정된 잭나이프 분산추정법을 사용하면 추정치의 신뢰도도 효과적으로 나타낼 수 있음을 보였다. 또한 두 조사에 적용할 수 있는 대체군 형성 절차를 제시하고, 예로써 각각 4가지 방안을 비교, 분석하였다. 그리고 그 중 가장 효율적인 방안을 결과로써 제시하였다.

• 한국중재학회지:중재연구
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• 제29권4호
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• pp.165-186
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• 2019

The parties are jointly and severally liable to pay to the arbitrators such reasonable fees and expenses (if any) as are appropriate in the circumstances. Any party may apply to the court (upon notice to the other parties and to the arbitrators) which may order that the amount of the arbitrators' fees and expenses shall be considered and adjusted by such means and upon such terms as it may direct. Arbitrators' fees and expenses are calculated on the basis of informal time fees determined by the arbitrators themselves, and the fees and expenses also vary greatly depending on the nature of the case. Obviously, when appointing a member of the LMAA as an arbitrator, it is rare to negotiate the fees and expenses with the arbitrator and to make specific arrangements for the fees and expenses. And it is common for between an arbitrator and a party to have an arbitrator agreement only in accordance with LMAA Terms. And it is common for between an arbitrator and a party to have an arbitrator agreement only in accordance with LMAA Terms. The purpose of this study analyzes the structure of arbitrators' fees and expenses under the UK Arbitration Act and LMAA Terms 2017. The contents can be divided into the relationship between the arbitrator and the parties (the claim of fees, the type of fees) and the relationship between the parties(the burden rate of arbitrators' fees). In this regard, this study suggests the implications after comparatively analyzing the UK Arbitration Act and the LMAA Terms 2017.

• 한국수학교육학회지시리즈C:초등수학교육
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• 제5권1호
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• pp.21-39
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• 2001

This study is to develop assessment framework, test items and questionnaire for the National Assessment of Educational Achievement(NAEA), which administered in the elementary and secondary schools across the country in this year(2000). According to the first year study result of the NAEA, the test was administered in two core subjects, Mathematics and Social Studies. In this study, test items and sets of questionnaire and administered pretest were developed in the last year. In this year, the NAEA was administered with the adjusted test items and questionnaires and the results was analyzed and would be reported to the public. NAEA was developed on the basis of national curriculum, especially of the nature and objectives of subject curriculum in Mathematics (and also Social Studies). In the framework of assessment, we set up four differentiated levels of student achievement:‘under basic’,‘basic’,‘intermediary’, and ‘advanced’. Here ‘the intermediary level’means the level of educational achievement in which students can understand average content of subject curriculum. ‘Advanced level ’indicates the level of educational achievement in which students master all the content of subject curriculum and apply basic concepts and principles to a variety of situations. ‘The basic level’means the level of educational achievement in which students do not achieve the intermediary level. Students who do not understand average content of subject curriculum are classified as belonging to the basic level. Finally, this study would explain how to administer and analyze the test int he future. The test result was analyzed to report students’s educational achievement according to regions, content area, behavioral characteristics, and etc. This study would show how to report test results and how to set up student’s academic achievement.

• 전기학회논문지
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• 제60권1호
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• pp.184-192
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• 2011

In this study, we introduce a identification methodology for FCM-based fuzzy model. The two underlying design mechanisms of such networks involve Fuzzy C-Means (FCM) clustering method and Particle Swarm Optimization(PSO). The proposed algorithm is based on FCM clustering method for efficient processing of data and the optimization of model was carried out using PSO. The premise part of fuzzy rules does not construct as any fixed membership functions such as triangular, gaussian, ellipsoidal because we build up the premise part of fuzzy rules using FCM. As a result, the proposed model can lead to the compact architecture of network. In this study, as the consequence part of fuzzy rules, we are able to use four types of polynomials such as simplified, linear, quadratic, modified quadratic. In addition, a Weighted Least Square Estimation to estimate the coefficients of polynomials, which are the consequent parts of fuzzy model, can decouple each fuzzy rule from the other fuzzy rules. Therefore, a local learning capability and an interpretability of the proposed fuzzy model are improved. Also, the parameters of the proposed fuzzy model such as a fuzzification coefficient of FCM clustering, the number of clusters of FCM clustering, and the polynomial type of the consequent part of fuzzy rules are adjusted using PSO. The proposed model is illustrated with the use of Automobile Miles per Gallon(MPG) and Boston housing called Machine Learning dataset. A comparative analysis reveals that the proposed FCM-based fuzzy model exhibits higher accuracy and superb predictive capability in comparison to some previous models available in the literature.

• 대한지역사회영양학회지
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• 제29권3호
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• pp.234-252
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• 2024

Objectives: This study examined the intake of energy and macronutrients among elementary, middle, and high school students according to household income before the COVID-19 pandemic (2016-2019), during the social distancing period (2020-2021), and after the social distancing measures were lifted (2022). Methods: We included 5,217 students aged 5-18 from the Korea National Health and Nutrition Examination Survey (KNHANES) conducted between 2016 and 2022. Dietary intake was assessed using one-day 24-hour dietary recalls. We estimated the least squares means (LS-means) of intake according to household income for each period using a weighted linear regression model, adjusted for age and sex. Differences in LS-means between the periods were analyzed using the t-test. Results: During the social distancing period, the LS-means of energy intake among students decreased significantly by 143.2 kcal/day compared to pre-pandemic levels (P < 0.001). Students from low-income households experienced a more pronounced decrease in energy intake (-379.1 kcal/day, P < 0.001) and macronutrient intake compared to those from other income groups. Energy intake at school significantly declined for all income groups during the social distancing period compared to before the pandemic. No significant changes in home energy intake were observed among low-income students, whereas there was an increase for students from higher-income groups. Before the pandemic, 8.5% of students from low-income households reported insufficient food due to economic difficulties; this figure rose to 21.3% during the pandemic. Conclusions: During the pandemic, students from low-income families experienced significantly lower intake of energy and macronutrients compared to pre-pandemic levels. The most substantial reductions were noted among low-income students, largely due to the lack of compensation for decreased school-based intake with increased intake at home.

• International Journal of Control, Automation, and Systems
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• 제1권1호
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• pp.101-110
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• 2003

This paper introduces an identification method for nonlinear models in the form of rule-based Fuzzy-Neural Networks (FNN). In this study, the development of the rule-based fuzzy neural networks focuses on the technologies of Computational Intelligence (CI), namely fuzzy sets, neural networks, and genetic algorithms. The FNN modeling and identification environment realizes parameter identification through synergistic usage of clustering techniques, genetic optimization and a complex search method. We use a HCM (Hard C-Means) clustering algorithm to determine initial apexes of the membership functions of the information granules used in this fuzzy model. The parameters such as apexes of membership functions, learning rates, and momentum coefficients are then adjusted using the identification algorithm of a GA hybrid scheme. The proposed GA hybrid scheme effectively combines the GA with the improved com-plex method to guarantee both global optimization and local convergence. An aggregate objective function (performance index) with a weighting factor is introduced to achieve a sound balance between approximation and generalization of the model. According to the selection and adjustment of the weighting factor of this objective function, we reveal how to design a model having sound approximation and generalization abilities. The proposed model is experimented with using several time series data (gas furnace, sewage treatment process, and NOx emission process data from gas turbine power plants).

• Journal of Acupuncture Research
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• 제19권4호
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• pp.200-207
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• 2002

Oculomotor palsy presents itself with sudden onset unilateral ptosis and inability to turn the eye upward, downward, or inward, which causes visual disturbances. We observed 5 cases of patient with oculomotor palsy, the results are as follows. Methods & Results : All patients were treated by the same method and treatment was performed by means of electroacupuncture(4Hz frequency, intensity was adjusted so that localized muscle contractions could be seen). The electrodes were placed unilaterally on BL2 to Kwangmyong(head) and GB14 to Ex-HN4. As the result, symptoms are improved remarkably. Conclusion : Patients were treated for 9.6weeks, 26.4 times(average). Improvement started after 6.6 times treatment, and symptoms were nearly cleared after 12.4 times, 4.6 weeks treatment.

• 전기의세계
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• 제18권4호
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• pp.22-30
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• 1969

The development of the frequency convertors using semiconductors devices makes it possible to control the speed of A.C. motors easily. It is now economically feasible to provide them with power at adjustble frequency using silicon-controlled rectifier (or thyristor) inverters. In such a case, in order to operate an induction motor efficiently over a wide speed range, it must be supplied from a variable frecuency source of which frequency is adjustable over the speep range of the motor. It is desired to observe the changes in characteristics as primary current, torque-speed of induction moter etc. at any optional frequncy. Although the charactheristies can be obtained by means of the conventional methods they require very complicated precedures of calcuations. The Current Diagram Method in this paper suggests a new approach to simpler calcuations of the characteristics, using the motor constants at reference frequency. The conclusions of this study are summarized as follows: (1) The equations of stator current at adjusted frequency were derived to construct graphical chart and the current circle required for the Current Diagrm Method. (2) The radius, center of the current circle and the vector locus, the basis for calculating the characteristics, at any desired frequency could be easily determined with the aid of both the derived graphical chart and current circle at reference frequency. (3) The method was shown to be applicable to the various types of 3-phase induction motors and also dealt with its application to the split-phase, condenser motors.

• 한국디지털건축인테리어학회논문집
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• 제12권1호
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• pp.71-79
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• 2012

This study aims at finding relationships between the competitiveness of cities and the size or distance of them, based on some premises; (1) the competitiveness can be measured on the interval-ratio level, that is, factor scores, (2) a hypothesis that the spatial interaction model is valid for the relationships can be generally accepted. Based on the general recognition a research hypothesis that the more is the population or the nearer is the distance from a central city the higher is the competitiveness score is constructed. According to the premises 5-factor scores and composite score are calculated by means of regression method, and the scores are regressed on cities' populations and distances from Seoul city. Using bootstrapping method for the tests of significance is effective due to small sample of 21 cities. Results of the analyses show that most aspects of the hypothesis should be rejected or adjusted. Scores on Health-welfare factor, public service factor, and commercial vitality factor have no relation to the cities' sizes or distances. But the results also find the facts that the strong (negative) relationships exist between (1) educational base factor score and population, (2) density factor score and distance. Although this study improves systematic and analytic understanding of spatial interaction patterns, the understanding should be invalid for the general context because it has used the data on 21 cities in the capital region at the time of 2009.