• 전기학회논문지
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• 제58권2호
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• pp.399-406
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• 2009

In this study, Polynomial Radial Basis Function Neural Network(pRBFNN) based on Fuzzy Inference System is designed and its parameters such as learning rate, momentum coefficient, and distributed weight (width of RBF) are optimized by means of Particle Swarm Optimization. The proposed model can be expressed as three functional module that consists of condition part, conclusion part, and inference part in the viewpoint of fuzzy rule formed in 'If-then'. In the condition part of pRBFNN as a fuzzy rule, input space is partitioned by defining kernel functions (RBFs). Here, the structure of kernel functions, namely, RBF is generated from HCM clustering algorithm. We use Gaussian type and Inverse multiquadratic type as a RBF. Besides these types of RBF, Conic RBF is also proposed and used as a kernel function. Also, in order to reflect the characteristic of dataset when partitioning input space, we consider the width of RBF defined by standard deviation of dataset. In the conclusion part, the connection weights of pRBFNN are represented as a polynomial which is the extended structure of the general RBF neural network with constant as a connection weights. Finally, the output of model is decided by the fuzzy inference of the inference part of pRBFNN. In order to evaluate the proposed model, nonlinear function with 2 inputs, waster water dataset and gas furnace time series dataset are used and the results of pRBFNN are compared with some previous models. Approximation as well as generalization abilities are discussed with these results.

• 대한영양사협회학술지
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• 제14권3호
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• pp.276-290
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• 2008

This study examined mothers' perceptions on nutrition education for elementary school students according to demographical factors. Questionnaires were distributed to the mothers of 511 elementary school students in the Busan area. According to the results, 50% of the respondents felt that the preschool years or the lower elementary grades were proper times to start nutrition education. Furthermore, they preferred school dietitians (55.4%), outside professional dietitians (16.3%), nurse teachers (13.8%), class room teachers (11.7%), and parents (2.8%) as nutrition educators. The mothers who were college and university graduates had significantly (p<0.001) higher scores regarding the necessity of nutrition education for student growth when compared to mothers who were high schools graduates. However, the high school graduates had significantly (p<0.001) higher scores than the college and university graduates with respect to nutrition education for correcting obesity. The order of importance for nutrition education curriculum content was as follows: eating habits, food safety, health and disease, maintaining ideal body weight, food waste and environment, basic food knowledge, and traditional foods. The college and university graduates, and those of 'A' group schools, had significantly (p<0.001) higher importance scores for proper eating habits. Mothers having experience with nutrition education comprised 43.9% of the subjects, and there was a significantly (p<0.05) higher percentage of employed mothers as compared to unemployed. Eighty-six percent of the respondents wanted to receive nutrition education. For more effective learning, they preferred in-person group education rather than correspondence education using e-mails or printed materials from schools.

• 디지털융복합연구
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• 제12권10호
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• pp.415-423
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• 2014

본 연구는 보건계열 대학생을 대상으로 일반적 특성에 따른 학과만족도, 진로의사결정유형, 진로준비행동의 차이를 파악하고, 변수들 간의 관계와 진로준비행동에 미치는 영향을 파악하여, 진로지도 프로그램을 개발하는데 기초자료를 제공하고자 시행하였다. 연구의 대상자는 B와 G광역시에 소재한 3년제 학과인 응급구조과, 물리치료과, 보건행정과, 치위생과 대학생을 임의선정하고 편의표집 한 450명으로 하였다. 조사기간은 2013년 11월 12일부터 15일까지이었고, 배부된 설문지 450부 중 418부를 최종 분석하였다. 자료분석은 SPSS 14.0 for Window 프로그램을 사용하였다. 연구결과, 변수들 간의 상관관계를 보였고, 학과만족도는 진로준비행동에 가장 큰 영향은 적성학습이었고, 다음으로 대인관계, 진로직업이었다. 진로의사결정유형의 합리적 유형은 진로준비행동에 정(+)의 영향을 보였고, 의존적 유형, 직관적 유형은 진로준비행동에 부(-)의 영향을 보였다.

• 한국초등과학교육학회지:초등과학교육
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• 제24권2호
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• pp.160-173
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• 2005

In this study, we had tried to present a plan for improving the actual conditions of practical utilization of teaching material for 6th grade science developed by Ministry of Education & Human Resources Development and distributed to all elementary schools in Korea. Also we presented ways of better utilization of the teaching material after investigating the actual conditions of practical utilization. A survey was made to investigate and collect all data in the major metropolitan cities, the Kangwon, Chungcheong, Honam, and Kyeongsang area, respectively. We surveyed 316 6th grader teachers to investigate the actual conditions of distribution and utilization of teaching material as a general research. In addition, we surveyed 46 teachers to investigate the organization and content of teaching material as a particular research. The results are as follows. First, the teaching material was not approximately transmitted and kept to 6th grader teachers. Second, the utilization guide was not made. Third, it was reported that the thematic divisions of teaching material was a strong point, but the less detailed experiment manual was a weak point. Fourth, the consideration of content difficulties and simplicity was necessary to improve the material. Fifth, additional items should be included in the introductory presentation, convenience of reorganization, activity material causing learning interest, guidance of substitution experiment, and more concrete notice of experiment activity. Finally, there were positive responses of more than 4.0 point of Likert scale (1 to 5 point scale) in detail investigations of thematic items, which could have possibility that the teaching material was helpful to elementary school science field.

• 한국정보통신학회논문지
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• 제13권10호
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• pp.2180-2188
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• 2009

본 논문은 지능로봇의 동작을 제어하기 위해 비전기반의 실시간 수신호를 PCA 및 BP 알고리즘을 이용한 인식시스템을 제안하였다. 수신호 인식은 PCA 알고리즘을 이용한 전처리 단계와 BP 알고리즘을 이용한 인식의 두 단계로 구성한다. PCA 알고리즘은 데이터 분석을 위해 다차원 데이터 집합을 보다 낮은 차원으로 감소시키기 위해 사용되는 기술로 주어진 수신호의 특징인 투영 벡터를 계산하기 위하여 적용되었고, BP 알고리즘은 병렬 구조를 가지고 있으므로 병렬 분산처리가 가능하고, 처리 속도가 빠르므로 PCA로부터 훈련된 고유 수신호를 학습시켜 수신호를 실시간으로 인식한다. 실험에서는 10종류의 수신호를 PCA 알고리즘만을 사용한 경우와 제안한 PCA 및 BP 알고리즘을 사용한 경우와 인식률을 비교하여 제안한 알고리즘이 우수하다는 것을 보였다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2012년도 학술발표회
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• pp.39-39
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• 2012

Data assimilation techniques have received growing attention due to their capability to improve prediction in various areas. Despite of their potentials, applicable software frameworks to probabilistic approaches and data assimilation are still limited because the most of hydrologic modelling software are based on a deterministic approach. In this study, we developed a hydrological modelling framework for sequential data assimilation, namely MPI-OHyMoS. MPI-OHyMoS allows user to develop his/her own element models and to easily build a total simulation system model for hydrological simulations. Unlike process-based modelling framework, this software framework benefits from its object-oriented feature to flexibly represent hydrological processes without any change of the main library. In this software framework, sequential data assimilation based on the particle filters is available for any hydrologic models considering various sources of uncertainty originated from input forcing, parameters and observations. The particle filters are a Bayesian learning process in which the propagation of all uncertainties is carried out by a suitable selection of randomly generated particles without any assumptions about the nature of the distributions. In MPI-OHyMoS, ensemble simulations are parallelized, which can take advantage of high performance computing (HPC) system. We applied this software framework for several catchments in Japan using a distributed hydrologic model. Uncertainty of model parameters and radar rainfall estimates is assessed simultaneously in sequential data assimilation.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제6권10호
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• pp.487-492
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• 2017

클러스터링은 빅데이터 분석 및 데이터 마이닝 분야에서 데이터 간 유사성을 파악하기 위해 사용하는 기법으로 다양한 클러스터링 기법 중 범주적 데이터를 위해 k-Modes 알고리즘이 대표적으로 사용된다. k-Modes와 같이 반복적 연산이 집중된 작업의 속도를 향상시키기 위해 많은 관심을 받고 있는 분산 병행 프레임워크 스파크는 하둡과 달리 RDD라는 추상화 객체 개념을 사용하여 대용량의 데이터를 메모리 상에서 처리 가능한 환경을 제공한다. 스파크는 다양한 기계학습을 위한 라이브러리인 Mllib을 제공하고 있으나 연속적 데이터만 처리 가능한 k-means만 포함되어 있어 범주적 데이터 처리가 불가능한 한계가 있다. 따라서 본 논문에서는 스파크 환경에서 범주적 데이터 클러스터링을 위한 k-Modes 알고리즘을 위한 RDD 설계하고 효과적으로 동작할 수 있는 알고리즘을 구현하였다. 실험을 통해 제안한 알고리즘이 스파크 환경에서 선형적으로 증가한다는 것을 보였다.

• 비교문화연구
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• 제27권
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• pp.415-434
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• 2012

The Hanja used in Korean are traditional Chinese characters, but what Chinese people use now is simplified characters. So, there are differences in pronunciation and meaning between the characters used by Korean and Chinese. More than 70% of the Korean language vocabulary derived from or were influenced by hanja. For the inheritance and development of traditional culture,and for the communication among countries of the Chinese characters cultural circle in Northeast Asia, should we build up an authentic Chinese education system. But the government hasn't pay much attention to this work, and the government's policy can't implement the efficient education. Consequently, in these days, there are more and more Korean people who are functionally illiterate in Chinese. Recently, proficiency tests of Chinese characters are expected to promote the development of Chinese education. But, most Koreans' motives for Chinese study are usually to pass the college entrance exam or to compete for jobs. However, after passing the test, the motive for studying gradually fade away. It is the basic problem faced by Korean Chinese character education. Since the 1950s, various character education methods have been studied in China, the research results were appliedin their textbooks and other materials. Therefore, a well-organized and efficient learning-by-step education system was built up. At present, China's literacy education in the textbooks utilizes a range of methods including revisional centralized and distributed. Unfortunately, there is still one shortcoming worthy of concerns: how to solve the problems due to the simplification of traditional Chinese characters? Is it possible to revive traditional Chinese characters? Before adopting the results of research on China's literacy education and applying them to our character education, we should consider our specific situation carefully. Adopting the research results with cautious review and objective criticism should have a positive impact on Korean Chinese character education.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2019년도 학술발표회
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• pp.160-160
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• 2019

Water is a limited source that needs to be properly managed and distributed to the ever-growing population of the world. Rapid urbanization and development have increased the overall water demand of the world drastically. However, there is loss of billions of liters of water every year due to leakages in water distribution systems. Such water loss means significant financial loss for the utilities as well. World bank estimates a loss of $14 billion annually from wasted water. To address these issues and for the development of efficient and reliable leakage management techniques, high efforts have been made by the researchers and engineers. Over the past decade, various techniques and technologies have been developed for leakage management and leak detection. These include ideas such as pressure management in water distribution networks, use of Advanced Metering Infrastructure, use of machine learning algorithms, etc. For leakage detection, techniques such as acoustic technique, and in recent yeats transient test-based techniques have become popular. Smart Water Grid uses two-way real time network monitoring by utilizing sensors and devices in the water distribution system. Hence, valuable real time data of the water distribution network can be collected. Best results and outcomes may be produced by proper utilization of the collected data in unison with advanced detection and management techniques. Long term reduction in Non Revenue Water can be achieved by detecting, localizing and repairing leakages as quickly and as efficiently as possible. However, there are still numerous challenges to be met and future research works to be conducted in this field.

• 한국가정과학회지
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• 제6권2호
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• pp.1-12
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• 2003

This study is designed to analyse the difference between consciousness and behaviors for environmental preservation dependant on independent variables and to identify factors that affect the behaviors of environmental preservation. For this study, a questionnaire that included measurements of environmental preservation consciousness and behaviors was produced as a studying tool. Targets were 520 boy and girl students in the second grade of two high schools in Gwangju and three high schools in small districts of Chonnam Province and 482 questionnaires were distributed for the analysis. The data collected was analysed using SAS Program Package to obtain frequency, percentage, standard deviation, and correlation and T-Test One-way ANOVA, Duncan's M411ip1e Range Test, Multiple Regression were performed. The results of the analyses are as follows : 1. Overall, environmental preservation consciousness is higher than preservation behaviors. Interest in air pollution is the highest in both environmental preservation consciousness and behaviors and it is low in recycling. 2. The environmental preservation consciousness has a significant difference dependant on sex, regions, order of birth, educational background of parents and income level. the performing degree of environmental education, consciousness about kinds of environmental preservation, and whether the learning of theory and practice of environmental education is performed. 3. The environmental preservation behaviors has a significant difference dependant on regions, educational background of mother, mother's job, income level, acquiring of information, performing degree of environmental education and consciousness of kinds of environmental education. 4. Variables that affect environmental preservation behavior are environmental preservation consciousness, acquiring information, performing degree of environmental education and awareness of environmental preservation. Their power of explanation is 15%.