• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.2
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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.

• Journal of the Korean Dietetic Association
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• v.14 no.3
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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.

• Journal of Digital Convergence
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• v.12 no.10
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• pp.415-423
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• 2014

This study aims to understand the difference in department satisfaction, career decision types and career preparatory behavior of health college students, and the relationship between variables and their effects on career preparatory behavior, and presents basic data for development of career guidance programs. The subjects of this study were 450 college students studying emergency rescue, physical therapy, public health administration and dental hygiene at three-year colleges located in B and G cities. They were selected through convenience sampling. The period of the study was from November 12 to 15, 2013. of 450 copies of the questionnaire distributed, a total of 418 copies were used in the final analysis. For data analysis, SPSS 14.0 for Windows was used. As a result, there were correlations between variables, the largest effect department satisfaction had on career preparatory behavior was found in aptitude learning followed by personal relationships and career job. The reasonable type of career decision types had a positive effect on career preparatory behavior while dependent and instinctive types had a negative effect on career preparatory behavior.

• Journal of Korean Elementary Science Education
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• v.24 no.2
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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.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.10
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• pp.2180-2188
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• 2009

This paper is study on real-time hand gesture recognition system based on vision for intelligent robot control. We are proposed a recognition system using PCA and BP algorithm. Recognition of hand gestures consists of two steps which are preprocessing step using PCA algorithm and classification step using BP algorithm. The PCA algorithm is a technique used to reduce multidimensional data sets to lower dimensions for effective analysis. In our simulation, the PCA is applied to calculate feature projection vectors for the image of a given hand. The BP algorithm is capable of doing parallel distributed processing and expedite processing since it take parallel structure. The BP algorithm recognized in real time hand gestures by self learning of trained eigen hand gesture. The proposed PCA and BP algorithm show improvement on the recognition compared to PCA algorithm.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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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.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.10
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• pp.487-492
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• 2017

Clustering is a technique which is used to measure similarities between data in big data analysis and data mining field. Among various clustering methods, k-Modes algorithm is representatively used for categorical data. To increase the performance of iterative-centric tasks such as k-Modes, a distributed and concurrent framework Spark has been received great attention recently because it overcomes the limitation of Hadoop. Spark provides an environment that can process large amount of data in main memory using the concept of abstract objects called RDD. Spark provides Mllib, a dedicated library for machine learning, but Mllib only includes k-means that can process only continuous data, so there is a limitation that categorical data processing is impossible. In this paper, we design RDD for k-Modes algorithm for categorical data clustering in spark environment and implement an algorithm that can operate effectively. Experiments show that the proposed algorithm increases linearly in the spark environment.

• Cross-Cultural Studies
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• v.27
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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.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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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.

• Korean Journal of Human Ecology
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• v.6 no.2
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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%.