• The Journal of the Korea Contents Association
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• v.20 no.8
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• pp.232-250
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• 2020

The purpose of this study is to identify the context and pattern of Korea's self-sufficiency program based on the experiences of self-sufficiency program practitioner. To this end, this study applied the context-pattern analysis method, which was known as one of the qualitative research approaches, to provide proper and effective evaluations of self-sufficiency program. The analysis shows that the context of the self-sufficiency program consists of such sub-contextual components as 'market economy', 'social service system', 'self-sufficiency system', 'self-sufficiency program', 'self-sufficiency program participant', 'procedural experiences of the program', 'outcomes of self-sufficiency program', and 'meaning of the self-sufficiency program'. Furthermore, such patterns as 'decreased vitality of self-sufficiency system', 'service flow', 'journey to the self-sufficiency', and 'sequences to small success', were also presented. Based on these findings, this study suggests policy and practice implications, and subsequent related research topics.

• Journal of the Korean Society of Earth Science Education
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• v.16 no.1
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• pp.87-102
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• 2023

The purpose of this study is to propose an analytical framework for the essential contents that must be included in a climate change education program for elementary school students based on community issues, which can be used by citizen instructors in the community. To develop the analytical framework, 24 climate environmental education specialists were consulted seven times. The content validity of the final analysis framework was statistically verified using I-CVI and S-CVI coefficients, and the reliability of the expert panel was verified using Fleiss' Kappa coefficient. The final analysis framework consists of three analytical areas (program objectives, program content, program evaluation), seven analysis items, seven analysis indicators, and detailed explanations of the analysis indicators. In particular, by adding detailed explanations for the analysis indicators, the content validity and reliability were increased, and the objective nature of the analysis framework was firmly established. It is expected that the proposed analytical framework for a community-based climate change education program for elementary school students in this study will contribute to the systematic development of the program by citizen instructors.

• International Journal of Contents
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• v.15 no.1
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• pp.39-51
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• 2019

Spontaneous speech provides rich information defining the linguistic characteristics of individuals. As such, computational analysis of speech would enhance the efficiency involved in evaluating patients' speech. This study aims to provide a method to differentiate the persons with and without aphasia based on language usage. Ten aphasic patients and their counterpart normal controls participated, and they were all tasked to describe a set of given words. Their utterances were linguistically processed and compared to each other. Computational analyses from PCA (Principle Component Analysis) to machine learning were conducted to select the relevant linguistic features, and consequently to classify the two groups based on the features selected. It was found that functional words, not content words, were the main differentiator of the two groups. The most viable discriminators were demonstratives, function words, sentence final endings, and postpositions. The machine learning classification model was found to be quite accurate (90%), and to impressively be stable. This study is noteworthy as it is the first attempt that uses computational analysis to characterize the word usage patterns in Korean aphasic patients, thereby discriminating from the normal group.

• KSBB Journal
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• v.16 no.6
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• pp.538-546
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• 2001

An integrated data analysis program for DNA chip containing normalization, FDM analysis, various kinds of clustering methods, PCA, and SVD was applied to analyze combined yeast cell cycle data. This paper includes both comparisons of some clustering algorithms such as K-means, SOM and furry c-means and their results. For further analysis, clustering results from the integrated analysis program was used for function assignments to each cluster and for motif analysis. These results show an integrated analysis view on DNA chip data.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.5
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• pp.957-964
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• 2017

In this study, It developed a program to carry out the training courses for NCS based medical information management tasks and to can understand the practical working knowledge of learners. This program is an educational program that can generate medical information by analyzing data of medical records after generating and storing data of medical records. Because the contents of the medical records vary and there are quantitative differences in the medical records, the contents of the medical records can be summarized and stored in the discharge analysis program for the standard of educational data. The medical terminology DB, medical terminology related DB, medical care related DB by the NCS ability unit element can be constructed and managed using the program. The following are the contents that can be learned through operation of the program. first, it's can understand Medical information DB management regulations through understanding sturucture of database. Second, it can understand the structure and function of the diagnostic code and medical practice code that are input to the discharge analysis program. The diagnostic codes and medical practice codes entered in the discharge analysis program can be searched and analyzed by each fields. Third, It can be advance medical information management ability by inputting and extracting data and generating medical information. In this study, It developed program that Students can be obtained Knowledge of medical information management and improved management competency by generate and analyze medical record data using discharge analysis program.

• Corrosion Science and Technology
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• v.12 no.2
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• pp.79-84
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• 2013

In general, pipelines at nuclear power plants are affected by various types of degradation mechanisms and may be ruptured after gradually thinning. FAC (Flow-Accelerated Corrosion) is typical aging mechanism affecting the secondary side piping system. In Korea nuclear power plants, CHECWORKS program have been used for management of wall thinning damages. However, sometimes, CHECWORKS program shows wrong results at the stage of NFA (Network Flow Analysis) in case of complex pipelines. This paper describes the calculation results of pressure drop in a complex pipeline and single line by using the CHECWORKS program and the analysis results are compared with those of engineering calculation results including errors between them.

• Journal of the Korean Society of Safety
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• v.21 no.4 s.76
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• pp.95-101
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• 2006

It is well known that the thermal load in PSC(prestressed concrete) box-girder bridge is the principal cause of detrimental crack. The longitudinal stress caused by the lateral stress from the temperature gradient in slab of PSC box-girder bridge has a considerable influence on the durability and economy of bridge structures. As the basic study for the rational consideration of thermal load and the derivation of design guide, the inverse thermal analysis program for PSC box-girder bridges using field measurement data is developed. In this paper, thermal analyses are performed using field monitoring data for the sample PSC box-girder bridge. It is proposed that the link between monitoring program and the inverse analysis program is available.

• Proceedings of the KIEE Conference
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• 2005.05a
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• pp.54-56
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• 2005

Analysis of the voice and its corresponding studies are examined from the recording of the voice through microphone and various calculation processes of the signals by using computer. Voice analyser include data acquisition and analyzing program. Since oath program uses different voice signal processing algorithm, thorough understanding of the operation is essential. In this study, analysis result of patient voice were compared by using four different voice analysis programs such as MDVP, Praat, TF32, and the program developed in this study. Pitch, jitter and shimmer were selected as comparison analysis factors. As a result, pitch, jitter and shimmer showed different result since each program uses different pitch computation algorithm.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.12 no.20
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• pp.1-24
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• 1989

This paper takes aim at the reliability evaluation by application of Fault Tree Analysis and its computerization. FTA is one of the methods for evaluation of system reliability and safety analysis. The important characteristic of this paper is that computer program is written in the package program(dBaseIII+) by 16Bit/AT personal computer. The program consists of three program segments. (1) The minimal cut sets of the system fault tree are obtained by means of "Fault tree reduction algorithm" (2) The minimal path sets are obtained by inversion of the minimal cut sets determined from fault tree (3) The importance of the basic events which are presented in the minimal cut sets is obtained by means of structural importance analysis. In this paper, a Fault Tree Analysis is applied to a BAG FILTER which is a kind of dust collector.collector.

• Journal of the Speleological Society of Korea
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• v.15 no.16
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• pp.38-60
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• 1987

There are BOD(Biochemical Oxygen Demand) and COD(Chemical Oxygen Demand) in the date of the water pollution in the pollution analysis, BOD and COD analysis the result of the analysis. The computer developed the program in the analysis. Went by BOD, the relation conversion equation type of COD, the control chart, the standard deviation, and the coefficient of correlation etc.. for the purpose of the development of the program. There is a purpose by which it is what coefficient of correlation in the development of this program or not if the value (X and Y) of unknow is understood. In the future, if this program is applied the utilization to not only the data is analyzed about the water pollution but also a lot of fields is proposed.