• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.609-614
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• 2018

This study was conducted to investigate the effects of turmeric powder on jeung-pyun. Turmeric jeung-pyun containing 0%, 0.5%, 1%, 1.5%, and 2% turmeric powder was prepared and the moisture, pH, sugar, color, texture, DPPH and sensory properties of the samples were measured. Moisture contents of jeung-pyun were 51.26~51.99% and there were significant differences among the samples(p<0.001). The L-values were significantly decreased with increasing turmeric powder content. The b-value was low in the control and there were significant differences among the samples(p<0.05). Texture profile analysis showed that there were no significant differences among the groups in hardness, adhesiveness, springiness, cohesiveness, gumminess, and chewiness. The hardness was the lowest in the control group and increased with increasing turmeric powder content. The antioxidant activities as measured by DPPH increased with increasing turmeric powder content (p<0.001). In the sensory evaluation, 1% addition of turmeric powder showed the highest preference in terms of color, taste, flavor, texture and overall preference(p<0.001). As determined by this study, the addition of 1% turmeric powder was the most favorable method for making use of turmeric powder in the production of jueng-pyun.

• Journal of Service Research and Studies
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• v.3 no.2
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• pp.53-60
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• 2013

Datamining from the large data in the form of various techniques for obtaining information have been developed. In recent years one of the most sought areas of pattern recognition and machine learning method is created with most of existing learning algorithms based on categorical attributes to a rule or decision model. However, the real-world data, it may consist of numeric attributes in many cases. In addition it contains attributes with numerical values to the normal categorical attribute. In this case, therefore, it is required processes in order to use the data to learn an appropriate value for the type attribute. In this paper, the domain of the numeric attributes are divided into several segments using learning algorithm techniques of discritization. It is described Clustering with other data mining techniques. Large amount of first cluster with characteristics is similar records from the database into smaller groups that split multiple given finite patterns in the pattern space. It is close to each other of a set of patterns that together make up a bunch. Among the set without specifying a particular category in a given data by extracting a pattern. It will be described similar grouping of data clustering technique to classify the data.

• Management & Information Systems Review
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• v.31 no.2
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• pp.115-142
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• 2012

This study aimed to analyze the relative influence of related variables on the university students' civic consciousness. The study sorted out the data for 1,200 university students from a larger data set collected by Son et al.(2009), and analyzed the data by a hierarchical regression analysis method. The study showed the major results in four aspects. First, personal characteristics and home environment variables had mostly no influence on the students' civic consciousness. Second, on the sub categories of the students' civic consciousness, almost no influence was found in case of the home environment variables on democratic constitution and participation-practice, and in case of the school environment variables on value and attitude. Third, among the home and school variables, parents' attitude(${\beta}$=.228) and professors(${\beta}$=.162) had positive influences on the students' civic consciousness. The results suggest that parents and professors should be the two principal axises in the cultivating process of the students' civic consciousness. Third, on the democratic participation and practice no positive influences were found in any of the social environment variables. Among the social environment variables, politicians(${\beta}$=-.238) and corporations(${\beta}$=-.097) had rather negative influences on the democratic participation and practice. These results raised the question on how school education and social political systems are operated in the democratic manners. Fourth, the study recommends that local government would establish the civic education centers, develop various civic education programs, and provide each school with the programs. The study also recommends that each university would democratize in all the school affairs, and actively implement the civic education for university students as a specialized project.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.36 no.2
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• pp.187-194
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• 2012

The strength of particle-reinforced metal matrix composites is, in general, known to be increased by the geometrically necessary dislocations punched around a particle that form during cooling after consolidation because of coefficient of thermal expansion (CTE) mismatch between the particle and the matrix. An additional strength increase may also be observed, since another type of geometrically necessary dislocation can be formed during extensive deformation as a result of the strain gradient plasticity due to the elastic-plastic mismatch between the particle and the matrix. In this paper, the magnitudes of these two types of dislocations are calculated based on the dislocation plasticity. The dislocations are then converted to the respective strengths and allocated hierarchically to the matrix around the particle in the axisymmetric finite-element unit cell model. The proposed method is shown to be very effective by performing finite-element strength analysis of $SiC_p$/Al2124-T4 composites that included ductile failure in the matrix and particlematrix decohesion. The predicted results for different particle sizes and volume fractions show that the length scale effect of the particle size obviously affects the strength and failure behavior of the particle-reinforced metal matrix composites.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.5
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• pp.2363-2367
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• 2012

Objective: To investigate the association between the connexin 37 C1019T polymorphism and Helicobacter pylori infection in patients with gastric cancer. Methods: 388 patients with gastric cancer (GC), 204 with chronic superficial gastritis (CSG) were studied. H. pylori was detected by gastric mucosal biopsies biopsy dyeing method. Connexin 37 gene polymorphism 1019 site genotypes were determined by gene sequencing technology. Genotypes and alleles frequencies were compared. Results: (1) Connexin37 gene 1019 site distribution frequency (CC type, TC type, TT type) in the CSG group was 18.1%, 45.1% and 36.8%; in the stomach cancer group it was 35.1%, 45.9% and 19.%, conforming to the Hardy-Weinberg euilibrium. (2) In comparison with CSG group, the frequency of Connexin37 C allele was higher in the gastric cancer group (58.0% vs 40.7%, OR = 2.01, 95%CI = 1.58-2.57, P < 0.01). The prevalence of gastric cancer risk was significantly increased in the carriers of C allele (CC+TC) than in TT homozygote (OR = 2.47, 5%CI = 1.68- 3.610. (3) Gastric cancer patients complicated with Hp infection 211 cases, gastric cancer group of the male patients with HP positive patients with 187 cases, 40 cases of female patients with negative patients, 24 cases were HP positive, negative in 137 cases, control group male patients, 28 cases were Hp positive, negative in 95 patients, female patients with Hp positive 6 cases, 75 cases were negative. On hierarchical analysis, the male group OR value was 15.9 (95%CI to 9.22-27.3), and the female OR was 2.19 (95%CI 0.88-5.59), indicating a greater contribution in males (P <0.01). After elimination of gender effects, positive HP and gastric cancer were closely related (OR 8.82, 95% CI: 5.45-14.3). (4) The distribution frequency of C allele in patients with Hp infection was much higher than that in Hp negative cases in the GC group (64.5% vs 47.0%, OR = 2.05, 95%CI = 1.54-2.74, P < 0.01). Compared with TT homozygotes, (CC+TC) genotype prevalence of gastric cancer risk increased significantly (OR = 2.96, 5%CI = 1.76-2.99 ). Conclusion: The T allele in the connexin37 gene might not only be associated with gastric cancer but also with H. pylori infection.

• The Journal of Society for e-Business Studies
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• v.21 no.3
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• pp.79-99
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• 2016

Supply network of automobile part is addressed with the e-invoices generated at real time. Automobile is composed of 8 modules. Firms which produce these modules are defined as the first outsourcing firm. Brake is the part of power control module and so, brake manufacturing firm is called the second outsourcing firm. In this paper, the third supply networks of brake manufacturing firms is analyzed with e-invoices and social network method. At the node-level, the third outsourcing firms are classified into 3 categories, interator, allocator and hub with respect to their role at the ego-network of each brake manufacturing firm. At the network level, A2, one of 3 brake manufacturing firms have more outsourcing firms and bigger centrality than the other brake manufacturing firms. Intre-firms trade patterns are, also, analyzed by using the degree of trade dedication with respect to the modes of business. It is shown that trade pattern of retail, commodity brokerage firm, rubber and plastic manufacturing firm are hierarchical trade because their degree of trade dedication is almost near to 1.

• Journal of Gifted/Talented Education
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• v.23 no.1
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• pp.67-87
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• 2013

This study explores high school gifted students' perception of cheating in school using the concept mapping method. The map shows the gifted students' concept structure and the different perception between gifted and non-gifted students on cheating. For the purpose, 63 high school gifted students participated at the brainstorming stage to gather the possible related statements. Finally, 64 statements were confirmed and these were divided and evaluated by 13 focus group students. Then, they were analyzed by multidimensional scaling and processed by hierarchical cluster analysis. The results compiled from this procedure show that high school gifted students' perception of cheating is classified into five clusters: "unacceptable cheating behaviors of friends", "an inseparable relation among social structure, giftedness and cheating", "conflict, coping skills, and tolerance related to the cheating", "immorality in one's inner person" and "the judgement based on morality and social justice". In addition, 150 gifted students and 160 non-gifted students checked the degree of agreement to each statement with the likert 6 points scale and the result showed that there was no significant difference in two clusters, "unacceptable cheating behaviors of friends" and "the judgement based on morality and justice", while it turned out that there were significant perception gaps in three clusters, "inseparable relation among social structure, giftedness and cheating", "conflict, coping skills, and tolerance related to the cheating" and "immorality in one's inner person". Implications of the study related to the gifted students' moral behaviors were discussed in depth.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.46 no.4
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• pp.124-131
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• 2009

A reliable detection of regions in radiography is one of the most important task before the evaluation of defects on welded joints. The extracted features is to be classified into distinctive clusters for each segmented region. But conventional segmentation techniques give unsatisfactory results for this task due to the spatial superposition of intensity and low signal-to-ratio(SNR) in radiographic images. The usage of global or local processes not only provide the necessary noise resistance but also fail in classification of regions. In this paper, we presents an appropriate approach for segmentation of region-based indications in industrial Computed Radiography(CR) images. The geometric differences between welded and non-welded area which is generated on radiography as the representative regions(background, thickness, middle and welded region in steel tube image) have constructed the hierarchical structure. Although this structure is contaminated by noise, the scheme between regions can be selected by the help of local clustering based on distinctive geometric property of each region. Because of the geometric nature of the considered region and so that the region is selected layer by layer, and that the real class represents the boundary between regions, the vertical and horizontal clustering process in each layer must be judicious. In order to show the effectiveness of this approach, a comparative experiment of various segmentation method is performed on industrial steel tube CR images.

• Journal of Gifted/Talented Education
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• v.22 no.4
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• pp.893-916
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• 2012

This research investigates gifted students' mothers' rearing stress based on the concept mapping method. For this, 12 gifted students' mothers solicited, gathered and analyzed related statements, and then did multidimensional scaling and hierarchical cluster analysis. The stress value was .273 which was appropriate for the two level concept mapping study. In addition 101 mothers of gifted students rated for the rearing stresses they experience. Results were as follows. First, 79 concrete statements were solicited and as a result of concept mapping were categorized as 'burden and conflict as mothers of the gifted', 'possible negative characteristics due to the giftedness', and 'self-esteem and pressure by the title of the gifted'. Especially following items showed relatively high average: worrying about how to give the child a specific help for his/her career(M=4.65); worrying that she might be intervening too much in their child's behaviors(M=4.60); getting pressured supporting the child to get involved in the gifted education system continually(M=4.46); worrying if her child is not developing his/her talent enough due to the lack of time and money(M=4.44); being concerned that her high expectations might be putting her child under too much pressure (M=4.43). Implications of the study related to gifted education practices were discussed.

• Korean Journal of Social Welfare Studies
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• no.39
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• pp.395-423
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• 2008

This study investigated population characteristics that influencing treatment service use of people who are voluntarily using drug dependency treatment services by using logistic and hierarchical regression analysis. The research model of the current study was driven by the framework of the 'the Behavioral Model of Health Services Use(the Andersen model)' that has been broadly applied to study on health behavior. This study used data from a sample group of 80 adults by using purposive sampling. This study found that some predisposing factors, enabling factors and need factors have direct effects on service use. In detail, individuals who graduated from high school use drug dependency treatment utilities more than those who did not. Further, individuals who were given more support from family, peers, or others, use the treatment utilities more frequently and were more willing to use the utilities continuously. Furthermore, the greater the perceived need felt by the dependent, the greater the tendency to enter hospitals or shelters. The important implications of this study for social work practice and social policy can be summarized as follows: first, this study supports the idea that intervention for drug dependents in Korea should be focused on environment resources rather than population characteristics; and government must support drug dependent treatment systems; the present study was the first to investigate Korean drug dependents through taking a more positive view, as well as the first to apply 'the Behavioral Model of Health Services Use', and as such represents an example of how studies could be productively conducted in the future. Despite these implications, there remain some limitations in this study. These include the following: limitation in generalizability of the results; the cross-sectional nature of the study design; survey research through the questionnaire method; using foreign scales; and the difficulty of classifying treatment settings.