• Culinary science and hospitality research
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• v.21 no.4
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• pp.121-131
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• 2015

This study examined the factors that affect the relationship among career selection type, class participation, and career preparation behavior for university students who major in food service. A total of 350 questionnaires were distributed to students, of which 320 were deemed suitable for analysis after the removal of 30 unusable responses. In order to perform statistical analyses required in the study, SPSS 18.0 Statistical Program was employed for frequency analysis, factor analysis, reliability analysis, correlations, and regression analysis. The results of the exploratory factor analysis showed that two factors regarding career selection type were extracted from all measurements with a KMO of 0.754 and a total cumulative variance of 64.555%, with regard to class participation, three factors [I found only 1 factor in the paper; there were 3 variables] were extracted with a total cumulative variance of 71.1% and a KMO score of 0.702. One factor for career preparation behavior was extracted that accounted for a total cumulative variance of 64.312% and a KMO score of 0.765. Based on the study's results, the main research hypothesis that identified the relationships that career selection type had with and between class participation and career preparation behavior was partially adopted.

• Culinary science and hospitality research
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• v.21 no.6
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• pp.331-340
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• 2015

This study examined the factors that affect the relationship among functional bakery purchase motivation, consumer attitudes, and purchase intention. A total of 230 questionnaires were distributed to the consumers, of which 210 were deemed suitable for analysis after the removal of 20 unusable responses. In order to perform statistical analyses required in current study, SPSS 18.0 statistical program was employed for frequency analysis, factor analysis, and reliability analysis, Correlations, regression analysis. The results of exploratory factor analysis showed that four factors regarding local specialties purchase motivation were extracted from all measurements with a KMO of 0.735 and a total cumulative variance of 65.759%, with regard to consumer attitudes, one factors were extracted with a total cumulative variance of 72.421% and a KMO score of 0.684. One factor for purchase intention was extracted that accounted for a total cumulative variance of 67.139% and a KMO score of 0.683. All factors were significant and the correlation between variables was significant as well. Thus, based on the results, the main research hypothesis that identifies the relationships purchase motivation between consumer attitudes and purchase intention were partially adopted.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.75-84
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• 2022

The efficiency of the regional fiscal policy implementation is based on the achievement of target criteria in the formation and distribution of own financial resources of local budgets, reducing their deficit and reducing dependence on transfers. It is also relevant to compare the development of financial autonomy of regions in the course of decentralisation of fiscal relations. The study consists in the cluster analysis of the effectiveness of fiscal policy implementation in the context of 24 regions and the capital city of Kyiv (except for temporarily occupied territories) under conditions of fiscal decentralisation. Clustering of the regions of Ukraine by 18 indicators of fiscal policy implementation efficiency was carried out using Ward's minimum variance method and k-means clustering algorithm. As a result, the regions of Ukraine are grouped into 5 homogeneous clusters. For each cluster measures were developed to increase own revenues and minimize dependence on official transfers to increase the level of financial autonomy of the regions. It has been proved that clustering algorithms are an effective tool in assessing the effectiveness of fiscal policy implementation at the regional level and stimulating further expansion of financial decentralisation of regions.

• Journal of Preventive Medicine and Public Health
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• v.18 no.1
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• pp.157-171
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• 1985

An attemption was made to estimate the effect of menopause on the mental health of climacteric women. The Minnesota Multiphasic Personality Inventory (MMPI) were questioned to 278 premenopausal women and 302 postmenopausal women. Data were analyzed by one-way analysis of variance in each variable of menopause, age, educational level, religion and partnership of husband, and two-way analysis of variance in two variables of menopause and one of other variables. The results were summarized as follows. 1. Menopause increased the scores of validity, psychopathic deviate, hypomania and paranoia scale, but conversely decreased the score of masculinity-femininity scale. 2. The older the climacteric women were, the lower scores of masculinity-femininity scale were observed. 3. The older the premenopausal women were, the higher scores of depression, hysteria, psychopathic deviate, psychasthenia and schizophrenia scale were observed, on the contrary, all scores of the postmenopausal women were decreased by the increment of their ages. 4. The higher the educational level of climacteric women were, the higher scores of correction and masculinity-femininity scale were observed, but the scores of hypochondriasis, hysteria, schizophrenia and social introversion scale were decreased by the increment of their educational level. 5. The scores of hypomania scale were higher in women of Buddhism than other religions. 6. The scores of validity, paranoia, psychasthenia, schizophrenia and social introversion scale were higher in widows than women with husband.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.24 no.5
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• pp.502-507
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• 2015

In this study, a microscale drilling process was conducted to evaluate the cutting characteristics of functionally graded materials. A mixture of M2 and Cu powders were formed and sintered to produce disk specimens of various compositions. Subsequently, a microscale hole was created in the specimen by using a desktop-size micro-machining system. By using design of experiments and analysis of variance, it was found that the M2-Cu composition, spindle speed, and the interactions between these two factors had significant effects on the magnitude of cutting forces. However, the influence of feed rate on the cutting force was negligible. A mathematical model was established to predict the cutting force under a wide range of process conditions, and the reliability of the model was confirmed experimentally. In addition, it was observed that increasing the wt% of Cu in an M2-Cu specimen increased the high-frequency amplitude of cutting forces.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.28 no.6
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• pp.799-806
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• 2004

This paper presents a scheme for finding an optimal combination of design parameters affecting on the handling performance of a large truck using design of experiments. The average of the sum of peak-to-peak roll angles at the first and second part of the double lane is used as an objective function for design of experiments. Six design parameters are selected from all possible parameters affecting on the handling performance. The table of orthogonal arrays is made by 27 times simulations. A computational model of a large truck is developed by MSC/NASTRAN and MSC/ADAMS, and verified the reliability of it with the results of vehicle tests performed in a double lane change course. It is used for the simulations. Analyses of variance and factor effect of the table of orthogonal arrays are performed. This paper proposes an optimal combination of those six design parameters for improving the handling performance of the large truck.

• Journal of Navigation and Port Research
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• v.35 no.2
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• pp.149-157
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• 2011

The objective of this study was to compare the attitude of merchant marine student of Thailand in 3 aspects; cognitive, affective and behavioral classified by institutes, domiciles, parent's occupation, parent's income per month, motivation and information receiving concerning mariner profession. The sample used in this study consisted of 867students in maritime institutes of Thailand. The instrument implemented in collecting data was a set of 30 five rating scale questionnaires. The statistical methods applied in analyzing the data were mean, standard deviation, t-test and one way analysis of variance and fisher's LSD. The results of this research shows that the attitude in vocational education of Thai merchant marine student was of the high in every aspect. Attitude for mariner profession of Thai merchant marine student in terms of different institutes had different in all aspects. In terms of different domiciles, it shows different attitude in affection and similar attitude in cognition and behavior. In terms of parent's occupation, it shows similar in all aspects. In terms of parent's income per month, it shows different attitude in cognition and affection and similar attitude in behavior. In terms of motivation, it shows similar in all aspects. In terms of information receiving concerning mariner profession, it shows different attitude in all aspects.

• KIEE International Transactions on Power Engineering
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• v.4A no.1
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• pp.33-41
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• 2004

Knowledge of partial discharge (PD) is important to accurately diagnose and predict the condition of insulation. The PD phenomenon is highly complex and seems to be random in its occurrence. This paper indicates the possible use of chaos theory for the recognition and distinction concerning PD signals. Chaos refers to a state where the predictive abilities of a systems future are lost and the system is rendered aperiodic. The analysis of PD using deterministic chaos comprises of the study of the basic system dynamics of the PD phenomenon. This involves the construction of the PD attractor in state space. The simulation results show that the variance of an orthogonal axis in an attractor of chaos theory increases according to the magnitude and the number of PDs. However, it is difficult to clearly identify the characteristics of the PDs. Thus, we calculated the magnitude on an orthogonal axis in an attractor using singular value decomposition (SVD) and principal component analysis (PCA) to extract the numerical characteristics. In this paper, we proposed the condition monitoring method for gas insulated switchgear (GIS) using SVD for efficient calculation of the variance. Thousands of simulations have proven the accuracy and effectiveness of the proposed algorithm.

• International Journal of Contents
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• v.3 no.1
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• pp.1-8
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• 2007

The distributions of the minimum correlated F-variable arises in many applied statistical problems including simultaneous analysis of variance (SANOVA), equality of variance, selection and ranking populations, and reliability analysis. In this paper, negative binomial sampling technique is employed to derive the distributions of the minimum of chi-square variables and hence the distributions of the minimum correlated F-variables. The work presented in this paper is divided in two parts. The first part is devoted to develop some combinatorial identities arised from the negative binomial sampling. These identities are constructed and justified to serve important purpose, when we deal with these distributions or their characteristics. Other important results including cumulants and moments of these distributions are also given in somewhat simple forms. Second, the distributions of minimum, chisquare variable and hence the distribution of the minimum correlated F-variables are then derived within the negative binomial sampling framework. Although, multinomial theory applied to order statistics and standard transformation techniques can be used to derive these distributions, the negative binomial sampling approach provides more information regarding the nature of the relationship between the sampling vehicle and the probability distributions of these functions of chi-square variables. We also provide an algorithm to compute the percentage points of the distributions. The computation methods we adopted are exact and no interpolations are involved.

• Korean Journal of Pharmacognosy
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• v.41 no.3
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• pp.161-165
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• 2010

A study was performed to assess the quality equivalence of commercially available Hwang-Ryun-Hae-Dok-Tang granules from various vendors in terms of the contents of characterizing compounds. 'Hwang-Ryun-Hae-Dok-Tang'(or 'Huanglian Jiedu Tang') is the complex medicinal herbal product which is composed of four different herbal drugs; Scutellariae Radix, Coptidis Rhizoma, Phellodendri Cortex and Gardeniae Fructus. Using a high performance liquid chromatography and direct analysis in real time mass spectrometer (DART-MS), five characterizing compounds such as baicalin, baicalein, berberine, palmatine, and geniposide were analyzed to compare the variance of the contents between the products from four different vendors. Although five characterizing compounds were all successfully detected from all the products, the contents of each compound were shown to have significant difference among vendors. For real time monitoring of characterizing compounds in medicinal herbal products, DART-MS can be successfully adopted as a powerful analytical tool.