• Journal of Family Resource Management and Policy Review
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• v.1 no.1
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• pp.117-129
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• 1997

This study explored a terminal values of home economics students at Chonnam national university in Korea. And the terminal values of them were compared with those of USA and Japan. Through this, it make to explain the similarities and differences in terminal values among 3 nations. 175 students were adapted as data in Korea. Data of USA and Japan were obtained from Holyoak, Sawai, and Rauniyar(1993). The data were analyzed by frequency, percentage, means, one-way ANOVA, Duncan-test. The results showed significant similarities and differences in terminal values among 3 groups.

• The Korean Journal of Food And Nutrition
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• v.8 no.2
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• pp.93-104
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• 1995

Effect of frozen storage(0, 15, 30, 40 days, -18$^{\circ}C$), cooking methods(frying, microwaving) and reheating on lipid oxidation in chicken meats were evaluated by measuring thiobarbituric acid value (TBA value) and by measuring fluorescence value. TBA values were increased by storage days and were higher in leg meats than breast meats. According to cooking method, TBA values were higher in frying chicken meats. The fluorescence values were also increased by storage days and were higher in breast meats than leg meats.

• Journal of the Korea Society of Computer and Information
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• v.20 no.12
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• pp.169-174
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• 2015

Permutation p-values are provided for the agreement measures for multivariate interval data among many raters. Three agreement measures, Berry and Mielke's measure, Janson and Olsson's measure, and Um's measure are described and compared. Exact and resampling permutation methods are utilized to compute p-values and empirical quantile limits for three measures. Comparisons of p-values demonstrate that resampling permutation methods provide close approximations to exact p-values, and Berry and Mielke's measure and Um's measure show similar performance in terms of measuring agreement.

• Journal of Families and Better Life
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• v.15 no.4
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• pp.355-368
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• 1997

This study explored the instrumental values of homemakers by object family living and other social living. Homemakers' instrumental values on family living were compared with those on other social living. Through this it make to explain differences in instrumental values on 2 objects. 650 homemakers were adapted as data. The data were analyzed by frequency percentage means one-way ANOVA duncan-test and paired T-test The results showed significant differences in instrumental values by objects.

• Journal of the Korean Mathematical Society
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• v.44 no.6
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• pp.1243-1254
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• 2007

In this paper, we study the mean values of the homogeneous Dedekind sums and Cochrane sums in short intervals $[1,\;\frac{p}{3}]\;and\;[1,\;\frac{p}{4}]$, and give some asymptotic formulae by using the mean values of the Dirichlet L-functions.

• Journal of the Korean association of regional geographers
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• v.2 no.2
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• pp.159-171
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• 1996

The aim of this study is which factors affect the commercial land values and how they act upon them through distribution of commercial land values by multiple regression analysis in Gwangju city. The major findings of this study are as follows: (1) The changes of commercial land values distribution in $1989{\sim}1996$, We see that the commercial area of higher land values extends following the main arterial road. This is related to urbanization in urban fringe while the decline of commercial land values occurs in city center with long history of commercial region. This is due to unsuitableness in rapid changes of commercial environment because of fragmented lots, old buildings. traffic congestion etc. (2) The regions where commercial land values greatly rose are the west in constructed the new planning city center of Sangmu-dong. and the south west in which is related to the extension of high density apartment and the location of big discount stores. (3) Through the changes in commercial land values distribution map. and road map, topographical map, we know that commercial land values is related to various factors; namely, distance from CBD, convenient traffic, reputation of commercial district, condition of a road, size of supplementary, a degree of commercial land use etc. (4) From the above related factor, six variables are extracted by operational definition. That is the spatial distance from the city center, the walking distance to a stopping place, the road width, the amount of bus traffic, the amount of pedestrian, the number of the shop. (5) Data of seven variables are collected on the highest values point of each Dong. We applicate multiple regression analysis with commercial land values as a dependent variable, extracted six variables as independent variables. (6) As a result of multiple regression on the determinants of commercial land values, the variables which is greatly related to commercial land values are the amount of pedestrain, the spatial distance from city center. We identify that two variables explain variance of the commercial land values by 65%. (7) In order to make clear about not explained 35%. we carry out analysis of residual. In consequence, we see small estimate in downtown area and large estimate in urban fringe. This feature is due to simple core structure of Gwangju city and limits of this regression model.

• Korean journal of food and cookery science
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• v.25 no.2
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• pp.150-159
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• 2009

The purpose of this research was to improve the quality of Sulgidduk by additions of green tea or rosemary powder to enhance its functional properties and antimicrobial effects. The green tea or rosemary powders were added to the Sulgidduk at different levels (1 or 3%), and color values, textural characteristics, sensory qualities, pH values, and acetic acid values were evaluated. With higher amounts of green tea or rosemary powder, the L-values of samples decreased and a-and b-values increased. Texture profile analyses indicated that hardness was significantly different among all the samples. The sensory evaluation results showed that the 1% addition of green tea or rosemary powder did not cause significant differences in overall acceptability, flavor, or taste. During storage, pH values decreased in all groups and the control group showed the lowest value. Acetic acid values increased during storage and the control group showed the highest value in the last stage of storage. Finally, the L- and a-values of samples did not change significantly during storage.

• Journal of the Korean Society of Safety
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• v.21 no.3 s.75
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• pp.137-142
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• 2006

Quantification of error possibility, in an HRA process, should be performed so that the result of the qualitative analysis can be utilized in other areas in conjunction with overall safety estimation results. And also, the quantification is an essential process to analyze the error possibility in detail and to obtain countermeasures for the errors through screening procedures. In previous studies for the quantification of error possibility, nominal values were assigned by the experts' judgements and utilized as corresponding probabilities. The values assigned by experts' experiences and judgements, however, require verifications on their reliability. In this study, the validity of new error possibility values in new MCR design was verified by using the Onisawa's model which utilizes fuzzy linguistic values to estimate human error probabilities. With the model of error probabilities are represented as analyst's estimations and natural language expression instead of numerical values. As results, the experts' estimation values about error probabilities are well agreed to the existing error probability estimation model. Thus, it was concluded that the occurrence probabilities of errors derived from the human error analysis process can be assessed by nominal values suggested in the previous studies. It is also expected that our analysis method can supplement the conventional HRA method because the nominal values are based on the consideration of various influencing factors such as PSFs.

• Magazine of the Korean Society of Agricultural Engineers
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• v.38 no.4
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• pp.89-98
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• 1996

This study was conducted to evaluate the relationships between the geotechnical properties and the CBR values of the subgrade materials used in the rural roal construction. A total of 77 Soil samples was investigated and tested from 45 agricultural and industrial sites in Kyungpook Province. The results obtained are as follows : 1. The maximum dry densities of the coarse grained soils are larger than those of the fine grained soils. The optimum moisture contents of the coarse grained soils are smaller than those of the fine grained scils. 2. The mean values of the medified CBR values of the soils classified by the USCS, are decreased in the order of GP-GM, SW-SM, GM, SC, SP-SM, ML, CL-ML. And, those classified by the AASHTO are decreased in the order of A-i-a, A-i-b, A-2-4, A-3, A-4, A-6, A-7-6. 3. As passing percentage of No.200 sieve is increased, the CBR Value of soils is decreased gradually. 4. As the optimum moisture contents of the soil is increased, the CBR values is decresed the maximum dry density of the soils increased, the CBR values increased. 5. The CBR values are decreased as Group-lndex(GI) are increased. And Activity(A) is showed no relation with the CBR values. 6. The relation ships between the modified CBR value and standand proctor compaction CBR value at 95% compaction ratio can he expressed as the following equation : Y(CERmod)= 2.3638 + 0.8922X(CBR25).

• Journal of the Korea Society of Computer and Information
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• v.25 no.7
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• pp.175-182
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• 2020

Fisher's classical method for combining independent p-values from continuous distributions is widely used but it is known to be inadequate for combining p-values from discrete probability distributions. Instead, the discrete analog of Fisher's classical method is used as an alternative for combining p-values from discrete distributions. In this paper, firstly we obtain p-values from discrete probability distributions associated with multi-sample location test data (Fisher-Pitman test and Kruskall-Wallis test data) by permutation method, and secondly combine the permutaion p-values by the discrete analog of Fisher's classical method. And we finally compare the combined p-values from both the discrete analog of Fisher's classical method and Fisher's classical method.