• The Korean Journal of Food And Nutrition
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• v.15 no.2
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• pp.158-164
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• 2002

This study examined for the investigation the effect of honey on antibacterial activity. The experimental honey were used the domestics, or chestnut honey, multiflower honey, acassia honey, native honey and the foreign, or manuka honey, clover honey, canola honey, and the artificial honey, made with the diluted solution of each 12.5%, 25.0%, 50.0%. The result of compared the occasion of added-catalase with not added-catalase about the honey's antibacterial activity on Staphylococcus aureus by agar well diffusion assay were as follows. When the catalase was not added, manuka honey antibacterial activity was superior to chestnut honey's in the diluted honey of 12.5% and on the occasion of the diluted honey of 25.0%, it was approved in the order of manuka honey > chestnut honey > multiflower honey 〉 native honey > clover honey > acassia honey and the occasion of the diluted honey of 50.0%, it was approved in the order of manuka honey > chestnut honey > canola honey > native honey > multiflower honey > clover honey > acassia honey(p > 0.01). The clear zone representing inhibition of growth in diluted honey of 12.5, 25.0, 50.0 % with non-treat catalase ranged from 5.85 to 6.60, 4.26 to 8.27, 5.24 to 11.49 mm, respectively. When the catalase was added, antibacterial activity only showed in the manuka honey of 12.5% and on the occasion of the diluted honey of 25.0%, manuka honey's antibacterial activity was superior to chestnut honey (p > 0.01). On the occasion of the diluted honey of 50.0%, antibacterial activity was high in the order of manuka honey > chestnut honey > clover honey > canola honey > native honey(p > 0.01). The correlation was approved significantly among the manuka honey, chestnut honey, clover honey, canola honey and native honey.

• The monthly packaging world
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• s.260
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• pp.42-44
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• 2014

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.58 no.2
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• pp.221-226
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• 2009

In this paper, we analyzed form of flowing leakage current in electrical installation. Leakage current ($I_g$) is consisted of resistive leakage current($I_{gr}$), capacitive leakage current($I_{gc}$), and inductive leakage current($I_{gl}$). Resistive leakage current($I_{gr}$) is big occasion than capacitive leakage current($I_{gc}$) in system, Residual Current Protective Device(RCD) detects correctly leakage current. But,$I_{gc}$ is big occasion than $I_{gr}$, RCD is malfunctioned It is resistance to lead to electric fire in electrical device. We manufactured outlet that resistive leakage current detecting circuit is had. Manufactured outlet displayed performance exactly in leakage current of 5 mA Therefore, this product estimates that contribute on electric fire courtesy call.

• Communications for Statistical Applications and Methods
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• v.22 no.5
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• pp.445-462
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• 2015

This article deals with the problem of estimation of the population mean in presence of multi-auxiliary information in two occasion rotation sampling. A multivariate exponential ratio type estimator has been proposed to estimate population mean at current (second) occasion using information on p-additional auxiliary variates which are positively correlated to study variates. The theoretical properties of the proposed estimator are investigated along with the discussion of optimum replacement strategies. The worthiness of proposed estimator has been justified by comparing it to well-known recent estimators that exist in the literature of rotation sampling. Theoretical results are justified through empirical investigations and a detailed study has been done by taking different choices of the correlation coefficients. A simulation study has been conducted to show the practicability of the proposed estimator.

• Communications for Statistical Applications and Methods
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• v.26 no.2
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• pp.175-189
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• 2019

The problem of the estimation of quantitative sensitive variable using the item sum technique (IST) on successive occasions has been discussed. IST difference, IST regression, and IST general class of estimators have been proposed to estimate quantitative sensitive variable at the current occasion in two occasion successive sampling. The proposed new estimators have been elaborated under Trappmann et al. (Journal of Survey Statistics and Methodology, 2, 58-77, 2014) as well as Perri et al. (Biometrical Journal, 60, 155-173, 2018) allocation designs to allocate long list and short list samples of IST. The properties of all proposed estimators have been derived including optimum replacement policy. The proposed estimators have been mutually compared under the above mentioned allocation designs. The comparison has also been conducted with a direct method. Numerical applications through empirical as well as simplistic simulation has been used to show how the illustrated IST on successive occasions may venture in practical situations.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.7
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• pp.1046-1055
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• 2008

The purpose of this study is to investigate the effects of product variables(i.e., fashionability, brand fame) and situational variables(i.e., time constraint, usage occasion) on the internet browsing behavior (i.e., prepurchase search; ongoing search for products, stores, fashion trends, promotions, and post-purchasing information) for fashion products. This study developed hypothetical scenarios based on the factorial design of the two independent variables for the survey with a questionnaire. All items in the questionnaire were measured on a six-point scale. By convenience sampling and on-line survey, a total of 209 usable responses were used for further analyses. The results show as follows; firstly, respondents more intensively browse for information search on products, stores and fashion trends when the style of browsing products is trendy. Secondly, whether the fashion products have a famous brand name or not has a significant influence on browsing behavior for stores and fashion trends information search. Thirdly, time constraint is found to influence significantly on respondents' browsing for promotions information search. Lastly, occasion for product worn shows a significant influence on browsing behavior for stores and fashion trends information search. The managerial implications are provided based on findings.

• Journal of the Korean Society of Food Culture
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• v.11 no.3
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• pp.359-367
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• 1996

To study the dining-out behaviour of housewives, the frequency, food preference, expense for dining-out in social meeting, family gathering, daily meal were surveyed with a total of 454 housewives in Pusan. (1) In the frequency of dining-out, once or twice a month shows highest percentage, 59.7% and 45.8% for social meeting and family gathering respectively. The occasion of dining-out for the daily meal is less than 1 or 2 time per 6 month (62.6%). The frequency of dining-out is highly dependent on demographic variables such as age, academic background, family income, car ownership. (2) The preference for Korean dishes is found to be top in all occasions for dining-out. And then for the social meeting, chinese food, western style food, japanese cuisine and fast food are prefered in order, while western style food and chinese cuisine are rather prefered than japanese cuisine and fast food in occasion for family gathering. When they dine out just for daily meal, korean food is prefered first and preference for chinese food, western style food, fast food is followed in order. Japanese cuisine is prefered the last. (3) Housewives answered highly that the expense they spend for dining-out for social meeting (45.8%) or family fathering (46.8%) is 5,000 to 10,000 won per person. For these occasions, the expense is different with family income. Namely, if their income is higher than 3,000,000 won, they usually spend 10,000 to 15,000 won for the occasion. And for the daily dining-out, 34.7% respondents answered that they spend 2,000 to 3,000 won.

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.17-25
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• 2021

When a person wears clothing, it is important to configure an outfit appropriate to the intended occasion. Therefore, T.P.O(Time, Place, Occasion) of the outfit is considered in various fashion recommendation systems based on artificial intelligence. However, there are few studies that directly infer the T.P.O from outfit images, as the nature of the problem causes multi-label and class imbalance problems, which makes model training challenging. Therefore, in this study, we propose a model that can infer the T.P.O of outfit images by employing a label-distribution-aware margin(LDAM) loss function. Datasets for the model training and evaluation were collected from fashion shopping malls. As a result of measuring performance, it was confirmed that the proposed model showed balanced performance in all T.P.O classes compared to baselines.

• Journal of the Korean Statistical Society
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• v.25 no.1
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• pp.25-37
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• 1996

In this paper, we propose regression estimators based on a partial replacement sampling scheme over two successive occasions and derive the minimum variances of them. PPSWR, RHC, $\pi$PS and PPSWOR schemes are considered to select unequal probability samples on two occasions. Simulation results over four populations are given for comparison of composite estimators and regression estimators.

• Communications for Statistical Applications and Methods
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• v.7 no.1
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• pp.211-224
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• 2000

The Bayes estimation of the proportion in successive occasions sampling with randomized response model is discussed by means of Acceptance Rejection sampling. Bayesian estimation of transition probabilities in two successive occasions is suggested via Markov Chain Monte Carlo algorithm and its applicability is represented in a numerical example.