• Communications of the Korean Mathematical Society
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• v.15 no.4
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• pp.697-706
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• 2000

If an arithmetic progression F of length 2n and the number k with 2k$\leq$n are give, can we find two monic polynomials with the same degrees whose set of all zeros form F such that both the number of bad pairs and the number of nonreal zeros are 2k? We will consider the case that both the number of bad pairs and the number of nonreal zeros are two. Moreover, we will see the fundamental relation between the number of bad pairs and the number of nonreal zeros, and we will show that the polynomial in x where the coefficient of x(sup)k is the number of sequences having 2k bad pairs has all zeros real and negative.

• Proceedings of the KIEE Conference
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• 1993.07a
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• pp.131-133
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• 1993

In the power system state estimation, the J(x)-index test and normalized residuals $r_N$ have been used to detect the presence of bad measurements and identify their location. But, these methods require the complete re-estimation of system states whenever bad data is identified. This paper presents back-propagation neural network model using autoregressive filter for identification of bad measurements. The performances of neural network method are compared with those of conventional methods and simulation results show the good performance in the bad data identification based on the neural network under sample power system.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.51-59
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• 2009

Lean construction researchers and practitioners have established a new paradigm for managing construction projects. This paradigm stems from insights gained by viewing project delivery as one kind of production and, inspired by the success of the Toyota Production System, leveraging Toyota's 'lean thinking' in the context of such one-of production. Premises of lean construction are that (1) production systems are riddled with variation, (2) variation can be good or bad, but most of it is bad, (3) most of this variation-good or bad-is self-inflicted; consequently 'lean' passionately promotes good- and relentlessly eradicates bad variation. This paper surveys a few of many lean construction means to manage variation. Lean thinking encompasses a lot more than thinking about variation, but that is the lens used here through which construction project management is viewed. Pairing these premises with lean variation-management tools may help readers broaden the insights they can gain from reading the lean construction literature.

• Proceedings of the Korean Society of Food Science and Nutrition Conference
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• 2001.12a
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• pp.140-151
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• 2001

This study was performed to examine a possible application of the beverage as a bad breath controlling food. To achieve this objective, methods of gas chromatography, electronic nose, sensory analysis and halimeter were used to detect reduction in odor intensities of bad breath caused by the functional beverage as well as its active ingredients. According to results of GC and electronic nose, adding green tea and champignon extracts to bad breath indicators, methylmercaptan and trimethylamine, resulted in significant reduction in headspace concentrations of two indicators. GC results revealed that headspace concentrations of 5 ug/ml of methylmercaptan and 30 ug/ml of trimethylamine added to various concentrations of two extracts were reduced up to $100\%$ after incubating mixtures at $37^{\circ}C$ for 5min. When the functional beverage was properly formulated with green tea extract, champignon extract and $\alpha$-cyclodextrin and evaluated for its deodorizing effect systematically, it also showed distinctive deodorizing activities against bad breath indicators. Conclusively, results obtained from this study might encourage introduction of a new type of bad breath control food in near future.

• Archives of Plastic Surgery
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• v.46 no.6
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• pp.535-543
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• 2019

Background A high incidence of breast animation deformity (BAD) has been reported following immediate breast reconstruction with subpectorally placed implants. The aim of this study was to assess and compare the incidence of BAD in women who underwent either subpectoral or prepectoral immediate breast reconstruction. Therefore, we developed a grading tool and tested its reproducibility in a clinical setting. Methods Video recordings of 37 women who had undergone unilateral or bilateral immediate breast reconstruction were evaluated by two consultant plastic surgeons. The degree of BAD was assessed by our grading tool, named the Nipple, Surrounding Skin, Entire Breast (NSE) grading scale, which evaluates the degree of tissue distortion in three areas of the breast. Blinded assessments were performed twice by each observer. Results Eighteen patients were reconstructed with subpectoral implant placement and 19 with prepectoral implant placement. Using the NSE grading scale, we found a significant difference in the degree of BAD between the groups, in favor of patients who underwent prepectoral immediate breast reconstruction (0.2 vs. 4, P=0.000). Inter- and intraobserver agreement was moderate (74%) to strong (88%). Conclusions The incidence and severity of BAD was significantly lower in women reconstructed with a prepectorally placed implant than in those who underwent subpectoral immediate breast reconstruction. All patients reconstructed using the subpectoral technique had some degree of BAD. The inter- and intraobserver agreements were high when using the NSE grading scale, suggesting it is an easy-to-use, reproducible scale for assessing BAD in women who undergo immediate breast reconstruction.

• Fashion & Textile Research Journal
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• v.10 no.1
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• pp.11-21
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• 2008

The purpose of this study was to provide the guidance in more objective and proper clothing design and a strategy of fashion marketing from consumer sensibilities about adult women's town wear in un-limited circumstance. The specific objectives were 1) to investigate relationship between fashion sensibility and consumer sensibility of Good and Bad women's town wear, 2) to compare fashion sensibility with consumer sensibility of Good and Bad women's town wear, and 3) to investigate a dimension of Good and Bad women's town wear in fashion sensibility. Because they can affect estimators, the collected photos at shopping mall, department stores, and churches (S/S, F/W: April 28, 2004~May 1, 2005) were prepared removing face and background and attached on gray board. To investigate consumer sensibilities, the stimulus were 80 photos (40 for 'good', 40 for 'Bad'). The questionnaire consisted of bi-polar 25 pairs adjective scale of consumer sensibility was distributed 600 female (20's~40's) living in Busan (June 28, 2005~July 11, 2005). The data were analyzed by ANOVA, Regression analysis, and MDS. The results of practical study are summarized as follows. Fashion sensibility on the preference in Good and Bad women's town wear is closely related in 'want to buy-do not want to buy' and buying need is 'like-dislike'. For the fashion sensibility dimension at Good women's town wear, X axis showed from Young to Adult and Y axis showed from Hard to Comfortable following positioned design characters. For the fashion sensibilities dimension at Bad women's town wear, X axis showed from Young to Adult, Y axis showed from Normal to Unique, and Z axis showed from Heavy to Light following positioned design characters.

• Science of Emotion and Sensibility
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• v.17 no.3
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• pp.39-48
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• 2014

Good and bad luck is an important factor that frequently affects human information processing. However, in spite of its significance, few studies have been done to examine how good and bad luck influences information processing and reasoning. The current research was performed to explore the effect of good and bad luck on reasoning and, for this, two experiments were conducted. In experiment 1, participants were primed with good or bad luck and were asked to make an inference for a given murder case and include as many as clues for it, while in experiment 2, participants were asked to exclude as many as clues for the same murder case. Results show that, in experiment 1, participants who were primed with good luck included more clues than those who were primed with bad luck. However, in Experiment 2, it was found that participants who were primed with bad luck excluded more clues than those who were primed with good luck. Findings from this study indicate that priming good luck enhances holistic thinking which leads to including more and excluding less clues whereas priming bad luck increases analytic thinking which leads to including less and excluding more clues. Implications of this study for inference and decision making, consumer behavior, and addict psychology are discussed.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.25 no.4
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• pp.194-200
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• 2013

In this study, an exhaust filter unit for removing bad smells is designed and manufactured to understand the characteristics, damages, and effects on humans and animals of bad smell substances in laboratory animal breeding facilities. Using the exhaust filter unit, a deodorization performance test using ammonia gas, as a typical bad smell in an animal breeding room, was carried out for three types of activated and impregnated charcoal filters. The experimental results showed that the pressure loss of the HEPA and carbon filter was increased with flow rate and that the average deodorization performance for the case where an impregnated carbon filter was installed was a maximum value of between 93 and 96%, with various fractional flow rates ranging from 1,500 to $3,500m^3/h$ in a laboratory animal breeding room. The experimental results will also be used for the design and manufacture of a practical and efficient exhaust filter unit to cope with bad smell problems in animal breeding facilities.

• The Korean Journal of Health Service Management
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• v.11 no.2
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• pp.105-115
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• 2017

Objectives : The aim of this study was to suggest the optimal cut off for best, very good, good, slightly bad, and bad grades. Methods : The subjects were recruited from 4 areas of South Korea and 487 questionnaires were analyzed. The nominal and continuous self-rated health questions were used to reveal the optimal cut off and the Short Form-12 Health Survey questionnaire (SF-12) was additionally used. Frequency, Pearson's correlation coefficient, and ROC-curve analysis were used; the significance level was <.05. Results : Subjects assigned 15(3.1%), 90(18.5%), 237(48.7%), 130(26.7%), and 15(3.1%) to best, very good, good, slightly bad and bad groups respectively. The self-rated health score was associated with total Component (r=.563, p<.001), Physical Component (r=.520, p<.001) and Mental Component of SF-12 (r=.303, p<.001). The optimal cut off was 80.5, 70.5, 53.5, and 40.5 for best, very good or more, good or more, and under slightly bad respectively and area under curve was 0.898, 0.908, 0.945, and 0.908 accordingly. Conclusions : This study suggests that the self-rated health score and grade could be integrated with the optimal cut off.

• Proceedings of the KIEE Conference
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• 1990.11a
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• pp.239-243
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• 1990

This paper presents a algorithm to improve accuracy and reliability in state estimation of contaminated bad data. The conventional algorithms for detection of bad data confront the problems of excessive memory requirements and long computation time. In order to overcome measurement compensation approach is proposed to reduce computation time and partitioned measurement error model has the advantage of remarkable reduction in computation time and memory requirements in estimated error computation. The proposed algorithm has been tested for IEEE sample systems, which shows its applicability to on-line power systems.