• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.1
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• pp.31-40
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• 2022

Six Sigma is a philosophy and systematic methodology for quality improvement. It encourages continuous quality improvement efforts to achieve the ideal goal of 6σ. Sigma(σ) is a statistic representing the standard deviation of the normal distribution, and 6σ level means a level where the tolerance of the specification is six times the standard deviation of the process distribution. In terms of the defective rate, the 6σ level achieves the 0.002 defectives per one million units. However, in the field, the 6σ level is used in the sense of achieving 3.4 defects per one million opportunities, which shows a large gap from the 6σ level in the statistical viewpoint. This is because field practitioners accept a 1.5σ shift of the mean of process when calculating the defective rate under sigma level. It said that the acceptance of 1.5σ shift of the mean is from experience, but there is no research or theoretical explanation to support it logically. Although it is a non-scientific explanation based on experience, considering that there has been no objection to the 1.5σ shift for a long time and it is rather accepted, it is judged that there is a reasonable basis for the 1.5σ shift. Therefore, this study tries to find a reasonable explanation through detective power of control chart via the run-rules to the 1.5σ shift empirically recognized by practitioners.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.8
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• pp.2895-2912
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• 2014

Content-based image retrieval has been the most important technique for managing huge amount of images. The fundamental yet highly challenging problem in this field is how to measure the content-level similarity based on the low-level image features. The primary difficulties lie in the great variance within images, e.g. background, illumination, viewpoint and pose. Intuitively, an ideal similarity measure should be able to adapt the data distribution, discover and highlight the content-level information, and be robust to those variances. Motivated by these observations, we in this paper propose a probabilistic similarity learning approach. We first model the distribution of low-level image features and derive the free energy kernel (FEK), i.e., similarity measure, based on the distribution. Then, we propose a learning approach for the derived kernel, under the criterion that the kernel outputs high similarity for those images sharing the same class labels and output low similarity for those without the same label. The advantages of the proposed approach, in comparison with previous approaches, are threefold. (1) With the ability inherited from probabilistic models, the similarity measure can well adapt to data distribution. (2) Benefitting from the content-level hidden variables within the probabilistic models, the similarity measure is able to capture content-level cues. (3) It fully exploits class label in the supervised learning procedure. The proposed approach is extensively evaluated on two well-known databases. It achieves highly competitive performance on most experiments, which validates its advantages.

• Journal of environmental and Sanitary engineering
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• v.22 no.1 s.63
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• pp.67-74
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• 2007

The purpose of this study is to provide the necessarily basic data of the ideal growth of the students by investigating the effect of the student's stress due to the parent's achievement pressure. The sample of this study are In students consisting of 51 boys and 49 girls in the 3rd grade classes of "J" middle school located in Siheung city, Kyungki-do. The observed materials are used to investigate the parent's achievement pressure and the level of stress. Based on the observed data, the frequency, correlation, and t-test have been gained. The results are summarized as follows : 1. The perception of the parent's achievement pressure is shown more by the boy's achievement pressure($44.2{\pm}9.9$) than the girl's achievement pressure($39.939{\pm}11.089$), among the high level students. 2. The perception of the parent's achievement pressure is shown more the high($43.0{\pm}10.7$) and middle($42.9{\pm}11.8$) level students than the low($39.7{\pm}8.00$) level students. 3. The stress of male students was high in the Solving Problem stress factor with by the mean of $15.1{\pm}3.7$, and the stress of female students was high in the Self-Control stress factor with the mean of $13.3{\pm}3.9$. 4. The stress of high, middle, low level student was high in the Solution of Matter stress factor with the mean of $14.2{\pm}3.9$. 5. The results were the main cause of the stress than the parent's achievement pressure.

• Journal of Korean Society of Transportation
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• v.24 no.2 s.88
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• pp.53-63
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• 2006

The objective of this study is to estimate Korean transportation service index (KTSI), and to explore possible uses of the KTSI. The KTSI was monthly index to represent the level of passenger and freight services by road, railroad, air and maritime modes, which was developed from eight series. Four of these series measure the level of passenger services (passenger-kilometers) by road, railroad. air and maritime modes : monthly data from January 1995 to December 2004. Similarly. the remaining four series measure the level or freight activity (tonnage) by four modes during the same period. Given the weights of modal revenues, component series were aggregated into two indexes (passenger index and freight index) and a composite index using Chained Fisher Ideal index. which was a geometric mean of the Laspeyres index and the Passche index. The Fisher Ideal index is one of the 'superlative' indexes, which diminish 'substitution bias' as current-weighted indexes. As a result, the freight index and the composite index explain economic conditions better than the passenger index. Based on the composite index. the newly estimated KTSI shows an average lag time of one and a half years at peaks and three months at troughs in comparison with domestic business cycles. Nonetheless. the following efforts are needed for more credible and useful estimates; establishment of data collection scheme in time. credibility uplift of used data, development of various indexation methods.

• Journal of Korea Water Resources Association
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• v.50 no.12
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• pp.815-825
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• 2017

Groundwater management vulnerability was assessed using TOPSIS (Techniques for Order Performance by Similarity to Ideal Solution) for 21 administrative districts in Nakdong river basin. Ten indicators were selected for 21 administrative districts in the Nakdong river basin by collecting natural, human, and social data sets. The selected indicators were standardized using rescale method, and each indicator was weighted by considering the questionnaire of expert group. The results of the weights determination survey showed that the annual average groundwater level index was 0.157 and this is the highest value. The annual average precipitation index was 0.154 and the annual groundwater recharge index was 0.152. The lowest weighted index was 0.043 for population density. Finally, the result of assessment of groundwater management vulnerability showed that Sangju-si was the most vulnerable to groundwater management among 21 administrative districts in Nakdong river basin because the annual average precipitation, annual average groundwater recharge, and annual average groundwater use indicators were highly vulnerable. The second and the third vulnerable regions were Yecheon-gun and Haman-gun respectively. The assessment of groundwater management vulnerability for the five major river basins in Korea can be a essential basis for the establishment of groundwater management policy.

• Asia Marketing Journal
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• v.9 no.3
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• pp.117-149
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• 2007

It can be explained by congruity theory as a process that consumers engage in a matching process to identify personal community that is congruent with their self-images to find the identification between the self and the personal community. Personal community cues that evoke certain images are viewed as activating similar beliefs about the self (e.g., high status). Individuals prompt a comparison process to determine whether the personal community and self-image are congruent and imagine prototypical users of the personal community and select ones that maximize similarity to their actual or desired self-concept. Identity is devided into personal identity and social identity. Consumers are likely to be influenced by both personal identity and social identity. In this article the influencing factors of the commitment to on-line personal community are explored by the sources of both personal identification and social identification. The results are as follows. The maintenance expression and enhancement expression of personal self influence the level of personal identification positively and the maintenance expression and enhancement expression of social self influence the level of social identification positively. The level of both social and personal identification positively influence the commitment to on-line personal community which gives positive responses to the source enterprise that allows the cyberspace and the other benefits to be used.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.1
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• pp.283-287
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• 2012

Objective: To explore the participation rates for breast and colorectal cancer screening and identify associated correlates among elderly women. Methods: Logistic regressions were conducted using data collected in 2006 from 1,533 elderly women aged 60 years or above who had completed a screening instrument, the Minimum Data Set-Home Care, while applying for long-term care services at the first time in Hong Kong. Results: The participation rates for breast and colorectal cancer screening among frail older Chinese women were 3.7% and 10.8% respectively. Cognitive status was inversely associated with the likelihood of participation in screening (breast: OR = 0.66, 95%CI = 0.47-0.94; colon: OR = 0.81, 95%CI = 0.66-0.99), as was educational level with the likelihood of participation in breast cancer screening (no formal education: OR = 0.20, 95%CI = 0.06-0.61, some primary education: OR = 0.31, 95%CI = 0.10-1.00). Conclusion: The delivery of cancer preventive health services to frail older women is less than ideal. Cognitive status and educational level were important factors in cancer screening behaviour. Tailor-made strategic promotion programmes targeting older women with low cognitive status and educational levels are needed to enhance awareness and acceptance within this vulnerable group.

• Korean Journal of Poultry Science
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• v.42 no.1
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• pp.87-100
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• 2015

It is well known that dietary protein affects the growth performance and carcass composition of poultry. Over the last several decades, numerous studies have been carried out to investigate to optimize the level of dietary protein since the protein is an important and expensive constituent in poultry feed. It is generally accepted that dietary protein should represent a balance of amino acids supporting the requirements for growth and maintenance of birds. A protein with balanced essential amino acids that matches a bird's requirement and sufficient non-essential amino acid nitrogen to enable the synthesis of all of the non-essential amino acids, is referred to as an 'ideal protein'. Feeding of excess protein or amino acids may result in an amount of nitrogen emission. Most common method to reduce nitrogen emission is using diet formulation which has lower dietary crude protein level and higher concentration of amino acid supplements. However, there are conflicting reports whether low protein diets supplemented with synthetic amino acids can obtain the growth performance equal to high protein diets. Excessive nitrogen excretion caused by amino acid imbalance also may influence the environment of poultry house due to ammonia production from uric acid. These environmental conditions may increase the incidence of skin problem or respiratory diseases of chickens. Various strategies based on comprehensive understanding should be tested to optimize nitrogen utilization and reduce nitrogen emission while maintaining the performance in poultry production.

• Journal of Korean Academy of Nursing
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• v.45 no.6
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• pp.890-899
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• 2015

Purpose: The purpose of this study was to identify the level of distress and posttraumatic growth in fathers of chronically ill children and also, to identify the relation between characteristics of the fathers and children and their posttraumatic growth and to investigate factors that influence posttraumatic growth. Methods: In this study, 48 fathers who visited a university hospital in Seoul, Korea and who gave written consent completed the questionnaire between September 23 and November 19, 2013. Data were analyzed using Mann-Whitney U test, Kruskal-Wallis test, Pearson correlation coefficient and stepwise multiple regression. Results: The level of distress in fathers of chronically ill children was relatively high and the majority of them were experiencing posttraumatic growth. Models including the variable (deliberate rumination, religiousness, optimism) explained 64.3% (F=26.38, p <.001) of the variance for posttraumatic growth. Deliberate rumination (${\beta}=.59$, p <.001) was the most influential factor. Conclusion: The findings demonstrate that it is essential for nurses to intervene and facilitate continuously so as to promote posttraumatic growth and relieve distress in fathers of chronically ill children. Furthermore, it is also necessary for nurses to find ways to develop ideal interventions to activate deliberate rumination and offer spiritual care and help maintain optimism in these individuals.

• Transactions of the Korean Society of Automotive Engineers
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• v.18 no.6
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• pp.23-30
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• 2010

A detailed circuit level model requires a small sampling time to represent high frequency switching behaviors with proper resolution. The small sampling time leads a large execution time to obtain the system analysis results. As the alternative of the detailed circuit model, an averaged PWM switch model was proposed for the rapid system level analysis. There exists a voltage distortion between the reference and output voltage because of non-ideal switching characteristics, such as the dead-time, diode forward voltage drop and conduction resistance. This paper analyzed causes and effects of the voltage distortion. The average inverter model, which reflecting this voltage distortion, is developed for the rapid and accurate analysis of automotive electric drive system in MATLAB/Simulink environment. The rapidity and accuracy of the proposed inverter model is proved through comparison between simulation and experiment.