• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.3
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• pp.417-427
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• 1998

Price, one of the marketing 4p's, is a key decision variable affecting market share and the profitability of individual products. For consumers, since price is almost always known to and can be compared, it is one of the most important criteria when they make a purchase decision making. With the consumers' increasing consciousness for price due to economic recession, and the saturation of domestic apparel market, it is expected that the effect of price on consumers' decision making would be greater than ever. This study, the first in two part series, focuses on testing the validity of dimensions of clothing price using Lichtenstein et. at. (1993)'s suggestion. In addition, the effect of demographic variables on the perception of each price dimension was investigated. The subjects were 264 college students living in Seoul, Korea. The data were collected by self -administered questionnaires and analyzed by t-test, ANOVA, regression analysis and Lisrel confirmatory factor analysis. The result supported Lichtenstein et. al. (1993)'s suggestion. That is, consumers' perception of clothing price is not mini-dimensional, but has six dimensions: sale proneness, price mavenism, value consciousness, price consciousness, price -quality schema and prestige sensitivity. Demographic variables partially effect on the consumers' perception of each clothing price dimension. The level of monthly pocket money, however, has influence on all price dimensions. Based on these results, marketing implications for apparel manufacturers were suggested.

• The Korean Journal of Pesticide Science
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• v.16 no.4
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• pp.350-356
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• 2012

Performance of proficiency testing and the validation of analytical method was included a scheme of quality assurance in analytical chemistry laboratory to monitor a laboratory's performance abilities and produce consistently reliable data. This study was assessed the applicability of proficiency testing scheme proposed for analytical laboratories of pesticide product in domestic. The validation of analytical methods, stability and homogeneity for formulated pesticide products (emulsifiable concentrate) of emamectin benzoate and lufenuron was confirmed for the proficiency testing. The z-score of 33 participation laboratories for emamectin benzoate were that the numbers of outlier were 2 laboratories (6.0%), z-score outside the range from -3 to 3 designated "unaccptable" were 2 laboratories and z-score in the ranges -2 to -3 and 2 to 3 designated "questionable" were 3 laboratories (9.0%). Three laboratories (9.0%) showed the z-score designated "questionable" for lufenuron. The additional proficiency testing for various product types will be needed to establish the scheme of quality control.

• Asian Journal for Public Opinion Research
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• v.8 no.1
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• pp.3-21
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• 2020

This study examined the relationship between residential environmental satisfaction and quality of life, and how the relationship between variables differed depending on housing type. Residential environments can affect a person's life in a variety of ways. However, there have not been many studies on the relationship between quality of life and residential environments, which increases the importance of this study. In this study, residential environments were categorized according to amenities, safety, and neighborhood relationships, which enabled the comparison of influence between these elements. In addition, this study analyzed the moderating effect of housing type to look for improvements for low-rise housing residents. For testing the hypotheses, moderating regression analysis was conducted with data from the 1^st Gyeonggi Province quality of life survey that had 18,953 subjects. Results showed that residential environmental satisfaction had a positive effect on quality of life, with amenities having the largest influence. Furthermore, housing type had a significant moderating effect on the relationship between safety and quality of life. In other words, safety was proven relatively important in improving quality of life for low-rise housing residents. Today, with the limits to quantitative growth, qualitative development has become more important. In this respect, this study provides important implications for many developing countries undergoing urbanization.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.1
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• pp.132-148
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• 2013

Via the Internet, the information infrastructure of modern health care has already established medical information systems to share electronic health records among patients and health care providers. Data hiding plays an important role to protect medical images. Because modern medical devices have improved, high resolutions of medical images are provided to detect early diseases. The high quality medical images are used to recognize complicated anatomical structures such as soft tissues, muscles, and internal organs to support diagnosis of diseases. For instance, 16-bit depth medical images will provide 65,536 discrete levels to show more details of anatomical structures. In general, the feature of low utilization rate of intensity in 16-bit depth will be utilized to handle overflow/underflow problem. Nowadays, most of data hiding algorithms are still experimenting on 8-bit depth medical images. We proposed a novel reversible data hiding scheme testing on 16-bit depth CT and MRI medical image. And the peak point and zero point of a histogram are applied to embed secret message k bits without salt-and-pepper.

• Korean System Dynamics Review
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• v.8 no.2
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• pp.25-49
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• 2007

An important assumption of the classical linear regression model is that the disturbances appearing in the population regression function are homoskedastic; that is, they all have the same variance. If we persist in using the usual testing procedures despite heteroskedasticity, what ever conclusions we draw or inferences we make be very misleading. The contribution of this paper will be to the concrete procedure of the proper estimation when the heteroskedasticity does exist in the data, because the quality of dependent variable predictions, i.e., the estimated variance of the dependent variable, can be improved by giving consideration to the issues of regional homogeneity and/or heteroskedasticity across the research area. With respect to estimation, specific attention should be paid to the selection of the appropriate strategy in terms of the auxiliary regression model. The paper shows that by testing for heteroskedasticity, and by using robust methods in the presence of with and without heteroskedasticity, more efficient statistical inferences are provided.

• Environmental Analysis Health and Toxicology
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• v.16 no.4
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• pp.143-151
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• 2001

Six rivers were selected as preliminary screening sites to determine the test conditions of Microtox in assessing the toxicity of the sediment. In addition, a pH range of 6.0∼6.5 was established in testing pore water, aqueous extracts and organic extracts. Each extractable fraction of sediment showed different toxicities. Therefore, in order to properly examine the toxicity in the sediment, all extractable fractions of sediment samples needed to be tested with Microtox. Thus, sediment samples were additionally collected from at least 4 secondary sites within 50∼100ｍ area of the primary sampling site to reduce any variation or deviation in toxicity assessment. From all sediment toxicity data that was collected from this study, it was concluded that the Keumho river was the most polluted with the highest sediment toxicity of all the rivers analyzed and needed further detailed research on its pollution problem.

• Journal of Korea Multimedia Society
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• v.24 no.5
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• pp.695-700
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• 2021

The Faster RCNN-based shellfish recognition algorithm is introduced for shellfish recognition studies that currently do not have any deep learning-based algorithms in a practical setting. The original feature extraction module is replaced by DenseNet, which fuses multi-level feature data and optimises the NMS algorithm, network depth and merging method; overcoming the omission of shellfish overlap, multiple shellfish and insufficient light, effectively solving the problem of low shellfish classification accuracy. In the complexifier test environment, the test accuracy was improved by nearly 4%. Higher testing accuracy was achieved compared to the original testing algorithm. This provides favourable technical support for future applications of the improved Faster RCNN approach to seafood quality classification.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2007.11a
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• pp.622-625
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• 2007

For optimizing the performance of SI engine such as engine torque, fuel consumption, and emissions, systems for variable valve timing were developed by many automotive researchers. In this work, we investigated the relationship between valve timing and intake orifice noise to improve the NVH (Noise, Vibration and Harshness) performance as well as engine torque and power. Two approaches are conducted, which are engine dynamometer testing and 1-D simulation analysis. Experimental data were measured on about 21 different operating conditions. This experiment shows that the intake and exhaust valve timing related to overlap period influence on the NVH performance, especially intake orifice noise of engine at given range of operation conditions. Similar results are achieved by using 1-D simulation analysis. It is concluded that the optimal strategies of controlling valve timing and tuning intake systems, are necessary to develop engines or vehicles with good sound quality.

• Asian-Australasian Journal of Animal Sciences
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• v.15 no.4
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• pp.591-595
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• 2002

Three hundred thirty five progeny testing steers of Korean beef cattle were evaluated ultrasonically for back fat thickness (BFT), longissimus muscle area (LMA) and intramuscular fat (IF) before slaughter. Class measurements associated with the Korean yield grade and quality grade were also obtained. Residual standard deviation between ultrasonic estimates and carcass measurements of BFT, LMA were 1.49 mm and $0.96cm^2$. The linear correlation coefficients (p<0.01) between ultrasonic estimates and carcass measurements of BFT, LMA and IF were 0.75, 0.57 and 0.67, respectively. Results for improving predictions of yield grade by four methods-the Korean yield grade index equation, fat depth alone, regression and decision tree methods were 75.4%, 79.6%, 64.3% and 81.4%, respectively. We conclude that the decision tree method can easily predict yield grade and is also useful for increasing prediction accuracy rate.

• KIEE International Transactions on Power Engineering
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• v.4A no.4
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• pp.214-220
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• 2004

Power quality monitoring is the cornerstone for power quality analysis, diagnosis and improvement. The measurement of power quality (PQ) evolves from instantaneous metering to continuous monitoring. Furthermore, recent technologies enable us to construct more flexible, reliable, rapid and economical power quality monitoring system (PQMS). Therefore, this paper presents an improved PQMS with a new distributed monitoring structure. The proposed PQMS consists of a PQ meter, PQ analyzer and GUI. The PQ meter only collects raw data and the PQ analyzer performs power quality analysis. It has several advantages compared to conventional structures in economic efficiency, modularity, speed, etc. PQ monitoring algorithms to catch steady-state trends and to detect PQ events are also adapted to the proposed structure. Using the proposed structure and monitoring algorithm, a prototype PQMS is constructed and real-time testing is performed.