• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1042-1042
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• 2001

In linear discriminant analysis there are two important properties concerning the effectiveness of discriminant function modeling. The first is the separability of the discriminant function for different classes. The separability reaches its optimum by maximizing the ratio of between-class to within-class variance. The second is the stability of the discriminant function against noises present in the measurement variables. One can optimize the stability by exploring the discriminant variates in a principal variation subspace, i. e., the directions that account for a majority of the total variation of the data. An unstable discriminant function will exhibit inflated variance in the prediction of future unclassified objects, exposed to a significantly increased risk of erroneous prediction. Therefore, an ideal discriminant function should not only separate different classes with a minimum misclassification rate for the training set, but also possess a good stability such that the prediction variance for unclassified objects can be as small as possible. In other words, an optimal classifier should find a balance between the separability and the stability. This is of special significance for multivariate spectroscopy-based classification where multicollinearity always leads to discriminant directions located in low-spread subspaces. A new regularized discriminant analysis technique, the principal discriminant variate (PDV) method, has been developed for handling effectively multicollinear data commonly encountered in multivariate spectroscopy-based classification. The motivation behind this method is to seek a sequence of discriminant directions that not only optimize the separability between different classes, but also account for a maximized variation present in the data. Three different formulations for the PDV methods are suggested, and an effective computing procedure is proposed for a PDV method. Near-infrared (NIR) spectra of blood plasma samples from daily monitoring of two Japanese cows have been used to evaluate the behavior of the PDV method in comparison with principal component analysis (PCA), discriminant partial least squares (DPLS), soft independent modeling of class analogies (SIMCA) and Fisher linear discriminant analysis (FLDA). Results obtained demonstrate that the PDV method exhibits improved stability in prediction without significant loss of separability. The NIR spectra of blood plasma samples from two cows are clearly discriminated between by the PDV method. Moreover, the proposed method provides superior performance to PCA, DPLS, SIMCA md FLDA, indicating that PDV is a promising tool in discriminant analysis of spectra-characterized samples with only small compositional difference.

• Journal of the Korea Concrete Institute
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• v.20 no.5
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• pp.635-642
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• 2008

In recent years, epoxy-coated reinforcing bars have been widely used in order to prevent the corrosion of ordinary reinforcing bar. However, they have a bad balance between performance and cost. Especially, they have a brittleness properties, low bond strength to cement concrete and no good bend-ability in the field. The purpose of this study is to evaluate the tensile properties and adhesion of hybrid-type anti-corrosion polymer cement slurry (PCS). PCSs are prepared with four types polymer dispersions using fly ash and silica fume, and tested for proper coating thickness, tensile properties, adhesion to steel plate and bend-ability. From the test results, the viscosity of PCS is effected by polymer dispersion types, and is a little decreased by using fly ash. The coating thickness of PCS has a proper thickness at polymer-binder ratio of 100%. It is apparent that the coating thickness has various values according to viscosity of PCS, water-binder ratio and polymer-binder rato. PCS has a good various anticorrosion properties and physical properties such as tensile strength, adhesion and bend-ability. It is also recommended that proper coating thickness to reinforcing bar is in the ranges of 150 to $250{\mu}m$ for bond strength, adhesion and bend-ability. It is also expected that the coated reinforcing bar using PCS is widely used instead of epoxy coated reinforcing bar in the industrial field.

• Korean Journal of Poultry Science
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• v.33 no.3
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• pp.217-224
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• 2006

This study was carried out to investigate the effect of food-waste(FW) between weeks(0, 1, 2, 3, 4 week) and additive levels(0, 1, 3, 5, 10, 20%) on egg production and egg qualify in laying hens. One hundred sixty two White Leghorn laying hens at fifty weeks of age were used for this work. There was no significant difference on feed intake, egg production, and egg weight among all treatments. But, 20% FW group was decreased at 1, 2, and 3 week on egg production and it was recovered at 4 weeks(p<0.05). There was no difference on the eggshell thickness and egg yolk index among all treatments. However, eggshell breaking strength were $4.13kg/cm^2\;and\;4.04kg/cm^2$ at 3 week and 4 week, individually, and there was difference on eggshell breaking strength(p<0.05). Haugh unit and egg yolk color were high at 20% FW group as 92.3 and 9.4, individually, and there was shown the significant increasing in weeks and additive levels(p<0.05). Conclusionally, 20% FW group was decreased on egg production, while 5% FW group was maintained on egg production, and haugh unit and egg yolk color were cleary developed. Therefore, if the nutrients balance of FW diets were controlled, FW diets will be used with one of the valuable feed sources.

• The Journal of Internal Korean Medicine
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• v.35 no.1
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• pp.12-23
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• 2014

Objectives : The purpose of this study was to report possibility of acupuncture or moxibustion for the treatment of Parkinson's disease (PD) by reviewing literature about its effectiveness. Methods : In this review, PubMed, SCOPUS, Science Direct and CINAHL of EBSCOhost were used to search medical journals, using keywords "Parkinson's disease and acupuncture" and "Parkinson's disease and moxibustion". The search range included randomized controlled trials (RCT) about Parkinson's disease combined with another disease and other treatments with acupuncture or moxibustion. Non-randomized controlled trial (nRCT), case study, animal experiment, human experiment, review, survey, essay, letter, and protocol for review were excluded. Results : From 311 studies, 111 were selected during the title and the screening. Finally, 16 RCTs (15 for acupuncture research and one for moxibustion) were included in this review, after scanning and matching the inclusion and exclusion criteria. The number of patients varied between 5 and 88. A total of 12 studies using electroacupuncture (EA) were classified into acupuncture studies. The body acupuncture studies numbered 4, scalp acupuncture 4, body and scarp acupuncture mixed studies 4, and bee venom, ear and abdomen acupuncture were each one study. In evaluation methods, total effective rate method was used in 9 studies, the Unified Parkinson's Disease Rating Scale (UPDRS) was used in 8, and the Webster score in 2. In addition, the Berg balance scale (BBS), 30 m walking time, steps to walk 30 m, PD motor function score, and Motor Performance Series by Schoppe (MLS) method were used for evaluation. In 15 of the 16 studies, the verum acupuncture group showed significant improvement compared with the control. In 9 studies using total effective rate method, the effective rate was reported as 80.0-97.3% in verum acupuncture groups and 52.6-86.4% in controls. Conclusions : Acupuncture may be a plausible alternative method to care for the long term symptoms and treat movement impairment of Parkinson's disease. However, to confirm this result, high quality studies including randomized, placebo-controlled double-blind trials are warranted.

• Asian-Australasian Journal of Animal Sciences
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• v.20 no.10
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• pp.1580-1586
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• 2007

The objective of this study was to compare the bioefficacy of L-lysine sulfate relative to L-lysine${\cdot}$HCl for 10 to 20 kg pigs. Two experiments were conducted to determine the bioefficacy of the two sources of lysine using daily gain, feed conversion, plasma urea nitrogen and nitrogen retention as the response criteria. In experiment 1, 168 crossbred barrows ($Landrace{\times}Large$ White), weaned at $28{\pm}3$ d ($9.07{\pm}0.78$kg body weight), were allotted to one of seven dietary treatments in a $2{\times}3$ (two lysine $sources{\times}three $ lysine levels) factorial arrangement of treatments with an added negative control treatment group. The basal diet was based on corn, peanut meal and soybean meal and provided 0.67% lysine. The basal diet was supplemented with 0.1, 0.2 or 0.3% lysine equivalents supplied from either L-lysine sulfate or L-lysine${\cdot}$HCl. Each treatment was fed to six pens of pigs with four pigs per pen. The trial lasted 21 days. The relative bioefficacy value of lysine in L-lysine sulfate using daily gain, feed conversion and plasma urea nitrogen as response criteria was 1.01, 1.05 and 1.04 of the lysine in L-lysine${\cdot}$HCl, respectively. In experiment 2, 42 crossbred ($Landrace{\times}Large$ White) pigs ($16.03{\pm}1.58$ kg body weight) were housed in stainless steel metabolism cages for 10 d and fed the seven diets used in the nitrogen-balance trial. The relative bioefficacy value of L-lysine sulfate was estimated to be 0.95 as effective as L-lysine${\cdot}$HCl for nitrogen retention on an equimolar basis. The t-test analysis revealed that bioefficacy of lysine in L-lysine sulfate was not significantly different from lysine in L-lysine${\cdot}$HCl, which was set at 1.00. In conclusion, L-lysine sulfate can be used instead of L-lysine${\cdot}$HCl to fortify lysine-deficient diets fed to 10 to 20 kg pigs.

• Korean Journal of Agricultural and Forest Meteorology
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• v.7 no.1
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• pp.107-114
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• 2005

Soil CO₂ emission is one of the primary components in carbon balance of terrestrial ecosystems. In soil CO₂ flux measurements, chamber method is currently the most common technique. Prior to compare or synthesize the data collected from different chamber methods, potential biases must be quantified for each measurement system. We have conducted an intercomparison experiment among four closed dynamic chamber systems and an automatic open-closed chamber system in a temperature-controlled phytotron. Due to the disturbed CO₂ concentrations inside the phytotron during the measurements with closed dynamic chambers and the changes in soil water content, the interpretation of the data was difficult to quantify the biases of individual methods. However, the experiment provided not only valuable information on the performance characteristics of the five instruments to varying soil temperature and CO₂ concentration but also useful insights for better designs and strategy for future intercomparison in a controlled environment.

• Journal of Distribution Science
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• v.13 no.11
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• pp.123-130
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• 2015

Purpose - Due to highly elevated levels of competition, many companies today have to face the problem of decreasing profits even when their actual sales volume is increasing. This is a common phenomenon that is seen occurring among companies that focus heavily on quantitative growth rather than qualitative growth. These two aspects of growth should be well balanced for a company to create a sustainable business model. For supply chain management (SCM) planners, the optimized, quantified flow of resources used to be of major interest for decades. However, this trend is rapidly changing so that managers can put the appropriate balance between sales volume and sales quality, which can be evaluated from the profit margin. Profit optimization is a methodology for companies to use to achieve solutions focused more on profitability than sales volume. In this study, we attempt to provide executional insight for companies considering implementation of the profit optimization system to enhance their business profitability. Research design, data, and methodology - In this study, we present a comprehensive explanation of the subject of profit optimization, including the fundamental concepts, the most common profit optimization logic algorithm -linear programming -the business functional scope of the profit optimization system, major key success factors for implementing the profit optimization system at a business organization, and weekly level detailed business processes to actively manage effective system performance in achieving the goals of the system. Additionally, for the purpose of providing more realistic and practical information, we carefully investigate a profit optimization system implementation case study project fulfilled for company S. The project duration was about eight months, with four full-time system development consultants deployed for the period. To guarantee the project's success, the organization adopted a proven system implementation methodology, supply chain management (SCM) six-sigma. SCM six-sigma was originally developed by a group of talented consultants within Samsung SDS through focused efforts and investment in synthesizing SCM and six-sigma to improve and innovate their SCM operations across the entire Samsung Organization. Results - Profit optimization can enable a company to create sales and production plans focused on more profitable products and customers, resulting in sustainable growth. In this study, we explain the concept of profit optimization and prerequisites for successful implementation of the system. Furthermore, the efficient way of system security administration, one of the hottest topics today, is also addressed. Conclusion - This case study can benefit numerous companies that are eagerly searching for ways to break-through current profitability levels. We cannot guarantee that the decision to deploy the profit optimization system will bring success, but we can guarantee that with the help of our study, companies trying to implement profit optimization systems can minimize various possible risks across various system implementation phases. The actual system implementation case of the profit optimization project at company S introduced here can provide valuable lessons for both business organizations and research communities.

• Journal of the Korean Institute of Landscape Architecture
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• v.40 no.5
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• pp.140-147
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• 2012

This study developed a flowerbed type infiltration system that could control the amount of runoff discharge under a certain level estimated its proper design infiltration rate, and analyzed the effects of its implementation. Analyzing the performance of infiltration system is the one of the essential processes that should be under review to predict its effects after implementation when a rainwater infiltration system is included in a district-based plan. To estimate the unit design infiltration rate of this system, the runoff decrease effect was analyzed by varying the unit infiltration rate of the system applied to the parking lot adjacent to the Korea Institute of Construction Technology laboratory building by using a water balance analysis program. After varying the unit design infiltration to $0.1{\sim}3m^3/m^2.day$ to analyze the variation in the rate of runoff, 80% of the runoff was infiltrated at $1.0m^3/m^2.day$, and the unit infiltration design rate at the time was 0.0416(m3/m2.hr). It was also found that the unit design infiltration rate obtained from a field infiltration test of the developed system was about $0.045m^3/hr$. Based on this study, it was possible that infiltration rate is estimated to consider the economic scale and environmental effect. It is significant to apply the spatial plan of rainwater infiltration system as green infrastructure.

• Journal of Korean Society of Environmental Engineers
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• v.22 no.12
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• pp.2187-2195
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• 2000

A water treatment system using membrane separation technology can provide stable effluent quality and its maintenance is relatively easy comparing to the conventional water treatment system. In addition, the membrane filtration system is very compact such that it can replace existing water treatment processes of coagulation/sedimentation/filtration by only one process. However, a major problem associated with membrane filtration is flux decline with operating time due to concentration polarization and fouling, so a systematic study on evaluation of long-term filtration performance is necessary. A membrane filtration system using tubular type ultrafiltration membranes with MWCO of 30.000 Da was constructed for this study and it had been operated in a feed-and-discontinuous bleed mode. Flux was stabilized after operation of 1.500 hours and maintaining above 25 LMH until 4.000 hours. Contaminants causing SS and turbidity were almost completely removed while the $UV_{260}$ and DOC removals were 55% and 49%, respectively. A simple mass balance equation was developed to predict maximum concentrations of SS, turbidity, $UV_{260}$ and DOC in a operation cycle. For SS and turbidity the measured max, concentrations in each cycle agree well with the predicted values while the measured max, concentrations of $UV_{260}$ and DOC were 59% and 37% of the predicted values, respectively.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.410-420
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• 2016

Recently, the R&D paradigm has become oriented toward convergence technology and interdisciplinary research. In this study, to elucidate the characteristics of research groups that promote the performance of convergence research, we take into account the input characteristics, disciplinary characteristics and collaborative characteristics of research groups. For this study purpose, 5,217 SCI papers published from 104 centers in Advanced Research Center Projects are analyzed as research outputs. The research findings are that the disciplinary balance in the interdisciplinary characteristics and the number of partners in the collaborative characteristics are positively related to the convergence of R&D outputs. The research field of a group introduced as a control variable exerts a significant effect on the convergent R&D outputs. In conclusion, it is necessary to organize internally with the same number of each disciplinary researcher in a research group and to activate external collaboration with partners in order to produce more outputs of convergent research.