• 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.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1512-1512
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• 2001

The University of Cordoba conducts since 1991 a breeding program to obtain new olive cultivars from intraspecific crosses. The objective is to obtain new early bearing and high-quality cultivars. In plant breeding, many seedlings must be tested to increased the chance of getting desirable genotypes. Therefore, fast, cheap and accurate methods of analysis are necessary. The conventional laboratory techniques are costly and time-consuming. Near Infrared Spectroscopy (NIRS) can satisfy the characteristics requested by plant breeders and offers many advantages such as the simultaneous analysis of many traits and cheap cost. The objective of this work was to asses the performance of NIRS to estimate oil fruit components (fruit weight, flesh moisture, flesh/stone ratio and oil flesh content in dry weight basis) and fatty acid composition in olive fruit. Genotypes from reciprocal crosses between ‘Arbequina’, ‘Frantoio’ and ‘Picual’ cultivars have been used in this study. A total of 287 samples, each from a single plant, were scanned using a DA-7000 Diode Array VIS/NIR Analysis System (Perten Instruments), which covers the visible and NIR range from 400-1700 nm. All samples were analysed for fatty acid composition (gas chromatography) and 220 for oil fruit components (oil content by nuclear magnetic resonance), 70% and 30% of samples were randomly assign for the calibration and validation sets respectively. The preliminary results shows that calibration for palmitic, oleic and linoleic acids were highly accurate with calibration and validation values of $r^2$ from 0.85 to 0.95 and 0.76 to 0.91 respectively. Calibration for palmitoleic and estearic acids were less accurate, probably because of the narrow range of variability available for these fatty acids. For the oil fruit components, calibration were high accurate for flesh moisture and oil flesh content in dry weight basis ($r^2$ higher than 0.90 in both calibration and validation sets) and less accurate for the other characteristics evaluated. The first results obtained indicate that NIRS analysis could be an ideal technique to reduce the cost, time and chemical wasted necessary to evaluate a large number of genotypes and it is accurate enough to use for pre-selecting genotypes in a breeding program.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.12
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• pp.4945-4953
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• 2010

The purpose of this study was to analyze the differences in perception levels of goals and concepts of physical education by the body image and gender of middle school students. Among 461 middle students randomly selected by a multistaged cluster sampling technique, 433 students(boys 267, girls 166) filled out questionnaires consisted of Figure Rating Scale and modified ones. To know the differences in the perception levels of goal and concept of physical education by sex, t-test was utilized. In order to find out the differences in the perception levels of goal and concept of physical education by body image, ANOVA was performed using the SPSS Windows 12.0. The results of this study revealed that boys had higher level of goal and concept of physical education than girls. Second, middle school students classified into normal body image was higher level of goal and concept of physical education that other body images such as very thin, thin, very obese, and obese ones. The results of this study indicated that curriculum of physical education focused on fragmentation of health, psychomotor, cognitive, affective, leisure, holistic human should make girls understand thoroughly and deeply goals and concepts of physical education and ideal body image.

• Journal of Korean Society of Transportation
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• v.20 no.3
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• pp.129-147
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• 2002

This paper presents a variational equality formulation by Providing new dynamic route choice condition for a link-based dynamic traffic assignment model. The concepts of used paths, used links, used departure times are employed to derive a new link-based dynamic route choice condition. The route choice condition is formulated as a time-dependent variational equality problem and necessity and sufficiency conditions are provided to prove equivalence of the variational equality model. A solution algorithm is proposed based on physical network approach and diagonalization technique. An asymmetric network computational study shows that ideal dynamic-user optimal route condition is satisfied when the length of each time interval is shortened. The I-394 corridor study shows that more than 93% of computational speed improved compared to conventional variational inequality approach, and furthermore as the larger network size, the more computational performance can be expected. This paper concludes that the variational equality could be a promising approach for real-time application of a dynamic traffic assignment model based on fast computational performance.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.30 no.4
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• pp.389-396
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• 2012

As the demand on the precise positioning for the moving objects has been increased in the various industry field, many studies have been conducted to analyze real time kinematic technique and its practical usage. The main purpose of this study is to analyze the possibility of Network-RTK(VRS) in real-time kinematic positioning. So, the accuracy analysis has been conducted by comparing the Network-RTK(VRS) position with respect to the RTK position. As a result, Network-RTK(VRS) based on kinematic positioning has centimeter level of RMS in the ideal environment compared to RTK positioning. However, when the integer ambiguities was lost, the accuracy of Network-RTK was meter level. At that time, the quality value has been changed dramatically and shows big correlation with accuracy. When the position and height quality values are within 0.1m, the RMS of the horizontal and vertical position appears better than 10cm and 20cm, respectively. However, if the quality value is over 0.1m, the RMS increases to larger than a meter. Therefore, it is recommended to check the quality value when conducting Network-RTK(VRS) kinematic positioning to get the centimeter level accuracy.

• Journal of Yeungnam Medical Science
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• v.5 no.1
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• pp.49-60
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• 1988

Reviewing the results of the blood cultures performed at Yeungnam University Hospital during 4-year-period through January. 1, 1984 to December 31, 1987, the following results were obtained. 1) Out of 808:3 blood specimens cultured microorganisms grew in 582 specimens with positivity rate of 7.20%. Polymicrobial bacteremia was found in 16 patients. 2) Among 582 positive specimens, Gram-positive cocci grew in 189 specimens, and Gram-negative bacilli, in 393 specimens. Clinically significant microorganisms consisted of 82 Staphylococcus aureus, and 20 Strptococcus species in Gram-positive cocci group, 80 Salmonella typhi, 72 Escherichia coli, 72 Salmonella paratyphi A in Enterobacteriaceae, and 46 Pseudomonas cepacia, and 16 Pseudomonas aeruginosa in glucose non-fermentating microorganisms. 3) Increasing incidence of Serratia, Acinetobacter and Pseudomonas species as major nosocomial infection source is noteworthy. They showed increased tendency from 6.3% of 1984 to 17.7% of 1987 of total positive blood cultures. 4) High isolation rate of Pseudomonas species and Aeromonas hydrophilia was noted in summer, while Salmonella typhi showed high prevalence from May to September and in January. 5) In susceptibility tests of isolated organisms, staphylococcus aureus was sensitive to basic antimicrobial agents except for ampicillin. The glucose non-fermentating microorganisms showed high resistance to basic antimicrobial agents in 32.2%. In conclusion, considering the relatively higher incidence of growth of Staphylococcus epidermidis than ideal level indicates that sampling technique should be improved. Secondly, all the hospital staffs in cooperation with Hospital Infection Committee are desirable to pay efforts to decrease the nosocomial infection.

• Journal of the Korean Society for information Management
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• v.34 no.1
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• pp.51-71
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• 2017

This study conducted a survey to measure recognition distance between the materials which are located separately in a children's library targeting 200 elementary school lower grade students, higher grade students, and school parents(adults). And compared recognition distance between the elements of materials of individual visitor group with multidimensional scaling and K-mean group analysis. Multidimensional Scaling (MDS) is a technique for projecting the cognitive state in space by evaluating the similarity or attribute of the analysis target. Even though it is mainly used for market diagnosis in marketing, It can also be applied to present an ideal physical layout plan by analyzing the distance. As a result of analysis, the main discoveries are as follows. First, elementary school students cognize child, baby and computer materials should be adjacent as a same group. But recognition of adults(school parents) is reflected by differing from elementary school students vastly. They cognize that computer materials should be formed as a special group separated from child and baby's materials. Second, elementary school higher graders and adults(school parents) groups also want to separate their main reading materials from baby's book, therefore They both want to secure silent reading space separating from baby. Third, as a result to confirming how this recognition distance system of materials is reflected in a real children's library through three children's libraries in Y-gu, Incheon, there is no library with structure according perfectly with a recognition system of a particular class, but a recognition system of adults and elementary school students is partially reflected because baby, child and computer materials, and baby and child materials are commonly separated and placed. It is difficult to insist that a recognition system of a visitor group, especially a recognition system of children is absolute consideration conditions in material placement of a children's library. However, understanding cognition of the user groups can be an important evidentiary factors to offer differentiated service space according to visitors and effective placement of the elements of library resources.

• Management & Information Systems Review
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• v.35 no.3
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• pp.173-193
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• 2016

The aim of this paper is to extend the TOPSIS(Technique for Order Preference by Similarity to Ideal Solution) to the fuzzy environment for solving the disaster recovery priority decision problem in credit bureau business information system. In this paper, the rating of each information systems and the weight of each criterion are described by linguistic terms which can be expressed in trapezoidal fuzzy numbers. Then, a vertex method is proposed to calculate the distance between two trapezoidal fuzzy numbers. According to the concept of the TOPSIS, a closeness coefficient is defined to determine the ranking order of all information systems. The combination between the fuzzy set and TOPSIS brings several benefits when compared with other approaches, such that the fuzzy TOPSIS require few fuzzy judgements to parameterization, which contributes to the agility of the decision process, it does not limit the number of alternatives simultaneously evaluated, and it does not cause the ranking reversal problem when a new alternative is included in the evaluation process. This paper is demonstrated with a real case study of a credit rating agency involving 9 evaluation criteria and 9 credit bureau business information systems assessed by 6 evaluators, and provide the systematic disaster recovery framework for BCP(Business Continuity Planning) to practitioner. Finally, this paper show that the procedure of the proposed fuzzy TOPSIS method is well suited as a decision-making tool for the disaster recovery priority decision problem in credit bureau business information system.

• Journal of Chest Surgery
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• v.33 no.1
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• pp.38-44
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• 2000

Background: We analyzed the result of the "Off-Pump" Coronary Artery Bypass grafting (OPCAB) performed to minimize inflammatory responses to cardiopulmonary bypass and myocardial ischemia during the aortic cross-clamp period. Material and Method : The preoperative diagnosis operative procedure mortality complication and postoperative course of the 50 patients who underwent OPCAB between January 1998 and September 1998 were analyzed. There were 34 males and 16 females with mean age of 60$\pm$9 years. Preoperative clinical diagnoses were unstable angina in 31(62%) stable angina in 16(32%) and clinical diagnoses were unstable angina in 31(62%) stable angina in 16(32%) and postinfarction angina in 3(6%) patients. Preoperative angiographic diagnoses were three-vessel disease in 25(50%) two-vessel disease in 5(10%) one-vessel disease in 7(14%) and left main disease in 13(26%) patients. There were elective operation in 37 cases and urgent operation in 13 cases. Result: The mean number of grafts was 3.2$\pm$1.2 per patient. Grafts used were unilateral internal thoracic artery in 43 greater saphenous vein in 37 radial artery in 7 bilateral internal thoracic arteries in 4 and right gastroepiploic artery in 2 cases Forty sequential anastomoses were performed in 18 cases. Vessels accessed were left anterior descending artery in 48 diagonal branch in 41 obtuse marginal branch in 30 right coronary artery in 24 posterior descending artery in 9 ramus intermedius in 5 and posterolateral branch in 5 anastomoses. Predischarge coronary angiography performed in 44 patients demonstrated the patency rate of 89.5%(128/143) Operative mortality was 2%(1/150) Postoperative complications were arrhythmia in 5 graft occlusion that needed reoperation in 4. perioperative myocardial infarction in 2 femoral artery thromboembolism developed after the application of IABP in 1 postoperative transient delirium in 1 peripheral compression neuropathy in 1 case. Sixteen patients(32%) were extubated at the operating room and the other patients were extubated at the mean 13$\pm$20 hours after the operation. Mean duration of stay in intensive care unit was 49$\pm$46 hours. Thirteen patients(26%) required blood transfusions perioperatively and the amount of perioperative blood transfusion was mean 0.70$\pm$1.36 pack/patient. Conclusion: OPCAB is suggested to be the ideal technique with less postoperative complication less hospitalization time and less cost.less cost.

• Information Systems Review
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• v.14 no.3
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• pp.115-129
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• 2012

A matchmaking system is a type of recommender systems that provides a set of dating partners suitable for the user by online. Many matchmaking systems, which are widely used these days, require users to specify their preferences with regards to ideal dating partners based on criteria such as age, job and salary. However, some users are not aware of their exact preferences, or are reluctant to reveal this information even if they do know. Also, users' selection standards are not fixed and can change according to circumstances. This paper suggests a new matchmaking system called Decision Tree based Matchmaking System (DTMS) that automatically adjusts the stated standards of a user by analyzing the characteristics of the people the user chose to contact. AMMS provides recommendations for new users on the basis of their explicit preferences. However, as a user's behavioral records are accumulated, it begins to analyze their hidden implicit preferences using a decision tree technique. Subsequently, DTMS reflects these implicit preferences in proportion to their predictive accuracy. The DTMS is regularly updated when a user's data size increases by a set amount. This paper suggests an architecture for the DTMS and presents the results of the implementation of a prototype.