• Journal of KIISE:Software and Applications
• /
• v.32 no.12
• /
• pp.1260-1270
• /
• 2005

Support Vector Machines (SVM) is well known for a representative learner as one of the kernel methods. SVM which is based on the statistical learning theory shows good generalization performance and has been applied to various pattern recognition problems. However, SVM is basically to deal with a two-class classification problem, so we cannot solve directly a multi-class problem with a binary SVM. One-Per-Class (OPC) and All-Pairs have been applied to solve the face recognition problem, which is one of the multi-class problems, with SVM. The two methods above are ones of the output coding methods, a general approach for solving multi-class problem with multiple binary classifiers, which decomposes a complex multi-class problem into a set of binary problems and then reconstructs the outputs of binary classifiers for each binary problem. In this paper, we introduce the output coding methods as an approach for extending binary SVM to multi-class SVM and propose new output coding schemes based on the Error-Correcting Output Codes (ECOC) which is a dominant theoretical foundation of the output coding methods. From the experiment on the face recognition, we give empirical results on the properties of output coding methods including our proposed ones.

• Journal of the Korean Society for Library and Information Science
• /
• v.54 no.3
• /
• pp.165-186
• /
• 2020

Although BIBFRAME is recognized as a new bibliographic standard that can replace the existing MARC structure, the vastness of the descriptive items shows many limitations to be applied in library communities. Thus this study proposed separating the descriptive levels of BIBFRAME as a way to enhance the applicability of BIBFRAME. The descriptive level of BIBFRAME was divided into three stages: core, standard, and detailed levels based on the bibliographic area of ISBD 2011. This separation was semantically implemented using RDF/RDFS syntax. The levels of description in BIBFRAME was defined as Class Granularity and Class Element, and the Property Relation was defined for the linkage between the Classes defined and the BIBFRAME. By applying this syntactic structure, the relationships between the BIBFRAME descriptive items separated by each descriptive level could be linked with each other. This approach is expected to ensure applicability in the creation and sharing of bibliographic data using BIBFRAME.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.24 no.6
• /
• pp.646-650
• /
• 2014

In this paper, in order to avoid the deterioration of the pattern classification performance which results from the curse of dimensionality, we propose a new feature selection method. The newly proposed feature selection method is based on Fuzzy C-Means clustering algorithm which analyzes the data points to divide them into several clusters and the concept of a function with fuzzy numbers. When it comes to the concept of a function where independent variables are fuzzy numbers and a dependent variable is a label of class, a fuzzy number should be related to the only one class label. Therefore, a good feature is a independent variable of a function with fuzzy numbers. Under this assumption, we calculate the goodness of each feature to pattern classification problem. Finally, in order to evaluate the classification ability of the proposed pattern classifier, the machine learning data sets are used.

• The Journal of Natural Sciences
• /
• v.4
• /
• pp.191-220
• /
• 1991

A new texture segmentation-based image coding technique which performs segmentation based on roughness of textural regions and properties of the human visual system (HVS) is presented. This method solves the problems of a segmentation-based image coding technique with constant segments by proposing a methodology for segmenting an image texturally homogeneous regions with respect to the degree of roughness as perceived by the HVS. The fractal dimension is used to measure the roughness of the textural regions. The segmentation is accomplished by thresholding the fractal dimension so that textural regions are classified into three texture classes; perceived constant intensity, smooth texture, and rough texture. An image coding system with high compression and good image quality is achieved by developing an efficient coding technique for each segment boundary and each texture class. For the boundaries, a binary image representing all the boundaries is created. For regions belonging to perceived constant intensity, only the mean intensity values need to be transmitted. The smooth and rough texture regions are modeled first using polynomial functions, so only the coefficients characterizing the polynomial functions need to be transmitted. The bounda-ries, the means and the polynomial functions are then each encoded using an errorless coding scheme. Good quality reconstructed images are obtained with about 0.08 to 0.3 bit per pixel for three different types of imagery ; a head and shoulder image with little texture variation, a complex image with many edges, and a natural outdoor image with highly textured areas.

• Korean Journal of Food Science and Technology
• /
• v.31 no.6
• /
• pp.1453-1457
• /
• 1999

The optimal conditions of alkali isomerization to obtain conjugated linoleic acid (CLA) concentrate from vegetable oils which have antioxidant and anticarcinogenic properties were studied. The result of alkali isomerization of various vegetable oils indicated that CLA content of safflower oil which contains more linoleic acid than any other vegetable oils was the highest of all experimental vegetable oils. During alkali isomerization, the amount of cis-9, trans-11 CLA and total CLA content in safflower oil was the highest at $8{\sim}11%$ KOH concentration and $180{\sim}185^{\circ}C$. But heating time had no effect on CLA formation after $20{\sim}40$ minutes. As a result of alkali isomerization of neutral lipid, glycolipid and phospholipid in safflower oil, CLA content of neutral lipid class was higher than any other lipid classes. By urea treatment and HPLC fractionation, total CLA content in alkali-isomerized safflower oil increased to 95.4% from 78.9%.

• Korean Journal of Microbiology
• /
• v.34 no.4
• /
• pp.194-199
• /
• 1998

Bacterial diversity was determined by amplification and sequencing of 16S rDNA at Tancheon and Jungrang in Han river. Twenty-seven clones constructed were divided 7 groups using RFLP. Fifteen clones were classified 4 groups in Tancheon and the group (HT-1 clone) including many clones was affiliated a high similarity with Aerobacter cryaerophilus (the class Proteobacteria including members of the delta subdivisions). The other two groups (HT-6 and HT-9 clone) including several clones were classified with the class Cytophagales in Tancheon. Twelve clones were classified 3 groups in Jungrang and the group (HJ-1 clone) including many clones was affiliated a high similarity with Sphingomonas sp. (the class Proteobacteria including members of the alpha subdivisions). As a whole results, the class Proteobacteria (alpha, beta and delta subdivision), the order Cytophagales, and the order Actinomycetales were detected.

• Safety and Health at Work
• /
• v.5 no.4
• /
• pp.186-190
• /
• 2014

Background: Physical exercise during leisure time is known to increase physical capacity; however, the long-term effects on work ability and work strain are inconclusive. The aim of this study was to investigate the effects of a 6-month physical exercise program on work ability and work strain after 6 months and 30 months, among women with menopausal symptoms at baseline. Methods: A questionnaire including questions on work ability and work strain was mailed in the beginning, at 6 months and after 30 months after the intervention to occupationally active women participating in a randomized controlled study on physical exercise and quality of life. The intervention included aerobic exercise training 4 times per week, 50 minutes per session. Work ability was measured with the Work Ability Index (WAI) and with questions about physical and mental work strain. Results: Women aged 47-62 years (N=89) who were occupationally active at baseline were included in the analyses. The increase in WAI from baseline to the end of the exercise intervention (6 months) was statistically significantly greater among the intervention group than among the control group (regression coefficient 2.08; 95% confidence interval 0.71-3.46). The difference between the groups persisted for 30 months. No significant short- or long-term effects on physical and mental work strain were found. Conclusion: A 6-month physical exercise intervention among symptomatic menopausal women had positive short-term as well as long-term effects on work ability.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.18 no.6
• /
• pp.121-126
• /
• 2018

IEEE 802.1 TSN TG is developing standards for end-to-end delay bounds and zero packet loss based on Ethernet technology. We focus on packet forwarding techniques. TSN packet forwarding techniques can be classified into Synchronous and Asynchronous framework. Synchronous approach allocates fixed time period for a class, yet is complex for large networks. Asynchronous approach provides delay guarantee by regulator-scheduler pair, yet is unnecessarily complex, too. We propose network components for TSN Asynchronous architecture, which remove the complexity of maintaining flow state for regulation decisions. Despite such a simplicity, the proposed architecture satisfies the TSN's delay requirements provided the limited high priority traffic's maximum packet length.

• Journal of Digital Convergence
• /
• v.19 no.7
• /
• pp.51-56
• /
• 2021

This paper studies VPBL(Various PBL) models, applies them to classes, and analyzes results so that students of various majors can design and implement problems according to the characteristics of their majors in order to improve problem solving in education. VPBL performs the process of designing and implementing problems that reflect the characteristics of the major by applying constraints to the professor's programming language. The professor performs mini_class in the process of solving the designed problem and then shares it throughout. VPBL model apply results, The traditional teaching method was 3.51 points and the application of the VPBL model was 4.52 points, and "interaction, understanding of learning contents, and acquiring knowledge related to curriculum" were improved. In addition, VPBL has the advantage of expanding the learning range in the solving process as it is based on various problem solving, which has the effect of expanding the learning range compared to existing class models. Research on the expanded application of various SW liberal education in the future is required.

• The Korean Journal of Applied Statistics
• /
• v.35 no.1
• /
• pp.19-33
• /
• 2022

With the explosive growth of social media, its abundant text-based data generated by web users has become an important source for data analysis. For example, we often witness online movie reviews from the 'Naver Movie' affecting the general public to decide whether they should watch the movie or not. This study has conducted analysis on the Naver Movie's text-based review data to predict the actual ratings. After examining the distribution of movie ratings, we performed semantics analysis using Korean Natural Language Processing. This research sought to find the best review rating prediction model by comparing machine learning and deep learning models. We also compared various regression and classification models in 2-class and multi-class cases. Lastly we explained the causes of review misclassification related to movie review data characteristics.