• Korean Journal of Agricultural Science
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• v.42 no.2
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• pp.105-109
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• 2015

Andean potato latent virus (APLV) is a phytopathogenic virus that belongs to the Group IV (+) sense ssRNA viruses of the genus Tymovirus. It mainly infects potatoes and is specified as a controlled quarantine virus in Korea. In this study, two primer sets of RT-PCR and nested PCR [set 2 ($404{\rightarrow}259bp$) and set 23 ($501{\rightarrow}349bp$)], were selected, which can rapidly and accurately diagnose APLV in quarantine sites. In addition, a modified-positive control plasmid is development, can possible verification of laboratory contamination in diagnosis of APLV detection. The PCR-base system developed in this study is expected to diagnose APLV and contribute to the plant quarantine in Korea.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.21 no.3
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• pp.253-263
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• 2008

Extension of IFC data model for steel bridge members is proposed to represent detailed design information. First of all, the design data items and their representation method are classified by analyzing primary references such as design specification, structural calculation documents and shop drawings. Some of the classified items are enough to be represented by the existing IFC model. However, the need of additional model is noted to systematically represent the design information for other items such as stiffener, diaphragm, joint system, and shear connector. An inheritance relations and properties for added model are also defined. The application program based on the proposed data model is developed. In the end, by loading the application program on the AutoCAD 2002 program, end-users can input the design information of steel bridge members. The applicability and efficiency of the proposed data model and the program are verified by checking the section area, intervals, and interferences.

• Journal of Digital Convergence
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• v.13 no.9
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• pp.105-114
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• 2015

This study aims 1) to identify distinctive consumer groups according to their perception of benefits and costs of Online Behavioral Advertising(OBA), 2) to explore differences among them, and 3) to investigate antecedent variables that affect the consumers' perception of OBA. Online survey data collected from 1,000 online users. The findings of this study are as follows. First, the result of cluster analysis identified four distinctive consumer groups according to the levels of perceived benefits and costs of OBA: 'Indifferent group', 'cost-centered group', 'benefit-centered group', and 'Benefit-cost balanced group'. Second, four consumer groups showed differences in their demographics, advertising related variables, privacy related variables, and technology related variables. Third, according to multinomial logistic analysis, it was found that there were different factors affecting consumers' perception of benefits and costs of OBA.

• Journal of Sericultural and Entomological Science
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• v.46 no.1
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• pp.18-22
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• 2004

For the purpose of accumulating the research outcomes on Cordyceps and retrieving them efficiently, this study was carried out to identify and standardize the key factors in cultivating Paecilomyces tenuipes and classifying characteristics of Cordyceps. The key factors in cultivating Paecilomyces tenuipes are divided into three major sections according to its stage: silkworm rearing period, cultivation period, and preservation period. Silkworm rearing and cultivation sections are divided into three sub-sections: temperature, humidity, and duration. There are other factors including rearing tools, equipment etc. The key factors in classifying characteristics of Cordyceps are divided into 14 items, 41 divisions on the basis of its general features and its taxonomic features. 14 items contain general article, host, perithecium, conidia, etc. 41 divisions are partitioned by its size and color. The classification system of Kobayasi (1940) or of Shimizu (1994) was adopted for the key factors of Cordyceps species and their anarmorphs.

• Journal of Digital Contents Society
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• v.16 no.5
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• pp.671-680
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• 2015

The Joint Bayesian[1] method was published in 2012. Since then, it has been used for binary classification in almost all state-of-the-art face recognition methods. However, no improved methods have been published so far except 2D-JB[2]. In this paper we propose an improved version of the JB method that considers the features of both the given face image and its mirror image. In pattern classification, it is very likely to make a mistake when the value of the decision function is close to the decision boundary or the threshold. By making the value of the decision function far from the decision boundary, the proposed method reduces the errors. The experimental results show that the proposed method outperforms the JB and 2D-JB methods by more than 1% in the challenging LFW DB. Many state-of-the-art methods required tons of training data to improve 1% in the LFW DB, but the proposed method can make it in an easy way.

• Journal of Dental Rehabilitation and Applied Science
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• v.34 no.1
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• pp.10-16
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• 2018

Purpose: The purpose of this study was to evaluate distalizing effects from the Pendulum appliance on vertical component of craniofacial structures. Materials and Methods: 20 Patients who visited for orthodontic treatments are assigned to two groups. Group I, SN-MP > 37 degrees are showing hyperdivergent pattern. Group II, 29 < SN-MP < 37 degrees are showing mesocephalic pattern. Each group are consisted of 10 people. Results and Conclusions: Differences between skeletal classifications result in significant differences at labioversion of lower incisors and distalized amount, which is larger at Group I (P <.05). Group II has only shown significant distalized molars (P < .05). Labioversion of lower incisors has not shown significant change. Skeletal anchorage-assisted Pendulum appliance doesn't deteriorate vertical component nor significantly improve.

• The Journal of the Korea institute of electronic communication sciences
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• v.5 no.3
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• pp.304-308
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• 2010

In this paper, we propose a new method of recognizing the vehicle license plate using color space, morphological characteristics and ART2 algorithm. Morphological characteristics of old and/or new style vehicle license plate among the candidate regions are applied to remove noise areas using 8-directional contour tracking algorithm, then follow by the extraction of vehicle plate. From the extracted license plate area, plate morphological characteristics of each region are removed. After that, labeling algorithm to extract the individual characters are then combined. The classified individual character and numeric codes are applied to the ART2 algorithm for the learning and recognition. In order to evaluate the performance of our proposed extraction and recognition of vehicle license method, we have run experiments on 100 green plates and white plates. Experimental results shown that the proposed license plate extraction and recognition method was effective.

• Archives of design research
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• v.15 no.2
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• pp.115-124
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• 2002

There has been no enough consistency about the question of 'Is it possible for golden section to be applied to product design\ulcorner'In addition, There has been no near answer about 'What is proportion\ulcorner and 'How can proportion be approached\ulcorner About this matter, this study identified various types of proportion through experiment design and consumer surrey. According to the results of this study, various and different types of proportion exist in product design and therefore, proportion in product design couldn't be considered by one-dimensional aesthetic element. This kind of study about the types of proportion could give an good answer abort the matter of 'Is it possible for golden section to be applied to product design\ulcorner'and it's expected practically to give a useful insight to the approach of Product design in Which proportion is considered. In addition, preferred proportion structure is different according to the consumer characteristic, successful design strategy such as niche market penetration could be performed if designers classify consumer characteristic systematically.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.11
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• pp.7957-7963
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• 2015

R&D trend for Auxiliary Power Supply(APU) of electric vehicle can be well understood by analyzing patents at home and abroad. Based on this trend analysis, domestic technology development direction is proposed. To get technique trend, patents of Korea, Japan, Europe and America published until February of 2014 are analyzed by WIPS DB. First, power converter and transformer two big category are classified. Power converter can be classified into resonant DC to DC converter and resonant Half bridge inverter; transformer can be classified into high frequency transformer, ferrite transformer and matching transformer. By analyzing R&D trend of different counties, companies and years, specific technology needed to be developed and trend of technology can be accurately grasped.

• KIPS Transactions on Computer and Communication Systems
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• v.4 no.10
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• pp.349-360
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• 2015

In recent year, phishing attacks are flooding with services based on the web technology. Phishing is affecting online security significantly day by day with the vulnerability of web pages. To prevent phishing attacks, a lot of anti-phishing techniques has been made with their own advantages and dis-advantages respectively, but the phishing attack has not been eradicated completely yet. In this paper, we have studied phishing in detail and categorize a process of phishing attack in two parts - Landing-phase, Attack-phase. In addition, we propose an phishing detection methodology based on web sites heuristic. To extract web sites features, we focus on URL and source codes of web sites. To evaluate performance of the suggested method, set up an experiment and analyze its results. Our methodology indicates the detection accuracy of 98.9% with random forest algorithm. The evaluation of proof-of-concept reveals that web site features can be used for phishing detection.