• Journal of the Institute of Convergence Signal Processing
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• v.20 no.4
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• pp.226-231
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• 2019

A WTCI is an important criteria for evaluating an mount of patient's tongue coating in tongue diagnosis. However, Previous WTCI tongue coating evaluation methods is a most of quantitatively measuring ration of the extracted tongue coating region and tongue body region, which has a non-objective measurement problem occurring by exposure conditions of tongue image or the recognition performance of tongue coating. Therefore, a WTCI based on deep learning is proposed for classifying an amount of tonger coating in this paper. This is applying the AI deep learning method using big data. to WTCI for evaluating an amount of tonger coating. In order to verify the effectiveness performance of the deep learning in tongue coating evaluating method, we classify the 3 types class(no coating, some coating, intense coating) of an amount of tongue coating by using CNN model. As a results by testing a building the tongue coating sample images for learning and verification of CNN model, proposed method is showed 96.7% with respect to the accuracy of classifying an amount of tongue coating.

• International Journal of Costume and Fashion
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• v.10 no.1
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• pp.81-91
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• 2010

The purpose of this study was to investigate differences in purchase behaviors for school uniforms among adolescent consumer groups which were segmented by the type of retailer they patronized. An online survey was carried out and 907 data sets were analyzed using SPSS. The results support that classifying adolescent consumers according to what type of retailers they patronize lead to a proper understanding of the segmentation of the school uniform market. The adolescent consumers consisted of five groups categorized by the retailer types. These types included special stores, department stores, discount stores, small custom-made stores and stores designated by schools. The results also indicated that consumer groups segmented by retailer patronage differ significantly in their use of multimedia information sources. Five consumer groups showed significant differences in two purchase evaluative criteria: utilities and promotions.

• International Journal of Contents
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• v.13 no.2
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• pp.66-74
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• 2017

Patent classification is becoming more critical as patent filings have been increasing over the years. Despite comprehensive studies in the area, there remain several issues in classifying patents on IPC hierarchical levels. Not only structural complexity but also shortage of patents in the lower level of the hierarchy causes the decline in classification performance. Therefore, we propose a new method of classification based on different criteria that are categories defined by the domain's experts mentioned in trend analysis reports, i.e. Patent Landscape Report (PLR). Several experiments were conducted with the purpose of identifying type of features and weighting methods that lead to the best classification performance using Support Vector Machine (SVM). Two types of features (noun and noun phrases) and five different weighting schemes (TF-idf, TF-rf, TF-icf, TF-icf-based, and TF-idcef-based) were experimented on.

• Electronics and Telecommunications Trends
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• v.34 no.4
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• pp.117-128
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• 2019

As companies use increasing amounts of data more and more, people are more concerned about protecting their privacy. Many researches studies have been conducted with a to securely view of manage managing and share sharing private information securely using the Bblockchain technology. These studies have suggested a Bblockchain-based approaches to provide efficiency, scalability, data ownership, and systematic data lifecycles that were are the limitations of lacking in traditional access controls. More Sspecifically, these studies have introduced a new access control models, distributed hash tables, trusted execution environments, and hierarchical ID-based cryptographic mechanisms to provide reliable access control even in complex environments such as IoT Internet of Things. In this paperstudy, we present the criteria to for classifying the functional characteristics of the Bblockchain-based access control methods and derive the differentiateion between of each the several methods.

• Structural Monitoring and Maintenance
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• v.11 no.2
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• pp.101-126
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• 2024

To avoid irregularities in buildings, design codes worldwide have introduced detailed guidelines for their check and rectification. However, the criteria used to define and identify each of the plan and vertical irregularities are specific and may vary between codes of different countries, thus making their implementation difficult. This short communication paper proposes a novel approach for quantifying different types of structural irregularities using a common parameter named as unified identification factor, which is exclusively defined for the columns based on their axial loads and tributary areas. The calculation of the identification factor is demonstrated through the analysis of rectangular and circular reinforced concrete models using ETABS v18.0.2, which are further modified to generate plan irregular (torsional irregularity, cut-out in floor slab and non-parallel lateral force system) and vertical irregular (mass irregularity, vertical geometric irregularity and floating columns) models. The identification factor is calculated for all the columns of a building and the range within which the value lies is identified. The results indicate that the range will be very wide for an irregular building when compared to that with a regular configuration, thus implying a strong correlation of the identification factor with the structural irregularity. Further, the identification factor is compared for different columns within a floor and between floors for each building model. The findings suggest that the value will be abnormally high or low for a column in the vicinity of an irregularity. The proposed factor could thus be used in the preliminary structural design phase, so as to eliminate the complications that might arise due to the geometry of the structure when subjected to lateral loads. The unified approach could also be incorporated in future revisions of codes, as a replacement for the numerous criteria currently used for classifying different types of irregularities.

• Journal of the Korean Institute of Gas
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• v.26 no.6
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• pp.1-8
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• 2022

With the development of the chemical industry, related accidents frequently occur, and fire and explosion accidents account for a large proportion. In order to prevent fire and explosion accidents, places that handle flammable liquids are classified according to the Korean Industrial Standards (KSC IEC60079-10-1) in accordance with the relevant laws. The same applies to laboratories dealing with flammable liquids. This paper verified the applicability of the procedure for classifying explosion hazard areas according to the Korean Industrial Standards when flammable liquid release from the laboratory to form an evaporative pool, and also verified the effect of a change in ventilation speed on the release characteristics. Through this, it was found that it was difficult to apply the criteria for the classification of places at risk of explosion according to the Korean Industrial Standards, and special safety measures should be prepared.

• Korean Journal of Community Nutrition
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• v.5 no.2
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• pp.225-235
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• 2000

Service quality has become an important factor to meet customer satisfaction in the food service industry where competition is getting severe. Organizations are focused upon strengthening customer loyalty through customer satisfaction. Therefore, this study, taking customers as subjects, is intended to analyze factors affecting customer loyalty, on the basis of service quality satisfaction. In doing. so, the analysis has been done with 232 customers who are purchasing service from the food services industry, for general information, and service quality expectation, service quality satisfaction and overall satisfaction. The results of the study are as below. 1) From a factor analysis, the service quality expectation level of customer has been categorized into 4 factors, which are named General ′General management ′, ′Food′, ′Reliability′and ′Reputation′. 2) From the factor analysis, the service quality satisfaction level of customer has been categorized into 6 factors, which are named ′Employee attitude′, ′Food′, ′Reliability′, ′Atmosphere′, ′Reputation′ and ′Price′. 3) After classifying customers into 3 groups according to two criteria-"will buy the service again" and "will suggest to others", a comparison has been done for the service quality expectation dimension of customers by each customer group. The result shows that the group having both the "will buy the service again" and "will buy the service again "and "will suggest to others" criteria, that is, with higher customer loyalty, tend to have higher point than other group in factors of ′Food′, ′Reliability′, ′Reputation′(p〈.05). 4) As per the dimension of customer\`s service quality satisfaction level, factors like ′Employee attitude′, ′Food′, ′Reliability′, ′Atmosphere′, ′Reputation′, and ′Price′have shown differences according to each loyalty group(P〈.001). 5) Customers′overall satisfaction level according to each customer loyalty group has been found to be more important for the group having a higher loyalty level(p〈.001) 6) From the discriminant analysis with employing judging variables, such as the customer′s service quality expectation level, service quality satisfaction level and general satisfaction level, customer loyalty groups have been identified as accurately as 68.9% of the explanatory power.

• Korean Journal of Clinical Pharmacy
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• v.16 no.2
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• pp.123-130
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• 2006

The study was aimed to recommend the ways for improving regulatory system of quasi-drugs in governmental authority by comparing with other countries. According to the regulations, the scope of quasi-drugs includes 3 categories of 1) the health aids made of textile, rubber and paper, 2) the health aids which have very minimal effects or no any effects on humans, and 3) disinfectants and pesticides. In US, these quasi-drugs in Korea are classified into 5 categories of medical device, cosmetics, OTC drugs, dietary supplements and pesticides. To improve quasi-drugs administration in Korea, it is concluded that several measures should be implemented : 1) establish clear criteria for classifying into quasi-drugs and more detailed guidelines on designation of quasi-drugs, 2) reform current regulations to meet 3-categories characteristics, supplement detailed guidelines on quasi-drugs administration for effective application process, and update relevant regulations for efficacy, safety and quality, 3) update quasi-drug monographs, 4) re-evaluate current classification of individual quasi-drugs, 5) develop comprehensive list by ingredients, 6) reform post-marketing management system for safety and quality, 7) strengthen the review agency function by increasing the number of experts, 8) develop the database for quasi-drugs for effective information management.

• Journal of the Korean Society for information Management
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• v.21 no.2
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• pp.89-106
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• 2004

There are lots of Web materials in the field of medicine and many search engines classify the medical materials on the Web through directories. But the organization of these directories are wanting in consistency and systematization. In order for manager of search engines to organize medical materials on the Web systematically, this paper suggests several guidelines. NLMC, a special classification system for medicine, need to be applied to develop directories of medicine in search engines. Also, items of the directories should be arranged based on the relevance of subjects among subfields of medical science. For classifying an item to several directories repeatedly, clear criteria should be established. In addition to, controlled vocabularies or glossaries for medicine such as MeSH and the English-Korean, Korean-English Medical Terminology Collection should be used for selection of the name of items in medical directories.

• Environmental Engineering Research
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• v.12 no.5
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• pp.203-210
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• 2007

Since the emissions composition from the household products have potentially been associated with health risks for building occupants, the chemical composition emitted from the products should be surveyed. The current study identified the emission composition for 42 liquid household products, using a purge-and-trap method. This evaluation was done by classifying the household products into five product classes (deodorizers, household cleaners, color removers, pesticides, and polishes). Nineteen compounds were chosen on the basis of selection criteria. The quality control program for purge-and-trap and analytical systems included tests of laboratory blank Tenax traps and blank water samples, and the determination of calibration equation, measurement precision, method detection limit (MDL), and recovery. The number of chemicals varied according to the product categories, ranging from 4 for the product category of bleaches to 12 for the product categories of air fresheners and nail color removers. For all product categories, the emission composition and concentrations varied broadly according to product. It is noteworthy that most household products emit limonene: 19 of 25 cleaning products; 5 of 6 deodorizers; 1 of 3 pesticides; 3 of 3 color removers; and 4 of 5 polishes. It was suggested that the use of household products sold in Korea could elevate the formation of secondary toxic pollutants in indoor environments, by the reaction of limonene with ozone, which entered indoor environments or might be generated by indoor sources such as electronic air cleaning devices and copying machines.