• Journal of Korean Tunnelling and Underground Space Association
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• v.6 no.2
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• pp.85-100
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• 2004

In this paper the historical and technological developments of rock TBM and the technical classification of the machines proposed by ITA (International Tunnelling Association) are initially presented. Then the general criteria for the TBMs selection are discussed and at the end the limiting geological conditions for the application of TBMs are analysed.

• Journal of Society of Preventive Korean Medicine
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• v.14 no.2
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• pp.135-148
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• 2010

The major purpose of this study is to evaluate the classification of epileptic seizure types and epilepsy described in the literatures of both Western and East Asian medicine, especially based on the two criteria- a theoretical and a practical aspect of the classification systems. Currently, the 1981 classification of epileptic seizure types, and the 1989 classification of epilepsy syndromes and epilepsies which were proposed and approved by the International League Against Epilepsy(ILAE) have been generally accepted worldwide, although a variety of modifications have been consistently suggested. A large proportion of epilepsy cases cannot be easily classified as either 'focal' or 'generalized' or as either 'symptomatic' or 'idiopathic', so they fail to be precisely fallen into any of the ILAE categories. Terms and concepts used in the East Asian medicine are also inadequate to identify epileptic seizure types and epilepsy syndromes as discrete diagnostic entities because of ambiguities in definition and use. Therefore, this article suggests an alternative approach not only more helpful in understanding mechanism of epilepsy but also more easily applicable and effective in clinical value.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.2
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• pp.354-368
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• 2020

Accurate and versatile image data-sets are essential for fashion AI research and AI-based fashion businesses based on a systematic attribute classification system. This study constructs a color and texture attribute hierarchical classification system by collecting fashion item images and analyzing the metadata of fashion items described by consumers. Essential dimensions to explain color and texture attributes were extracted; in addition, attribute values for each dimension were constructed based on metadata and previous studies. This hierarchical classification system satisfies consistency, exclusiveness, inclusiveness, and flexibility. The image tagging to confirm the usefulness of the proposed classification system indicated that the contents of attributes of the same image differ depending on the annotator that require a clear standard for distinguishing differences between the properties. This classification system will improve the reliability of the training data for machine learning, by providing standardized criteria for tasks such as tagging and annotating of fashion items.

• Journal of the Korean Society for Library and Information Science
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• v.41 no.3
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• pp.127-144
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• 2007

The purpose of this study is to design the classification system for christian information resources on the internet in Korea. For this purpose, the study is investigated the divisions of Christianity of (1) library classifications: KDC, DDC, LCC, (2) portal sites: Daum, Empas, Naver, (3) Christianity Portal sites GodPeaple, Kidok, Godpia. And it compared the classification systems of KDC, DDC and GodPeaple. This study selected criteria as follows: comprehension, logicality, definiteness, efficiency and current topics. It suggested the classification system(draft) for christian information resources on internet which are composed of 10 classes.

• Education of Primary School Mathematics
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• v.21 no.2
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• pp.193-208
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• 2018

Classification is presented in the curriculum of elementary school mathematics, science, Korean language, and integrated subjects as the major function that needs to be learned. In addition, mathematics textbooks teach the classification as a basic process for organizing and interpreting collected materials in a separate unit. So, we analyzed the curriculum documents and textbooks of mathematics, science, Korean language, and integrated subjects. And we explored how to teach the classification in the context of mathematics subject. As a result, it is necessary to find different classification criteria in conjunction with detailed observation and investigation activities, and to teach that considering the circumstances and purpose of the classification. It also provided implications on how to revive converged classes that focus on big ideas and skills, which are commonly offered by various subjects.

• Journal of Sasang Constitutional Medicine
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• v.23 no.4
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• pp.429-444
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• 2011

1. Objective This study is aimed to present the effective classification of Soeumin symptomatology and the standardized signs for classification which can be applied for KCD, ICD and the insurance codification system. 2. Methods 1) Differentiate Soeumin symptomatology based on exterior-interior patterns, favorable-unfavorable patterns, and mild-severe-dangerous-urgent patterns. 2) Investigate the standard signs and symptoms to claasify Soeumin symptomatology based on exterior-interior patterns, favorable-unfavorable patterns, and mild-severe-dangerous-urgent patterns. 3. Results and Conclusions 1) The diagnosis criteria for Soeumin exterior-interior disease is based upon signs & symptoms of cold/heat, condition of stool, state of digestive system(such as digestion and appetite)among others. 2) The diagnosis criteria for Soeumin favorable-unfavorable disease is generally based upon whether the vital force of the spleen is damaged or not. More specifically, for the exterior disease, whether or not sweating is present. For the interior disease, whether or not dry mouth, body ache(a main symptom of the exterior state), and anxiousness are present. 3) For the Soeumin Wool-gwang disease, the diagnosis criteria of mild-severe disease is whether or not chills is present and the degree of body fever. 4) For Soeumin Mang-yang disease, the diagnosis criteria of dangerous-urgent disease is whether or not chills is, the degree of sweating and urine condition. 5) For the Soeumin Greater-Yin disease, Abdominal-pain bowel irritability pattern and Epigastric discomfort pattern are early state signs, Jaundice pattern is mild-state sign, edema & Greater-Yang disease Yin-toxin pattern are terminal state signs. 6) For the Soeumin interior disease, Abdominal-pain bowel irritability pattern and Epigastric discomfort pattern are of the dangerous state pattern, Jang-gual and Exuberant-Yin-repelling-Yang pattern are of the urgent state patterns.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.2
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• pp.203-211
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• 2014

In recent highly competitive business environment, collaboration has become one of the important business strategies for companies to survive and/or prosper. There are many different types of collaboration strategies, and it is crucial for companies to select the right ones according to the types of collaboration they require. To select the right type of collaboration options for business, in the past research, there have been two important criteria to classify collaboration types, namely governance (who makes key decisions - one kingpin participant or all players?) and membership (can anyone participate, or just select players?). In this research, we add a new classification criterion, recognition of collaboration purpose, which means whether collaborators know or do not know the purpose of collaboration in advance. Recently, we see many cases in which social media data are used in many unknown purposes a priori. In this research, we add such cases to develop new classification model.

• Information Systems Review
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• v.3 no.2
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• pp.245-260
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• 2001

While past knowledge management researches have focused on conceptualization and strategic implications, knowledge asset researches attempt to provide practical guidelines for companies. However, each research classifies knowledge asset from its own perspective, and thus it is not a trivial task to leverage consistent and inclusive criteria in managing corporate knowledge asset. The objective of this paper is to develop a knowledge asset classification schema on the basis of the three business functions: customer relationship management, product innovation, and infrastructure management. To demonstrate the feasibility of our schema, it has been applied to 9 Korean corporations. Knowledge assets are evaluated according to core capabilities, which are main drivers of sustainable competitive advantages. The results of case study show that the leveraged classification schema reflects current knowledge asset management and characteristics of corporations. Our finding is that most top-quality knowledge management corporations are likely to develop well-balanced knowledge asset.

• The Bulletin of The Korean Astronomical Society
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• v.36 no.2
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• pp.102.2-102.2
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• 2011

Sunspots usually appear in a group which can be classified by certain morphological criteria. In this study we examine the moments which are statistical parameters computed by summing over every pixels of contours, in order to quantify the morphological characteristics of a sunspot group. The moments can be additional characteristics to the sunspot group classification such as McIntosh classification. We are developing a program for image processing, detection of contours and computation of the moments using continuum images from SOHO/MDI. We apply the program to count the sunspot numbers from 303 continuum images in 2003. The sunspot numbers obtained by the program are compared with those by SIDC. The comparison shows that they have a good correlation (r=89%). We are extending this application to automatic sunspot classification (e.g., McIntosh classification) and flare forecasting.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.16 no.6
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• pp.62-70
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• 2007

In this study, the natural flaws in welding parts are classified using the signal pattern classification method. The storage digital oscilloscope including FFT function and enveloped waveform generator is used and the signal pattern recognition procedure is made up the digital signal processing, feature extraction, feature selection and classifier design. It is composed with and discussed using the distance classifier that is based on euclidean distance the empirical Bayesian classifier. Feature extraction is performed using the class-mean scatter criteria. The signal pattern classification method is applied to the signal pattern recognition of natural flaws.