• Journal of Korean Medical classics
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• v.23 no.1
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• pp.163-186
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• 2010

Objective and Background : Attempt to express knowledge by IT is the current of the times, knowledge of the oriental medicine have to meet the needs of the times. It takes 'classification system of the oriental medicine terms' and 'system of the predicate' for explaining the relation between concepts to express knowledge by IT technique. Researches for 'classification system of the oriental medicine terms' are in progress already, researches for 'system of the predicate' are insufficient. Subject of study : We proceeded to study of the predicate in Idongwon(李東垣)'s "Biwiron(脾胃論)" has clear theory system and considerable influence upon knowledge of the oriental medicine for studying 'system of the predicate' which expresses knowledge of the oriental medicine in early stage. Method : Acquire Chinese play a predicate part in "Biwiron(脾胃論)", translate the Chinese to answer the context, group the similar predicate, decide representative predicate of group. And attempt to make classification system of the representative predicate with Term management system based on SQL Server 2005. Results and Considerations : I classify the predicate which predicate diagnosis, treatment, symptoms and knowledge of the oriental medicine into existence, condition, cognition and will. This classification seems to be useful to explain factors which have an effect on demonstration and treatment.

• Journal of Physiology & Pathology in Korean Medicine
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• v.22 no.4
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• pp.718-724
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• 2008

In order to classify diseases of oriental medicine in liaison with International Classification of Diseases, there should be intermediation and sharing concepts between the two in addition to proper classification. Classification units were settled for differentiation of diseases or syndromes first. And second, the standard forms of disease classification system were proposed. Third, this classification system was made of serial groupings of syndrome under the traditional disease name. Fourth, the location of disease and the interrelation between different syndromes were depicted with diagram in order to define more clearly. As the results and conclusion, The classification units were composed of 2 categories; topology, organ, meridian, somatic structure, body fluid units for description and various regulatory unit terms of western and traditional medicine for explanation. The mixed classification model of western diseases and traditional syndromes(證) was adopted as a fundamental classification system containing disease by exterior pathogen, systemic internal diseases, psychoneuronal diseases, metabolic diseases, diseases of sense organs, supportive structure diseases, obstetric-gynecology diseases, child diseases, 4-type constitutional diseases. And those were differentiated with generalized, localized, functional, oncogenic, environmental features in detail. The cause, site, condition, dispositions must be expressed in each disease name too. The types of diagnosis using classification system are principal and final diagnosis, principal procedure, main conditions, and these are applied to this Korean classification system equally. For more clarification of differentiation, a plane topological map and three dimensional coordinates were proposed to manifest the location, features and relation of disease itself or each other.

• Journal of Korean society of Dental Hygiene
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• v.10 no.1
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• pp.173-183
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• 2010

Objectives : The purpose of this study was to provide basic materials for defining educational direction of dental hygiene department and establishing the instruction to improve direction consulting and academic effect of dental hygiene department student. Methods : The researcher surveyed the relation among job aptitude, academic ability and academic performance by selecting 131 dental hygiene department students of P university as study targets. Results : For high school classifications, direction searches and academic abilities of dental hygiene department students of P university, it was found that classical high school was 68.7% and vocational high school was 31.3%. For job aptitude, social type was 58.0% and artistic type was 26.0% so they were usual. For academic ability, interpersonal relation($12.78{\pm}1.34$), music/rhythm was($12.32{\pm}1.09$) and natural($12.32{\pm}1.00$) showed high scores in order over the first, the second and the third field and language/vocabulary(22.6%) and music/rhythm(21.6%) was the next. For academic performance depending on high school classification, job aptitude and academic ability, there was a significant difference in high school classification by classical high school($86.55{\pm}8.21$) and vocational high school($85.34{\pm}11.31$)(p<0.05) and there was also a significant difference in job aptitude by social type($85.45{\pm}9.42$) and artistic type($88.41{\pm}6.93$)(p<0.05). In the mutual relation between academic ability and academic performance, the high academic ability score in the first field was led to the high score in the second and the third field, showing significant mutual relation(p<0.00). Conclusions : This research has been accomplished by college students of dental hygeine department, so you have to consider before generalizing these results. Therefore it is required to research more, likewise using a comparison with other students or it should be conducted by general people.

• Journal of the Korean Society for Library and Information Science
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• v.38 no.4
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• pp.85-104
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• 2004

This study is supposed to the way to add and enlarge the elements related to educational domain in metadata of school library information system (DLS) by using the concept of learning object which the education information service agencies have adapted. This study is to propose the methods which can be accessed according to the units of learning content in order that they can be applied to the teaching and learning situations, and describe and index the total traits of interior data elements included in the information resources. Thus, the metadata of the existing DLS through the additional elements : , , and was made to access the information resources according to the teaching and learning situations and to accept the concept of interior learning units by means of the element.

• Journal of the Korea Society for Simulation
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• v.18 no.4
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• pp.197-206
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• 2009

The medical information system is an effective medical diagnosis assistance system which offers an environment in which medial images and diagnosis information can be shared. However, this system can only stored and transmitted information without other functions. To resolve this problem and to enhance the efficiency of diagnostic activities, a medical image classification and retrieval system is necessary. The medical image classification and retrieval system can improve efficiency in a medical diagnosis by providing disease-related images and can be useful in various medical practices by checking diverse cases. However, it is difficult to understand the meanings contained in images because the existing image classification and retrieval system has handled superficial information only. Therefore, a medical image classification system which can classify medical images by analyzing the relation among the elements of the image as well as the superficial information has been required. In this paper, we propose the method for learning and classification of brain MRI, in which the superficial information as well as the spatial information extracted from images are used. The superficial information of images, which is color, shape, etc., is called low-level image information and the logical information of the image is called high-level image information. In extracting both low-level and high-level image information in this paper, the anatomical names and structure of the brain have been used. The low-level information is used to give an anatomical name in brain images and the high-level image information is extracted by analyzing the relation among the anatomical parts. Each information is used in learning and classification. In an experiment, the MRI of the brain including disease have been used.

• The Journal of the Korea Contents Association
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• v.18 no.10
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• pp.443-452
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• 2018

With the explosively increasing intellectual property rights, securing technological competitiveness of companies is more and more important. In particular, since patents include core technologies and element technologies, patent analysis researches are actively conducted to measure the technological value of companies. Various patent analysis studies have been conducted by the International Patent Classification(IPC), which does not include the latest technical classification, and the technical classification accuracy is low. In order to overcome this problem, the Cooperative Patent Classification(CPC), which includes the latest technology classification and detailed technical classification, has been developed. In this paper, we propose a model to analyze the classification of the technologies included in the patent by using the detailed classification system of CPC. It is possible to analyze the inventor's patents in consideration of the relation, importance, and efficiency between the detailed classification schemes of the CPCs to extract the core technology fields and to analyze the details more accurately than the existing IPC-based methods. Also, we perform the comparative evaluation with the existing IPC based patent analysis method and confirm that the proposed model shows better performance in analyzing the inventor's core technology classification.

• Korean Journal of Remote Sensing
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• v.26 no.3
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• pp.317-324
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• 2010

In recent years, many automatic classification approaches have been employed. An automatic classification method can be effective, time-saving and can produce objective results due to the exclusion of operator intervention. This paper proposes a classification method based on automated training for high resolution multispectral images using ancillary data. Generally, it is problematic to automatically classify high resolution images using ancillary data, because of the scale difference between the high resolution image and the ancillary data. In order to overcome this problem, the proposed method utilizes the classification results of a Landsat image as a medium for automatic classification. For the classification of a Landsat image, a maximum likelihood classification is applied to the image, and the attributes of ancillary data are entered as the training data. In the case of a high resolution image, a K-means clustering algorithm, an unsupervised classification, was conducted and the result was compared to the classification results of the Landsat image. Subsequently, the training data of the high resolution image was automatically extracted using regular rules based on a RELATIONAL matrix that shows the relation between the two results. Finally, a high resolution image was classified and updated using the extracted training data. The proposed method was applied to QuickBird and SPOT-5 images of non-accessible areas. The result showed good performance in accuracy assessments. Therefore, we expect that the method can be effectively used to automatically construct thematic maps for non-accessible areas and update areas that do not have any attributes in geographic information system.

• Journal of the Korean Society for information Management
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• v.4 no.2
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• pp.47-61
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• 1987

Main advantages of an analytico-synthetic scheme are its flexibility and its ability to cope with new subjects as they arise. Accordingly the synthetic scheme can keep pace with changes in knowledge more easily than an enumerative scheme because new subjects often merely involve fresh combinations of basic unit parts already listed. The findings of the study are as follows: 1. Each part of the components of a complex subject is called phase in CC and we are able to obtain three levels of phase relations such as intra-facet phase relation, intra-array - phase relation and inter-subject phase relation. 2. Different digits are used in CC to represent different varieties of phase relation in each levels. 3. The mode of phase relation may be taken to indicate the strength of bond between the phase and may form a new main subject. 4. In the rules and grammar of the phase relation the extension of two-phase subject is possible up to any extent theoritically. 5. Phase relation in DDC was introduced in the 18th edition, but there was no provision for the kind and the level of phase relation. 6. Colon(:) of the UDC is used to represent phase relation but there was also no provision for the kind and the level of phase relation.

• Journal of Information Science Theory and Practice
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• v.5 no.3
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• pp.15-30
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• 2017

In some situations, you need information in order to solve a problem that has occurred. In information science, user needs are often described through very specific examples rather than through a classification of situation types in which information needs occur. Furthermore, information science often describes general human needs, typically with a reference to Maslow's classification of needs (1954), instead of actual information needs. Lexicography has also focused on information needs, but has developed a more abstract classification of types of information needs, though (until more recent research into lexicographical functions) with a particular interest in linguistic uncertainties and the lack of knowledge and skills in relation to one or several languages. In this article, we suggest a classification of information needs in which a tripartition has been made according to the different types of situations: communicative needs, cognitive needs, and operative needs. This is a classification that is relevant and useful in general in our modern information society and therefore also relevant for information science, including lexicography.

• The Journal of the Korea Contents Association
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• v.2 no.1
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• pp.68-76
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• 2002

Clustering is representative method of components classification. But, previous clustering method that use cohesion and coupling can not be effective, because design pattern has consisted by relation between classes. In this paper, we classified design patterns with special quality of pattern structure. Classification by clustering had expressed higher correctness degree than classification by facet. Therefore, can do that it is effective that classify design patterns using clustering algorithms that is automatic classification method. When we are searching design patterns, classification of design patterns can compare and analyze similar patterns because similar patterns is saved to same category. Also we can manage repository efficiently because of using and storing link information of patterns.