• Journal of Korean Society of Archives and Records Management
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• v.6 no.2
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• pp.57-85
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• 2006

There should be an integration between work management and records management in order to document the work processes thoroughly. It's proper to establish a records classification system to have the work classification and record classification table integrated for that purpose. But the conventional procedures and methodology used for records classification system development lack specific features to be used as voluntary guidelines of a common organization or group and to conduct analysis. Recognizing the problems, this study suggested the specific methods of records classification system development to link work management and records management organically. First, the functional classification was chosen as the principle of classification for records classification system development. Then concrete methods of records classification system development were suggested. Analysis and comparison were made for the DIRKS(Designing and Implementing Recordkeeping Systems), which is the standard records management and work analysis of Australia, and AS 5090. The results were used to suggest specific methods of records classification system development in conjunction with the research into the methodology employed for work analysis in information engineering and business administration to compensate for its weakness. The significance of the study can be found in that it suggested the methods of typical records classification system development in connection with records classification, and that it applied them to the Presidential Committee for the Inspection of Collaborations for Japanese Imperialism and tested them.

• The Journal of Society for e-Business Studies
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• v.22 no.4
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• pp.175-191
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• 2017

The basis of economic statistics for evaluating the security industry's growth and inter-industry impacts is to create a standardized industry classification along with the scope of the security industry. The industrial classification should be written in such a way that it complies with and complies with the standards of the international and domestic standardized standard industrial classifications. Representative classifications of information security, physical security, and convergence security as well as classification of products and services related to security at present are not in line with the criteria of industrial classification based on the characteristics of production activities for products. The results of the convergence security industrial classification study are also consumer-oriented classification, which differs from the supplier-centric classification officially used in statistics, law, and policy enforcement in the present country. In this study, we first summarized the criteria of Korean and international industrial classification, and then examined whether the current classification of security meets these criteria. Next, to examine the classification directions of newly formed industries such as security industry, we reviewed some cases of domestic industrial special classification and types, and proposed the industrial classification criteria and direction of the security industry on the basis of them.

• Journal of the Korean Society for information Management
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• v.35 no.4
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• pp.37-50
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• 2018

The purpose of this study is to analyze the first edition of Brown's Subject Classification and to understand the implications of today's library classification. For this purpose, the first edition of the Subject Classification published in 1906 was analyzed. The analysis results are divided into three main areas. First, SC is divided into eleven main classes and each class is subdivided into enumerated subdivisions from 000 to 999. Second, As a method of synthesizing the classification numbers, there were three methods of synthesis. There was a flexibility to insert a new classification number at the appropriate location when a new topic that does not appear in the main table appeared. Implications for classification studies can be divided into four main categories. First, SC proposed a method of classification number synthesis for composite topics, which is an innovative method that was not available in previous library classification. Second, the subject matter was explained in various aspects through the operation of auxiliary tables supporting the facets. Third, it is possible to easily insert a new topic into the classification system by using the SC that can have a flexible classification system for each library, or to use a short classification number according to the size of the library collection. Fourth, it provided a directory that can be considered as access points for digital materials.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.10 no.1
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• pp.57-71
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• 2007

While a concept on biotop or the urgency of its classification systems have been under discussion recently, this study aims to examine outdoor biotop classification systems for environment-friendly community. To this end, the feasibility of creating a biotop in the community and application elements were generated and biotops were classified and categorized. Then, elements that can be applied in consideration of traditional Korean techniques were generated and biotop classification systems and specific components in residential areas were reviewed. As for the result of this study, based on a preliminary draft prepared through literature review, considerations for biotop classification systems were taken into account. Then, based on classification criteria for biotop formats, biotop functions and biotop types, a second-tier classification system was developed. Criteria for biotop formats included surfaces, lines and points while criteria for biotop functions were large cores, small bases, corridors, stepping stones and ecological islands. Criteria for habitat types were divided to include natural forest, developed green areas, lacustrine wetland, palustrine wetland, shrubs, grasslands, linear habitats, vacant plots and practical green areas, which were sub-categorized. As for the biotop classification system, macro-classification divided biotops into three types-space, line and point-based on biotop formats. Meso-classification had five groups and micro-classification had 21 groups based on habitat types. Future studies should focus on the ecological features of each biotop categories generated in this study and their creation and management techniques to find many practical methods to create, protect and manage outdoor biotop for environment-friendly community.

• International Journal of Contents
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• v.7 no.4
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• pp.108-115
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• 2011

The current study aims to analyze the acceptance of International Standard Terminology (IST) related to herbs and formulas used in Korea. It also intends to examine limitations of each term source by linking texts for herbal medicine research and formula research used in schools of oriental medicine with medicinal substance-formula classification names within the IST framework. This study examined 64 medicinal classification names of IST, including synonyms, 41 formula classification names, 65 classification names of "Herbal Medicine Study," 89 medicinal classification names of "Shin's Clinical Herbal Medicine Study," and lastly 83 formula classification names of "Formula Study." Data on their chief virtue, efficacy and characteristics as medicinal substances were extracted from their definitions, and such data were used to perform Chinese character-English mapping using the IST. The outcomes of the mapping were then analyzed in terms of both lexical matching and semantic matching. In terms of classification names for medicinal substances, "Herbal Medicine Study" had 60.0% lexical matching, whereas "Shin's Clinical Herbal Medicine Study" had 48.3% lexical matching. When semantic matching was also applied, "Herbal Medicine Study" showed a value of 87.7% and "Shin's Clinical Herbal Medicine Study" 74.2%. In terms of formula classification names, lexical matching was 28.9% of 83 subjects, and when semantic matching was also considered, the value was 30.1%. When the conceptual elements of this study were applied, some IST terms that are classified with other codes were found to be conceptually consistent, and some terms were not accepted due to different depths in the classification systems of each source.

• Journal of Korean Critical Care Nursing
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• v.13 no.2
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• pp.24-35
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• 2020

Purpose : This study aimed to determine whether the Korean Patient Classification System for Neonatal Care Nurses (KPCSN) properly measures neonatal intensive care needs and to compare the scale's results with those of the Workload Management System for Critical Care Nurses (WMSCN). Methods : Data were collected from the medical records of 157 patients who were admitted to the NICU of a university hospital, in D city. Two types of patient classification systems were applied to investigate the total points and distributions to investigate the total points and distributions by categories and compare relationships and classification groups between two scales. Finally, the score distribution among the classification groups was analyzed when the KPCSN was applied. Results : Scores on the KPCSN for the feeding, monitoring, and measure categories were 19.16±15.40, 16.88±3.52, and 9.13±4.78, respectively. Classification group distribution of the KPCSN was as follows : 1.9% for the first group, 24.2% for the second group, 58% for the third group, and 15.9% for the fourth group. The classification group distribution of the WMSCN was as follows: 35.7% for the third group, 61.1% for the fourth group, and 3.2% for the fifth group. Finally, the scores by categories were analyzed according to KPCSN classification group, and the characteristics of the patients' nursing needs were identified for each classification group. Conclusion : Results of this study indicate that the KPCSN effectively measures feeding needs, which account for many nursing activities in neonatal intensive care. Comparisons between the KPCSN and WMSCN classification group scores and distribution ratios verified the correlation and significance of nursing requirements.

• Journal of Korean Academy of Nursing
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• v.17 no.1
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• pp.9-23
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• 1987

Nursing service, as the largest user of labor resources, has become concerned about appropriate allocation of staffing resources. Therefore, this project was designed to measure quantitatively the direct nursing care provided to patients and to develop a new patient classification system based on the direct nursing care activities. The initial step in the development of the classification instrument was to identify the content of direct nursing activities. The frequency with which these activities were carried out, the total time spent in carrying them out and the average time for one performance of each of the nursing activities was calculated. The next step was to select the items for the classification instrument taking into account these direct nursing activities. A list of 40 items was prepared. These items were then classified into 8 major categories: personal hygiene, moving ＆ exercise, nutrition & elimination, observation, medication, treatment, collecting specimens and other care activities for severity ill patients. Each item was assigned a value unit based on the average time required by the nursing staff to complete the specific item. The third step was to determine the practicality of the items and value units, so an attempt was made to establish content validity for these items and units by obtaing a consensus from 8 head nurses, representing eight different departments. The 4th step was to conducted a pilot study to establish the score range for the classification boundaries. For this purpose an instrument was designed using the list of items and value units and a prepared classification criteria as a guideline to validate the patient classification. A judgment group consisting of 52 supervisory nurses and head nurses were asked to select the proper patient to fit each classification criteria and to fill out the instrument for each patient. The total value unit and the frequency for each classification group was calculated. According to the frequency distribution, the score range for the classification group was determined as follows : 0~15 for groupI, 16~30 for group II, 31~50 for group III, and above 51 for group IV. Finally a patient classification form was developed.

• 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.

• Journal of Korean Library and Information Science Society
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• v.15
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• pp.179-205
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• 1988

The purpose of this research is to analyze the differences between electronical engineering class in KDC3 and electronical engineering class in DDC 19. The results of the study can be summarized as follows ; 1. The characteristics of the classification items in classification schemes of the electronical engineering fields is that KDC is classified by the vacuum tubes, electron tubes, special tubes, computers etc and DDC is classified by the microwave electronics, short-and long-wave electronics, X-ray and gamma-ray electronics, computers etc. 2. There is a blank in KDC and there are three blanks in DDC of the electronical engineering fields, but the total classification items number is much more in DDC than in KDC. This means that DDC is more classified than in the special classification items. 3. Classification items over 70% in the total classification items of computer fields in KDC, are classified a classification items of the short-and long-wave electronics in DDC. 4. There is a blank of computer fields in KDC and there are three blanks of computer fields in DDC, but the total classification items are many eighteen items. This means that DDC is more classified than KDC. 5. The sections of computers in DDC were established the 621.38195 classification item and the subsection of analogue computers in DDC were established the 621.381957 classification item and the subsection of digital computer in DDC were established the 621.381958 classification item. As we have seen, because of the development in technology and the subdivision of knowledge, the number of items is increased, and the terminology also become simplified and specified in the field of electronic engineering in KDC and DDC.

• Korean Journal of Remote Sensing
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• v.30 no.2
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• pp.207-218
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• 2014

The information on the land cover along stream corridor is important for stream restoration and maintenance activities. This study aims to review the different classification methods for mapping the status of stream corridors in Seom River using airborne RGB and CIR digital ortho imagery with a ground pixel resolution of 0.2m. The maximum likelihood classification, minimum distance classification, parallelepiped classification, mahalanobis distance classification algorithms were performed with regard to the improvement methods, the skewed data for training classifiers and filtering technique. From these results follows that, in aerial image classification, Maximum likelihood classification gave results the highest classification accuracy and the CIR image showed comparatively high precision.