• Journal of Preventive Medicine and Public Health
• /
• v.29 no.4 s.55
• /
• pp.877-897
• /
• 1996

In recent years, the Korean Medical Association has undertaken the feat of establishing the Korean Standard Terminology of Medical Procedures with the dedicated help of 32 medical academic societies. However, because the project is being conducted by several different circles, it has yet to see a clear system of classification. This thesis, therefore, proposes the three principles of scientific properties, usefulness and ideology as the basis for classification system and has developed the Classification System of Medical Procedures in Korea upon their foundation. The methodology and organization of this thesis as follows. First, by adopting scientific classification system of Feinstein(1988), an analysis of the classification systems of the medical procedures in the United States, Japan, Taiwan, WHO was carried out to reveal the framework and the basic principles in each system. Second, the direction of classification system has been constructed by applying the normative principle of medical field in order to show the future direction of the medical field and realize its ideology. Third, a finalized framework for the classification system will be presented as based on the direction of classification system. Of the three basis principles mentioned above, the analysis on the principles of usefulness was left out of this thesis due to the difficulty of establishing specific standards of analysis. The results of the study are as follows. The overall structure of the thesis is aimed at showing the 'Prevention-Therapy-Rehabilitation' quality of comprehensive health care and consists of six chapters; I. Prevention and Health Promotion II. Evaluation and Management III. Diagnostic Procedures IV. Endoscopy V. Therapeutic Procedures VI. Rehabilitation Chapter three Diagnostic Procedures is divided into four parts : Functional Diagnosis, Visual Diagnosis, Pathological Diagnosis, Biopsy and Sampling. Chapter five Therapeutic Procedures is divided into Psychiatry, Non-Invasive Therapy, Invasive Therapy, Anaesthesia and Radiation Oncology. Of these sub-divisions, Functional Diagnosis, Biopsy and Sampling, Endoscopy and Invasive Therapy employs the anatomical system of classification. On the other hand, Visual Diagnosis, Pathological Diagnosis, Anesthesia and Diagnostic Radiology, namely those divisions in which there is little or no overlapping in services with other divisions, used the classification system of its own division. The classification system introduced in this thesis can be further supplemented through the use of the cluster analysis by incorporating the advice and assistance of other specialists.

• 한국방재학회:학술대회논문집
• /
• 2007.02a
• /
• pp.526-529
• /
• 2007

Storm and flood damage management systems in national disaster management system(NDMS) were organized into three operation systems. They are prevention, preparation, response, and recovery systems. Disaster resources in each system must be promptly and exactly applied to minimize casualties and loss of properties. However, the disaster resources in current management system can not be immediately used in calamity situation due to the lack of efficiency in statistical data. In this study, the classification system of the disaster resources in storm and flood damage systems was examined to develop the a standard technology in disaster resources management. Problems and reformation points of the classification system were also presented to improve the classification technique and to construct the data base.

• Journal of the Korean Society for information Management
• /
• v.25 no.3
• /
• pp.357-375
• /
• 2008

With the rapid distribution and active usage of the Internet, information search and retrieval through Internet has become a primary form of information access. This ubiquity of information access through Internet means the increased significance of search performance offered by Internet portals, since the optimization of search performance by portal has strong implication for the effective access of information through Internet in general. In this context, this paper investigates the classification scheme used in the directory service of internet portals, which provides selected and organized access to Internet information. First, the author analyzes the deployment of directory classification of standard subdivision topics used in traditional library classification system, with emphasis on the table composed of the form and approach, which are applicable to diverse subject areas. Then, based on this analysis, he proposed a method of applying certain subdivisions of the standard subdivision to directory service of Internet portals.

• Korean Journal of Clinical Laboratory Science
• /
• v.56 no.1
• /
• pp.21-31
• /
• 2024

This study provides the underlying data on the inclusion of medical technologists in the category of medical personnel. Medical personnel are defined in the Medical Service Act as physicians, dentists, oriental medicine doctors, midwives, and nurses. In the act, medical technologists shall be classified into clinical laboratory technologists (clinical pathology technologists in the Korean language), radiological technologists, physical therapists, occupational therapists, dental technologists, and dental hygienists. Although South Korea's medical personnel do not include medical technologists, Japan and Taiwan define them as medical personnel. Various standard occupational classification such as International Standard Classification of Occupations 2008, Korean Standard Classification of Occupations 2017, Japan Standard Occupational Classification 2009, Taiwan Standard Occupational Classification 2010, and USA Standard Occupational Classification 2018 were compared. The education system for medical health technologists was explained to include 4-year university and 3-year junior college programs. The roles of medical technologists in medical practice, therapy, and medical assistance were outlined. These basic materials incorporate the need for discussions about the meaning of including medical technologists in the type of medical personnel. These discussions will contribute to the legalization of medical technologists' professionality with regard to their inclusion in the type of medical personnel.

• The Journal of Korean Association of Computer Education
• /
• v.7 no.4
• /
• pp.51-60
• /
• 2004

This paper proposes an automated coding system of Korean standard industry/occupation for census which reduces a lot of cost and labor for manual coding. The proposed system converts natural language responses on survey questionnaires into corresponding numeric codes using information retrieval techniques and document classification algorithm. The system was experimented with 46,762 industry records and occupation 36,286 records using 10-fold cross -validation evaluation method. As experimental results, the system show 87.08% and 66.08% production rates when classifying industry records into level 2 and level 5 codes respectively. The system shows slightly lower performances on occupation code classification. We expect that the system is enough to be used as a semi-automate coding system which can minimize manual coding task or as a verification tool for manual coding results though it has much room to be improved as an automated coding system.

• Journal of the Korean Geotechnical Society
• /
• v.24 no.11
• /
• pp.43-53
• /
• 2008

The rock mass classification systems used in Korea are not standardized. And also the criteria values differ between agencies. So different opinions for rock mass classification can occur among engineers who participate in each design process. In this research, a new rock mass classification system was suggested to correct these problems. For this purpose, the criteria used in the Korean agencies were compared with the criteria used in foreign agencies and standard criteria were selected. Thereafter rational and objective criteria values were suggested quantitatively for the new classification system.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.66 no.7
• /
• pp.1092-1099
• /
• 2017

This paper proposes a novel way of vehicle detection and classification based on image features. There are two main processes in the proposed system, which are database construction and vehicle classification processes. In the database construction, there is a tight censorship for choosing appropriate images of the training set under the rigorous standard. These images are trained using Haar features for vehicle detection and histogram of oriented gradients extraction for vehicle classification based on the support vector machine. Additionally, in the vehicle detection and classification processes, the region of interest is reset using a number plate to reduce complexity. In the experimental results, the proposed system had the accuracy of 0.9776 and the $F_1$ score of 0.9327 for vehicle classification.

• Journal of the Korean Society for Library and Information Science
• /
• v.40 no.3
• /
• pp.151-173
• /
• 2006

The purpose of this study is to make out a draft for the standard classification of the National Knowledge and Information Resources. As the result of the Study the standard classification system of the national knowledge and information resources, named "Knowledge Classification 'KC' is suggested. KC consists of 3 classification systems classification by subject, type of resources and type of media. The classification by subject has 12 main classes, and each main class has divisions. Main classes consist each of major discipline or group of related disciplines. The type of resources is classified by 10 types of content, likewise numbered 0-9, and the media of knowledge are classified by 8 types. likewise 0-7. In the Practice the notation always consists of 2 characters and 2 digits. The first character designate main class and the second character designate division. The first number designate the type of resources and the second number designate the type of media.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.64 no.4
• /
• pp.515-522
• /
• 2015

Through the correspondence works with IEC in the smart grid fields and power IT fields, we set up the interpretation work procedure and defined the work rule for correspondence by analyzing the work results. In addition, we suggest cases for discussion of terms and definitions in the IEC and analyze them and then propose a matrix classification system for standardization to solve the cases for discussion. The matrix classification system with 3-axes of classification has been applied to newly emerging terminologies followed by smart gird. We drew the usefulness in search of terms in application fields and showed the cases of applying the matrix classification. The IEC Electropedia classification standard is unclear and the classification is mixed with principle, application and product areas. We proposed a new working group in IEC TC1 for research on the matrix classification system and then TC 1 decided to organize a new WG titled in the "IEV structure and supporting tools".

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