• 산업공학
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• 제24권2호
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• pp.97-104
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• 2011

Research for multi-variate classification has been studied through two kinds of procedures which are feature selection and classification. Feature Selection techniques have been applied to select important features and the other one has improved classification performances through classifier applications. In general, each technique has been independently studied, however consideration of the interaction between both procedures has not been widely explored which leads to a degraded performance. In this paper, through integrating these two procedures, classification performance can be improved. The proposed model takes advantage of KBANN (Knowledge-Based Artificial Neural Network) which uses prior knowledge to learn NN (Neural Network) as training information. Each NN learns characteristics of the Feature Selection and Classification techniques as training sets. The integrated NN can be learned again to modify features appropriately and enhance classification performance. This innovative technique is called ALBNN (Algorithm Learning-Based Neural Network). The experiments' results show improved performance in various classification problems.

• Journal of Korean Biological Nursing Science
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• 제1권1호
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• pp.1-24
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• 1999

The purpose of this study was to define the content of requisite human structure and function knowledge needed for clinical knowledge of nursing practice. Subjects of human structure and function were divided into 10 units, and each unit was further divided into 21 subunits, resulting in a total of 90 items. Contents of knowledge of human structure and function were constructed from syllabus of basic nursing subjects in 4 college of nursing, and textbooks published by nurse scholars prepared with basic nursing sciences. The degree of need of 90 items was measured with a 4 point scale. The subjects of this study were college graduated 136 nurses from seven university hospitals in Seoul and three university hospitals located in Chonnam Province, Kyungbook Province, and Inchon. They have been working at internal medicine ward, surgical ward, intensive care unit, obstetrics and gynecology ward, pediatrics ward, opthalmology ward, ear, nose, and throat ward, emergency room, rehabilitation ward, cancer ward, hospice ward, and their working period was mostly under 5 years. The results were as follows: 1. The highest scored items of human structure and function knowledge necessary for nursing practice were electrolyte balance, blood clotting mechanism and anticoagulation mechanism, hematopoietic function, body fluid balance, function of plasma, and anatomical terminology in the order of importance. The lowest scored items of human structure and function knowledge necessary for nursing practice was sexual factors of genetic mutation. 2. The highest order of need according to unit was membrane transport in the living unit, anatomical terminology in movement and exercise unit, mechanism of hormone function in regulation and integration unit, component and function of blood in oxygenation function unit, structure and function of digestive system in digestive and energy metabolism unit, temperature regulation in temperature regulation unit electrolyte balance in body fluid and electrolyte unit, concept of immunity in body resistance unit, and genetics terminology in genetics unit. The highest order of importance according to subunit was membrane transportation in cell subunit, classification of tissues in tissue unit, function of skin and skin in skin subunit, anatomical derivatives of the skeleton subunit, classification of joints in joint subunit, an effect of exercise on muscles in muscle subunit, function of brain in nervous system subunit, special sense in sensory subunit mechanism of hormone function in endocrine subunit, structure and function of female reproductive system in reproductive system unit, structure and function of blood in blood unit, structure of heart, electrical and mechanical function in cardiovascular system unit, structure of respiratory system in respiratory system subunit, structure and function of digestive system in digestive system subunit, hormonal regulation of metabolism in nutrition and metabolism subunit, function of kidney in urologic system subunit, electolyte balance in body fluid, electolyte and acid-base balance subunit. 3. The common content of human structure and function knowledge need for all clinical areas in nursing was structure and function of blood, hematopoietic function, function of plasm, coagulation mechanism and anticoagulation mechanism, body fluid, electrolyte balance, and acid-base balance. However, the degree of need of each human structure and function knowledge was different depending on clinical areas. 4. Significant differences in human structure and function knowledge necessary for nursing practice such as skin and derivatives of the skin, growth and development of bone, classification of joint, classification of muscle, structure of muscle, function of muscle, function of spinal cord, peripheral nerve, structure and function of pancrease, component and function of blood, function of plasma, structure and function of blood, hemodynamics, respiratory dynamics, gas transport, regulation of respiration, chemical digestion of foods, absorption of foods, characteristics of nutrients, metabolism and hormonal regulation, body energy balance were demonstrated according to the duration of work. 5. Significant differences in human structure and function knowledge necessary for nursing practice such as classification of tissue, classification of muscles, function of muscles, muscle metabolism, classification of skeletal muscles, classification of nervous system, neurotransmitters, mechanism of hormone function, pituitary and pituitary hormone, structure and function of male reproductive organ, structure and function of female reproductive organ, component and function of blood, function of plasma, coagulation mechanism and anticoagulation mechanism, gas exchange, gas transport, regulation of respiration, characteristics of nutrients, energy balance, function of kidney, concept of immunity, classification and function of immunity were shown according to the work area. Based on these findings, all the 90 items constructed by Korean Academic Society of Basic Nursing Science should be included as contents of human structure and function knowledge.

• 한국컴퓨터정보학회논문지
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• 제23권11호
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• pp.25-30
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• 2018

Pattern classification system is often an important component of intelligent systems. In this paper, we present a pattern classification system consisted of the feature selection module, knowledge base construction module and decision module. We introduce a feature impact evaluation selection method based on fuzzy cluster analysis considering computational approach and generalization capability of given data characteristics. A fuzzy neural network, OFUN-NET based on unsupervised learning data mining technique produces knowledge base for representative clusters. 240 blemish pattern images are prepared and applied to the proposed system. Experimental results show the feasibility of the proposed classification system as an automating defect inspection tool.

• 한국융합학회논문지
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• 제6권1호
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• pp.49-55
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• 2015

FTA(Free Trade Agreement) 환경에서 수출입 기업이 무관세 혜택을 받기위해서는 원산지 규정을 준수하는 일이고, 이를 위해 가장 먼저 선행되어야하는 것이 물품의 품목분류가 필요하다. 이를 위해서는 관세율표를 구성하고 있는 HS(Harmonized System) 품목분류의 기본원리에 대한 철저한 이해가 전제되어야하며, 품목에 대한 호(Heading)에서의 상품명에 대한 이해와 관련 영역(section)이나 해당 영역(chapter)의 주(Note)는 물론 해설서의 규정까지 이해하고 있어야 올바른 품목분류를 할 수 있다. 이러한 문제점을 해결하기 위해 본 논문은 물품의 특성을 잘 알고 있는 경우, 업무 담당자도 쉽고 정확하게 분류할 수 있도록 품목분류의 결정에 영향을 줄 수 있는 7가지 결정요소를 시스템에서 먼저 제시하여 사용자가 선택하도록 하고, 각 산업에서 통상적으로 통용되는 현장용어 지식을 포함하는 융합적 수행시스템 기반의 HS 품목분류 서비스 개발을 제안하였다. 마지막으로 이 시스템의 실제 기업 현장 적용을 통해 효과를 검토하였다.

• 대한의용생체공학회:의공학회지
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• 제29권6호
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• pp.466-476
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• 2008

The more people use ambulatory electrocardiogram(ECG) for arrhythmia detection, the more researchers report the automatic classification algorithms. Most of the previous studies don't consider the un-balanced data distribution. Even in patients, there are much more normal beats than abnormal beats among the data from 24 hours. To solve this problem, the hierarchical classification using 21 features was adopted for arrhythmia abnormal beat detection. The features include R-R intervals and data to describe the morphology of the wave. To validate the algorithm, 44 non-pacemaker recordings from physionet were used. The hierarchical classification model with 2 stages on domain knowledge was constructed. Using our suggested method, we could improve the performance in abnormal beat classification from the conventional multi-class classification method. In conclusion, the domain knowledge based hierarchical classification is useful to the ECG beat classification with unbalanced data distribution.

• International Journal of Knowledge Content Development & Technology
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• 제2권1호
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• pp.51-65
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• 2012

While science and technology information service portals and heterogeneous databases produced in Korea and other countries are integrated, methods of connecting the unique classification systems applied to each database have been studied. Results of technologists' research, such as, journal articles, patent specifications, and research reports, are organically related to each other. In this case, if the most basic and meaningful classification systems are not connected, it is difficult to achieve interoperability of the information and thus not easy to implement meaningful science technology information services through information convergence. This study aims to address the aforementioned issue by analyzing mapping systems between classification systems in order to design a structure to connect a variety of classification systems used in the academic information database of the Korea Institute of Science and Technology Information, which provides science and technology information portal service. This study also aims to design a mapping system for the classification systems to be applied to actual science and technology information services and information management systems.

• 한국멀티미디어학회논문지
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• 제24권7호
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• pp.868-879
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• 2021

PCB (Printed Circuit Board) inspection using a deep learning model requires a large amount of data and storage. When the amount of stored data increases, problems such as learning time and insufficient storage space occur. In this study, the existing object detection model is changed to a continual learning model to enable the recognition and classification of PCB components that are constantly increasing. By changing the structure of the object detection model to a knowledge distillation model, we propose a method that allows knowledge distillation of information on existing classified parts while simultaneously learning information on new components. In classification scenario, the transfer learning model result is 75.9%, and the continual learning model proposed in this study shows 90.7%.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2002년도 학술대회지
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• pp.515-518
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• 2002

지식경영이 기업의 생존에 있어 없어서는 안되는 패러다임으로 여겨지면서, 기업은 지식관리시스템 혹은 기타 시스템을 이용하여 무형지식을 관리하려는 노력하고 있다. 그래서, 각 기업은 자사에 맞는 지식관리시스템을 개발하고 자산에 맞는 지식분류체계를 작성하고 활용하고 있다. 건설산업 또한 예외는 아니다 대기업을 중심으로 이루어지고 있지만, 현 건설업체에서 가지고 있는 지식분류체계는 타 산업(제조업, 금융 등)과의 차별성을 느낄 수 없는 전 산업적인 지식 분류체계를 가지고 있다. 그래서, 건설업이 가지고 암묵지를 형식지화 하는데 더욱 어려움이 있는 것이다. 또한, 지식 분류체계를 작성하고 있더라도 이런 지식을 평가하기 위한 활용방안 및 정량적 기준이 미흡하다. 본 연구는 건설업체에서 실시하고 있는 KMS을 벤치마킹하여 문제점을 찾고, 문헌조사를 통하여 건설 지식분류체계를 통하여 공기, 스킬, 비용 등의 관점으로 지식을 평가할 수 있는 모델 제시하고자 한다.

• 한국간호교육학회지
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• 제13권1호
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• pp.41-51
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• 2007

Purpose: This research studied the nurses' knowledge and attitude about pain management. Method: The research subjects were 465 nurses working at three university hospitals in Seoul and at one university hospital in Kyunggi-do. The survey results were collected between October 13 and 21 in 2004. Result: The overall mean score of correct answers on knowledge about pain management was 73.34, general knowledge 71.08, and cancer pain control was 93.93. Similarly, the mean score of correct answers on knowledge about the classification of analgesics was 75.89, while the knowledge of their use was only 52.48. The overall characteristics related to the degree of the nurses' knowledge about pain management were their educational background and their experiences of pain education. In a similar view, the overall characteristics related to the knowledge about the classification of analgesics were age and religion. Likewise, the use of analgesics was related to field of service and the experience of pain education. Finally, the overall characteristics related to the nurse's attitude toward pain management were their field of service and their position. Conclusion: The results of this study could be useful to institutions involved in the education and application of patient pain management.

• 한국지역사회생활과학회지
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• 제17권4호
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• pp.15-27
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• 2006

Most countries recognize traditional knowledge as an economical resource in recent years, and so are actively participating in WIPO discussions for making sure of their intellectual property rights. In this study, the definition of traditional knowledge was discussed for making clear its categories and relative subjects. A tool for Korean Traditional Knowledge Resource Classification(KTKRC) was developed for putting the data of the resources in order, and was indispensable for searching for and examining cultural artifacts within the system of international intellectual property rights. KTKRC covers comprehensively our various traditional knowledge resources and has a similar structure to IPC for international searching, examining, and information exchange. KTKRC consists of a section of traditional knowledge(A), and three subsections: production technology(A0), living technology(A2) and creative technology(A4). The subsections include 8 classes, 28 subclasses, 105 groups, and a great number of subgroups.