• 한국가스학회지
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• 제12권2호
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• pp.53-56
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• 2008

용접 부위의 결함을 비파괴적으로 탐지하기 위하여 홀센서에 의해 누설자속을 측정할 수 있는 시스템과 4 종류의 용접결함을 갖는 기준시편을 제작하였다. 제작한 시스템으로 시편에 생성시킨 4 종류의 결함에서 누설된 자속을 측정하였고, 신호의 피크-피크 크기와 피크-피크 간의 간격에서 결함의 종류를 구분할 수 있는 가능성을 확인하였다.

• Natural Product Sciences
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• 제20권4호
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• pp.243-250
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• 2014

A simple GC method with a FID detector was developed in order to determine two main compounds (${\beta}$-sitosterol and lupenone) for Adenophorae Radix. ${\beta}$-Sitosterol and lupenone were analyzed by the gradient thermal ramping method. Nitrogen was used as the carrier gas at 108 kPa. The flow rate of gas was 2.0 mL/min; $2{\mu}L$ of filtered sample was injected at a split ratio of 1 : 80. This method was fully validated with respect to linearity, precision, accuracy and robustness. Further, this GC-FID method was applied successfully in order to quantify two compounds in an Adenophorae Radix extract. The GC analytical method for classification analysis was performed by repeated analysis of 59 reference samples in order to differentiate between Adenophora triphylla var. japonica Hara and 14 Codonopsis lanceolata. The results indicate that the GC-FID method is suitable and reliable for the quality evaluation of Adenophorae Radix.

• 한국지능시스템학회논문지
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• 제23권5호
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• pp.431-435
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• 2013

아로마는 오래전부터 치유를 위하여 사용되어 왔고, 아로마의 종류에 따라서 치유하는 효능이 다르다. 아로마의 분류를 체계적으로 하기 위하여 가스센서 어레이 시스템을 제작하였다. 센서에서 출력한 신호를 신경회로망의 입력으로 사용하여 아로마를 분류하였다. 신경회로망은 IAFC(Integrated Adaptive Fuzzy Clustering) 신경회로망을 사용하였다. 실험결과 라벤더(Lavendula angustifolia), 쟈스민 (Jasminum Officiale), 오렌지(Citrus Sinensis), 로만 카모마일(Chamaemelum nobile)를 성공적으로 4개의 부류로 분류하였고 오류가 없었다.

• 한국기후변화학회지
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• 제5권4호
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• pp.301-311
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• 2014

In this study, we estimated the amount of fuel used fishing boats of individual based on the results of survey of the activity data such as operations and activities specification of fishing boats in Korea. Based on the classification system of the domestic fishing boat, and to estimate average fuel consumption and the greenhouse gas emissions, showed emission factors per fishing boat. This was suggested to be able to apply the registration data area in the future, and estimates the emissions of greenhouse gases. Based on these results, it tries to provide the basic data that can be used when you want to create a local government measures to reduce scenario in the future.

• 한국컴퓨터정보학회논문지
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• 제21권5호
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• pp.167-175
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• 2016

The volatile component analysis of 82 commercialized liquors(44 samples of single malt whisky, 20 samples of blended whisky and 18 samples of brandy) was carried out by gas chromatography after liquid-liquid extraction with dichloromethane. Pattern recognition techniques such as principle component analysis(PCA), cluster analysis(CA), linear discriminant analysis(LDA) and partial least square discriminant analysis(PLSDA) were applied for the discrimination of different liquor categories. Classification rules were validated by considering sensitivity and specificity of each class. Both techniques, LDA and PLSDA, gave 100% sensitivity and specificity for all of the categories. These results suggested that the common characteristics and identities as typification of whiskies and brandys was founded by using multivariate data analysis method.

• 대한전기학회논문지:전력기술부문A
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• 제49권1호
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• pp.31-36
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• 2000

To enhance the fault diagnosis ability for the dissolved gas analysis(DGA) of the power transformer, this paper proposes a learning vector quantization(LVQ) for the incipient fault recognition. LVQ is suitable expecially for pattern recognition such as fault diagnosis of power transformer using DGA because it improves the performance of Kohonen neural network by placing emphasis on the classification around the decision boundary. The capabilities of the proposed diagnosis system for the transformer DGA decision support have been extensively verified through the practical test data collected from Korea Electrical Power Corporation.

• Natural Product Sciences
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• 제16권3호
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• pp.180-184
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• 2010

The simple and accurate method was established for the simultaneous determination of (-)-menthone and (-)-menthol in Menthae herba obtained from Korea and China. A quantitative analysis was performed with a gas chromatography-flame ionization detector and reference compounds were separated on a capillary HP-Innowax column (30 m $\times$ 0.23 mm, 0.50 ${\mu}m$, Agilent, MA, USA). The correlation coefficients of the compounds showed good linearity ($r^2$ > 0.9997) over the linear range. The precision, repeatability and stability showed less than 1.7% of relative standard deviation (RSD) values for two compounds. Recovery rates were within the range of 95.72 - 103.76%. The method was applied successfully to analyze 15 samples of Menthae herba and achieved sufficient and specific separation of reference compounds. The principal component analysis (PCA) exhibited the classification of 15 samples according to their locations of origin.

• 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.

• 한국기후변화학회지
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• 제4권1호
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• pp.27-39
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• 2013

본 연구에서는 국내에서 사용되는 무연탄을 국내무연탄, 원료용 수입무연탄, 연료용 수입무연탄으로 분류하여 각각의 발열량 및 온실가스 배출계수를 산정하였다. 본 연구에서 산정된 온실가스 배출계수는 국내무연탄이 $111,477{\pm}4,508kg\;CO_2/TJ$, 원료용 수입무연탄이 $108,358{\pm}4,033kg\;CO_2/TJ$, 연료용 수입무연탄이 $103,927{\pm}8,367kg\;CO_2/TJ$로 산정되었다. 산정된 배출계수를 이용한 온실가스 배출량은 $6,216,942ton\;CO_2$로 무연탄을 상세히 구분하지 않고 산정한 온실가스 배출량보다 12.7% 적게 나타났다. 이에 따라, 무연탄을 상세히 분류하여 활동자료를 수집하는 것이 무연탄의 활동자료를 통합하여 수집하는 것보다 정확한 온실가스 배출량을 산정할 수 있다고 판단된다. 또한, 국내에서 사용되고 있는 무연탄의 경우 IPCC에서 제시하고 있는 무연탄과 특성이 다르기 때문에 국가 온실가스 인벤토리 향상을 위해 무연탄을 용도별로 분류하여 산정해야 한다.

• 한국축산식품학회지
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• 제41권6호
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• pp.936-949
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• 2021

This study discriminated fatty acid profile and flavor characteristics of Beijing You Chicken (BYC) as a precious local breed and Dwarf Beijing You Chicken (DBYC) eggs. Fatty acid profile and flavor characteristics were analyzed to identify differences between BYC and DBYC eggs. Four classification algorithms were used to build classification models. Arachidic acid, oleic acid (OA), eicosatrienoic acid, docosapentaenoic acid (DPA), hexadecenoic acid, monounsaturated fatty acids (MUFA), polyunsaturated fatty acids (PUFA), unsaturated fatty acids (UFA) and 35 volatile compounds had significant differences in fatty acids and volatile compounds by gas chromatography-mass spectrometry (GC-MS) (p<0.05). For fatty acid data, k-nearest neighbor (KNN) and support vector machine (SVM) got 91.7% classification accuracy. SPME-GC-MS data failed in classification models. For electronic nose data, classification accuracy of KNN, linear discriminant analysis (LDA), SVM and decision tree was all 100%. The overall results indicated that BYC and DBYC eggs could be discriminated based on electronic nose with suitable classification algorithms. This research compared the differentiation of the fatty acid profile and volatile compounds of various egg yolks. The results could be applied to evaluate egg nutrition and distinguish avian eggs.