• Resources Recycling
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• v.25 no.1
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• pp.48-59
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• 2016

The earth has been warming due to $CO_2$ gas emissions from fossil fuel cars and a ship. So the hydrogen fuel cell vehicle(FCV) using hydrogen as a fossil fuel alternative energy is in the spotlight. Hyundai Motor Company of Korea and a car companies of the US, Japan, Germany is developing a FCV a competitive. Obtained hydrogen as a by-product of the coke plant, oil refineries, chemical plants of steel mill, coal is reacted with steam at high temperatures, methane gas, manufacture of high purity hydrogen Methane Steam Reforming and hydrogen detachable reforming method using the Pressure Swing Adsorption or Membrane Reforming technical or decomposition of water to produce electricity. Hydrogen is the electronic industry, metal and chemical industries, which are used as rocket fuel, etc. are used in factories, hospitals, home of the fuel Ene.Farm system or FCV. And a method of storing hydrogen is to store liquid hydrogen and a method for compressing normal hydrogen to the hydrogen container, by storing the latest hydride or Organic chemical hydride method is used to carry the hydrogen station. Korea is currently 13 hydrogen stations in place and in operation, plans to install a further 43 places.

• Proceedings of the Korea Society of Poultry Science Conference
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• 2003.11a
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• pp.91-92
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• 2003

비태인의 급여(0, 600 ppm)가 사료의 단백질 수준(14, 16 ％)에 따라 산란계의 생산성과 난품질, 혈액성상, 간과 가슴육의 일반성분에 미치는 영향을 구명하기 위하여 83주령 하이라인 산란계 192수를 이용하여 12주간 사양실험을 실시하였다. 기초사료는 에너지 수준이 2,800 kcal/kg, methionine과 lysine, cystine의 수준은 단백질 수준에 비례하도록 하였다. 조사항목으로 산란율과 난중, 사료섭취량, 사료요구율, 계란품질은 4주 간격으로 측정했다. 실험 종료시 복강지방과 혈액중 total protein과 albumin, BUN, triglyceride, total cholesterol, HDL-cholesterol, LDL-cholesterol 함량, 간의 methionine, choline 함량, 간과 가슴육의 수분, 조단백질, 조지방 함량을 측정하였다. 산란율은 단백질 수준에 따라 증가하였으며(P＜0.05) 비태인 급여에 의한 차이는 없었다. 난중은 단백질과 비태인 급여로 증가하였으며(P＜0.05) 산란양은 단백질 수준이 증가할수록 감소하였다(P＜0.05). 비태인 급여로 사료 요구율은 현저하게 개선되었지만(P＜0.05), 계란의 품질은 차이가 없었다. 혈청 total protein은 비태인 급여로 현저히 증가하였으며 특히 단백질 14 ％ 급여구에서 크게 증가하였다(P＜0.05). 복강지방 함량은 단백질 수준과 비태인 급여에 따라 감소하는 경향을 보였다. 가슴육과 간의 조단백질 함량은 사료의 단백질 수준에 따라 증가하였다(P＜0.05). 간의 조지방 함량은 비태인의 급여로 감소하는 경향을 보였다. 간의 methionine 함량은 단백질과 비태인 수준에 따라 증가하는 경향을 보였으며 choline 함량은 비태인의 급여에 의해서만 증가하는 경향을 보였다. 따라서 비태인의 급여는 단백질 수준이 높은 조건에서 산란율을 개선시키고 난중을 증가시키며 사료 요구율을 개선한다.록 산가는 증가하는 것을 볼 수 있다. 홍국주의 전자 공여능에 의한 항산화력은 25.6%, 아질산염 소거능은 27.6%, Total phenolic compound 함량은 12.34mg%, ACE저해작용은 38%의 항산화력을 나타냈다.과 $O_2$와 $CO_2$의 농도에서 평균오차 0.2%로 정밀한 것으로 나타났으며 호흡속도 측정용 챔버의 혼합기체 공급측과 배기측의 가스 농도를 3회 반복 측정한 결과 재현성에서는 0.1%이하의 편차로 나타났다. 개방계 호흡속도 자동 측정 시스템을 이용하여 환경기체조성하에서 토마토의 호흡속도를 측정하는 실측 실험을 수행한 결과 2$0^{\circ}C$에서 12.7~42.1mg$CO_2$/kg.hr였으며 12$^{\circ}C$에서 2.5~8.2mg$CO_2$/kg.hr로 일반적으로 보고되고 있는 토마토 호흡속도와 일치하는 결과를 나타내었다.다.환원당인 sucrose 함량은 계속 증가하였고 fructose, glucose, sorbitol의 함량(추황의 sorbitol을 제외)은 생장이 촉진됨에 따라 증가하다가 다시 점차적으로 감소하였다. 이러한 결과는 총당과 환원당의 측정결과와 일치한 것으로 나타났다. 결론적으로 배의 성장에 따라 산 함량은 감소하였고 당 함량은 증가하였다.luco-pyranoside, quercetin 7-O- -glucopyranoside, acacetin 7-O-$\beta$-D-glucuronide and apigenin-6-C-$\beta$-D-glucopyranosyl-8-C-$\beta$-D-glucopyranoside were first isolated and identified from safflower leaf. Among these flavonoids, luteolin

• Proceedings of the Korean Vacuum Society Conference
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• 2013.08a
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• pp.81-81
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• 2013

반도체, LCD, MEMs 등 미세 전자소자의 제작과 깊은 관련이 있는 IT 산업은 자동차 산업과 함께 세계 경제를 이끌고 있는 핵심 산업이며, 그 발전 가능성이 크다고 할 수 있다. 이 중 반도체, LCD 공정 기술에 관해서 대한민국은 세계를 선도하여 시장을 이끌어 나가고 있는 실정이다. 이들의 공정기술은 주로 높은 수율(yield)을 기반으로 한 대량 생산 기술에 초점이 맞추어져 있기 때문에, 현재와 같은 첨예한 가격 경쟁력이 요구되는 시대에서 공정 기술 개발을 통해 수율을 최대한으로 이끌어 내는 것이 현재 반도체를 비롯한 미세소자 산업이 직면하고 있는 하나의 중대한 과제라 할 수 있다. 특히 반도체공정에 있어 발전을 거듭하여 현재 20 nm 수준의 선폭을 갖는 소자들의 양산이 계획 있는데 이와 같은 나노미터급 선폭을 갖는 소자 양산과 관련된 CD (critical dimension)의 감소는 공차의 감소를 유발시키고 있으며, 패널의 양산에 있어서 생산 효율 증가를 위한 기판 크기의 대형화가 이루어지고 있다. 또한, 소자의 집적도를 높이기 위하여 높은 종횡비(aspect ratio)를 요구하는 공정이 일반화됨에 따라 단일 웨이퍼 내에서의 공정의 균일도(With in wafer uniformity, WIWU) 및 공정이 진행되는 시간에 따른 균일도(Wafer to wafer uniformity)의 변화 양상에 대한 파악을 통한 공정 진단에 대한 요구가 급증하고 있는 현실이다. 반도체 및 LCD 공정에 있어서 공정 균일도의 감시 및 향상을 위하여 박막, 증착, 식각의 주요 공정에 널리 사용되고 있는 플라즈마의 균일도(uniformity)를 파악하고 실시간으로 감시하는 것이 반드시 필요하며, 플라즈마의 균일도를 파악한다는 것은 플라즈마의 기판 상의 공간적 분포(radial direction)를 확인하여 보는 것을 의미한다. 현재까지 플라즈마의 공간적 분포를 진단하는 대표적인 방법으로는 랭뮤어 탐침(Langmuir Probe), 레이저 유도 형광법(Laser Induced Fluorescence, LIF) 그리고 광섬유를 이용한 발광분광법(Optical Emission Spectroscopy, OES)등이 있으나 랭뮤어 탐침은 플라즈마 본연의 상태에서 섭동(pertubation) 현상에 의한 교란, 이온에너지 측정의 한계로 인하여 공정의 실시간 감시에 적합하지 않으며, 레이저 유도 형광법은 측정 물질의 제한성 때문에 플라즈마 내부에 존재하는 다양한 종의 거동을 살필 수 없다는 단점 및 장치의 설치와 정렬(alignment)이 상대적으로 어려워 산업 현장에서 사용하기에 한계가 있다. 본 연구에서는 최소 50 cm에서 최대 400 cm까지 플라즈마 내 측정 거리에서 최대 20 mm 공간 분해가 가능한 광 수광 시스템 및 플라즈마 공정에서의 라디칼의 상태 변화를 분광학적 비접촉 방법으로 계측할 수 있는 발광 분광 분석기를 접목하여 플라즈마 챔버 내의 라디칼 공간 분포를 계측할 수 있는 진단 센서를 고안하고 이를 실 공정에 적용하여 보았다. 플라즈마 증착 및 식각 공정에서 형성된 박막의 두께 및 식각률과 공간 분해발광 분석법을 통하여 계측된 결과와의 매우 높은 상관관계를 확인하였다.

• Journal of the Korean Society of Radiology
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• v.10 no.3
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• pp.161-169
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• 2016

In this study, the proposal to seek ways to reduce the amount of radiation is drawn by comparing and analyzing CT Dose Index(CTDI) on the pediatric head CT which was performed at the busan regional hospitals, to the national diagnostic reference levels. As a result, it was appeared to exceed the amount of the dose recommendation in order of hospital, general hospital and senior general hospital in the hospital-specific classification and from 2 to 5 year, from 1 month to 1 year and from 6 to 10 year in the age-specific classification. In addition, the amount of the dose recommendation was exceed in order of helical, axial and volume in the scan-specific classification. As the results of the scan range reset to match the diagnostic reference level, the dose reduction showed 11.68%, 15.79% and 20.66% in senior general hospital, general hospital and hospital respectively. In the results of analysing patient average scan ranges which does not deviate from the guideline of patient dose recommendation, there was age of 1 month to 1 year, 2 to 5 year and 6 to 10 year of $03.2{\pm}11.8mm$, $110.5{\pm}14.5mm$, and $117.8{\pm}17.2mm$ respectively.

• Journal of the Korean Society for Nondestructive Testing
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• v.30 no.2
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• pp.155-161
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• 2010

Recently, the electromagnetic techniques of the eddy current testing(ECT), alternating current field testing, magnetic flux leakage testing and remote field testing have been used as a nondestructive evaluation method based on the electromagnetic induction. The eddy current testing is now widely accepted as a NDE method for the heat exchanger tube in the electric power industry, chemical, shipbuilding, and military. The ECT system mainly consists of the synthesizer module, analog module, analog-to-digital converter, power supplier, and data acquisition and analysis program. In this study, the synthesizer module and the analog module which are essential to the ECT system were primarily developed. The developed ECT system is basically a multifrequency type which is able to inject the maximum four frequencies based on the frequency and time domain multiplexing method. Conclusively, we confirmed that the EC signal was processed appropriately in each circuit modules, and the Lissajous EC signal was displayed in the impedance plane.

• Resources Recycling
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• v.21 no.1
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• pp.30-40
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• 2012

Electric arc furnace slag is made in ironworks during steel refining, it is been increasing chemical and physical resistibility using ageing method of unstable state of melting steel slag for using concrete's fine aggregates. Which is been changing stable molecular structure of aggregates, it restrains moving of ion and molecule. In Korea, KS F 4571 has been prepared for using the electric arc furnace oxidizing slag to concrete aggregates(EFS). In this study, Electric arc furnace oxidizing slag is used in the PRCC(Polymer Rapid setting Cement Concrete) which is applied a bridge pavement of rehabilitation, largely. The results showed that the increment of compressive strength development by 10- 20%. The flexural strength of EFS-Con increased greatly as the electric arc furnace oxidizing slag changed. The compressive strength and flexural strength developed enough for opening the overlayed EFS-Con to the traffic after 4 hours of EFS-Con placement. The permeability of EFS-Con was evaluated as negligible due to its very low charge passed. Thus, EFS-Con could be used at repairing or overlaying the concrete at fast-track job sites.

• Journal of Physiology & Pathology in Korean Medicine
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• v.33 no.5
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• pp.255-260
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• 2019

Oriental Diagnosis System(ODS) is an artificial intelligence program that utilize entered diagnosis knowledge, determine patient's disease and decide right medicine. The purpose of this study is to find a correlation between pattern Identification in Korean medicine and each sasang types(So-Yang, So-Eum and Tae-Eum) by analyzing ODS diagnosis result. Eventually our study secure availability of using ODS program at clinical training or developing diagnosis program. Subject of this study is 32 students participating in Sasang medical practice(12 subjects were So-Yang, 7 subjects were So-Eum, and 13 subjects were Tae-Eum). We analyze subject's clinical practice result reports by using ODS program and obtained result about pattern Identification. We used SPSS statistics 23 in analyzing the differences of the scores of Eight Principle Pattern Identification, Qi-Blood Pattern Identification, Bing-xie Pattern Identification, and Visceral Pattern Identification in each Sasang types (So-Yang, So-Eum, Tae-Eum). In the case of Heat-moisture, Tae-Eum showed higher score than So-Eum, but So-Yang showed no difference from the other two Sasang types(p<0.05). And in the case of Food-accumulation, Tae-Eum and So-Yang showed significantly higher score than So-Eum(p<0.05). It is hard to generalize the result because subject of this study was not enough. However, we explained correlation between pattern Identification in korean medicine and each sasang types based on quantifiable and objective evidence system. Therefore use of ODS program in student clinical practice training help to understand the relationship and correlation between different pattern Identification and will help standardization of clinical practice education.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.599-601
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• 2009

In currently being adopted as a e-leaning standard, SCORM it is difficult to provide the customized contents to a learner by changing the learner's level at runtime, and to control selective studying. So, we designed and implemented the customized contents organization engine(CCOE) in order to complement SCORM's faults in this paper. The CCOE consists of a level evaluation module, a contents re-organization module and a question item selection module. A level evaluation module evaluates the learner's level based on a question item reaction theory. And a question item selection module selects some random items by each level or by considering the learner's level which is then provided to a studying before evaluation, a section evaluation, and a quiz. And then this module transmits the selected items to the contents reorganization module for providing the quiz. A contents re-organization module selects the customized contents based on the learner's level by searching the tagged difficulty to the content, and creates the sequence with the selected items and the transmitted items from the question item selection module. If proposed in this paper CCOE is applied, the higher effectiveness of learning is expected by providing the customized learning contents based on the re-evaluated learner's level by each section.

• Journal of the Korea Society of Computer and Information
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• v.15 no.9
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• pp.35-46
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• 2010

Sequential pattern mining is one of the essential data mining tasks, and it is widely used to analyze data generated in various application fields such as web-based applications, E-commerce, bioinformatics, and USN environments. Recently data generated in the application fields has been taking the form of continuous data streams rather than finite stored data sets. Considering the changes in the form of data, many researches have been actively performed to efficiently find sequential patterns over data streams. However, conventional researches focus on reducing processing time and memory usage in mining sequential patterns over a target data stream, so that a research on mining more interesting and useful sequential patterns that efficiently reflect the characteristics of the data stream has been attracting no attention. This paper proposes a mining method of sequential patterns over data streams with a gap constraint, which can help to find more interesting sequential patterns over the data streams. First, meanings of the gap for a sequential pattern and gap-constrained sequential patterns are defined, and subsequently a mining method for finding gap-constrained sequential patterns over a data stream is proposed.

• Journal of the Korea Society of Computer and Information
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• v.13 no.5
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• pp.53-67
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• 2008

At present, for reuse of similar domains between feature model and class model. researches of transformation at the model level and of transformation using ontology between two models are being made. but consistent transformation through metamodel is not made. And the factors of modeling transformation targets are not sufficient, and especially, automatic transformation algorithm and supporting tools are not provided so reuse of domains between models is not activated. This paper proposes a method of transformation from feature model to class model using ontology on the metamodel. For this, it re-establishes the metamodel of feature model, class model, and ontology, and it defines the properties of modelling factors for each metamodel. Based on the properties, it defines the profiles of transformation rules between feature mndel and ontology, and between ontology and class model, using set theory and propositional calculus. For automation of the transformation, it creates transformation algorithm and supporting tools. Using the proposed transformation rules and tools, real application is made through Electronic Approval System. Through this, it is possible to transform from the existing constructed feature model to the class model and to use it again for a different development method. Especially, it is Possible to remove ambiguity of semantic transformation using ontology, and automation of transformation maintains consistence between models.