• 한국실내디자인학회논문집
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• 제23권3호
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• pp.83-91
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• 2014

As a applied art, Architecture is a synthetic art for dwelling and settlement. It has started with the origin of the human. and Artistical-technological indicator, include not only materiality but also immateriality such as history and society. After 20C, various categories of thinking is a undergoing rapid change. especially, beginning in 1900, The intrinsic value of "Fine Art" had lost their competitive power in the face of industrial revolution's mass production. and it has been displaced by a "new concept", such as a conveyance of meaning or rational way of thinking. This change means free from the tradition and custom of a past. for that reasons, Due to the nature of applied art, it always include design symbolism and designer's thinking is mainly processed in their own system of thinking. Symbolism for the art was distinguished from a general concept by the connotative meaning that called "the dual image". Therefore, at the start, this study will define about design and symbolism with a architecture as a applied art. then, Analysis the expression tendency of the contemporary architecture and modification. as a result, It aim to systematize mapping process and suggest the classification of various visual cue.

• 농업과학연구
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• 제37권3호
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• pp.515-522
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• 2010

The purpose of this research was to construct an efficient management system in developing and supplying a 'management standard diagnostic table' for the improvement of chestnut cultivation farmhouse. 'Chestnut management standard diagnostic table' were based from the actual condition of chestnut management in Chungcheongnam-do, selected 'appraisal factor item and by consulting 'agricultural plant standard diagnostic table' and various kinds of data which had already been developed. This research also consulted the classification systems and degree of importance. The developed 'Chestnut management diagnostic table' consisted of 3 first classified items, 19 second classified items and 2 product indicator items.

• 한국식품영양학회지
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• 제10권3호
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• pp.414-421
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• 1997

먹거리의 국제화에 따라 식품이나 식품원료의 수입이 급증하고 식품규제에 대하여 국제적 조율이 강조되는 등 먹거리를 둘러싼 환경이 크게 변하고 있다. 식품산업도 고품질을 유지하면서 안전성을 확보하는 것이 시급해졌는데 안전성 확보에는 미생물학적, 물리적 위해(이물질 혼입 등)와 함께 식품첨가물, 잔류농약 등의 화학적 위해분석을 빠뜨릴 수 없다. 이들 먹거리의 안전성 평가기술의 대표적인 것이 HACCP이다. HACCP절차는 식품가공과 식품저장의 모든 형태에서 식품안전을 확인하는 필수요소이다. 전통적인 최종제품검사가 품질 결함을 찾아내기 위한 것이라면 HACCP은 식품의 안전성 결함을 방지하기 위하여 제품계통이나 가공인자 그리고 실제운전에 규제사항을 설계하는 것이다. 본보는 HACCP시스템에 필요한 기기를 중점적으로 요약한 것이다.

• 화약ㆍ발파
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• 제22권2호
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• pp.33-43
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• 2004

풍화암은 일반적으로 6단계로 분류된다. 본 연구에서는 풍화도에 따라 등급 I에서 등급 V의 암석 블록을 장수지역에서 채취하였다. 등급 VI는 본 연구대상에서 제외되었다. 풍화도의 증가에 따른 화학적 풍화지수의 변화량은 물리적, 역학적 물성변화에 비하여 매우 미소한 변화를 보였으며, 풍화도의 증가는 강도, 경도, 탄성파속도, 내구성과 같은 물리적 역학적 물성에 의하여 잘 지시되었다. 특히 흡수율과 공극률은 매우 좋은 지수이다. 풍화의 진행에 따라, 암석에 포함되어 있는 크랙의 양은 암석의 변형에 영향을 끼친다. 그러므로 풍화암의 응력변형률 곡선은 신선한 암과 상당한 차이를 보였다.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2001년도 봄 학술발표회 논문집
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• pp.249-256
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• 2001

Optical Color Corescanner firstly developed by DMT-GeoTec, Germany and further upgraded through the Korea-Germany joint project is capable of duplicating the core surfaces. The tool uses a digital CCD line camera. As the core is rotated by an electric motor, the camera scans the uppermost line, everytime with a circumferential increment of up to 0.05mm(20pixels/mm) and hence a complete 360$^{\circ}$ unwrapped image(core image) is produced. This paper illustrated diverse research benefits of such core images from several test sites in our country. All scanned images could be stored as a data-base one and easily used with software facilities \circled1 to evaluate a percental distribution of mineral components or grain size etc. not only for the rock classification but also for e.g. the assessment of building stones, \circled2 to study potential reservoirs as a hydrocarbon indicator using ultraviolet fluorescence reflection from cores, \circled3 to facilitate the qualitative and quantitative analysis of fractures, \circled4 to evaluate the fractures and thin bedded reservoirs using spectral color responses. Based on abundant scanning experiments, it would seem that this imaging work should lead to reflecting the future trend in underground survey toward a more comprehensive understanding of the properties and behaviors of in situ rocks.

• 한국전자통신학회논문지
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• 제15권2호
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• pp.335-342
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• 2020

ESS(초기고장배제)는 제품생산 간 유입되는 '잠재결함'을 제거하기 위한 중요한 생산 프로세스로서 최근에는 방위사업 분야에서도 제품에 대한 필수 품질요구조건으로서 QAR(품질보증요구서)에 포함되고 있으나, 무기체계의 분류 및 작성자에 따라 내용 및 작성양식이 상이하거나, 중요한 요소가 누락되는 사례가 빈번하게 식별되고 있다. 따라서 본 논문에서는 MIL-HDBK-344A 기반의 정량적인 ESS 요구사항 표준안을 제시하여 QAR의 일관성 및 완전성을 보장하고, 잠재결함 제거 효과 파악을 위한 지표인 결함유도효율(PE) 산출 시 용이성을 확보하고자 한다.

• Tuberculosis and Respiratory Diseases
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• 제83권3호
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• pp.195-200
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• 2020

The disease concept of interstitial lung disease with idiopathic pulmonary fibrosis at its core has been relied on for many years depending on morphological classification. The separation of non-specific interstitial pneumonia with a relatively good prognosis from usual interstitial pneumonia is also based on the perception that morphology enables predict the prognosis. Beginning with dust-exposed lungs, initially, interstitial pneumonia is classified by anatomical pathology. Diagnostic imaging has dramatically improved the diagnostic technology for surviving patients through the introduction of high-resolution computed tomography scan. And now, with the introduction of therapeutics, the direction of diagnosis is turning. It can be broadly classified into to make known the importance of early diagnosis, and to understand the importance of predicting the speed of progression/deterioration of pathological conditions. For this reason, the insight of "early lesions" has been discussed. There are reports that the presence or absence of interstitial lung abnormalities affects the prognosis. Searching for a biomarker is another prognostic indicator search. However, as is the case with many chronic diseases, pathological conditions that progress linearly are extremely rare. Rather, it progresses while changing in response to environmental factors. In interstitial lung disease, deterioration of respiratory functions most closely reflect prognosis. Treatment is determined by combining dynamic indicators as faithful indicators of restrictive impairments. Reconsidering the history being classified under the disease concept, the need to reorganize treatment targets based on common pathological phenotype is under discussed. What is the disease concept? That aspect changes with the discussion of improving prognosis.

• 생명과학회지
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• 제10권2호
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• pp.169-176
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• 2000

At Koppl area, undamaged natural habitat of sundew, I have analysed interspecific affinities and community composition through mathematical method and important environmental factors. Interspecific affinities of the species with frequency of more than 5% in vegetation table were analysed through chi-square test and showed obvious group of Drosera rotundifolia, Vaccinium uliginosum, Calluna vulgaris, Eriophorum angustifolium and 21 species. The result of ordination anlysis using DECORANA of VESPAN II showed eigenvalue of 0.6047 for axis I, 0.2024 for axis II and 0.0763 for axis Ⅲ. And it divided into 4 groups of quadrat number 1-5 for Sphagnum squarrosum-community, 6-10 for Crepis paludosa-community. 11-25 for Carex panicea-community and 26-35 for Scorpidium scorpioides-community. By the classification using TWINSPAN, the 7 areas divided into 2 groups of 1-10 and 11-35 at first level of division with high eigenvalue of 0.588 and indicator was Sphagnum squarrosum. At second level of division it divided into 4 groups as the results of DECORANA with eigenvalues of 0.268 and 0.423 and indicators were Pinguicula vulgaris and Scorpidium scorpioides. Microclimatic environment of studied area was low in temperature and high in humidity and soil environment showed high in field moisture capacity, acid, high organic matter content, low NO3 and K2O content, compare to normal soil, and high ground water level.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2014년도 추계학술발표대회
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• pp.928-931
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• 2014

The detection of human behavior from social media revolutionized health, business, criminal and political prediction. Significance of it, in incentive transformation of public opinion had already proven for developed countries in improving democratic process of elections. In $3^{rd}$ World countries, voters poll votes for personal interests being unaware of party manifesto or national interest. These issues can be addressed by social media, resulting as ongoing process of improvement for presently adopted electoral procedures. On the optimistic side, people of such countries applied social media to garner support and campaign for political parties in General Elections. Political leaders, parties, and people empowered themselves with social media, in disseminating party's agenda and advocacy of party's ideology on social media without much campaigning cost. To study effectiveness of social media inferred from individual's political behavior, large scale analysis, sentiment detection & tweet classification was done in order to classify, predict and forecast election results. The experimental results depicts that social media content can be used as an effective indicator for capturing political behaviors of different parties positive, negative and neutral behavior of the party followers as well as party campaign impact can be predicted from the analysis.

• Environmental Engineering Research
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• 제24권3호
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• pp.404-411
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• 2019

In this study, we designed a data-driven model to predict chlorophyll-a using M5P model tree and extreme learning machine (ELM). The Juksan weir in the Youngsan River has high chlorophyll-a, which is the primary indicator of algal bloom every year. Short-term algal bloom prediction is important for environmental management and ecological assessment. Two models were developed and evaluated for short-term algal bloom prediction. M5P is a classification and regression-analysis-based method, and ELM is a feed-forward neural network with fast learning using the least square estimate for regression. The dataset used in this study includes water temperature, rainfall, solar radiation, total nitrogen, total phosphorus, N/P ratio, and chlorophyll-a, which were collected on a daily basis from January 2013 to December 2016. The M5P model showed that the prediction model after one day had the highest performance power and dropped off rapidly starting with predictions after three days. Comparing the performance power of the ELM model with the M5P model, it was found that the performance power of the 1-7 d chlorophyll-a prediction model was higher. Moreover, in a period of rapidly increasing algal blooms, the ELM model showed higher accuracy than the M5P model.