• 대한설비공학회:학술대회논문집
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• 대한설비공학회 2006년도 하계학술발표대회 논문집
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• pp.1244-1249
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• 2006

Because students are spending more time in their classroom for learning and study, indoor air quality problems in school classrooms are very important. when the classroom is built for the first time, namely newly built school, the selection of inside finishing material is directly connected with indoor air quality problems especially with HCHO and TVOC. But until now, there is no plenty of study about this. Moreover, there are some concerns about the desks and chairs which are used in classroom will affect the air quality. but almost no study is being made at all Therefore, this study focuses on the field survey and analysis of classroom indoor air quality in newly built schools in Changwon. In this study filed surveys and analysis are conducted as follows. 1) The effect of the material difference in general classroom. 2) The effect of the material and loading ratio difference in special classroom. 3) The effect of the desks and chairs in general classroom.

• 대한설비공학회:학술대회논문집
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• 대한설비공학회 2006년도 하계학술발표대회 논문집
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• pp.1075-1080
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• 2006

Purpose of this study is proposal of estimating method about window thermal performance that based on KS F 2278 'Test method of thermal resistance for windows and doors' due to material composition of PVC frame window. First step of this study is research of present state about material composition of PVC frame window. Second is selection of main effective elements about window thermal resistance. For example, composition of Glazing, Frame area ratio of total window area, frame width, opening type, area of heat transfer and so on. Third is multiple regression analysis about thermal performance of PVC frame window due to main effective elements. It produces equations of multiple regression analysis due to opening type. Case of sliding window is $Y=0.149+0.034X_g+0.248X_{far}$, 4track sliding is $Y=0.584+0.175X_g+1.355X_{far}-0.008X_{fw}$, Tilt & Turn window is $Y=-0.161+0.076X_g+0.576X_{far}+0.0008X_{fw}$.

• 한국의상디자인학회지
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• 제24권1호
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• pp.35-43
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• 2022

This study aims to analyze the physical properties of non-woven fabric sheets, which continue to grow in the cosmetic market. Non-woven fabric sheets were used as specimens, and a total of 17 samples were analyzed. To evaluate the physical properties of the non-woven fabric sheet, the weight, tensile strength, surface properties, free swell absorption, and wet stiffness were tested. Through the results itw was determined that non-woven fabric sheets for mask packs should be manufactured considering fiber arrangement so that the weight is 40 g/m², and the tensile strength should be maintained near 12 kgf. In addition, it was confirmed that the material selection and process conditions should be adjusted so that the free swell absorption is at least 8 g/g, and the wet stiffness is 200 mg. Therefore, since the non-woven fabrics for the mask sheets can be used in various products depending on fabric composition, this study will be expected to be basic data for the continuous growth of the sheet-type mask packs coming to market.

• 대한조선학회논문집
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• 제58권6호
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• pp.431-439
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• 2021

The Carbon Fiber Reinforced Plastic (CFRP) material is recently widely used in the composite industry with excellent rigidity and lightweight properties. A ship shaft system requires high standards of safety on torsional strength capacity. The purpose of this study is to verify the applicability of a CFRP shaft system to take the place of metal shaft systems for ships from a viewpoint of torsional strength. Selection of materials and manufacturing method are executed then two geometrically scaled CFRP shaft system models were designed and manufactured with three-layer patterns. The models were used for a series of torsion tests under single and repeated torsional loading conditions. Detailed design and manufacturing methods for a CFRP ship shaft system are documented and the torsion test results are listed in this paper. The results of this study could be useful guidelines on the development of CFRP ship shaft systems and a test method.

• 한국기계가공학회지
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• 제21권2호
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• pp.137-143
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• 2022

Composite materials, being light-weight and of high mechanical strength, are increasingly used in various industries such as the aerospace, automobile, sporting-goods manufacturing, and ship-building industries. Recently, manufacturing of composite materials using 3D printers has increased. 3D-printed composite materials are made in free-form and adapted for end-use by adjusting the fiber content and orientation. However, research on the machining of 3D printed composite materials is limited. The aim of this study is to develop a machine learning method to select machining conditions for machining of 3D-printed composite materials. The composite material was composed of Onyx and carbon fibers and stacked sequentially. The experiments were performed using the following machining conditions: spindle speed, feed rate, depth of cut, and machining direction. Cutting forces of the different machining conditions were measured by milling the composite materials. PCA, a method of machine learning, was developed to select the machining conditions and will be used in subsequent experiments under various machining conditions.

• Advances in concrete construction
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• 제13권 2호
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• pp.153-162
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• 2022

Prefabricated exterior wall panel is the main non-load-bearing component of assembly building, which affects the comprehensive performance of thermal insulation and durability of the building. It is of great significance to develop new prefabricated exterior wall panel with durable and lightweight characteristics for the development of energy-saving and assembly building. In the prefabricated sandwich insulation hanging wall panel, the selection of material for the outer layer and the arrangement of the connector of the inner and outer wall layers affect the mechanical performance and durability of the wall panels. In this paper, high performance cement-based composites (HPFRC) are used in the outer layer of the new type wall panel. FRP bars are used as the interface connector. Through experiments and analysis, the influence of the arrangement of connectors on the mechanical behaviors of thin-walled composite wall panel and the panel with window openings under two working conditions are investigated. The failure modes and the role of connectors of thin-walled composite wallboard are analyzed. The influence of the thickness of the wall layer and their combination on the strain growth of the control section, the initial crack resistance, the ultimate bearing capacity and the deformation of the wall panels are analyzed. The research work provides a technical reference for the engineering design of the light-weight thin-walled and durable composite sandwich wall panel.

• 한국지반공학회지:지반
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• 제12권6호
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• pp.185-198
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• 1996

EPS(Expanded Polystyrene)를 이용한 하중경감공법은 초경량재(20~30kg/m3)인 EPS를 본 연구는 보강토 토류벽체의 뒤채움재로서 폐 EPS 조각을 혼합한 경량의 성토재료를 개발, 활용하기 위한 기초연구로서, 우리나라에 광범위하게 분포하는 화강풍화토와 폐 EPS조각을 혼합한 경량성토재에 대해 공학적 특성파악을 위한 기본물성시험을 수행하였고, 또한 국내에서 판매되고 있는 두가지 대표적인 강성 및 연성 지오그리드 보강재에 대해 폐 EPS조각의 혼합비를 변화시 켜가며 실내인발시험을 수행하였으며, 이들 시험결과를 토대로 하여 폐 EPS조각 혼합경량토의 토질공학적 특성과 지오그리드-혼합경량토 사이의 마찰특성을 분석.평가하였다. 또한 본 연구에서는, 인장력 이외에도 다짐하중 및 상재하중 등 수직하중에 의한 압축력이 추가로 동시에 작용하는 경우의 지오그리드의 인장력-변형률 관계를 고려할 수 있는 마찰강도 산정방법을 제시하였으며, 이 방법을 토대로 하여 지오그리드-혼합토 사이의 마찰강도 평가시 적용가능한 보정계수 a1 및 a2 값의 범위를 제시하였다.

• 한국암반공학회:학술대회논문집
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• 한국암반공학회 2006년도 창립 25주년 기념 특별심포지엄
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• pp.59-79
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• 2006

쉴드터널 공사에 있어서 커터도구의 절삭능력은 터널시공의 성패를 좌우하는 주요 변수이기 때문에 지반에 적합한 커터도구의 형상, 규격 및 재질의 선정은 무엇보다 중요하다. 1818년 쉴드공법 발명 이래 암반에 대한 커터도구는 많은 실험과 연구를 통해 발전해 왔으나, 풍화토 및 풍화암 지반에서의 커터도구에 대한 연구는 미진한 상황이다. 본 논고에서는 쉴드공법으로 설계된 서울지하철 7호선 연장 703공구 구간중 최대연장 920m의 풍화대 지반에 대하여 굴착중 커터도구의 무교체 시공과 굴착효율 증진을 위한 커터의 선정을 위하여 커터의 형상 및 재질에 대한 비교 분석을 하였으며, 그 선정사유에 대하여 소개하였다. 또한 국내외로 연구가 미진하였던 풍화토 및 풍화암 지반에서의 커터 마모량 평가방법을 제시하여 설계의 타당성을 검증하였으며, 특히 해외의 시공사례에 대한 분석을 통하여 커터 종류에 따른 지반별 마모계수를 제시하였다.

• Asian-Australasian Journal of Animal Sciences
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• 제16권1호
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• pp.116-123
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• 2003

Forages are the most important feed resource for ruminants worldwide, whether fed as pastures, forage crops or conserved hay, silage or haylage. There is large variability in the quality of forages so measurement and prediction of feeding value and nutritive value are essential for high levels of production. Within a commercial animal production system, methods of prediction must be inexpensive and rapid. At least 50% of the variation in feeding value of forages is due to variation in voluntary feed intake. Identification of the factors that constrain voluntary feed intake allows these differences to be managed and exploited in forage selection. Constraints to intake have been predicted using combinations of metabolic and physical factors within the animal while simple measurements such as the energy required to shear the plant material are related to constraints to intake with some plant material. Animals respond to both pre- and post-ingestive feedback signals from forages. Pre-ingestive signals may play a role in intake with signals including taste, odour and texture together with learned aversions to nutrients or toxins (post-ingestive feedback signals). The challenge to forage evaluation is identification of the factors which are most important contributors to these feedback signals. Empirical models incorporating chemical composition are also widely used. The models tend to be useful within the ranges of the datasets used in their development but none can claim to have universal application. Mechanistic models are becoming increasingly complex and sophisticated and incorporate both feed characteristics and use of biochemical pathways within the animal. Improvement in utilisation through the deliberate selection of pasture plants for high feeding value appears to have potential and has been poorly exploited. Use of Near Infrared Reflectance Spectroscopy is a simple method that offers significant potential for the preliminary screening of plants with genetic differences in feeding value. Near Infrared Reflectance Spectroscopy will only be as reliable as the calibration sets from which the equations are generated.

• 정보관리학회지
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• 제21권3호
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• pp.251-267
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• 2004

이 연구에서는 전통적인 인쇄매체 환경에서 지식에 대해 지역적인 접근법을 제공하는 권말색인과 목차의 기능에 착안하여 용어 클러스터링 실험과 클러스터 대표어 선정 실험을 통해 개별문서의 지식구조 자동 생성 기법을 제안하였다. 자동 생성된 지식구조가 갖는 기능성을 평가하여 정보 검색 환경에서의 적용 가능성을 확인하였다. 용어 클러스터링 실험에서는 워드 기법의 성능이 중복 분류를 허용하는 퍼지 K-means 클러스터링 기법에 비해 높았으며, 클러스터 대표어 선정 기법으로는 단락빈도를 이용한 경우가 가장 좋은 성능을 나타냈다. 또한, 이용자 태스크를 기반으로 하여 최종적으로 생성된 지식구조의 기능성을 평가한 결과, 이 연구에서 자동 생성된 지식구조가 인쇄매체 환경에서의 권말색인과 목차가 갖는 기능을 어느 정도 수행한다는 것을 입증하였다.