• Smart Structures and Systems
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• 제8권2호
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• pp.173-190
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• 2011

As a practical and effective seismic resisting technology, the base isolation system has seen extensive applications in buildings and bridges. However, a few problems associated with conventional lead-rubber bearings have been identified after historical strong earthquakes, e.g., excessive permanent deformations of bearings and potential unseating of bridge decks. Recently the applications of shape memory alloys (SMA) have received growing interest in the area of seismic response mitigation. As a result, a variety of SMA-based base isolators have been developed. These novel isolators often lead to minimal permanent deformations due to the self-centering feature of SMA materials. However, a rational design approach is still missing because of the fact that conventional design method cannot be directly applied to these novel devices. In light of this limitation, a displacement-based design approach for highway bridges with SMA isolators is proposed in this paper. Nonlinear response spectra, derived from typical hysteretic models for SMA, are employed in the design procedure. SMA isolators and bridge piers are designed according to the prescribed performance objectives. A prototype reinforced concrete (RC) highway bridge is designed using the proposed design approach. Nonlinear dynamic analyses for different seismic intensity levels are carried out using a computer program called "OpenSees". The efficacy of the displacement-based design approach is validated by numerical simulations. Results indicate that a properly designed RC highway bridge with novel SMA isolators may achieve minor damage and minimal residual deformations under frequent and rare earthquakes. Nonlinear static analysis is also carried out to investigate the failure mechanism and the self-centering ability of the designed highway bridge.

• 한국정보과학회논문지:소프트웨어및응용
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• 제29권1_2호
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• pp.1-9
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• 2002

진화 신경망은 기존의 경험적 지식 대신에 진화 알고리즘의 전역 탐색 능력을 사용해서 최적의 신경망을 찾는다. 하지만 실세계의 복잡한 문제는 하나의 신경망으로 해결하기 어려운 경우가 많기 때문에 최근에 하나 이상의 신경망을 결합한 다중 신경망에 관한 연구가 활발히 진행되고 있다. 본 논문에서는 진화과정 중 상호보완 가능한 다양한 신경망을 얻기 위한 종분화 방식을 제안한다. 또한 적합도 공유를 통해 종분화된 진화 신경망의 결과를 효과적으로 결합하기 위해 추상 레벨, 순위 레벨, 측정치 레벨의 여러 결합 방법을 이용한 다중 신경망 시스템을 개발한다. UCI 데이터베이스의 벤치마크 문제 중 호주 신용카드 승인 데이터에 대하여 실험한 결과, 종분화를 사용해 탐색한 신경망을 결합한 경우는 더 높은 인식률을 보였으며 Borda 결합의 경우 0.105의 오류율을 보여 제안한 방법이 효과적임을 알 수 있었다.

• 한국수학교육학회지시리즈E:수학교육논문집
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• 제23권3호
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• pp.523-543
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• 2009

수학 교육과 학업의 결과인 수학 학업성취도에 영향을 미치는 주요 변인을 탐색하고 분석하기 위하여 부산의 2개 중학교와 경남의 2개 중학교에 재학 중인 총 484명의 중학교 2학년들을 대상으로 학생들의 가정환경 및 배경, 학생 개인의 성격 및 교우관계, 수학문제 해결을 위한 학습습관, 수업방식과 교사와 관련된 변인, 컴퓨터의 활용도, 수준별 이동수업 등의 학교환경, 사교육의 실태 등을 조사한 설문지를 평가도구로 활용한다. 그리고 최근 주목을 받고 있는 사교육 현황을 지역별로 비교하여 제시한다. 설문자료를 활용하여 통계적 기법인 요인분석을 실행하여 수학 학업성취도에 영향을 미치는 배경변인들을 분석하고 그들의 특징을 제시하여 수학교육 연구자와 중등수학교사들에게 중등수학교육의 질 향상에 기여할 수 있는 기초자료를 제공하며 중등수학교육의 시사점을 제시하고자 한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권5호
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• pp.2277-2298
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• 2019

Adaptive learning in e-learning has garnered researchers' interest. In it, learning resources could be recommended automatically to achieve a personalized learning experience. There are various ways to realize it. One of the realistic ways is adaptive learning path recommendation, in which learning resources are provided according to learners' requirements. This paper summarizes existing works and proposes an innovative approach. Firstly, a learner-centred concept map is created using graph theory based on the features of the learners and concepts. Then, the approach generates a linear concept sequence from the concept map using the proposed traversal algorithm. Finally, Learning Objects (LOs), which are the smallest concrete units that make up a learning path, are organized based on the concept sequences. In order to realize this step, we model it as a multi-objective combinatorial optimization problem, and an improved immune algorithm (IIA) is proposed to solve it. In the experimental stage, a series of simulated experiments are conducted on nine datasets with different levels of complexity. The results show that the proposed algorithm increases the computational efficiency and effectiveness. Moreover, an empirical study is carried out to validate the proposed approach from a pedagogical view. Compared with a self-selection based approach and the other evolutionary algorithm based approaches, the proposed approach produces better outcomes in terms of learners' homework, final exam grades and satisfaction.

• Asian-Australasian Journal of Animal Sciences
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• 제32권11호
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• pp.1705-1714
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• 2019

Objective: Reducing roughage feeding without negatively affecting rumen health is of interest in ruminant nutrition. We investigated the effects of roughage sources and concentrate types on growth performance, ruminal fermentation, and blood metabolite levels in growing cattle. Methods: In this 24-week trial, 24 Hanwoo cattle ($224{\pm}24.7kg$) were fed similar nitrous and energy levels of total mixed ration formulated using two kinds of roughage (timothy hay and ryegrass straw) and two types of concentrate mixes (high starch [HS] and high fiber [HF]). The treatments were arranged in a $2{\times}2$ factorial, consisting of 32% timothy-68% HS, 24% timothy-76% HF, 24% ryegrass-76% HS, and 17% ryegrass-83% HF. Daily feed intakes were measured. Every four weeks, blood were sampled, and body weight was measured before morning feeding. Every eight weeks, rumen fluid was collected using a stomach tube over five consecutive days. Results: The mean dry matter intake (7.33 kg) and average daily gain (1,033 g) did not differ among treatments. However, significant interactions between roughage source and concentrate type were observed for the rumen and blood parameters (p<0.05). Total volatile fatty acid concentration was highest (p<0.05) in timothy-HF-fed calves. With ryegrass as the roughage source, decreasing the roughage inclusion rate increased the molar proportion of propionate and decreased the acetate-to-propionate ratio; the opposite was observed with timothy as the roughage source. Similarly, the effects of concentrate types on plasma total protein, alanine transaminase, Ca, inorganic P, total cholesterol, triglycerides, and creatinine concentrations differed with roughage source (p<0.05). Conclusion: Decreasing the dietary roughage inclusion rate by replacing forage neutral detergent fiber with that from non-roughage fiber source might be a feasible feeding practice in growing cattle. A combination of low-quality roughage with a high fiber concentrate might be economically beneficial.

• 대한의용생체공학회:의공학회지
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• 제37권2호
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• pp.75-83
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• 2016

Nursing staffing is of major interest in hospital management, however, no practical method has been developed. The present study proposed a mathematical model based on the patient classification system for nursing staffing optimization. A few characteristic parameters possibly determined experimentally and/or empirically were introduced followed by systematic calculation of the required number of nurses. An essential concept of the model is the unit work load defined as the amount of nursing work performed on single patient per unit time, where the work load is defined as the number of nursing staffs multiplied by the working hours. The unit work load was considered to vary with the patient classification level as well as the working time during a day, both of which were represented by corresponding parameter values. The number of patients for each class and the number of working hours were multiplied to the unit work load, and added up to obtain the total required work load. As the next step, the averaged number of hours that a nurse could provide per day was formulated considering the degree of nursing practice experience into 3 levels. Finally, the appropriate number of nursing staffs was calculated as the total work load divided by the average working hours per nurse. The present technique has a great advantage that the number of nursing staffs to fulfill the required work load is systematically calculated once the characteristic parameters are appropriately determined, leading to instant and fast evaluation. A practical PC program was also developed to apply the present model to nursing practice.

• 한국독성학회:학술대회논문집
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• 한국독성학회 2006년도 추계학술대회
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• pp.65-74
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• 2006

Modem drug discovery requires rapid pharmacokinetic evaluation of chemically diverse compounds for early candidate selection. This demands the development of analytical methods that offer high-throughput of samples. Naturally, liquid chromatography / tandem mass spectrometry (LC-MS/MS) is choice of the analytical method because of its superior sensitivity and selectivity. As a result of the short analysis time(typically 3-5min) by LC-MS/MS, sample preparation has become the rate- determining step in the whole analytical cycle. Consequently tremendous efforts are being made to speed up and automate this step. In a typical automated 96-well SPE(solid-phase extraction) procedure, plasma samples are transferred to the 96-well SPE plate, internal standard and aqueous buffer solutions are added and then vacuum is applied using the robotic liquid handling system. It takes only 20-90 min to process 96 samples by automated SPE and the analyst is physically occupied for only approximately 10 min. Recently, the ultra-high flow rate liquid chromatography (turbulent-flow chromatography)has sparked a huge interest for rapid and direct quantitation of drugs in plasma. There is no sample preparation except for sample aliquotting, internal standard addition and centrifugation. This type of analysis is achieved by using a small diameter column with a large particle size(30-5O ${\mu}$m) and a high flow rate, typically between 3-5 ml/min. Silica-based monolithic HPLC columns contain a novel chromatographic support in which the traditional particulate packing has been replaced with a single, continuous network (monolith) of pcrous silica. The main advantage of such a network is decreased backpressure due to macropores (2 ${\mu}$m) throughout the network. This allows high flow rates, and hence fast analyses that are unattainable with traditional particulate columns. The reduction of particle diameter in HPLC results in increased column efficiency. use of small particles (<2 urn), however, requires p.essu.es beyond the traditional 6,000 psi of conventional pumping devices. Instrumental development in recent years has resulted in pumping devices capable of handling the requirements of columns packed with small particles. The staggered parallel HPLC system consists of four fully independent binary HPLC pumps, a modified auto sampler, and a series of switching and selector valves all controlled by a single computer program. The system improves sample throughput without sacrificing chromatographic separation or data quality. Sample throughput can be increased nearly four-fold without requiring significant changes in current analytical procedures. The process of Bioanalytical Method Validation is required by the FDA to assess and verify the performance of a chronlatographic method prior to its application in sample analysis. The validation should address the selectivity, linearity, accuracy, precision and stability of the method. This presentation will provide all overview of the work required to accomplish a full validation and show how a chromatographic method is suitable for toxirokinetic sample analysis. A liquid chromatography/tandem mass spectrometry (LC-MS/MS) method developed to quantitate drug levels in dog plasma will be used as an example of tile process.

• 대한치과보철학회지
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• 제47권2호
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• pp.148-155
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• 2009

연구목적: 최근에는 금속도재관의 심미적 문제로 심미성과 강도가 개선된 코아용 도재 및 지르코니아를 이용한 전부도재관 시스템에 관심이 증가되고 있다. 특히 금속과 유사한 강도를 가지면서 금속의 비심미성을 극복할 수 있는 지르코니아를 이용한 보철물의 제작이 국내외에서 많이 이뤄지고 있다. 하지만 CAD/CAM 시스템으로 제작되는 여러 종류의 지르코니아를 이용한 전부도재관의 적합도에 대한 임상 연구는 부족한 실정이다. 다양한 CAD/CAM 시스템 중 Procera, Cerec inLab, Lava에 의해 제작된 지르코니아를 이용한 전부도재관의 변연 적합도와 내면 적합도를 측정하여 이를 전통적인 방식으로 주조된 금속 도재관의 적합도와 비교 평가해 봄으로써 임상 적용에 참고 자료로 활용하고자 한다. 연구 재료 및 방법: 본 연구를 위해 하악 우측 제2소구치에 해당하는 레진치를 삭제하여 인상채득 후, 금속 주모형을 제작하였다. 금속 주모형의 40개의 인상을 채득 후 각 시스템마다 10개씩 총 40개의 crown을 제작하였다. 금속도재관은 전통적인 방식으로 제작하였고 Procera, Lava, Cerec inLab crown은 zirconia core를 이용하여 CAD/CAM 시스템으로 제작하였다. 수직 변연 오차와 내면 간격을 각 그룹마다 금속 주모형에 시멘트 접착 없이 측정하였다. 그 결과는 oneway ANOVA와 Tukey's HSD test로 통계 내었다. 결과: 수직 변연 오차는 금속도재관이 $50.6{\pm}13.9{\mu}m$, Procera crown이 $62.3{\pm}15.7{\mu}m$, Lava crown이 $45.3{\pm}7.9{\mu}m$, Cerec inLab crown은 $71.2{\pm}2.0{\mu}m$로 측정되었다. 내면 간격은 금속도재관이 $52.6{\pm}10.1{\mu}m$, Procera crown이$161.7{\pm}18.5{\mu}m$, Lava crown이 $63.0{\pm}10.2{\mu}m$, Cerec inLab crown이 $73.7{\pm}10.7{\mu}m$로 측정되었다. 변연 적합도 측면에서 볼 때 Procera crown, Lava crown, Cerec inLab 그리고 전통적인 금속도재관은 임상적으로 받아들일 수 있는 적합도 범위($120{\mu}m$) 내에 있었다. 내면 적합도 측면에서 볼 때 Procera crown을 제외한 Lava crown, Cerec inLab, 금속도재관은 임상적으로 받아들일 수 있는 적합도 범위($140{\mu}m$) 내에 있었다.

• KDI Journal of Economic Policy
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• 제13권1호
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• pp.115-134
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• 1991

연금계획(年金計劃)은 그 계획의 형태와 관계없이 경제(經濟) 및 인구(人口)와 여러가지 경로로 상호반응(相互反應)한다. 인구(人口)의 연령구조변화(年齡構造變化)는 연금수급권자(年金受給權者)의 수(數)에 영향을 미치고 인구변화(人口變化)는 노동력(勞動力)의 규모(規模)나 연령구성(年齡構成)에 또한 영향을 미쳐서 연금계획(年金計劃)이 국가재정(國家財政) 또는 국민소득규모(國民所得規模)에 영향을 미치게 된다. 인구변수(人口變數)는 따라서 국민연금계획(國民年金計劃)의 경제적(經濟的) 부담(負擔)과 그 부담을 지탱해 주는 경제력(經濟力) 양자에 영향을 미치게 된다. 그동안의 연금(年金)에 관련된 추계(推計)는 경제적(經濟的) 제변수(諸變數)를 외생변수(外生變數)로 가정(假定)하고 연금재정(年金財政)을 시뮬레이션하여 왔는데 연금기금(年金基金)이 소규모(小規模)인 초기단계(初期段階)에서는 무난한 방법(方法)이라고 볼 수 있지만 공적연금제도(公的年金制度)의 규모가 커지고 연금제도가 경제(經濟) 제변수(諸變數)에 영향을 미치는 단계에서는 이러한 상호반응관계(相互反應關係)를 반영(反映)하여야 한다. 본(本) 모형(模型)은 경제를 인구노동부문(人口勞動部門), 일반경제부문(一般經濟部門), 연금부문(年金部門)으로 3등분하여 상호연계시킴으로써 연금부문내(年金部門內)의 변수(變數)들이 일반경제(一般經濟)에 미치는 효과를 측정할 수 있도록 하여 연금재정운영방식(年金財政運營方式), 연금급부(年金給付)의 실질가치(實質價値) 유지방법(維持方法), 저축행태(貯蓄行態), 연금급부율(年金給付率), 인구구조(人口構造)의 변화(變化) 등 연금제도(年金制度)와 관련한 제변수(諸變數)가 국민경제(國民經濟)에 어떤 영향을 미치는가를 분석(分析)하고 있다. 시뮬레이션의 결과 적립방식(積立方式)의 연금제도도입(年金制度導入)은 본격적인 연금급부(年金給付)가 시작되는 시점(時點)까지는 경제성장(經濟成長)을 오히려 돕는 역할을 수행하는 것으로 나타났고, 연금급부지출(年金給付支出)이 총수입(總收入)을 초과하는 시점(時點) 이후부터는 경제(經濟)에 부담을 가중시켜 경제성장률(經濟成長率)을 둔화시키는 것으로 나타났으며 물가지수연동제(物價指數連動制) 대신에 임금지수연동제(賃金指數連動制)를 도입할 경우 연금급부지출(年金給付支出)이 증대되어 연금재정수지(年金財政收支)를 더 악화시키는 것으로 나타났다. 또한 출생률(出生率) 및 사망률(死亡率) 수준도 장기적인 부담(負擔)을 결정하는 요소로 분석되었다.