A sirocco fan consists of a housing and an impeller with blades. There are many design parameters for improving its performance and efficiency. Thus, the objective of present study is to investigate the effect of blade size(such as blade length and height) and the number of blades on the flow characteristics of a sirocco fan using a commercial CFD software, Star CCM+. From the results of our previous and present study, it is revealed that blade inclination angle and blade height had a great effect on the flow characteristics, such as the static pressure rise and flow rate. There are important factors in improving the flow characteristics, as following order, the blade inclination angle, blade height, blade length, blade radius of curvature, the number of blades. it was obtained that maximum in static pressure rise and flow rate were, respectively, 20.8Pa and 6.41CMM under the our simulation condition.

The government declared ‘2050 carbon neutrality’ as a national vision in October 2020 and subsequently pursued the establishment of a ‘2050 carbon neutrality scenario’ as a follow-up response. Hydrogen is considered as one of the most promising future energy carriers due to its noteworthy advantages of renewable, environmentally friendly and high calorific value. Liquid hydrogen is thus more advantageous for large-scale storage and transportation. However, due to the large difference between the liquid hydrogen temperature and the environment temperature, an inevitable heat leak into the storage tanks of liquid hydrogen occurs, causing boil-off losses and vent of hydrogen gas. Researches on insulation materials for liquid hydrogen are actively being conducted, but research on support design for minimal heat transfer and enhanced rigidity remains insufficient. In this study, to design support structures for liquid hydrogen storage tanks, a thermal-structural coupled analysis technique was developed using Ansys Workbench. Analytical models were created based on the number and arrangement of supports to propose structurally safe support designs.

In this study, the displacement dependence, strength, and energy dissipation capacity of the steel rod damper were evaluated. The test variables are the number of steel rod dampers and the lateral deformation prevention details. From test results, it was evaluated that the displacement dependence conditions in the structural design code were satisfied. The maximum strength and energy dissipation capacity increased linearly as the number of steel rod increased. In addition, the maximum strength and energy dissipation capacity were evaluated by more than 20 times increased by using of the lateral deformation prevention details.

본 연구는 서울시의 강남구, 서초구, 송파구에 소재하고 있는 반일제 이상 교육기관(일명 영어유치원)에 다니는 유아 의 부모를 대상으로, 유아 사교육 수요동기 및 인식, 주거환경 및 사회경제적지위에 대한 인식을 알아보고, 이러한 요인 들이 사교육 참여 개수 및 비용에 미치는 영향을 알아보는 것을 목적으로 하였다. 이를 통해 학부모가 자녀 사교육과 관 련된 요인을 다면적으로 검토하고, 인식을 전환함으로써 과열된 유아 사교육이 완화되는 방안을 모색하였다. 이를 위해 학부모 396명을 대상으로 설문자료를 수집하였으며, IBM SPSS statistics 20 프로그램을 활용하여 자료를 분석하였다. 본 연구의 주요결과는 다음과 같다. 첫째, 학부모의 사교육 수요동기는 자녀의 인적자본을 축적하기 위해, 자녀를 잘 키우고 자, 자녀가 좀 더 나은 졸업장을 획득하게 하고자, 남들이 사교육을 받기 때문에, 자녀가 경쟁우위를 점하게 하고자 하는 순서로 분석되었다. 학부모의 사교육에 대한 인식은 기대감이 높은 반면, 부담감과 의존도는 상대적으로 낮고, 주거환경 보다 사회경제적지위에 대한 인식이 높은 것으로 나타났다. 둘째, 사교육 참여 개수는 자녀를 적게 낳는 만큼 잘 키우고 싶은 마음이 클수록, 부모의 학력과 소득이 높을수록, 자녀의 연령이 올라갈수록 많았다. 사교육비용은 자녀의 인적자본 을 축적하고 싶은 마음이 높을수록, 주거환경이 사교육에 노출되어 있고, 부모의 소득수준과 사교육경험이 있을수록, 자 녀의 연령이 높을수록, 부모가 해외거주 경험이 없을수록 높은 것으로 나타났다. 셋째, 사교육 수요동기 및 사교육 인식 과 사교육비용 간의 관계에서 주거환경 및 사회경제적지위 인식은 매개효과가 있는 것으로 나타났다.

본 연구는 고속 스핀에코 기법의 T2 강조영상 획득에 있어 온도 상승을 최적화하기 위한 에코 개수(echo train length, ETL) 25를 기반으로 재자화 펄스의 범위에 따른 온도 변화와 이에 따른 신호대잡음비(signal to noise ratio, SNR) 분석을 통한 합리적인 영상 파라미터를 제시하고자 하였다. 온도 변화측정은 수소원자 공명주파수(proton resonance frequency shift. PRF) 기법을 활용했으며, 재자화 펄스의 각도(flip angle, FA)에 따른 온도 상승을 측정하였다. 온도 변화는 재자화 펄스 90도 인가 시에 약 0.202±0.023°C로 증가했으며, 이는 최소 FA인 60도(약 0.196±0.024°C)와 가장 유사하게 나타났다. 또한, 그 영상의 SNR은 FA 120도과 150도에 비해 FA 90도에서 약간 감소하는 경향이 나타났지만(약 12.5%), FA 180도와 비교하여 큰 차이는 발생하지 않았다 (FA 90도=349.66±3.68; FA 180도=357.68±3.21). 이 결과들은 고속스핀에코 기법에서 ETL 25를 사용한 빠른 영상획득 시간을 기반으로 합리적인 영상신호와 재자화 펄스에 의한 최소 온도 상승을 나타내며, 이는 인체 MR 안전기준을 충분히 보장하는데 기여할 수 있다. 특히, ETL 25와 결합된 90도 FA 사용은 가속화된 영상획득 시간, 합당한 T2 영상의 SNR, 그리고 최적의 인체 온도 증가를 위한 고속스핀에코 기법에서의 최적화된 영상 파라미터가 될 수 있을 것으로 사료된다.

This paper is a study to improve the energy harvesting output of a TENG(Triboelectric nanogenerator) driven by wind power using fine PTFE(Polytetrafluoroethylene) flakes. The structure of the nanogenerator was manufactured in the cylindrical structure, Al(Aluminium) was attached to the inner wall of the cylinder and the PTFE flakes were rotated by the wind inside the cylinder. The number of contact and separation motions was increased as there are multiple PTFE flakes, resulting in improvement of the harvesting output. Through this, it was evaluated to the energy harvesting output characteristics according to the change in the number of PTFE flakes. Up to the optimum, the energy collection efficiency shows the linear correlation with the increase in PTFE flakes and decreases after that. As the PTFE flakes are more than the optimum, the lowering in the harvesting output is induced by obstructing the flow of wind inside the cylinder.

본 연구에서는 3차원 네트워크 폴리아크릴산나트륨 겔의 가교환경을 변화시켜 기계적 강도 및 팽윤거동을 제어하고 그 물성을 평가하는 연구를 진행하였다. 일반적으로 겔 용액의 가교도가 증가함에 따라 3차원 네트워크 겔의 팽윤비는 감소하고 겔의 기계적 강도는 증가한다. 본 연구에서는 3차원 네트워크 겔 상의 가교개수밀도를 산출하여, 겔화 과정에서 가교환경에 의존하는 중합효율 및 가교효율을 확인하였다. 그 결과, 겔 용액에서 단량체와 가교제의 중량비가 동일하더라도 가교환경이 달라지면 실제 제조된 겔 내부의 가교개수밀도가 3.6배 이상 달라질 수 있음을 확인하였다. 본 연구에서 시도한 가교개수밀도 기반 겔 평가 방법을 활용하면 효과적인 VOCs 흡수제로써 3차원 네트워크 겔을 최적화 할 수 있으리라 기대된다.

본 연구에서는 인공신경망을 이용해 건물 구조물의 가속도계 설치 위치 및 개수를 선정하는 방법을 제안한다. 인공신경망의 입력 층에는 층에 설치되는 가속도계로부터 얻는 가속도이력데이터가 입력되며, 출력층에는 구조물을 정의하는 각 층의 질량과 강성 값을 출력하도록 신경망을 구성한다. 가속도계의 설치 위치 및 개수를 선정하기 위해 여러 설치 시나리오를 가정하고 훈련을 통해 인공신경망을 구한다. 훈련에 사용되지 않은 예제를 이용해 예측 성능을 비교하였다. 센서 개수 및 위치에 따른 예측 성능을 비교하여 설치위치 및 개수를 선정한다. 6층과 10층 예제 적용을 통해 제안하는 방법을 검증하였다.

K-means algorithm is one of the most popular and widely used clustering method because it is easy to implement and very efficient. However, this method has the limitation to be used with fixed number of clusters because of only considering the intra-cluster distance to evaluate the data clustering solutions. Silhouette is useful and stable valid index to decide the data clustering solution with number of clusters to consider the intra and inter cluster distance for unsupervised data. However, this valid index has high computational burden because of considering quality measure for each data object. The objective of this paper is to propose the fast and simple speed-up method to overcome this limitation to use silhouette for the effective large-scale data clustering. In the first step, the proposed method calculates and saves the distance for each data once. In the second step, this distance matrix is used to calculate the relative distance rate (Vｊ) of each data j and this rate is used to choose the suitable number of clusters without much computation time. In the third step, the proposed efficient heuristic algorithm (Group search optimization, GSO, in this paper) can search the global optimum with saving computational capacity with good initial solutions using Vｊ probabilistically for the data clustering. The performance of our proposed method is validated to save significantly computation time against the original silhouette only using Ruspini, Iris, Wine and Breast cancer in UCI machine learning repository datasets by experiment and analysis. Especially, the performance of our proposed method is much better than previous method for the larger size of data.

Predicting a box office gross in the film industry is an important goal. Many works have analyzed the elements of a film making. Previous studies have suggested several methods for predicting box office such as a model for distinguishing people's reactions by using a sentiment analysis, a study on the period of influence of word-of-mouth effect through SNS. These works discover that a word of mouth (WOM) effect through SNS influences customers’ choice of movies. Therefore, this study analyzes correlations between a box office gross and a ratio of people reaction to a certain movie by extracting their feedback on the film from before and after of the film opening. In this work, people’s reactions to the movie are categorized into positive, neutral, and negative opinions by employing sentiment analysis. In order to proceed the research analyses in this work, North American tweets are collected between March 2011 and August 2012. There is no correlation for each analysis that has been conducted in this work, hereby rate of tweets before and after opening of movies does not have relationship between a box office gross.

The object of this study is to improve the straightness in tubular shaft production. Die bearings of 1, 2 and 3 were inserted onto the lower die, respectively. In this study, the tubular shafts at the stage 5 were modelled as the standard and error cases. The error case assumes the production error of raw material. The coefficient of friction was set to the Oil_Cold conditions as referring to the analysis library. In the results, the effective stress was observed homogeneously on the distribution at yoke top in standard case. However, the effective stress was observed on the distribution at long section of yoke in case of the raw material with error. The metal flow line was stretched straight in standard case. On the other hand, the metal flow line was bent in all of error cases. The biggest displacement occurred when only one die bearing was applied. The smallest displacement occurred when two die bearings were applied in lower die.

Currently, researches are being actively conducted in assessing seismic performance of nuclear facilities in USA and Europe. In particular, applying this technique of assessing seismic performance to design of isolation systems in nuclear power plants is being performed and then ASCE 4 Draft (2013) is being revised accordingly in the United States. In order to satisfy the probabilistic performance objectives described by seismic responses with certain confidence levels (ASCE 43, 2005), the probability distributions of these responses have to be defined. What is the minimum number of input ground-motions to obtain the probability distribution precise enough to represent the unknown actual distribution? Theoretical basis, for how to determine the minimum number of input ground-motions for given a logarithmic standard deviation to approximate the unknown actual median of the log-normal distribution within a range of error at a certain level of confidence, is introduced by Huang et al. (2008). However, the relationship between the level of confidence and the range of error is not stated in the previous study. In this paper, based on careful reviews on the previous work, the relationship between the level of confidence and the range of error is logically and explicitly stated. Furthermore, this relationship is also applied to derive the minimum number of input ground-motions in order to approximate the unknown actual logarithmic standard deviation. Several recommendations are made for determining the minimum number of input ground-motions in probabilistic assessment on seismic performance of facilities in nuclear power plants.

풍하중에 취약하며, 모니터링에 다양한 모드가 고려되어야하는 초고층 빌딩에서 최적 센서의 위치 및 최적 개수를 결정하는 문제는 매우 중요하다. 본 논문에서는 고층빌딩의 모니터링을 위한 센서의 최적 개수 및 최적 위치의 결정 방법에 대해 제안한다. Kammer에 의해 제안된 유효영향법(Effective Influence Method)을 이용하여 특정 수의 센서가 설치될 최적의 위치를 결정하며, 추정 모드형상의 정확도에 관한 모니터링 목표 수준을 달성할 수 있는 최소의 센서수를 결정한다. 제안된 알고리즘의 사례연구로 25층의 건 물모형인 켄틸레버 구조물을 선정하여 수치해석을 수행하였다. 해석 결과 센서의 최적 위치 및 최적 개수, 계측 가능한 모드는 합리적으로 결정되는 것을 확인하였다.

This study investigated the effects of reducing the number of options in multiple-choice items on the psychometric characteristics of the English section of the NAEA (National Assessment of Educational Achievement). The purpose of the NAEA is to measure educational progress and achievement and it is administered to all sixth, ninth, and eleventh grade Korean students annually. The English section for the ninth graders is the focus of this study; it is made up of thirty-four five-option multiple-choice items and six constructed-response items. A five-option, multiple-choice English test was converted to a four- and a three-option version by eliminating the least and the second least frequently chosen options. Item difficulty, item discrimination, guessing, reliability, and information function were computed as a function of the number of options. This study employed the 3-parameter IRT model. Results showed that there were no significant differences among the three means of item difficulty as well as item discrimination indices; however, the inspection of the test information function indicated that the five-option version generally yielded the highest amount of test information function over the ability scale. Results indicate that streamlined three- or four-option versions are not likely to function as well as the five-option version at the test level.