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도심 엔터테인먼트형 복합상업시설 지하공간에 자연요소를 이용한 실내 환경디자인 방안에 관한 연구 (A Study on Application of the Interior Environmental Design Using Natural Elements in Underground Space of Urban Entertainment Center)

  • 하미경;김아현;이효창
    • 한국실내디자인학회논문집
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    • 제22권2호
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    • pp.157-166
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    • 2013
  • The underground space of urban entertainment center can do various roles for urban development. Especially, the design of underground space using natural elements is necessary to sustainable development of facilities. The purpose of this study is to propose the elements, characteristics and application around interior environmental design using natural elements in underground space of urban entertainment center. The research methods of this study are research references, survey and field-study. This study can be concluded as follows; First, the factors of interior environmental design using natural elements in underground space of urban entertainment center are 'landmarks expression of natural elements', 'introduction and planning of daylighting', 'planning of materials using natural images', 'planning of ecological footpath' and 'planning of energy recycling'. Second, pedestrian space and openspace considering regional context are necessary. Third, introduction of daylight and design of artificial lighting in underground space are needed to making eco-friendly environment. Fourth, landmark design using various natural elements in underground space is needed to provide eco-friendly amenity. Fifth, the interior environmental design using natural elements is needed to community space in underground space. Sixth, eco-friendly pedestrian space in underground space is necessary. Seventh, interior environmental design using natural elements is needed to the entrance of underground space of urban entertainment center.

바이모달 음성인식의 음성정보와 입술정보 결합방법 비교 (Comparison of Integration Methods of Speech and Lip Information in the Bi-modal Speech Recognition)

  • 박병구;김진영;최승호
    • 한국음향학회지
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    • 제18권4호
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    • pp.31-37
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    • 1999
  • 잡음환경에서 음성인식 시스템의 성능을 향상시키기 위해서 영상정보와 음성정보를 이용한 바이모달(bimodal)음성인식이 제안되어왔다. 영상정보와 음성정보의 결합방식에는 크게 분류하여 인식 전 결합방식과 인식 후 결합방식이 있다. 인식 전 결합방식에서는 고정된 입술파라미터 중요도를 이용한 결합방법과 음성의 신호 대 잡음비 정보에 따라 가변 입술 파라미터 중요도를 이용하여 결합하는 방법을 비교하였고, 인식 후 결합방식에서는 영상정보와 음성정보를 독립적으로 결합하는 방법, 음성 최소거리 경로정보를 영상인식에 이용 결합하는 방법, 영상 최소거리 경로정보를 음성인식에 이용 결합하는 방법, 그리고 음성의 신호 대 잡음비 정보를 이용하여 결합하는 방법을 비교했다. 6가지 결합방법 중 인식 전 결합방법인 파라미터 중요도를 이용한 결합방법이 가장 좋은 인식결과를 보였다.

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노래 가사 바꿔 부르기를 활용한 수업이 초등학생의 환경감수성에 미치는 영향 (Effects on Environmental Sensitivity of Elementary Students through Method of Rephrasing Lyrics of Songs)

  • 김지윤;배영부;최돈형
    • 한국환경교육학회지:환경교육
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    • 제24권4호
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    • pp.1-10
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    • 2011
  • The purpose of this study is to investigate effects of environmental education using method of rephrasing lyrics of songs on environmental sensitivity. In order to perform this study, 60 sixth-grade students in an elementary school in Seoul are selected and divided into two groups. Half of the students belong to the experimental group which undergoes environmental education using method of rephrasing lyrics of songs. The others are in the control group which gets traditional environmental education with textbook. A questionnaire was used to survey effects of environmental education using method of rephrasing lyrics of songs. The results of this study are as follows: First, it is found that the environmental education using method of rephrasing lyrics of songs is effective on building up the environmental sensitivity. Second, the environmental education using method of rephrasing lyrics of songs is effective on 4 domains of the environmental sensitivity - positive reception, expectation, disagreeableness and anger for environment and environmental problems. Moreover, the environmental education using method of rephrasing lyrics of songs makes the students in the experimental group have pro-environmental attitudes and behavior. This study revealed that using method of rephrasing lyrics of songs could be effective on the environmental education. Therefore, we have to provide a variety of chances using this method to enhance the environmental sensitivity.

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PREDICTION OF THE REACTOR VESSEL WATER LEVEL USING FUZZY NEURAL NETWORKS IN SEVERE ACCIDENT CIRCUMSTANCES OF NPPS

  • Park, Soon Ho;Kim, Dae Seop;Kim, Jae Hwan;Na, Man Gyun
    • Nuclear Engineering and Technology
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    • 제46권3호
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    • pp.373-380
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    • 2014
  • Safety-related parameters are very important for confirming the status of a nuclear power plant. In particular, the reactor vessel water level has a direct impact on the safety fortress by confirming reactor core cooling. In this study, the reactor vessel water level under the condition of a severe accident, where the water level could not be measured, was predicted using a fuzzy neural network (FNN). The prediction model was developed using training data, and validated using independent test data. The data was generated from simulations of the optimized power reactor 1000 (OPR1000) using MAAP4 code. The informative data for training the FNN model was selected using the subtractive clustering method. The prediction performance of the reactor vessel water level was quite satisfactory, but a few large errors were occasionally observed. To check the effect of instrument errors, the prediction model was verified using data containing artificially added errors. The developed FNN model was sufficiently accurate to be used to predict the reactor vessel water level in severe accident situations where the integrity of the reactor vessel water level sensor is compromised. Furthermore, if the developed FNN model can be optimized using a variety of data, it should be possible to predict the reactor vessel water level precisely.

다중선형회귀분석에 의한 계절별 저수지 유입량 예측 (Forecasting of Seasonal Inflow to Reservoir Using Multiple Linear Regression)

  • 강재원
    • 한국환경과학회지
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    • 제22권8호
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    • pp.953-963
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    • 2013
  • Reliable long-term streamflow forecasting is invaluable for water resource planning and management which allocates water supply according to the demand of water users. Forecasting of seasonal inflow to Andong dam is performed and assessed using statistical methods based on hydrometeorological data. Predictors which is used to forecast seasonal inflow to Andong dam are selected from southern oscillation index, sea surface temperature, and 500 hPa geopotential height data in northern hemisphere. Predictors are selected by the following procedure. Primary predictors sets are obtained, and then final predictors are determined from the sets. The primary predictor sets for each season are identified using cross correlation and mutual information. The final predictors are identified using partial cross correlation and partial mutual information. In each season, there are three selected predictors. The values are determined using bootstrapping technique considering a specific significance level for predictor selection. Seasonal inflow forecasting is performed by multiple linear regression analysis using the selected predictors for each season, and the results of forecast using cross validation are assessed. Multiple linear regression analysis is performed using SAS. The results of multiple linear regression analysis are assessed by mean squared error and mean absolute error. And contingency table is established and assessed by Heidke skill score. The assessment reveals that the forecasts by multiple linear regression analysis are better than the reference forecasts.

퍼지동조 속도관측기를 이용한 직류서보전동기의 저속운전 특성 개선 (Improvement of Low Speed Operation Characteristic of DC Servo Motor Using a Fuzzy Tuning Speed Observer)

  • 안창환
    • 전기학회논문지P
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    • 제57권3호
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    • pp.244-249
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    • 2008
  • This paper deals with speed control of DC servo motor using a Fuzzy tuning observer. Speed sensor detect a speed of rotor continuously. But it have a limit as a driving speed to detect speed precisely. So it is problem to improve the performance of the driving system. To solve the problem, it is studied to detect a speed of DC motor without sensor. In particular, study on the method to estimate the speed using the observer is performed a lot. In this parer, the gain of the observer is properly set up using the fuzzy observer. The fuzzy observer has a superior transient characteristic and is easy to implement compared the existing method is designed. It estimate the derivative of the armature current directly using the armature current measured in the DC motor. It estimate the speed of the rotor using the differentiation. It is proposed speed sensorless control method using the estimated speed. Optimal gain of Luenberger observer is set up using the fuzzy observer and adapted speed control of DC servo motor low speed operation. It is proved excellence and feasibility of the presented observer from the comparison tested a case with a speed sensor and a case without a speed sensor which used a highly efficient drive and 200W DC servo motor starting system.

멀티미디어를 활용한 지구계 수업이 초등학생들의 환경민감도 및 환경 친화적 행동에 미치는 영향 (The Effects of Earth System Education Using Multimedia on Elementary School Student's Environmental Sensitivity and Pro-environmental Behavior)

  • 김순식;이용섭
    • 대한지구과학교육학회지
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    • 제7권2호
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    • pp.266-275
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    • 2014
  • The purpose of this study was to examine the effect of Earth System Education using multimedia on the elementary school students' environmental sensitivity and pro-environmental behavior. To verify this research problem, the subject of this study was fifth-grade students selected from two classes of M elementary school located in Busan city. For three months, the experimental group of 25 students was taught using multimedia. The comparison group also of 26 students was taught in normal classes which used a text-book. All students were given pre and post test to verify the effects of Earth System Education using multimedia on elementary school student's environmental sensitivity and pro-environmental behavior. The results from this study are as the following. First, Earth System Education using multimedia were effective on elementary school student's environmental sensitivity. Second, Earth System Education using multimedia were effective on elementary school student's pro-environmental behavior. Third, All most all experimental students were satisfied with Earth System Education using multimedia. In conclusion, Earth System Education using multimedia showed very positive effects on improvement of elementary school students' environmental sensitivity and pro-environmental behavior.

오리엔트 잎담배 부산물(scraps)을 이용한 판상엽 제조 (Manufacture of Sheet Tobacco Using Orient Scraps)

  • 김용옥;김기환;김천석;박영수;이태호
    • 한국연초학회지
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    • 제19권1호
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    • pp.51-56
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    • 1997
  • This experiment was conducted to reduce the cost of orient leaf using izmir, samsun and basma scraps in cigarettes manufacturing process. We manufactured rolled and paper sheet tobacco using orient scraps and substituted orient leaf in Pine tree to the rolled and paper sheet tobacco using orient scraps. Orient scraps were lower in total sugar, total sugar/nicotine and total nitrogen/nicotine, higher in nicotine and crude ash than those of orient leaves. Izmir and basma scraps were higher of 2-methyl butanoic, 3-methyl butanoic and 3-methyl pentanoic acid, but the chemical contents in samw scraps were lower than those of orient leaves. The specific gravity thickness, flness index, filling value were similar between orient scraps blended sheet tobacco and present sheet tobacco. The physical characteristics of orient scraps blended sheet tobacco were within Present sheet tobacco quality specification. The sheet tobacco using orient scraps was higher 2-metal butanoic, 3-methyl butanoic and 3-methyl pentanoic acid than those of present sheet tobacco. The rolled processed sheet tobacco using orient scraps was higher 2-methyl butanoic, 3-methyl butanoic and 3-methyl Pentanoic acid than those of paper sheet tobacco using orient scraps. The sample cigarettes using orient scraps sheet tobacco were lower 2-methyl butanoic, 3-mettwl butanoic and 3-mettwl Pentanoic acid than those of control cigarettes. The result of sensory test showed no great difference compared with sample of orient scraps and control cigarettes. This result shows that we can possible to substitute orient leaf to orient scraps to reduce the cost of orient leaf.

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Identification of user's Motion Patterns using Motion Capture System

  • Jung, Kwang Tae;Lee, Jaein
    • 대한인간공학회지
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    • 제33권6호
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    • pp.453-463
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    • 2014
  • Objective:The purpose of this study is to identify motion patterns for cellular phone and propose a method to identify motion patterns using a motion capture system. Background: In a smart device, the introduction of tangible interaction that can provide new experience to user plays an important role for improving user's emotional satisfaction. Firstly, user's motion patterns have to be identified to provide an interaction type using user's gesture or motion. Method: In this study, a method to identify motion patterns using a motion capture system and user's motion patterns for using cellular phone was studied. Twenty-two subjects participated in this study. User's motion patterns were identified through motion analysis. Results: Typical motion patterns for shaking, shaking left and right, shaking up and down, and turning for using cellular phone were identified. Velocity and acceleration for each typical motion pattern were identified, too. Conclusion: A motion capture system could be effectively used to identify user's motion patterns for using cellular phone. Application: Typical motion patterns can be used to develop a tangible user interface for handheld device such as smart phone and a method to identify motion patterns using motion analysis can be applied in motion patterns identification of smart device.

A Study on the Maximizing Coverage for Recommender System

  • 이희춘;이석준;박지원;김철승
    • 한국데이터정보과학회:학술대회논문집
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    • 한국데이터정보과학회 2006년도 추계 학술발표회 논문집
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    • pp.119-128
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    • 2006
  • The similarity weight, the pearson's correlation coefficient, which is used in the recommender system has a weak point that it cannot predict all of the prediction value. The similarity weight, the vector similarity, has a weak point of the high MAE although the prediction coverage using the vector similarity is higher than that using the pearson's correlation coefficient. The purpose of this study is to suggest how to raise the prediction coverage. Also, the MAE using the suggested method in this study was compared both with the MAE using the pearson's correlation coefficient and with the MAE using the vector similarity, so was the prediction coverage. As a result, it was found that the low of the MAE in the case of using the suggested method was higher than that using the pearson's correlation coefficient. However, it was also shown that it was lower than that using the vector similarity In terms of the prediction coverage, when the suggested method was compared with two similarity weights as I mentioned above, it was found that its prediction coverage was higher than that pearson's correlation coefficient as well as vector similarity.

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