• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.3
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• pp.384-390
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• 2020

The reverberation effect on the sound when producing movies or VR contents is a very important factor in the realism and liveliness. The reverberation time depending the space is recommended in a standard called RT60(Reverberation Time 60 dB). In this paper, we propose a scene recognition technique for automatic reverberation editing. To this end, we devised a classification model that independently trains color images and predicted depth images in the same model. Indoor scene classification is limited only by training color information because of the similarity of internal structure. Deep learning based depth information extraction technology is used to use spatial depth information. Based on RT60, 10 scene classes were constructed and model training and evaluation were conducted. Finally, the proposed SCR + DNet (Scene Classification for Reverb + Depth Net) classifier achieves higher performance than conventional CNN classifiers with 92.4% accuracy.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.322-322
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• 2022

유역 모형은 강우가 유출에 이르는 과정을 수문학적으로 재현해낼 수 있는 도구이다. 초기의 모형은 간단한 수준에서 유출과정을 모의하는데 그쳤으나, 기술이 발전함에 따라 유역 모형에 적용되는 매개변수의 수가 점차 늘어나게 되며 이론적 신뢰성과 복잡성을 동시에 갖게 되었다. 유역 모형은 집중형 모형과 분포형 모형으로 대별할 수 있는데, 기존에는 저류 함수법을 근간으로 하는 개념 기반의 HEC-HMS HEC-RAS 등과 같은 집중형 모형을 널리 사용한 반면, 점차 격자 기반에서 물리적 계산을 통해 유출 과정을 모의할 수 있는 GSSHA, Vflo, SWAT과 같은 분포형 모형의 활용이 늘어나고 있는 추세이다. 집중형 모형은 관측자료를 통해 산정된 경험식에 의존하고 있는 반면, 분포형 모형의 경우 각 격자가 가지고 있는 시·공간적 매개변수를 통해 물리적으로 유출과정을 계산하여 신뢰성을 확보하기에 유리하며, 미계측 유역에서도 활용이 가능하다. 지하수는 유역 모형의 댜양한 매개변수들 중 지표면 유출량에 밀접한 영향을 미치는 인자이다. 그럼에도 아직까지 경험식에 의존한 집중형 모형이 주를 이루고 있는 국내에서는 분포형 모형에 적용가능한 매개변수 최적화에 대한 연구는 미진한 실정이다. 이에 본 연구에서는 분포형 유역 모형의 침투모의 과정에 관여하는 공간 매개변수 중 밀접한 연관을 띠고 있는 대수층 깊이에 대하여 분석하였다. 여러 공간매개변수 중 침투능과 관계가 깊은 대수층 깊이에 대해 가장 적합한 매개변수 값을 도출해 내는 것이 본 연구의 최종 목적이라고 할 수 있으며, 분석은 국내 자연하천 유역을 대상으로 분포형 유역 모형에 일반적인 수준으로 적용할수 있는 범위를 검토하였다. 본 연구를 통하여 분포형 유역 모형에서 하나의 매개변수인 대수층 깊이의 정량화에 기여되기를 바란다.

• Clinical and Experimental Pediatrics
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• v.52 no.10
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• pp.1136-1139
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• 2009

Purpose:It is critical that the exact gestational age of a newborn baby, especially premature baby, be determined to evaluate the status of a disease and its management and to estimate the prognosis of a patient. This study aimed to investigate an easy and accurate method to estimate gestational age on cranial ultrasound, requiring minimal additional time and equipment. Methods:A high-resolution coronal sonographic image was obtained via the anterior fontanel with a 5-12 Mhz linear probe after the usual cranial sonographic examination. We measured the depth of cerebral hemisphere, thickness of corpus callosum, and depth of cingulate sulcus and obtained the correlations between these factors and gestational age. Results:Depth of cingulate sulcus had the highest correlation coefficiency with gestational age (r=0.878, P=0.000). All the cases, except for 2 cases, had a gestational age of more than 37 weeks, when the depths of cingulate sulcus were more than 0.55 cm, and had a gestational age less than 34 weeks, when the depths of cingulate sulcus were less than 0.35 cm. Conclusion:Measurement of the depth of cingulate sulcus was a simple and accurate method to estimate the gestational age on cranial ultrasound. The gestational age is more than 37 weeks, when the depth of cingulate sulcus is more than 0.55 cm, and is less than 34 weeks, when the depth of cingulate sulcus is less than 0.35 cm.

• Journal of Bio-Environment Control
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• v.30 no.4
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• pp.393-400
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• 2021

Body weight of livestock is a crucial indicator for assessing feed requirements and nutritional status. This study was performed to estimate the body weight of Korean cattle (Hanwoo) using body volume determined from three-dimensional (3-D) image. A TOF camera with a resolution of 640×480 pixels, a frame rate of 44 fps and a field of view of 47°(H)×37°(V) was used to capture the 3-D images for Hanwoo. A grid image of the body was obtained through preprocessing such as separating the body from background and removing outliers from the obtained 3-D image. The body volume was determined by numerical integration using depth information to individual grid. The coefficient of determination for a linear regression model of body weight and body volume for calibration dataset was 0.8725. On the other hand, the coefficient of determination was 0.9083 in a multiple regression model for estimating body weight, in which the age of Hanwoo was added to the body volume as an explanatory variable. Mean absolute percentage error and root mean square error in the multiple regression model to estimate the body weight for validation dataset were 8.2% and 24.5kg, respectively. The performance of the regression model for weight estimation was improved and the effort required for estimating body weight could be reduced as the body volume of Hanwoo was used. From these results obtained, it was concluded that the body volume determined from 3-D of Hanwoo could be used as an effective variable for estimating body weight.

• Journal of the Korean Geosynthetics Society
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• v.11 no.4
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• pp.45-53
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• 2012

Ground drilling is a common method to conduct site investigation, soil improvement, and pile installation. In the point of construction ground drilling requires electrical energy to drill a hole in ground in which the energy exerts into the motor located on the head of auger and generates rotational power. In this paper it is verified that the exerted electrical energy is closely related to the strength characteristics of ground. Measurement sensors, recording system, and drilling system were developed to obtain exerted motor current and drilling depth and laboratory soil box tests were carried out. The measured motor current and boring depth were applied to predict SPT N-value and the prediction results were compared to SPT N-value of laboratory tests. The test results show that the exerted electrical energy to bore ground be a good index to estimate SPT N-value.

• Journal of the Korean Society for Marine Environment & Energy
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• v.14 no.4
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• pp.264-272
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• 2011

Shipbuilders carry out the operation test to check the conditions of the main propulsion system and auxiliaries for moored vessel in the quoy before the sea trial. The estimation of the thrust and torque for the partially submerged propeller should be prepared to ensure the safety of mooring line and the ship. In this paper, the variations of the thrust and torque according to the shaft submergence and the propeller rotating speed in bollard pull condition are investigated with the model test and the numerical analysis. Based on these resaearch, the empirical formula representing the physical phenomena of the partially submerged propeller is derived and validated through comparison to measurement results of full-scale propellers under the quoy operation test.

• Journal of the Korean Data and Information Science Society
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• v.27 no.2
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• pp.429-435
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• 2016

Heritability estimates for daily gain (g), backfat thickness (mm), days to 90kg (day), loin eye depth (mm) and meat percent (%) were 0.40, 0.44, 0.40, 0.25 and 0.48, respectively. Estimates of correlation between breeding value and rank for meat productivity traits by model 1 and 2 were 0.995 1.000 and 0.991 1.000, respectively and highly significant (p< 0.0001), and they were almost identical to the breeding values estimated by different farms. When top 5% and top 10% animals were selected by meat productive traits at different farms, markedly different animals were selected by farms since the selected improvement traits in each farm maintaining closed herds were different. Therefore, it seems to be desirable that superior pigs should be selected after the establishment of evaluation system for genetic performance at national level using the integrated data obtained from various farms.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.4
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• pp.33-40
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• 2018

With the development of computer and video technology, a lot of contents are being produced as digital media methods to provide are being diversified and the intrest in digital media increases. Such contents are actively researched using human motion and user's information through camera or controller. Contents using user's information can be exposed to various people in public places and used as an advertisement. This paper proposes the character floating hologram system that is implemented using detection of user's height and motion. The purposed system detects user's height and motion from depth images and creates corresponding character from the detected data. Then it is represented using a floating hologram device. This system can be used for marketing, advertising and exhibition events using user information.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06c
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• pp.149-152
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• 2007

최근 모든 분야에 대한 전산화가 가속화됨에 따라 업무 처리 능력의 향상과 함께 시간 비용의 절감을 이루고 있다. 이러한 추세와 함께 건설 분야에서의 전산화가 진행 중이다. 본 논문에서는 굴착장비의 전류 값과 굴착 깊이 계측을 통해 깊이에 따른 지반 강도를 전산화 시켜 추정함으로써 보다 합리적으로 말뚝 기초를 시공하는 방법 개발하고자 한다. 본 시스템은 건축, 토목, 건설 분야에서 국내 최초로 시도되는 것으로, 실제 공사 현장에서 획득되는 데이터의 분석을 도와 측정 오류(Human Error)를 최소화함은 물론 공사비 절감, 신속한 공사 정보 제공 등의 파급효과를 기대할 수 있다.

• Journal of Korean Society of Water and Wastewater
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• v.21 no.6
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• pp.689-699
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• 2007

The accurate estimation of water pipe deterioration is indispensable to prevent pipe breakage and manage in advance. In this study, corrosion of water pipe is adopted, which is relatively underestimated although it takes most part of deteriorating pipeline. Predicting corrosion rate and corrosion depth of a pipe can make an increase the life span of the pipeline, which is laid under the ground according to characteristics of soil and water corrosion. For the purpose, mathematical models that can presume nominal depth through estimation of pit corrosion and corrosion rate is introduced. As comparison of results with conventional methods in other foreign countries, it is evaluated that the external corrosion depth is estimated less than the models, proposed by other researchers and the internal corrosion rate was processed faster than the external corrosion rate.