• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.5
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• pp.1383-1393
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• 2014

Recently, with rapid improvement in computer hardware and theoretical development in the field of computational fluid dynamics, high-order accurate schemes also have been applied in the realm of computational hydraulics. In this study, numerical solutions of 1D shallow water equations are presented with TVD Runge-Kutta discontinuous Galerkin (RKDG) finite element method. The transcritical flows such as dam-break flows due to instant dam failure and transcritical flow with bottom elevation change were studied. As a formulation of approximate Riemann solver, the local Lax-Friedrichs (LLF), Roe, HLL flux schemes were employed and MUSCL slope limiter was used to eliminate unnecessary numerical oscillations. The developed model was applied to 1D dam break and transcritical flow. The results were compared to the exact solutions and experimental data.

• Explosives and Blasting
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• v.31 no.1
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• pp.41-48
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• 2013

Progressive collapse is generally defined as a local failure of structural members occurring due to abnormal load which results in the partial collapse or total collapse of a structure. Unlike progressive collapse, explosive demolition is a method of inducing the total collapse of structure by removing all or portion of structural members. In explosive demolition the partial collapse of the structural members can be controlled at appropriate time intervals by blasting, to induce the progressive collapse of the structure and control the collapse behavior. In this study, a nonlinear dynamic analysis was carried out in order to apply the progressive collapse process to explosive demolition design of the RC structure. The occurrence of progressive collapse of analytical models was examined according to the number of floors, the removed column height and span length. For models that resisted progressive collapse, progressive collapse resisting capacity was evaluated.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.161-167
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• 2018

A clinician's skills in a dental clinic are an important factor in removing the risk factors of patients. Although many universities have conducted educational programs, there has been a limitation on repeated practice because of the limited space and equipment. In dental radiography, there are various intraoral radiographic techniques. Since proficiency in radiography is an important factor in obtaining accurate radiographs, repeated practice and skill learning are important at the pre-clinical stage. However, the recent amendment of diagnostic radiation has caused difficulties in repeated practice on the human body. This study aims to develop a clinical simulator for intraoral radiography that enables repeated practice and self-directed learning without any restriction by utilizing the augmented reality technology to foster clinical skills for dental hygienist.

• The Journal of the Korea Contents Association
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• v.17 no.9
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• pp.324-330
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• 2017

The aim of this study was to make a comparison of dental plaque control and reduction of oral malodor according to hardness of detergent food. Subjects are 1 male(5.0%) and 19 females(95. 0%), the average age of 20.8 years old. The study was conducted from March 6 to April 24, 2014. Detergent foods which were selected during this experiment were cucumber, cabbage and tomato. The data were analyzed by using SPSS where the PHP Index, plaque rate, $H_2S$, $(CH_3)_2S$, Oral Gas, Expiration Gas were analyzed by Non-parametric Statistics and it was compared to the results of the compared mean whereas factors of detergent food before and after ingestion were analyzed by paired t-test. With all detergent foods, compared with the degree of control of dental plaque before and after ingestion showed a statistically significant difference between PHP index from cucumber, PHP index and plaque rate from tomato, and plaque rate from cabbage.

• Korean Chemical Engineering Research
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• v.47 no.1
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• pp.72-78
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• 2009

For the electro-discharge machining of an electro-conductive anisotropic composite, an unsteady state formulation was established and solved by Galerkin's finite element method. The distribution of temperature on work piece, the shape of the crater and the material removal rate were obtained in terms of the process parameters. The $12{\times}12$ irregular mesh that was chosen as the optimum in the previous analysis was used for computational accuracy and efficiency. A material having the physical properties of alumina/titanium carbide composite was selected and an electricity with power of 51.4 V and current of 7 A was applied, assuming the removal efficiency of 10 % and the thermal anisotropic factors of 2 and 3. As the spark was initiated the workpiece immediately started to melt and the heat affected zone was formed. The moving boundary of the crater was also identified with time. When the radial and axial conductivities were increased separately, the temperature distribution and the shape of the crater were shifted in the radial and axial directions, respectively. The material removal rate was found to be higher when the conductivity was increased in the radial direction rather than in the axial direction.

• Korean Chemical Engineering Research
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• v.46 no.5
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• pp.868-874
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• 2008

The Ni based adsorbent was prepared by co-precipitation method and its performance for removing carbon monoxide was investigated. Here, silica, aluminium silicate and ${\gamma}$-alumina were used for carriers of catalyst. $Ni(NO_3)_2{\cdot}6H_2O$ and $Ni(CH_3COO)_2{\cdot}4H_2O$ were utilized for Ni precursors. Precipitants were urea and citric acid. After precipitation of Ni salt on the carrier and following reduction using $H_2$ gas, adsorbent was prepared and its performance was analyzed based on EDS, TPR and XRD experiments. In accordance with change of precipitation agents, Ni salts on carrier, carriers and reduction condition. Adsorbent performance for removing carbon monoxide was investigated. The adsorbent with 54.8 wt% Ni prepared using urea precipitant under reduction condition at $500^{\circ}C$ for 3 h exhibited the best CO removal performance.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.904-906
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• 2005

본 논문에서는 뇌 CT 혈관조영영상에서 슬라이스 정보를 이용한 뇌 분할 방법을 제안한다. 뇌 분할 과정은 현재 슬라이스와 이전 슬라이스 간 분할 영역의 크기 정보를 가지고 영역 성장 단계와 전파 단계로 구분하여 수행된다. 영역 성장 단계에서는 이차원 영역성장법을 통해 뇌 분할을 수행하고 누출이 발생하는 슬라이스에 대하여 방사선 투과 기법을 통해 영역보정을 수행한다. 전파 단계에서는 이전 슬라이스에서 분할된 뇌 영역을 현재 슬라이스로 전파함으로써 장벽을 생성하고 장벽 내에서 이차원 영역성장법을 수행함으로써 누출을 최소화한다. 또한 뇌 영역과 유사한 밝기값을 형성하고 있는 미세 요소들을 제거하기 위해 이차원 연결화소군 레이블링 기법을 통해서 최종적으로 뇌 분할을 수행한다. 본 논문의 실험을 위하여 뇌 CT 혈관조영영상을 사용하여 정확한 뇌분할 결과를 얻었다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.7
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• pp.1376-1382
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• 2016

In this paper, we present a visual quality enhancement technique for conventional three-dimensional (3D) photon counting integral imaging using background noise removal algorithm. Photon counting imaging can detect a few photons from desired objects and visualize them under severely photon-starved conditions such as low light level environment. However, when a lot of photons are generated from background, it is difficult to detect photons from desired objects. Thus, the visual quality of the reconstructed image may be degraded. Therefore, in this paper, we propose a new photon counting imaging method that removes unnecessary background noise and detects photons from only desired objects. In addition, integral imaging can be used to obtain 3D information and visualize the 3D image by statistical estimations such as maximum likelihood estimation. To prove and evaluate our proposed method, we implement the optical experiment and calculate mean square error.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.1
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• pp.101-107
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• 2011

The background noises and distortions by channel are major factors that disturb the practical use of speech recognition. Usually, noise reduce the performance of speech recognition system DSR(Distributed Speech Recognition) based speech recognition also bas difficulty of improving performance for this reason. Therefore, to improve DSR-based speech recognition under noisy environment, this paper proposes a method which detects accurate speech region to extract accurate features. The proposed method distinguish speech and noise by using entropy and detection of spectral energy of speech. The speech detection by the spectral energy of speech shows good performance under relatively high SNR(SNR 15dB). But when the noise environment varies, the threshold between speech and noise also varies, and speech detection performance reduces under low SNR(SNR 0dB) environment. The proposed method uses the spectral entropy and harmonics of speech for better speech detection. Also, the performance of AFE is increased by precise speech detections. According to the result of experiment, the proposed method shows better recognition performance under noise environment.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.27 no.5
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• pp.585-597
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• 2009

This research aims to develop a registration method to remove the geometric inconsistency between aerial images and LIDAR data acquired from an airborne multi-sensor system. The proposed method mainly includes registration primitives extraction, correspondence establishment, and EOP(Exterior Orientation Parameters) adjustment. As the registration primitives, we extracts planar patches and intersection edges from the LIDAR data and object points and linking edges from the aerial images. The extracted primitives are then categorized into horizontal and vertical ones; and their correspondences are established. These correspondent pairs are incorporated as stochastic constraints into the bundle block adjustment, which finally precisely adjusts the exterior orientation parameters of the images. According to the experimental results from the application of the proposed method to real data, we found that the attitude parameters of EOPs were meaningfully adjusted and the geometric inconsistency of the primitives used for the adjustment is reduced from 2 m to 2 cm before and after the registration. Hence, the results of this research can contribute to data fusion for the high quality 3D spatial information.