• International Journal of Automotive Technology
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• 제7권5호
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• pp.519-526
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• 2006

For investigating the effect of fuel stratification on flame propagation, initial flame development and propagation were visualized under different axially stratified states in a port injection SI engine. Stratification was controlled by the combination of the port swirl ratio and injection timing. Experiments were performed in an optical single cylinder engine modified from a production engine and images were captured through the quartz window mounted in the piston by an intensified CCD camera. Firstly in this paper, the characteristics under no port-generated swirl condition, i.e. normal conventional case was studied. Under various stratified conditions, flame images were captured at the pre-set crank angles. These were averaged and processed to characterize the flames propagation. The flame stability was estimated by the weighted average of flame area and luminosity. The stability was also evaluated through the standard deviation of flame area and propagation distance, and mean absolute deviation of propagating direction. Results show that stratification state according to injection timing do not affect on the direction of flame propagation. The flame development and the initial flame stability are strongly dependent on the stratified conditions and the initial flame stability is closely related to the engine stability and lean misfire limit.

• 한국임상수의학회지
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• 제20권2호
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• pp.229-232
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• 2003

Ultrasonographic examination of the stifle joint four clinically and radiographically normal adult dogs was performed before and after inducing the cranial cruciate ligament (CrCL) rupture of the bilateral stifle surgically. At Pre- or post-surgery, the hyperechoic patella ligament and the echogenic infrapatella fat interfered the visualization of the CrCL by the plain scanning method. However when the stifle joint was imaged by the scanning method injecting normal saline within the joint capsule, the hyperechogenic ligament was visualized by the separation of the infrapatella fat and the CrCL and the contrast effect of anechoic saline. When the stifle joint was imaged by the real time scanning method after the induction of the surgical rupture, fluttering of the ligament and anechoic area between the bone and the CrCL was identified due to the lack of tonicity and continuity of the ligament. Enlargement of the ligament because of its increased diameter as well as fluttering of the CrCL and the increased joint space's thickness was visualized. Consequently, confirming fluttering of the CrCL, increased ligament diameter and anechoic region between the CrCL and the bone, ultrasonographic examination is a valuable diagnostic tool as well as cranial drawer test and radiographic examination.

• 컴퓨터교육학회논문지
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• 제13권5호
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• pp.29-38
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• 2010

본 연구에서는 사이버 가정학습에서 학습자들의 자기주도적 학습을 지원하기 위한 온톨로지 기반의 학습지원 시스템을 개발하였다. 본 시스템은 학습내용에 대한 온톨로지를 구현하여 학습 개념들간의 관련성을 학습자에게 시각적으로 구조화하고 선.후 개념들의 관련성을 보여줌으로써 학습자들이 학습내용에 대한 이해를 높일 수 있도록 지원하고 있다. 또한, 온톨로지를 구축시 정의된 다양한 속성 정보들을 이용한 고차원적인 추론 기능을 제공함으로써 학습에 대한 흥미와 동기를 높일 수 있도록 하고 학습자의 주도적이고 능동적인 학습을 지원하고 있다.

• 한국빅데이터학회지
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• 제4권1호
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• pp.119-127
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• 2019

본 연구는 엔지니어링 분야에서 생성되는 대용량의 빅데이터를 효율적으로 저장, 관리, 분석하는 클라우드 기반 빅데이터 플랫폼을 제안하고자 한다. 클라우드 기반 빅데이터 플랫폼은 HPC 클라우드 환경, 엔지니어링 빅데이터 분석 플랫폼, 데이터 수집 및 처리 모듈, 인공지능 기반 분석 라이브러리, 응용서비스로 구성된다. 이를 통해 데이터 분석에 대한 전문지식이 없는 엔지니어링 전문가가 IoT 빅데이터를 수집 및 분석함으로써 산업적으로 활용이 가능하다. 마지막으로 응용서비스에서는 빅데이터 플랫폼 적용 사례를 제시하기 위해 하수처리플랜트 데이터를 이용하여 서비스를 구현하였다.

• Biomolecules & Therapeutics
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• 제8권1호
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• pp.63-72
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• 2000

We intended to show some basic requirements for spectrum analysis of electroencephalogram (EEG) by visualizing the differences of the results according to different values of some parameters for analysis. Spectrum analysis is the most popular technique applied for the quantitative analysis of the electroen- cephalographic signals. Each step from signal acquisition through spectrum analysis to presentation of parameters was examined with providing some different values of parameters. The steps are:(1) signal acquisition; (2) spectrum analysis; (3) parameter extractions; and (4) presentation of results. In the step of signal acquisition, filtering and amplification of signal should be considered and sampling rate for analog-to-digital conversion is two-time faster than highest frequency component of signal. For the spectrum analysis, the length of signal or epoch size transformed to a function on frequency domain by courier transform is important. Win dowing method applied for the pre-processing before the analysis should be considered for reducing leakage problem. In the step of parameter extraction, data reduction has to be considered so that statistical comparison can be used in appropriate number of parameters. Generally, the log of power of all bands is derived from the spectrum. For good visualization and quantitative evaluation of time course of the parameters are presented in chronospectrogram.

• 수산해양기술연구
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• 제40권1호
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• pp.17-22
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• 2004

This study was carried out at the CWC of Chosun university for the purpose of resistance performance improvement of planing hull, and the results of the tests were confirmed cooperatively with WJFEL. G/T 100 ton class planing hull form was selected, and the improvement of hull form including appendages were performed by using some model test techniques. The model test scope comprises resistance relative tests including wave profile observation, trim and sinkage measurement and flow visualization tests at full load and trial conditions for one bare hull and for two appended hulls. The final wedge and spray strip combined with improved hull form showed about 1.0 knot speed improvement at both of full and trial conditions, and outstanding improvement for fore wave phenomena.

• International Journal of Naval Architecture and Ocean Engineering
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• 제2권2호
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• pp.87-95
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• 2010

The structural intensity analysis, which calculates the magnitude and direction of vibrational energy flow from vibratory velocity and internal force at any point of a structure, can give information on dominant transmission paths, positions of sources and sinks of vibration energy. This paper presents a numerical simulation system for structural intensity analysis and visualization to apply for ship structures based on the finite element method. The system consists of a general purpose finite element analysis program MSC/Nastran, its pre- and post-processors and an in-house program module to calculate structural intensity using the model data and its forced vibration analysis results. Using the system, the structural intensity analysis for a 4,100 TEU container carrier is carried out to visualize structural intensity fields on the global ship structure and to investigate dominant energy flow paths from harmonic excitation sources to superstructure at resonant hull girder and superstructure modes.

• Parasites, Hosts and Diseases
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• 제57권6호
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• pp.581-585
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• 2019

Confocal laser scanning microscopy (CLSM) was used to examine archaeoparasitological specimens from coprolites associated with La Cueva de los Muertos Chiquitos (CMC) located near present-day Durango, Mexico. The eggs for 4 different types of parasites recovered from CMC coprolites were imaged using CLSM to assist with identification efforts. While some of the parasite eggs recovered from CMC coprolites were readily identified using standard light microscopy (LM), CLSM provided useful data for more challenging identifications by highlighting subtle morphological features and enhancing visualization of parasite egg anatomy. While other advanced microscopy techniques, such as scanning electron microscopy (SEM), may also detect cryptic identifying characters, CLSM is less destructive to the specimens. Utilizing CLSM allows for subsequent examinations, such as molecular analyses, that cannot be performed following SEM sample preparation and imaging. Furthermore, CLSM detects intrinsic autofluorescence molecules, making improved identification independent of resource and time-intensive protocols. These aspects of CLSM make it an excellent method for assisting in taxonomic identification and for acquiring more detailed images of archaeoparasitological specimens.

• 대한의용생체공학회:의공학회지
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• 제26권1호
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• pp.23-30
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• 2005

3D virtual endoscopy has been used as an alternative non-invasive procedure for visualization of hollow organs. However, due to computational complexity, this is a time-consuming procedure. In this paper, we propose a fast volume rendering algorithm based on perspective ray casting for virtual endoscopy. As a pre-processing step, the algorithm divides a volume into hierarchical blocks and classifies them into opaque or transparent blocks. Then, in the first step, we perform ray casting only for sub-sampled pixels on the image plane, and determine their pixel values and depth information. In the next step, by reducing the sub-sampling factor by half, we repeat ray casting for newly added pixels, and their pixel values and depth information are determined. Here, the previously obtained depth information is utilized to reduce the processing time. This step is recursively performed until a full-size rendering image is acquired. Experiments conducted on a PC show that the proposed algorithm can reduce the rendering time by 70- 80% for bronchus and colon endoscopy, compared with the brute-force ray casting scheme. Using the proposed algorithm, interactive volume rendering becomes more realizable in a PC environment without any specific hardware.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권1호
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• pp.147-165
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• 2021

In this work, we empirically evaluated the efficiency of the recent EfficientNetB0 model to identify and diagnose malaria parasite infections in blood smears. The dataset used was collected and classified by relevant experts from the Lister Hill National Centre for Biomedical Communications (LHNCBC). We prepared our samples with minimal image transformations as opposed to others, as we focused more on the feature extraction capability of the EfficientNetB0 baseline model. We applied transfer learning to increase the initial feature sets and reduced the training time to train our model. We then fine-tuned it to work with our proposed layers and re-trained the entire model to learn from our prepared dataset. The highest overall accuracy attained from our evaluated results was 94.70% from fifty epochs and followed by 94.68% within just ten. Additional visualization and analysis using the Gradient-weighted Class Activation Mapping (Grad-CAM) algorithm visualized how effectively our fine-tuned EfficientNetB0 detected infections better than other recent state-of-the-art DCNN models. This study, therefore, concludes that when fine-tuned, the recent EfficientNetB0 will generate highly accurate deep learning solutions for the identification of malaria parasites in blood smears without the need for stringent pre-processing, optimization, or data augmentation of images.