• 방송공학회논문지
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• 제23권1호
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• pp.162-165
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• 2018

본 논문에서는 초고해상도 영상의 효율적인 부호화를 위해 공간적 다운스케일된 입력영상을 이용하여 장면 전환 정보를 획득하기 위한 전처리(pre-processing)과정과 이 정보를 기반으로 화면 간 예측 과정에서 참조 픽처 리스트를 재구성하는 방법을 제안한다. 본 논문에서 제안하는 전처리 과정을 통해 얻어진 정보를 기반으로 참조 픽처 리스트를 재구성하였을 때 기존의 HM 16.12 대비 0.44%의 BD-Rate 개선과 동시에 12.46%의 부호화 속도 향상을 얻을 수 있다.

• Journal of Welding and Joining
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• 제34권2호
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• pp.11-15
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• 2016

FE analyses for weldment of ship structure are required for various reasons such as stress concentration for bead tow, residual stress and distortion after welding, and hydrogen diffusion for prediction of low temperature crack. These analyses should be done by solid element modeling, but most of ship structures are modeled by shell element. If we are able to make solid element in the shell element FE modeling it is easily to solve the requirement for solid elements in weld analysis of large ship structures. As the nodes of solid element cannot take moments from nodes of shell element, these two kinds of element cannot be used in one model by conventional modeling. The PSCM (Perpendicular shell coupling method) can connect shell to solid. This method uses dummy perpendicular shell element for transferring moment from shell to solid. The target of this study is to develop a FE pre-processing system applicable at welding at ship structure by using PSCM. We also suggested glue-contact technique for controlling element numbers and element qualities and applied it between PSCM and solid element in automatic pre-processing system. The FE weldment modeling through developed pre-processing system will have rational stiffness of adjacent regions. Then FE results can be more reliable when turn-over of ship-block with semi-welded state or ECA (Engineering critical assessment) of weldment in a ship-block are analyzed.

• 한국정보통신학회논문지
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• 제15권5호
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• pp.1164-1170
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• 2011

본 논문에서는 컴퓨터 집적 영상에서의 정교한 요소 영상 추출 및 전처리 기술에 대해 제안한다. 전처리 기술은 영상 복원 과정 전에 영상의 왜곡 및 잡음을 제거하는 기술이다. 픽업 과정에서 발생된 왜곡 및 잡음은 주로 회전 왜곡으로, 복원된 영상의 화질을 저하시킨다. 이 문제점을 극복하기 위해서 요소 영상 추출 및 전처리 방법을 제안하고, 이를 통하여 왜곡 및 잡음이 영상 복원 과정에 미치는 영향에 대해서 설명하였다. 광학 및 컴퓨터 실험을 통하여 교정 전, 후의 복원 영상의 특성을 비교하였다.

• 정보학연구
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• 제7권2호
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• pp.43-54
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• 2004

홉필드 네트웍(Hopfield Network)은 존 홉필드(John J. Hopfield) 박사에 의해 제안된 이래 패턴인식과 최적화 문제에 활용되어 왔다. 특히 리(Jian-Hua Li)에 의해 제안된 방식은 SVD(singular value decomposition) 기법을 사용하여 입력패턴을 재구성함으로써 효율향상에 기여하였다. 본 논문은 리(Li)가 제안한 홉필드 네트웍에 사용할 패턴 집합의 선형 선처리 방식에 따른 성능 향상을 실험하였다. 선형 선처리 방식에 하다마드 방식과 랜덤 방식이 최대 30%, 하다마드 방식이 최대 15%의 성능이 향상되었다. 수렴시간 측면에서 보면 랜덤 방식이 최대 5 이터레이션, 하다마드 방식이 최대 2.5 이터레이션의 성능 향상을 확인하였다.

• 센서학회지
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• 제17권6호
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• pp.406-413
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• 2008

We have been implemented simple statistical pattern recognition methods for harmful gases classification using gas sensors array fabricated by MEMS (Micro Electro Mechanical System) technology. The performance of pattern recognition method as a gas classifier is highly dependent on the choice of pre-processing techniques for sensor and sensors array signals and optimal classification algorithms among the various classification techniques. We carried out pre-processing for each sensor's signal as well as sensors array signals to extract features for each gas. We adapted simple statistical pattern recognition algorithms, which were PCA (Principal Component Analysis) for visualization of patterns clustering and MLR (Multi-Linear Regression) for real-time system implementation, to classify harmful gases. Experimental results of adapted pattern recognition methods with pre-processing techniques have been shown good clustering performance and expected easy implementation for real-time sensing system.

• 한국통신학회:학술대회논문집
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• 한국통신학회 1991년도 추계종합학술발표회논문집
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• pp.86-91
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• 1991

A capability of performing the optical logic and arithmetic operations is followed by an effective encoding technique. In this paper, we proposed the color light encoding technique. By using this encoding technique, the space bandwidth product(SBP) is minimized in the output plane. In addition, we proposed the pre-operation pro-carry processing method that performs faster than the same time operation and carry processing method in optical computing. We proposed that the color liquid crystal device(CLCD) is used as the encoded color light input source.

• Journal of Multimedia Information System
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• 제8권2호
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• pp.79-84
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• 2021

Detecting brain tumors of different sizes is a challenging task. This study aimed to identify brain tumors using detection algorithms. Most studies in this area use segmentation; however, we utilized detection owing to its advantages. Data were obtained from 64 patients and 11,200 MR images. The deep learning model used was RetinaNet, which is based on ResNet152. The model learned three different types of pre-processing images: normal, general histogram equalization, and contrast-limited adaptive histogram equalization (CLAHE). The three types of images were compared to determine the pre-processing technique that exhibits the best performance in the deep learning algorithms. During pre-processing, we converted the MR images from DICOM to JPG format. Additionally, we regulated the window level and width. The model compared the pre-processed images to determine which images showed adequate performance; CLAHE showed the best performance, with a sensitivity of 81.79%. The RetinaNet model for detecting brain tumors through deep learning algorithms demonstrated satisfactory performance in finding lesions. In future, we plan to develop a new model for improving the detection performance using well-processed data. This study lays the groundwork for future detection technologies that can help doctors find lesions more easily in clinical tasks.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 1994년도 가을 학술발표회 논문집
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• pp.17-24
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• 1994

The pre- and post-processor for finite element structural analysis considering the user-friendly device are developed by using GUI. These can be used on WINDOWS' environment which is realized the multi-tasking and the concurrency by object-oriented paradigm. They are designed to control integratedly the pre-processing, execution and the post-processing of the finite element structural analysis program on multiple windows. These object-oriented modeling approach can be used for complex integrated engineering systems.

• 한국염색가공학회:학술대회논문집
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• 한국염색가공학회 2009년도 학술발표대회
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• pp.43-44
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• 2009

Fabrics for Digital Textile Printing (DTP) are different from it of general textile printing. It is necessary to pre-treatment of chemical agents for desired quality. But this process does not correspond with simplification of DTP processing. In this research, we pre-treated of cotto is necessary to pre-treatment of chemical agents for desired quality. But this process does not correspond with simplification of DTP processing. In this research, we pre-treated of cotton fabric for DTP by atmosphere plasma treatment and we understood that pre-treatment of fabric by atmosphere plasma treatment was more simple DTP process.

• 한국군사과학기술학회지
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• 제20권4호
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• pp.482-490
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• 2017

The radar signal processing procedure is divided into the pre-processing such as frequency down converting, down sampling, pulse compression, and etc, and the post-processing such as doppler filtering, extracting target information, detecting, tracking, and etc. The former is generally designed using FPGA because the procedure is relatively simple even though there are large amounts of ADC data to organize very quickly. On the other hand, in general, the latter is parallel processed by multiple DSPs because of complexity, flexibility and real-time processing. This paper presents the radar signal processor design using FPGA which includes not only the pre-processing but also the post-processing such as doppler filtering, bore-sight error, NCI(Non-Coherent Integration), CFAR(Constant False Alarm Rate) and etc.