• 한국수학교육학회지시리즈D:수학교육연구
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• 제17권2호
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• pp.133-152
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• 2013

In this research, we investigated students' understanding of the definitions of sequence of continuous functions and its uniform convergence. We selected three female and three male students out of the senior class of a university and conducted questionnaire surveys 4 times. We examined students' concept images of sequence of continuous functions and its uniform convergence and also how they approach to the right concept definitions for those through several progressive questions. Furthermore, we presented some suggestions for effective teaching-learning for the sequences of continuous functions.

• 방송공학회논문지
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• 제5권2호
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• pp.188-198
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• 2000

편집 과정에서의 언더플로우의 문제는 이미 이전에 페이드-인 시퀀스를 삽입하여 해결하는 방법이 연구된 것이 있으나, 이는 원하지 않는 영상신호를 임의로 삽입한다는 점이 문제였다. 본 연구에서는 압축영역에서 수행할 수 있는. 시퀀스의 압축율에 따른 적절한 재양자화를 통한 기법을 적용하여 이러한 페이드-인 시퀀스 삽입 방법에서와 같은 문제점 없이 언더플로우를 해결하였다. 제안된 방법은 본래의 움직임 예측 영상에 재양자화에 의한 에러를 보상하여 재양자화로 인하여 발생하는 GOP 전체로의 영상에러의 흐름에 의한 화질 열화를 방지하여 PSNR에서 약 0.5~1dB 화질이 향상되었음이 실험 결과 확인되었다.

• 대한수학회지
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• 제55권4호
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• pp.809-832
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• 2018

In this paper, we form the basis of the abstract theory for constructing the $K{\ddot{u}}nneth$ spectral sequence for a complex of Banach spaces. As the category of Banach spaces is not abelian, several difficulties occur and hinder us from applying the usual method of homological algebra directly. The most notable facts are the image of a morphism of Banach spaces is not necessarily a Banach space, and also the closed summand of a Banach space need not be a topological direct summand. So, we consider some conditions and categorical terms that fit the category of Banach spaces to modify the familiar method of homological algebra.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권6호
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• pp.2497-2517
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• 2020

For compressed sensing (CS) applications, it is significant to construct deterministic measurement matrices with good practical features, including good sensing performance, low memory cost, low computational complexity and easy hardware implementation. In this paper, a deterministic construction method of bipolar measurement matrices is presented based on binary sequence family (BSF). This method is of interest to be applied for sparse signal restore and image block CS. Coherence is an important tool to describe and compare the performance of various sensing matrices. Lower coherence implies higher reconstruction accuracy. The coherence of proposed measurement matrices is analyzed and derived to be smaller than the corresponding Gaussian and Bernoulli random matrices. Simulation experiments show that the proposed matrices outperform the corresponding Gaussian, Bernoulli, binary and chaotic bipolar matrices in reconstruction accuracy. Meanwhile, the proposed matrices can reduce the reconstruction time compared with their Gaussian counterpart. Moreover, the proposed matrices are very efficient for sensing performance, memory, complexity and hardware realization, which is beneficial to practical CS.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2000년도 International Symposium on Bioinformatics
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• pp.45-52
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• 2000

Genomic approach produces massive amount of data within a short time period, New high-throughput automatic sequencers can generate over a million nucleotide sequence information overnight. A typical DNA chip experiment produces tens of thousands expression information, not to mention the tens of megabyte image files, These data must be handled automatically by computer and stored in electronic database, Thus there is a need for systematic approach of data collection, processing, and analysis. DNA sequence information is translated into amino acid sequence and is analyzed for key motif related to its biological and/or biochemical function. Functional genomics will play a significant role in identifying novel drug targets and diagnostic markers for serious diseases. As an enabling technology for functional genomics, bioinformatics is in great need worldwide, In Korea, a new functional genomics project has been recently launched and it focuses on identi☞ing genes associated with cancers prevalent in Korea, namely gastric and hepatic cancers, This involves gene discovery by high throughput sequencing of cancer cDNA libraries, gene expression profiling by DNA microarray and proteomics, and SNP profiling in Korea patient population, Our bioinformatics team will support all these activities by collecting, processing and analyzing these data.

• ETRI Journal
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• 제32권6호
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• pp.871-880
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• 2010

Many applications dealing with image management need a technique for removing duplicate images or for grouping related (near-duplicate) images in a database. This paper proposes a concentric circle-based image signature which makes it possible to detect near-duplicates rapidly and accurately. An image is partitioned by radius and angle levels from the center of the image. Feature values are calculated using the average or variation between the partitioned sub-regions. The feature values distributed in sequence are formed into an image signature by hash generation. The hashing facilitates storage space reduction and fast matching. The performance was evaluated through discriminability and robustness tests. Using these tests, the particularity among the different images and the invariability among the modified images are verified, respectively. In addition, we also measured the discriminability and robustness by the distribution analysis of the hashed bits. The proposed method is robust to various modifications, as shown by its average detection rate of 98.99%. The experimental results showed that the proposed method is suitable for near-duplicate detection in large databases.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 2000년도 THE THIRD INTERNATIONAL CONFERENCE ON AGRICULTURAL MACHINERY ENGINEERING. V.II
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• pp.300-306
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• 2000

This paper introduces a new concept of automation for bio-production with tele-operative system. The proposed system showed practical and feasible way of automation for the volatile bio-production process. Based on the proposition, recognition of the job environment with object identification was performed using computer vision system. A man-machine interactive hybrid decision-making, which utilized a concept of tele-operation was proposed to overcome limitations of the capability of computer in image processing and feature extraction from the complex environment image. Identifying watermelons from the outdoor scene of the cultivation field was selected to realize the proposed concept. Identifying watermelon from the camera image of the outdoor cultivation field is very difficult because of the ambiguity among stems, leaves, shades, and especially fruits covered partly by leaves or stems. The analog signal of the outdoor image was captured and transmitted wireless to the host computer by R.F module. The localized window was formed from the outdoor image by pointing to the touch screen. And then a sequence of algorithms to identify the location and size of the watermelon was performed with the local window image. The effect of the light reflectance of fruits, stems, ground, and leaves were also investigated.

• 한국산학기술학회논문지
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• 제15권10호
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• pp.6317-6321
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• 2014

멀티미디어 자료들은 인터넷을 통해 빠르고 쉽게 전송된다. 이것은 멀티미디어 보안 및 저작권 보호에 있어 넓은 관심을 불러일으킬 수 있다. 이에 본 논문에서는 저작권 보호를 위해 이산 웨이블릿 변환 계수를 사용하여 이진 워터마크 이미지를 포함하는 이미지 워터마킹 기법을 제안한다. 원본 이미지를 웨이블릿 영역으로 변환하고 서브 대역으로 나눠진다. 변환된 영상은 이진워터마크 영상은 비트 시퀀스로 중잔 주파수 서브 밴드에 삽입된다. 원본 이미지는 워터마크 영상의 검출에 필요로 하지 않는다. 제안된 방법에서 워터마크 비트수는 적게 검출되지만 최대/최소값 보다 10dB의 PSNR이 더 생산되었다.

• 대한전자공학회논문지SP
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• 제46권5호
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• pp.56-65
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• 2009

스테레오 영상은 단일 영상과는 달리 오른쪽과 왼쪽, 2개의 영상으로 구성되어 있기 때문에 단일 영상에 비하여 더욱 많은 데이터량을 가지게 된다. 따라서 이를 효율적으로 처리하기 위한 영상 압축 기술이 필요하게 되었고, 이를 위해 DPCM기반의 예측 부호화 압축 기술을 대부분의 비디오 압축 표준에서 사용한다. 예측 부호화 기술의 구현을 위해 움직임 추정 및 변이 추정이 필요한데 이를 수행하는 알고리즘으로 여러 가지 비디오 코딩 표준들에서 블록 정합 알고리즘을 사용한다. 블록 정합 알고리즘 중 완전탐색 알고리즘은 기준 블록을 탐색영역 안에 존재하는 모든 블록과 비교하여 최적의 블록을 찾아낸다. 이 알고리즘은 최적의 블록을 찾을 수 있어 효율은 좋으나 많은 연산량이 단점이 된다. 본 논문에서는 스테레오 영상에서 움직임 벡터 정보와 전 프레임의 변이벡터 정보를 이용하여 고속으로 현재 프레임의 변이 벡터를 추정할 수 있는 방안을 제시한다. 변이 벡터 추정시 전역 변이 벡터를 사용하여 탐색 영역을 줄이고, 전 프레임들 사이에서 구한 변이 벡터 정보를 재사용하면서 움직임 벡터 정보를 이용하여 탐색 위치를 제한함으로 연산량을 줄여 고속의 변이 벡터 추정을 가능하게 하였다. 실험결과 제안 알고리즘은 움직임이 많은 복잡 영상 보다는 움직임이 적은 단순 영상에서의 성능이 훨씬 뛰어났으며, 움직임이 적은 단순 영상에서의 변이 벡터 추정 시에 약간의 residual 증가는 있지만 빠른 처리 속도를 제공하여 고속의 변이 벡터 추정을 가능하게 함을 확인하였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2005년도 추계종합학술대회
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• pp.481-484
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• 2005

Inherent opportunities on research for restoring high resolution image from low resolution images are increasing in these days. Super resolution image reconstruction is the process of combining multiple low resolution images to form a higher resolution one. To achieve super resolution reconstruction, proper observation model which is based on subpixel shift information is required. In this context, the importance of the subpixel registration cannot be estimated because subpixel shift information cannot be obtained from original image. This paper presents a regularized adaptive super resolution reconstruction method based on phase correlated subpixel registration, where the Constrained Least Squares(CLS) Restoration is adopted as a post process.