• The Journal of the Acoustical Society of Korea
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• v.22 no.6
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• pp.434-442
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• 2003

Software internationalization, the process of making software easier to localize for specific languages, has deep implications when applied to speech technology, where the goal of the task lies in the very essence of the particular language. A greatdeal of work and fine-tuning has gone into language processing software based on ASCII or a single language, say English, thus making a port to different languages difficult. The inherent identity of a language manifests itself in its lexicon, where its character set, phoneme set, pronunciation rules are revealed. We propose a decomposition of the lexicon building process, into four discrete and sequential steps. For preprocessing to build a lexical model, we translate from specific language code to unicode. (step 1) Transliterating code points from Unicode. (step 2) Phonetically standardizing rules. (step 3) Implementing grapheme to phoneme rules. (step 4) Implementing phonological processes.

• Journal of Elementary Mathematics Education in Korea
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• v.9 no.2
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• pp.161-180
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• 2005

The purpose of this study is to delve into how elementary mathematics textbooks deal with the areas of triangles and quadrilaterals from a viewpoint of the Didactic Transposition Theory. The following conclusion was derived about the teaching of the area concept: The area concept started to be taught perfectly in the 7th curricular textbook, and the focus of area teaching was placed on the area concept, since learners were gradually given opportunities to compare and measure areas. As to the area formulae of triangles and quadrilaterals, the following conclusions were made: First, the 1st curricular, the 2nd curricular and the 3rd curricular textbooks placed emphasis on transposition by textbooks, and the 4th curricular, the 5th curricular and the 6th curricular textbooks accentuated transposition by teachers. The 7th curricular textbooks put stress on knowledge construction by learners; Second, the focus of teaching shifted from a measurement of area to inducing learners to make area formula. Namely, the utilization of area formula itself was accentuated, while algorithm was emphasized in the past; Third, the way to encourage learners to produce area formula changed according to the curricula and in light of learners' level, but a wide range of teaching devices related to the area formulae were removed, which resulted in offering less learning chances to students; Fourth, what to teach about the areas of triangles and quadrilaterals was gradually polished up, and the 7th curricular textbooks removed one of the overlapped area formula of triangle.

• Journal of Internet Computing and Services
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• v.9 no.1
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• pp.33-41
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• 2008

Due to the advantage of wavelet transform such as the compatibility with JPEG2000, multi-resolution decomposition, and application of HVS(Human Visual System), watermarking algorithm based on wavelet transform (DWT) is recently mast interesting research subject. However, mast of researches are focused on theoretical aspects for the robustness rather than practical usage, and. may be not suitable too much complicated to use in practice. In this paper, robust logo watermarking algorithm based on DWT is proposed for large and huge data processing. The proposed method embeds the logo watermark by mapping of $8{\times}8$ blocks in order of the number of '1' of the original image and the randomized watermark image with LFSR. The original image is transformed by 2 level wavelet. The experimental results shows that the watermark is embedded successfully, and the proposed algorithm has the valuable robustness from the image processing like JPEG compression, low pass filter, high pass filter and changes in brightness and contrast.

• The Transactions of the Korea Information Processing Society
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• v.7 no.11
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• pp.3566-3575
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• 2000

In this paper, we propose an simple and efficient method to estunate the camera operation by using compressed information, which is extracted diracily from MPEG2 stream without complete decoding. In the method, the motion vector is converted into approximate optical flow by using the feature of predicted frame, because the motion vector in MPEG2 video stream is not regular sequene. And they are used to estimate the camera operation, which consist of pan, and zoom by Hough transform technique. The method provided better results than the least square method for video stream of basketball and socer games. The proposed method can have a reduced computational complexity because the information is directiv abtained in compressed domain. Additionally it can be a useful technology in content-based searching and analysis of video information. Also, the estimatd cameral operationis applicable in searching or tracking objects in MPEG2 video stream without decoding.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.4C
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• pp.533-540
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• 2004

This paper proposes a new multispectral image data compression algorithm that can efficiently reduce spatial and spectral redundancies by applying classified prediction, a Karhunen-Loeve transform (KLT), and the three-dimensional set partitioning in hierarchical trees (3-D SPIHT) algorithm in the wavelet transform (WT) domain. The classification is performed in the WT domain to exploit the interband classified dependency, while the resulting class information is used for the interband prediction. The residual image data on the prediction errors between the original image data and the predicted image data is decorrelated by a KLT. Finally, the 3-D SPIHT algorithm is used to encode the transformed coefficients listed in a descending order spatially and spectrally as a result of the WT and KLT. Simulation results showed that the reconstructed images after using the proposed algorithm exhibited a better quality and higher compression ratio than those using conventional algorithms.

• Journal of KIISE:Databases
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• v.28 no.3
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• pp.344-356
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• 2001

This paper deals with the subsequence searching problem under time-warping in sequence databases. Our work is motivated by the observation that subsequence searches slow down quadratically as the average length of data sequences increases. To resolve this problem, the Segment-Based Approach for Subsequence Searches (SBSS) is proposed. The SBASS divides data and query sequences into a series of segments, and retrieves all data subsequences that satisfy the two conditions: (1) the number of segments is the same as the number of segments in a query sequence, and (2) the distance of every segment pair is less than or equal to a tolerance. Our segmentation scheme allows segments to have different lengths; thus we employ the time warping distance as a similarity measure for each segment pair. For efficient retrieval of similar subsequences, we extract feature vectors from all data segments exploiting their monotonically changing properties, and build a spatial index using feature vectors. Using this index, queries are processed with the four steps: (1) R-tree filtering, (2) feature filtering, (3) successor filtering, and (4) post-processing. The effectiveness of our approach is verified through extensive experiments.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.11
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• pp.71-79
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• 2017

In this paper, we implemented the exchange rate forecasting neural network using heterogeneous computing. Exchange rate forecasting requires a large amount of data. We used a neural network that could leverage this data accordingly. Neural networks are largely divided into two processes: learning and verification. Learning took advantage of the CPU. For verification, RTL written in Verilog HDL was run on FPGA. The structure of the neural network has four input neurons, four hidden neurons, and one output neuron. The input neurons used the US $ 1, Japanese 100 Yen, EU 1 Euro, and UK £ 1. The input neurons predicted a Canadian dollar value of $ 1. The order of predicting the exchange rate is input, normalization, fixed-point conversion, neural network forward, floating-point conversion, denormalization, and outputting. As a result of forecasting the exchange rate in November 2016, there was an error amount between 0.9 won and 9.13 won. If we increase the number of neurons by adding data other than the exchange rate, it is expected that more precise exchange rate prediction will be possible.

• Journal of KIISE:Software and Applications
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• v.30 no.5_6
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• pp.497-502
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• 2003

Content-based video copy detection is a complementary approach to watermarking. As opposed to watermarking, which relies on inserting a distinct pattern into the video stream, video copy detection techniques match content-based signatures to detect copies of video. Existing typical content-based copy detection schemes have relied on image matching which is based on key frame detection. This paper proposes a motion directional histogram, which is quantized and accumulated the direction of motion, for video copy detection. The video clip is represented by a motion directional histogram as a 1-dimensional graph. This method is suitable for real time indexing and counting the TV CF verification that is high motion video clips.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2001.11b
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• pp.199-202
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• 2001

ISO/IEC 15938-1(MPEG-7 Systems)에서는 멀티미디어 컨텐츠에 대한 메타데이터의 효율적인 전송과 저장을 위한 이진 표현 방법인 BiM(binary format for MPEC-7)을 제공한다. 멀티미디어 컨텐츠를 기술(description)하는 메타데이터의 텍스트 표현은 대체로 많은 저장 용량과 전송 리소스를 요구하기 때문에 효율적인 압축을 위해서는 이진 형식으로의 변환이 요구된다. 또한 텍스트 형식은 방송 환경과 같은 스트리밍 전송에는 적절하지 못한 단점이 있다. BiM은 컨텐츠에 대한 기술을 전체 또는 2개 이상의 AU(access units) 단위로 분할하며 부호화하는 방법을 지원함으로써 스트리밍 전송을 가능하게 한다. 이러한 구조는 이진 포맷 형태로 표현되는 헤더를 가지는 패킷 기반 형태이며, 융통성이 있는 전송 순서를 제공한다. 또한, 비트 스트림의 전체를 해석(parsing)하지 않고 랜덤 엑세스 기능을 제공하는 장점이 있다. BiM이 지닌 이러한 장점들로 인하여 현재 방송산업계를 중심으로 메타데이터를 방송에 활용하기 위한 기술을 표준화하는 국제 민간 표준화 기구인 TV-Anytime 포럼에서는 방송 컨텐츠에 대한 메타데이터의 압축에 관한 요구사항을 만족하는 하나의 방법으로 BiM을 고려하고 있다 본 논문에서는 이러한 MPEG-7 시스템의 BiM을 소개하고, 이를 이용하여 TV-Anytime 포럼의 메타데이터를 이진 포맷으로 부호화한 실험과 그 결과를 기술한다.

• Journal of the Korea Computer Graphics Society
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• v.12 no.1
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• pp.27-36
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• 2006

영화와 같은 사실적인 영상은 너무 많은 정보를 포함하고 있어서 때로는 사용자에게 제작자의 의도를 쉽게 전달하기 어려울 수 있다. 이와 달리 만화와 같은 비사실적인 영상은 중요하지 않은 부분을 아주 간단하게 표현하거나 혹은 중요한 부분만을 강조해서, 작가의 의도를 직관적으로 훨씬 잘 전달해 준다. 만화는 스피드라인, 말풍선, 배경 텍스쳐 등과 같은 만화 고유의 표현 기법들을 통하여 일반 정지영상들보다 많은 부가적인 정보를 전달해 준다. 특히, 말풍선은 장면 내의 인물들의 대사를 전달하는 매체로, 올바른 내용 전달을 위해 읽기순서(reading order)에 따른 말풍선간의 관계 및 말풍선과 인물간의 관계를 고려하여 적절한 위치에 배치 되어야 한다. 본 논문에서는 비디오 영상에서 추출된 장면의 만화적 변환을 위한 기법들 중에서 말풍선 자동 배치 방법을 제안한다. 제안한 방법은 지도에서 지명을 배치할 때 흔히 사용하는 특징점 라벨 배치(Point-Feature Label Placement) 방법에 기반하였다. 또한, 본 논문에서는 말풍선 배치가 얼마나 잘 되었는가를 평가하기 위한 객관적인 평가 함수를 제안하였다. "Love Actually", "살인의 추억"등의 다양한 영화 장면들을 이용하여 실험한 결과, 제안한 방법의 말풍선 배치 결과가 사람이 수작업으로 배치한 것과 비교해 크게 부족함이 없는 것을 알 수 있었다.