• 전자공학회논문지
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• 제51권7호
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• pp.96-102
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• 2014

본 논문에서는 dual-rail data encoding방식을 적용하여 비동기식시스템을 설계할 때, 신호천이를 줄이고 소비전력을 줄이기 위하여 4-phase handshaking 프로토콜과 2-phase handshaking 프로토콜을 혼합한 dual-rail data encoding방식을 제안한다. 기존의 dual-rail data encoding 4-phase handshaking 프로토콜은 space state가 존재함으로 말미암아 신호 천이가 많이 발생하게 되고 많은 전력소비를 발생한다. 이론적으로 dual-rail data encoding 2-phase handshaking 프로토콜은 dual-rail data encoding 4-phase handshaking 프로토콜보다 빠르고 신호천이도 적지만 표준 라이브러리를 사용하여 설계할 수 없다. 제안하는 혼합형 dual-rail data encoding 방식의 성능을 평가하기 위하여 Adder블록, Multiplier블록, Latch를 포함한 benchmark회로를 설계를 설계하였다. Benchmark회로를 이용하여 시뮬레이션해본 결과, 제안하는 혼합형 dual-rail data encoding방식은 기존의 dual-rail data encoding 4-phase handshaking 프로토콜에 비해 35%이상 전력소비가 감소되는 결과를 얻었다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2005년도 추계종합학술대회
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• pp.343-346
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• 2005

In this study, a basic concept of wavelet encoding and its advantages over Fourier based phase encoding application. Wavelet encoding has been proposed as an alternative way to Fourier based phase encoding in magnetic resonance imaging. In wavelet encoding, the RF pulse is designed to generate wavelet-shaped excitation profile of spins. From the resulting echo signals, the wavelet transform coefficients of spin distribution are acquired and an original spin density is reconstructed from wavelet expansion. Wavelet encoding has several advantages over phase encoding. By minimizing redundancy of the data acquisition in a dynamic series of images, we can avoid some encoding steps without serious loss of quality in reconstructed image. This strategy may be regarded as data compression during imaging. Although there are some limitations in wavelet encoding, it is a promising scheme in a dynamic imaging.

• Journal of the Optical Society of Korea
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• 제18권4호
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• pp.401-405
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• 2014

In this paper, we propose an accumulation encoding scheme based on double random phase encryption (DRPE) for multiple-image transmission. The proposed scheme can be used for a low-complexity DRPE system due to the simple structure of the accumulation encoder and decoder. For accumulation encoding of multiple images, all of the previously encrypted data are added, and hence the accumulation encoding can improve the security of the DRPE-encrypted data. We present a scheme for encryption and decryption for DRPE-based accumulation encoding, and a method for accumulation encoding and decoding. Finally, simulation results verify that the DRPE-based accumulation encoding scheme for multiple images is powerful in terms of data security.

• 한국차세대컴퓨팅학회논문지
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• 제13권5호
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• pp.124-130
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• 2017

문자 인코딩은 문자나 기호를 컴퓨터로 표현하기 위해 사용되는 방법이며 문자 인코딩 판별 소프트웨어들이 존재한다. 기존의 널리 쓰이는 인코딩 판별 소프트웨어인"uchardet"의 경우 변조되지 않은 일반 문서의 인코딩 판별 정확도는 91.39% 이지만 언어 판별 정확도는 32.09%에 불과하다. 또한 문서가 치환 암호에 의해 암호화 된 경우 인코딩 판별 정확도는 3.55%, 언어 판별 정확도는 0.06%로 매우 낮은 정확도를 보였다. 따라서 본 논문에서는 Deep learning 알고리즘인 LSTM(Long Short-Term Memory)을 이용한 문서의 인코딩 및 언어 판별 방법을 제안하며, 기존의 인코딩 판별 소프트웨어"uchardet"보다 뛰어난 결과를 보였다. 제안하는 방법을 이용한 일반 문서의 인코딩 판별 정확도는 99.89%이며, 언어 판별 정확도는 99.92%이다. 또한 문서가 치환 암호에 의해 암호화된 경우에는 제안하는 방법의 인코딩 판별 정확도는 99.26%이며, 언어 판별 정확도는 99.77%로 매우 뛰어나다.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2013년도 제48차 하계학술발표논문집 21권2호
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• pp.97-99
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• 2013

Although UCI Identification metadata is not represented in the UCI syntax, it means a set of elements that enable users to easily and quickly identify. Against this backdrop, we research on how to design identification metadata for UCI. First of all, we check ISO/IEC 11179 and compare this with UCI properties. And then we defines nine components (such as UCI, Identifier, Title, Type, Mode, Format, Contributor, ContributorEntitiy, and ContributorRole) as elements of the identification metadata and establish encoding scheme with several parts (such as List of Encoding Scheme, Encoding Scheme of Identifier, Encoding Scheme of Type, Encoding Scheme of Mode, Encoding Scheme of Format, and Encoding Scheme of ContributorRole).

• 제어로봇시스템학회논문지
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• 제18권12호
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• pp.1096-1100
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• 2012

Most of previous genetic algorithms for solving graph problems have used a vertex-based encoding. We proposed an edge encoding based new genetic algorithm using a spanning tree. Contrary to general edge-based encoding, a spanning tree-based encoding represents only feasible partitions. As a target problem, we adopted the MAX CUT problem, which is well known as a representative NP-hard problem, and examined the performance of the proposed genetic algorithm. The experiments on benchmark graphs are executed and compared with vertex-based encoding. Performance improvements of the spanning tree-based encoding on sparse graphs was observed.

• Journal of the Optical Society of Korea
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• 제18권3호
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• pp.201-206
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• 2014

In this paper we extend double random phase encryption (DRPE) using orthogonal encoding from single-image transmission to multiple-image transmission. The orthogonal encoding for multiple images employs a larger Hadamard matrix than that for a single image, which can improve security. We provide a scheme for DRPE with an orthogonal codec, and a method for orthogonal encoding/decoding for multiple-image transmission. Finally, simulation results verify that the DRPE using orthogonal encoding for multiple images is more secure than both the conventional DRPE and the DRPE using orthogonal encoding for a single image.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권2호
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• pp.832-854
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• 2019

Action recognition has been studied in computer vision field for years. We present an effective approach to recognize actions using a dimension reduction method, which is applied as a crucial step to reduce the dimensionality of feature descriptors after extracting features. We propose to use sparse matrix and randomized kd-tree to modify it and then propose modified Local Fisher Discriminant Analysis (mLFDA) method which greatly reduces the required memory and accelerate the standard Local Fisher Discriminant Analysis. For feature encoding, we propose a useful encoding method called mix encoding which combines Fisher vector encoding and locality-constrained linear coding to get the final video representations. In order to add more meaningful features to the process of action recognition, the convolutional neural network is utilized and combined with mix encoding to produce the deep network feature. Experimental results show that our algorithm is a competitive method on KTH dataset, HMDB51 dataset and UCF101 dataset when combining all these methods.

• ETRI Journal
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• 제37권2호
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• pp.241-250
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• 2015

In this paper, we present novel high-speed transmission schemes for high-speed ultra-high frequency (UHF) radio-frequency identification communication. For high-speed communication, tags communicate with a reader using a high-speed Miller (HS-Miller) encoding and multiple antennas, and a reader communicates with tags using extended pulse-interval encoding (E-PIE). E-PIE can provide up to a two-fold faster data rate than conventional pulse-interval encoding. Using HS-Miller encoding and orthogonal multiplexing techniques, tags can achieve a two- to three-fold faster data rate than Miller encoding without degrading the demodulation performance at a reader. To verify the proposed transmission scheme, the MATLAB/Simulink model for high-speed backscatter based on an HS-Miller modulated subcarrier has been designed and simulated. The simulation results show that the proposed transmission scheme can achieve more than a 3 dB higher BER performance in comparison to a Miller modulated subcarrier.

• 한국지구과학회지
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• 제32권6호
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• pp.575-585
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• 2011

웨이브렛 변환을 이용한 인공위성 영상의 압축을 보다 효과적으로 수행할 수 있는 필터의 조합을 살펴보았다. 압축정도를 표현하는 방법으로 encoding ratio를 이용하였고, 웨이브렛의 선택에 따라 PSNR값과 encoding ratio값이 변하는 양상을 보았다. 웨이브렛의 선택에 따라 PSNR값은 대략 13.2-21.6% 정도의 차이를 보였고 encoding ratio는 16.8-45.5%까지의 차이를 보였다. SAR 영상의 경우 encoding ratio는 16%20% 변동이 있지만, 일반영상의 경우는 웨이브렛의 선택에 따라 40% 이상 변화였다. 영상 압축시 웨이브렛의 선택효과는 인공위성 영상보다 일반영상에서 큰 영향을 미쳤다. PSNR, encoding ratio의 지수에서 인공위성 영상은 웨이브렛 선택에 영향을 덜 받는다. 인공위성 영상의 압축에 대한 웨이브렛 선택효과를 보여주기 위하여 새로운 지수인 ECR을 제안하였다. ECR은 일반영상보다 인공위성영상에서 웨이브렛의 종류에 따른 영향이 더 적게 나타났다. 그러나 인공위성 영상 압축시 3개의 지수에서 웨이브렛의 선택효과는 최소한 10% 이상으로 선택의 중요성은 무시될 수 없을 것이다.