• Title/Summary/Keyword: encoding

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Detection of Neuronal Activity by Motion Encoding Gradients: A Snail Ganglia Study

  • Park, Tae-S.;Park, Ji-Ho;Cho, Min-H.;Lee, Soo-Y.
    • Journal of Biomedical Engineering Research
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    • v.28 no.1
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    • pp.24-28
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    • 2007
  • Presuming that firing neurons have motions inside the MRI magnet due to the interaction between the neuronal magnetic field and the main magnetic field, we applied motion encoding gradients to dissected snail ganglia to observe faster responding MRI signal than the BOLD signal. To activate the snail ganglia in synchronization with the MRI pulse sequence, we used electrical stimulation with the frequency of 30 Hz and the pulse width of 2s. To observe the fast responding signal, we used the volume selected MRI sequence. The magnetic resonance signal intensity, measured with 8 ms long motion encoding gradient with a 20mT/m gradient strength, decreased about $3.46{\pm}1.48%$ when the ganglia were activated by the electrical stimulation.

Fast Double Random Phase Encoding by Using Graphics Processing Unit (GPU 컴퓨팅에 의한 고속 Double Random Phase Encoding)

  • Saifullah, Saifullah;Moon, In-Kyu
    • Proceedings of the Korea Multimedia Society Conference
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    • 2012.05a
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    • pp.343-344
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    • 2012
  • With the increase of sensitive data and their secure transmission and storage, the use of encryption techniques has become widespread. The performance of encoding majorly depends on the computational time, so a system with less computational time suits more appropriate as compared to its contrary part. Double Random Phase Encoding (DRPE) is an algorithm with many sub functions which consumes more time when executed serially; the computation time can be significantly reduced by implementing important functions in a parallel fashion on Graphics Processing Unit (GPU). Computing convolution using Fast Fourier transform in DRPE is the most important part of the algorithm and it is shown in the paper that by performing this portion in GPU reduced the execution time of the process by substantial amount and can be compared with MATALB for performance analysis. NVIDIA graphic card GeForce 310 is used with CUDA C as a programming language.

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Design of Data Encoding Algorithm for the Two Dimensional Barcode (2차원 바코드를 위한 데이터 부호화 알고리즘 설계)

  • Jeon, Seong-Goo;Her, Nam-Euk;Kim, Il-Hwan
    • Proceedings of the KIEE Conference
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    • 2005.05a
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    • pp.173-175
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    • 2005
  • In this paper, we propose a data encoding algorithm for two-dimensional barcode system. In general, one-dimensional barcode is just a key which can access detailed information to the host computer database. But the two-dimensional barcode is a new technology which can obtain high density information without access to the host computer database. We implemented encoding algorithm for Data Matrix Barcode which is the most widely used among the many kind of two-dimensional barcodes. And we marked to a real object using Digital Signal Processor(DSP) Marking System. The performance of proposed algorithm is verified through the result of marking work.

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Compression of Normal Vectors using Octree Encoding (옥트리 인코딩을 이용한 법선 벡터의 압축)

  • Kim, Y.J.;Kim, J.J.
    • Korean Journal of Computational Design and Engineering
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    • v.12 no.2
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    • pp.109-117
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    • 2007
  • Three-dimensional mesh models have been widely used in various applications such as simulations, animations, and e-catalogs. In such applications the normal vectors of mesh models are used mainly for shading and take up the major portion of data size and transmission time paper over networks. Therefore a variety of techniques have been developed to compress them efficiently. In this paper, we propose the MOEC (Modified Octree Encoding Compression) algorithm, which allow multi lever compression ratios for 3D mesh models. In the algorithm, a modified octree has nodes representing their own positions and supporting a depth of the tree so that the normal vectors are compressed up to levels where the shading is visually indistinguishable. This approach provides efficient in compressing normals with multi-level ratios, without additional encoding when changing in compression ratio is required.

Effect of Changing the Basis in Genetic Algorithms Using Binary Encoding

  • Kim, Yong-Hyuk;Yoon, You-Rim
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.2 no.4
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    • pp.184-193
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    • 2008
  • We examine the performance of genetic algorithms using binary encoding, with respect to a change of basis. Changing the basis can result in a change in the linkage structure inherent in the fitness function. We test three simple functions with differing linkage strengths and analyze the results. Based on an empirical analysis, we show that a better basis results in a smoother fitness landscape, hence genetic algorithms based on the new encoding method provide better performance.

A Tool for Reconstruction of the Sensitivity Encoded Data with Sensitivity Encoding (SENSE)

  • Yun, Sung-Dae;Song, Myung-Sung;Chung, Jun-Young;Park, Hyun-Wook
    • Proceedings of the KSMRM Conference
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    • 2003.10a
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    • pp.71-71
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    • 2003
  • For fast MRI, the number of phase encoding steps has to be reduced. However, the reconstructed image is aliased if the phase encoding steps don't satisfy Nyquist sampling theory. SENSE is used in order to eliminate the aliasing effect as well as to reduce imaging time. SENSE is a linear algebraic technique applied to the multiple receiver data. In this study, we implement a tool to reconstruct the original image (SENSE image) with Sensitivity Encoding (SENSE)

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Low-Complexity MPEG-4 Shape Encoding towards Realtime Object-Based Applications

  • Jang, Euee-Seon
    • ETRI Journal
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    • v.26 no.2
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    • pp.122-135
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    • 2004
  • Although frame-based MPEG-4 video services have been successfully deployed since 2000, MPEG-4 video coding is now facing great competition in becoming a dominant player in the market. Object-based coding is one of the key functionalities of MPEG-4 video coding. Real-time object-based video encoding is also important for multimedia broadcasting for the near future. Object-based video services using MPEG-4 have not yet made a successful debut due to several reasons. One of the critical problems is the coding complexity of object-based video coding over frame-based video coding. Since a video object is described with an arbitrary shape, the bitstream contains not only motion and texture data but also shape data. This has introduced additional complexity to the decoder side as well as to the encoder side. In this paper, we have analyzed the current MPEG-4 video encoding tools and proposed efficient coding technologies that reduce the complexity of the encoder. Using the proposed coding schemes, we have obtained a 56 percent reduction in shape-coding complexity over the MPEG-4 video reference software (Microsoft version, 2000 edition).

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Fractal image compression based on discrete wavelet transform domain (이산 웨이브렛 변환 영역에 기반한 프랙탈 영상 압축)

  • 배성호;박길흠
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.7
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    • pp.1654-1667
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    • 1996
  • The conventional fractal image compression methods have high computational complexity at encoding reduce PSNR at low bit rate and havehighly visible blocking effects in a reconstructed image. In this paper we propose a fractal image compression method based on disctete wavelet transform domain, which takes the absolute value of discrete wavelet transform coefficient, and assembles the discrete wavelet tranform coefficients of different highpass subbands corresponding to the same spatial block and then applies "0" encoding according to the energy of each range blocks. The proposed method improved PSNR at low bit rate and reduced computational complexity at encoding distinctly. Also, this method can achieve a blockless reconstructed image and perform hierarchical decoding without recursive constractive transformation. Computer simulations with several test images show that the proposed method shows better performance than convnetional fractal coding methods for encoding still pictures. pictures.

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Encoding of XML Elements for Mining Association Rules

  • Hu Gongzhu;Liu Yan;Huang Qiong
    • The Journal of Information Systems
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    • v.14 no.3
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    • pp.37-47
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    • 2005
  • Mining of association rules is to find associations among data items that appear together in some transactions or business activities. As of today, algorithms for association rule mining, as well as for other data mining tasks, are mostly applied to relational databases. As XML being adopted as the universal format for data storage and exchange, mining associations from XML data becomes an area of attention for researchers and developers. The challenge is that the semi-structured data format in XML is not directly suitable for traditional data mining algorithms and tools. In this paper we present an encoding method to encode XML tree-nodes. This method is used to store the XML data in Value Table and Transaction Table that can be easily accessed via indexing. The hierarchical relationship in the original XML tree structure is embedded in the encoding. We applied this method to association rules mining of XML data that may have missing data.

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Skipping Method of Quantization for Fast Video Encoding (고속 동영상 압축을 위한 양자화 과정 생략 기법)

  • Song, Won-Seon;Kim, Beom-Su;Hong, Min-Cheol
    • Proceedings of the IEEK Conference
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    • 2007.07a
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    • pp.323-324
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    • 2007
  • In this paper, we present the method of skipping the quantization for fast video encoding. Based on the theoretical analyzes for the integer transform and quantization in H.264 video coder, we can derive a sufficient threshold under which each quantized coefficient becomes zero. In addition, in order to reduce the complexity of the fast video encoding, complexity is improved, leading to improvement of total encoding time saving for given threshold. The simulation results show the capability of the proposed algorithm.

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