• Archives of Reconstructive Microsurgery
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• v.20 no.2
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• pp.121-125
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• 2011

Simple ganglions are most common benign tumor of the hand and wrist. However, cystic adventitial disease is an uncommon vascular anomaly first described in 1947 in the external iliac artery. It usually involves the popliteal artery, although other arteries and veins may also be involved. Radial artery adventitial cysts are found directly within the adventitia, whereas the more common wrist ganglions may extrinsically compress or adhere to the artery walls. The diagnosis is rarely made before surgery because of their similar appearance and location. The authors report a rare case of a 46-year old woman with mucoid adventitial cyst of the radial artery in the wrist.

• IEMEK Journal of Embedded Systems and Applications
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• v.8 no.1
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• pp.43-50
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• 2013

The narrow dynamic range of most smart phone cameras is severely limited. It usually is narrower than the dynamic range of most scenes. So we proposes a illuminance dynamic range expansion using multi-point knee for smart phone camera. Such as logarithmic functions the proposed method compress the image sensor output signal. Additionally, the proposed method was merged into the gamma that is essential circuit for any cameras. To justifying multi-point knee effectiveness, we configure the control and quality evaluation system for smart phone camera module. Experimental results show that the lost information by cut off and saturated affectively reconstructed in darker and in brighter areas. Finally this methods have advantage to implement without any changing hardware for conventional smart phones.

• ETRI Journal
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• v.32 no.6
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• pp.972-975
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• 2010

In this letter, we consider the lossy coding of a non-uniform binary source based on GF(q)-quantized low-density generator matrix (LDGM) codes with check degree $d_c$=2. By quantizing the GF(q) LDGM codeword, a non-uniform binary codeword can be obtained, which is suitable for direct quantization of the non-uniform binary source. Encoding is performed by reinforced belief propagation, a variant of belief propagation. Simulation results show that the performance of our method is quite close to the theoretic rate-distortion bounds. For example, when the GF(16)-LDGM code with a rate of 0.4 and block-length of 1,500 is used to compress the non-uniform binary source with probability of 1 being 0.23, the distortion is 0.091, which is very close to the optimal theoretical value of 0.074.

• Proceedings of the IEEK Conference
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• 2004.08c
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• pp.853-856
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• 2004

Image data processing on the region of interest (ROI) for providing the primary information is needed the view of saving search time and bandwidth over image communications related to web browsing, image database, and telemedicine, etc. Hence, the issue on extracting the region of interest is drawing a plenty of attention for the communication environment with a relatively low bandwidth such as mobile internet. In this paper, we propose a improved standard Maxshift method. The proposed algorithm compress image that includes multiple ROI using Maxshift method in Part 1 of JPEG2000. Simulation results show that proposed method increases PSNR vs. compression ratio performance above the Maxshift method.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2015.11a
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• pp.53-54
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• 2015

As the result of uniaxial compression strength test on the CLMS mixing BFS and SS with BFS 4000, it required to determine the desired strength through increasing unit quantity of cement in mixing process because of dramatic strength deterioration of strength according to increasing replacing rate. In this study's result, regardless of differences in fine aggregates used, in order to get uniaxial compression strength in the scope exceeding criteria of minimum strength for applying to the field, the most reasonable combination was to mix replacing BFS with fineness of 6000 in 30%. For the CLMS mixing BFS and SS, in order to improve flow ability by securing quantity of minimum unit and to repress bleeding rate with securing uniaxial compress strength considering the field applicability, regardless of differences in fine aggregates used, to mix BFS over 6000 in 30% was most effective.

• Journal of the Korea Society of Computer and Information
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• v.4 no.1
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• pp.1-6
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• 1999

In this paper We propose the new lossless compression method which use Huffman Coding using the preprocessing to compress the still image. The proposed methode divide into two parts according to activity of the image. If activities are high, the original Huffman Coding method was used directly. IF activities are low, the nibble run-length coding and the bit dividing method was used. The experimental results show that compression rate of the proposed method was better than the general Huffman Coding method.

• Proceedings of the Society of Korea Industrial and System Engineering Conference
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• 2002.05a
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• pp.455-460
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• 2002

As the transmission of 3D shape models through Internet becomes more important, the compression issue of shape models gets more critical. The issues for normal vectors have not yet been explored as much as it deserves, even though the size of the data for normal vectors can be significantly larger than its counterparts of topology and geometry. Presented in this paper is an approach to compress the normal vectors of a shape model represented in a mesh using the concept of clustering. It turns out that the proposed approach has a significant compression ratio without a serious sacrifice of the visual quality of the model.

• 전자공학회논문지 IE
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• v.47 no.2
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• pp.27-31
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• 2010

In this paper, a predictor switching algorithm for lossless compression is proposed. It uses adaptively one of two predictors using errors obtained by MED(median edge detector) and GAP(gradient adaptive prediction). The reduced error is measured by existing entropy method. Experimental results show that the proposed algorithm can compress higher than existing predictive methods.

• Proceedings of the KIEE Conference
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• 2004.11c
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• pp.358-360
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• 2004

The digital images contain a significant amount of redundancy and require a large amount of data for their storage and transmission. Therefore, the image compression is necessary to treat digital images efficiently. The goal of image compression is to reduce the number of bits required for their representation. The image compression can reduce the size of image data using contractive mapping of original image. Among the compression methods, the mapping is affine transformation to find the block(called range block) which is the most similar to the original image. In this paper, we applied the neural network(SOM) in encoding. In order to improve the performance of image compression, we intend to reduce the similarities and unnecesaries comparing with the originals in the codebook. In standard image coding, the affine transform is performed with eight isometries that used to approximate domain blocks to range blocks.

• Proceedings of the Korea Concrete Institute Conference
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• 1999.10a
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• pp.805-808
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• 1999

According to the results of this research, Production of Fold Concret Permanent-Form, was found to be possible by Concrete. The FCP-Form (Fold Concret Permanent-Form) Concrete had Compress strength 300kg/$\textrm{cm}^2$ and banding strength 120kg/$\textrm{cm}^2$. FCP-Form Model was made by the result of the first research. There was no mimute-crack on beam form and The outer surface of form was very smooth, and Those qualities it were made possible hand-made by experiment. With these results, The Production of FCP-Form seemed possible. In the banding load test, P-S showed increase of maxim load 12% than P-R. At the first stage of minute crack, under continuing loading size of crack increased. These phenomena seemed to be based on contribution of stress of inner bars in FCP-Form. In the test of defection. P-S shower about 10% banding load increase than P-R. FCP-Form Concrete was found to be efficient in compressibleness, defection, safety and use of material.