• 제목/요약/키워드: Embedding method

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다공성 티타늄 임플란트의 생리활성물질 담지특성에 관한 연구 (A study of loading property of the bioactive materials in porous Ti implants)

  • 김영훈
    • 대한치과기공학회지
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    • 제35권4호
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    • pp.281-286
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    • 2013
  • Purpose: Surface modification is important techniques in modern dental and orthopedic implants. This study was performed to try embedding of bioactive materials in porous Ti implants. Methods: Porous Ti implant samples were fabricated by sintering of spherical Ti powders in a high vacuum furnace. It's diameter and height were 4mm and 20mm. Embedding process was used to suction and vacuum chamber. Loading properties of porous Ti implants were evaluated by scanning electron microscope(SEM), confocal laser scanning microscope(CLSM), and UV-Vis-NIR spectrophotometer. Results: Internal pore structure was formed fully open pore. Average pore size and porosity were $10.253{\mu}m$ and 17.506%. Conclusion: Porous Ti implant was fabricated successfully by sintering method. Particles are necking strongly each other and others portions were vacancy. This porous structure can be embedded to bioactive materials. Therefore bioactive materials will be able to embedding to porous Ti implants. Bioactive materials embedding in the porous Ti implant will induced new bone faster.

Word Embedding 자질을 이용한 한국어 개체명 인식 및 분류 (Korean Named Entity Recognition and Classification using Word Embedding Features)

  • 최윤수;차정원
    • 정보과학회 논문지
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    • 제43권6호
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    • pp.678-685
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    • 2016
  • 한국어 개체명 인식에 다양한 연구가 있었지만, 영어 개체명 인식에 비해 자질이 부족한 문제를 가지고 있다. 본 논문에서는 한국어 개체명 인식의 자질 부족 문제를 해결하기 위해 word embedding 자질을 개체명 인식에 사용하는 방법을 제안한다. CBOW(Continuous Bag-of-Words) 모델을 이용하여 word vector를 생성하고, word vector로부터 K-means 알고리즘을 이용하여 군집 정보를 생성한다. word vector와 군집 정보를 word embedding 자질로써 CRFs(Conditional Random Fields)에 사용한다. 실험 결과 TV 도메인과 Sports 도메인, IT 도메인에서 기본 시스템보다 각각 1.17%, 0.61%, 1.19% 성능이 향상되었다. 또한 제안 방법이 다른 개체명 인식 및 분류 시스템보다 성능이 향상되는 것을 보여 그 효용성을 입증했다.

웨이블릿 변환영역에서 이차방정식 삽입 방법을 이용한 디지털 워터마킹 (Digital Watermarking using a Quadratic Equation Embedding Method in Wavelet Transform Domain)

  • 신용달
    • 한국멀티미디어학회논문지
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    • 제6권5호
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    • pp.870-875
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    • 2003
  • 본 논문에서는 웨이블릿 변환영역에서 비가시성을 개선하기 위하여 이차방정식 삽입방법을 이용한 디지털 워터마킹을 제안하였다. 기존의 디지털 워터마킹 방법에서 워터마크를 삽입하는 방법은 일차 방정식의 형태로 사용하였으나, 제안한 방법에서는 이차 방정식 형태로 확장하였다. 제안한 방법과 기존의 방법에 대한 성능을 평가하기 위해서 LENA, GOLDHILL, BARBARA, 및 MAN 영상을 사용하여 컴퓨터 모의실험을 행하였다. 모의실험 결과 정규화 된 유사도가 100%일 때 원 영상과 워터마크가 삽입된 영상과의 PSNR을 비교한 결과 제안한 방법이 기존의 방법들 보다 모든 영상에서 비가시성이 매우 우수함을 확인할 수 있었다.

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GENUS DISTRIBUTIONS FOR BOUQUETS OF DIPOLES

  • Jin Hwan Kim;Jaeun Lee
    • 대한수학회지
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    • 제35권1호
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    • pp.225-234
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    • 1998
  • We compute genus distributions for bouquets of dipoles by using the method concerning the cycle structure of permutations in the symmetric group. From this, we can deduce that every bouquet of dipoles is upper embeddable. We find a foumula for computing the embedding polynomials for bouquets of dipoles.

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Cross-architecture Binary Function Similarity Detection based on Composite Feature Model

  • Xiaonan Li;Guimin Zhang;Qingbao Li;Ping Zhang;Zhifeng Chen;Jinjin Liu;Shudan Yue
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권8호
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    • pp.2101-2123
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    • 2023
  • Recent studies have shown that the neural network-based binary code similarity detection technology performs well in vulnerability mining, plagiarism detection, and malicious code analysis. However, existing cross-architecture methods still suffer from insufficient feature characterization and low discrimination accuracy. To address these issues, this paper proposes a cross-architecture binary function similarity detection method based on composite feature model (SDCFM). Firstly, the binary function is converted into vector representation according to the proposed composite feature model, which is composed of instruction statistical features, control flow graph structural features, and application program interface calling behavioral features. Then, the composite features are embedded by the proposed hierarchical embedding network based on a graph neural network. In which, the block-level features and the function-level features are processed separately and finally fused into the embedding. In addition, to make the trained model more accurate and stable, our method utilizes the embeddings of predecessor nodes to modify the node embedding in the iterative updating process of the graph neural network. To assess the effectiveness of composite feature model, we contrast SDCFM with the state of art method on benchmark datasets. The experimental results show that SDCFM has good performance both on the area under the curve in the binary function similarity detection task and the vulnerable candidate function ranking in vulnerability search task.

다공성 티타늄 임플란트의 담지물질 방출거동 (Release behavior of embedding materials on the porous Ti implants)

  • 김영훈;김남중
    • 대한치과기공학회지
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    • 제36권3호
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    • pp.179-184
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    • 2014
  • Purpose: This study was performed to investigate the release behavior of bioactive materials as a BMP-2 embedding on the porous titanium implant. Methods: Porous Ti implant samples were fabricated by sintering of spherical Ti powders in a high vacuum furnace. Specimens diameter and height were 4mm and 10mm. Embedding materials were used to stamp ink. Sectional images, porosity and release behavior of porous Ti implants were evaluated by scanning electron microscope(SEM), mercury porosimeter and UV-Vis-NIR spectrophotometer. Results: Internal pore structure was formed fully open pore. Average pore size and porosity were $8.993{\mu}m$ and 8.918%. Embedding materials were released continually and slowly. Conclusion: Porous Ti implant was fabricated successfully by sintering method. Particles are necking strongly each other and others portions were vacancy. Therefore bioactive materials will be able to embedding to porous Ti implants. If the development of the fusion implant of the bioactive material will be able to have the chance to several patients.

곡선 부-분할 보간과 Neighbor Embedding 기반의 복합 초고해상도 기법 (Hybrid Super Resolution Based on Curve Subdivision Interpolation and Neighbor Embedding)

  • 오의열;이용건;이지은;최윤식
    • 전기학회논문지
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    • 제64권9호
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    • pp.1369-1373
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    • 2015
  • Curve subdivision interpolation reconstructs edge well with low complexity, however it lacks of ability to recover texture components, instead. While, neighbor embedding is superior in texture reconstruction. Therefore, in this paper, a novel Super Resolution technique which combines curve subdivision interpolation and neighbor embedding is proposed. First, edge region and non-edge regions are classified. Then, for edge region, the curve subdivision algorithm is used to make two polynomials derived from discrete pixels and adaptive weights are adapted for gradients of 4 different sides to make smooth edge. For non edge region, neighbor-embedding method is used to conserve texture property in original image. Consequently results show that the proposed technique conserves sharp edges and details in texture better, simultaneously.

Chip Impedance Evaluation Method for UHF RFID Transponder ICs over Absorbed Input Power

  • Yang, Jeen-Mo;Yeo, Jun-Ho
    • ETRI Journal
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    • 제32권6호
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    • pp.969-971
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    • 2010
  • Based on a de-embedding technique, a new method is proposed which is capable of evaluating chip impedance behavior over absorbed power in flip-chip bonded UHF radio frequency identification transponder ICs. For the de-embedding, four compact co-planar test fixtures, an equivalent circuit for the fixtures, and a parameter extraction procedure for the circuit are developed. The fixtures are designed such that the chip can absorb as much power as possible from a power source without radiating appreciable power. Experimental results show that the proposed modeling method is accurate and produces reliable chip impedance values related with absorbed power.

Robust Watermarking Scheme Based on Radius Weight Mean and Feature-Embedding Technique

  • Yang, Ching-Yu
    • ETRI Journal
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    • 제35권3호
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    • pp.512-522
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    • 2013
  • In this paper, the radius weight mean (RWM) and the feature-embedding technique are used to present a novel watermarking scheme for color images. Simulations validate that the stego-images generated by the proposed scheme are robust against most common image-processing operations, such as compression, color quantization, bit truncation, noise addition, cropping, blurring, mosaicking, zigzagging, inversion, (edge) sharpening, and so on. The proposed method possesses outstanding performance in resisting high compression ratio attacks: JPEG2000 and JPEG. Further, to provide extra hiding storage, a steganographic method using the RWM with the least significant bit substitution technique is suggested. Experiment results indicate that the resulting perceived quality is desirable, whereas the peak signal-to-noise ratio is high. The payload generated using the proposed method is also superior to that generated by existing approaches.

A Color Image Watermarking Method for Embedding Audio Signal

  • Kim Sang Jin;Kim Chung Hwa
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2004년도 학술대회지
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    • pp.631-635
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    • 2004
  • The rapid development of digital media and communication network urgently brings about the need of data certification technology to protect IPR (Intellectual property right). This paper proposed a new watermarking method for embedding contents owner's audio signal in order to protect color image IPR. Since this method evolves the existing static model and embeds audio signal of big data, it has the advantage of restoring signal transformed due to attacks. Three basic stages of watermarking include: 1) Encode analogue ID owner's audio signal using PCM and create new 3D audio watermark; 2) Interleave 3D audio watermark by linear bit expansion and 3) Transform Y signal of color image into wavelet and embed interleaved audio watermark in the low frequency band on the transform domain. The results demonstrated that the audio signal embedding in color image proposed in this paper enhanced robustness against lossy JPEG compression, standard image compression and image cropping and rotation which remove a part of image.

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