• Title/Summary/Keyword: 함수 임베딩

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Development of 3-State Blind Digital Watermark based on the Correlation Function (신호상관함수를 이용한 3 상태 능동적 디지털 워터마크의 개발)

  • Choi, YongSoo
    • Journal of Software Assessment and Valuation
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    • v.16 no.2
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    • pp.143-151
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    • 2020
  • The digital content's security and authentication are important in the field of digital content application. There are some methods to perform the authentication. The digital watermarking is one of authentication methods. Paper presents a digital watermark authentication method that works in the application of digital image. The proposed watermark has the triple status information and performs the embedding and the detection without original Content. When authenticating the owner information of digital content, an autocorrelation function is used. In addition, a spread spectrum method is used to be adaptive to the signal of the original content in the frequency domain(DWT Domain). Therefore, the possibility of errors occurring in the detection of hidden information was reduced. it also has a advantage what Watermarking in DWT has faster embedding and detection time than other transformation domains(DFT, DCT, etc.). if it has a an image of size N=mXm, the computational amount can be reduced from O(N·logN) to O(N). The particular advantage is that it can hide more information(bits) per bit.

Numerical Study on Properties of Metals and Expansion of Metal Hydrides (금속의 특성 및 금속수소화물의 팽창에 관한 수치해석)

  • Jung, Y.G.;Park, K.S.
    • Transactions of the Korean hydrogen and new energy society
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    • v.15 no.4
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    • pp.257-265
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    • 2004
  • Numerical analysis, as EAM(Embedded Atom Method), in the atomic level is necessary to analyze the relation between the hydrogen and hydrogen absorption metals. EAM established on density functional theory was developed as a new means for calculating various properties and phenomena of realistic metal systems. In this study, we had constructed the EAM program from constitutive formulae and parameters of the hydrogen, nickel and palladium for the purpose of predicting the expansion behavior on hydrogen absorbing. In result, not only the ground state properties of metals but also lattice constants and the volume expansion ratio of metal hydrides show good agreement with Daw's data and experiment data.

Improving Through-thickness Thermal Conductivity Characteristic of Hybrid Composite with Quantum Annealing (Quantum annealing을 통한 hybrid composite의 두께 방향 열전도 특성 개선)

  • Sung wook Cho;Seong S. Cheon
    • Composites Research
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    • v.37 no.3
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    • pp.170-178
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    • 2024
  • This study proposes a hybrid composite where a thin copper film (Cu film) is embedded in carbon fiber reinforced plastic (CFRP), and quantum annealing is applied to derive the combination of Cu film placement that maximizes the through-thickness thermal conductivity. The correlation between each ply of CFRP and the Cu film is analyzed through finite element analysis, and based on the results, a combination optimization problem is formulated. A formalization process is conducted to embed the defined problem into quantum annealing, resulting in the formulation of objective functions and constraints regarding the quantity of Cu films that can be inserted into each ply of CFRP. The formulated equations are programmed using Ocean SDK (Software Development Kit) and Leap to be embedded into D-Wave quantum annealer. Through the quantum annealing process, the optimal arrangement of Cu films that satisfies the maximum through-thickness thermal conductivity is determined. The resulting arrangements exhibit simpler patterns as the quantity of insertable Cu films decreases, while more intricate arrangements are observed as the quantity increases. The optimal combinations generated according to the quantity of Cu film placement illustrate the inherent thermal conductivity pathways in the thickness direction, indicating that the transverse placement freedom of the Cu film can significantly affect the results of through-thickness thermal conductivity.

Design and Implementation of a Speech Synthesis Engine and a Plug-in for Internet Web Page (인터넷 웹페이지의 음성합성을 위한 엔진 및 플러그-인 설계 및 구현)

  • Lee, Hee-Man;Kim, Ji-Yeong
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.2
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    • pp.461-469
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    • 2000
  • In the paper, the design and the implementation of the netscape plug-in and the speech synthesis enginegenerating the speech sounds from the text information of the web pages are described. The steps of the generating speech sound from an web pages are the speech synthesis plug-in is activated when the netscape finds the audio/xesp MIME data type embedded in the browsed web page; the HTML file referenced in the EMBED MTML tag is down loaded from the referenced URL to send to the commander object located in the said plug-in; The speech synthesis engine control tags and the text characters are extracted from the down loaded HTML document by the commander object the synthesized speech sounds are generated by the speech synthesis engine. The speech synthesis engine interprets the command streams from the commander objects to call the member functions for the processing of the speech segment data in the data banks. The commander object and the speech synthesis engine are designed as an independent object to enhancethe flexitility and the portability.

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Steganalysis Based on Image Decomposition for Stego Noise Expansion and Co-occurrence Probability (스테고 잡음 확대를 위한 영상 분해와 동시 발생 확률에 기반한 스테그분석)

  • Park, Tae-Hee;Kim, Jae-Ho;Eom, Il-Kyu
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.49 no.2
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    • pp.94-101
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    • 2012
  • This paper proposes an improved image steganalysis scheme to raise the detection rate of stego images out of cover images. To improve the detection rate of stego image in the steganalysis, tiny variation caused by data hiding should be amplified. For this, we extract feature vectors of cover image and stego image by two steps. First, we separate image into upper 4 bit subimage and lower 4 bit subimage. As a result, stego noise is expanded more than two times. We decompose separated subimages into twelve subbands by applying 3-level Haar wavelet transform and calculate co-occurrence probabilities of two different subbands in the same scale. Since co-occurrence probability of the two wavelet subbands is affected by data hiding, it can be used as a feature to differentiate cover images and stego images. The extracted feature vectors are used as the input to the multilayer perceptron(MLP) classifier to distinguish between cover and stego images. We test the performance of the proposed scheme over various embedding rates by the LSB, S-tool, COX's SS, and F5 embedding method. The proposed scheme outperforms the previous schemes in detection rate to existence of hidden message as well as exactness of discrimination.