• Title/Summary/Keyword: EMD

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Secure Modulus Data Hiding Scheme

  • Kuo, Wen-Chung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.3
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    • pp.600-612
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    • 2013
  • In 2006, Zhang and Wang proposed a data hiding scheme based on Exploiting Modification Direction (EMD) to increase data hiding capacity. The major benefit of EMD is providing embedding capacity greater than 1 bit per pixel. Since then, many EMD-type data hiding schemes have been proposed. However, a serious disadvantage common to these approaches is that the embedded data is compromised when the embedding function is disclosed. Our proposed secure data hiding scheme remedies this disclosure shortcoming by employing an additional modulus function. The provided security analysis of our scheme demonstrates that attackers cannot get the secret information from the stegoimage even if the embedding function is made public. Furthermore, our proposed scheme also gives a simple solution to the overflow/underflow problem and maintains high embedding capacity and good stegoimage quality.

A Method for Selecting Similar Users for Collaborative Filtering (협업 필터링을 위한 EMD 기반 유사 사용자 선별 기법)

  • Kang, Yoon-Suk;Jeong, Seihyun;Lee, Sang-Chul;Jang, Min-Hee;Kim, Sang-Wook
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.11a
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    • pp.1371-1372
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    • 2012
  • 협업 필터링은 유사한 사용자를 선별하여 아이템을 추천하는 대표적인 추천 방법이다. 협업 필터링을 이용한 추천에서 추천 품질은 유사 사용자를 선별하는 기법에 따라 크게 달라질 수 있다. 본 논문에서는 협업 필터링 추천의 품질을 크게 개선 시킬 수 있는 새로운 유사 사용자 선별 기법을 제안한다. 제안하는 기법에서는 Earth Mover's Distance (EMD)를 이용하여 사용자간의 유사도를 정의한다. EMD를 적용하기 위해서 각 사용자를 히스토그램으로 표현하며, 히스토그램 빈(bin)간의 거리를 정의한다. 이렇게 정의된 유사도를 이용하여 타깃 사용자와 유사한 사용자들을 선별하며, 이를 기반으로 타깃 사용자가 부여한 타깃 아이템에 대한 점수를 예측한다. 다양한 실험을 통하여, 제안된 기법이 기존 기법들과 비교하여 추천의 정확도를 최대 30%까지 향상시키는 것으로 나타났다.

Hierarchical Order Statistics Filtering for Fast Bi-Dimensional Empirical Mode Decomposition

  • Semiz, Serkan;Celebi, Anil;Urhan, Oguzhan
    • ETRI Journal
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    • v.38 no.4
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    • pp.695-702
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    • 2016
  • A hierarchical approach for fast bi-dimensional empirical mode decomposition (B-EMD) is proposed. The presented approach utilizes an efficient window size determination scheme that enables the multi-level computation of the order statistics filter (OSF). Our detailed experiments show that the proposed OSF computation approach allows a significantly faster computation of an EMD without degrading the decomposition accuracy.

Fabrication of 200kV Coaxial Type Marx Generator and its Performances (200kV급 동축형 Marx 펄스발생장치 제작 및 동작특성)

  • Lee, Sang-Woog;Lee, Chae-Min;Koo, Ja-Yoon;Chang, Yong-Moo
    • Proceedings of the KIEE Conference
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    • 2008.10a
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    • pp.89-90
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    • 2008
  • Pulsed power technologies in variable fields require the pulsed high power sources. We fabricated the pulsed power generator, named EMD Pulse Generator(EPG), by using Marx circuit with 200 kV high, 50 ns fast rise time. In this paper, we described about the performances.

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Development of Real Time Control System of EMD Bracket in Plate Rolling Process (후판 압연 공정에서 Edge Masking Device의 실시간 제어기술 개발)

  • 최일섭;박병현;최승갑
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.170-170
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    • 2000
  • This paper deals with on-Line detection of strip movement and real time positioning of brackets of EMD connected with it. Strip movement is detected by 4 line CCD camera and measured position correction value is inputted to motor position controller to control position of brackets.

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Audio Watermarking Using Empirical Mode Decomposition (경험적 모드 분해법을 이용한 오디오 워터마킹)

  • Nguyen, Phuong;Kim, Jong-Myon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2014.01a
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    • pp.89-92
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    • 2014
  • This paper presents a secure and blind adaptive audio watermarking algorithm based on Empirical Mode Decomposition (EMD). The audio signal is divided into frames and each one is decomposed adaptively, by EMD, into several Intrinsic Mode Functions (IMFs). The watermark and the synchronization codes are then embedded into the extrema of the last IMF. The experimental results show that the proposed method has good imperceptibility and robustness against signal processing attacks.

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Analysis of Premotor Time and Electro-Mechanical Delay of Ankle Joint Muscles: A Comparison between Sitting and Standing Postures (족관절 근육의 전운동 시간과 전기역학적 지연 분석: 앉은 자세와 선 자세의 비교)

  • Kim, Ji-Won;Jeong, Hong-Young;Kwon, Yu-Ri;Kim, Hyo-Hee;Eom, Gwang-Moon;Park, Byung-Kyu
    • Journal of Biomedical Engineering Research
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    • v.33 no.2
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    • pp.98-103
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    • 2012
  • The purpose of this study was to compare premotor time(PMT) and electro-mechanical delay(EMD) between sitting and standing posture. Twenty four healthy young subjects(12 women and 12 men) participated in this study. Subjects were instructed to perform maximal, voluntary, isometric contraction of ankle muscle(tibialis anterior and gastrocnemius muscles) in reaction to auditory stimulus. PMT and EMD, calculated from stimulus, EMG and torque profile were compared between sitting and standing postures. As statistical analysis, paired t-test was performed to assess difference between sitting and standing posture. In both tibialis anterior and gastrocnemius muscles, EMD was found to be significantly longer for standing than sitting. However, PMT in standing posture was longer than that in sitting posture only in gastrocnemius muscles. These result indicate that increased reaction time, particularly, increased EMD of ankle muscles in standing posture may be caused by co-contraction of ankle muscles for postural control in standing posture.

Motor Imagery EEG Classification Method using EMD and FFT (EMD와 FFT를 이용한 동작 상상 EEG 분류 기법)

  • Lee, David;Lee, Hee-Jae;Lee, Sang-Goog
    • Journal of KIISE
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    • v.41 no.12
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    • pp.1050-1057
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    • 2014
  • Electroencephalogram (EEG)-based brain-computer interfaces (BCI) can be used for a number of purposes in a variety of industries, such as to replace body parts like hands and feet or to improve user convenience. In this paper, we propose a method to decompose and extract motor imagery EEG signal using Empirical Mode Decomposition (EMD) and Fast Fourier Transforms (FFT). The EEG signal classification consists of the following three steps. First, during signal decomposition, the EMD is used to generate Intrinsic Mode Functions (IMFs) from the EEG signal. Then during feature extraction, the power spectral density (PSD) is used to identify the frequency band of the IMFs generated. The FFT is used to extract the features for motor imagery from an IMF that includes mu rhythm. Finally, during classification, the Support Vector Machine (SVM) is used to classify the features of the motor imagery EEG signal. 10-fold cross-validation was then used to estimate the generalization capability of the given classifier., and the results show that the proposed method has an accuracy of 84.50% which is higher than that of other methods.

Long Term Variability of the Sun and Climate Change (태양활동 긴 주기와 기후변화의 연관성 분석)

  • Cho, Il-Hyun;Chang, Heon-Young
    • Journal of Astronomy and Space Sciences
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    • v.25 no.4
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    • pp.395-404
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    • 2008
  • We explore the linkage between the long term variability of the Sun and earth's climate change by analysing periodicities of time series of solar proxies and global temperature anomalies. We apply the power spectral estimation method named as the periodgram to solar proxies and global temperature anomalies. We also decompose global temperature anomalies and reconstructed total solar irradiance into each local variability components by applying the EMD (Empirical Mode Decomposition) and MODWT MRA (Maximal Overlap Discrete Wavelet Multi Resolution Analysis). Powers for solar proxies at low frequencies are lower than those of high frequencies. On the other hand, powers for temperature anomalies show the other way. We fail to decompose components which having lager than 40 year variabilities from EMD, but both residuals are well decomposed respectively. We determine solar induced components from the time series of temperature anomalies and obtain 39% solar contribution on the recent global warming. We discuss the climate system can be approximated with the second order differential equation since the climate sensitivity can only determine the output amplitude of the signal.

Additional use of autogenous periosteal barrier membrane combined with regenerative therapy in the interproximal intrabony defects: case series (치간부 골내낭의 치주재생치료에서 골막이식의 부가적 사용 증례)

  • Kim, Hyun-Joo;Kim, Hyung-min;Lee, Ju-Youn
    • Journal of Dental Rehabilitation and Applied Science
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    • v.33 no.3
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    • pp.230-237
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    • 2017
  • Regenerative therapy in an interproximal intrabony defect is a challenge due to unaesthetic appearance after surgery. In this article, we introduce a case series of additional use of autogenous periosteal barrier membrane combined with bovine bone mineral and enamel matrix derivative (EMD) in interproximal periodontal intrabony defects to overcome an aforementioned shortcoming. During the periodontal regenerative surgery, autogenous periosteal membrane was additionally adopted besides xenograft material and EMD. Clinical and radiographic examinations were performed before surgery and 6 months after surgical treatment. All clinical parameters were improved and the intrabony defects were resolved on the radiography 6 months after surgery. Moreover, soft tissue esthetics such as the contour of interdental papilla was better than that of conventional regenerative therapy. Periodontal regenerative therapy using several graft materials and bioactive materials was effective in the treatment of periodontal intrabony defect. Moreover, using of autogenous periosteal barrier membrane combined with xenograft and EMD has additional effect for the treatment of an interproximal intrabony defect in terms of augmentation of interdental soft tissue volume.