• Title/Summary/Keyword: Multi-Threshold

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A Multiple Features Video Copy Detection Algorithm Based on a SURF Descriptor

  • Hou, Yanyan;Wang, Xiuzhen;Liu, Sanrong
    • Journal of Information Processing Systems
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    • v.12 no.3
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    • pp.502-510
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    • 2016
  • Considering video copy transform diversity, a multi-feature video copy detection algorithm based on a Speeded-Up Robust Features (SURF) local descriptor is proposed in this paper. Video copy coarse detection is done by an ordinal measure (OM) algorithm after the video is preprocessed. If the matching result is greater than the specified threshold, the video copy fine detection is done based on a SURF descriptor and a box filter is used to extract integral video. In order to improve video copy detection speed, the Hessian matrix trace of the SURF descriptor is used to pre-match, and dimension reduction is done to the traditional SURF feature vector for video matching. Our experimental results indicate that video copy detection precision and recall are greatly improved compared with traditional algorithms, and that our proposed multiple features algorithm has good robustness and discrimination accuracy, as it demonstrated that video detection speed was also improved.

Communication-Theoretic Analysis of Capture-Based Networks

  • Nguyen, Gam D.;Wieselthier, Jeffrey E.;Ephremides, Anthony
    • Journal of Communications and Networks
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    • v.14 no.3
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    • pp.243-251
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    • 2012
  • Under the power-based capture model, a transmission is successfully received at the destination, even in the presence of other transmissions and background noise, if the received signal-to-interference-plus-noise ratio exceeds a capture threshold. We evaluate the spectral efficiency of simple multi-user channels by combining the basic capture model with a communication-theoretic model. The result is a more refined capture model that incorporates key system design parameters (such as achievable bit rate, target bit error rate, channel bandwidth, and modulation signal constellations) that are absent from the basic capture model. The relationships among these parameters can serve as a tool for optimizing the network performance.

multi-stack gate dielectric 구조를 통한 LTPS TFT 특성

  • Baek, Gyeong-Hyeon;Jeong, Seong-Uk;Jang, Gyeong-Su;Park, Hyeong-Sik;Lee, Won-Baek;Yu, Gyeong-Yeol;Lee, Jun-Sin
    • Proceedings of the Korean Vacuum Society Conference
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    • 2010.08a
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    • pp.200-200
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    • 2010
  • 이 논문에서는 field-effect mobility를 향상시키기 위해 triple-layer (SiNx/SiO2/SiOxNy stack 구조)를 gate dielectric material 로 LTPS TFTs에 적용하였다. 이는 플라즈마 처리 기법과 적층구조의 효과적인 in-situ 공정을 이용하여 interface trap과 mobile charge를 낮추어 높은 이동도의 결과를 생각하고 실험하였다. 실험은 SiO2 gatedielectric과 triple-gate dielectric의 C-V curve를 1 MHz의 주파수에서 측정하였다. 또한 Transfer characteristics를 single SiO2 gatedielectric과 triple-gate dielectric of SiNx/SiO2/SiOxNy를 STA 장비를 이용해 측정하였다. 위의 측정을 통해 threshold voltage, mobility, subtheshold swing, driving current, ON/OFF current ratio를 비교 분석하였다.

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The Performance Advancement of Test Algorithm for Inner Defects in Semiconductor Packages (반도체 패키지의 내부 결함 검사용 알고리즘 성능 향상)

  • 김재열;윤성운;한재호;김창현;양동조;송경석
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.10a
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    • pp.345-350
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    • 2002
  • In this study, researchers classifying the artificial flaws in semiconductor packages are performed by pattern recognition technology. For this purposes, image pattern recognition package including the user made software was developed and total procedure including ultrasonic image acquisition, equalization filtration, binary process, edge detection and classifier design is treated by Backpropagation Neural Network. Specially, it is compared with various weights of Backpropagation Neural Network and it is compared with threshold level of edge detection in preprocessing method fur entrance into Multi-Layer Perceptron(Backpropagation Neural network). Also, the pattern recognition techniques is applied to the classification problem of defects in semiconductor packages as normal, crack, delamination. According to this results, it is possible to acquire the recognition rate of 100% for Backpropagation Neural Network.

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Standardized Agricultural Land Use Classification Scheme at Various Spatial Resolution of Satellite Images

  • Hong Seong Min;Jung In Kyun;Park Geun Ae;Kim Seong Joon
    • Journal of The Korean Society of Agricultural Engineers
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    • v.46 no.7
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    • pp.15-21
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    • 2004
  • This study is to present a standardized agricultural land use classification scheme at various spatial resolution (from 1 m to 30 m) of satellite images including Landsat TM, KOMPSAT-1 EOC, ASTER VNIR and IKONOS panchromatic (PAN) and multi-spectral (MS) images. The satellite images were interpreted especially for identifying agricultural land use, crop types, agricultural facilities and structures of 18 items. It was found that there is a threshold spatial resolution between 4 m and 6.6 m to identify the full items. Thus it is suggested that IKONOS fusion image (MS enhanced by PAN) is required to produce land use map for agricultural purpose.

Novel User Selection Algorithm for MU-MIMO Downlink System with Block Diagonalization (Block Diagonalization을 사용하는 하향링크 시스템에서의 MU-MIMO 사용자 스케쥴링 기법)

  • Kim, Kyunghoon
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.14 no.3
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    • pp.77-85
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    • 2018
  • Multi-User Multiple-Input Multiple-Output (MU-MIMO) is the core technology for improving the channel capacity compared to Single-User MIMO (SU-MIMO) by using multiuser gain and spatial diversity. Key problem for the MU-MIMO is the user selection which is the grouping the users optimally. To solve this problem, we adopt Extreme Value Theory (EVT) at the beginning of the proposed algorithm, which defines a primary user set instead of a single user that has maximum channel power according to a predetermined threshold. Each user in the primary set is then paired with all of the users in the system to define user groups. By comparing these user groups, the group that produces a maximum sum rate can be determined. Through computer simulations, we have found that the proposed method outperforms the conventional technique yielding a sum rate that is 0.81 bps/Hz higher when the transmit signal to noise ratio (SNR) is 30 dB and the total number of users is 100.

Measure Correlation Analysis of Network Flow Based On Symmetric Uncertainty

  • Dong, Shi;Ding, Wei;Chen, Liang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.6
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    • pp.1649-1667
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    • 2012
  • In order to improve the accuracy and universality of the flow metric correlation analysis, this paper firstly analyzes the characteristics of Internet flow metrics as random variables, points out the disadvantages of Pearson Correlation Coefficient which is used to measure the correlation between two flow metrics by current researches. Then a method based on Symmetrical Uncertainty is proposed to measure the correlation between two flow metrics, and is extended to measure the correlation among multi-variables. Meanwhile, the simulation and polynomial fitting method are used to reveal the threshold value between different correlation degrees for SU method. The statistical analysis results on the common flow metrics using several traces show that Symmetrical Uncertainty can not only represent the correct aspects of Pearson Correlation Coefficient, but also make up for its shortcomings, thus achieve the purpose of measuring flow metric correlation quantitatively and accurately. On the other hand, reveal the actual relationship among fourteen common flow metrics.

Pilot observations of VLBI fringe survey at 43 GHz using VERA

  • Oh, Jung-Hwan;Lee, Sang-Sung;Honma, Mareki;Kovalev, Y.Y.;Petrov, Leonid;Sohn, Bong-Won
    • The Bulletin of The Korean Astronomical Society
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    • v.36 no.2
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    • pp.60.1-60.1
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    • 2011
  • We present the preliminary results of the pilot observations for the fringe survey at 43 GHz with the VLBI Exploration of Radio Astrometry (VERA). The main goals of the fringe survey are to establish a full list of phase calibrators for the VERA dual-beam astrometric observations, and for the KVN multi-frequency phase referencing observations. We performed two 24 hours experiments as a pilot observation to test the feasibility of the fringe survey. Each source from a list of 220 sources has been observed in one scan for 2 minutes. 67 sources were detected with the SNR threshold of 3.5. The correlated flux densities of the detected sources are presented in four ranges of projected baseline lengths.

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An Adaptive Scheduling Scheme for Cooperative Energy Harvesting Networks

  • Ammar, Ahmed;Reynolds, Daryl
    • Journal of Communications and Networks
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    • v.17 no.3
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    • pp.256-264
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    • 2015
  • Energy harvesting devices have been proposed for sensor networking applications where batteries cannot be replaced, and cooperative communication schemes have been used to increase energy efficiency for wireless systems. Here, we develop transmission scheduling schemes for multi-terminal cooperative energy harvesting networks that maximize the packet delivery ratio, i.e., the probability that an event is reported successfully. We see that the proposed scheme provides virtually the same performance as the state-of-the-art threshold-based scheme, but does not require auxiliary parameter optimization. The proposed scheme also permits extensions to multiple cooperating nodes and sources, and it can be modified to accommodate fairness constraints.

An Adaptive Steganography of Optical Image using Bit-Planes and Multi-channel Characteristics

  • Kang, Jin-Suk;Jeong, Taik-Yeong T.
    • Journal of the Optical Society of Korea
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    • v.12 no.3
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    • pp.136-146
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    • 2008
  • We proposed an adaptive steganography of an optical image using bit-planes and multichannel characteristics. The experiment's purpose was to compare the most popular methods used in optical steganography and to examine their advantages and disadvantages. In this paper we describe two digital methods: the first uses less significant bits(LSB) to encode hidden data, and in the other all blocks of $n{\times}n$ pixels are coded by using DCT(Digital Cosine Transformation), and two optical methods: double phase encoding and digital hologram watermarking with double binary phase encoding by using IFTA(Iterative Fourier Transform Algorithm) with phase quantization. Therefore, we investigated the complexity on bit plane and data, similarity insert information into bit planes. As a result, the proposed method increased the insertion capacity and improved the optical image quality as compared to fixing threshold and variable length method.