• Title/Summary/Keyword: jump detection

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Detection of Change-Points by Local Linear Regression Fit;

  • Kim, Jong Tae;Choi, Hyemi;Huh, Jib
    • Communications for Statistical Applications and Methods
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    • v.10 no.1
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    • pp.31-38
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    • 2003
  • A simple method is proposed to detect the number of change points and test the location and size of multiple change points with jump discontinuities in an otherwise smooth regression model. The proposed estimators are based on a local linear regression fit by the comparison of left and right one-side kernel smoother. Our proposed methodology is explained and applied to real data and simulated data.

Detection of Rotations in Jump Rope using Complementary Filter (상보필터를 이용한 줄넘기 회전운동 검출)

  • Yoo, Byeong-Hyeon;Heo, Gyeongyong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.1
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    • pp.8-16
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    • 2017
  • There are various methods to count the number of repetitive motions such as jump rope. Most of the methods use features extracted from the time-varying waves of acceleration or angular velocity, which is the main feature in the count of rotations in jump rope. However, there exist several variables and it is not easy to find the count with a single sensor. For example, accelerometer is susceptible to noise and vibration, and the angular velocity may cause a drift phenomenon, which is the main cause of the inaccurate count of jump rope rotation. In this paper, complementary filter is used to consider two sensors simultaneously and complement each other, which results in more accurate count in jump rope rotation. The proposed method can count the exact number of jump rope rotation compared to other existing methods only using one sensor value, which is confirmed through experimental results.

Detection Mechanism against Code Re-use Attack in Stack region (스택 영역에서의 코드 재사용 공격 탐지 메커니즘)

  • Kim, Ju-Hyuk;Oh, Soo-Hyun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.5
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    • pp.3121-3131
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    • 2014
  • Vulnerabilities related to memory have been known as major threats to the security of a computer system. Actually, the number of attacks using memory vulnerability has been increased. Accordingly, various memory protection mechanisms have been studied and implemented on operating system while new attack techniques bypassing the protection systems have been developed. Especially, buffer overflow attacks have been developed as Return-Oriented Programing(ROP) and Jump-Oriented Programming(JOP) called Code Re-used attack to bypass the memory protection mechanism. Thus, in this paper, I analyzed code re-use attack techniques emerged recently among attacks related to memory, as well as analyzed various detection mechanisms proposed previously. Based on the results of the analyses, a mechanism that could detect various code re-use attacks on a binary level was proposed. In addition, it was verified through experiments that the proposed mechanism could detect code re-use attacks effectively.

APPLICATIONS OF ASYMMETRIC HYSTERESIS LOOPS IN AMORPHOUS ALLOYS

  • Jr., C.D. Graham;Shin, K-H.;Zhou, Peter Y.
    • Journal of the Korean Magnetics Society
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    • v.5 no.5
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    • pp.579-582
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    • 1995
  • The use of amorphous magnetic alloys as tags or targets in electronic article surveillance systems such as antishoplifting desvices is briefly reviewed. Improved tags became possible with the discovery in 1988 of asymmetric magnetization reversal (AMR) in certain amorphous alloys annealed in applied field approximately equal to the earth's field. These asymmetric hysteresis loops are highly unusual, if not unique, and so greatly diminish the probability of false alarms in a detection system. furthermore, the jump field Hj, which is the coercive field in negative applied fields, can be controlled over a useful range by controlling the field applied to the sample during annealing. By applying several tags to an object, each with a different jump field, it is possible to identify the object with a numeric code that can be remotely read by nonoptical means.

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Nonparametric Detection of a Discontinuity Point in the Variance Function with the Second Moment Function

  • Huh, Jib
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.3
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    • pp.591-601
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    • 2005
  • In this paper we consider detection of a discontinuity point in the variance function. When the mean function is discontinuous at a point, the variance function is usually discontinuous at the point. In this case, we had better estimate the location of the discontinuity point with the mean function rather than the variance function. On the other hand, the variance function only has a discontinuity point. The target function in order to estimate the location can be used the second moment function since the variance function and the second moment function have the same location and jump size of the discontinuity point. We propose a nonparametric detection method of the discontinuity point with the second moment function. We give the asymptotic results of these estimators. Computer simulation demonstrates the improved performance of the method over the existing ones.

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Nonparametric detection algorithm of discontinuity points in the variance function

  • Huh, Jib
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.3
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    • pp.669-678
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    • 2007
  • An algorithm to detect the number of discontinuity points of the variance function in regression model is proposed. The proposed algorithm is based on the left and right one-sided kernel estimators of the second moment function and test statistics of the existence of a discontinuity point coming from the asymptotic distribution of the estimated jump size. The finite sample performance is illustrated by simulated example.

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The Heightfield Based Cartoon Liquid Simulation Using GPU (GPU를 이용한 높이맵 기반 카툰 액체 시뮬레이션)

  • Song, gi-won;Ryoo, seung-tack
    • Proceedings of the Korea Contents Association Conference
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    • 2009.05a
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    • pp.152-156
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    • 2009
  • The goal of this study is to represent heightfield-map based cartoon liquid simulation using GPU. To do this, we examine the optical and flow features of liquid. So far, NPR represent study for gas and liquid advanced in computer graphics. In this study the flow of fluid represent using a trivial algorithm using a non-physical method, and optical of liquid represent ratio of value of reflection and refraction using fresnel equation. Cartoon represent of liquid different from the existing method, that the value of reflection and refraction on the environment map. Edge detection represent jump edge of liquid. As a result, the liquid simulation could represent a cartoon.

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Online damage detection using pair cointegration method of time-varying displacement

  • Zhou, Cui;Li, Hong-Nan;Li, Dong-Sheng;Lin, You-Xin;Yi, Ting-Hua
    • Smart Structures and Systems
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    • v.12 no.3_4
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    • pp.309-325
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    • 2013
  • Environmental and operational variables are inevitable concerns by researchers and engineers when implementing the damage detection algorithm in practical projects, because the change of structural behavior could be masked by the conditions in a large extent. Thus, reliable damage detection methods should have a virtue of immunity from environmental and operational variables. In this paper, the pair cointegration method was presented as a novel way to remove the effect of environmental variables. At the beginning, the concept and procedure of this approach were introduced, and then the theoretical formulation and numerical simulations were put forward to illustrate the feasibility. The jump exceeding the control limit in the residual indicates the occurrence of damage, while the direction and magnitude imply the most potential damage location. In addition, the simulation results show that the proposed method has strong ability to resist the noise.

Multiple change-point estimation in spectral representation

  • Kim, Jaehee
    • Communications for Statistical Applications and Methods
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    • v.29 no.1
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    • pp.127-150
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    • 2022
  • We discuss multiple change-point estimation as edge detection in piecewise smooth functions with finitely many jump discontinuities. In this paper we propose change-point estimators using concentration kernels with Fourier coefficients. The change-points can be located via the signal based on Fourier transformation system. This method yields location and amplitude of the change-points with refinement via concentration kernels. We prove that, in an appropriate asymptotic framework, this method provides consistent estimators of change-points with an almost optimal rate. In a simulation study the proposed change-point estimators are compared and discussed. Applications of the proposed methods are provided with Nile flow data and daily won-dollar exchange rate data.

Detection of Influenza A Virus by Interdigitated Nanogap Devices

  • Park, Jimin;Park, Dae Keun;Lee, Cho Yeon;Kang, Aeyeon;Yun, Wan Soo
    • Proceedings of the Korean Vacuum Society Conference
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    • 2014.02a
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    • pp.419-419
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    • 2014
  • Interdigitated nanogap device (IND) is an attractive tool for biomolecular detection due to its huge on-off signal ratio, great tolerance to the variation in biochemical environment, and relatively simple implementation processes. Here, we report on the IND-based detection of Influneza A virus by sandwich immunoassay. The INEs were fabricated by photo lithography followed by the in-house chemical lithographic technique for the narrowing the initial gap distance. The surface of the silicon oxide between the two gold electrodes was chemically modified to immobilize primary antibodies for the immuno-specific interaction with the influenza A virus antigen. After immersing the functionalized-IND into the sample solution containing the influenza A virus, the device was exposed to the secondary antibody conjugated Au nanoparticles (Au NPs). The INDs showed a huge jump in the electric conductance when the sample solution contained the influenza A virus of the concentration as low as 10 ng/mL. We hope that this IND-based sensing can be applied to the development of simple and reliable diagnostic means of influenza viruses.

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