• Title/Summary/Keyword: random vector

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Multi-operation-based Constrained Random Verification for On-Chip Memory

  • Son, Hyeonuk;Jang, Jaewon;Kim, Heetae;Kang, Sungho
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.15 no.3
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    • pp.423-426
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    • 2015
  • Current verification methods for on-chip memory have been implemented using coverpoints that are generated based on a single operation. These coverpoints cannot consider the influence of other memory banks in a busy state. In this paper, we propose a method in which the coverpoints account for all operations executed on different memory banks. In addition, a new constrained random vector generation method is proposed to reduce the required random vectors for the multi-operation-based coverpoints. The simulation results on NAND flash memory show 100% coverage with 496,541 constrained random vectors indicating a reduction of 96.4% compared with conventional random vectors.

Direction Vector for Efficient Structural Optimization with Genetic Algorithm (효율적 구조최적화를 위한 유전자 알고리즘의 방향벡터)

  • Lee, Hong-Woo
    • Journal of Korean Association for Spatial Structures
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    • v.8 no.3
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    • pp.75-82
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    • 2008
  • In this study, the modified genetic algorithm, D-GA, is proposed. D-GA is a hybrid genetic algorithm combined a simple genetic algorithm and the local search algorithm using direction vectors. Also, two types of direction vectors, learning direction vector and random direction vector, are defined without the sensitivity analysis. The accuracy of D-GA is compared with that of simple genetic algorithm. It is demonstrated that the proposed approach can be an effective optimization technique through a minimum weight structural optimization of ten bar truss.

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Encryption Algorithm using Polyline Simplification for GIS Vector Map

  • Bang, N.V.;Lee, Suk-Hwan;Moon, Kwang-Seok;Kwon, Ki-Ryong
    • Journal of Korea Multimedia Society
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    • v.19 no.8
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    • pp.1453-1459
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    • 2016
  • Recently, vector map has developed, used in many domains, and in most cases vector map data contains confidential information which must be kept away from unauthorized users. Moreover, the manufacturing process of a vector map is complex and the maintenance of a digital map requires substantial monetary and human resources. This paper presents the selective encryption scheme based on polyline simplification methods for GIS vector map data protection to store, transmit or distribute to authorized users. Main advantages of our algorithm are random vertices and transformation processes but it still meets requirements of security by random processes, and this algorithm can be implement to many types of vector map formats.

Novel RPWM Techniques for High-Speed Three-Phase Induction Motor Drive (고속 3상 유도전동기 구동을 위한 새로운 RPWM 기법)

  • 권수범;이효상;박종진;김남준
    • The Transactions of the Korean Institute of Power Electronics
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    • v.9 no.4
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    • pp.364-371
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    • 2004
  • This thesis is proposing novel RPWM(Random PWM) techniques that can locate PWM pulse to do random. RPWM techniques to propose locates SVPWM(Space Vector PWM) pulse by number of each random and principle to locate of pulse applies different random function and locate pulse. For propriety verification of proposed techniques, achieve an simulation and experiment that use MATLAB/SIMULINK about proposed RPWM techniques algorithm and IGBT inverter composition that use DSP(TMS320C31). Specially, analyze harmonic spectra of inverter output current when the induction motor speed is more than 10,000 rpm, confirm that RPWM's effect in high speed degree appears. Proposed RPWM techniques propriety prove from reduction effect of harmonic magnitude that corresponds to an integer times of switching frequency.

ANALYSIS OF THE STRONG INSTANCE FOR THE VECTOR DECOMPOSITION PROBLEM

  • Kwon, Sae-Ran;Lee, Hyang-Sook
    • Bulletin of the Korean Mathematical Society
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    • v.46 no.2
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    • pp.245-253
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    • 2009
  • A new hard problem called the vector decomposition problem (VDP) was recently proposed by Yoshida et al., and it was asserted that the VDP is at least as hard as the computational Diffie-Hellman problem (CDHP) under certain conditions. Kwon and Lee showed that the VDP can be solved in polynomial time in the length of the input for a certain basis even if it satisfies Yoshida's conditions. Extending our previous result, we provide the general condition of the weak instance for the VDP in this paper. However, when the VDP is practically used in cryptographic protocols, a basis of the vector space ${\nu}$ is randomly chosen and publicly known assuming that the VDP with respect to the given basis is hard for a random vector. Thus we suggest the type of strong bases on which the VDP can serve as an intractable problem in cryptographic protocols, and prove that the VDP with respect to such bases is difficult for any random vector in ${\nu}$.

Reducing Harmonics of the Next-generation High-speed Railway Inverter System by Random Pulse Position Modulation Technique based on Space Vector Modulation (Random Pulse Position PWM 방식을 적용한 IPMSM 기반 차세대 고속전철 구동 인버터 시스템의 고조파 저감)

  • Lee, Sang-Hyun;Jin, Kang-Hwan;Kim, Sung-Je;Kno, Ae-Sook;Kim, Yoon-Ho
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.26 no.6
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    • pp.94-101
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    • 2012
  • In this paper, The Next Generation High Speed Railway inverter system based on IPMSM drives using Random Pulse Position Modulation is proposed to reduce electromagnetic noise. To verify the validity of study, the simulator for the proposed system is designed and impplemented. Simulation program is developed using Matlab/Simulink. The simulation results of the proposed system was compared with the system using conventional method. The results show that the voltage and current harmonics of the proposed Next Generation High Speed Railway Inverter system. significantly decrease and spread into wide band area by the proposed Random Pulse Position modulation technique based on Space Vector Modulation method.

Novel RPWM Techniques for Three-Phase Induction Motor Drive (3상 유도전동기 구동을 위한 새로운 RPWM 기법)

  • 권수범;김남준
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.53 no.4
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    • pp.262-268
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    • 2004
  • This thesis is proposing novel RPWM (Random PWM) techniques that can locate PWM pulse to do random. RPWM techniques to propose locates SVPWM (Space Vector PWM) pulse by number of each random and principle to locate of pulse applies different random function and locate pulse. For propriety verification of proposed techniques, achieve an simulation and experiment that use MATLAB/SIMULINK about proposed RPWM techniques algorithm and IGBT inverter composition that use DSP(TMS320C31). Specially, analyze harmonic spectra of inverter output current when the induction motor speed is more than 10,000 rpm, confirm that RPWM's effect in high speed degree appears. Proposed RPWM techniques propriety prove from reduction effect of harmonic magnitude that corresponds to an integer times of switching frequency.

Application and evaluation of machine-learning model for fire accelerant classification from GC-MS data of fire residue

  • Park, Chihyun;Park, Wooyong;Jeon, Sookyung;Lee, Sumin;Lee, Joon-Bae
    • Analytical Science and Technology
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    • v.34 no.5
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    • pp.231-239
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    • 2021
  • Detection of fire accelerants from fire residues is critical to determine whether the case was arson or accidental fire. However, to develop a standardized model for determining the presence or absence of fire accelerants was not easy because of high temperature which cause disappearance or combustion of components of fire accelerants. In this study, logistic regression, random forest, and support vector machine models were trained and evaluated from a total of 728 GC-MS analysis data obtained from actual fire residues. Mean classification accuracies of the three models were 63 %, 81 %, and 84 %, respectively, and in particular, mean AU-PR values of the three models were evaluated as 0.68, 0.86, and 0.86, respectively, showing fine performances of random forest and support vector machine models.

Switching Noise Reduction of Induction Motor by a Two-Phase RCD-PWM Technique with Dual Zero Vector Modes (듀얼 영 벡터 모드를 갖는 2상 RCD-PWM기법에 의한 유도 모터의 스위칭 소음저감)

  • Oh Seung-Yeol;Wi Seog-Oh;Jung Young-Gook;Lim Young-Cheol
    • The Transactions of the Korean Institute of Power Electronics
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    • v.9 no.6
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    • pp.525-535
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    • 2004
  • In this paper, a two-phase DZRCD(Dual Zero Vector Modes RCD) technique is proposed to develope the problem of a conventional two-phase RCD-PWM (Random Centered Distribution PWM) which gives the power spectra of narrow band range in the high modulation index (M). In the proposed DZRCD technique, the zero vector $V_0$ is selected as $V_0$(111) for M$\geqq$0.8. Also, $V_0$ is selected as $V_0$(000) for the modulation indices < 0.8. For the unplementation of the proposed method, a 16-bit micro-controller Cl67 was used and the experiments were conducted with the 1.5kw induction motor under no load condition. The experimental results show that the voltage / current spectra is spread to a wide band range, and the switching noise of motor is reduced by the proposed method compared to the conventional random operation.

Pseudo Complex Correlation Coefficient: with Application to Correlated Information Sources for NOMA in 5G systems

  • Chung, Kyuhyuk
    • International journal of advanced smart convergence
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    • v.9 no.4
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    • pp.42-51
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    • 2020
  • In this paper, the authors propose the pseudo complex correlation coefficient (PCCC) of the two complex random variables (RV), because the four real correlation coefficients (RCC) of the corresponding four real RVs cannot be obtained only from the complex correlation coefficient (CCC) of given two complex RV. Such observation is motivated by the general statement; "The complex jointly-Gaussian random M-vector cannot be completely described by the complex covariance matrix, even though the real Gaussian random 2M-vector can be completely descried by the real covariance matrix. Therefore, in order to describe completely the complex jointly-Gaussian random M-vector, we need an additional matrix, namely the complex pseudo-covariance matrix, along with the complex covariance matrix." Then, we apply PCCC to correlated information sources (CIS) for non-orthogonal multiple access (NOMA) in 5G system, and investigate impact of the proposed PCCC on the achievable data rate of the stronger channel user in the conventional successive interference cancellation (SIC) NOMA with CIS. It is shown that for the given same CCC, the achievable data rates with the different PCCC are different, because the corresponding RCC are different. We also show that as the absolute value of the same CCC increases, the impact of the different PCCC becomes more significant.