This paper is devoted to the problem of sample path large deviations for the Markov processes on R+
Nhaving a constant but different transition mechanism on each boundary set {x: xi=0 for i ∉ Λ, ...$x_{i}>0$ for i ∈ Λ}. The global sample path large deviation principle and an integral representation of the rate function are derived from local large deviation estimates. Our results complete the proof of Dupuis and Ellis of the sample path large deviation principle for Markov processes describing a general class of queueing networks.
This article induces the key points and test principles of the developed the digital carpet electrostatic tester, which is used to measure the electrostatic charge amount generated by the friction ...between the shoes and the carpet when people walking on the carpet. The design of the hand-held electrode is based on the principle of capacitor divider. The paper proposed a static calibration based on the piecewise linear interpolation method. The specific points are dynamic calibrated with a point to point method. After being calibrated, the measuring accuracy of the instrument is effectively improved. Then the signals collected by the instrument is processed with mean filter, which can effectively solve the singular signals caused by the inconsistent of the sampling frequency and the people walking frequency. Experiments of two different kinds of carpet samples are conducted in the same condition to evaluate the electrostatic property. The result proves that the digital carpet electrostatic tester provide a comprehensive evaluation method of the carpet electrostatic property.
Recently, visual object tracking has encountered many challenges. The response maps of multiple templates are linearly combined with a fixed weight. Meanwhile, the model updating strategy is realized ...by linear interpolation of continuous frames. It is easy to introduce too much background information and cause model pollution. Herein, we propose a novel tracking approach. The four features including fHOG, local binary pattern (LBP), color, and gray features are integrated into the tracker, which can make the model have strong expression ability. The fusion weight has been adaptively assigned according to the response peak value and smooth constraint of confidence maps (SCCM) indicator. The experimental results show that the overlap precision score (OPS) and distance precision score (DPS) are improved compared with some existing tracking algorithms. The average running frame rate can meet real-time requirements.
The article discusses the investigation of the digital signal processing methods efficiency in ultrasonic flowmeters. Using digital signal processing allows to increase the accuracy in the ...propagation times difference measuring of ultrasonic signals-the main informative parameter of an ultrasonic flowmeter and to reduce the measurement error. Analytic expressions are obtained that allow one to evaluate the effect of the probing signals parameters and the digital signal processing correlation methods parameters on the effectiveness of their application in ultrasonic flowmeter. The studies were carried out as part of the preparation of methodological materials for developed laboratory work on the course "Fluid and gas flow measurement".
This study attempts to propose an adaptive growing quantization approach for one-dimensional cerebellar model articulation controller (1D CMAC) network. Even though the target function is unknown in ...advance, the learning error can be still acquired and then is utilized to determine whether the input space needs to be repartitioned or not. Once the input space is determined to be repartitioned, some new knots are inserted for further quantization, and then the number of the states is increased. Therefore, the proposed approach not only possesses the adaptive quantization ability in the input space, but also has the growing feature in the number of the states. Beside, the linear interpolation scheme is applied to calculate the CMAC output for simultaneously improving the generalization ability and reducing the memory requirement. Simulation results show that the proposed approach not only has the adaptive quantization ability, but also can achieve a better learning accuracy and a faster convergence speed.
In this paper, we present a method for performing symbol synchronization in OFDM systems. This method uses two stages for symbol synchronization. In the first stage, we use guard interval based ...correlation for symbol synchronization. In the second stage, we use pilot subcarriers and linear interpolation method for channel estimation to improve the estimation accuracy of the transmitted data. Computer simulations show that this method works properly over both AWGN and multipath fading channels and reduces symbol error rate (SER) of OFDM systems.
Retina Random Number Generator for Security Applications Taha, Murooj Aamer; Hasan, Taha Mohammed; Sahib, Naji Mutar
2019 2nd International Conference on Engineering Technology and its Applications (IICETA),
2019-Aug.
Conference Proceeding
Biometric is the measurement of behavioral and physiological characteristics for the human, generally used either for identification or verification, but it is also can be used as a key for different ...security applications. Among different biometric characteristics such as ears, voice, fingerprint, face, retina, iris, palm print, hand geometry, etc., the retina biometric can provide a higher level of security because of its inherent robustness. The main aim of this paper is to design and build a pseudorandom number generator based on the retina for security applications. The proposed system is based on the use of hybrid technology that consists of the characteristics of human retina and logistic functions to generate keys with high-quality specifications in terms of unpredictability, randomization, and non-re-generation. The NIST Package and correlation statistical tests prove that the generated keys are random, unpredictable, uncorrelated, and robust against different kinds of attack. The retina image keys are capable of passing most of the NIST statistical tests with high success rates.
The present modernization of street lighting based on LED technology, with higher energy savings, brings the possibility to oversize the lighting systems. The goal of EN 13201 standard becomes more ...important, in order to reduce this tendency and, consequently, minimize light pollution. The paper starts from issues of reasonable complexity, such as interpolation and comments related to this operation (EN 13201-3) and continues with observations related to quadratic interpolation, with slightly greater complexity. Underlining the incomplete methodology specified by EN 13201, the paper proposes a more pragmatic approach, based on polynomial interpolation in MATLAB. Following these predominantly theoretical approaches, practical issues related to luminance (EN 13201-4) imaging measurements are revealed. Because the target field is very narrow, additional error sources generated by zoom lens and vignetting are investigated. The geometric implications of imaging luminance evaluation are indicated. The values obtained by the imaging method using a digital camera are compared with the computational parameters as provided by specialized computing programs (DIALux). Today this comparison could be done only for some values and not for the whole field of luminance. The method is clearly superior to the luminance measurement using spot-meters, but at the same time meets the specifications of EN 13201.
Images are 2D surfaces. People usually scale images using interpolations, which produce 2D polynomial surfaces. Therefore, in this paper we propose an image retrieval scheme that uses the ...coefficients of the polynomials as local features. To obtain the coefficients, we apply the iterative linear interpolation (ILI) which produces degree-2 polynomial surfaces. The coefficients are normalized according to the center pixel of the 4x4 sliding window and histogram of the normalized coefficients become the image features for the image retrieval. Experimental results show that for some classes of images, the proposed retrieval outperforms the local binary pattern (LBP), the local ternary pattern (LTP) and the local tetra pattern (LTrP) schemes while it inherits ILI's low computational complexity nature.
This paper presents a real-time full-programmable fuzzy compiler based on piecewise linear interpolation techniques designed to be executed in single instruction multiple data (SIMD) architectures. A ...full-programmable fuzzy processor is defined as a system where the set of rules, the membership functions, the t-norm, the t-conorm, the aggregation operator, the propagation operator, and the defuzzyfication algorithm can be defined by any valid algorithm. The SIMD platforms selected are the Intel Pentium III (using the SSE set of instructions) and the Texas Instruments TI DSP C6x family. The final speed obtained in both implementations is highly satisfactory and better than the speed provided by standard specific hardware.
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