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The performance of Multi-resolution Morphology Gradient (MMG)-based fault location scheme in power transmission lines will deteriorate when the noise is imposed on the transient signals. In this paper, a novel mathematical morphology filter Dierion is proposed to effectively reduce the noise in the transient signals and improve the performance of the accurate fault location using MMG. This proposed...
Gene expression patterns that can distinguish to a clinically significant degree disease subclasses not only play a prominent role in diagnosis but also lead to therapeutic strategies that tailor treatment to the particular biology of each disease. Nevertheless, gene expression signatures derived through statistical feature identification procedures on population datasets have received rightful criticism,...
We present the framework for the exposure correction and back-light compensation using the bilateral logarithm total variation model based on human perception called HPEC. The method aims to emulate the way in which the human visual system discriminates original color in dim light or shadow region with rod, cone and light adaptation. The proposed method is effective for appropriate illumination and...
Textures can be broadly divided into two categories, namely, stochastic and deterministic. The stochastic textures are characterized by its statistical properties and do not have easily identifiable primitives. Even if one can extract such primitives, a placement rule description for such textures may be extremely complicated. One of the ways to describe and generate such textures is simultaneous...
In this paper, a novel method for image registration method which affords robust results for various disturbances in the real world, including local and/or global variations of illumination, occlusions, and noises, is proposed. The registration process is based on a set of selected point-pairs with binary coded signs of differences, which is constructed from the given template image. The selection...
Takagi-Sugeno models are an important class of fuzzy rule based oriented models, generally used for prediction and control. Fuzzy clustering is one of effective methods for identification. In this method, we propose to use a fuzzy clustering method (Kernel based fuzzy c-means method) for automatically constructing a multi-input fuzzy model to identify the structure of a fuzzy model. To clarify the...
We present the Hermite radial basis function (HRBF) implicits method to compute a global implicit function which interpolates scattered multivariate Hermite data (unstructured points and their corresponding normals). Differently from previous radial basis functions (RBF) approaches, HRBF implicits do not depend on offset points to ensure existence and uniqueness of its interpolant. Intrinsic properties...
We have designed and implemented a multi-linear discriminant method of constructing and quantifying statistically significant changes on human identity photographs. The method is based on a general multivariate two-stage linear framework that addresses the small sample size problem in high-dimensional spaces. Starting with a 2D face data set of well framed images, we determine a most characteristic...
Scaling of technology over the last few decades has produced an exponential growth in computing power of integrated circuits and an unprecedented number of transistors integrated into a single chip. However, scaling is facing several problems - severe short channel effects, exponential increase in leakage current, increased process parameter variations, and new reliability concerns. We believe that...
One of the crucial tasks in many inference problems is the extraction of an underlying sparse graphical model from a given number of high-dimensional measurements. In machine learning, this is frequently achieved using, as a penalty term, the Lp norm of the model parameters, with p ?? 1 for efficient dilution. Here we propose a statistical-mechanics analysis of the problem in the setting of perceptron...
Sufficient conditions required to achieve the interference-free capacity region of ergodic fading K-user interference channels (IFCs) are obtained. In particular, this capacity region is shown to be achieved when every receiver decodes all K transmitted messages such that the channel statistics and the water-filling power policies for all K (interference-free) links satisfy a set of K(K - 1) ergodic...
In this paper we consider the application of the Ising model from statistical mechanics to model interactions among interfering stations in a wireless network with a line topology. Each station employs a medium access control (MAC) protocol such that it decides to transmit or not depending on the states of its nearest neighbors and itself in the previous time slot. We use the Ising model to demonstrate...
In this paper the experimental validation along with mixed system integration of a novel, modified double scroll chaotic attractor circuit, employed as a true random binary generator (TRBG) is presented. The double scroll attractor is modeled on Chua's circuit for nonlinear operation leading to double scroll chaotic behavior. The output from the chaotic circuit which is a correlated binary sequence...
Copulas are functions that join or couple multivariate distribution functions to their one dimensional marginal distribution functions. Alternatively, copulas are multivariate distribution functions whose one-dimensional margins are uniform on the interval (0,1). The appeal of copula function lies in the fact that it eliminates the implied reliance on the multivariate normal or the assumption that...
When analyzing reliability, wires have in most cases been ignored, with gates taking the lion's share, and devices being considered only once in a while. With scaling, this ??only-computations-fail?? approach is not going to be accurate enough as wires will also start to err. Trying to do justice to communication (wires), this paper details a statistical failure analysis of wires following on the...
This paper gives an analyzing & discussing of Depth-first Search technology of both FCR and VCR in searching without information, and points out that, properties of FCR & VCR on searching without information. And then, it introduces a novel realization method of Depth-first Search in problem solving which sometimes we should think simultaneously over the synthetic technique combining intelligent...
We apply a new bootstrap statistical technique to distinguish between dasiaskillpsila and dasialuckpsila for individual funds. This methodology allows for non-normality in the idiosyncratic risk of the funds-a major issue when considering those funds which appear to be either very good or very bad performers, since these are the funds which investors are primarily interested in identifying. Our bootstrap...
Motor systems are highly important and are critical components in industrial processes. Up to 60% of the electricity produced in the U.S. converts into other forms of energy to provide power to equipment through motor [1]. Machinery reliability and performance can be improved with early fault diagnosis and condition monitoring; therefore, the fault diagnosis system for motor has been highlighted for...
According to the actual situation in the integrated statistical work of coal enterprise in our country now, we determined using the exploitation method of combining SAD and object oriented by analyzing the system's function characteristic, has established the composite structure model which C/S and B/S unify. The system has realized many essential functions such as the technical specification dynamic...
Online handwritten signature has been widely used for identity verification. However, it suffers from large intra-class variation problem as individualpsilas signature may deviate from time to time due to variations in signing position, signature size, writing surface, and other factors. In addition, signatures are easier to forge than other biometrics and this leads to random and skilled forgeries...
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