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The article describes the method of determining the boundary concentrations of dissolved gases in oil, providing at least possible economic damage in the event of erroneous decisions. A comparative analysis of the average risk of the values, which are accompanied by the use of the boundary values of gas concentration, regulated well-known international and national standards.
The main goal of the paper is to present an analysis of the possibility of using faster-than-nyquist signal processing method to improve performance of navigation system. First the faster-than-nyquist concept is introduced and its pros and cons are described. After that the correlation signal processing in radio-nav systems is explained and one typical examle is presented. Demonstrated is the TDOA...
The shape and color of visual identity are the most important factors in the visualization of trademarks, which exert a far-reaching influence on the establishment of corporate image and brand image. Under the impact of globalization, brands have become a major factor in keeping a foothold in the consumer market, and sales are no longer limited to certain regions. Today's ideological trend of design...
As chip makers move to advanced nodes and device geometries shrink, design and production costs have risen rapidly. As a result, it has become increasingly critical to reduce costs in established technology nodes by increasing device yield. For a given process, differences in individual process chambers can lead to process variations that may have a large impact on both overlay control and yield management...
In this paper, we propose a digital restoration algorithm dealing with a one of the most common defect in archived video so-called blotches. TWo main modules compose the algorithm: blotches detection and removal. For the first module, we propose efficient blotches detection algorithm based on spatio-temporal information. This is done by using a temporal median filter applied on the adjacent frames...
Image registration which is frequently required in Medical, Computer vision and remote sensing field is used to align two images geometrically. This paper presents efficient method for providing speedup and more accuracy in compared to current state of the art existing methods. This paper focuses on Feature detection using Harris detector which gives best result based on performance and has firm invariance...
Optimal representations of the genetic structure underlying complex neuroimaging phenotypes lie at the heart of our quest to discover the genetic code of the brain. Here, we suggest a strategy for achieving such a representation by decomposing the genetic covariance matrix of complex phenotypes into maximally heritable and genetically independent components. We show that such a representation can...
In this paper a hierarchical brain segmentation from multiple MRIs is presented for a global-to-local shape analysis. The idea is to group voxels into clusters with high within-cluster and low between-cluster shape relations. Doing so, complementing voxels are analysed together, optimally wheeling the power of multivariate analysis. Therefore, we adapted hierarchical spectral clustering to volumetric...
Lifetime distribution characteristics of FEOL/MOL/ BEOL time-dependent breakdown (TDDB) with defect clustering conditions were investigated by using a recently proposed two-step probability plot. This method was proposed to estimate parameters of the lifetime distribution function that is based on the defect clustering concept, and has two shape parameters. In the first step, the clustering parameter...
Quantitative analysis of vesicle-plasma membrane fusion events in the fluorescence microscopy, has been proven to be important in the vesicle exocytosis study. In this paper, we present a framework to automatically detect fusion events. First, an iterative searching algorithm is developed to extract image patch sequences containing potential events. Then, we propose an event image to integrate the...
An Android-based eModule app has been designed and developed for science, technology, engineering, and mathematics (STEM) education. The eModule consists of: (1) an Android demonstration of echolocation; (2) a set of notes describing the functionality of the app, the basics of echolocation, and its application to advanced signal processing systems such as RADAR, LIDAR, and SONAR; (3) quizzes to test...
In this paper we address the problem of learning shared sparse representation across several tasks. Assuming that the tasks share a common set of relevant features across all tasks is highly restrictive. This acts as a motivation to look for a generalized model which will be able to learn any correlation structure present between the tasks. We propose a generalized scale mixture distribution, the...
The clustering algorithm by fast search and find of density peaks is shown to be a promising clustering approach. However, this algorithm involves manual selection of cluster centers, which is not convenient in practical applications. In this paper we discuss the correlation between density peaks and cluster centers. As a result, we present a new local density estimation method to highlight the uniqueness...
We extend earlier work by Essick et al. [1,2] with a study of similarities among sky localization maps corresponding to gravitational-wave transients. Earlier in 2016, the Advanced Laser Interferometer Gravitational-wave Observatory (LIGO) announced the first direct observation of gravitational waves from binary black holes [3,4]. Motivated by the fact that multiple detection and localization algorithms...
This study aims to digitalize the Poppelreuter's overlapping figures test. The Poppelreuter's test used in psychology and neurology to assess visual perceptual function. Its recent modification performed with pencil and paper. Replacing the pencil and paper by the tablet computer equipped with the stylus, allows recording and analyzing fine motor motions observed during the test. On the one hand,...
Structural similarity index (SSIM) considers the loss of structural information as a degradation of quality. Structure of original and distorted images are compared by using low order moments, which are mean, variance and correlation. In this paper, we extend the SSIM by incorporating shape parameters of distributions, which are the higher order moments based skewness and kurtosis. We show that skewness...
We study the design of moderate-length discrete-time pulse-shaping filters used in data communications, focusing on the tradeoff between ISI, out-of-band power, and filter length. Oversampling ratio M=2 and 4 is studied for both symmetric and asymmetric impulse responses. Numerical minimization of out-of-band power, subject to constraints on ISI, is our primary tool.
In this paper, an improved pitch contour formulation is introduced by modifying the existing pitch contour sinusoidal function. The aim is to convert neutral speech into storytelling speech in Malay Language. Our speech datasets (neutral and storytelling speech) were recorded by a male and a female professional speaker. They contain 116 speech sentences, 1,164 words, and 2,732 syllables. For storytelling...
With the increasing availability of multi-view nonnegative data in practical applications, multi-view learning based on nonnegative matrix factorization (NMF) has attracted more and more attentions. However, previous works are either difficult to generate meaningful clustering results in terms of views with heterogeneous quality, or sensitive to noise. To address these problems, we propose a co-regularized...
Existing Ml-reference image quality assessment models first compute a full image quality-predictive feature map followed by a spatial pooling scheme, thereby producing a single quality score. Here we study spatial sampling strategies that can be used to more efficiently compute reliable picture quality scores. We develop a random sampling scheme on single scale full-reference image quality assessment...
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