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Gender classification using facial features has attracted researchers attention recently. Gender classification using texture features of faces exhibited promising improvement over other facial features. Gender classification finds applications in systems which use gender as one of the parameters. Local Binary Patterns (LBP) are known to have good texture representation properties. Through this paper...
Tactile sensing is paramount important in motor rehabilitation; several techniques are exiting for a tactile sensing. The successful interface of tactile and haptic devices achieves aim of human machine interface system. In the process of rehabilitation sensing and perception correctly is the important aspect of subject progress towards right diagnoses. This paper discusses about all recent trends...
The requirements of software users are changing dynamically with a rapid pace which is attributed to the competitive environment and strong market position. The software industry needs to accomplish wearisome task of producing and upgrading the quality application software cost-effectively. With the advent of new technology, the up gradations and enhancements in the software have become more viable...
This paper is devoted to the optimization of image synthesis for complex shape objects in the robotic system of ultrasonic testing. The basis of this process is a preliminary analysis of the object with complex geometry to ensure reproducibility and accuracy of the tests in the specified range. It includes such stages as digital model creation, geometric surface analysis, creating of control points...
There have been tremendous improvements of the face alignment algorithms, among which the regression framework becomes the most popular one recently. The regression based works start from an initial face shape, and they learn regression models to predict the face shape updates based on the shape-indexed local appearance features. However, most of the regression methods ignore the fact that the regression...
For cable testing and partial discharge (PD) diagnostics many different test voltage wave shapes and frequencies have been established over the past years. Their application is well proven and is guided by IEC and IEEE standards/ recommendations. All off the allowed test voltage wave shapes have got their advantages and disadvantages for testing or for PD diagnosis. For testing purposes the voltage...
Quantum inspired Evolutionary Algorithms (QEA) are a type of population based meta-heuristics, which have been successful in solving difficult search and optimization problems. It provides better balance between exploration and exploitation, when compared with conventional evolutionary algorithms as it is designed by integrating principles from quantum mechanics into the framework of evolutionary...
Classifiers have known to be used in various fields of applications. However, the main problem usually found recently is about applying a classifier to large datasets. Thus, the process of reducing size of the training set becomes necessary especially to accelerate the processing time of the classifier. Concerning the problem, this paper proposes a new method which can reduce size of the training...
In this work, an approach for Arabic handwriting word segmentation is proposed. In this approach words are over-segmented and the segmentation points (SPs) are then validated. As the validation stage accuracy controls the whole system accuracy, an improved validation approach is proposed to alleviate other approaches' limitations and enhances the accuracy. In this validation approach, a set of zoning...
Reliability growth testing has been widely used for assessing the reliability of complex systems in the automotive, aerospace, and oil and gas industry. The traditional common and practiced approach of RGT is to assess the initial reliability of the system by building and testing few prototypes for a period of time that extends from few months to years. Based on the initial reliability, initial testing...
TV logo recognition plays an important role in video content understanding. So far, Real-time TV logo recognition under complex background based on single frame is still a very challenge task. By analyzing the characteristics of TV logo, a new TV logo recognition algorithm based on multiple feature fusion via hierarchical matching was proposed in this paper. The recognition process consisted of three...
A description of the testing facility ISNP with spectrum resembling that of terrestrial neutron radiation development at the PNPI is given. The results of the tests carried out by the Branch of JSC "URSC"-"ISDE" (Moscow) at ISNP are presented.
This work introduces a novel method for securing critical infrastructures. We propose an innovative hypothesis test for intrusion detection in data communications. In particular, we detect the presence or absence of a covert (i.e. hidden) timing channel. We devised a new testing procedure, namely the Weibullness test, that statistically measures how much the series under investigation (inter-arrival...
The paper discusses how a rule base covers its input space in radial fuzzy systems. We investigate the minimal degree of firing of rules in the rule base when moving across the input space. This minimal degree is called the degree of coverage (DOC) and refers to the area of the input space where the rule base has the weakest explanatory power. Identification of the DOC corresponds to a constrained...
Science learned models based on limited data are usually fragile, researchers suggest the adoption of virtual samples to improve the prediction model. In this study, nonparametric statistical tool, Kolmogorov-Smirnov test, is introduced to examine the distribution of virtual samples without any assumption about the underlying population. The examination procedure would help control the quality of...
This paper focuses on the definition of primitives and the presentation and detection of trends in the field of trend studies. An algorithm using the inertia test to detect trends is also proposed. Experiment results explain the reason why traditional primitives can fit sequential data well, while exposing their limitations at the same time.
Finding a method which allows a computer recognition to be close to human recognition is a goal of many works in the present. We have set this goal too. According to us, we need to find function for simple recognition of shapes in the images as first step of this goal. Result of this method provides input of our system of recognition. System form depends on the result of shape recognition method....
Eagle Harbor Technologies (EHT) is developing high voltage nanosecond pulsers capable of driving nonlinear transmission lines for high power microwave production and generating non-equilibrium plasmas. Other applications for high voltage nanosecond pulsers include plasma medicine, material science, enhanced combustion, drag reduction, surface and water decontamination and Electromagnetic device testing...
Action recognition is a challenging task due to intra-class motion variation caused by diverse style and duration in performed action videos. Previous works on action recognition task are more focused on hand-crafted features, treat different sources of information independently, and simply combine them before classification. In this paper we study action recognition from depth sequences captured...
New elevation models from the Czech Republic are produced using airborne laser scanning. These new elevation models achieve much higher accuracy than previous models whose accuracy is expressed in meters. Declared accuracy was subjected to verification in five selected locations. Despite some problems with accuracy, especially in areas of significant microrelief shapes, these models comply the declared...
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