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Touch perception can be decoded from brain signals as well as from tactile pressure signals obtained while holding objects using a sensor. The present work aims to classify object shapes from EEG signals and tactile pressure signals obtained from a capacitive tactile sensor while exploring objects of different shapes; thereby drawing a mutual relation or dependence between these two sources of haptic...
Process capability indices are useful tools, which provide common quantitative measures on manufacturing capability and production quality. The existing Multivariate Process Capability indices, Cpm, MCpm,[CpM, PV, LI], MCf & (sTpk} are proposed by different authors for different conditions and situations[1,2,3,4,5]. Many of the above multivariate process capability indices are based on the ratios...
We consider an extended wireless network, in which nodes arrive in the network according to a joint spatio-temporal (possibly non-homogenous) Poisson process. We assume that each node remains active for a random duration of time with a certain distribution, independent of the arrival process. During the activity period, each node transmits a signal from a Gaussian alphabet at a fixed power (variance)...
The paper mainly investigates the widely-used image features and related feature selection methods in content-based image retrieval (CBIR).The texture features and shape features that could be used in the retrieval of solar images are mainly discussed. The result of the survey indicates that although the CBIR related research work in solar image retrieval is comparatively less, the existing achievements...
With strong inference of hierarchical and repetitive structures, semantic information has been widely used in dealing with urban scenes. In this paper, we present a super-pixel-based facade parsing framework which combines the top-down shape grammar splitting with bottom-up information aggregation: machine learning forecasts prior classes, super-pixels improve compactness, and boundary estimation...
Huffman sequences with long length are generated for the application to high attenuation sonar or radar. A general expression of Huffman sequence is given by polynomial expansion of its spectrum. For long length, the fist-order approximate sequence is given by a DFT expression and the estimate absolute value of the sequence is represented by a Gaussian shape. Long Huffman sequences are constructed...
Image matching based on contour is an important issue in computer vision, navigation and pattern recognition. The image matching methods like curvature-based methods and corner-based methods have poor robustness to the contour's noise and distortion, and some matching methods are applied only to closed contours. A novel contour representation and matching algorithm, based on local curvature scale,...
A method for constructing simulated time series of wind speed, based on a statistical wind atlas and meteorological observations of wind speed, is developed. The series are constructed to have the same statistical distribution as the wind atlas and the same seasonal variation, autocorrelation and cross correlation as the observations. The method is accompanied by an algorithm written in Matlab. It...
When we perceive a colored shape, how the aesthetic evaluation is affected by the color or the shape. This study investigates the effect of color and shape on the aesthetic evaluation of colored shape. We used 16 shapes and 12 colors. 16 shapes were varied the magnitude of shape parameters that correspond to the three dimensions of curvedness, regularity, and complexity. 12 colors were selected from...
Motivated by the demand of today's Assyriologists we develop a system for automated detection and extraction of cuneiform script, which is one of the most important sources for ancient history. Traditional means of documentation are (i) photographs and (ii) manual drawings, which are increasingly replaced by shape acquisition using 3D-scanners resulting in (iii) high-resolution 3D-models. To utilize...
This paper proposes a method to recognize stroke orders of on-line handwritten Chinese characters based on analyzing both spatial and temporal information. A novel control-point-based analysis method is presented for spatial information analysis to match strokes with various shapes and styles. Its computation complexity is much lower than image correlation method and is suitable for applications on...
The main objective of Content-Based Image Retrieval (CBIR) systems is to retrieve a ranked list containing the most similar images of a collection given a query image, by taking into account their visual content. Although these systems represent a very promising approach, in many situations is very challenging to assure the quality of returned ranked lists. Supervised approaches rely on training data...
Recent studies have correlated specific typeface features (variety versus contrast versus pat tern) to specific emotional parameters (amusement versus agitation versus focus). These studies provide a systematic explanation for analyzing typeface features and emotional parameters. However, these studies have focused on Roman typefaces. Much of the research on non-Roman typefaces do not provide a systematic...
In 4-D echocardiography (4DE), displacement estimates obtained solely from multi-dimensional speckle tracking can exhibit large variances and peak hopping, making it challenging to accurately calculate myocardial strains. 3-D phase-sensitive speckle tracking can produce sensitive estimates along the axial direction, but typically provides poorer estimates in orthogonal directions and at tissue boundaries...
Detecting incident anomalies within temporal data - time series becomes useful in a variety of applications. In this paper, anomalies in time series are divided into two categories, namely amplitude anomalies and shape anomalies. A unified framework supporting the detection of both types of anomalies is introduced. A fuzzy clustering is employed to reveal the available structure within time series...
Actin fibers are vital in cell development, growth and interactions. Recent advances in micro-patterns force cells to conform to specific shapes which is a huge benefit to image analysis. In this work, cell images conforming to micro-patterns are computer generated through the minimization of four energy terms, which in turn may provide evidence of the mechanics at work in the biological cells. Two...
In this paper we introduce a new and simple method to estimate the symbol rate for single carrier systems of unknown modulation. The introduced technique detects the symbol rate from a continuous range of symbol rates, i.e. it does not assume a finite set of candidate symbol rates. The method does not require any knowledge about system parameters and is therefore totally blind. The method belongs...
The enormous growth of consumer electronic industry is driving the need for achieving ultra-high areal storage densities. Shingled magnetic recording (SMR) is a promising high density storage technique where shingles are created by overlapping tracks for increasing the track per inch (TPI) and achieving higher areal densities. High TPI values, however, introduce sidetrack interference in the equalized...
An adequate assessment of line transfer requirements for wind power generation assumes a key role in modern electrical power system operation. This issue is increasingly important in many countries, as a collateral effect of the electricity market deregulation. Moreover, an efficient wind power generation assessment needs a proper probabilistic characterization of the wind sources, also taking into...
This paper describes a new accurate interpolation method of a low-resolution depth image using a high-resolution color image for the structural analysis of 3d data. Our method adopts the strategy to detect and omit regions where it is difficult to estimate depth value accurately. In order to achieve this, Color geodesic neighborhood is used as the local smooth surface, and depth data is interpolated...
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