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Deafblind and hearing impaired persons cannot perceive their own voice pitch, and thus have difficulty controlling it. While singing, the voice pitch needs to be controlled to maintain a stable tone. To address this problem, a tactile voice pitch control system was developed to assist such people in singing. In a previous study, two deafblind subjects used the proposed system to control their voice...
This paper presents a new license plate detection method based on the Canny edge detection and Sauvola binarization combine with Connected Components Analysis (CCA) and edge dilation. The proposed method was tested with 944 images in many different weather conditions and many different sizes of plates with only one configuration for all. We also build a ground-truth for each images and base on this...
In order to improve the deficiency generated from uneven distribution of anchors in the distributed semidefinite programming (SDP) method, improved distributed method is proposed for solving Euclidean metric localization problems that arise from large-scale wireless sensor networks (WSN). By introducing the change of factorization, nonlinear programming (NLP) model is presented on each subarea, and...
Microarray is one of the most promising tools available for researchers in the life sciences to study gene expression profiles. Through microarray analysis, gene expression levels can be obtained, and the biological information of a disease can be identified. The gene expression information embedded in the microarray is extracted using image-processing techniques. Gridding is one of the important...
A stochastic approximation with averaging is applied to a consensus algorithm for multi-agent systems and the convergence of the algorithm is analyzed. The consensus is considered with respect to the time average of the states of agents. For the fixed network structure and time-varying structure, the relation between the number of iterations of the algorithm and consensus accuracy is explicitly clarified...
Strap-down inertial navigation systems are widely applicable in both military and civil industries. The outputs of gyroscope and accelerometer are polluted by noises. Different form the conventional technologies, the weighting filter presented in this work is superior to both the complementary filter and Kalman filter. Furthermore, to eliminate the negative effects brought by the variation of noise...
To minimize slice excitation leakage to adjacent slices, interleaved slice acquisition is nowadays performed regularly in fMRI scanners. In interleaved slice acquisition, the number of slices skipped between two consecutive slice acquisitions is often referred to as the ‘interleave parameter’ the loss of this parameter can be catastrophic for the analysis of fMRI data. In this article we present a...
A new shadowed c-means clustering based image segmentation method is proposed in this paper. By including the local spatial information in shadowed c-means algorithm and mapping the original data into a high dimensional space via kernel method, we propose the Kernel Spatial Shadowed C-Means (KSSCM) clustering algorithm for image segmentation problems. The KSSCM based approach shows better performance...
Instance-based learning algorithms are often required to choose which instances to store for use during classification. Keeping too many instances usually results in more storage and processing time requirements during classification. Many attempts have been made to reduce the size of the training set. The major drawback of majority of these attempts is their expensive learning process that limits...
In this paper, a novel complex mask for the implementation of fractional differentiation is deduced. By the combination of fractional differentiation and integration, a new compound derivative is proposed, in which the fractional-order derivative mask is employed. The compound derivative, together with the complex mask, is applied to edge detection, forming a new edge detection operator. The performances...
In this paper, we propose an indoor visible light positioning system which is based on time difference of arrival (TDOA). Compared to current TDOA which uses square wave for pilot signal, our system uses sinusoidal wave for pilot signal. Our proposed system is simulated in the room measuring 5×5×3m3. In the simulations, we consider the effects shot noise, thermal noise and noise from reflected light...
Local Binary Pattern (LBP) has been well recognised and widely used in various texture analysis applications of computer vision and image processing. It integrates properties of texture structural and statistical texture analysis. LBP is invariant to monotonic gray-scale variations and has also extensions to rotation invariant texture analysis. In recent years, various improvements have been achieved...
Precise estimation of frequency and phasor has become important in electrical power grids. Knowledge of phasor enables localization of faults, calculation of active and reactive power flows, determination of electrical parameters of system components (lines, transformers), etc. In this paper we present a new method for frequency and phasor assessment. Frequency assessment is done by applying statistical...
Significant documents or old scarce books have been saved in digital forms by scanning. However, some noises may occur in a scanned image such as marginal noises. The marginal noises usually appear as dark regions around the margin of the scanned documents. In this paper, we propose a method for removing marginal noise by analyzing image histogram or projection profile of the document image. The method...
There are a lot of methods for identification of the Strejc model parameters. The well known graphical method based on the step response can lead to a large error when the step response is disturbed by a random noise. The integral methods of identification, proposed in the paper, allows a reduction of the influence of the disturbances. The special attention was paid to the analysis of the impact of...
Adding a dither signal to a signal to be measured is a known technique for improving the accuracy of a quantizer output. In this paper a measurement called effective bits is used to compare un-dithered signals, stochastically dithered signals, and deterministically dithered signals. A deterministic dither signal is found that adds one effective bit using only two dither points. With this dither signal,...
The aim of this research is to develop character recognition techniques for a Mongolian script which can be used in the digitization process of contents written in traditional Mongolian script. In this paper, we introduce a word search system developed for Mongolian-specific documents, as an initial result of the research goal. To have quick and robust searching result, we develop a center-line-matching...
A three year Knowledge Transfer Partnership between @UK plc, University of Reading and Goldsmiths College, London produced an e-procurement system called SpendInsight which the National Audit Office reports could save the NHS Σ500 million per annum. An extension to the system, GreenInsight, enables procurers to assess the environmental impact of their purchases and hence make savings there. Key to...
This paper extends the application of Genetic Programming into a new area, automatically splitting video frames based on the content. A GP methodology is presented to show how to evolve a program which can analyse the difference between scenes and split them accordingly. The evolved video splitting programs achieve reasonable performance even when the videos are not easily recognizable by eyes due...
The fitting of a collection of noisy data points to a circle is a nonlinear and challenging problem, and it plays an important role in many signal processing applications. This paper proposes a semi-definite programming solution for the circle fitting problem based on the semi-definite relaxation technique. The relaxation of the maximum likelihood estimation converts a nonconvex problem to an approximate...
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