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The paper is about the problem of reducing the power consumption in Video Distribution Networks (VDNs) under the condition of best performance provision in terms of Quality of Experience (QoE) measured at the end user. Related to this, it has been observed that, given an end-to-end video distribution network, it is the last networking segment ending to terminal that has the dominant role in the provision...
We focus on the detection of Low Rate Denial of Service Attacks (LR DoS) based on their spectral properties. Fisher g-statistics test for one time series was used to detect low frequency periodic bursts of Shrew and New Shrew attacks. The main contribution of this paper is the extension of Fisher g-statistic test to multiple time series. We developed an algorithm based on Fisher G-statistics test...
A new design approach based on a new VLSI algorithm for high speed applications of a prime length type IV discrete cosine transform that uses short length cycle convolution structures is presented. It uses a new parallel decomposition method of type IV discrete cosine transform (DCT) that leads to a high throughput VLSI implementation with a low hardware cost. The proposed algorithm is efficiently...
A fast technique for designing prototype filters for modulated filter banks is proposed. This technique is based on using the grouped B-spline windows for designing the prototype filter and also spline functions in the transition band to approximate ideal filters. The main advantage of the proposed design scheme is that it lowers the computational complexity when compared with other existing techniques...
In this paper, we analyze the numerical properties of the recently proposed joint-optimized normalized least-mean-square (JO-NLMS) algorithm. This algorithm was developed in the context of a time-variant system model, using an iterative procedure for adjusting the system model parameter. Due to these features, the JO-NLMS algorithm behaves like a variable step-size adaptive filter, leading to both...
In this paper, a new proportionate affine projection sign algorithm for block-sparse identification using a fast recursive filtering procedure and dichotomous coordinate descent iterations is proposed. It is shown that the proposed algorithm is a good candidate for network echo cancellation systems operating under impulsive environments.
We study the performance of a denoising method based on the texture roughness appreciation realized using a semi-local estimation of the scaling exponent. This was previously tested on single look complex images, in terms of the equivalent number of looks (ENL), for quite large homogeneous areas. We establish here the ENL values are better estimated for smaller areas. We show the smoothness parameter...
Analysis of subjectivity is the actively developed direction of research in text mining. The paper presents machine learning experiments on classification of sentiments in forum texts. We explore the difficult task of classification when texts are labeled by several sentiment labels and in this condition we reach the average F-measure equal to 0.805.
The paper belongs to a larger study dedicated to the statistical modeling of the printed Romanian language. The experimental analysis focused on a corpus of literary works -novels and short stories (49 books) - comprising approx. 6.3 million words, in printed form with orthographical characters and punctuation marks (that is 47 alphabet symbols). All the investigation here refers to natural language...
Vie present the basic principles of an automated system for attitude detection in short messages and other texts. The core of the system is a 'semantic parser' that has three main components: the detector of attitude-pointing words, the syntax parsing for determining to whom the attitude-loaded words relate, and the determination of the relationship between the message writer, the message addressee,...
Studies have shown that newborns are crying differently depending on their need: hunger, tiredness, discomfort, eructation, pain, and so on. Skilled persons such as pediatricians can distinguish between different types of newborn cries and consequently estimate the baby's need by using the sounds and the gestures produced by the baby. However, this is a real problem for the unskilled parents who would...
Airborne ultrasonic images are difficult to obtain, because of the high absorption and attenuation by air. The airborne ultrasonic images are generated by a biomimetic sonar head. For each ultrasonic frequency, a pair of two images is generated, from the left and right sides. A single image has poor information content when ordinary ultrasonic transducers are used. The objective of the paper is to...
This paper presents a model of Pulse-Coupled Neural Network (PCNN) for multispectral image segmentation. Its application for license plate recognition (LPR) is considered; this consists of three processing steps. First step extracts the license plate coordinates from the original image; second step is the PCNN-based segmentation method to obtain a binary image containing only the characters of the...
This papers presents the use of color imaging as a starting point of burn wound evaluation, by the discrimination between healthy skin and burn wound. The skin/burn area identification is performed pixel-wise, according to the properties of an entire encompassing patch. The classification is learned under a supervised scenario, according to a ground truth defined by specialist surgeons from a large...
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