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Theoretically, e-customers gain more benefit than traditional customers as they can access products and services 24-hours a day from anywhere in the world. However, practically, e-business has not been accepted in spite of its availability and the increased number of internet users in developing countries such as in the Middle East. National cultures combined with other factors affect user acceptance...
Bio-inspired evolutionary algorithms are probabilistic search methods that simulate the natural biological evolution or the behaviour of biological entities. Such algorithms can be used to obtain near optimal solutions in optimization problems, for which traditional mathematical techniques may fail. This paper does a comparative study of results of five evolutionary algorithms: Genetic Algorithm (GA),...
Invasive weed optimization (IWO) has been found to be a simple but powerful algorithm for function optimization over continuous spaces. It has reportedly outperformed many types of evolutionary algorithms and other search heuristics when tested over both benchmark and real-world problems. However the performance of most search heuristics deteriorates severely when applied to the task of optimization...
In image denoising techniques, the state-of-the-art Discrete Cosine Transform (DCT) domain filters manifest good performance of reducing additive Gaussian white noise (AGWN). Two DCT domain filters, i.e., the block-matching three-dimensional (BM3D) DCT filter and the shape-adaptive (SA) DCT filter, have been investigated. However, these DCT domain filters introduce the temporal fluctuation artifact...
Statistics indicates that 90% of errors are caused by the system not by employees. In any normal working day we are suffering from the lack of clarity regarding the work we have to do; in addition to the responsibility we have to take when an error is done or the credits we deserve to earn when a good work is accomplished. This research paper offers a solution for the challenge faced by many managers,...
Advancements in nano-scale Integrated Circuits manufacturing technology has resulted in variability of performance metrics. The performance parameters such as Power and Delay are no longer represented deterministically. As a result, circuit designers and manufacturers need to make use of statistical analysis to estimate performance of Integrated Circuits. In this paper we present a new methodology...
Active shape models (ASMs) are statistical, deformable models, exhibiting a remarkable performance for the segmentation of the lung fields in plain chest radiographs. In this paper we propose a novel approach to improving the robustness of the original ASM against weak lung field boundaries, which can cause leaking of the shape's contour into the lung fields. The ASM is shielded against leaking by...
Object detection in aviation video is very important in many occasions. Through research on characteristic of aviation video image, and analyzing of motion estimation theory, an object detection technique based on motion vector compensation and statistical analysis is proposed. Through effective image preprocessing, noise that influenced the capacity of algorithm is removed through a Bayesian estimation...
The technique of variable block-size motion estimation is employed in the H.264 international video coding standard to obtain better compression performance. However, this technique brings about a lot of increase in the computational complexity and thus is very time-consuming. For this reason, a new fast motion estimation mode decision algorithm is proposed in this paper to reduce the computational...
In this paper, it takes advantage of evidence theory to fuse the data with multi-sensors and multi-measuring periods. It discusses three kinds of fusion structures: concentrated fusion, distributed fusion without feedback and distributed fusion with feedback. In the application of vehicle type distinguishing, through theoretical analysis and simulation results, the paper gets the conclusion that when...
The objective of this study was to evaluate the usefulness of AM-FM features extracted from surface electromyographic (SEMG) signals for the assessment of neuromuscular disorders at different force levels. SEMG signals were recorded from a total of 40 subjects, 20 normal and 20 patients, at 10%, 30%, 50%, 70% and 100% of maximum voluntary contraction (MVC), from the biceps brachii muscle. From the...
Hilbert-Huang transform (HHT) is composed of the empirical mode decomposition (EMD) as the first step of the procedure and Hilbert spectral analysis (HSA) as the second step. It is a recent tool in the analysis of signals originating from nonlinear processes as well as nonstationary signals. Empirical mode decomposition produces a set of intrinsic mode functions and the core idea is based on the assumption...
An increasing number of studies have profiled gene expressions in tumor specimens using distinct microarray platforms and analysis techniques. With the accumulating amount of microarray data, one of the most challenging tasks is to develop robust statistical models to integrate their findings. We compare some recent methodologies on the field, with respect to ER status, and focus on a unified among...
Cluster analysis offers a suite of powerful unsupervised methods, commonly used as exploratory data analysis tools. Such tools can be proven especially useful when we face the situation of analyzing large data sets and want to get an intuitive insight at subtle correlations between instances of the data. In this work, we demonstrate that simple hierarchical clustering approaches (based on compositional...
Strong evidence shows that characteristic patterns of breast tissues as seen on mammography, referred to as mammographic parenchymal patterns, provide crucial information about breast cancer risk. Quantitative evaluation of the characteristic mixture of breast tissues can be used as for mammographic risk assessment as well as for quantification of change of the relative proportion of different breast...
In this study texture differentiation associated to bone regeneration properties, around loaded oral implants immersed to Platelets Rich Plasma (PRP), was investigated in panoramic radiographs. The bone-to-implant contact region was analyzed in a follow up clinical sample of 30 digitized panoramic radiographs, 15 corresponding to implant loading (Class I) and 15 after an 8 month period (Class II)...
A GALS Networks-on-Chip (NoC) router with QoS support is presented. It supports multi-levels of QoS including hard guarantees (Hard GT)and statistical guarantees (Soft GT). In hard GT, novel Rate-control schedule is adopted to decouple the relationship between bandwidth and delay. And then, different from other routers whose bandwidth left was absorbed by only BE packets, we also support soft GT to...
Steganography it is an art of secret transmission by embedding data into multimedia and steganalysis is an attacking technology on steganography, which can be used to judge the existence of secret data, decode and even destroy it. An effective steganalysis method should measure the characteristics of embedded messages and digital image and give decision about steganography. Most recent steganalysis...
Recursive moment computation for RCL interconnect trees is reformulated in a novel symbolic representation. A hybrid data structure consisting of a capacitor tree and a multi-root binary decision diagram, both isomorphic to the circuit topology, is constructed for this symbolic representation. Moments up to any order can be computed more efficiently by this representation. Derivatives of high-order...
Fetal heart rate (fHR) is used to evaluate the fetal well-being during the delivery. It provides information of fetal status and allows doctors to detect ongoing hypoxia. The routine intrapartal evaluation is based on description of macroscopic morphological features of the fHR baseline. FHR contains more information than is used so far, therefore in this work we have focused on evaluation of nonlinear...
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