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It gives us immense pleasure to introduce this collection of papers that have been presented in this eleventh conference on FIT 2013. The conference was attended by researchers and scientists having experience of leading universities and industries of the world. This gave interaction opportunity to the participants that included analysts, policy makers, academia, industry professionals and also members...
Delay is one of the most important parameters of interest while providing QOS guarantees for Wireless Sensor Networks (WSN). Various MAC layer protocols for WSN have been proposed for efficient management of delay. Analyzing single hop and end to end delay using queuing analysis can provide significant help in modeling various real time WSN applications. This paper parameterizes the cross-layer analysis...
Open medium access is an inherent feature of wireless networks that makes them vulnerable to security threats and unauthorized access by foreign entities and malicious users. In cognitive radio networks, effect of these malicious users on network performance becomes more threatening, where they impersonate primary users by emitting similar signals, causing secondary users to vacate the occupied channel...
Foreground detection is one of the fundamental preprocessing steps in many image processing and computer vision applications. In spite of significant efforts, however, slowly moving foregrounds or temporarily stationary foregrounds remains challenging problem. To address these problems, this paper presents a hybrid approach, which combines background segmentation and long-term tracking with selective...
In this research paper a novel image processing technique based on fuzzy logic has been proposed to detect edges in an image. The algorithm formulated for this purpose utilizes the concept of Attanassov's intuitionistic theory of fuzzy sets, which takes into account a hesitation degree. From this parameter, a new distance measure has been derived, which is termed as the intuitionistic fuzzy divergence...
Colon cancer diagnosis based on microscopic analysis of biopsy sample is a common medical practice. However, the process is subjective, biased and leads to interobserver variability. Further, histopathologists have to analyze many biopsy samples per day. Therefore, factors such as tiredness, experience and workload of histopathologists also affect the diagnosis. These shortcomings require a supporting...
Manifold learning based image clustering models are usually employed at local level to deal with images sampled from nonlinear manifold. Usually, gray level image features are used that are obtained by resizing original images through linear interpolation approach. However, significant image variance information is lost in gray level image features. Clustering models that are based on discriminant...
In this paper, we have proposed the idea of designing a pyramidal conformal array antenna and install it on a moving vehicle. Uniform circular planar array is used and it is replicated to design pyramidal shape conformal array antenna. Single panel circular planar array at 72 degree and at 42 degree is used to build the array geometry of pyramidal shape conformal array. By using circular arrays at...
In this article, a modified Cheng dual-band power divider is proposed. In modified design, output ports of the divider have been redesigned by incorporating extended lines having electrical length (π/2)(f1/f2) where, f1 and f2 are center frequencies. The impedance of extended lines is calculated from an average value of bi-section impedance transformers used in the Cheng design. Dependent...
Demand for automatic classification of Brain MRI (Magnetic Resonance Imaging) in the field of Diagnostic Medicine is rising. Feature Selection of Brain MRI is critical and it has a great influence on the classification outcomes, however selecting optimal Brain MRI features is difficult. Particle Swarm Optimization (PSO) is an evolutionary meta-heuristic approach that has shown great potential in solving...
The conventional Genetic algorithms (GAs) use a single mutation operator for whole population, It means that all solutions in population apply same leaning strategy. This property may cause lack of intelligence for specific individual, which is difficult to deal with complex situation. Different mutation operators have been suggested in GAs, but it is difficult to select which mutation operator should...
Plant disease analysis is one of the critical tasks in the field of agriculture. Automatic identification and classification of plant diseases can be supportive to agriculture yield maximization. In this paper we compare performance of several Machine Learning techniques for identifying and classifying plant disease patterns from leaf images. A three-phase framework has been implemented for this purpose...
This paper is based on an industrial survey conducted on software engineer motivation as previous research shows that motivation is amongst the most frequently highlighted causes of software projects failure. Motivation greatly impacts practitioner's productivity. Yet motivation is mostly ignored in software engineering literature and practice. Researchers have conducted studies on motivation in software...
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