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In computer networks, switches are used for interconnecting plurality of nodes for data exchange usually employs either single back plane or cross-bar bus architecture. Single back plane bus is limited by latency whereas cross-bar bus architecture comparatively requires more silicon space. The single bus is subjected to the entire load of the switch and at the same time it cannot support concurrent...
In current and Next Generation Networks (NGN), Connection Admission Control and Scheduling are important Resource and Connection Management (RaCM) functions that are subject to a principle known as Intelligent Inter-layer Interaction (3I). That is, each is not only responsible for considering performance and system status information across different layers (like cross-layer design), but additionally...
In this paper, we address the project scheduling problem to assist project managers at the early stage of scheduling. Thus, as part of the problem, we consider a priority optimization objective for managers at that stage. This objective involves assigning the most effective set of human resources to each project activity. We consider that the effectiveness of a human resource depend on its work context...
Recent paradigm shift from the conventional contact based palmprint recognition to contactless based systems (CBS) has necessitated the development of a variety of these systems. A major challenge of these systems is it robustness to illumination variation in unconstrained environment, thus making segmentation difficult. In this paper, the acquired image undergoes color space conversion and the output...
Traditionally, speech recognition requires large computational windows. This paper proposes an approach based on 256 discrete orthonormal Tchebichef polynomials for efficient speech recognition. The method uses a simplified set of recurrence relation matrix to compute within each window. Unlike the Fast Fourier Transform (FFT), discrete orthonormal Tchebichef transform (DTT) provides simpler matrix...
Static Var compensator (SVC) is normally used in power system to improve voltage profile and reduce system power losses. In this paper, a relatively new optimization technique named as the improved harmony search algorithm (IHS) is applied to determine optimal location and size of SVC devices in a transmission network. A multi-criterion objective function comprising of both operational objectives...
In this research a new approach ffor human action recognition is proposed. At first, local spaace-time features extracted which recently becomes a popular video representation. Feature extraction is done wwith use of Harris detector algorithm and Histogram of Optiical Flow (HOF) descriptor. Then we apply a new extendedd SVM classifier called least square Twin SVM (LS-TSVM)). LS-TSVM is a binary classifier...
An Image retrieval method based on the statistical representation of the freeman chain code is proposed. Freeman chain code is used for representing the contour of an image object. We do the feature extraction by smoothing the object for noise reduction, convert to binary image by thresholding, then the boundary of the object is detected and the first difference of the chain code is computed instead...
Speech feature can be an alternative interaction model for embedded device that is designed without many buttons for control. In this work, we create colorblind aid system. This paper compares speech feature created using SAPI5.1 with speech feature created manually using phoneme concatenation and DTW, and assess their performance in WinCE6 and WES09 embedded OS environment. The testing for speech...
A novel low-cost highly discriminatory feature space is introduced for facial expression recognition, which incorporates a weight to the Local Direction Pattern (LDP), capable of robust performance over a range of image resolutions. In addition, we use Adaboost to pick a small set of high-flying features, which are used by the Support Vector Machine (SVM) to classify facial expressions proficiently...
Various methods are used to locate cloud-to ground lightning flash. The accuracy of the methods depends on the number of sensor stations, station topology, mathematical model adopted for the analyses, and the type of measuring equipment. For a single station with the configuration of short baseline in a measuring system, the accuracy of analysis is mostly based on the chosen mathematical equations...
In this paper, a novel contactless Palmprint recognition system using palm print principal line-based feature extraction technique has been proposed. The discriminative Palmprint features were extracted from a pre-processed acquired images using easily available and low cost camera. Distances from endpoints to endpoints and point of interception to endpoints were calculated and transformed to frequency...
This study examines the relation of different selected criteria for the assessment of left ventricular hypertrophy (LVH) by using analysis of variance (ANOVA) method in SPSS. For this purpose data set of four hundred and fifty two patients were included. Initial analysis was done by using Cornell voltage criteria and Cornell voltage duration criteria for LVH in association with QRS area for the same...
The automatic recognition and classification of biomedical objects can enhance work efficiency while identifying new inter-relationships among biological features, in this paper Haralick's features based GLCM are applied for classification of cancer cell of textured bio-images. The objective of this work is the selection of the most discriminating parameters for cancer cells. A new approach aiming...
Linear Discriminate Analysis is commonly used in feature reduction. Based on the analysis on the several limitations of traditional LDA, this paper makes an effort to propose a new way named Hierarchical Harmony Linear Discriminant Analysis (HH-LDA), which computes between class scatter matrixes optimally. It is reached by combining hierarchical scheme and Harmony Search (HS) algorithm. In this paper,...
We need to prepare quality data by pre-processing the raw data. Data cleaning, also called data cleansing or scrubbing, deals with detecting and removing errors and inconsistencies from data in order to improve the quality of data. Data cleaning system are needed to support any changes in the structure, representation or content of data. There are three parts in the cleaning process, i.e. extract...
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