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Face recognition is a biometric analysis tool that has enabled surveillance systems to detect humans and recognize humans without their co-operation. In this scheme face recognition is done by Principal Component Analysis (PCA). Face images are projected onto a face space that encodes best variation among known face images. The face space is defined by eigenface which are eigenvectors of the set of...
In this paper, we present a novel approach towards combining various machine learners. Our novel approach shows an increase in the accuracy for solving the classification problems in machine learning. We first present a technique of combining learners and also show its implementation using Python programming and then show its comparison with other learners. Later we discuss feature space design and...
Infant abduction, swapping, missing, illegal adoptions and kidnapping are increasing issues in the hospitals, birthing centers, health centers and in other places where multiple births occur simultaneously. A biometric system using the footprint of the newborn is proposed to overcome such issues. An online system with specialized preprocessing steps is developed for the images with a normal and a...
Cloud computing is the current technology used for sharing and accessing resources via Internet. It provides a scalable and cost effective environment. Large number of servers in the datacenters leads to huge consumption of power in the cloud computing scenario. Optimization of power consumption is a key challenge for effectively operating a datacenter. Power consumption can be regulated by using...
Feature selection is a vital process in classification of medical datasets. This paper addresses feature selection in Radial Basis Function (RBF) kernel space for the classification of multiclass dermatology dataset using neural network and data mining classifiers. It has three stages in determining relevant and irrelevant features for the classification task. In stage I, the features of dermatology...
In this study, potential inhibitors against Harpin protein (Pectobacterium carotovorum), and Single-stranded DNA binding protein (Pseudomonas aeruginosa) is to be found. Modelled 3-D structure of target protein and their newly designed leads (inhibitors) are used for molecular docking studies using Hex 5.1. For machine learning approach, three data sets of leads are to be formed i.e. training, dependent...
The nonlinearity of a Power amplifier creates spectral growth beyond a specific bandwidth which interferes with adjacent channels. This nonlinearity also causes in-band distortion which will affect the Bit error rate performance, so Linearization of power amplifiers is very essential for reliable transmission. Digital Pre-distortion (DPD) is a linearization technique which will negate the non-linear...
This paper presents a basic useful technique for carrier frequency offset (CFO) estimation in orthogonal frequency division multiplexing (OFDM) over frequency selective fading channel. The performance of OFDM system is very sensitive to CFO, which introduces inter-carrier interference (ICI). In cyclic prefix (CP) based estimation, the CFO can be found from the phase angle of the product of CP and...
Intrusion Detection System (IDS) has increasingly become a crucial issue for computer and network systems. Intrusion poses a serious security risk in a network environment. The ever growing new intrusion types pose a serious problem for their detection. The acceptability and usability of Intrusion Detection Systems get seriously affected with the data in network traffic. A large number of false alarms...
Codebook generation plays an important role in Vector Quantization (VQ) such that the distortion between the original image and the reconstructed image need to be minimum. The paper presents an effective clustering algorithm to generate codebook for vector quantization. In Kekre's Error Vector Rotation (KEVR) while splitting the cluster every time new orientation is introduced using error vector sequence...
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