Our computer science essays and dissertations cover popular topics including Artificial Intelligence (AI), Computer Engineering, Computer Networks, The Internet, Data Structure, Discrete Mathematics, File Sharing, Hacking and Security, Programming, Robotics and Software Engineering.
ABSTRACT College Management Systems are applications that control, moderate and manage the activities that are carried out in an educational institution. Many of these systems are used marginally as most of the work is done manually or based on paper document collation which are then manually imputed into the system by individuals who have access … Read more
1 Introduction and Background 1.1. Introduction In recent years, the usage of mobile phone is increasing significantly across the world. According to statistics as of 2013, 73% of internet users accessed the internet resources via a mobile device and this percentage projected to nearly 90% by 2017[1]. Mobile phones numbers and other types of integrated … Read more
Chapter 1: Introduction 1.1 Classification Classification is a supervised data mining technique that involves assigning a label to a set of unlabeled input objects. Based on the number of classes present, there are two types of classification: Binary classification ‘ classify input objects into one of the two classes. Multi-class classification ‘ classify input objects … Read more
Chapter 1 Cognitive Radio 1.1 Introduction Cognitive wireless [1] is an a promising technology that can be utilized to enhance the utilization efficiency of the wireless spectrum, by permitting secondary user (SU) webs to co-exist alongside Primary user (PU) webs across spectrum sharing. A key necessity is that SU transmission will not adversely alter the … Read more
Motivation: Outlier detection is one of the most interesting areas in the context of data mining. It has many applications such as intrusion detection, medical anomaly detection, sensor anomaly detection etc. Detecting outlier is challenging in various new data types such as data stream, spatio temporal and time series data. Effective and efficient methods are … Read more
Abstract’ This paper presents our research in Email classification using different classification methods.In todays world, people are so much inclined towards Social Networking due to which it has become easy to spread spam contents through them. One can have access to the details of any person easily through these social networking websites. No one is … Read more
With the rapid development of security awareness and embedded system society have a higher demand for security & surveillances. The majority of scientific research institute & manufacturers have attached more importance to the design of intelligent security & surveillance system for improving monitoring capabilities and securities of the office & remote places. Closed-circuit television monitoring … Read more
It is a combination of OSPF and EIGRP routing protocol including security of the network. The elements considered in this secure hybrid algorithm for routing are Initialization Information from neighbor Link state protocol Link state database Shortest path calculation Neighbor Table Neighbor Discovery Recovery Mechanism Topology Table Reliable Transport Protocol Feasible Distance calculation Feasible condition … Read more
Chapter 1 INTRODUCTION 1.1 Introduction Remote backup solution is provided by CLOUD storage on demand. However, by using such as having a single point of failure and vendor lock-ins with single cloud service providers. As suggested in this system, a logical solution is to stripped by data across different cloud providers. By exploiting the diversity … Read more
CHAPTER 1 PREAMBLE This segment denotes the project ‘Performance analysis of steganography algorithm using security application’ preamble. This includes the details of project like the need of project. To explain more we have the introduction of project with the setbacks, alive system, intension aspiration and factual. 1.1 Introduction In modern world with increase in demand … Read more
ABSTRACT: This paper explains the method for lossless compression multi-channel electroencephalogram signals. The Multichannel wavelet transform is used to exploit the inter-correlation among the EEG channels. An Huffman transform is applied to further minimize the temporal redundancy. A compression algorithm is built based on the principle of ‘lossy plus residual coding,’ consisting of a matrix/tensor … Read more
A Steady State Genetic Algorithm (GA) is proposed for the Traveling Salesman Problem with Pickup and Delivery (TSPPD). TSPPD is an extension of the well known Traveling Salesman Problem (TSP). TSPPD is a graph and grouping optimization problem. In this thesis, TSPPD is differentiated by a group of cities as customers, each of them supplying … Read more
Abstract’This Optoacoustic tomography (OAT) is a hybrid, non invasive method which is also known as photo acoustic tomography, is an emerging computed biomedical imaging modality. Reconstruction method is used to reconstruct the OAT images, among which iterative reconstruction algorithm is the one that is designed to minimize the error between measured signals and signals from … Read more
Abstract String transformation is an essential problem in language processing, pronunciation generation, spelling error correction and word transliteration,.we propose a probabilistic approach to the task. Our method is novel and unique in the following aspects. It employs (1) a log-linear (discriminative) model for string transformation, (2) an effective and accurate algorithm for model learning, and … Read more
Abstract: An unsplit-field and stretched coordinate (SC) based perfectly matched layer (PML) is presented for JE Collocated finite-difference-time-domain method with weighted Laguerre polynomials (JEC-WLP-FDTD) in nonmagnetic plasma medium. Through adding a perturbation, the huge sparse matrix equation is solved with a factorization-splitting scheme. This leads to much less CPU time and memory storage than in … Read more
