Global Journal of Computer Science and Technology (GJCST)
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Fingerprint Recognition in Biometric Security -A State of the Art
Get PDFToday, because of the vulnerability of standard authentication system, law-breaking has accumulated within the past few years. Identity authentication that relies on biometric feature like face, iris, voice, hand pure mathematics, handwriting, retina, fingerprints will considerably decrease the fraud. so that they square measure being replaced by identity verification mechanisms. Among bioscience, fingerprint systems are one amongst most generally researched and used. it\'s fashionable due to their easy accessibility. during this paper we tend to discuss the elaborated study of various gift implementation define strategies together with their comparative measures and result analysis thus as realize a brand new constructive technique for fingerprint recognition
The Effect of E-Learning Approach on Studentsa Achievement in Fraction Math Course Level 5 at Yemens Public Primary School
Get PDFE-learning (EL) is widely used in school and other organizations all over the world, because of difficulties in math skills (Remembering , understanding , application). There have not been any major surveys in the Yemen Public Primary School (YPPS) in that regard. This is the driving question behind this research: What is the effectiveness and usefulness of using e-learning approach in teaching the fraction math course for students of level 5 in the republic of Yemen on (Remembering , understanding , application) skills ? In this study, an experimental group of (30) students studying a course using e-learning approach. The control group (30) students they studying a course traditional learning, experimental design approach were used. The students2019; achievement was examined between two groups. The research results proved that there is a significant increase in gain in achievement, The EL has achieved efficiency greater than traditional learning in (Remembering, understanding, application) skills
Visual Recognition of Bengali Sign Language using Local Binary Pattern Compared with ANN
Get PDFThis paper presents an overview of visual recognition of Bengali Sign Language. In this paper we learn and detect a sequence of sign words and recognize the sign language that are understandable to the deaf and hearing impaired people to help normal people understand the meaning of these words. The research discusses the characteristics of the human sign languages, the requirements and difficulties behind visual sign recognition, how to deal with others persons and the different techniques used in the sign language recognition. The paper consists of two major parts, namely the learning part and the detection part. The system takes the sign images as its input. First sign images are learnt by the proposed system. When a sign image is given for recognition, the detection part identifies the image with the help of previously learned images. For learning and detection we have used local binary pattern compared with back propagation algorithm of Artificial Neural Network. We believe that this research will be of much help to express their thoughts and feelings between the deaf people and the normal people
Computer Network Performance Evaluation based on Datarate and Number of Clients Per Server using OMNeT++ Simulation Environment
Get PDFWe present the performance of Computer network using OMNeT++ network simulation framework and Nclient application module from INET framework for our experiment. Present paper is the study of how datarate in affecting the performance of Computer Network. Main aim of the study is to find out the best configuration network setup to get optimum Network throughput. The performance of the Network is measured in terms of throughput
Contemporary Affirmation of Machine Learning Models for Sensor Validation and Recommendations for Future research Directions
Get PDFWireless Sensor Networks (WSNs) are important and needed systems for the future as the notion "Internet of Things" has emerged lately. They're used for observation, tracking, or controlling of several uses in sector, health care, home, and military. Yet, the quality of info collected by sensor nodes is changed by anomalies that happen because of various grounds, including node failures, reading errors, unusual events, and malicious assaults. Thus, fault detection is a necessary procedure before it's used in making selections to make sure the quality of sensor information. A multitude of methods can be called multiple-changeable systems/agents. For example methods such as for example creating heating system, ventilation and air conditioner(HVAC) methods are changeable methods / agents . Multiple-changeable methods /agents such as for instance these commonly don't meet performance expectations imagined at design time. Such failings can be a result of a number of factors, for example difficulties due to improper installment, substandard maintenance, or products failure. These issues, or "faults," can comprise mechanical disappointments, management difficulties, design mistakes, and improper operator treatment
A Parameteric Estimation Approach to for Effective Cluster Selection in WPAN
Get PDFWPAN is the most advanced communication network that combines the capabilities of Mobile network and sensor network in a complex global area scenario. This network defines various integrated processes under communication scenario specification. Cluster Selection process is the most common requirement of any WPAN scenario because of the mobility feature for vehicle nodes. In this work, an effective soft-Cluster Selection mechanism is defined under positional and communication parameter analysis. The work is defined for global highway scenario. The obtained results from system shows the effective comm-unication rate and lesser communication loss
Illumination Condition Effect on Object Tracking: A Review
Get PDFIllumination is an important concept in computer science application. A good tracker should perform well in a large number of videos involving illumination changes, occlusion, clutter, camera motion, low contrast, specularities and at least six more aspects. By using the review approach, our tracker is able to adapt to irregular illumination variations and abrupt changes of brightness. In static environment segmentation of object is not complex. In dynamic environment due to dynamic environmental conditions such as waving tree branches, shadows and illumination changes in the wind object segmentation is a difficult and major problem that needs to be handled well for a robust surveillance system. In this paper, we survey various tracking algorithms under changing lighting condition
Performance Analysis of DSDV, AODV AND AOMDV Routing Protocols Based on Fixed and Mobility Network Model in Wireless Sensor Network
Get PDFWireless sensor networks (WSN) is capable of autonomously forming a network without human interaction. Each node in a WSN acts as a router, forwarding data packets to other nodes. Without routing protocols, these routers cannot work together in phase. A central challenge in the design of WSN is the development of routing protocols that can efficiently find routes in a network. The question is which criteria should be considered when selecting a routing protocol, for instance, energy consumption (battery life), bandwidth, or security? We selected energy consumption as this is the most important criterion in WSN. To find out the best routing protocol, we analyzed three routing protocols namely AODV (Ad-hoc On Demand Distance Vector), AOMDV (Ad-hoc On Demand Multiple Distance Vector), and DSDV (Destination Sequence Distance Vector). Overall performance of these protocols was analyzed by comparing end-to-end delay, throughput, normalized routing load, and energy consumption of the network. This was accomplished by using the Network Simulator, NS-2.34 over IEEE 802.11. The analysis shows that AOMDV is the best routing protocol in terms of energy consumption
Application Layer Multicasting Overlay Protocol a NARADA Protocol
Get PDFThe conventional wisdom has been that Network Layer Internet protocol(IP) is the natural protocol layer for implementing multicast related functionality but it is still plagued with concerns pertaining to scalability, network management, deployment and support for higher layer functionality such as error, flow and congestion control. In this context, an alternative architecture is, Application layer multicast (End Systems Multicasting), where at Application layer, implements all multicast related functionality including membership management and packet replication. This shifting of multicast support from routers to end systems has the potential to address the most problems associated with IP multicast. In Application-layer multicast, applications arrange themselves as a logical overlay network and transfer data within the overlay network (between end hosts). In this context, we study these performance concerns in the context of the NARADA protocol (an application layer multicasting protocol). In Narada, end systems self-organize into an overlay structure using a fully distributed protocol. We present details of NARADA and evaluate it using NS-2 simulations. Our results indicate that the performance penalties are low both from the application and the network perspectives. We believe the potential benefits of transferring multicast functionality from routers to end systems, significantly outweigh the performance penalty incurred
Energy Consumption of TCP in Ad Hoc Networks
Get PDFIn this paper we study the energy cost (protocol processing and communication cost) and goodput of different flavors of TCP (Transmission Control Protocol) in ad hoc networks.We implemented a tes tbed and measured the actual energy cost as well as goodput of running TCP Reno, Newreno, SACK (Selective ACKnowledgement) and a version that combines Explicit Link Failure Noti_cation (ELFN)and Explicit Congestion Noti_cation (ECN) in Newreno. We see that the use of EC