Global Journal of Computer Science and Technology (GJCST)
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Metrics for Quality Assurance of Web based Applications
Get PDFWeb-Commerce applications are now an indispensable aspect of businesses around the world. More businesses are now migrating from outdated applications to a new type of combined ebusiness designs. With such large volumes of applications that need to be put online, there is now a dire need for measurable and quantifiable metrics that can help in gauging the quality of these websites. The development considerations for both domains may be deemed similar in their final purpose, that is to provide a service to its end-users, however, web-applications today face a myriad of constraints, with most businesses opting to go online, the crucial questions are; Is the Web info metrics are any different, or is it just an application of classical metrics (desktop metrics) to a new medium (web metrics). In our research, we propose to investigate these issues, and present the distinguishable metrics for the Quality Assurance(QA) processes involved in Web-Applications, as opposed to traditional desktop software application
A Comparitive Study On Location based Multicast Routing Protocols of WSN: HGMR, HRPM, GMR
Get PDFWireless sensor network comprises of a set of sensor nodes that communicate among each other using wireless links and work in an open and distributed manner due to which wireless sensor networks are highly prone to attacks. This is difficult to determine the position of the sensor nodes; therefore the sensor network protocols must inculcate self-organizing competence. Location awareness is one of the important concern in WSN because for a network mostly data collection is grounded on location, so this is imperative for all the nodes to know their position whenever it is required and it is also helpful in calculating the distance between two particular nodes to deal with energy consumption issues. This paper focuses on the three location based routing multicast protocols: HGMR, HRMP, GMR and their comparison is done on the basis of different metrics like latency, PDP, encoding overhead etc
Channel Sharing based Medium Access Control Protocol for Wireless Nano Sensing Network
Get PDFRecent advancement and grown up technologies has enabled the development and implementation of low-cost, energy efficient and versatile sensor networks. Sensor networks are built up with sensors that have the ability to sense physical or environmental property. Assumption can be made that Wireless Sensing Network (WSN) is able to sense environmental conditions at Nano and gaseous level. This architecture of Wireless Sensor Network is maintained by a sub-layer named Medium Access Control Layer that provides addressing and channel access control mechanism among multiple nodes of the network and makes these nodes capable to communicate with other nodes through a shared medium. The hardware that implements the MAC is referred to as a medium access controller. This paper finds the problems in selection of cluster nodes and transmitting data and also proposes an improved MAC protocol to minimize the problem
Changing Scenario of Testing Paradigms using DevOps a A Comparative Study with Classical Models
Get PDFMany organizations come across themselves in a challenging conditions with the increase of web applications which depend on cloud As cloud applications are supportive for rapid releases with respect to the queries requested by the user community Most of the software organizations expects to release the product in time as required by the end user hence it pressurize functional teams of the organization to do the needful As perfection is rare to achieve it is obvious to commit more and more defects and consequent annoyance to the team This paper discusses about a new paradigm i e DevOps which tries to address the identified problem by integrating Development and Operations teams In this model the development team would take care of operational requirements like deploying scripts debugging and performance testing from the scratch and the operations team take care of well-informed support and feedback before during and after deploymen
Supervised Content based Image Retrieval using Fuzzy Texton and Shearlet Transform
Get PDFIn this paper we proposed, a novel framework to assist and automate the diagnosis of diseases from computer-based image analysis method using Content-based image retrieval (CBIR). CBIR is the process of retrieving related images from large database collections by using low level image features such as color, texture and shape etc. we have used fuzzy texton and discrete shearlet transform to extract texture and shape features. The aim is to support decision making by retrieving and displaying relevant past cases visually similar to the one under examination with relevance feedback using Support Vector Machines
Attribute Assignment to Point Cloud Data and Its Usage
Get PDFIn recent years, with the development of laser measurement technology, utilization of point cloud data is progressing. However, since point cloud data does not contain attribute information, the usability of the data is low. It is possible to consider that by assigning attributes to the nonattribute point cloud data, this can lead to the usage of point cloud data in each phase of life cycle of construction: design, construction, and maintenance. Therefore, in this paper, the authors have proposed an attribute assignment method for point cloud data. In addition, the authors proposed the way to use attributed point cloud data, the usage as objects, data linkage, and visualization by using the attribute assignment method. Point cloud data of a dam was used as a case study for the proposed method and the usage
Nomenclature and Contemporary Affirmation of the Unsupervised Learning in Text and Document Mining
Get PDFDocument clustering is primarily a method applied for an uncomplicated, document search, analysis and review of content or is a process of automatic classification of documents of similar type categorized to relevant clusters, in a clustering hierarchy. In this paper a review of the related work in the field of document clustering from the simple techniques of word and phrase to the present complex techniques of statistical analysis, machine learning etc are illustrated with their implications for future research work
P2DM-RGCD: PPDM Centric Classification Rule Generation Scheme
Get PDFIn present day applications the approach of data mining and associated privacy preservation plays a significant role for ensuring optimal mining function. The approach of privacy preserving data mining (PPDM) emphasizes on ensuring security of private information of the participants. On the contrary majority of present mining applications employ the vertically partitioned data for mining utilities. In such scenario when the overall rule is divided among participants, some of the parties remain with fewer rules sets and thus the classification accuracy achieved by them always remain questionable. On the other hand, the consideration of private information associated with any part will violate the approach of PPDM. Therefore, in order to eliminate such situations and to provide a facility of rule regeneration in this paper, a highly robust and efficient rule regeneration scheme has been proposed ensures optimal classification accuracy without using any critical user information for rule generation. The proposed system developed a rule generation function called cumulative dot product (P2DM-RGCD) rule regeneration scheme. The developed algorithm generates two possible optimal rule generation and update functions based on cumulative updates and dot product. The proposed system has exhibited optimal response in terms of higher classification accuracy, minimum information loss and optimal training efficiency
High Security by using Triple Wrapping Feature and their Comparison
Get PDFIn the age of information, cryptography is a predominant obligation for the security of our documents. Cryptography inclusive of authentication, integrity, confidentiality and non-repudiation has lot to offer. To protect users2019; information and their data from being attacked, encryption and digital signature algorithms could be utilized with distinct approaches to administer secure network and security solutions. In the current scenario, encryption alone cannot withstand the novel attacks; for notable security, we require encryption with digital signature. In this paper symmetric, asymmetric algorithm and digital signature techniques are proposed to elevate security. ElGamal encryption algorithm, ElGamal digital signature algorithm and IDEA algorithms are employed in the proposed methodology
An Enhanced Wavelet based Image Compression Technique
Get PDFWith the fast expansion of multimedia technologies, the compression of multimedia data has become an important aspect. Image compression is important for efficient storage and transmission of images. The limitation in bandwidth of wireless channels has made data compression a necessity. Wireless channels are bandwidth limited and due to this constraint of wireless channels, progressive image transmission has gained much popularity and acceptance. The Embedded Zerotree Wavelet algorithm (EZW) is based on progressive encoding, in which bits in the bit stream are generated in order of importance. The EZW algorithm, code all the frequency band of wavelet coefficients as the same importance without considering the amount of information in each frequency band. This paper presents an enhanced wavelet based approach to overcome the limitation of the Embedded Zerotree Wavelet (EZW) algorithm. This method divides the image into some sub-blocks