Global Journal of Computer Science and Technology (GJCST)
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Optimization of Web-Based Hierarchical Workgroups to Automate Workflow
Get PDFThis project is aimed at developing web application which provide services for an education institution such as requesting leave, reserving books and posting suggestions. It is an Intranet based web-application which can be accessed by all the students and faculties throughout the department. A different access level login has been provided for students, faculties and the head of the department to access the services. This application can be used to automate the workflow of leave applications and their approvals. Through this application students can send a leave request to both the head of the department and the faculty. Each and every leave request of the students will be stored in the database. Thus the students who took leave frequently can be identified easily by the head of the department. There are options available for the students and faculties to reserve the books from the department library. A library catalogue has been provided with this application so that the desired books and magazines can be searched and reserved at anytime. After the reservation details are verified, the librarian or the managing staff will issue the books. In addition to this, department functions and upcoming events can be viewed through an event calendar. Innovative thoughts and ideas are always accepted by the department, the Feedback or Suggestion Box scheme provided by this application gives an opportunity for the students to give their creative idea and getting them to be implemented for achieving department excellenc
Improved Approaches to Handle Bigdata through Hadoop
Get PDFBig data is an evolving term that describes any voluminous amount of structured, semistructured and unstructured data that has the potential to be mined for information.Today2019;s world produces a large amount of data from various sources, records and from different fields termed as 201C;BIG DATA201D;. Such huge data is to be analyzed, and filtered using various techniques and algorithms to extract the interested and useful data to gain knowledge. In the new era with the boom of both structured and unstructured types of data, in the field of genomics, meteorology, biology, environmental research and many others, it has become difficult to process, manage and analyze patterns using traditional databases and architectures. It requires new technologies and skills to analyze the flow of material and draw conclusions. So, a proper architecture should be understood to gain knowledge about the Big Data. The analysis of Big Data involves multiple distinct phases such as collection, extraction, cleaning, analysis and retrieval
A Review on Non-Linear Programming and Generalized Invexity
Get PDFOver past few years the concept of NLPP and their related results based on generalized invexity has become one of the prominent and important areas of classical optimization This paper presents a brief review on such problems and their respective results in game theory continuous time programming multivariable optimization composite programming et
Modified Distributive Arithmetic based 2D-DWT for Hybrid (Neural Network-DWT) Image Compression
Get PDFArtificial Neural Networks ANN is significantly used in signal and image processing techniques for pattern recognition and template matching Discrete Wavelet Transform DWT is combined with neural network to achieve higher compression if 2D data such as image Image compression using neural network and DWT have shown superior results over classical techniques with 70 higher compression and 20 improvement in Mean Square Error MSE Hardware complexity and power issipation are the major challenges that have been addressed in this work for VLSI implementation In this work modified distributive arithmetic DWT and multiplexer based DWT architecture are designed to reduce the computation complexity of hybrid architecture for image compression A 2D DWT architecture is designed with 1D DWT architecture and is implemented on FPGA that operates at 268 MHz consuming power less than 1
Articulations and Translations: Decentralizing Action in the Videogame
Get PDFThis study explores the relation between cognition and videogame Player Character It uses the procedural rhetoric as its main approach understanding the activity of playing through its inner processes The relation playercharacter- game often appears described in terms of representation and identification We however suggest that some concepts by Bruno Latour such as articulation and translation describe this relationship more accurately They allow for a decentralization of a supposed origin of action be it from the subject be it from the machine A less dichotomic way to describe such relation is presented at last allowing us to think the playing experience as capable of reconfiguring both game and playe
Analysis of OLSR, DSR, DYMO routing protocols in mobile Ad-Hoc Networks using OMNeT++ Simulation
Get PDFIn present scenario, choosing the routing protocol is vital task in mobile ad-hoc networks. These type of networks is collection of nodes which are connected dynamically and situated without using any infrastructure. There are various types of routing protocols have been implemented such as OLSR, DSR, DYMO, AODV, DSDV, BATMAN etc. These are implemented in specific simulation environments. In this research, an analysis has been done to choose the appropriate routing protocol. A comparison based on relative results is prepared for DYMO, OLSR and DSR protocol. A sample network is simulated to try these three routing protocols over a set of parameters. DYMO and DSR protocols found more difficult and OLSR protocol has better performance in comparison of both DYMO and DSR. This simulation has been carried out using OMNeT++ simulation framewor
Recent Advancements on Symmetric Cryptography Techniques -A Comprehensive Case Study
Get PDFNow a day2019;s Cryptography is one of the broad areas for researchers; because of the conventional block cipher has lost its potency due to the sophistication of modern systems that can break it by brute force. Due to its importance, several cryptography techniques and algorithms are adopted by many authors to secure the data, but still there is a scope to improve the previous approaches. For this necessity, we provide the comprehensive survey which will help the researchers to provide better techniques
Concurrent Access Algorithms for Different Data Structures: A Research Review
Get PDFAlgorithms for concurrent data structure have gained attention in recent years as multi-core processors have become ubiquitous. Several features of shared-memory multiprocessors make concurrent data structures significantly more difficult to design and to verify as correct than their sequential counterparts. The primary source of this additional difficulty is concurrency. This paper provides an overview of the some concurrent access algorithms for different data structures
A Novel Approach for Elastic Query Processing in the Cloud
Get PDFCloud computing is a promising model of serviceoriented computing. One major advantage of cloud computing is its elasticity, i.e., the system's capability to supply and take away resources dynamically at runtime. For that, it's essential to design and implement a systematic and effective technique that takes complete advantage of the system's potential flexibility. This paper presents a non-invasive approach that monitors the performance of relational database management systems in cloud infrastructure, and dynamically makes choices to maximise the effectiveness of the provider's environment whereas still satisfying specified service level agreements" (SLAs)
Quality of Service Centric Web Service Composition: Assessing Composition Impact Scale towards Fault Proneness
Get PDFService composition in service oriented architecture is an important activity. In regard to achieve the quality of service and secured activities from the web service compositions, they need to be verified about their impact towards fault proneness before deploying that service composition. Henceforth, here in this paper, we devised a novel statistical approach to assess the service composition impact scale towards fault proneness. The devised model explores the higher and lower ranges of the service composition impact scale, which is from the knowledge of earlier compositions that are notified as fault prone