Global Journal of Computer Science and Technology (GJCST)
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Motivation and IT project success
Get PDFThe goal of this literature review is to Compare and contrast the types of quantitative research approaches used to conduct studies on the relationship between motivation and IT project success. Additionally, the secondary goal is to Examine and discuss the issues of sampling, validity, reliability, and bias within these contexts. Wester, Borders, Boul, and Horton (2013) define research as, "An activity conducted to increase knowledge by systematically collecting, analyzing, and interpreting data to answer carefully formulated questions about publicly observable phenomena." (p. 280). Research is a critical part of the scientific method that allows our society and species to understand the world around us. Research can be divided into multiple categories. The two predominant research categories are qualitative and quantitative. Simply making the choice between quantitative and qualitative research is a challenge that deadlocks many research projects. Students struggle with this very dilemma, often changing the direction of their research multiple times before settling on a solid direction
Modern Methods in the Development of Education Using Cloud Computing Applications
Get PDFThe world is a big scientific and technological revolution, have had an impact on all aspects of life, he became Education demanding to search for new methods of teaching and models to meet the many challenges at the global level, including the increased demand for education with a reduction in the number of educational institutions, and increase the quantum informational in all branches of knowledge , appeared E-Learning to help the learner to learn at the place where he wants while preferences without the obligation to come to the classroom at specific times, Became the methodology and ways of educational and search for information and easily obtained and the acquisition of new knowledge through cloud computing applications
Object Oriented Database Management Systems-Concepts, Advantages, Limitations and Comparative Study with Relational Database Management Systems
Get PDFObject Oriented Databases stores data in the form of objects. An Object is something uniquely identifiable which models a real world entity and has got state and behaviour. In Object Oriented based Databases capabilities of Object based paradigm for Programming and databases are combined due remove the limitations of Relational databases and on the demand of some advanced applications. In this paper, need of Object database, approaches for Object database implementation, requirements for database to an Object database, Perspectives of Object database, architecture approaches for Object databases, the achievements and weakness of Object Databases and comparison with relational database are discussed
Discrimination of Textures Using Texton Patterns
Get PDFTextural patterns can often be used to recognize familiar objects in an image or retrieve images with similar texture from a database. Texture patterns can provide significant and abundance of texture and shape information. One of the recent significant and important texture features called Texton represents the various patterns of image which is useful in texture analysis. The present paper is an extension of our previous paper [1]. The present paper divides the 3 D7; 3 neighbourhood into two different 2 D7; 2 neighbourhood grids each consist four pixels. On this 2 D7; 2 grids shape descriptor indexes (SDI) are evaluated separately and added to form a Total Shape Descriptor Index Image (TSDI). By deriving textons on TSDI image Total Texton Shape Matrix (TTSM) image is formed and Grey Level Co-Occurence Matrix (GLCM) parameters are derived on it for efficient texture discrimination. The experimental result shows the efficacy of the present metho
A Dynamic Resource Allocation based on Multi Attributes Scoring in Collaborative Cloud Computing
Get PDFCollaborative cloud computing involves providing cloud services on globally distributed resources belonging to different organizations in a cooperative manner. Resource management and allocation in Collaborative Cloud is challenging because of the heterogeneity of the resources. The other challenge is guaranteeing the Quality of Service (QOS) and availability of these resources. Users2019; resource demands have to be managed properly to ensure acceptable QOS. In this paper, we propose a method for effective management and allocation of resources using machine learning and using multi attribute tuning. The method has been simulated in cloud-sim as well as implemented on Amazon work space and results show that the proposed method performs better than reputation based algorithms
Hybrid Genetic Algorithms for Scheduling High-Speed Multimedia Systems
Get PDFIt has been observed that most conventional operating systems could not cope with the scheduling of multimedia tasks owing to the large size of these files. For instance, processing of multimedia tasks using the traditional operating systems are fraught with problems such as low quality of service and delay jitters. In order to address these problems, a scheduling algorithm christened hybrid genetic algorithm for multimedia task scheduling (HGAMTS) was developed. It employed heuristic knowledge of the problem domain to model a hybrid genetic algorithm in a multiprocessor environment. The system is made up of the scheduler model and the task model. The scheduler model consist a centralized dynamic scheduling scheme. In this scheme, all tasks arrive at a central processor (scheduler). The model has a minimum of five and maximum of ten processors. Attached to each processor is a dispatch queue
Research Analysis of Cyber Security
Get PDFIn an age of cyber technology with it fast pacing and ever evolving, securing data in cyber space is a major enigmawhich needs to be resolved.With vulnerabilities everywhere, data security and privacy is always at risk. This specially comes in play when services of third party are used knowingly or unknowingly. Government and business organizations are testing and implementing security and monitoring techniques to stand a better chance in raging war against cyber-crimes. Moreover, the formulation of new methods also poses new limitations of the systems as well as the users like lack of efficiency or complexity which need to be resolved in order to get better results. In this research paper some of those limitations and their solutions are discussed
Testability Assessment Model for Object Oriented Software based on Internal and External Quality Factors
Get PDFSoftware testability is coming out to be most frequent talked about subject then the underrated and unpopular quality factor it used to be in past few years. The correct and timely assessment of testability can lead to improvisation of software testing process. Though many researchers and quality controllers have proved its importance, but still the research has not gained much momentum in emphasizing the need of making testability analysis necessary during all software development phases. In this paper we review and analyse the factors affecting testability estimation of object oriented software systems during design and analysis phase of development life cycle. These factors are then linked together in the form of new assessment model for object oriented software testability. The proposed model will be evaluated using analytical hierarchical process (AHP)
Q-Coverage Maximum Connected Set Cover (QC-MCSC) Heuristic for Connected Target Problem in Wireless Sensor Network
Get PDFWireless Sensor Network is a wireless network consisting of spatially distributed autonomous devices using sensors to cooperatively monitor physical or environmental conditions. Wireless sensors networks (WSNs) can operate in harsh environments in which actual monitoring by human being are risky, inefficient and sometimes infeasible. This is the main advantages of WSN. In most of the cases, replenishment of batteries might be impossible. That2019;s why lifetime of WSN shows a very strong dependency on battery lifetime. So an important issue in sensor networks is power scarcity, which depends on battery size and weight limitations of WSN node. Energy-aware algorithms are designed for extending the lifetime of wireless sensor network. Different mechanisms can be used to optimize the energy of sensors and they have a great impact on prolonging the network lifetime. Energy minimization techniques can be used at routing, clustering and sensor scheduling etc
An Implementation of Virtual Classroom and Performance Analysis of Teaching-Learning Outcome
Get PDFVirtual classroom is an irreplaceable part of distant learning systems and an important direction in the online education research field. A number of research works have been carried out in this area and many of them have been successfully implemented. However, most of them are video tutorial-based learning portal and video streaming classroom. In this paper, a model of real-time interactive virtual classroom has been proposed and implemented that provides real-time interactive classes with the collaboration of teacher and students in a single portal. It allows some responsive and co-operative tools that help teachers and students to interact easily irrespective of their distance. This virtual classroom has been designed to focus on the learners living is remote areas who cannot access the modern amenities of education. One of the main research goals is to provide the effective teaching and learning system where the distance between teacher and students can be reduced. Moreover, this paper makes some analysis and discussion about the testing and effectiveness of virtual classroom and analyzes the learning outcome