2,365 research outputs found

    Information Systems Undergraduate Degree Project: Gaining a Better Understanding of the Final Year Project Module

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    The place of an individual project in the final year of Information Systems (IS) undergraduate degrees at UK universities is well established. In this paper we compare the final year project modules at four UK universities: the University of Brighton, the University of South Wales, University of West London and the University of Westminster. We find that the aims of the projects are similar, emphasising the application of the knowledge and skills from the taught element of their course in a complex development project, often including interactions with a real client. Although we show in this analysis that projects serve a similar purpose in the IS degree courses, the associated learning outcomes and the assessment practice varies across the institutions. We identify some gaps in the skills and abilities that are not being assessed. In further work we are planning to consult final year students undertaking their projects and their supervisors, in order to gain an understanding of how project assessment criteria are actually put to use

    Foundations of Quantum Discord

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    This paper summarizes the basics of the notion of quantum discord and how it relates to other types of correlations in quantum physics. We take the fundamental information theoretic approach and illustrate our exposition with a number of simple examples.Comment: 3 pages, special issue edited by Diogo de Oliveira Soares Pinto et a

    Statistical Mechanics of DNA Rupture: Theory and Simulations

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    We study the effects of the shear force on the rupture mechanism on a double stranded DNA. Motivated by recent experiments, we perform the atomistic simulations with explicit solvent to obtain the distributions of extension in hydrogen and covalent bonds below the rupture force. We obtain a significant difference between the atomistic simulations and the existing results in the iterature based on the coarse-grained models (theory and simulations). We discuss the possible reasons and improve the coarse-grained model by incorporating the consequences of semi-microscopic details of the nucleotides in its description. The distributions obtained by the modified model (simulations and theoretical) are qualitatively similar to the one obtained using atomistic simulations.Comment: 18 pages, 9 figures. Accepted in J. Chem. Phys. (2013). arXiv admin note: text overlap with arXiv:1104.305

    Compositional and Temperature Dependent Electrical Behaviour of Zinc-Substituted Copper-Ferri-Chromates

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    A Role of Semantic Web and Ontology in Information Retrieval

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    Web Mining is an application of data mining which focuses on discovering relevant data from Web content. The Semantic Web describes a web as data rather than documents. It characterizes information in understandable manner moreimplicitly for humans and computers.It wasdeveloped with the help of Ontology, which is the pillar of the Semantic Web. The semantic Web depends on integration and use of semantic data, and sematic data is depends on ontology. Ontology can provide a common vocabulary, a grammar for publishing data, and can supply a semantic d data which can be used to preserve the Ontologies and keep them ready for inference. This also helps in personalized filtering mechanisms for users to consume relevant, interesting information from web sites. By combining web mining and sematic web, we can retrieve relevant data called as semantic web mining. This paper gives an overview of sematic web mining and their applications

    Collaborative IDS Framework for Cloud

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    Cloud computing is used extensively to deliver utility computing over the Internet. Defending network acces- sible Cloud resources and services from various threats and attacks is of great concern. Intrusion Detection Sys- tem (IDS) has become popular as an important network security technology to detect cyber-attacks. In this paper, we propose a novel Collaborative IDS (CIDS) Framework for cloud. We use Snort to detect the known stealthy attacks using signature matching. To detect unknown at- tacks, anomaly detection system (ADS) is built using De- cision Tree Classi�er and Support Vector Machine (SVM). Alert Correlation and automatic signature generation re- duce the impact of Denial of Service (DoS) /Distributed DoS (DDoS) attacks and increase the performance and accuracy of IDS

    A Simple and Sensitive HPTLC Method for Simultaneous Determination of Metformin Hydrochloride and Sitagliptin Phosphate in Tablet Dosage Form

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    A simple, rapid, and precise high-performance thin-layer chromatographic (HPTLC) method for simultaneous estimation of two antidiabetic drugs, metformin hydrochloride and sitagliptin phosphate, in tablet dosage form has been developed and validated. Chromatography was performed on silica gel 60 F254 plates with butanol : water : glacial acetic acid (6 : 2 : 2, v/v/v) as mobile phase. This system gave a good resolution for metformin hydrochloride ( value of 0.35 ± 0.01) and sitagliptin phosphate ( value of 0.75 ± 0.01). Detection and quantification were carried out at 227 nm. The linear regression data for the calibration plot showed a good relationship with and 0.9991 for metformin hydrochloride and sitagliptin phosphate, respectively. The method was validated for precision and recovery. The limits of detection and quantification were 13.05 and 39.56 ng/μL for metformin hydrochloride and 2.65 and 8.03 ng/μL for sitagliptin phosphate, respectively. The amounts of the drugs in the marketed formulation were 99.86% and 98.91% for metformin hydrochloride and sitagliptin phosphate, respectively
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