909 research outputs found

    Brain clocks for morning and evening behaviour

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    Applying Soft Computing Approaches to Predict Defect Density in Software Product Releases: An Empirical Study

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    There is non-linear relationship between software metrics and defects, which results to a complex mapping. Therefore, to focus on the defect density area, it is a critical business requirement of effective and practical approach, which can help find the defect density in software releases. Soft computing provides a better platform to solve the non-linear and complex mapping problem. The aim of this paper is to formulate, build, evaluate, validate and compare two main sections of soft computing, fuzzy logic and artificial neural network approaches in prediction of defect density of subsequent software product releases. In this research, these two approaches are formulated and applied to predict the existence of a defect in file of software release. Both approaches have also been validated against various releases of two commercial software product release data sets. The validation criteria include mean absolute error, root mean square error and graphical analysis. The analysis of the study shows that artificial neural network provides better results compared to Fuzzy Inference System; but applicability of best approach depends on the data availability and the quantum of data

    Metric dimension of line graph of the subdivision of the graphs of convex polytopes

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    The metric generator for the simple connected graph Γ is the set of vertices Y ⊆ V(Γ) with the property that every pair of vertices u, v(u 6= v) ∈ V are determined (or resolved) by some vertex of Y. The minimum possible cardinality of this metric generator is called the metric dimension of Γ, denoted by dim(Γ)or β(Γ). In this article, we determine the exact metric dimension and some other properties of the line graph of the subdivision graph of the graph of convex polytope Dn (exists in the literature).Publisher's Versio

    On the metric dimension of a class of planar graphs

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    Let H = (V, E) be a non-trivial connected graph with vertex set V and edge set E. A set of ordered vertices Rm from V (H) is said to be a resolving set for H if each vertex of H is uniquely determined by its vector of distances to the vertices of Rm. The number of vertices in a smallest resolving set is called the metric dimension of H. In this article, we study the metric dimension for a rotationally symmetric family of planar graphs, each of which is shown to have an independent minimum resolving set of cardinality three.Publisher's Versio

    FUTURISTIC SCPOPE OF BIOMARKERS IN TUBERCULOSIS

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    ABSTRACTOne of the major causes of the mortality from single infectious agent, tuberculosis (TB) is prevalent worldwide. India has the highest number of TBcases in the world. It is the leading cause of death, because of its high mortality and morbidity because of the disease. Reason lies in the emergenceof multidrug-resistant TB strains, and the HIV infection, which reactivates the latent TB making it more severe. Moreover, failure to diagnose TBearly remains one of the primary hurdles in controlling of the disease. TB is a potentially hazardous infectious disease attacks various organs, mainlyaffecting lungs. The bacteria causing TB are spread from one person to another. Tiny droplets released into the air via coughs and sneezes lead to thepassage of infection. The disease is generally diagnosed by its symptoms, radiographic methods, and sputum smear microscopy and by cultivation ofthe Mycobacterium tuberculosis, which is considered as gold standard. Current advances in molecular biology and molecular epidemiology and a betterunderstanding of drug resistance in TB have given a new horizon to its rapid diagnosis. However, the cost-effective techniques, and their requirementfor sophisticated equipment and skilled personals have excluded their implementation on a routine basis, especially in low-income countries.Keywords: Biochemical markers, Tuberculosis, Microbiological tuberculosis

    Changing patterns of first medical contact management profile of corneal ulcers in a developing country: a hospital-based study

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    Background: Infectious keratitis is a major cause of corneal blindness throughout the world. There are guidelines and protocols for management of infectious keratitis, but these are rarely practiced by the treating physician. The aim of this study is to find the first medical contact management profile in a tertiary care Centre in north India and compare it to the previous studies to see the changing patterns of first contact management in our country.Methods: The data for the study was collected by retrospective data review of 100 consecutive patients with infectious keratitis. Various parameters were studied and statistical correlation established, where it was felt necessary. The parameters were age and sex distribution, first medical contact, initial treatment prescribed, time interval for first medical contact, inciting factors for corneal ulcer, bacterial and fungal culture spectrum, visual recovery after medical and surgical treatment.Results: Data review of 100 consecutive patients with infectious keratitis was done. More than 70% of patients were above 40 years of age. In 54% of patients, no inciting agent could be identified. The first medical contact for majority of patients was ophthalmologists in independent practice (48%). Time interval for first contact to any health professional varied from one day to 75 days with mean 4.63 days. Moxifloxacin hydrochloride   eye drops was the most commonly used drug.   Staphylococcus epidermidis was the commonest isolate grown in the culture (38.9%).Conclusions: Early diagnosis and appropriate management of infectious keratitis is important and role of first medical contact of patient is most crucial in final outcome

    On the orbits of some metabelian groups

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    In this study, the orbits of non abelian metabelian groups of order 26, 28 and 30 are found using conjugation action. The non abelian metabelian groups considered in this study are some dihedral groups D₁₃, D₁₄ and D₁₅ as well as the semidirect products D₇ × Z₂, D₅ × Z₃ and D₃ × Z₅. In order to obtain the orbit, the set of all pairs of commuting elements of the groups of size two is found. The results obtained from the orbits are then applied into an extension of commutativity degree which is the probability that an element of the groups fixes a set. Finally, the generalized conjugacy class graph is constructed and its chromatic number and clique number are also found.Publisher's Versio

    Optimization Techniques For Low Energy Consumption In Green Cloud Computing

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    Computing in the cloud can assist businesses in shifting their focus to the development of solid business applications that will bring about genuine value to the businesses. Green computing, often known as environmentally sustainable computing, is the definition of green computing. It is a reference to the efforts that are made to maximise the usage of power consumption & energy efficiency while simultaneously minimising the cost & the amount of CO2 emission. To conduct a study on optimisation techniques & procedures that assist us in optimising low energy consumption & evaluating multiple parameters in order to obtain the desired output is the primary purpose of this research. Energy-Conscious Multisite Computation Offloading Techniques (EMOGC) for Green Cloud Computing is the methodology that was utilised throughout this project. Simulation & analysis are presented in The Energy-Conscious Multisite Computation Offloading Techniques for Green Cloud Computing in order to investigate time-efficient scheduling on multisite, which is responsible for optimising energy, time, & cost at the optimum time. This strategy seeks to finish the application within the allotted amount of time while also consuming as little power as feasible from the connected devices. According to the findings of this research, it is clear that the explored technique is effective in obtaining high throughput (HT) while simultaneously minimising the execution time, which in turn enhances the data rate in Green Cloud Computing (GCC)
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