915 research outputs found

    A New Modified Collection Selection Algorithm using Optimal Term Weight for Web based Applications

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    As the number of electronic data collections available on the internet increases so does the difficulty of finding the right collection for a given query Often the first time user will be overwhelmed by the array of options available and will waste time hunting through pages of collection names followed by time reading results pages after doing an adhoc search Collection selection using optimal weight methods try to solve this problem by suggesting the best subset of collections to search based on a query This is of importance to fields containing large number of electronic collections which undergo frequent change and collections that cannot be fully indexed using traditional methods such as spiders This paper presents a solution to these problems of selecting the best collections and reducing the number of collections needing to be searche

    Influence of gut function, on SIRS and clinical outcomes in surgical patients

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    Background: The GI tract is a highly complex organ system with multitude of functions. Gastrointestinal dysfunction remains an unrecognised clinical entity in day to day clinical practice hence it is possible many patients are inadequately managed resulting in poorer clinical outcomes. Recognising gut failure and early initiation of gut directed therapies may influence clinical outcomes.Aims: This thesis aims to review available literature for importance of gut function and its influence on SIRS and clinical outcomes and investigate the state of gut function and its influence on SIRS and clinical outcomes in surgical patients, further develop a method to optimise gut function and test the influence of this optimisation package on clinical outcomes in elective surgical patients.Methods: A series of clinical studies in elective surgical patients to investigate the influence of gut function on clinical outcomes.Results: Inadequate gut function was common in patients with pancreatitis and the persistent gut failure was associated with SIRS, MODS and poorer clinical outcomes. Critically ill patients with gut failure had increased prevalence of SIRS however this has not resulted in increased mortality or poorer clinical outcome. Elective GI surgical patients developed gut dysfunction in the post operative period more commonly than patients who underwent breast surgery and this was associated with increased prevalence of SIRS and septic morbidity. Optimisation of gut function was associated with early return of gut function and improved clinical outcomes in elective surgical patients.Conclusion: Recognition of gut failure is important in day to day clinical practice and gut failure is associated with poorer outcomes in surgical patients. Gut directed therapy to optimise gut function is associated with improved clinical outcomes

    Thermal Diffusion and Chemical Reaction Effects on Unsteady MHD Dusty Viscous Flow

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    we analysed the soret, radiation and chemical reaction effects on laminar convective flow of a dusty viscous fluid of non conducting walls in presence of transverse magnetic field. The governing equations of the flow are solved by Perturbation Technique. Further, the effects of all physical parameters on the velocities of fluid phase and dust phase, temperature and concentration are analysed and discussed through graphs. Keywords: Dusty Fluid, Laminar flow, MHD, Chemical Reaction, Soret

    Time Delay Induced Death in Coupled Limit Cycle Oscillators

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    We investigate the dynamical behaviour of two limit cycle oscillators that interact with each other via time delayed coupling and find that time delay can lead to amplitude death of the oscillators even if they have the same frequency. We demonstrate that this novel regime of amplitude "death" also exists for large collections of coupled identical oscillators and provide quantitative measures of this death region in the parameter space of coupling strength and time delay. Its implication for certain biological and physical applications is also pointed out.Comment: 4 aps formatted revtex pages; 3 figures; to be published in Phys. Rev. Let

    A Complete Coverage Algorithm for 3D Structural Inspection using an Autonomous Unmanned Aerial Vehicle

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    This thesis presents a novel algorithm for complete coverage of three-dimensional structures to address the problem of autonomous structural inspection using an Unmanned Aerial Vehicle (UAV). The proposed approach uses a technique of cellular decomposition based on Morse decomposition to decompose the 3D target structure into 2D coverable faces that are subsequently connected using a graph-based representation. We then use graph traversal techniques such as the Traveling Salesman Problem (TSP) to generate a flight coverage path through the decomposed faces for a UAV to completely cover the target structure, while reducing the coverage time and distance. To test the validity of our proposed approach, we have performed a series of experiments using a simulated AscTec Firefly UAV in different environments with 3D structures of different sizes and geometries, within the Robot Operating System (ROS) Gazebo simulator. Our results show that our approach guarantees complete coverage of the target structure. Comparison of our coverage strategy with other strategies shows that our proposed TSP-based coverage strategy performs up to 50% better in reducing the flight path with an average of 30% fewer turns and 12% less coverage duration than a largest-area-first approach

    COMPARISON OF STRENGTH, DUCTILITY AND STIFFNESS FOR RADIUS CUT AND STRAIGHT CUT OF REDUCED BEAM SECTION

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    In 1994 there was an earthquake occurred in Northridge, California which caused damage in structures built with Steel Moment Frames (SMF) due to the brittle fractures in the beam and column connections. It has led to the major modifications and improvements in the connection detailing prior to the earthquake occurred in the Northbridge. These changes came up with better materials for welding and introduced the use of cover plate and Reduced Beam Section (RBS). RBS connections are the most widely used connection today and it allows the SMF systems to yield extensively and deform plastically by avoiding brittle fracturing at connections. The most important factors that affect the response along with the design of Steel Moment Frames (SMF) and Reduced Beam Section (RBS) connections are connection strength, stiffness, connection type, use of deep columns and phenomena associated with its instability, the strength of ductility of the column panel zone-beam instability

    An Improved Face Recognition Using Neighborhood Defined Modular Phase Congruency Based Kernel PCA

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    A face recognition algorithm based on NMPKPCA algorithm presented in this paper. The proposed algorithm when compared with conventional Principal component analysis (PCA) algorithms has an improved recognition Rate for face images with large variations in illumination, facial expressions. In this technique, first phase congruency features are extracted from the face image so that effects due to illumination variations are avoided by considering phase component of image. Then, face images are divided into small sub images and the kernel PCA approach is applied to each of these sub images. but, dividing into small or large modules creates some problems in recognition. So a special modulation called neighborhood defined modularization approach presented in this paper, so that effects due to facial variations are avoided. Then, kernel PCA has been applied to each module to extract features. So a feature extraction technique for improving recognition accuracy of a visual image based facial recognition system presented in this paper

    RCS Modeling and Validation of Full Scale Launch Vehicle for its Real Time Dynamic Trajectory

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    Radar Cross Section (RCS) plays a significant role in detecting and tracking the space-based objects such as launch vehicles, missiles, aircrafts etc. In space applications, Radar systems are used to track and provide real-time trajectory information of the satellite launch vehicles after the lift off from the launch pad for range safety purpose. RCS is a critical key parameter that determines tracking performance of the Radar and it is highly dependent on both Radar operating parameters and the target characteristics. For space-based applications, a good quantity of RCS is required for quick detection by the Radar for continuous tracking.  In order to choose the best Radar tracking configuration for real time tracking of the launch vehicle, it is required to model and simulate the launch vehicle’s RCS fluctuations prior to launch in order to predict the real time Signal to Noise Ratio (SNR) for its complete dynamic trajectory. This modeling and simulation methodology will help to choose the optimum Radar configuration for obtaining a good quantity SNR in the real-time launch. This study also provides good guidance to Radar operators for the effective Radar operation during real time space object tracking. This paper demonstrates, the real-time RCS fluctuations of a typical ISRO launch vehicle through simulation for its dynamic trajectory using physical optics based EM software prior to launch. Furthermore, the simulation results are validated with real time monostatic Radar tracking data, which showed good agreement

    Normal Coordinate Treatment of some Pyridines

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    Radiation and Chemical Reaction Effects on Unsteady MHD Free Convective Periodic Heat Transport Modeling In a Saturated Porous Medium for Arotating System

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    A rotating model is extended for a two-dimensional, unsteady, incompressible electrically conducting, laminar immediate convection boundary layer flow of light and mass communicate in a saturated porous crystal ball gazer, among an overall vertical porous surface in the perseverance of radiation and vicious circle effects was considered. The fundamental equations governing the flow are in the art an element of partial differential equations and have been reduced to a inhere of non-linear ordinary differential equations by applying suitable similarity transformations. The problem is tackled analytically using classical two term perturbation technique. Pertinent results with respect to embedded parameters are displayed through graphically for the velocity, Temperature, concentration, skin friction, Sherwood number, Nusselt number are discussed qualitatively
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