993 resultados para line-out


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Fitting a linear regression to data provides much more information about the relationship between two variables than a simple correlation test. A goodness of fit test of the line should always be carried out. Hence, ‘r squared’ estimates the strength of the relationship between Y and X, ANOVA whether a statistically significant line is present, and the ‘t’ test whether the slope of the line is significantly different from zero. In addition, it is important to check whether the data fit the assumptions for regression analysis and, if not, whether a transformation of the Y and/or X variables is necessary.

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1. Fitting a linear regression to data provides much more information about the relationship between two variables than a simple correlation test. A goodness of fit test of the line should always be carried out. Hence, r squared estimates the strength of the relationship between Y and X, ANOVA whether a statistically significant line is present, and the ‘t’ test whether the slope of the line is significantly different from zero. 2. Always check whether the data collected fit the assumptions for regression analysis and, if not, whether a transformation of the Y and/or X variables is necessary. 3. If the regression line is to be used for prediction, it is important to determine whether the prediction involves an individual y value or a mean. Care should be taken if predictions are made close to the extremities of the data and are subject to considerable error if x falls beyond the range of the data. Multiple predictions require correction of the P values. 3. If several individual regression lines have been calculated from a number of similar sets of data, consider whether they should be combined to form a single regression line. 4. If the data exhibit a degree of curvature, then fitting a higher-order polynomial curve may provide a better fit than a straight line. In this case, a test of whether the data depart significantly from a linear regression should be carried out.

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Some critical aspects of a new kind of on-line measurement technique for micro and nanoscale surface measurements are described. This attempts to use spatial light-wave scanning to replace mechanical stylus scanning, and an optical fibre interferometer to replace optically bulky interferometers for measuring the surfaces. The basic principle is based on measuring the phase shift of a reflected optical signal. Wavelength-division-multiplexing and fibre Bragg grating techniques are used to carry out wavelength-to-field transformation and phase-to-depth detection, allowing a large dynamic measurement ratio (range/resolution) and high signal-to-noise ratio with remote access. In effect the paper consists of two parts: multiplexed fibre interferometry and remote on-machine surface detection sensor (an optical dispersive probe). This paper aims to investigate the metrology properties of a multiplexed fibre interferometer and to verify its feasibility by both theoretical and experimental studies. Two types of optical probes, using a dispersive prism and a blazed grating, respectively, are introduced to realize wavelength-to-spatial scanning.

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Recently researchers have started to investigate the cognitive strategic orientations of individual top managers and have pointed out these may be key in determining the direction and success of their organizations in terms of performance, but they have been unable to effectively operationalize this notion in empirical research and this is holding up knowledge development. To make a contribution that helps overcome this limitation a theoretical framework is developed which specifies the different possible cognitive strategic orientations of top managers as well as those of managers at lower organizational levels involved in the strategy process. This theoretical framework is investigated in the empirical phase of the study into strategic orientations in practice. Additional contributions to knowledge of strategic orientation are made in three main domains. Firstly, current knowledge of strategic orientation is largely limited to analysis at the level of the firm whereas there is a lack of understanding of any relationships with practice at lower organizational levels. The exploratory research undertaken for this thesis contributes to new knowledge of different rational, developmental and interactive strategic orientations of front-line managers and this contributes to a cognitive explanation for emergent strategy linked to strategy processes embedded in practice. In theorising the presence of different strategic orientations in practice the discussion highlights the importance of network and spatial embeddedness within enacted environments. Secondly, a contribution to further knowledge of the links between strategy processes and the content of strategies within a retail context is made. The research highlights different strategy processes used in practice by retail front-line managers in a branch network of stores and these are linked to consequences such as different objectives, performance expectations and the fulfilment of personal goals. Thirdly, a contribution to research methodology is made by addressing problems associated with the comparison of cognitive maps.

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The work presented in this thesis was undertaken to increase understanding of the intracellular mechanisms regulating acid secretion by gastric parietal cells. Investigation of the effects of protein kinase C on secretory activity induced by a variety of agents was a major objective. A further aim was to establish the sites at which epidermal growth factor (EGF) acts to stimulate prostaglandin E2 (PGE2) production and to inhibit acid secretion. These investigations were carried out by using the HGT-1 human gastric cancer cell line and freshly isolated rat parietal cells. In HGT-1 cells, the cyclic AMP response to histamine and to truncated glucagon-like peptide 1 (TGLP-1) was reduced when protein kinase C was activated by 12-0-tetradecanoylphorbol 13-acetate (TPA). Receptor-binding studies and experiments in which cyclic AMP production in HGT-1 cells was stimulated by gastric inhibitory polypeptide, cholera toxin and forskolin suggested that the effect of TPA was mediated by uncoupling of the histamine H2 receptor from the guanine nucleotide regulatory protein Gs, possibly by phosphorylation of the receptor. An involvement of protein kinase C α in this effect was suggested because an antibody to this isoform specifically prevented the inhibitory effects of TPA on histamine-stimulated adenylate cyclase activity in a membrane fraction prepared from HGT-1 cells. Carbachol-stimulated secretory activity in parietal cells was specifically inhibited by Ro 31-8220, a bisindolylmaleimide inhibitor of protein kinase C. Thus protein kinase C may play a role in the activation of the secretory response to carbachol. In parietal cells prelabelled with [3H]-arachidonic acid or [3H]myristic acid, EGF did not affect [3H]-fatty acid or [3H] - diacylglycerol content. No evidence for effects of EGF on phosphatidylinositol glycan-specific phospholipase C, phospholipase A2 or on low Km cyclic AMP phosphodiesterase activities were found.

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This industrial based research project was undertaken for British Leyland and arose as a result of poor system efficiency on the Maxi and Marina vehicle body build lines. The major factors in the deterioration of system efficiency were identified as: a) The introduction of a 'Gateline' system of vehicle body build. b) The degeneration of a newly introduced measured daywork payment scheme. By relating the conclusions of past work on payment systems to the situation at Cowley, it was concluded that a combination of poor industrial relations and a lack of managerial control had caused the measured daywork scheme to degenerate into a straightforward payment for time at work. This ellminated the monetary incentive to achieve schedule with the consequence that both inefficiency and operating costs increased. To analyse further the cause of inefficiency, a study of Marina gateline stoppage logs was carried out. This revealed that poor system efficiency on the gateline was caused more by the nature of its design than poor reliability on individual items of' plant. The consideration given to system efficiency at the design stage was found to be negligible, the main obstacles being: a) A lack of understanding pertaining to the influence of certain design factors on the efficiency of a production line. b) The absence of data and techniques to predict system efficiency at the design stage. To remedy this situation, a computer simulation study of' the design factors was carried out from which relationships with system efficiency were established and empirical efficiency equations developed. Sets of tables were compiled from the equations and efficiency data relevant to vehicle body building established from the gateline stoppage logs. Computer simulation, the equations and the tables,when used in conjunction. with good efficiency data, are shown to be accurate methods of predicting production line system.efficiency.

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This thesis begins by providing a review of techniques for interpreting the thermal response at the earth's surface acquired using remote sensing technology. Historic limitations in the precision with which imagery acquired from airborne platforms can be geometrically corrected and co-registered has meant that relatively little work has been carried out examining the diurnal variation of surface temperature over wide regions. Although emerging remote sensing systems provide the potential to register temporal image data within satisfactory levels of accuracy, this technology is still not widely available and does not address the issue of historic data sets which cannot be rectified using conventional parametric approaches. In overcoming these problems, the second part of this thesis describes the development of an alternative approach for rectifying airborne line-scanned imagery. The underlying assumption that scan lines within the imagery are straight greatly reduces the number of ground control points required to describe the image geometry. Furthermore, the use of pattern matching procedures to identify geometric disparities between raw line-scanned imagery and corresponding aerial photography enables the correction procedure to be almost fully automated. By reconstructing the raw image data on a truly line-by-line basis, it is possible to register the airborne line-scanned imagery to the aerial photography with an average accuracy of better than one pixel. Providing corresponding aerial photography is available, this approach can be applied in the absence of platform altitude information allowing multi-temporal data sets to be corrected and registered.

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Some critical aspects of a new kind of on-line measurement technique for micro and nanoscale surface measurements are described. This attempts to use spatial light-wave scanning to replace mechanical stylus scanning, and an optical fibre interferometer to replace optically bulky interferometers for measuring the surfaces. The basic principle is based on measuring the phase shift of a reflected optical signal. Wavelength-division-multiplexing and fibre Bragg grating techniques are used to carry out wavelength-to-field transformation and phase-to-depth detection, allowing a large dynamic measurement ratio (range/resolution) and high signal-to-noise ratio with remote access. In effect the paper consists of two parts: multiplexed fibre interferometry and remote on-machine surface detection sensor (an optical dispersive probe). This paper aims to investigate the metrology properties of a multiplexed fibre interferometer and to verify its feasibility by both theoretical and experimental studies. Two types of optical probes, using a dispersive prism and a blazed grating, respectively, are introduced to realize wavelength-to-spatial scanning.

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Abstract A new LIBS quantitative analysis method based on analytical line adaptive selection and Relevance Vector Machine (RVM) regression model is proposed. First, a scheme of adaptively selecting analytical line is put forward in order to overcome the drawback of high dependency on a priori knowledge. The candidate analytical lines are automatically selected based on the built-in characteristics of spectral lines, such as spectral intensity, wavelength and width at half height. The analytical lines which will be used as input variables of regression model are determined adaptively according to the samples for both training and testing. Second, an LIBS quantitative analysis method based on RVM is presented. The intensities of analytical lines and the elemental concentrations of certified standard samples are used to train the RVM regression model. The predicted elemental concentration analysis results will be given with a form of confidence interval of probabilistic distribution, which is helpful for evaluating the uncertainness contained in the measured spectra. Chromium concentration analysis experiments of 23 certified standard high-alloy steel samples have been carried out. The multiple correlation coefficient of the prediction was up to 98.85%, and the average relative error of the prediction was 4.01%. The experiment results showed that the proposed LIBS quantitative analysis method achieved better prediction accuracy and better modeling robustness compared with the methods based on partial least squares regression, artificial neural network and standard support vector machine.

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Kimutatható-e az e-kereskedelem hatása a vállalati teljesítményre a recesszióval küzdő magyar kiskereskedelmi piacon? A hagyományos bolti értékesítés vagy on-line kereskedelem vezet hazánkban jobb pénzügyi teljesítményhez? Ezekre a kérdésekre a magyar IKT (infokommunikációs technológiai) kiskereskedők 187 elemű mintáján igyekeznek a szerzők választ keresni, az adatgyűjtést újszerű módon részben automatizált webpókokra bízva, következtetéseiket pedig elsősorban klaszterelemzési technikákra építve. Megállapítják, hogy bár a legjobb bolti kereskedők többnyire valamivel nagyobb és stabilabb profitrátákkal jellemezhetők a válság éveiben is, a piac megtartása és növelése terén már egyértelműen az e-kereskedők jeleskedtek. Eredményeik szerint az e-kereskedelem hozzásegítheti a kiskereskedőket a munkaerő-hatékonyság növeléséhez is, ám ha gyors rendelkezésre állással vagy alacsony árakkal csábítják vevőiket, akkor a profittöbblet egy részét felőrölheti a magasabb készlettartási igény vagy az árverseny. _____ The study examines whether e-commerce has a significant impact on corporate performance on the Hungarian retail market struggling with the effects of economic downturn. Is it brick-and-mortal retail or e-commerce that leads to a better financial performance? Using the innovative data gathering tools of automotive web crawlers the authors seek answers to these questions on a sample of 187 Hungarian ICT retailers. Based on cluster analysis they conclude that while the best traditional retailers have somewhat higher and more stable profitability ratios even during the years of recession, e-tailers are more successful in retaining and increasing their market share. E-commerce is also associated with higher human resource productivity, but the possible profit surplus originating from this advantage could be jeopardized in the long run as new electronic traders typically attract their customers by shorter service time or lower prices.

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A mindennapi, szinte folyamatos jelenlét a hálózaton számos melléktermékkel jár. Minden bejelentkezés, üzenet, vásárlás, akció adatok tömegét hagyja az interneten. A cikkben arra kívánnak a szerzők rámutatni, hogy ezeket az adatokat valaki vagy valakik összegyűjthetik, és esetleg olyasmire is használhatják, amihez nem járulnánk hozzá, ha ezt megkérdeznék. A szerzők nem foglalkoznak a rosszindulatú, esetleg bűntények elkövetésének céljára történő illegális adatgyűjtéssel, illetve -hasznosítással, azt kívánták bemutatni, hogy teljesen legális, ún. „white hat” eszközökkel is tartalmas felhasználói profilt lehet összeállítani. Szót ejtenek arról is, hogyan lehet megnehezíteni azok dolgát, akik rólunk szeretnének információt gyűjteni. ____ Everyday, almost continuous presence on the web results number of by-products. Each login, message, shopping, action leaves mass of data on the internet. In this article, the authors wish to point out that these data may be collected by somebody or somebodies. They wanted to introduce you that a meaningful user profile can be compiled by completely legal, so-called „White hat”tools. It also notes about how you can make more difficult their job, who would like to collect information from us.

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This project was carried out during CD’s BBSRC Eastbio PIPS placement at Marine Scotland. The authors are grateful to Dr Milena Monte (University of Aberdeen) for help with the FACS analysis. The authors wish to thank Dr Filippo Del Bene (Neuronal Circuit Development, Institut Curie) and Dr Wenbiao Chen (School of Medicine, Vanderbilt University) for the Addgene plasmids, #61051 and #47929, respectively, and Prof. Nancy C. Reich Marshall (Department of Molecular Genetics and Microbiology, Stony Brooks University) for the plasmid pmEGFP-N1.

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This project was carried out during CD’s BBSRC Eastbio PIPS placement at Marine Scotland. The authors are grateful to Dr Milena Monte (University of Aberdeen) for help with the FACS analysis. The authors wish to thank Dr Filippo Del Bene (Neuronal Circuit Development, Institut Curie) and Dr Wenbiao Chen (School of Medicine, Vanderbilt University) for the Addgene plasmids, #61051 and #47929, respectively, and Prof. Nancy C. Reich Marshall (Department of Molecular Genetics and Microbiology, Stony Brooks University) for the plasmid pmEGFP-N1.

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Attention-deficit hyperactivity disorder (ADHD) is the most prevalent and impairing neurodevelopmental disorder, with worldwide estimates of 5.29%. ADHD is clinically characterized by hyperactivity-impulsivity and inattention, with neuropsychological deficits in executive functions, attention, working memory and inhibition. These cognitive processes rely on prefrontal cortex function; cognitive training programs enhance performance of ADHD participants supporting the idea of neuronal plasticity. Here we propose the development of an on-line puzzle game based assessment and training tool in which participants must deduce the ‘winning symbol’ out of N distracters. To increase ecological validity of assessments strategically triggered Twitter/Facebook notifications will challenge the ability to ignore distracters. In the UK, significant cost for the disorder on health, social and education services, stand at £23m a year. Thus the potential impact of neuropsychological assessment and training to improve our understanding of the pathophysiology of ADHD, and hence our treatment interventions and patient outcomes, cannot be overstated.

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With the quick advance of web service technologies, end-users can conduct various on-line tasks, such as shopping on-line. Usually, end-users compose a set of services to accomplish a task, and need to enter values to services to invoke the composite services. Quite often, users re-visit websites and use services to perform re-occurring tasks. The users are required to enter the same information into various web services to accomplish such re-occurring tasks. However, repetitively typing the same information into services is a tedious job for end-users. It can negatively impact user experience when an end-user needs to type the re-occurring information repetitively into web services. Recent studies have proposed several approaches to help users fill in values to services automatically. However, prior studies mainly suffer the following drawbacks: (1) limited support of collecting and analyzing user inputs; (2) poor accuracy of filling values to services; (3) not designed for service composition. To overcome the aforementioned drawbacks, we need maximize the reuse of previous user inputs across services and end-users. In this thesis, we introduce our approaches that prevent end-users from entering the same information into repetitive on-line tasks. More specifically, we improve the process of filling out services in the following 4 aspects: First, we investigate the characteristics of input parameters. We propose an ontology-based approach to automatically categorize parameters and fill values to the categorized input parameters. Second, we propose a comprehensive framework that leverages user contexts and usage patterns into the process of filling values to services. Third, we propose an approach for maximizing the value propagation among services and end-users by linking a set of semantically related parameters together and similar end-users. Last, we propose a ranking-based framework that ranks a list of previous user inputs for an input parameter to save a user from unnecessary data entries. Our framework learns and analyzes interactions of user inputs and input parameters to rank user inputs for input parameters under different contexts.