2,234 research outputs found

    Enhancing Map Viewing on Symbian Series 60 Smartphones using Camera as 2D Input Device

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    This paper describes a simple implementation of a map viewing application for mobile smartphones that is enhanced by using the camera as a 2D input device. Due to the small screens and tedious input devices found on most mobile phones, this research intends to give users an insightful way of navigating through maps on their mobile phones using a new input technique. The idea is to use your mobile device as a “peephole”/virtual window [3] to a large virtual workspace. An evaluation of this implementation was conducted and the results presented here. The results reject our hypothesis that our new input technique would make navigating maps on small screens easier. However, this result was due mainly to the input mechanism not being responsive enough. The device that this implementation was tested on was an entry level smartphone and thus testing was done using the poorest available camera and slowest processor available. Using higher-end smartphones with higher quality cameras and faster processors could prove to provide better results

    PEALT: an automated reasoning tool for numerical aggregation of trust evidence

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    Assessment of median nerve mobility by ultrasound dynamic imaging in carpal tunnel syndrome diagnosis

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    2013 Joint UffC, EFTF and PFM SymposiumCarpal tunnel syndrome (CTS) is a common entrapment neuropathy. Nerve conduction studies (NCS) have been used as a standard for CTS diagnosis. Complementing NCS, ultrasound imaging provides anatomic information on pathologic changes of the median nerve, such as the reduced median nerve mobility. Motion of median nerve is dependent on mechanical characteristics, and body movements. The purpose of this study was therefore to measure transverse sliding patterns of the median nerve during fingers flexion and extension in ultrasound B-mode images for distinguishing healthy from CTS subjects, and to investigate any correlation between NCS severity and median nerve motion. Transverse ultrasound images were acquired from 19 normal, 15 mild, and 10 severe CTS subjects confirmed by NCS. In two-second acquisition, their fingers were initially in natural position; the median nerve was then moved toward the ulnar side and radius side in fingers flexion and extension, respectively. The displacements of the median nerve were calculated by the multilevel block-matching pyramid algorithm and averaged. All the average displacements at different acquisition times were then accumulated to obtain cumulative displacements, which were curve-fitted by polynomial function. To differentiate the normal from CTS cases, the R-squared, curvature, and amplitude of the fitted curves were computed, to evaluate the goodness, variation, and maximum value of the fit, respectively. Compared to the CTS patients, the normal subjects had higher R-square, curvature, and amplitude estimates. The three parameters were then inputted to a fuzzy c-means algorithm to classify normal cases and CTS ones. The diagnostic efficiency had an accuracy of 93.2%, a specificity of 100%, and a sensitivity of 88%. Further study includes measuring mechanical strain and stress at different neural sites to provide elasticity of the median nerve. © 2013 IEEE.published_or_final_versio

    Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting

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    The smart metering infrastructure has changed how electricity is measured in both residential and industrial application. The large amount of data collected by smart meter per day provides a huge potential for analytics to support the operation of a smart grid, an example of which is energy demand forecasting. Short term energy forecasting can be used by utilities to assess if any forecasted peak energy demand would have an adverse effect on the power system transmission and distribution infrastructure. It can also help in load scheduling and demand side management. Many techniques have been proposed to forecast time series including Support Vector Machine, Artificial Neural Network and Deep Learning. In this work we use Long Short Term Memory architecture to forecast 3-day ahead energy demand across each month in the year. The results show that 3-day ahead demand can be accurately forecasted with a Mean Absolute Percentage Error of 3.15%. In addition to that, the paper proposes way to quantify the time as a feature to be used in the training phase which is shown to affect the network performance

    Low-Cost Virtual Reality System - PC Driven System

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    The concept of Virtual Reality has been around since early 1960s, but the availability and development of Virtual Reality systems were largely limited due to its nature of high cost and difficulty in maintenance. Until recently, thanks to the fast development of the modern technology, the idea of building Virtual Reality system using commodity-off-the-shelf hardware became feasible. By using Personal Computers, we have in this project developed a Low-Cost Distributed Virtual Reality system that is much cheaper, easier to maintain and mobile. In this project, the design of stereo vision, corner projection and distributed architecture had been discussed and applied in the implementation of the Virtual Reality system. User experiment had been conducted. The aim of the user experiment is to test the system for presence level, Slater, Usoh and Steed (SUS) questionnaire was used as an indication to the level of presence. Furthermore, network performance related to scene complexities were also evaluated. From these experiment, we have found that the Virtual Reality system developed creates a good level of presence to the participants and scene complexity would influence the roundtrip time of the network. Lastly, this paper concludes by discussing why the Low-Cost Virtual Reality system developed to be an effective Virtual Reality system

    Low-Cost Virtual Reality System (PS2-driven)

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    A low cost virtual reality system that generates corner projection using three PlayStation2 is presented. Two display stations each connected to one projector is used to provide panoramic view of the VR scene. A control station receives user input and broadcasts the instruction to the two display stations in order to update their respective camera positions and orientations. A demo application which immerses the user inside a glider flying through a night city has also been implemented. We report the performance of our system using random primitives. The benchmark revealed a gradual decline in frame rate in response to polygon counts in the scene. Polygon rate in our system remained near constant and does not vary with the polygon count on the screen. The results indicated for our system, a polygon count of 3540 on the screen with a refresh rate of 24fps is optimum in an interactive environment. Investigation on the relationship between roundtrip time and scene complexity revealed a significant positive correlation of (0.966). This suggests system response to user command can be delayed in a complex virtual environment

    Regional differences in APD restitution can initiate wavebreak and re-entry in cardiac tissue: A computational study

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    Background Regional differences in action potential duration (APD) restitution in the heart favour arrhythmias, but the mechanism is not well understood. Methods We simulated a 150 Ă— 150 mm 2D sheet of cardiac ventricular tissue using a simplified computational model. We investigated wavebreak and re-entry initiated by an S1S2S3 stimulus protocol in tissue sheets with two regions, each with different APD restitution. The two regions had a different APD at short diastolic interval (DI), but similar APD at long DI. Simulations were performed twice; once with both regions having steep (slope > 1), and once with both regions having flat (slope < 1) APD restitution. Results Wavebreak and re-entry were readily initiated using the S1S2S3 protocol in tissue sheets with two regions having different APD restitution properties. Initiation occurred irrespective of whether the APD restitution slopes were steep or flat. With steep APD restitution, the range of S2S3 intervals resulting in wavebreak increased from 1 ms with S1S2 of 250 ms, to 75 ms (S1S2 180 ms). With flat APD restitution, the range of S2S3 intervals resulting in wavebreak increased from 1 ms (S1S2 250 ms), to 21 ms (S1S2 340 ms) and then 11 ms (S1S2 400 ms). Conclusion Regional differences in APD restitution are an arrhythmogenic substrate that can be concealed at normal heart rates. A premature stimulus produces regional differences in repolarisation, and a further premature stimulus can then result in wavebreak and initiate re-entry. This mechanism for initiating re-entry is independent of the steepness of the APD restitution curve

    Non-invasive evaluation of ventricular refractoriness and its dispersion during ventricular fibrillation in patients with implantable cardioverter defibrillator

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    BACKGROUND: Local ventricular refractoriness and its dispersion during ventricular fibrillation (VF) have not been well evaluated, due to methodological difficulties. METHODS: In this study, a non-invasive method was used in evaluation of local ventricular refractoriness and its dispersion during induced VF in 11 patients with VF and/or polymorphic ventricular tachycardia (VT) who have implanted an implantable cardioverter defibrillator (ICD). Bipolar electrograms were simultaneously recorded from the lower oesophagus behind the posterior left ventricle (LV) via an oesophageal electrode and from the right ventricular (RV) apex via telemetry from the implanted ICD. VF intervals were used as an estimate of the ventricular effective refractory period (VERP). In 6 patients, VERP was also measured during sinus rhythm at the RV apex and outflow tract (RVOT) using conventional extra stimulus technique. RESULTS: Electrograms recorded from the RV apex and the lower esophagus behind the posterior LV manifested distinct differences of the local ventricular activities. The estimated VERPs during induced VF in the RV apex were significantly shorter than that measured during sinus rhythm using extra stimulus technique. The maximal dispersion of the estimated VERPs during induced VF between the RV apex and posterior LV was that of 10 percentile VF interval (40 ± 27 ms), that is markedly greater than the previously reported dispersion of ventricular repolarization without malignant ventricular arrhythmias (30–36 ms). CONCLUSIONS: This study verified the feasibility of recording local ventricular activities via oesophageal electrode and via telemetry from an implanted ICD and the usefulness of VF intervals obtained using this non-invasive technique in evaluation of the dispersion of refractoriness in patients with ICD implantation

    A Non-Abelian Self-Dual Gauge Theory in 5+1 Dimensions

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    We construct a non-Abelian gauge theory of chiral 2-forms (self-dual gauge fields) in 6 dimensions with a spatial direction compactified on a circle of radius R. It has the following two properties. (1) It reduces to the Yang-Mills theory in 5 dimensions for small R. (2) It is equivalent to the Lorentz-invariant theory of Abelian chiral 2-forms when the gauge group is Abelian. Previous no-go theorems prohibiting non-Abelian deformations of the chiral 2-form gauge theory are circumvented by introducing nonlocality along the compactified dimension.Comment: 23 pages, reference adde

    Higher incidence of persistent chronic infection of Chlamydia pneumoniae among coronary artery disease patients in India is a cause of concern

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    <p>Abstract</p> <p>Background</p> <p>There is growing evidence that <it>Chlamydia pneumoniae </it>may be involved in the pathogenesis of atherosclerosis, as several studies have demonstrated the presence of the organism in atherosclerotic lesions. <it>C. pneumoniae </it>infections, which are especially persistent infections, have been difficult to diagnose either by serological methods or isolation of the organism from the tissue. Nucleic Acid Amplification tests (NAATs) has emerged as an important method for detecting <it>C. pneumoniae</it>. Inspite of high prevalence of <it>C. pneumoniae </it>specific antibodies in coronary heart disease patients, direct detection of <it>C. pneumoniae </it>in circulating blood of coronary artery disease (CAD) patients by sensitive nucleic acid amplification tests nested PCR (nPCR), multiplex PCR (mPCR) has not been carried out is required. Further correlation of the presence of <it>C. pneumoniae </it>in blood of CAD patients with <it>C. pneumoniae </it>specific IgA and IgG antibodies, which may indicative of the status of infection with the progression of atherosclerosis. This will help in order to prepare strategies for the antibiotic intervention to avoid the progression towards CAD.</p> <p>Methods</p> <p>Venous blood was obtained from 91 CAD patients and 46 healthy controls. Nucleic acid amplification tests <it>viz</it>. nested -, semi-nested – and multiplex PCR were used for detection of <it>C. pneumoniae</it>. ELISA carried out prevalence of <it>C. pneumoniae </it>specific IgG and IgA antibodies.</p> <p>Results</p> <p>29.67% (27/91) patients were positive for <it>C. pneumoniae </it>using nested PCR. The sensitivity and specificity of semi-nested and multiplex PCR were 37.03%, 96.96% and 22.22%, 100% with respect to nested PCR. Positive nPCR patients were compared with presence of <it>C. pneumoniae </it>specific IgA, IgA+IgG and IgG antibodies. Among 27 (29.67%) nPCR <it>C. pneumoniae </it>positive CAD patients, 11(12%) were IgA positive, 13(14.2%) were IgA+IgG positive and only1 (1.1%) was IgG positive. A significant presence of <it>C. pneumoniae </it>was detected in heavy smokers, non-alcoholics and with family histories of diabetes and blood pressure group of CAD patients by nPCR.</p> <p>Conclusion</p> <p>The results indicate synergistic association of <it>C. pneumoniae </it>infection and development of CAD with other risk factors. We also detected increased positivity for <it>C. pneumoniae </it>IgA than IgG in nPCR positive CAD patients. Positive nPCR findings in conjunction with persisting high <it>C. pneumoniae </it>specific antibody strongly suggest an ongoing infection.</p
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