The Signal Data Explorer: A high performance Grid based signal search tool for use in distributed diagnostic applications

We describe a high performance Grid based signal search tool for distributed diagnostic applications developed in conjunction with Rolls-Royce plc for civil aero engine condition monitoring applications. With the introduction of advanced monitoring technology into engineering systems, healthcare, etc., the associated diagnostic processes are increasingly required to handle and consider vast amounts of data. An exemplar of such a diagnosis process was developed during the DAME project, which built a proof of concept demonstrator to assist in the enhanced diagnosis and prognosis of aero-engine conditions. In particular it has shown the utility of an interactive viewing and high performance distributed search tool (the Signal Data Explorer) in the aero-engine diagnostic process. The viewing and search techniques are equally applicable to other domains. The Signal Data Explorer and search services have been demonstrated on the Worldwide Universities Network to search distributed databases of electrocardiograph data

Dual-mobility cup total hip arthroplasty improves the quality of life compared to internal fixation in femoral neck fractures patients with severe neuromuscular disease in the lower extremity after stroke: a retrospective study

BackgroundThis study aimed to demonstrate that dual-mobility cup total hip arthroplasty (DMC-THA) can significantly improve the quality of life (QOL) of elderly femoral neck fracture patients with severe neuromuscular disease in unilateral lower extremities due to stroke hemiplegia compared to internal fixation (IF).MethodsFifty-eight cases of severe neuromuscular disease in the unilateral lower extremities with muscle strength < grade 3/5 due to stroke were retrospectively examined From January 2015 to December 2020. Then, patients were divided into DMC and IF groups. The QOL was examined using the EQ-5D and SF-36 outcome measures. The physical and mental statuses were assessed using the Barthel Index (BI) and e Fall Efficacy Scale-International (FES-I), respectively.ResultsPatients in the DMC group had higher BI scores than those in the IF group at different time point. Regarding mental status, the FES-I mean score was 42.1 ± 5.3 in the DMC group and 47.3 ± 5.6 in the IF group (p = 0.002). For the QOL, the mean SF-36 score was 46.1 ± 18.3 for the health component and 59.5 ± 15.0 for the mental component in the DMC group compared to 35.3 ± 16.2 (p = 0.035), and 46.6 ± 17.4 (p = 0.006) compared to the IF group. The mean EQ-5D-5L values were 0.733 ± 0.190 and 0.303 ± 0.227 in the DMC and IF groups (p = 0.035), respectively.ConclusionDMC-THA significantly improved postoperative QOL compared to IF in elderly patients with femoral neck fractures and severe neuromuscular dysfunction in the lower extremity after stroke. The improved outcomes were related to the enhanced early, rudimentary motor function of patients

SARS-CoV Infection in a Restaurant from Palm Civet

Contact with food animals was associated with SARS-CoV infection in the People’s Republic of China

ヨウキョク サンカ ショリシタ チタン キンゾク ノ ウサギ タイナイ コツ ケツゴウノウ ノ ソシキガク リキガク ヒョウカ

京都大学0048新制・課程博士博士(医学)甲第11444号医博第2867号新制||医||896(附属図書館)23087UT51-2005-D194京都大学大学院医学研究科外科系専攻(主査)教授 戸口田 淳也, 教授 開 祐司, 教授 岩田 博夫学位規則第4条第1項該当Doctor of Medical ScienceKyoto UniversityDA

Visual Navigation using Planar Homographies

We introduce three new results, which allow homographies of the ground plane to support visual navigation functions for mobile robots using uncalibrated cameras. Firstly, we illustrate how, for pure translation, a homography can be computed from just two pairs of corresponding corner features. Secondly, we show how, for pure translation, we can determine the height of corner features above the ground plane using the recovered homography and a construct based on the cross ratio. This allows us to detect points which can be driven over, as their height is measured to be close to zero, and points which are su#ciently high to drive under. Finally, we show how, in the case of general planar motion, homographies can be used to determine the rotation of the camera and robot

Mobile robot visual navigation using multiple features

<p/> <p>We propose a method to segment the ground plane from a mobile robot's visual field of view and then measure the height of nonground plane features above the mobile robot's ground plane. Thus a mobile robot can determine what it can drive over, what it can drive under, and what it needs to manoeuvre around. In addition to obstacle avoidance, this data could also be used for localisation and map building. All of this is possible from an uncalibrated camera (raw pixel coordinates only), but is restricted to (near) pure translation motion of the camera. The main contributions are (i) a novel reciprocal-polar (RP) image rectification, (ii) ground plane segmentation by sinusoidal model fitting in RP-space, (iii) a novel projective construction for measuring affine height, and (iv) an algorithm that can make use of a variety of visual features and therefore operate in a wide variety of visual environments.</p

A method of visual metrology from uncalibrated images

A method of measuring the height of any feature above a reference plane from a pair of uncalibrated images, separated by a (near) pure translation is presented. The output of the algorithm is a feature height, expressed as a fraction of the height of the camera above the reference plane. There are three contributions. Firstly a robust method of computing the dual epipole or focus of expansion (FOE) under pure translation is presented. Secondly, a novel reciprocal-polar (RP) image rectification scheme is presented, which allows planar image motion, expressed as a planar homography, to be accurately detected and recovered by 1D correlation. The technique can work even when there are no corner features on the reference plane and even over large image distortions caused by large camera motion, which would cause correlation techniques in the original image space to fail. Thirdly, we present a projective construct to enable measurement of the relative (or affine) feature height. Results show that our algorithm performs very well against outliers and noise. The mean of absolute error is 1.8 mm, and the mean of relative error is only 0.13 % with two outliers removed