7 research outputs found
Development of a virtual reality milling machine for knowledge learning and skill training
Get PDFCurrent methods of training personnel on high cost machine tools involve the use of both classroom and hands on practical training. The practical training required the operation of costly equipment and the trainee has to be under close personnel supervision. The main aim of this project is to reduce the amount of practical training and its inherent cost, time, danger, personal injury risk and material requirements by utilising a virtual reality technology.
In this study, an investigation into the use of Virtual reality for training operators and students to use the Milling Machine was carried out. The investigation has been divided into two sections: first the development of Milling Machine in the 3D virtual environment, where the real machine was re-constructed in the virtual space.
This has been carried out by creating objects and assembling them together. The complete Milling machine was then properly modelled and rendered so it could be viewed from all viewpoints.
The second section was to add motion to the virtual world. The machine was made of functions as for the real machine. This was achieved by attaching Superscape Control Language (SCL) to the objects. The developed Milling machine allows the users to choose the material, speed and feed rate. Upon activation, the virtual machine will be simulated to carry out the machining process and instantaneous data on the machined part can be generated.
The results were satisfactory, the Milling Machine was modelled successfully and the machine was able to perform according to task set. Using the developed Virtual Model, the ability for training students and operators to use the Milling Machine has been achieved
Technical performance and diagnostic utility of the new Elecsys (R) neuron-specific enolase enzyme immunoassay
Get PDFThis international multicenter study was designed to evaluate the technical performance of the new double-monoclonal, single-step Elecsys neuron-specific enolase (NSE) enzyme immunoassay (EIA) and to assess its utility as a sensitive and specific test for the diagnosis of small-cell lung cancer (SCLC). Intra and interassay coefficients of variation, determined in five control or serum specimens in six laboratories, ranged from 0.7 to 5.3 (interlaboratory median: 1.3%) and from 1.3 to 8.5 (interlaboratory median: 3.4%), respectively. Laboratory-to-laboratory comparability was excellent with respect to recovery and interassay coefficients of variation. The test was linear between 0.0 and 320 ng/ml (highest measured concentration). There was a significant correlation between NSE concentrations measured using the Elecsys NSE and the established Cobas Core NSE EIA II in all subjects (n=723) and in patients with lung cancer (n=333). However, NSE concentrations were systematically lower (approximately 9%) with the Elecsys NSE than with the comparison test. Based on a specificity of 95% in comparison with the group suffering from benign lung diseases (n=183), the cutoff value for the discrimination between malignant and benign conditions was set at 21.6 ng/ml. NSE was raised in 73.4% of SCLC patients (n=188) and was significantly higher (p<0.01) in extensive (87.8%) as opposed to limited disease (56.7%). NSE was also elevated in 16.0% of the cases with non-small cell lung cancer (NSCLC, n=374). It is concluded that the Elecsys NSE EIA is a reliable and accurate diagnostic procedure for the measurement of NSE in serum samples. The special merits of this new assay are the wide measuring range (according to manufacturers declaration up to 370 ng/ml) and a short incubation time of 18 min
Attentional and executive dysfunction as predictors of smoking within the childhood cancer survivor study cohort
No full textIntroduction: Previous research has suggested that childhood cancer survivors initiate smoking at rates approaching those of healthy individuals, even though smoking presents unique risks to survivors. The present study explores whether the attentional and executive functioning (EF) deficits associated with cancer and treatment place survivors of childhood cancer at increased risk for smoking. Methods: Data from the Childhood Cancer Survivor Study were examined to identify concurrent and longitudinal correlates of tobacco use. We explored whether childhood attention problems and adulthood executive dysfunction were associated with smoking among adult survivors of childhood cancer. Results: Childhood attention problems emerged as a striking predictor of adult smoking nearly a decade later on average. Nearly half (40.4%) of survivors who experienced attention problems in childhood reported a history of smoking, a significantly higher rate of ever smoking, than reported by those without childhood attention problems (relative risk [RR] = 1.53, 95% CI = 1.31-1.79). Furthermore, they were nearly twice as likely to be current smokers in adulthood compared with those without childhood attention problems (RR = 1.71, 95% CI = 1.38-2.11). Similar associations were found between components of adult executive dysfunction and adult smoking. Discussion: Childhood cancer and treatment are associated with subsequent deficits in attention and EF. Early detection of orgthese deficits will allow clinicians to identify patients who are at increased risk for smoking, an important step in promoting and maintaining health in this medically vulnerable population. © The Author 2010
A framework for sign language recognition using support vector machines and active learning for skin segmentation and boosted temporal sub-units
Get PDFThis dissertation describes new techniques that can be used in a sign language recognition (SLR) system, and more generally in human gesture systems. Any SLR system consists of three main components: Skin detector, Tracker, and Recognizer. The skin detector is responsible for segmenting skin objects like the face and hands from video frames. The tracker keeps track of the hand location (more specifically the bounding box) and detects any occlusions that might happen between any skin objects. Finally, the recognizer tries to classify the performed sign into one of the sign classes in our vocabulary using the set of features and information provided by the tracker.
In this work, we propose a new technique for skin segmentation using SVM (support vector machine) active learning combined with region segmentation information. Having segmented the face and hands, we need to track them across the frames. So, we have developed a unified framework for segmenting and tracking skin objects and detecting occlusions, where both components of segmentation and tracking help each other. Good tracking helps to reduce the search space for skin objects, and accurate segmentation increases the overall tracker accuracy.
Instead of dealing with the whole sign for recognition, the sign can be broken down into elementary subunits, which are far less in number than the total number of signs in the vocabulary. This motivated us to propose a novel algorithm to model and segment these subunits, then try to learn the informative combinations of subunits/features using a boosting framework. Our results reached above 90% recognition rate using very few training samples
The 7Ms pedagogy model: Instructional design for learners with Attention-Deficit Hyperactivity Disorder
Get PDFThis thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.This study presents a new framework for designing pedagogy in an informed and controlled way. It considers the importance of progression of pedagogy during a learning episode, so that an instructor can modify the pedagogical approach as well as the content in a lesson. The significance and novelty of this research lie in the proposals to provide support for ADHD learners and assist them to overcome their academic weaknesses/challenges through appropriate pedagogically sound interventions. Therefore, in order to contribute to the development of a suitable pedagogical approach for children who diagnosed with ADHD, issues of having ADHD are discussed within the scope of the research. In this respect, an aetiological model of ADHD has been developed to identify different levels of impairments as well as to clarify areas in which educational pedagogies must address the limitations of ADHD learners. Early stage results described here consider evidence to determine the viability of two literature-based models, named the ‘6Ms pedagogy model’ and the ‘aetiological model of ADHD’. In identifying the need to explore an accurate pedagogical model for ADHD children, two models have been evaluated. The analysis is based on a combination of secondary analysis, qualitative, and quantitative data analysis, which covered data, collected from expert advice, including that from professionals, coaches, and teachers and from those involved in the education of learners with ADHD and parents. Evidence from findings on ADHD is married to a new model of pedagogy named the ‘7Ms pedagogy model’. The ADHD pedagogical model is then evaluated by SEN teachers serves to facilitate well-informed and targeted design decisions about pedagogy, which could provide children with support and help them overcome academic limitations.
Keywords: Attention Deficit-Hyperactivity Disorder; 6Ms Pedagogy Model; 7Ms Pedagogy Model; learning theories; aetiological model; typically developing learners (TDLs); and special educational needs (SEN)
Systematic review of transition models for young people with long-term conditions: A report for NHS Diabetes.
No full textAims For many young people with Type 1 diabetes, transition from paediatric to adult care can result in a marked deterioration in glycaemic control. A systematic review assessed the effectiveness of transition models, or components of models, for managing the transition process in young people with long-term conditions, including Type 1 diabetes. This involved identifying (i) the main barriers and facilitators in implementing a successful transition programme, and (ii) the key issues for young people with long-term conditions and professionals involved in the transition process. Methods The following databases were searched from inception to August 2012: MEDLINE, EMBASE, PsychINFO, CINAHL, ASSIA, Social Services Abstracts, Academic Search Complete, Social Science Citation Index, Cochrane and Campbell Libraries. Selected studies included young people aged 11 to 25 diagnosed with long-term conditions who were in transition from paediatric to adult secondary health care services. Results 16 systematic reviews and 13 primary studies were included from 9992 records retrieved. No single transition model was uniquely effective. The most successful transitions centred around: young person-focused; age and developmentally appropriate content and delivery; self-management education; family participation; paediatric and adult collaboration; designated transition clinics; transition co-ordinator; young person’s portfolio; specific professionals training; multidisciplinary approach; structured process embedded in service delivery. There were no distinctive characteristics of condition-specific Type 1 diabetes services. Conclusion This important and timely review summarises the key factors that need to be considered for the development of transition programmes for young people with long-term conditions, including those with Type 1 diabetes
