Development of a Framework for a Java-based Signal Processing E-Learning Platform

The design and implementation of an interactive, but easy to extend and to maintain e-learning platform is a complex task. In order to achieve this, existing learning platforms have been reviewed concerning learning principles applied in them. Then, use cases have been defined and a prototype of a web based learning platform has been built. Out of this prototype creation process, the software architecture of the learning platform as well as a model for creating exercises have been developed. As a result of this thesis project, a well-structured, JavaServer Faces based distributed e-learning software system has been developed. This software system integrates MATLAB® functions and provides a well-structured user interface. The user is able to configure the input signals as well as the digital signal processing algorithms freely, which gives her the possibility to study the algorithm in a way she desires. The results of the algorithms are presented using interactive charts, which can be saved to local disk for later reference. Printable question sheets are attached to the exercises, which guide the student towards to learning goals defined in advance. By this thesis project it has been shown, how modern web technologies like JavaServer Faces, jQuery and Highcharts are used to create an e-learning platform with MATLAB® as a back end. The Model-View-Controller based software architecture of the learning platform allows to separate responsibilities and thus keeps the code understandable and clean. Due to its flexible software architecture, the learning platform can be extended by other exercises, but also by other back ends like GNU Octave. In the future, it shall be investigated how the e-learning platform can be extended to two and three dimensional signals like images and videos. Also, an integration of simple vector- and matrix exercises is desirable

Integrated technologies instructional method to enhance bilingual undergraduate engineering students

This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University LondonMathematics permeates almost every aspect of human life and it is a skill much needed by the increasingly complex technological world. It is necessary that this essential skill must be properly developed among students to prepare them for future academic and professional careers. An assessment of the research-based instructional strategies blending with old traditional methods with the modern technological development is a must. Due to the complexity of mathematics learning and the varied learning styles of learners, an integration of appropriate multiple instructional strategies into mathematics education will positively impact mathematical achievement of students. The purpose of this research was to examine the effects of the use of Integrated Technologies Instructional Method (ITIM) as a supplement to the traditional lecture method on mathematics achievement of the Integral Calculus students at the College of Engineering, University of Ha'il, Saudi Arabia. The ITIM includes the four instructional strategies such as the use of the Computer-Supported Collaborative Learning, the collaborative learning, the bilingual support and the study support. Different types of academic supports have been used to examine their effects on students achievement in mathematics. Mathematics, the bedrock of science and engineering, is considered a very important indicator of a student's academic success in professional higher education. Undergraduate engineering students' low achievement in the first year mathematics is an issue demands much attention. The study was undertaken to address students' weak background in mathematics and particularly their high failure rates in this particular course. A total of 218 undergraduate engineering students, comprising of both the experimental and the control groups, were involved in this experimental design study. The control group was taught by the traditional lecture method whereas the experimental group was exposed to the ITIM as a supplement to the traditional lecture method. Apart from the effects of the use of ITIM, students' performance in the previous courses (covariates) such as mathematics, computer, and the English language were compared with their final grades of the Integral Calculus course. The final grades of students were taken as the dependent variable and the ITIM and students' scores in the previous courses as the independent variables. It has been noticed from the literature review that the application of only one instructional strategy does not address the needs of the diverse learning styles of students. A mixed mode method, quantitative and qualitative, was used to collect and analyse data. The quantitative data instruments included students' final exam grades and the student questionnaires. Interviews with students were used as qualitative tools of data collection. An independent t-test, ANOVA, univariate analysis and the stepwise multiple regression analysis were performed to determine the overall statistical significance. The study concluded that there was a statistically significant difference in the performance of the experimental group of students' in terms of their end-of-course grades compared to that of the control group. The regression model revealed significance of covariates on the dependent variable. However, no significant relationship was found between the mathematics achievement and attitudes towards the use of ITIM. The study was an attempt to demonstrate the suitability of the instructional strategies on the bilingual Arab undergraduate engineering students; however, they can probably be applicable to other bilingual students

An Affordable Portable Obstetric Ultrasound Simulator for Synchronous and Asynchronous Scan Training

The increasing use of Point of Care (POC) ultrasound presents a challenge in providing efficient training to new POC ultrasound users. In response to this need, we have developed an affordable, compact, laptop-based obstetric ultrasound training simulator. It offers freehand ultrasound scan on an abdomen-sized scan surface with a 5 degrees of freedom sham transducer and utilizes 3D ultrasound image volumes as training material. On the simulator user interface is rendered a virtual torso, whose body surface models the abdomen of a particular pregnant scan subject. A virtual transducer scans the virtual torso, by following the sham transducer movements on the scan surface. The obstetric ultrasound training is self-paced and guided by the simulator using a set of tasks, which are focused on three broad areas, referred to as modules: 1) medical ultrasound basics, 2) orientation to obstetric space, and 3) fetal biometry. A learner completes the scan training through the following three steps: (i) watching demonstration videos, (ii) practicing scan skills by sequentially completing the tasks in Modules 2 and 3, with scan evaluation feedback and help functions available, and (iii) a final scan exercise on new image volumes for assessing the acquired competency. After each training task has been completed, the simulator evaluates whether the task has been carried out correctly or not, by comparing anatomical landmarks identified and/or measured by the learner to reference landmark bounds created by algorithms, or pre-inserted by experienced sonographers. Based on the simulator, an ultrasound E-training system has been developed for the medical practitioners for whom ultrasound training is not accessible at local level. The system, composed of a dedicated server and multiple networked simulators, provides synchronous and asynchronous training modes, and is able to operate with a very low bit rate. The synchronous (or group-learning) mode allows all training participants to observe the same 2D image in real-time, such as a demonstration by an instructor or scan ability of a chosen learner. The synchronization of 2D images on the different simulators is achieved by directly transmitting the position and orientation of the sham transducer, rather than the ultrasound image, and results in a system performance independent of network bandwidth. The asynchronous (or self-learning) mode is described in the previous paragraph. However, the E-training system allows all training participants to stay networked to communicate with each other via text channel. To verify the simulator performance and training efficacy, we conducted several performance experiments and clinical evaluations. The performance experiment results indicated that the simulator was able to generate greater than 30 2D ultrasound images per second with acceptable image quality on medium-priced computers. In our initial experiment investigating the simulator training capability and feasibility, three experienced sonographers individually scanned two image volumes on the simulator. They agreed that the simulated images and the scan experience were adequately realistic for ultrasound training; the training procedure followed standard obstetric ultrasound protocol. They further noted that the simulator had the potential for becoming a good supplemental training tool for medical students and resident doctors. A clinic study investigating the simulator training efficacy was integrated into the clerkship program of the Department of Obstetrics and Gynecology, University of Massachusetts Memorial Medical Center. A total of 24 3rd year medical students were recruited and each of them was directed to scan six image volumes on the simulator in two 2.5-hour sessions. The study results showed that the successful scan times for the training tasks significantly decreased as the training progressed. A post-training survey answered by the students found that they considered the simulator-based training useful and suitable for medical students and resident doctors. The experiment to validate the performance of the E-training system showed that the average transmission bit rate was approximately 3-4 kB/s; the data loss was less than 1% and no loss of 2D images was visually detected. The results also showed that the 2D images on all networked simulators could be considered to be synchronous even though inter-continental communication existed

Matlab

This book is a collection of 19 excellent works presenting different applications of several MATLAB tools that can be used for educational, scientific and engineering purposes. Chapters include tips and tricks for programming and developing Graphical User Interfaces (GUIs), power system analysis, control systems design, system modelling and simulations, parallel processing, optimization, signal and image processing, finite different solutions, geosciences and portfolio insurance. Thus, readers from a range of professional fields will benefit from its content

MATLAB

This excellent book represents the final part of three-volumes regarding MATLAB-based applications in almost every branch of science. The book consists of 19 excellent, insightful articles and the readers will find the results very useful to their work. In particular, the book consists of three parts, the first one is devoted to mathematical methods in the applied sciences by using MATLAB, the second is devoted to MATLAB applications of general interest and the third one discusses MATLAB for educational purposes. This collection of high quality articles, refers to a large range of professional fields and can be used for science as well as for various educational purposes

A Novel Focal Plane Wavefront Sensor with A Pure Photonic Approach

Adaptive Optics (AO) is the major technique for observing celestial objects from ground-based telescopes and wavefront sensors (WFS) are one of the core tools for sensing the phase information of light. Current WFSs embedded in AO systems carry inherited problems that either are not able to correct particular types of wavefront errors (WFEs), or introduce more into the system due to noncommon optical paths. This results in the inability of observing exoplanets and similar objects. It has been long realised that a new generation of WFSs is required to observe Earth-like exoplanets and similarly dim objects. This thesis proposes and introduces a new type of all-photonic focal plane WFS. I will present the findings of using a 19 core photonic lantern (PL) as a novel type of focal plane wavefront sensor (FP WFS) in a laboratory setting. The aim of the experiment is to explore the feasibility of PL as FP WFS using a neural network (NN) in a physical setting. The PL, in theory, is able to function as WFS due to its ability to convert multi mode (MM) inputs to single-modes (SM) outputs and vice versa. While direct detection of the input phase and intensity with a single PL (at a single wavelength) is not possible due to degeneracy, a NN is able to find correlations using non-linear function between the PL's inputs and outputs, hence establishes accurate predictions of the WF inputs. Chapter 1 provides information on the current adaptive optic (AO) technology used in Astronomy, and the presenting challenges of AO in ground-based telescopes. Chapter 2 introduces the two building blocks of the proposed technology, and the reasons why the combination of both PL and NN can restore the distorted WF. The experiment is detailed in Chapter 3 and 4. The results and analysis of the data obtained show a promising technique that is able to resolve WFEs that are currently extremely difficult for current WFSs. Chapter 5 concludes the finding and future research direction

How to Teach Mechanical Engineering Design Using Industry Methods While Still Assessing to University Criteria

There is a growing demand from industry for qualified design engineers. Many design engineers are trained in industry at vast expense in time and money, while many more are trained at universities and colleges. This thesis will explore how to maintain the training by universities and colleges to be as up to date and relevant as possible. It will look at the modern techniques and methods such as design teams, use of computer software, communication, use of the internet, and methods to solve design problems. All these techniques and methods are used by world-leading industries during the 21st century; this century, known also as the Third Industrial Revolution, or the Information Technology Revolution. It will show how appropriate techniques and methods can be applied in academia. A challenge is highlighted, and a solution found, how to get students to design to modern industry standards but at the same time make it possible to assess their work to satisfy the needs of academia and achieve the awarding criteria. Modern techniques and methods will be applied to university students and an assessment made of the results. Use of group working will be explored, and an algorithm developed to grade the completed work. What do students need now, to equip them to become competent designers, and how do lecturers support these students in these new methods? A knowledge gap between full-time students and part-time students in their final year of a degree programme was identified. This gap was reduced by reviewing the curriculum from earlier years and specifically targeting improving the student’s knowledge. To reduce the gap further, the development of a new teaching theory based on reverse engineering and a reversed application of Bloom’s Taxonomy was developed. This new teaching theory was applied to engineering student in their final year of a BEng (Hons) Mechanical Engineering Degree. The above methods and theories were validated by experienced industry design engineers from world leading companies

Characterization of Retinal Ganglion Cell Responses to Electrical Stimulation Using White Noise

Retinitis pigmentosa and age-related macular degeneration are two leading causes of degenerative blindness. While there is still not a definitive course of treatment for either of these diseases, there is currently the world over, many different treatment strategies being explored. Of these various strategies, one of the most successful has been retinal implants. Retinal implants are microelectrode or photodiode arrays, that are implanted in the eye of a patient, to electrically stimulate the degenerating retina. Clinical trials have shown that many patients implanted with such a device, are able to regain a certain degree of functional vision. However, while the results of these ongoing clinical trials have been promising, there are still many technical challenges that need to be overcome. One of the biggest challenges facing present implants is the inability to preferentially stimulate different retinal pathways. This is because retinal implants use large-amplitude current or voltage pulses. This in turn leads to the indiscriminate activation of multiple classes of retinal ganglion cells (RGCs), and therefore, an overall reduction in the restored visual acuity. To tackle this issue, we decided to explore a novel stimulus paradigm, in which we present to the retina, a stream of smaller-amplitude subthreshold voltage pulses. By then correlating the retinal spikes to the stimuli preceding them, we calculate temporal input filters for various classes of RGCs, using a technique called spike-triggered averaging (STA). In doing this, we found that ON and OFF RGCs have electrical filters, which are very distinct from each other. This finding creates the possibility for the selective activation of the retina through the use of STA-based waveforms. Finally, using statistical models, we verify how well these temporal filters can predict RGC responses to novel electrical stimuli. In a broad sense, our work represents the successful application of systems engineering tools to retinal prosthetics, in an attempt to answer one of the field’s most difficult questions, namely selective stimulation of the retina