A reverse engineering toolbox containing measurement and disassembly tools needed to reverse engineer products in a high school engineering classroom would be helpful to many high school teachers. This study investigates and delineates the possibilities for such a toolbox in order to reverse engineer products in specific product domains. The study finds that certain tools are very useful for a wide variety of products; however, certain products require more specialized equipment not included in the toolbox. Recommendations are provided for generic and specialized equipment across product domains. This information will be helpful to high school teachers setting up reverse engineering projects and are deciding which tools and equipment are needed for the project. / text

Reverse engineering, the technique of using different tools and methodology to recreate an object or machine, is increasingly used in academia to solidify theoretical concepts as part of the Kolb learning cycle. This thesis aims to aid the use of reverse engineering as a pedagogical tool by developing a toolbox that can be used by students, and professionals alike, to properly reverse engineer a mechanical or electro-mechanical product. The development begins with an analysis of House of Quality matrices, a design methodology tool used by the industry to relate customer needs to engineering metrics and specifications. After a consolidated list of metrics was developed, the appropriate tools to properly quantify said metrics were researched and documented. Finally, a toolbox was created, with set goals in mind, and applied in two case studies to analyze its performance. Simultaneously, a portable dynamometer was developed, documented, and tested, with the goal of creating an inexpensive and accessible tool to measure the power output of fractional horsepower DC and AC motors. / text

The congestion due to traffic is a worldwide occurrence in major cities, where also the biggest part of the human population lives. To be able to control and oversee the ongoing traffic development in cities, traffic operators use different methods to observe the current trend. This is done by collecting data from stationary sensors to mobile sensors like floating car data. The data collected from stationary sensors is stored in a central database. This historical traffic data is used for analysis of traffic behavior along the main roadway network in Stockholm. Areas which are highly congested can be located as well as areas where traffic flows without problems. This thesis deals with methods to analyze and visualize the traffic behavior based on historical traffic data, measured in the city of Stockholm. Therefore a toolbox is implemented which is used to figure out bottlenecks and typical speed and flow patterns along the Stockholm highway system. Based on the typical speed and flow patterns, it is possible to calculate areas that are affected of congestion and also to determine whether congestion appears due to an incident or a bottleneck.

Flies use visual cues for a variety of tasks, such as maneuvering through the environment and finding potential mates. Hoverflies, in particular, have very developed eyes and use them to be able to hover mid air and perform fast, elegant movements. The Motion Vision Group, located at the Department of Neuroscience at BMC, Uppsala, studies the motion vision system of the hoverfly brain, using electrophysiology. Experiments are performed by displaying visual stimuli on a screen in front of an immobilized fly, while recording the response from a single neuron with a thin electrode.Until now, the Motion Vision group has been using the open source program VisionEgg to generate the stimuli. VisionEgg is able to display stimuli at high frame rate and has a large set of useful features such as perspective distortion. It also has a lot of drawbacks that makes it desirable to acquire new software. The main drawbacks include it being hard to learn, use and modify, as well as being unable to generate the stimuli needed for some key experiments.This master´s thesis describes the development of software more suited to the lab´s needs. This software should be able to generate some of the stimuli that were impossible to do at the moment, as well as being easy to expand and add upon. The frame rate of the displayed stimuli has to be both high and stable in order to perform high precision experiments.The resulting program is called FlyFly and has been developed iteratively in close cooperation with its end users, ensuring a user friendly end product capable of meeting the lab´s needs. FlyFly is implemented using MatLab and the Psychophysics toolbox with the graphical user interface (GUI) designed with the Guide editor. The GUI is decoupled from the functions drawing the stimuli, making it easy to improve or remove parts altogether. FlyFly is intuitive to use and allows anyone to quickly get started. It allows easy manipulation of series of trials, and supports drawing of multiple objects simultaneously. With the current machine set-up, it displays stimuli at 160 frames per second with few or no dropped frames.FlyFly is currently being used in the lab and will be so for the foreseeable future.

The purpose of this diploma thesis is to introduce a basic summary of landscape connectivity calculations mainly focusing on the Conefor program and the effect of input parameters on output landscape connectivity indices. One of the main goals is to create an ArcMap Toolbox to simplify the calculation of landscape connectivity indices for many areas of interest. Basic squares that cover the whole Czech Republic were chosen as main areas of interest. These units are used for example for mapping the abundance of flora and fauna. The same indices were calculated for NUTS3 and LAU1 areas in order to compare effect of size of input areas. This thesis provides a simple solution in the form of a Python Toolbox for Esri ArcMap to calculate overall indices of landscape connectivity through a Conefor command line application for a large number of input areas. Forest connectivity for different dispersal distances and input areas of interest was calculated with this Toolbox. As an input vector layer of forests, CORINE land cover data from mapping period 1990, 2000, 2006 and 2012 were used. Input dispersal distances were chosen in the range from 50 to 50.000 meters in order to comprehensively describe their effects on indices. Resultant forest and connectivity changes are represented by cartograms; the effect of input data on output indices is shown in graphs.

In this Master's thesis scripting interface of two programs CST Microwave studio and Ansoft HFSS for the purpose of analysis of electromagnetic structures is described. The work is focuses control of these programs with help of scripting languages and system's interface of MS Windows XP. Next the process of connecting programs with MATLAB is shown on commented scripts together with an example of complete analysis of a chosen problem, and the import and export of results results in MATLAB. Further the functions which form programming interface between MATLAB and simulation programs are designed and implemented. The interconnection layer makes the complete control of simulating programs possible using the function description published in the official documentation of used simulation programs. The layer is described in reference manual in detail and it is used for optimization with use of Particle swarm optimalization (PSO) of planar antenna model. Then there is presented another usage of the layer for an implementation of global optimization methods - SOMA and DE including suggestion of process for comparison efficiency of optimization algorithms on simple electromagnetic models.

This dissertation work is describing the usage of the software tool Computer Vision System Toolbox to create applications in computer vision. At the beginning of the work is performed background research of image scanning and its representation by using colour models. It is followed by a description of epipolar geometry and lastly is stated a description of the Computer Vision System Toolbox. In the next section of the work we deal with setting of used Basler cameras and processing of the scanned image. The following is a description how to create applications for object detection and after this description, we get to know applications for creation of depth maps area.

Extra-corporeal membrane oxygenation (ECMO) is a life-saving procedure for patients in respiratory or cardiac distress. Prior studies have demonstrated several known risks to the procedure, such as hypoxia, stroke, and other neurological complications (Cheng et al., 2014) that can lead to temporary or permanent deficits in motor abilities, developmental trajectory, academic abilities, and cognition (Glass et al., 1995). Although several studies have investigated morbidity and mortality rates of pediatric ECMO patients, few have looked at cognitive deficits, and even fewer at magnetic resonance imaging in relation to neuropsychological outcome and behavioral, emotional, or social functioning. The aims of this study were to investigate cognitive ability and behavioral functioning in a group of ECMO-treated patients compared to a normative sample, and to examine brain morphometry in hippocampal regions as they relate to cognitive outcome. Participants for this study were recruited from Primary Children's Hospital in Salt Lake City, UT. The total number of participants recruited was 8 (63% female; M age at testing = 16.75, SD = 4.5), and all participants were at least 1 year post-ECMO procedure (M=5.6 years; SD=2.1) for acute respiratory or cardiac illness. Neuropsychological testing was completed using the NIH Toolbox Cognition Battery. Scores were compared to normative data for age to investigate potential impairment in multiple cognitive domains. Each participant and the parent or guardian of minor participants completed brief questionnaires measuring executive functioning, behavior, and social skills, namely The Behavior Rating Inventory of Executive Functioning, The Behavioral Assessment System for Children, Second Edition, and the Social Skills Improvement System Rating Scales. Six of the participants also underwent MR imaging to obtain measures of cortical thickness in the frontal areas of the brain, as well as hippocampal and total intracranial volume. Performance results on the NIH Toolbox Cognition Battery was impaired in over half of the tested individuals who underwent ECMO as children. Attention, executive function, processing speed, and visual memory were well below the expected range for age in the majority of participants. Crystallized intelligence tasks, such as vocabulary, were in the average to above average range for most participants, likely indicating normal baseline functioning. Self- and informant report revealed variable results across participants, with various behavioral, emotional, and social difficulties reported in the group. Bilateral hippocampal volume was positively correlated with scores on tasks of episodic and working memory, though further study with a larger sample and control group is warranted. Preliminary MRI data for cortical thickness and volume of frontal regions are presented. Interpretation of results, limitations, and future directions are discussed.

abstract: Schools are tasked with the responsibility of educating students from a wide variety of backgrounds. Teachers are tasked with finding and implementing effective teaching strategies for every student in their classroom. English Language Learners (ELLs), students who are not fluent speakers of English, represent an increasing population of students within the education system that have unique instructional needs. The goal of this study was to provide regular education teachers with instructional strategies targeted toward the educational needs of ELLs. This study used both qualitative and quantitative methods to gather data. Data sources include using pre-post innovation surveys, self-reflection forms, post-innovation interviews, and field notes. For this study, nine public school teachers from different (representing different content areas) and two English Speakers of Other Language (ESOL) teachers were used. The innovation for this study was the implementation of a whole group professional development (PD) session and access to a digital toolbox that provided teachers with instructional strategies for ELLs. The strategies provided in the whole group PD session and the digital toolbox were based on the Sheltered Instruction Observation Protocol (SIOP) model. The results of the study show that the instructional strategies provided to the teachers from the innovation positively impacted the teacher’s ability to teach ELLs. Additionally, teachers liked the format of the whole group PD session and the Digital Toolbox as a way to learn new teaching strategies related to ELLs. / Dissertation/Thesis / Doctoral Dissertation Educational Leadership and Policy Studies 2020

This thesis deals with the practical usability of the PDE Toolbox in the MATLAB. It brieflydescribes the mathematical fundamentals of solution. The thesis presents the possibilitiesof PDE Toolbox in the creation of the model, geometry, boundary conditions, mesh and displayof results. The PDE Toolbox results from selected tasks from static, modal and transientmechanics and thermomechanics are compared with the analytical solution or with the FEMsimulation from the ANSYS. The main part deals with the evaluation and generalizationof results.