An interactive simulation tool for image registration education

High blood pressure and its pathologies are among the main diseases suffered by Mexicans. Many people may consider themselves prone by inheritance or lifestyle, so monitoring this biometry could help for early diagnosis. As part of the treatment, hypertensive people must keep a record that the doctor can consult periodically about the behavior of the patient blood pressure. In this work, a prototype that automatically takes blood pressure and communicates the data to a PC through a graphical user interface (GUI) in MATLAB is proposed. The values of systolic and diastolic pressures set from the prototype were compared against measurements using a digital wrist baumanometer, obtaining a percentage error less than 4%. Therefore, it can be concluded that the prototype gives not only precise, but also exact values of blood pressure.

In recent years, web-based interactive learning tools have gained significant recognition in Malaysia’s public and private universities. Like any other Internet-based systems, the adoption requires a solid understanding of user acceptance process. In Malaysia, however, the knowledge of users’ behavior toward web-based interactive learning is somewhat limited but is fundamental and essential as part of employing the system in the classroom. This study was conducted to examine students’ behavioral intention to use web-based interactive learning tools and analyze the Technology Acceptance Model (TAM). In this paper, the authors present the findings from a quantitative survey of 174 respondents and focus on student responses to perceived usefulness (PU), perceived ease of use (PEOU), attitudes toward usage (ATU), and behavioral intention to use (BIU) web-based interactive learning tools. All hypotheses are supported. A closer look at the constructs reveals a full mediating role of attitude toward usage (ATU) between perceived ease of use (PEOU) and behavioral intention to use (BIU). The findings suggest that TAM can be applied legitimately in the context of determining students’ behavioral intention to use web-based interactive learning tools.

As the technology is growing day by day the world is adapting robotic for their comfort in daily life. So we have developed a GUI based, trainable robotic arm which is being automated for multipurpose industrial applications. The special feature which we are highlighting in our work is that, the arm is easily manipulated and has all in one solution for the certain range of pick and place application. The basic aim is to achieve the ability of commanding and controlling the arm through MATLAB Graphical User Interface (GUI) and to make the system more efficient. The designed system has been divided into 2 parts: (1) The AVR microcontroller has been programmed for the central controlling station which has GUI access and the arm control, and (2) to program the GUI for making the robot trainable and user-friendly. As it is a time-saving controlling method, we can use it for picking and placing the material over the conveyor assembly.

Keywords: and systems. MATLAB GUI. Experiment platform. Abstract. Aiming at the weakness of traditional theoretical teaching in the course of Signals and Systems, MATLAB Graphical User Interface (GUI) is used to convert abstract theoretical knowledge into concrete image simulation. The platform can strengthen students' understanding on important and difficult knowledge points and thus can help to improve teaching quality and efficiency in class.

Satellite imagery is being used to monitor the Earth, as it allows for the continuous provision of multi-temporal observations with consistent quality. To analyze time series remote sensing data with high accuracy, the process of image registration must be conducted beforehand. Image registration techniques are mainly divided into region-based registration and feature-based registration, and both techniques extract the same points based on the similarity of spectral characteristics and object shapes between master and slave images. In addition, recently, deep learning-based siamese neural network and convolutional neural network models have been utilized to match images. This has high performance compared to previous non-deep learning algorithms, but a very large amount of data is required to train a deep learning-based image registration model. In this study, we aim to generate a dataset for training a deep learning-based optical image registration model. To build the data, we acquired Satellite Side-Looking (S2Looking) data, an open dataset, and performed preprocessing and data augmentation on the data to create input data. After that, we added offsets to the X and Y directions between the master and slave images to create label data. The preprocessed input data and labeled data were used to build a dataset suitable for image registration. The data is expected to be useful for training deep learning-based satellite image registration models.

Purpose: To provide a flexible environment for experimenting with various combinations of input images, arc length and resolution, projection geometries, search methods, and cost functions for projection-to-volume (“2D-3D”) image registration Methods: A MATLAB graphical user interface was developed to align a series of orthogonal pairs of radiographs acquired during arc therapy to projections through a region of interest of a reference CT image volume. The projection and volume geometries are based on a distributable image registration toolbox. Experiments can use single or orthogonal radiograph series, simulations from second input volumes, modified volumes of the reference CT such as additive noise, and variable regions of interest. Two forward projection algorithms (Siddon and separable footprint) are incorporated, both mutual information and SSD metrics can be used, and search engines include conjugate gradient (for SSD), simplex, as well as direct mapping of the cost function in a user-defined local search region. Results: A number of initial experiments have been performed with this interface. The tradeoffs of local contrast and detail versus angular range, image noise, and angular resolution for identifying local transformations have been explored. The impact of removing, maintaining, or reducing CT signals outside the region of interest for alignment to radiographs has been tested. Modifications including temporal regularization to monitor movement during arc rotation are easily implemented within this open framework. Conclusions: This environment is continuously expanding, and should support collaborative investigations across institutions on common problems and solutions for projection-based image registration. Funded in part by NIH P01-CA59827

NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract INNOVATIVE TEACHING OF FOURIER SERIES USING LABVIEW Abstract Students often "glaze over" when detailed mathematical derivations are presented in class. Fourier series, the Fourier Integral and the FFT pose some significant mathematical derivations that can put any student to sleep – integrals, orthogonal functions and so on are only glamorous to the professor who relishes their derivation. However, the basic utilization of the Fourier series and FFT are very important to many applications. An understanding of their use is critical to a student's success in several different applications such as harmonic analysis, time and frequency response, and filtering. A lab exercise using LabVIEW is developed to demonstrate Fourier series and the FFT process along with harmonics and filtering. The students develop a graphical user interface (GUI) using LabVIEW to process simple sinusoidal signals, sum sine waves to approximate general signals (such as a square wave), take Fourier transforms, and present data in the time and frequency domain. Graphical controls (sliders or level gain) are used for both frequency and amplitude of the individual summed sine waves. The students are tasked to generate various types of waveforms and then compare the time and frequency outputs to assess the truncation of the series developed; the coefficients are then compared to the widely published Fourier series coefficients for each of the signals. Without requiring a rigorous mathematical development, the students gain first hand appreciation of the Fourier transformation process from a very intuitive, graphical process and, at the same time, learn important features of the LabVIEW software program. The assigned project allows the students to develop their own interface with the features that are intuitive to themselves rather than using a "canned" GUI to illustrate the Fourier series process. Tutorial material describing LabVIEW overview and individual tools needed are presented in class and available as voice annotated Flash file overview. Students have used both "canned" MATLAB GUIs and standard laboratory exercises using an actual FFT analyzer with signals generated by a function generator to observe the same phenomena. The students have overwhelmingly indicated that the individual development of the Fourier transformation via LabVIEW was a much better learning experience. The project, the results and students' observations are presented. I. Problem Students need to apply mathematical concepts with a firm, rooted understanding of the tools that are employed. The application of Fourier Series, spectral processing, the Fast Fourier Transform and concepts of filtering need to be well understood for a wide variety of applications. The traditional approach of mathematical development of equations with homework and test problems does not appear to drive the students to learn the material for any particular reason. Implementation of laboratory exercises with lab based FFT analyzers end up causing students to

In this paper, an educational software was developed using MATLAB and its Graphical User Interface (GUI). This interactive and user-friendly software focuses on three subjects which are electromagnetic, communication engineering and power engineering. The user uses MATLAB GUI in designing the educational software and compiled together with M-file program to develop a standalone program. Standalone program was created to ease the students to use this educational software without installing MATLAB software in their personal computer. This software may help user to get a better understanding on electrical engineering subjects such as electromagnetic, communication engineering and power engineering.

Purpose:To develop treatment planning workflow for rapid radiotherapy delivered with very‐high energy electron (VHEE) scanning beam.Methods:VHEE radiotherapy treatment planning was performed by linking Monte Carlo (MC) dose calculations with inverse optimization in a research version of RayStation. In order to study a number of treatment parameters, a Matlab graphical user interface (GUI) for calculation of VHEE beamlet dose was developed. Through the GUI, EGSnrc MC simulations were run for a number of beam energies, number of beams, beamlet spot and grid sizes, and machine bore sizes. VHEE plans for a pediatric patient with a 4.3 cm3 brain target optimized with spot‐scanning algorithm in RayStation were compared to the clinically delivered 6 MV VMAT plan.Results and Discussion:VHEE beam energy had the largest effect on the quality of dose distributions. For the same target dose, the mean doses to critical organs decreased by 10–15% when planned with 100 MeV compared to 60 MeV. VHEE plans calculated with 36 beams outperformed plans calculated with 13 and 17 beams. While beamlet spacing and bore size had a small effect on VHEE dose distributions, 0.1‐3mm beamlet sizes resulted in identical dose distributions. Critical organ doses were by up to 70% lower in the best VHEE plan compared to the clinical 6 MV VMAT plan.Conclusions:We have developed a GUI for MC beamlet generation for treatment planning of VHEE radiotherapy. We have demonstrated that pediatric VHEE plans resulted in significant critical organ dose sparing compared to the clinical VMAT plan.

A tool for voltage stability and optimization (VS&OP) in radial distribution systems using matlab graphical user interface (GUI)

The ball and beam (B&B) system is widely used as a laboratory equipment to study control systems engineering since it represents one of the most easy to understand and important system. In this work, a step by step Lagrangian model for the B&B system has been obtained. Afterward, a pole placement controller has been designed for trajectory tracking and disturbance rejection purpose. The derived model and the controller has been demonstrated in Simulink environment. The paper also investigates the controller robustness in the existence of sensor noise and external disturbances. For the purpose of better understanding of the relationship between the set of placed poles, the system response plot and the physical system behavior, a visualized model for the B&B system has been built using Matlab graphical user interface (GUI) platform. The GUI platform present a helpful tool in understanding the ball and beam system mechanical behavior with different placed poles' positions. It will also minify the need for an actual B&B laboratory experimental set.

Because of the low efficiency data analysis and processing for ship pose and position, A set of ship pose and position data processing software was designed and implemented by MATLAB graphical user interface (GUI). In order to make the interface more layering and operational, we use several separate callback function to realize global callback by relevant with botton-up design methods. The software realize some functions: evaluating the data quality, data graphic outputing, and data tabulated outputting.

Microbiology and Immunology is a required 4 credit hour course for pharmacy students to progress in Chicago State University College of Pharmacy program. Twenty lectures are offered to first-year pharmacy students to grasp fundamentals of Immunology. We surveyed this course for five weeks and observed the classroom lectures, student’s participation, and the learning materials that were provided to students to use in this course. We noticed the major hindrance in learning was lack of student engagement in the classroom. Our survey indicated 77.6% of the students could not focus during lectures for more than 10 minutes. In the classroom environment, traditional PowerPoint lectures were given, students were quizzed during the lecture to keep them attentive, but still there was an obvious lack in lively participation and learning process. The objective of this study was to use interactive educational tools to help engage students. Our hypothesis was that interactive educational tools will improve student’s engagement in the classroom and possibly enhanced student learning. We experimented with various interactive educational tools, such as Moodle (Millionaire game, Quiz, Adaptive Quiz), Facebook livestream, and a private YouTube channel to keep students engaged in the classroom. We observed that simply using various diverse educational tools during the lectures drew student attention and participation rather than sticking to only one method or tool of teaching. The results showed that students were not bored and seemed to enjoy learning and lively contributed to their own learning process. In conclusion, the use of interactive educational tools improved both student engagement in the class as well as boosted the morale of the Instructor.

A computer programhas been developed for design of surface drip irrigation system. It could be applied for calculation of small scale fields with an area up to 10 ha. The program includes two main parts: crop water requirements and hydraulic calculations of the system. It has been developed in Graphical User Interface in MATLAB and gives opportunity for selecting some parameters from tables such as: agro- physical soil properties, characteristics of the corresponding crop, climatic data. It allows the user of the program to assume and set a definite value, for example the emitter discharge, plot parameters and etc. Eight cases of system layout according to the water source layout and the number of plots of the system operation are laid into hydraulic section of the program. It includes the design of lateral, manifold, main line and pump calculations. The program has been compiled to work in Windows.

The recently proposed exothermic chemical reaction based tumor hyperthermia method presented a new way of realizing truly minimally invasive treatment for tumor. This method utilizes heat generated from the reaction between acid and alkali solutions to allow for tumor ablation. Successful clinical implementation of this method requires a clearer understanding and quantification of the ablation area such that a more controllable operation can be made. A number of in-vitro and in-vivo experiments are designed to examine the features of thermal chemo-ablation therapy which include micro and macro characteristics of ablated tissue and temperature change during the ablation process. A Quantitative study on the relationship between velocity and ablation volume as well as a Graphical User Interface in Matlab for computerized ablation area analysis are also presented in this article. We present in here two instrument designs for thermal chemo-ablation and have completed the prototype design for the injection pump which has been tested and successfully applied in ex-vivo and vivo experiments.