Master of Science / Department of Computing and Information Sciences / Gurdip Singh / A Health Care System is targeted to provide well-monitored patient care. ‘A Visualization Framework for Patient data and its environment’ offers a broad portfolio of patient monitoring to help and improve patient care. ‘A Visualization Framework for Patient data and its environment’ is an application to monitor and analyze any patient’s activity visually through a period of time in conjunction with the surroundings aspects like the room temperature, status of lights in the room, etc. in a healthcare system. A set of sensors equipped with each patient record data, pertaining to the patient’s movement and location in addition to a few other sensor values like temperature and light sensors for recording the room temperature, status of lights in the room respectively. On accepting the activity time bounds as the input, the application retrieves the appropriate values from the database and displays the patient position as a continuous stream of images in association with a slider along with the temperature values. A floor map of the hospital, similar to a blueprint model, is portrayed along with graphical display of lights, in conjunction with the slider. The patient locations are depicted on the map by minute icons with a patient id associated with the each of the icons for identification purposes. Individual window frames for each patient, displaying a patient’s position, enable the user to customize monitoring to specific patients at any instance of time and thus keep track of every move of the patient over a considerate period of time. The locations of the patients on the map, the lights in the rooms depicted on the floor map, the patient position in the individual windows and the temperature are all in synchronization with the slider whose movement is a function of time. The application allows monitoring of values that correspond closely to real-time data values thus maximizing the scope of improvements in the patient’s progress. The application is implemented on a Java Platform using Swings and is expected to handle considerable amounts of data up to two days.

Master of Science / Department of Electrical & Computer Engineering / Steve Warren / Activity recognition can be an important part of human health awareness. Many benefits can be generated from the recognition results, including knowledge of activity intensity as it relates to wellness over time. Various activity-recognition techniques have been presented in the literature, though most address simple activity-data collection and off-line analysis. More sophisticated real-time identification is less often addressed. Therefore, it is promising to consider the combination of current off-line, activity-detection methods with wearable, embedded tools in order to create a real-time wireless human activity recognition system with improved accuracy. Different from previous work on activity recognition, the goal of this effort is to focus on specific activities that an astronaut may encounter during a mission. Planetary navigation field test (PNFT) tasks are designed to meet this need. The approach used by the KSU team is to pre-record data on the ground in normal earth gravity and seek signal features that can be used to identify, and even predict, fatigue associated with these activities. The eventual goal is to then assess/predict the condition of an astronaut in a reduced-gravity environment using these predetermined rules. Several classic machine learning algorithms, including the k-Nearest Neighbor, Naïve Bayes, C4.5 Decision Tree, and Support Vector Machine approaches, were applied to these data to identify recognition algorithms suitable for real-time application. Graphical user interfaces (GUIs) were designed for both MATLAB and LabVIEW environments to facilitate recording and data analysis. Training data for the machine learning algorithms were recorded while subjects performed each activity, and then these identification approaches were applied to new data sets with an identification accuracy of around 86%. Early results indicate that a single three-axis accelerometer is sufficient to identify the occurrence of a given PNFT activity. A custom, embedded acceleration monitoring system employing ZigBee transmission is under development for future real-time activity recognition studies. A different GUI has been implemented for this system, which uses an on-line algorithm that will seek to identify activity at a refresh rate of 1 Hz.

Modern computer systems are complex. Even in the best of conditions, it can be difficult to understand the behavior of the system and identify why certain actions are occurring. Existing systems attempt to provide insight by reviewing the effects of actions on the system and estimating their cause. As computer systems are strongly driven by actions of the user, we propose an approach to identify processes which have interacted with the user and provide data to which system behaviors were caused by the user. We implement three sensors within the graphical user interface capable of extracting the necessary information to identify these processes. We show our instrumentation is effective in characterizing applications with an on-screen presence, and provide data towards the determination of user intentions. We prove that our method for obtaining the information from the user interface can be done in an efficient manner with minimal overheads.

Creating for the first time GUI (graphical user interface) applications is an endeavor that can be most challenging. This article introduces the general concepts of GUIs and the need to interact with GUI elements only on the so called "GUI thread". The concepts pertain to GUI applications written for Windows, Linux and MacOS alike. Using Java libraries for creating Rexx GUI applications makes these Rexx GUI applications totally platform independent. Taking advantage of BSF4ooRexx even the powerful JavaFX GUI libraries can be exploited by pure Rexx, allowing Rexx programmers to create the most demanding and complex GUI applications in an unparalleled easiness in an astonishing short period of time. The introduced GUI concepts will be demonstrated with short nutshell examples exploiting the JavaFX GUI libraries, empowering the Rexx programmers with the ability to create stable and error free GUI applications in Rexx.

According to NHTSA Traffic Safety Facts [9], bicyclist deaths and injuries in 2013 are recorded as 732 and 48,000, respectively. In the State of Florida the safety of bicyclists is of particular concern as the bicycle fatality rates are nearly triple the national average. Further Florida ranks #1 on bicycle fatality rate in the nation for several years. To determine the cause of near-misses and crashes, a detailed study of bicyclist behavior and environmental conditions is needed. In a Florida Department of Transport (FDOT) funded project, USF CUTR has proposed naturalistic bicycle study based on ride data collected from 100 bicyclists for 3000 hrs. To this end, Bicycle Data Acquisition System (BDAS) is being researched and developed. The main objective of this thesis work is to design and implement low power video and audio subsystems of BDAS as specified by domain experts (USF CUTR researchers). This work also involves design of graphical user interface (Windows application) to visualize the data in a synchronized manner. Selection of appropriate hardware to capture and store data is critical as it should meet several criteria like low power consumption, low cost, and small form factor. Several Camera controllers were evaluated in terms of their performance and cost. The major challenges in this design are synchronization between collected data, storage of the video and sensor data, and design of low power embedded subsystems.

The main goal of this thesis study is the optimization of the basic design parameters of hybrid electric vehicle drivetrain components to minimize fuel consumption and emission objectives, together with constraints derived from performance requirements. In order to generate a user friendly and flexible platform to model, select drivetrain components, simulate performance, and optimize parameters of series and parallel hybrid electric vehicles, a MATLAB based graphical user interface is designed. A basic sizing procedure for the internal combustion engine, electric motor, and battery is developed. Pre-defined control strategies are implemented for both types of hybrid configurations. To achieve better fuel consumption and emission values, while satisfying nonlinear performance constraints, multi-objective gradient based optimization procedure is carried out with user defined upper and lower bounds of optimization parameters. The optimization process is applied to a number of case studies and the results are evaluated by comparison with similar cases found in literature.

Curved bridges with steel/concrete composite girders are used frequently in the recent years. Analysis of these structural systems presents a variety of challenges. Finite element method offers the most elaborate treatment for these systems, however its use is limited in routine design practice due to modeling requirements. In recent years, a finite element program named UTrAp was developed to analyze construction stages of curved/straight composite bridges. The original Graphical User Interface could not be used with the modified computation engine. It is the focus of this thesis work to develop a brand new Graphical User Interface with enhanced visual capabilities compatible with the engine. Pursuant to this goal a Graphical User Interface was developed using C++ programming language together with OPENGL libraries. The interface is linked to the computational engine to enable direct interaction between two programs. In the following thesis work the development of the GUI and the modifications to the computational engine are presented. Moreover, the analysis results pertaining to the newly added features are checked against analytical solutions and recommendations presented in design specifications.

Graphical user interface (GUI) has become the key element of modern information systems and is commonly viewed as one of the decisive factors for the success of an information system project. To help develop effective GUIs, many tools have been introduced by software vendors to meet the needs of designing a variety of interfaces. Such modern design tools offer system developer vehicles to create sophisticated GUI with a few codes. However, the complicity of many GUIs and the varying expectations among users, designers and developers make the communication among them and the use of most prevailing design tools a real challenge. An integrated tool for better design and development of GUIs may help alleviate the problems caused by the mis-communication and the knowledge gaps existing among users, designers and developers. In this paper, a new design tool, which integrates the GUI design techniques embedded in Unified Modeling Language (UML) and the Presentation-Abstraction-Control (PAC) model in Web environment (Net-PAC) is proposed. The potential problems of using vendor-provided design methodology will be presented. Special features of the proposed integrated tool will then be discussed. Some real-world cases using the integrated techniques will be presented to illustrate the advantages of using proposed methodology.

This paper is an analysis of creative opportunities of graphical user interface software of computer mathematics systems. There were two computer mathematics systems chosen: Matlab 7, Maple 10 and Mathematica 5.2 for this work. In order to compare the creative opportunities of graphical user interface software in computer mathematics systems and universal programming languages, C++ Builder 6 system was chosen. In line, there were four application programs groups created in mathematics systems and in C++ Builder system. The process of creating these programs, the peculiarities of the codes and the final result were compared. To sum up, computer mathematics systems may be used for creating application programs. Classical programming tasks may be implemented in these programs. Moreover, computer mathematics systems used for creating software cannot be changed by any other program that needs classical programming constructions, analytic computations and creating of graphical user interface.

Rotor dynamic analysis, which requires extensive amount of data and rigorous analytical processing, has been eased by the advent of powerful and affordable digital computers. By incorporating the processor and a graphical interface post processor in a single set up, this program offers a consistent and efficient approach to rotor dynamic analysis. The graphic user interface presented in this program effectively addresses the inherent complexities of rotor dynamic analyses by linking the required computational algorithms together to constitute a comprehensive program by which input data and the results are exchanged, analyzed and graphically plotted with minimal effort by the user. Just by selecting an input file and appropriate options as required, the user can carry out a comprehensive rotor dynamic analysis (synchronous response, stability analysis, critical speed analysis with undamped map) of a particular design and view the results with several options to save the plots for further verification. This approach helps the user to modify the design of turbomachinery quickly, until an efficient design is reached, with minimal compromise in all aspects.