The purpose of this project is to make available a Web-based Library, a web application developed for the Department of Computer Science at CSUSB to manage student projects/theses and faculty papers. The project is designed in accordance with Model-View-Controller (MVC) design pattern using the Jakarta Struts framework and iBATIS Data Mapper framework from Apache Software Foundation, JavaServer Pages (JSP), and MySQL database.

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When someone wants to rent a car, the customer will usually think twice about the company from which they want to rent. The decision will be based on factors such as good rates, quality and customer service. The service the company representative offers the client should be fast, clear and accurate. This goal cannot be achieved without an informative system that will enable the customer representative to answer the various questions the client might have.

East Tennessee State University recently adopted Alma & Primo and was suprised by the lack of an A-Z database discovery module. Frustrated by having to maintain electronic resources separately on our library website and in Alma, we embarked on a goal to eliminate redundancy and use Alma/Primo exclusively. This presentation will cover our entire workflow in both Alma & Primo and the issues we encountered along the way. I'll first go over our process in Alma including MARC record creation, electronic collection setup, and the top level collection module. Next, I'll cover our workflow in Primo including normalization rules, scoping, PNX display, facets, and code table changes. The last section will cover the Primo X-Services API and how it was developed into an A-Z Database list.

Data quantity, speed requirements, reliability constraints, and other factors encourage industry developers to build distributed systems and use distributed services. Software engineers are therefore exposed to distributed systems and services daily in the workplace. However, distributed computing is hard to teach in Computer Science courses due to the complexity distribution brings to all problem spaces. This presents a gap in education where students may not fully understand the challenges introduced with distributed systems. Teaching students distributed concepts would help better prepare them for industry development work. DecaFS, Distributed Educational Component Adaptable File System, is a modular distributed file system designed for educational use. The goal of the system is to teach distributed computing concepts to undergraduate and graduate level students by allowing them to develop small, digestible portions of the system. The system is broken up into layers, and each layer is broken up into modules so that students can build or modify different components in small, assignment- sized portions. Students can replace modules or entire layers by following the DecaFS APIs and recompiling the system. This allows the behavior of the DFS (Distributed File System) to change based on student implementation, while providing base functionality for students to work from. Our implementation includes a code base of core DecaFS Modules that students can work from and basic implementations of non-core DecaFS Modules. Our basic non-core modules can be modified to implement more complex distribution techniques without modifying core modules. We have shown the feasibility of developing a modular DFS, while adhering to requirements such as configurable sizes (file, stripe, chunk) and support of multiple data replication strategies.

One of the most important operating system topics, file systems, control how we store and access data and form a key point in a computer scientists understanding of the underlying mechanisms of a computer. However, file systems, with their abstract concepts and lack of concrete learning aids, is a confusing subjects for students. Historically at Cal Poly, the CPE 453 Introduction to Operating Systems has been on of the most failed classes in the computing majors, leading to the need for better teaching and learning tools. Tools allowing students to gain concrete examples of abstract concepts could be used to better prepare students for industry. The PolyFS Visualizer is a block level file system visualization service built for the PolyFS and TinyFS file systems design specifications currently used by some of professors teaching CPE 453. The service allows students to easily view the blocks of their file system and see metadata, the blocks binary content and the interlinked structure. Students can either compile their file system code with a provided block emulation library to build their disk on a remote server and make use of a visualization website or place the file mounted as their file system directly into the visualization service to view it locally. This allows students to easily view, debug and explore their implementation of a file system to understand how different design decisions affect its operation. The implementation includes three main components: a disk emulation library in C for compilation with students code, a node JS back-end to handle students file systems and block operations and a read only visualization service. We have conducted two surveys of students in order to determine the usefulness of the PolyFS Visualizer. Students responded that the use of the PolyFS visualizer helps with the PolyFS file system design project and has several ideas for future features and expansions.

This work is covering desing of database system which stores results of measerements performed on test stations which are part of assembly line.

This diploma thesis is about data backup and following data archiving in real environment of concrete IT company engaged in software development. Theoretical knowledge concerning the area of data backup and data storages is described here. It also describes the current situation of data backup and problems with the current solution. There are suggestions for improving the current situation, including economic evaluation, to achieve efficient and most importantly secure data backup.

Current assessments for evaluating the progression of Parkinson’s Disease are largely qualitative and based on small sets of data obtained from occasional doctor-patient interactions. There is a clinical need to improve the techniques used for mitigating common Parkinson’s Disease symptoms. Available data sets for researching the disease are minimal, hindering advancement toward understanding the underlying causes and effectiveness of treatment and therapies. Mobile devices present an opportunity to continuously monitor Parkinson’s Disease patients and collect important information regarding the severity of symptoms. The evolution of digital technology has opened doors for clinical research to extend beyond the clinic by incorporating complex sensors in commonly used devices. Leveraging these sensors to quantify characteristic Parkinson’s Disease symptoms may drastically improve patient care and the reliability of symptom assessment. The goal of this project is to design and develop a system for measuring and analyzing the cardinal symptoms of Parkinson’s using mobile devices. An application for the iPhone and Apple Watch is developed, utilizing the sensors on the devices to collect data during the performance of motor tasks. Assessments for tremor, bradykinesia, and postural instability are implemented to mimic UPDRS evaluations normally performed by a neurologist. The application connects to a cloud-based server to transfer the collected data for remote access and analysis. Example MatLab analysis demonstrates potential approaches for extracting meaningful data to be used for monitoring the progression of Parkinson’s Disease and the effectiveness of treatment and therapies. High-level verification testing is performed to show general efficacy of the assessment tasks. The system design successfully lays the groundwork for a mobile device-based assessment tool to objectively measure Parkinson’s Disease symptoms