MS, University of Cincinnati, 2020, Engineering and Applied Science: Computer Science

Today, most successful business models widely use software programs to bridge the gap between data and business requirements. Changes in business strategies also require software programs to adapt with it. As a result, the available software products are continuously evolving, and are rapidly changing with new technologies and user requirements. Earlier in 2017, the Ohio Department of Transportation (ODOT) and University of Cincinnati started developing a web application, called the Common Operating Platform (COP), to remotely process the drone-captured images into 3D models using commercial (Pix4D) and open-source (OpenDroneMap). The idea is to engage shared hardware and software resources to perform such complex tasks. The platform immediately gained popularity and actively used by the personnel at ODOT. Preliminary study shows that the Common Operating Platform has a lot of room to incorporate more features. Hence, this thesis introduces the Common Operating Platform v11.0 that comes more complex 3D modeling and visualization workflows. The purpose of this work is to enhance functionality, reliability, efficiency, and usability of the Common Operating Platform. Initially, this document enlists shortcomings of the existing system and proposes new solutions to eliminate these shortcomings. Secondly, the proposed system architecture is compared against the existing architecture. In the final stage, the proposed enhancements are implemented by leveraging commercial (Pix4D) and open-source (MeshLabJS) software tools. Other miscellaneous features to improve system performance, efficiency and reliability are also discussed.

Committee: Arthur Helmicki Ph.D. (Committee Chair); Victor Hunt Ph.D. (Committee Member); Nan Niu Ph.D. (Committee Member) Subjects: Computer Science

MDES, University of Cincinnati, 2013, Design, Architecture, Art and Planning: Design

Given the emergence of mobile technology, the difference of devices and their adjunct operating systems have been progressively enlarged. On devices with varying screen sizes, user interaction and user experience become different. This makes web application design a more complicated task than before in order to meet various compatibility and user experience requirements. To fix this issue, web application design approaches have evolved into two categories: repurposing approach and optimized approach. In this study, I design and develop a cross–device web application by using these two approaches respectively. Usability testing is performed to collect data and user experience comments from respondents. Then analysis of the data shows which approach is more superior in specific situations.

Committee: Benjamin Meyer M.F.A. (Committee Chair); Heekyoung Jung Ph.D. (Committee Member) Subjects: Design

Doctor of Philosophy, The Ohio State University, 2025, Computer Science and Engineering

The super app paradigm, exemplified by platforms such as \textsc{WeChat} and \textsc{AliPay}, has revolutionized the mobile app landscape by enabling third-party developers to deploy add-ons within these apps. These add-ons, known as miniapps, leverage user data hosted by the super app platforms to provide a wide range of services, such as shopping and gaming. Compared to web apps, this paradigm benefits from deeper integration with device resources and critical host app components. This integration elevates super apps to the level of comprehensive ``operating systems”, managing both mobile and web resources. These include peripheral devices like Bluetooth, cloud-based services such as databases, and privacy-sensitive data like account details and phone numbers. However, this expanded access introduces significant security challenges. Malicious actors exploiting vulnerabilities in super apps could impact vast user bases and spread malware through social networks, such as group chats and contact lists, causing severe consequences. Recent studies have highlighted persistent vulnerabilities and design flaws in super apps, making them attractive targets for attackers. The super apps involve complex communication model between users, developers, and platforms, which makes the ecosystem more vulnerable for intrusion when mistrust occurs. On the front-end side, miniapps often have to communicate with other miniapps to accomplish complicated tasks. However, unlike a web app that uses network domains (\ie, IP addresses) to navigate between different web apps, a miniapp uses a unique global {\tt appId} assigned by the super app to navigate between miniapps. Unfortunately, any missing checks of the sender's {\tt appId} in a receiver miniapp can lead to exploitation. On the back-end side, sensitive data access relies on encryption protocol centered around a specific master key. In the early stage of super apps, there is a lack of systematic identification of the leakage, re (open full item for complete abstract)

Committee: Zhiqiang Lin (Advisor); Carter Yagemann (Committee Member); Michael Bond (Committee Member) Subjects: Computer Science

Doctor of Philosophy, Case Western Reserve University, 2023, EECS - Computer and Information Sciences

This dissertation presents a comprehensive approach to advancing proteomics and under-studied proteins in network biology, emphasizing the development of reliable algorithms, fair evaluation practices, and accessible computational tools. A key contribution of this work is the introduction of RoKAI, a novel algorithm that integrates multiple sources of functional information to infer kinase activity. By capturing coordinated changes in signaling pathways, RoKAI significantly improves kinase activity inference, facilitating the identification of dysregulated kinases in diseases. This enables deeper insights into cellular signaling networks, supporting targeted therapy development and expanding our understanding of disease mechanisms. To ensure fairness in algorithm evaluation, this research carefully examines potential biases arising from the under-representation of under-studied proteins and proposes strategies to mitigate these biases, promoting a more comprehensive evaluation and encouraging the discovery of novel findings. Additionally, this dissertation focuses on enhancing accessibility by developing user-friendly computational tools. The RoKAI web application provides a convenient and intuitive interface to perform RoKAI analysis. Moreover, RokaiXplorer web tool simplifies proteomic and phospho-proteomic data analysis for researchers without specialized expertise. It enables tasks such as normalization, statistical testing, pathway enrichment, provides interactive visualizations, while also offering researchers the ability to deploy their own data browsers, promoting the sharing of findings and fostering collaborations. Overall, this interdisciplinary research contributes to proteomics and network biology by providing robust algorithms, fair evaluation practices, and accessible tools. It lays the foundation for further advancements in the field, bringing us closer to uncovering new biomarkers and potential therapeutic targets in diseases like cancer, Alzheimer' (open full item for complete abstract)

Committee: Mehmet Koyutürk (Committee Chair); Mark Chance (Committee Member); Vincenzo Liberatore (Committee Member); Kevin Xu (Committee Member); Michael Lewicki (Committee Member) Subjects: Bioinformatics; Biomedical Research; Computer Science

MS, University of Cincinnati, 2021, Education, Criminal Justice, and Human Services: Information Technology

Neighborhood safety is the seed or cell state of tackling a much bigger issue in large metropolitan cities like Cincinnati. The aim of this study is to present a novel approach for raising awareness of safety of a particular location at a specific time through a web application that can be easily assessed on mobile devices such as smart phones. This development serves as a contribution to new advanced geographic information systems today that can help tackle crime prediction problems in real-time, as criminal activities continue to evolve. The work presented explores various machine learning algorithms to determine how safe a neighborhood is by recommending a `safety score' deduced from records of property crimes within the metropolitan area. To demonstrate the feasibility of this approach, the main focus is on real property crime data from the Cincinnati Police Department for 133,246 incidents of burglary or breaking entry, theft and unauthorized use from 2010 to 2021. The dataset was extracted live from the crime management portal where it is updated daily, and re-engineered to produce victim data to extract fine-grained information such as theft in a particular suburb and the victims involved. The proposed approach falls in line with addressing a much larger socio-economic issue since many previous research efforts have tackled the crime prediction problem by focusing on historical suspect data to determine repeat offenders. This research supports the hypothesis that victim data can be mined in combination with human behavioral activity through mobile devices such as smart phones to avoid repeat victimization. The end product is a responsive web-based application using Streamlit, that combines computed geocoded address with basic demographic information to predict the likelihood of an arrest at the location at a specific time, within the greater Cincinnati area. As the target class categories in the dataset are imbalanced, SMOTE oversampling method was used to so (open full item for complete abstract)

Committee: M. Murat Ozer Ph.D. (Committee Chair); Bilal Gonen Ph.D. (Committee Member) Subjects: Information Technology

Master of Science in Computer Engineering (MSCE), Wright State University, 2020, Computer Engineering

Features and attributes that describe an event (disasters, social movements, etc.) are heterogeneous in nature. For virtually all events that impact humans, technology enables us to capture a large amount and variety of data from many sources, including humans (i.e., social media) and sensors/internet of things (IoTs). The corresponding modalities of data include text, imagery, voice and video, along with structured data such as gazetteers (i.e., location-based data) and government and statistical data. However, even though there is often an abundance of information produced, this information is fragmented across the various modalities and sources. The DisasterRecord system aims to provide a way to combine (interlink and integrate) data streams in different modalities in a meaningful way, with the in-depth use case of flood events. The DisasterRecord project was originally developed as a demo to showcase the efforts of the team at Kno.e.sis in the area of combining and analyzing multimodal data for the IBM CallForCode challenge in 2018. This thesis represents extensive follow-on work in the areas of deployability, flexibility, and reliability. Specific topics addressed are: a method that utilizes current technologies to easily deploy into cloud infrastructure; the modifications made to add flexibility to add and modify the multimodal analysis pipeline; and reliability improvements to make it a stable and reliable system.

Committee: Amit Sheth Ph.D. (Advisor); Krishnaprasad Thirunarayan Ph.D. (Committee Member); Valerie Shalin Ph.D. (Committee Member) Subjects: Computer Engineering; Computer Science; Web Studies

Bachelor of Science (BS), Ohio University, 2019, Computer Science

This accompanying document describes the background, research, and process of creating a web application called Airwaves from the ground up. Spanning from the original concept, to the final working implementation. The purpose of Airwaves is to facilitate interpersonal audio communication and content presentation. The foundational components of the application are: A backend server that provides an API endpoint to the frontend, handles audio processing and delivery, and interfaces with the transcription model. A frontend that provides a straightforward and pleasant user experience for both content creators and consumers. And a transcription model that is capable of transcribing a single speaker audio sample into corresponding text. Together, these components should deliver a user experience that lowers the bar of entry to the market of audio content creation. Justification for the project's commercial viability stems from the success of radio and podcasts as content mediums, as well as the tendency for more versatile and more accessible internet services replacing traditional media structures. The above combined with Airwaves' ability and plan to target live content and interactivity are what make this project novel.

Committee: Razvan Bunescu (Advisor) Subjects: Computer Science; Entrepreneurship

MLIS, Kent State University, 2014, College of Communication and Information / School of Information

Information about the various resources, concepts, and entities in the world of comics can be found in a wide range of systems, including those of libraries, archives, and museums, as well as the records of independent research projects. Semantic Web technologies and standards represent an opportunity to connect these resources using Linked Data. In an attempt to realize this opportunity, this thesis presents a case study for the development of a domain ontology for comic books and comic book collections. In the initial phase, reference resources and example materials were collected and consulted to develop a representative domain model and core schema. A workflow was then developed to convert common CSV data to XML and RDF/XML, replacing common values with LOD URIs using XSLT. The second phase of the study then focused on publishing Linked Data using HTML/RDFa. A review of existing information systems and an analysis of their content was conducted in order to address the usability of the vocabulary, and inform the design of a series of modularized metadata application profiles using the core schema as a base. Examples were tested for their ability to produce valid, meaningful RDF data from HTML content that was consistent with the ontology. The final result is an RDFS/OWL Web vocabulary for comics, titled the Comic Book Ontology (CBO). It is an open and extensible semantic model that identifies comics using two components: (a) the form and (b) the container. This approach allows the Ontology's conceptualization of comics to include comic books, comic strips, web comics, graphic novels, manga, or original artwork, with the potential for further describing other aspects of comics culture and scholarship, or connecting, community created data to Semantic Web applications, such as next-generation library catalogs.

Committee: Marcia Lei Zeng Ph.D. (Advisor); Karen F. Gracy Ph.D. (Committee Member); David B. Robins Ph.D. (Committee Member) Subjects: Information Science; Information Systems; Library Science; Web Studies

Doctor of Philosophy, Case Western Reserve University, 2014, EECS - Computer and Information Sciences

Multimodal electrophysiological data, such as electroencephalography (EEG) and electrocardiography (ECG), are central to effective patient care and clinical research in many disease domains (e.g., epilepsy, sleep medicine, and cardiovascular medicine). Electrophysiological data is an example of clinical 'big data' characterized by volume (in the order of terabytes (TB) of data generated every year), velocity (gigabytes (GB) of data per month per facility) and variety (about 20-200 multimodal parameters per study), referred to as '3Vs of Big Data.' Current approaches for storing and analyzing signal data using desktop machines and conventional file formats are inadequate to meet the challenges in the growing volume of data and the need for supporting multi-center collaborative studies with real-time and interactive access. This dissertation introduces a web-based electrophysiological data management framework called Cloudwave using a highly scalable open-source cloud computing approach and hierarchical data format. Cloudwave has been developed as a part of the National Institute of Neurological Disorders and Strokes (NINDS) funded multi-center project called Prevention and Risk Identification of SUDEP Mortality (PRISM). The key contributions of this dissertation are: 1. An expressive data representation format called Cloudwave Signal Format (CSF) suitable for data-interchange in cloud-based web applications; 2. Cloud based storage of CSF files processed from EDF using Hadoop MapReduce and HDFS; 3. Web interface for visualization of multimodal electrophysiological data in CSF; and 4. Computational processing of ECG signals using Hadoop MapReduce for measuring cardiac functions. Comparative evaluations of Cloudwave with traditional desktop approaches demonstrate one order of magnitude improvement in performance over 77GB of patient data for storage, one order of magnitude improvement to compute cardiac measures for signal-channel ECG data, and 20 times improv (open full item for complete abstract)

Committee: Guo-Qiang Zhang PhD (Committee Chair); Satya Sahoo PhD (Committee Member); Xiang Zhang PhD (Committee Member); Samden Lhatoo MD, FRCP (Committee Member) Subjects: Bioinformatics; Biomedical Research; Computer Science; Neurosciences

MS, University of Cincinnati, 2000, Engineering : Electrical Engineering

As image processing techniques become more and more applicable, major changes are taking place: image processing algorithms become more complicated and powerful machines with faster CPU and larger memory size are required to handle them; the number and variety of image processing algorithms become larger and larger, and are updated and modified by developers more frequently; the amount of image data used for processing become larger and larger that it is impossible to store them in a normal PC or workstation. All the above trends along with the boom of the Internet usage make it desirable to design a distributed image processing application system such that we can provide image processing as a service to end users across the Internet. The object of this thesis is to design and implement a flexible, convenient and scalable Web-based distributed image processing application system, through which, users can use the latest, complicated image processing service without much installation and configuration tasks, while algorithm developers can add new image processing methods and update existing ones in a convenient way. In this work, we focus on presenting basic concepts and ideas and introduce related technologies and issues that need special attention with respect to image processing and distributed application design. A simple implementation of the system prototype with illustrative examples and analysis are also provided to demonstrate the working of the system.

Committee: Dr. William Wee (Advisor) Subjects:

MS, University of Cincinnati, 2010, Engineering and Applied Science: Computer Engineering

In today's health care environment, clinicians are under intense pressure to provide high quality care for an ever-increasing array of ailments. The time requirements associated with caring for many patients often impact the time available for staying current with new research on therapies and other treatment options. Clinical decision support systems (CDSSs) offer a way to improve clinical outcomes by giving clinicians access to a universe of timely and relevant information in a way that builds upon his or her existing knowledge. In this thesis we describe the creation of one such CDSS (we call CHRISTINE) starting with a description of the problem space then continuing with search for existing solutions, our solution and its implementation, a case study of how our solution would be used on an example patient, an evaluation of our solution, and an interview with a clinician about our CDSS and the future of clinical decision support.

Committee: Karen Davis PhD (Committee Chair); Carla Purdy, C PhD (Committee Member); John Pestian PhD (Committee Member) Subjects: Computer Science

MS, University of Cincinnati, 2003, Engineering : Industrial Engineering

The field of robotics has benefited enormously from W.W.W (World wide web) – a technology that has taken the world by storm and changed the very way information is perceived & processed. Human – mobile robot interactions can always pose a serious threat to the person(s) operating the robot. The University of Cincinnati robot team apparently faces difficulties when it takes the robot out for either a test-drive or for contest/presentations. Bearcat III is presently controlled by a C++ algorithm invoked from keyboard commands. Sometimes, robot speed builds up with continuous keystrokes (forward/reverse) and the robot suddenly jerks, posing threat to the person(s) operating. This work aims to implement a web control system of Bearcat III that will minimize man-machine interactions. A web interface was developed to control the robot from the internet. This interface consists of a portable java web application that communicates with the already existing C++ code (Heart of Bearcat III). The application is accessible by means of front-end JSP pages to any computer connected to the internet. This JSP front end communicates with Java servlets (server side java programs), which in turn invoke the C++ programs through JNI (Java Native Interface). This application will rely on live video streaming of the Bearcat III robot in space. The robot will be relayed live on a JSP page, so that a web user can use the appropriate controls on the web page and move the robot. The result is, everything can be controlled from this web interface and probably from a remote computer without manually typing keys in the robot's computer.This application will greatly minimize the human interaction with robot. Also, since Java has the capability to interface with native languages like C++ & C, various other systems of the robot can also be configured & controlled from web. The application will open new avenues for other functions on the robot's system to be controlled from web.

Committee: Dr. Ernest L. Hall (Advisor) Subjects: Engineering, Industrial

MDes, University of Cincinnati, 2003, Design, Architecture, Art, and Planning : Design

In an urban park system, pervasive computing promises to supplement all aspects of a park visit with relevant information resources. The result is an understanding of the park system that facilitates visitation and the integrated, educational experience of nature.This thesis explores the development of on-line information resources for Cincinnati Parks. A Park Finder and Park Guide are utilities designed for the desktop and mobile computing environments, respectively. The Park Finder matches user interests with the available parks and opportunities. Interactive maps are used to display layers of information such as the parks that have hiking or the location of a trail at a specific park. The Park Guide enhances the actual park visit. After selecting a park, electronic nature guides provide information about trails, birds, flowers and many other topics. Both utilities work together, at different stages of the park visit, to provide contextually purposed information.

Committee: Karen Monzel (Advisor) Subjects:

Master of Education (MEd), Ohio University, 2011, Computer Education and Technology (Education)

Nearly every college student now owns either a smartphone or a laptop, sometimes both. With so much technology now used across college campuses, it is time for university programs to embrace the technology and start addressing students' technological needs. The Supplemental Instruction (SI) program offers few online resources to students. To provide online resources, the SI web application was developed for students to access from their smartphone's and laptops. The web application provides study guides and worksheets to help students succeed in historically difficult university courses. Using three different surveys, Google Analytics, and data provided by the SI program, the impact of implementing a web application into the SI program was evaluated. The results show that students used SI more than in previous quarters, as well as achieved higher grades during the quarter in which the web application was implemented.

Committee: Teresa Franklin PhD (Advisor); George Johanson PhD (Committee Member); Fei Gao PhD (Committee Member) Subjects: Education; Educational Technology; Higher Education; Information Technology; Technology; Web Studies

Master of Science (MS), Ohio University, 2001, Electrical Engineering & Computer Science (Engineering and Technology)

A knowledge-based technology advising system for web-based application development

Committee: Constantinos Vassiliadis (Advisor) Subjects:

Master of Computer Science, Miami University, 2012, Computer Science and Software Engineering

This thesis suggests a software architecture for a video discussion board using the Online Language Environment (OLE) Board as a case study. A more suitable architecture will enable it to meet its goals. Goals for the new board are to support future developers and users. Developer-oriented goals are ease of readability, maintenance, and enhancement. User-oriented goals are ease of use, new or improved features such as data collection, and enhanced security. The old system is out of date, making planned expansion difficult. The new system uses a Model-View-Controller architecture utilizing updated frameworks. Updated protocols based on XML were introduced, and elements were added to allow for new features. Developer goals have been met with minimal drawbacks. The new board was used by 42 students at the University of Aizu and Rose-Hulman Institute of Technology. New features proved useful and security was increased, with some decrease in usability during initial testing.

Committee: Dr. Douglas Troy (Advisor); Dr. Scott Campbell (Committee Member); Dr. Paul Lyddon (Committee Member) Subjects: Computer Science; Educational Software; Educational Technology

Master of Science, University of Akron, 2007, Computer Science

This thesis describes the design and implementation of OLAP Reporting Application using Microsoft® Office Web Components. Online Analytical Processing (OLAP) is used in wide variety of business applications to analyze the data and this helps in querying multidimensional data. Using Microsoft Office Web Components we can build a web based OLAP Reporting Applications. Microsoft Office Web Components are a collection of ActiveX controls. These are used for adding spreadsheet, chart, and data-manipulation functionality to Web pages and for viewing the added components on the Web. The Office Web Components are programmable, we can use them to build rich and interactive web-based solutions in many design environments, including Microsoft FrontPage, Microsoft Access data access pages, and Microsoft Visual Basic. We can also publish the Office Web Components directly from Microsoft Excel. And the user cannot display these components in Microsoft Word like any of the other environments. In this thesis I designed a web based application which allows the user to connect to an OLAP data source and run queries. And the user can copy the components from the web page into the Microsoft Word using Object Embedding Technique which serves the above purpose. Application developers can reuse this code instead of doing it from scratch which reduces the time of coding.

Committee: Chien-Chung Chan (Advisor) Subjects: Computer Science