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  • Active Supervision, Precorrection, and Explicit Timing: A High School Case Study on Classroom Behavior

    Article thumbnail: Active Supervision, Precorrection, and Explicit Timing: A High School Case Study on Classroom Behavior
    Type:
    Article
    Description/Abstract:
    One proactive approach to increasing student engagement in schools is implementing Positive Behavior Intervention and Support (PBIS) strategies. PBIS focuses on prevention and concentrates on quality-of-life issues that include improved academic achievement, enhanced social competence, and safe learning and teaching environments. This study is a replication of a study that investigated the combination of active supervision, precorrection, and explicit timing. The purpose of the study was to decrease student problem behavior, reduce transition time, and support maintenance of the intervention in the setting. Results show that active supervision, precorrection, and explicit timing decreased student problem behavior, decreased the duration of transitions in two instructional periods, and the intervention was maintained in the setting. Implications, limitations, and future research are discussed. Keywords: active supervision, explicit timing, Positive Behavior Intervention and Support, precorrection, urban education
    Creator/Author:
    Kroeger, Stephen and Haydon, Todd
    Submitter:
    Stephen Kroeger
    Date Uploaded:
    02/08/2016
    Date Modified:
    08/11/2016
    License:
    All rights reserved

  • Application of Autoencoder Duets in Anomaly and Intrusion Detection

    Article thumbnail: Application of Autoencoder Duets in Anomaly and Intrusion Detection
    Type:
    Article
    Description/Abstract:
    Signature-based intrusion detection methods report high accuracy with a low false alarm rate. However, they do not perform well when faced with new or emerging threats. This work focuses on anomaly-based data driven methods to identify potential zero-day-attacks using a specific class of neural networks known as the autoencoder.
    Creator/Author:
    Li, Chengcheng; Lee, Kijung; Mathur, Nitin, and Gonen, Bilal
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2020-04-14
    License:
    All rights reserved

  • Automated Reporting System for Funding and Grants Tracking for Juvenile Correctional Programs

    Article thumbnail: Automated Reporting System for Funding and Grants Tracking for Juvenile Correctional Programs
    Type:
    Article
    Description/Abstract:
    Proceedings of the 2018 Information Technology Research Symposium
    Creator/Author:
    Information Technology Research Symposium
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    08/21/2018
    Date Modified:
    05/23/2019
    Date Created:
    2018-04-10
    License:
    All rights reserved

  • Challenges in Intelligent Applications development

    Article thumbnail: Challenges in Intelligent Applications development
    Type:
    Article
    Description/Abstract:
    Intelligent Application if defined technically is a strategy that uses hyper-personalized mobile app experiences and services and knowledge-extraction processes to increases the user experience (Jessica Ekholm, 2017). In simple words, the applications that not only know how to support or enable key decisions but also continually learn from the user interactions to become even more relevant and valuable to those users, are known as Intelligent apps. Such applications are smart enough to differentiate between relevant and irrelevant information with the help of AI algorithms. Moreover, these apps have the capability to ease the complex task into the as simple task as a single touch.
    Creator/Author:
    Ajmera, Himanshu
    Submitter:
    Himanshu Ajmera
    Date Uploaded:
    04/16/2019
    Date Modified:
    05/23/2019
    Date Created:
    2017-12-13
    License:
    All rights reserved

  • A Community-based Approach to Co-Managing Privacy and Security in Smart Homes

    Article thumbnail: A Community-based Approach to Co-Managing Privacy and Security in Smart Homes
    Type:
    Article
    Description/Abstract:
    This study proposes enhanced oversight of smart homes by leveraging the social networks of homeowners to co-monitor for emergencies, while being mindful of privacy preserving features necessary for adoption. A pilot co-design workshop was conducted to determine features for co-monitoring. A group of four participants provided early findings and informed modifications to study design, and new insights for user behavior were emphasized. By refining the study design, we hope to better target users’ tacit knowledge in future workshops. Early findings include the users’ need for more than simply sharing access to a camera during an emergency in the home; users desired control over the microphone, the camera video stream, and the length of time. We believe this work will contribute to a broader understanding of features that better meet the needs and goals of smart device owners to enable co-monitoring.
    Creator/Author:
    Brandopadhayay, Rajdeep; Halse, Shane; Elrod, Nathan J.; Kropczynski, Jess, and Burden, Eric
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2020-04-14
    License:
    All rights reserved

  • Crime Hot Spots: Proposing a new model for appropriate identification of crime hot spots

    Article thumbnail: Crime Hot Spots: Proposing a new model for appropriate identification of crime hot spots
    Type:
    Article
    Description/Abstract:
    This research focuses on two fundamental aspects of hot spot policing that have been widely neglected by previous scholarly research. These aspects include the adequate concentration of crime at a smaller geographical unit to be considered a crime hot spot, and the cost-benefit implication of focusing limited police resources on such a smaller place in an effort to prevent criminal activities. Substantial limitations in call-t- service data from police departments raise concern on the purported concentration of crime at places that warrant such strategy in the first place. We will examine data from the Cincinnati Police Department and propose guidelines on adopting a threshold when designating places as crime hot spots, using time and cost-benefit analysis as key determinants.
    Creator/Author:
    Hussein, Abdul Aziz and Ozer, Murat
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2020-04-14
    License:
    All rights reserved

  • Cyber Threats and Security for Small Business

    Article thumbnail: Cyber Threats and Security for Small Business
    Type:
    Article
    Description/Abstract:
    Currently, there are many threats to small businesses, from simple employee mishandling of sensitive data to hackers attempting to breach systems for consumer data. In this paper, I attempt to review what threats businesses are currently facing, current challenges to implementing a security program, and possible ways to implement a security solution. Keywords: Information Security, Cyber Security, Least Privilege, Risk Mitigation, Small Business, Trojan, Phishing, Malware, Ransomware, Skimmers, Security Program
    Creator/Author:
    Lindsay, Brandon
    Submitter:
    Brandon Lindsay
    Date Uploaded:
    02/22/2018
    Date Modified:
    02/22/2018
    Date Created:
    2017-12-04
    License:
    All rights reserved

  • Developing Standardized Guidelines for Medical Virtual Reality Training

    Article thumbnail: Developing Standardized Guidelines for Medical Virtual Reality Training
    Type:
    Article
    Description/Abstract:
    In the field of information technology, virtual reality and simulation learning have become huge trends, not only in gaming and entertainment, but also in academic fields such as medicine. In the past, medical training has always been costly in providing tools and resources for entry-level medical students to acquire proper training. Medical training conducted in a virtual environment has not only yielded higher success rates, but has also reduced resource costs overall. However, with no standardized guidelines for conducting certain training regimens and learning skills, there are still studies that show some medical training programs do not produce the best results. This research focuses on analyzing the usage of virtual reality in current medical training programs to design a medical, virtual reality, training program. This program will revolve around entry-level medical students who will be attending the University of Cincinnati’s College of Medicine. This research proposal will not only examine previous research on the utilization of virtual reality in various types of medical training, but also discuss the potential benefits of developing this training program at UC.
    Creator/Author:
    Feng, Bowen
    Submitter:
    Bowen Feng
    Date Uploaded:
    04/26/2018
    Date Modified:
    05/23/2019
    Date Created:
    2017-12-07
    License:
    Public Domain Mark 1.0

  • DoD Requirements Toolkit for Manufactures

    Article thumbnail: DoD Requirements Toolkit for Manufactures
    Type:
    Article
    Description/Abstract:
    Proceedings of the 2018 Information Technology Research Symposium
    Creator/Author:
    Information Technology Research Symposium
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    08/21/2018
    Date Modified:
    05/23/2019
    Date Created:
    2018-04-10
    License:
    All rights reserved

  • Does the One-China policy shape the People’s Republic of China’s foreign policy?: Soft, sharp, and hard power

    Article thumbnail: Does the One-China policy shape the People’s Republic of China’s foreign policy?: Soft, sharp, and hard power
    Type:
    Article
    Description/Abstract:
    This analytical paper asks, does the One-China policy shape the People’s Republic of China’s foreign policy? This paper begins by briefly defining the One-China policy and situating it in the respective histories of China and its current incarnation as the People’s Republic of China (PRC). Then, after untangling the often muddled classifications of soft, sharp, and hard power, the question is interrogated in the context of each class of power (Nye, 2004; Nye, 2011; Nye, 2018; Raby, 2019; Walker & Ludwig, 2017). This analytical essay concludes that the PRC does employ predominantly sharp and hard power strategies that are heavily influenced by the One-China policy.
    Creator/Author:
    Turner, Grant
    Submitter:
    Grant Turner
    Date Uploaded:
    07/07/2020
    Date Modified:
    07/08/2020
    Date Created:
    August 11, 2019
    License:
    Attribution-NonCommercial-ShareAlike 4.0 International

  • Enhancing Physical and Cyber Security of Smart Homes using Co-Monitoring of IoT Devices

    Article thumbnail: Enhancing Physical and Cyber Security of Smart Homes using Co-Monitoring of IoT Devices
    Type:
    Article
    Description/Abstract:
    Devices in the Internet of Things (IoT) have enhanced our ability to automate functions in smart homes and increased our ability to monitor day to day activities regardless of whether we are in our home. Despite these benefits of IoT devices, it is the case that notifications about threats to our home when we are away are typically only sent to one or two people within the home. We proposed enhanced monitoring of threats by allowing temporary access to IoT devices to extended networks of homeowners in situations where primary IoT device owners are not able to address a smartphone notification quickly.
    Creator/Author:
    Agrawal, Dev
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2019-04-11
    License:
    All rights reserved

  • Explaining the Relationship between Internet and Democracy in Partly Free Countries Using Machine Learning Models

    Article thumbnail: Explaining the Relationship between Internet and Democracy in Partly Free Countries Using Machine Learning Models
    Type:
    Article
    Description/Abstract:
    Previous studies have offered a variety of explanations on the relationship between democracy and the internet. Some argue that with free access to information, knowledge sharing without any constraint, and the spread of political knowledge, the internet will help change people’s political attitudes and spread democracy. Other studies found that authoritarian regimes by censoring the internet, tracking the political activist, prosecuting the dissidents, and using the internet to spread their propaganda limit the democratization. Also, some studies explored the effects of diffusion of false news through the internet and especially via social media. However, most of these studies concentrate on regions, specific states or authoritarian regimes. No study has investigated the influence of the internet in partly free countries defined by the Freedom House. Moreover, very little is known about the effects of online censorship on the development, stagnation, or decline of democracy. To fully understand the impact of the internet and online censorship on democratization in partly free countries, we must explore these relationships in these countries. Drawing upon the International Telecommunication Union, Freedom House, and World Bank reports and using machine learning methods, this study sheds new light on the effects of the internet on democratization in partly free countries. The findings suggest that internet penetration and online censorship both have a negative impact on democracy scores and the internet’s effect on democracy scores is conditioned by online censorship. Moreover, results from random forest suggest that online censorship is the most important variable followed by governance index and education on democracy scores.
    Creator/Author:
    Varlioglu, M. Said and Sagir, Mustafa
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2020-04-14
    License:
    All rights reserved

  • Finding Actionable Information on Social Media

    Article thumbnail: Finding Actionable Information on Social Media
    Type:
    Article
    Description/Abstract:
    A great deal of data is generated every day on social media, although this information is used for marketing purposes regularly, it has the potential to serve other purposes, such as in crisis management. This study focuses on collecting data from social media, specifically Twitter, in order to help 911 telecommunicators (floor supervisors, call takers, and dispatchers) to 1) identify Twitter users requesting assistance during a crisis, 2) identify information that may be useful to incidents that were called into 911, and 3) pass the information to the first responders (police, fire, and emergency medical services). Previous research in this area can be summarized into three stages. First, a set of information requirements has been developed that must be satisfied to dispatch first responders and meet their immediate awareness needs. Second, a coding schema has been presented to identify six types of actionable information. Finally, it proposed automated methods based on previous literature which can be used to implement these methods in the future (Kropczynski et al. 2018). This research concentration is on refining social media data by starting with finding local tweets that contain this information and recognize patterns of how it is used. Next, patterns will be used in the development of automated methods in the future. The contribution of this work is extending the coding schema of the 6Ws and put it on an action, develop an interface to view the data of social media separated by the 6Ws. It will begin with just on of the six Ws (Weapons).
    Creator/Author:
    Abdelhalim, Ammar Ahmed
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2019-04-11
    License:
    All rights reserved

  • Guidelines for Establishing A Software Support Practice

    Article thumbnail: Guidelines for Establishing A Software Support Practice
    Type:
    Article
    Description/Abstract:
    Proceedings of the 2018 Information Technology Research Symposium
    Creator/Author:
    Information Technology Research Symposium
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    08/21/2018
    Date Modified:
    05/23/2019
    Date Created:
    2018-04-10
    License:
    All rights reserved

  • How the UK Can Lead in 5G and 6G Security and Standards

    Article thumbnail: How the UK Can Lead in 5G and 6G Security and Standards
    Type:
    Article
    Description/Abstract:
    The UK has created one of the best tools for mitigating Huawei’s risks. Whether or not the UK Huawei ban stands, its Huawei Cyber Security Evaluation Centre should receive increased funding and support to protect and enhance its interests at home and abroad.
    Creator/Author:
    Huang, Russell and Turner, Grant
    Submitter:
    Grant Turner
    Date Uploaded:
    08/14/2020
    Date Modified:
    08/14/2020
    Date Created:
    2020-08-14
    License:
    Attribution-NonCommercial-ShareAlike 4.0 International

  • Implementation of a hybrid machine learning technique for network intrusion detection

    Article thumbnail: Implementation of a hybrid machine learning technique for network intrusion detection
    Type:
    Article
    Description/Abstract:
    The current rapid growth in the computer and internet development has ushered in numerous cybersecurity challenges which are constantly evolving with time. The current cybersecurity solutions are no longer optimal in tackling these emerging cyber threats and attacks. This paper proposes the creation of a cybersecurity dataset to be used for a hybrid machine learning (ML) approach of supervised and unsupervised learning for an effective intrusion detection system. The proposed model entails a five-stage process which starts at the setup of a simulated network environment of network attacks to generate a dataset which feeds into the data normalization stage and then to data dimension reduction stage using the principal component analysis as a feature extraction method after which the data of reduced dimension is clustered using the k-Means method to bring about a new data set with fewer features. This new dataset is afterward classified using the enhanced support vector machine (ESVM). The proposed model is expected to provide a high-quality dataset and an efficient intrusion detection system in terms of intrusion detection accuracy of 99.5%, short train time of 3seconds and a low false-positive rate of 0.4%.
    Creator/Author:
    Eichie, Maxwell
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2020-04-14
    License:
    All rights reserved

  • Integrating NIST Framework into FAIR model for Quantitative Risk Assessment of Cyber Threats

    Article thumbnail: Integrating NIST Framework into FAIR model for Quantitative Risk Assessment of Cyber Threats
    Type:
    Article
    Description/Abstract:
    As incessant cyber-attacks on organizations increase in complexity and destructiveness with the aim to disrupt services and steal information, proactive measures are critically needed to mitigate these attacks, cyber security risk assessment tops the list of measures. This study provides an overview of cybersecurity risk assessment, various types of frameworks, and the difference between qualitative and quantitative cybersecurity risk assessments. The aim of this early research is the creation of a hybrid system which integrates an existing cybersecurity risk assessment system based on the NIST framework into the Factor Analysis of Information Risk (FAIR) model, an analytic risk assessment model that enables true quantitative measurement. In this study, we propose a hybrid-assessment tool which will be used to describe and compare the impact of using NIST driven values as inputs for the resistance strength to determine the Loss Event Frequent (LEF) and Annual Loss Expectancy (ALE) of a risk scenario as opposed to using experts’ opinion as user inputs for determination of the LEF and ALE values.
    Creator/Author:
    Gilany, Yahya; Kunapareddy, Vivek; Bakare, Adeyinka, and Said, Hazem
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2019-04-11
    License:
    All rights reserved

  • Intrusion Detection System in Smart Home Network Using Artificial Immune System and Extreme Learning Machine Hybrid Approach

    Article thumbnail: Intrusion Detection System in Smart Home Network Using Artificial Immune System and Extreme Learning Machine Hybrid Approach
    Type:
    Article
    Description/Abstract:
    Internet of Things (IoT) enabled smart homes to have made our daily lives easier, but these conveniences have also introduced security concerns. IoT devices hold security risks as well as smart home hubs and gateways. Gateways present a centralized point of communication among devices that can create a backdoor into network data for hackers but also present a detection opportunity. Intrusion detection is a common way to detect anomalies in network traffic. This paper introduces early work on an intrusion detection system (IDS) by detecting anomalies in the smart home network using Extreme Learning Machine and Artificial Immune System (AIS ELM). AIS uses the clonal Algorithm for the optimization of the input parameters, and ELM analyzes the input parameter for better convergence in detecting anomalous activity. The larger goal of this work is to apply this approach to a smart home network gateway and combined it with a push notification system that will allow the homeowner to identify any abnormalities in the smart home network and take appropriate action.
    Creator/Author:
    Alalade, Emmanuel Dare
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2020-04-14
    License:
    All rights reserved

  • IoT Emergency Detection Devices

    Article thumbnail: IoT Emergency Detection Devices
    Type:
    Article
    Description/Abstract:
    In a world where technology continues to vastly grow and improve, IoT devices have increasingly become more and more a part of people’s everyday lives. Although that is the case there is a need to understand how to better use these devices for threat detection. This paper presents early work to understand gaps in this regard using a review of previously used techniques to identify known threats to households. Through the use of smart home device clusters we seek to effectively reduce the amount of false alarms and create a more reliable resource for home residents.
    Creator/Author:
    Tresenwriter, Isaac
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2020-04-14
    License:
    All rights reserved

  • Kinesthetic Learning Potential in Mixed Reality

    Article thumbnail: Kinesthetic Learning Potential in Mixed Reality
    Type:
    Article
    Description/Abstract:
    Virtual Reality’s recent commercialization has created a potential for its implementation into classroom and training environments. Past adoptions of this technology and their efficacy are explored in the literature review. This paper outlines the possibility of combining current VR technology with custom hardware allowing the user to interact with physical and mechanical object within virtual worlds and its implication on the future of kinesthetic learning and training in hazardous or expensive scenarios.
    Creator/Author:
    Keller, Ian
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2019-04-11
    License:
    All rights reserved

  • A LOOK AT EDGELESS HYBRID-CLOUD INFRASTRUCTURE – AN OPTIMIZED SOLUTION FOR MULTI-SITE BACKUP, DISASTER RECOVERY AND HIGH AVAILABILITY

    Article thumbnail: A LOOK AT EDGELESS HYBRID-CLOUD INFRASTRUCTURE – AN OPTIMIZED SOLUTION FOR MULTI-SITE BACKUP, DISASTER RECOVERY AND HIGH AVAILABILITY
    Type:
    Article
    Description/Abstract:
    Cloud computing has been one of the major disruptive technology of this century changing the entire face of IT infrastructure across all spectrum. This has led to tremendous development, improvement and cost efficient means of securing IT infrastructures. Virtualization is the backbone driving the numerous cloud solutions and also making them marketable in the pay-as-you-use mechanism for all kind of deployment. This research is focus on improving the security and performance of cloud storage, backup and disaster recovery by evaluating the possibility of eliminating the Recovery Point Objective (RPO) and Recovery Time Objective (RTO). A live synchronization between production and Disaster Recovery (DR) sites is presented. We considered the mechanism behind Virtual Machines (VM) and hypervisor interaction with physical memory on host computers and evaluated the ability of VM to read/write directly to a unified multiple storage locations. Dependencies, requirements and guidelines for implementing this solution would also be analyzed.
    Creator/Author:
    Li, Chengcheng and Efosa, Ogbomo
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2019-04-11
    License:
    All rights reserved

  • Major Depressive Episode among Adolescents: A National Study Examining the Impact of Parenting Behaviors

    Article thumbnail: Major Depressive Episode among Adolescents: A National Study Examining the Impact of Parenting Behaviors
    Type:
    Article
    Description/Abstract:
    Major depressive episode (MDE) among adolescents is a significant public health issue. Approximately, 4.5 million adolescents have experienced an MDE in the past year. This study examined whether MDEs among adolescents differed based on specific parenting behaviors. A national sample of adolescents ages 12 to 17 years (n = 11,572) completed the 2023 National Survey of Drug use and Health. Univariate and multivariable logistic regression analyses were conducted to determine whether lifetime and past year MDE differed based on parenting behaviors. Results indicated that adolescents at highest risk for both lifetime and past-year MDE were female, older (14-15 or 16-17-years-old), and white. Regarding parenting behaviors, adolescents at highest risk for lifetime and past-year MDE were those who had parents never/seldom check their homework, never/seldom help with their homework, never/seldom limit the amount of TV, never/seldom tell them they did a good job, never/seldom tell them they were proud of them, and who argued/fought with them ten or more times in the past year. These findings show the intricate relationship between adolescent MDE and parenting behaviors. Public health educators should encourage parents to engage in authoritative parenting behaviors (defined as high levels of parental support, warmth, and clear expectations) to help prevent MDE among adolescents. Findings should be used to assist program developers in incorporating parenting components in MDE prevention and treatment efforts.
    Creator/Author:
    Mahabub, Md Saif; Vidourek, Rebecca A.; Merianos, Ashley L., and King, Keith A.
    Submitter:
    Md Saif Mahabub
    Date Uploaded:
    08/06/2026
    Date Modified:
    08/06/2026
    Date Created:
    2025-10
    License:
    Attribution-NonCommercial 4.0 International

  • A methodology for cyberthreat ranking

    Article thumbnail: A methodology for cyberthreat ranking
    Type:
    Article
    Description/Abstract:
    National Institute of Standards and Technology (NIST) recommends that organizations perform cyber risk assessments regularly to identify security vulnerabilities and to control levels of exposure to threats. We discuss a method to customize the ranking of cyber threats based on the organization’s maturity level of implementing NIST controls and we use FAIR model’s LEF component as a measure of the severity of cyber threats. The methodology integrates NIST maturity levels to calculate the resistance strength factor and produce the LEF values for each threat. The LEF value is then used to represent the severity level of the threat to the specific organization. This hybrid risk assessment approach will help stakeholders make data-informed decisions on improving security measures and provide accurate values that represent the current security state of their organization.
    Creator/Author:
    Bakare, Adeyinka and Said, Hazem
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2020-04-14
    License:
    All rights reserved

  • Minimal Criteria: Minimizing User Input and User Interface for Faster Output in Minimalistic Mobile Applications

    Article thumbnail: Minimal Criteria: Minimizing User Input and User Interface for Faster Output in Minimalistic Mobile Applications
    Type:
    Article
    Description/Abstract:
    The principles of minimalist design are evident in much of the technology we use today. This is especially the case with mobile applications. The most successful of which attempt to minimize the amount of user input needed to provide users with the information they are seeking. Although many mobile applications use data gathered by in-system activity such as a GPS to minimize input from users—some systems require user input, such is the case with roommate matching. This study utilizes the RoomUP mobile application as a testbed to define minimal criteria that can be used to gather user input and produce a compatible roommate match. Participatory design with prospective student users is used to reduce the number of variables and provide recommendations for a minimalistic user interface. The resulting prototype is then used to verify that it meets design goals and supports a satisfactory user experience.
    Creator/Author:
    Maddirala, Sumanth
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2019-04-11
    License:
    All rights reserved

  • OPTIMIZING PATIENT-CENTERED MOBILE APPLICATIONS USING DATA MINING TECHNIQUES

    Article thumbnail: OPTIMIZING PATIENT-CENTERED MOBILE APPLICATIONS USING DATA MINING TECHNIQUES
    Type:
    Article
    Description/Abstract:
    The healthcare industry is thriving and the abundant amount of data involved raises call for help relating to managing and maintaining them. It becomes a hassle to keep the data in it’s required place and to pull and retrieve whenever necessary. The search for a proper data mining technique to enhance the process is always appreciated and encouraged. Our era is controlled by the upcoming technologies that are fast paced and yield great results. There is always a scope for improvement and optimization. Every individual from every generation has been an avid user of mobile phone and its applications. Healthcare facilities have slowly begun to depend on applications and technologies associated and supported by mobile phones and other networking platforms in order to have everyone within the facility and also the patients who have ties to the facility have access to the information that they are entitled to have.
    Creator/Author:
    Kaushik, Sanjana
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2019-04-11
    License:
    All rights reserved

  • An Overview of the next phase of Virtualization

    Article thumbnail: An Overview of the next phase of Virtualization
    Type:
    Article
    Description/Abstract:
    Hypervisor-based hardware virtualization- also known as the first phase of virtualization uses Virtual Machines (VM) to provide better hardware resource utilization and application isolation. A VM provides some level of portability, but still requires a full operating system (OS) with all the binaries and libraries required to run the service it hosts. Therefore, moving an application from a development to a production environment for instance is no different than moving them between two Physical Machines (PM). Container-based virtualization-sometimes known as the next phase of virtualization addresses some of these limitations by providing virtualization at the OS level. Docker is an open source engine launched in 2013 by a company called Docker, Inc. Docker is used to manage the lifecycle of containers. Using containers, it is no longer necessary to dedicate an entire VM to an application in order to provide isolation, thus saving OS license costs. In this project we plan to formulate a generic model that can be used to fine tune a container-based setup for maximum performance benefit.
    Creator/Author:
    Chengcheng Li and Nitin Mathur
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2019-04-11
    License:
    All rights reserved

  • Predicting Future Shooting Crime Locations Using Principles of Data Analytics (SHOPS)

    Article thumbnail: Predicting Future Shooting Crime Locations Using Principles of Data Analytics (SHOPS)
    Type:
    Article
    Description/Abstract:
    Shooting crime is a serious public health problem in the US. The analysis of any historical crime data reveals that crime is non-randomly distributed in time and space. Based on this notion, hot spots policing has gained its momentum to effectively predict future crime locations. Recent studies; however, pointed out that traditional hot spots policing occasionally predict rare crimes such as homicides and shootings due to their less frequent recurring counts in a given place and time (specifically for shorter time periods such as weeks and months). Given this context, we developed a new shooting prediction system (SHOPS) to explore whether recent dynamic/mobility activity patterns of known violent individuals increase the prediction of short-term fatal and non-fatal shootings compared to the traditional hot spots policing. Findings suggest that SHOPS predicts fatal and non-fatal shooting locations more precisely by identifying fewer hotspot locations. Policy implications of the study were discussed in the conclusion section.
    Creator/Author:
    Varlioglu, M. Said and Ozer, Murat
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2019-04-11
    License:
    All rights reserved

  • PREDICTION AND DETECTION OF DEPRESSION USING FOREST TREE ALGORITHM

    Article thumbnail: PREDICTION AND DETECTION OF DEPRESSION USING FOREST TREE ALGORITHM
    Type:
    Article
    Description/Abstract:
    Depression is a common illness that negatively affects feelings, thoughts and behaviors and can harm regular activities like sleeping. It is a leading cause of disability and many other diseases (Choudhury, et al 2013, Mathur et al, 2016, Watkins et al, 2013). According to WHO (World Health Organization) 1 statistics, more than 300 million people over the world are affected in depression and in each country at least 10% are provided treatment. Poor recognition and treatment of depression may aggravate heart failure symptoms, precipitate functional decline, disrupt social and occupational functioning, and lead to an increased risk of mortality (Cully, et al 2009). Early detection of depression is thus necessary. Unfortunately the rates of detecting and treating depression among those with medical illness are quite low (Egede, 2007). This research proposes a solution of using random forest classifier algorithm to detect and predict detection. A mobile application will be developed in order to collect user data and make prediction.
    Creator/Author:
    Halliday, Nnennaya
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2019-04-11
    License:
    All rights reserved

  • The Pulse of a Nation: A Study on the Cybersecurity Issues Plaguing the Healthcare Industry

    Article thumbnail: The Pulse of a Nation: A Study on the Cybersecurity Issues Plaguing the Healthcare Industry
    Type:
    Article
    Description/Abstract:
    In this paper, I study how medical records are being used by cyber-criminal for financial gain and patient manipulation. I studied what kind of criminal organizations may be involved in these operations and confirmed incidents from the black market. I conducted a literature review which generated several sources from online databases. I determined five major criminal factions that are most likely to use compromised medical records, determined possible motivations and looked at several cases of medical records being sold on the black market. The healthcare industry’s digitization efforts have left it tremendously ill-equip to combat emerging threats. It is evident that the healthcare industry must take extreme measures in order to counteract the evolving threat landscape. It is my hope that the findings of paper will being to shed light on these issues and help healthcare professionals understand what kind of threats the industry is facing.
    Creator/Author:
    Angel, William
    Submitter:
    William Angel
    Date Uploaded:
    10/10/2018
    Date Modified:
    10/10/2018
    Date Created:
    2018-04-23
    License:
    All rights reserved

  • Relative Importance of Blockchain in Health Care: Enhancing data sharing and mitigating cyber security crimes

    Article thumbnail: Relative Importance of Blockchain in Health Care: Enhancing data sharing and mitigating cyber security crimes
    Type:
    Article
    Description/Abstract:
    This paper looks at the opportunities and challenges of implementing blockchain technology across the medical sector and provides a clear view which can enable blockchain for more extents. After a notable research on underlying blockchain technology which offers distributed governance, immutable audit trail, provenance of data, robustness and privacy, we contrasted blockchain innovations and identified prominent applications of it in historically decentralized healthcare sectors. As the healthcare industry faces many challenges like unauthorised data sharing, lack of data transparency, ransomware, data breaches and cyber crimes, blockchain is one of the best ways to enhance data sharing and to mitigate prominent cyber crimes. By proper designing of a decentralized and immutable blockchain network where the data is dispersed among credentialed social insurance experts guarantees that cybercriminals cannot touch single patient’s confidential data, which facilitates encryption or cryptography of personal data where no patient’s emergency data is at extreme hazard. Blockchain trust-worthy cloud is one of the most powerful and secure ways of storing high confidential data. After analysing Blockchain implementations and identifying its potential in healthcare, we conclude with several promising directions for future research.
    Creator/Author:
    Ponnakanti, Hari Priya; Ozer, Murat, and Gonen, Bilal
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2020-04-14
    License:
    All rights reserved

  • Scraping The Deep Web: A 3-Dimensional Framework For Cyber-Threat Intelligence

    Article thumbnail: Scraping The Deep Web: A 3-Dimensional Framework For Cyber-Threat Intelligence
    Type:
    Article
    Description/Abstract:
    Cyberspace is one of the most complex systems ever built by humans. The utilization of cybertechnology resources are used ubiquitously by many, but sparsely understood by the majority of the users. In the past, cyberattacks were usually orchestrated in a random pattern of attack to lure unsuspecting targets. However, the cyber virtual environment is an ecosystem that provided a platform for an organized and sophisticated approach to launch an attack against a specific target group or organization by nefarious actors. In 2019, the average cost of cyber-attack in the US was about $1.6 million. This paper proposes a 3D framework to signal new threat alert before the actual occurrence of the threat on the surface web to alert cybersecurity experts and law enforcement agencies in preventive measures or means of mitigating the severity of damage caused by cyberattacks. The methodology combines information extracted from the deep web through a smart web crawler with socio-personal and technical indicators from twitter which is mapped with OTX (Open Threat Exchange). The OTX is an open-source cyber threat platform managed by security experts. The OTX endpoint security tool(OTX python SDK) will be used to identify a new type of cyber threats. The effectiveness of the framework will be tested using the machine learning algorithm precision-recall rate.
    Creator/Author:
    Adewale, Adewopo Victor and Gonen, Bilal
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2020-04-14
    License:
    All rights reserved

  • Securing A Small Office Home Office Network: Integrating A Supervised Neural Network Algorithm

    Article thumbnail: Securing A Small Office Home Office Network: Integrating A Supervised Neural Network Algorithm
    Type:
    Article
    Description/Abstract:
    Small office home office networks have become a target for many threat actors, hackers and cyber attackers and hence there is an urgent need to secure the network from such attackers. Most small office home office network users do not see the need to provide enough security to their networks because they assume no one is going to hack them forgetting that the biggest threat of our small home networks today comes from the outside. The challenge of misconfiguration of routers, firewalls and default configurations in our small home networks renders the network vulnerable to attacks such as DDos , phishing attacks , virus and other network attacks hence the need to implement a detection algorithm to help identify flaws in the pattern of the small office network. It turns out that about 75% of existing approaches focused on intrusion detection in 802.11 wireless networks of a SOHO and not the entire network. These approaches do not efficiently secure the network entirely leaving the rest prone to attacks can occur with or without the internet. This paper proposes to add another layer of security to the other preventive measures in a SOHO network by designing, implementing and testing a supervised neural network algorithm to identify attacks on the small home network and also to send a notification to users to keep them informed of the activities on their network. The supervised neural network algorithm will have a dataset representing both attacks and non-attacks which will be used in the training phase. The system should be able to detect and identify the various attacks and anomalies when they occur on the network and help keep the users informed.
    Creator/Author:
    Azumah, Sylvia Worlali and Li, Chengcheng
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2020-04-14
    License:
    All rights reserved

  • Smart Home Repos: Taking Data from Devices

    Article thumbnail: Smart Home Repos: Taking Data from Devices
    Type:
    Article
    Description/Abstract:
    This is an ongoing research project focused on creating a framework for capturing various artifacts concerning Internet of Things devices. Research has shown a severe lack of frameworks focusing on collecting data from and about IoT devices. Mozilla’s WebThings Gateway focuses on collecting this information from the devices. This project expects to find methods of IoT data collection through a proposed test-bed utilizing the WebThings Gateway.
    Creator/Author:
    Mahajan, Pranav
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2020-04-14
    License:
    All rights reserved

  • Social Networks of Technology Caregivers and Caregivees

    Article thumbnail: Social Networks of Technology Caregivers and Caregivees
    Type:
    Article
    Description/Abstract:
    The paper focuses on exploring the social networks of technology caregivers and caregivees and also work on learning their preferred mode of information exchange. Responses from the participants of the study will throw light on the relationships between different efficacies (discussed in detail in the paper) that may have an impact on an individual’s decision. Participant’s responses are recorded through well constructed surveys that have been distributed around by word of mouth or specific social media platforms which will also prove if being a power user has any effect on the end result. The responses will be analyzed and the various efficacy constructs such as self efficacy, community collective efficacy will be kept in mind.
    Creator/Author:
    Kaushik, Sanjana and Elrod, Nathan J.
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2020-04-14
    License:
    All rights reserved

  • Targeted After Generative (TAG) Learning for Causal Inference with Latent Variables

    Article thumbnail: Targeted After Generative (TAG) Learning for Causal Inference with Latent Variables
    Type:
    Article
    Description/Abstract:
    Latent variables and causal inference are central to implementing empirical research and advancing substantive theory across the social sciences. Conventional latent variable frameworks such as structural equation modeling (SEM) are constrained by several simplifying assumptions (e.g., linearity, additivity, correct model specification). In this study, we relax key SEM assumptions by building data adaptive estimation methods for causal inference with latent variables. We developed a theory-driven Targeted After Generative (TAG) learning framework that integrates SEM-informed variational autoencoders (SEM VAEs) with targeted machine learning to estimate the average treatment effect. On the generative side, the SEM VAE encodes theory aligned neural networks that learn latent variable distributions through flexible joint modeling of measurement and structural parameters. On the targeted learning side, we construct an efficient influence function for the treatment effect with the SEM-VAE implied posterior distribution of the latent variables to estimate the average effect. Across simulations, the TAG learning approach outperforms alternative approaches and demonstrates low to no bias even in adverse conditions. TAG learning offers a theory-driven flexible approach with methodological promise for causally interpretable data-adaptive analysis with latent variables. More practically, the framework allows estimation of causal effects involving latent variables even in the presence of unknown functional relationships in the measurement and structural models (e.g., data adaptive effect estimation for nonlinear/nonadditive SEMs).
    Creator/Author:
    Kelcey, Ben; Ataneka, Amota, and Habarurema, Jean-Baptiste
    Submitter:
    Ben Kelcey
    Date Uploaded:
    06/02/2026
    Date Modified:
    06/03/2026
    Date Created:
    05-20-26
    License:
    Attribution 4.0 International

  • To Post, Or Not To Post? Exploring Adjunct Faculty And Staff Social Media Use Among Collapsed Audiences

    Article thumbnail: To Post, Or Not To Post? Exploring Adjunct Faculty And Staff Social Media Use Among Collapsed Audiences
    Type:
    Article
    Description/Abstract:
    Proceedings of the 2018 Information Technology Research Symposium
    Creator/Author:
    Information Technology Research Symposium
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    08/21/2018
    Date Modified:
    05/23/2019
    Date Created:
    2018-04-10
    License:
    All rights reserved

  • Towards a Virtual Cloud-Based Smart Factory Testbed for Cybersecurity

    Article thumbnail: Towards a Virtual Cloud-Based Smart Factory Testbed for Cybersecurity
    Type:
    Article
    Description/Abstract:
    Today's industrial equipment is connected over a network to communicate with external systems and make decisions without human intervention, making it vulnerable to cyberattacks and showing the importance of research. This study explored the implementation of a cloud-based virtual testbed for a smart factory for cybersecurity testing and research. As a first step, this paper reports on developing an environment with one programmable logic controller (PLC) simulating a conveyor belt setup. The study examined different virtualization platforms and network designs. In addition, it executed a denial-of-service attack and identified its signature indicators. The study found that VMware Workstation Pro is the most suitable virtualization platform and that network input and output are the DoS attack's signature indicators.
    Creator/Author:
    Mandalapu, Rohit and Said, Hazem
    Submitter:
    Rohit Mandalapu
    Date Uploaded:
    01/17/2025
    Date Modified:
    01/17/2025
    Date Created:
    2023-07-27
    License:
    Attribution 4.0 International

  • Understanding Decision-Making Needs of Open Government Data Users

    Article thumbnail: Understanding Decision-Making Needs of Open Government Data Users
    Type:
    Article
    Description/Abstract:
    Open Government Data (OGD) promotes transparency, innovation, and value creation that makes information gathered by the government about the city and community open to all. The City of Cincinnati Open Government Data Portal allows citizens to access local data as part of a local OGD initiative. Although these datasets are available and are used by a broad audience, little is known about how users engage with this data and the general usability of the platforms. To learn more about this audience, this study is conducted in two steps 1)- a think-aloud activity and 2)- an online survey. Through these activities, we aim to gather information about how the users are interacting with the available data and for what purpose are they interacting with different sections of the portal. After gathering relevant data from the think-aloud activity, we aim to generate a questionnaire by analyzing all the information collected in the previous event at a larger scale. Using a web-based survey shared with individuals via Qualtrics, we will explore the use of the portal to gain more insight and knowledge on user requirements and their suggestions. The endpoint of this study is to develop insights that will help us understand user expectations and how changes could benefit the portal.
    Creator/Author:
    Murthy, Svati Sundara
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2020-04-14
    License:
    All rights reserved

  • Virtual cybersecurity testbeds for industrial Internet of Things

    Article thumbnail: Virtual cybersecurity testbeds for industrial Internet of Things
    Type:
    Article
    Description/Abstract:
    Modern industrial equipment are networked to interact with both internal and external systems, enabling automated decision-making with minimal or no human intervention. While this new environment creates efficiencies, it exposes the environment to cyber threats. This chapter explores the use of cybersecurity testbeds to study best practices in architecting and defending environments that contain industrial systems. Cybersecurity testbeds – physical, virtual, and hybrid – are used in different sectors for research and validation. Virtual testbeds hold promise as they enable design flexibility, reconfiguration, and scale to support various types of research studies. This chapter discusses the value of virtual cybersecurity testbeds and demonstrates a case study on the use of virtual testbeds using a simple industrial control system and a common attack. The concepts apply to more complex set ups and more complex attack structures. Virtual cybersecurity testbed can support researchers, practitioners, and educators interested in defending critical infrastructure environments and industrial systems.
    Creator/Author:
    Mandalapu, Rohit
    Submitter:
    Rohit Mandalapu
    Date Uploaded:
    05/19/2026
    Date Modified:
    05/19/2026
    License:
    Open Data Commons Open Database License (ODbL)

  • Virtual Reality, Children, and Dinosaurs

    Article thumbnail: Virtual Reality, Children, and Dinosaurs
    Type:
    Article
    Description/Abstract:
    Proceedings of the 2018 Information Technology Research Symposium
    Creator/Author:
    Information Technology Research Symposium
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    08/21/2018
    Date Modified:
    05/23/2019
    Date Created:
    2018-04-10
    License:
    All rights reserved

  • Virtual Reality in Healthcare

    Article thumbnail: Virtual Reality in Healthcare
    Type:
    Article
    Description/Abstract:
    This paper presents a prime aspect of Augmented and Virtual Reality development in the field of healthcare. We explored several recent works and articles and a comparison between generic application development and immersive technology-based application is included. The paper talks about more practical approaches that can be taken to enhance the effectiveness of the application. The resources (infrastructure) to complete this study are provided by the University of Cincinnati’s Center for Simulation and Virtual Environment Research (UCSIM). And several experiments and projects in the field of health care are used as a reference to make conclusions.
    Creator/Author:
    Ajmera, Himanshu and Gonen, Bilal
    Submitter:
    Himanshu Ajmera
    Date Uploaded:
    07/22/2019
    Date Modified:
    01/30/2021
    Date Created:
    2019-05-08
    License:
    All rights reserved

  • A Virtual Wisdom Mining ‘Pan’ For Connecting Retired Experts With Currently Active Professionals

    Article thumbnail: A Virtual Wisdom Mining ‘Pan’ For Connecting Retired Experts With Currently Active Professionals
    Type:
    Article
    Description/Abstract:
    Proceedings of the 2018 Information Technology Research Symposium
    Creator/Author:
    Information Technology Research Symposium
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    08/21/2018
    Date Modified:
    05/23/2019
    Date Created:
    2018-04-10
    License:
    All rights reserved

  • You Make the Road By Walking

    Article thumbnail: You Make the Road By Walking
    Type:
    Article
    Description/Abstract:
    A sage expression, you make the road by walking, captures the nature of accompaniment in partnership development. The purpose of this action research project was to examine the partnership of a city school and an urban university as one that engaged mutual generation of knowledge from all participants. Action research, where participants are co-equals in decision-making, enhances the co-construction of knowledge and applied practice when stakeholders work to achieve more practical goals. Two high school co-instructors and a university faculty member examined what initially brought them together – a classroom instructional need. While designing and implementing an investigation of the use of class instructional time, they simultaneously conducted a self-study action research project about the dynamics of their partnership and how to improve it. Critical interviews revealed challenges to integrating research findings into practice as well as convergent benefits of partnership development that may be relevant to partnerships of all kinds. Key Terms: Action research, collaboration, collaborative organizations, mode 2 knowledge creation, partnership development, research-practice gap
    Creator/Author:
    Kroeger, Stephen; Kraus, Timothy, and Bernie, Jaime
    Submitter:
    Stephen Kroeger
    Date Uploaded:
    02/08/2016
    Date Modified:
    07/27/2016
    License:
    All rights reserved