Physical Sciences and Mathematics Commons^™

Preliminary Investigation Of Walking Motion Using A Combination Of Image And Signal Processing, Bradley Schneider, Tanvi Banerjee

Kno.e.sis Publications

We present the results of analyzing gait motion in first-person video taken from a commercially available wearable camera embedded in a pair of glasses. The video is analyzed with three different computer vision methods to extract motion vectors from different gait sequences from four individuals for comparison against a manually annotated ground truth dataset. Using a combination of signal processing and computer vision techniques, gait features are extracted to identify the walking pace of the individual wearing the camera as well as validated using the ground truth dataset. Our preliminary results indicate that the extraction of activity from the video …

Analyzing Clinical Depressive Symptoms In Twitter, Amir Hossein Yazdavar, Hussein S. Al-Olimat, Tanvi Banerjee, Krishnaprasad Thirunarayan, Amit P. Sheth

Kno.e.sis Publications

350 million people are suffering from clinical depression worldwide.

What Motivates High School Students To Take Precautions Against The Spread Of Influenza? A Data Science Approach To Latent Modeling Of Compliance With Preventative Practice, William L. Romine, Tanvi Banerjee, William R. Folk, Lloyd H. Barrow

Kno.e.sis Publications

– This study focuses on a central question: What key behavioral factors influence high school students’ compliance with preventative measures against the transmission of influenza? We use multilevel logistic regression to equate logit measures for eight precautions to students’ latent compliance levels on a common scale. Using linear regression, we explore the efficacy of knowledge of influenza, affective perceptions about influenza and its prevention, prior illness, and gender in predicting compliance. Hand washing and respiratory etiquette are the easiest precautions for students, and hand sanitizer use and keeping the hands away from the face are the most difficult. Perceptions of …

Comparing Network Centrality Measures Of Non-Traditional Students In An Introductory Physics Class, Emily N. Sandt, Adrienne L. Traxler

Symposium of Student Research, Scholarship, and Creative Activities Materials

The goal of this research was to compare different models of network influence for students. Two research questions were composed: 1. How do common centrality measures compare when ranking students' network influence? 2. Do centrality values of non-traditional students show different trend than traditional students?

Finding Specific, Topic Related Information From A Sea Of Social Media Posts, Scott J. Duberstein, Daniel Asamoah, Derek Doran, Shu Z. Schiller

Symposium of Student Research, Scholarship, and Creative Activities Materials

As social media continues to become an incredible mode of communication in daily life dealing with the exchange of information, these systems provide authors a platform where they can share their thoughts, feelings, and experiences about a number of topics. Harnessing the information expressed publicly through these modes can be incredibly powerful: public perceptions, signals, and data about a variety of specific topics could be extracted and studied from these posts. However, there is a common trade-off in collecting information about a topic from social media: the more specific the topic, generally, the more challenging it is to extract meaningful …

Investigating The After-Effects Of Stochastic Resonance For Use In Laparoscopic Surgery, Muhammad S. Hamdan, Caroline G. L. Cao

Symposium of Student Research, Scholarship, and Creative Activities Materials

Laparoscopic surgery is a modern surgical technique in which surgeons insert tools through small incisions in the abdomen to perform a surgical procedure.

Nondestructive Evaluation & Radar Imaging Using Terahertz Signals, D. Amal Mirando, Michael D. Higgins, Sonya Sokhey, Matthew Larson, Douglas T. Petkie

Symposium of Student Research, Scholarship, and Creative Activities Materials

Nondestructive imaging is a method of examining a material without direct contact that additionally does not alter the properties of the material. The terahertz imaging system currently in development uses the principle of interferometry (a Michelson Interferometer) such that frequency modulated terahertz signals are split and directed to the object under study and a reference mirror; then the detector will acquire the intensity of the combined reflected signals that contains information about the objects in the path of the beam.

Evaluation Of A Brief Marriage Intervention For Internal Behavioral Health Consultants In Military Primary Care, Ashley L. Evans, Jeffrey A. Cigrang, Tatiana D. Grey, James V. Cordova, Elizabeth Najera, Rosalyn S. Pace, Abby D. Fields, Michael A. Glotfelter, Jennifer A. Mitchell, Jolyn Tatum

Symposium of Student Research, Scholarship, and Creative Activities Materials

Military couples face significant challenges to their relationships including demanding schedules, multiple deployments, and frequent moves. Despite the high costs of chronic marital distress, very few military (or civilian) couples seek marriage therapy. The military services and the VA system have implemented collaborative care models in primary care where internal behavioral health consultants are integrated into primary care. Integrated primary care can reduce the stigma of behavioral health services and may increase the odds that couples would seek help earlier. There are no established couple interventions designed for use in primary care. The purpose of this presentation is to describe …

Synthesis Of Functionalized Peek Analogues Via “One-Pot” Synthesis, Zachary B. Ewing, Eric A. Fossum

Symposium of Student Research, Scholarship, and Creative Activities Materials

Poly(arylene ether)s, PAEs

• High performance engineering thermoplastic materials

• Excellent mechanical properties and thermal stability

• Resistant to hydrolysis and oxidation

• Many prepared via nucleophilic aromatic substitution (NAS)

• Electron withdrawing groups (EWG) typically in para positions

• PAEs can also be synthesized with an EWG in the meta positions, creating easily functionalized systems, with no change in the backbone

Wright State University's Celebration Of Research, Scholarship And Creative Activities Book Of Abstracts From Friday, April 15, 2016, Wright State University Office Of Undergraduate Research And Stemm Activities

Symposium of Student Research, Scholarship, and Creative Activities Materials

The student abstract booklet is a compilation of abstracts from students' oral and poster presentations at Wright State University's Annual Celebration of Research, Scholarship and Creative Activities on April 15, 2016.

City360: Visualizing Multimodal City Events For Decision Support, Vaikunth Sridharan, Tanvi Banerjee, Pramod Anantharam, Archana Sheshadri, Roopteja Muppalla, Amit P. Sheth, Krishnaprasad Thirunarayan

Symposium of Student Research, Scholarship, and Creative Activities Materials

Cities are increasingly outfitted with sensors for monitoring various conditions such as traffic, weather, air quality, and infrastructure related issues. Such well outfitted cities are generating massive amounts of multi-modal data leading to daunting challenges in assimilating, visualizing, and making sense of this data by city authorities and citizens. We propose City360 to address these challenges and provide decision support to city authorities and citizens. We demonstrate the utility of our system through concrete use cases for San Francisco Bay area that utilize heterogeneous data from various open city data sources.

Semantic, Cognitive, And Perceptual Computing: Paradigms That Shape Human Experience, Amit P. Sheth, Pramod Anantharam, Cory Henson

Kno.e.sis Publications

Unlike machine-centric computing, in which efficient data processing takes precedence over contextual tailoring, human-centric computation provides a personalized data interpretation that most users find highly relevant to their needs. The authors show how semantic, cognitive, and perceptual computing paradigms work together to produce actionable information.

Building The Web Of Knowledge With Smart Iot Applications, Amelie Gyrard, Pankesh Patel, Amit P. Sheth, Martin Serrano

Kno.e.sis Publications

The Internet of Things (IoT) is experiencing fast adoption because of its positive impact to change all aspects of our lives, from agriculture in rural areas, to health and wellness, to smart home and smart-x applications in cities. The development of IoT applications and deployment of smart IoT-based solutions is just starting; smart IoT applications will modify our physical world and our interaction with cyber spaces, from how we remotely control appliances at home to how we care for patients or elderly persons. The massive deployment of IoT devices represents a tremendous economic impact and at the same time offers …

A Study Of Social Web Data On Buprenorphine Abuse Using Semantic Web Technology, Raminta Daniulaityte, Amit P. Sheth

Kno.e.sis Publications

The Specific Aims of this application are to use a paradigmatic approach that combines Semantic Web technology, Natural Language Processing and Machine Learning techniques to:

1) Describe drug users’ knowledge, attitudes, and behaviors related to the non-medical use of Suboxone and Subutex as discussed on Web-based forums.
2) Identify and describe temporal patterns of non-medical use of Suboxone and Subutex as discussed on Web-based forums.

The research was carried out by an interdisciplinary team of members of the Center for Interventions, Treatment and Addictions Research (CITAR) and the Ohio Center of Excellence in Knowledge- enabled Computing (Kno.e.sis) at Wright State …

Co-Evolution Of Rdf Datasets, Sidra Faisal, Kemele M. Endris, Saeedeh Shekarpour, Sören Auer, Maria-Esther Vidal

Kno.e.sis Publications

Linking Data initiatives have fostered the publication of large number of RDF datasets in the Linked Open Data (LOD) cloud, as well as the development of query processing infrastructures to access these data in a federated fashion. However, different experimental studies have shown that availability of LOD datasets cannot be always ensured, being RDF data replication required for envisioning reliable federated query frameworks. Albeit enhancing data availability, RDF data replication requires synchronization and conflict resolution when replicas and source datasets are allowed to change data over time, i.e., co-evolution management needs to be provided to ensure consistency. In this paper, …