Sit-To-Stand Detection Using Fuzzy Clustering Techniques,
2010
Wright State University - Main Campus
Sit-To-Stand Detection Using Fuzzy Clustering Techniques, Tanvi Banerjee, James M. Keller, Marjorie Skubic, Carmen Abbott
Kno.e.sis Publications
The ability to rise from a chair is an important parameter to assess the balance deficits of a person. In particular, this can be an indication of risk for falling in elderly persons. Our goal is automated assessment of fall risk using video data. Towards this goal, we present a simple yet effective method of detecting transition, i.e. sit-to-stand and stand-to-sit, from image frames using fuzzy clustering methods on image moments. The technique described in this paper is shown to be robust even in the presence of noise and has been tested on several data sequences using different subjects yielding …
Biomedical Ontologies For Parasite Research,
2010
Wright State University - Main Campus
Biomedical Ontologies For Parasite Research, Vinh Nguyen, Satya S. Sahoo, Priti Parikh, Todd Minning, Brent Weatherly, Flora Logan, Amit P. Sheth, Rick Tarleton
Kno.e.sis Publications
Trypanosoma cruzi is a protozoan parasite that causes Chagas disease or American trypanosomiasis, which is the leading cause of death in Latin America. The primary objective of this study is to create an ontology-driven information infrastructure to support parasite researchers in identifying gene knockout, vaccination, or drug targets for T. cruzi. This involves querying across multiple datasets from diverse sources, such as proteome, pathway, internal lab data, etc. that are often represented in heterogeneous formats. To address this, a multi-ontology parasite knowledge repository (PKR) is being created with an intuitive graphical query interface called Cuebee. The PKR is underpinned by …
Cloud Based Scientific Workflow For Nmr Data Analysis,
2010
Wright State University - Main Campus
Cloud Based Scientific Workflow For Nmr Data Analysis, Ashwin Manjunatha, Paul E. Anderson, Satya S. Sahoo, Ajith Harshana Ranabahu, Michael L. Raymer, Amit P. Sheth
Kno.e.sis Publications
This work presents a service oriented scientific workflow approach to NMR-based metabolomics data analysis. We demonstrate the effectiveness of this approach by implementing several common spectral processing techniques in the cloud using a parallel map-reduce framework, Hadoop.
Do Psychology Researchers Tell It Like It Is? A Microgenetic
Analysis Of Research Strategies And Self-Report Accuracy,
2010
Utah State University
Do Psychology Researchers Tell It Like It Is? A Microgenetic Analysis Of Research Strategies And Self-Report Accuracy, David F. Feldon
Instructional Technology and Learning Sciences Faculty Publications
Acquiring research skills is considered to be a highly challenging aspect of developing expertise in the social sciences. Because instruction and mentoring in these skills are typically grounded in the self-report of researchers, difficulties in learning the material may be due to the content and accuracy of these explanations. Using a mixed-method, microgenetic design, this study examines the explanations of problem-solving processes by researchers along a continuum of expertise during simulated experiment design and subsequent data analysis. Findings indicate that participants’ self-explanations are largely inaccurate. Further, frequency of inaccurate statements is positively associated with the frequency of abstract cognitive processes, …
How To Make Linked Data More Than Data,
2010
Wright State University - Main Campus
How To Make Linked Data More Than Data, Prateek Jain, Amit P. Sheth, Kunal Verma, Pascal Hitzler, Peter Z. Yeh
Kno.e.sis Publications
The LOD cloud has a potential for applicability in many AI-related tasks, such as open domain question answering, knowledge discovery, and the Semantic Web. An important prerequisite before the LOD cloud can enable these goals is allowing its users (and applications) to effectively pose queries to and retrieve answers from it. However, this prerequisite is still an open problem for the LOD cloud and has restricted it to 'merely more data.' To transform the LOD cloud from 'merely more data' to 'semantically linked data' there are plenty of open issues which should be addressed. We believe this transformation of the …
Semantically Annotated Restful Services For Large-Scale Metabolomics Data Analysis,
2010
Wright State University - Main Campus
Semantically Annotated Restful Services For Large-Scale Metabolomics Data Analysis, Ashwin Manjunatha, Paul E. Anderson, Satya S. Sahoo, Ajith H. Ranabahu, Michael L. Raymer, Amit P. Sheth
Kno.e.sis Publications
No abstract provided.
What The 2000 U.S. Census Tells Us About The Kenyan Diaspora,
2010
Harvard University
What The 2000 U.S. Census Tells Us About The Kenyan Diaspora, Martin Mbaya, Paulsen Mrina, Michael J. Levin
Journal of Global Initiatives: Policy, Pedagogy, Perspective
The 2000 U.S. Decennial Census produced profiles of Kenya-born and other Africa-born immigrants for the first time. These tabulations provide useful information about the counts and demographic, social, economic, and housing characteristics of Kenyans living in the United States. This paper compares the characteristics of the East Africa born with the U.S. born, as well as with all U.S. Blacks. Overall, the data show a classic brain drain in the emigration from the East African community as people relocate and settle down in the United States. The East African diaspora represents a crucial cross section of Africa's top minds in …
Janus: From Workflows To Semantic Provenance And Linked Open Data,
2010
Wright State University - Main Campus
Janus: From Workflows To Semantic Provenance And Linked Open Data, Paolo Missier, Satya S. Sahoo, Jun Zhao, Carole Goble, Amit P. Sheth
Kno.e.sis Publications
Data provenance graphs are form of metadata that can be used to establish a variety of properties of data products that undergo sequences of transformations, typically specified as workflows. Their usefulness for answering user provenance queries is limited, however, unless the graphs are enhanced with domain-specific annotations. In this paper we propose a model and architecture for semantic, domain-aware provenance, and demonstrate its usefulness in answering typical user queries. Furthermore, we discuss the additional benefits and the technical implications of publishing provenance graphs as a form of Linked Data. A prototype implementation of the model is available for data produced …
Provenance Management In Parasite Research,
2010
Wright State University - Main Campus
Provenance Management In Parasite Research, Vinh Nguyen, Priti Parikh, Satya S. Sahoo, Amit P. Sheth
Kno.e.sis Publications
The objective of this research is to create a semantic problem solving environment (PSE) for human parasite Trypanosoma cruzi. As a part of the PSE, we are trying to manage provenance of the experiment data as it is generated. It requires to capture the provenance which is often collected through web forms used by biologists to input the information about experiments they conduct. We have created Parasite Experiment Ontology (PEO) that represents provenance information used in the project. We have modified the back end which processes the data gathered from biologists, generates RDF triples and serializes them into the triple …
Global Warming: Myths & Realities,
2010
California Polytechnic State University - San Luis Obispo
Global Warming: Myths & Realities, Dennis Jaynes
Social Sciences
The topic of Global Warming has been surrounded with controversy since it was first proposed. From evidence that has come from years of studies, a majority of the world’s governments and scientists are in agreement that the Earth’s global temperatures are warming. However, there are others who are skeptical of the science; they spread their message by trying to discredit the scientists or have even gone as far as to cover it up. The intent of this paper is to examine the myths and compare them side by side with the latest scientific data to determine what is real and …
Distance-Based Measures Of Inconsistency And Incoherency For Description Logics,
2010
Wright State University - Main Campus
Distance-Based Measures Of Inconsistency And Incoherency For Description Logics, Yue Ma, Pascal Hitzler
Computer Science and Engineering Faculty Publications
Inconsistency and incoherency are two sorts of erroneous information in a DL ontology which have been widely discussed in ontology-based applications. For example, they have been used to detect modeling errors during ontology construction. To provide more informative metrics which can tell the differences between inconsistent ontologies and between incoherent terminologies, there has been some work on measuring inconsistency of an ontology and on measuring incoherency of a terminology. However, most of them merely focus either on measuring inconsistency or on measuring incoherency and no clear ideas of how to extend them to allow for the other. In this paper, …
Some Trust Issues In Social Networks And Sensor Networks,
2010
Wright State University - Main Campus
Some Trust Issues In Social Networks And Sensor Networks, Krishnaprasad Thirunarayan, Pramod Anantharam, Cory Andrew Henson, Amit P. Sheth
Kno.e.sis Publications
Trust and reputation are becoming increasingly important in diverse areas such as search, e-commerce, social media, semantic sensor networks, etc. We review past work and explore future research issues relevant to trust in social/sensor networks and interactions. We advocate a balanced, iterative approach to trust that marries both theory and practice. On the theoretical side, we investigate models of trust to analyze and specify the nature of trust and trust computation. On the practical side, we propose to uncover aspects that provide a basis for trust formation and techniques to extract trust information from concrete social/sensor networks and interactions. We …
Scientific Restraint: The Balance Between Progress And Safety,
2010
University of Rhode Island
Scientific Restraint: The Balance Between Progress And Safety, Richard Bell
Senior Honors Projects
Mankind’s collective scientific and technological knowledge has progressed, and is progressing, at such a rate that humanity is now well within its means to bring about widespread devastation by its own devices. The high stakes of many projects in diverse fields of study, including those in nuclear, genetic, and biotechnical sciences, necessitates an analysis of how to decide if risky experiments are worth pursuing. This is not a matter, so much, of what safeguards we put into place in dangerous experimental environments, but rather how to weigh potential loss versus potential gain. Even in the best laboratories, disaster can strike, …
Linked Sensor Data,
2010
Wright State University - Main Campus
Linked Sensor Data, Harshal Kamlesh Patni, Cory Andrew Henson, Amit P. Sheth
Kno.e.sis Publications
A number of government, corporate, and academic organizations are collecting enormous amounts of data provided by environmental sensors. However, this data is too often locked within organizations and underutilized by the greater community. In this paper, we present a framework to make this sensor data openly accessible by publishing it on the Linked Open Data (LOD) Cloud. This is accomplished by converting raw sensor observations to RDF and linking with other datasets on LOD. With such a framework, organizations can make large amounts of sensor data openly accessible, thus allowing greater opportunity for utilization and analysis.
Trust In Social And Sensor Networks,
2010
Wright State University - Main Campus
Trust In Social And Sensor Networks, Pramod Anantharam, Krishnaprasad Thirunarayan, Cory Andrew Henson, Amit P. Sheth
Kno.e.sis Publications
Trust can be defined as the perception of the trustor about the degree to which the trustee would satisfy an expectation about a transaction constituting risk. Trust plays a pivotal role when the risk in believing incorrect information is high. With Web 2.0 where user generated content and real time interactions dominate, the openness of data contribution may hinder the quality of information we can get.
How Science Is Visually Portrayed In The Media: An Examination Of Science Times,
2010
University of Nevada Las Vegas, Hank Greenspun School of Journalism and Media Studies
How Science Is Visually Portrayed In The Media: An Examination Of Science Times, Rachel Toyer, Larry Mullen
Graduate Research Symposium (2010 - 2017)
This poster will illustrate preliminary findings of how science images are portrayed in the New York Times, specifically, the Science Times section that is published every Tuesday and has grown in readership and popularity. Science images, five issues per year, have been coded over the past 34 years since the Science Times section first appeared in print. Our work follows trends that observe types of images, how many images are present, and whether the image is a photo or graphic of some sort.
The Role Of Public Libraries And Their Future,
2010
Western Kentucky University
The Role Of Public Libraries And Their Future, Uma Devi Doraiswamy
DLTS Faculty Publications
No abstract provided.
What Goes Around Comes Around - Improving Linked Open Data Through On-Demand Model Creation,
2010
Wright State University - Main Campus
What Goes Around Comes Around - Improving Linked Open Data Through On-Demand Model Creation, Christopher Thomas, Wenbo Wang, Pankaj Mehra, Delroy H. Cameron, Pablo N. Mendes, Amit P. Sheth
Kno.e.sis Publications
Web 2.0 has changed the way we share and keep up with information. We communicate through social media platforms and make the information we exchange to a large extent publicly available. Linked Open Data (LOD) follows the same paradigm of sharing information but also makes it machine accessible. LOD provides an abundance of structured information albeit in a less formally rigorous form than would be desirable for Semantic Web applications. Nevertheless, most of the LOD assertions are community reviewed and we can rely on their accuracy to a large extent. In this work we want to follow the Web 2.0 …
Dynamic Associative Relationships On The Linked Open Data Web,
2010
Wright State University - Main Campus
Dynamic Associative Relationships On The Linked Open Data Web, Pablo N. Mendes, Pavan Kapanipathi, Delroy H. Cameron, Amit P. Sheth
Kno.e.sis Publications
We provide a definition of context based on theme, time and location, and propose a mixed retrieval/extraction model for the dynamic suggestion of trending relationships to LOD resources.
Semantics-Empowered Text Exploration For Knowledge Discovery,
2010
Wright State University - Main Campus
Semantics-Empowered Text Exploration For Knowledge Discovery, Delroy H. Cameron, Pablo N. Mendes, Amit P. Sheth, Victor Chan
Kno.e.sis Publications
The interaction paradigm offered by most contemporary Web Information Systems is a search-and-sift paradigm in which users manually seek information using hyperlinked documents. This paradigm is derived from a document-centric model that gives users minimal support for scanning through high volumes of text. We present a novel information exploration paradigm based on a data-centric view of corpora, along with a prototype implementation that demonstrates the value in content-driven navigation. We leverage semantic metadata to link data in documents by exploiting named relationships between entities. We also present utilities for gathering user generated navigation trails, critical for knowledge discovery. We discuss …
