Science and Technology Studies Commons^™

Demonstration: Real-Time Semantic Analysis Of Sensor Streams, Harshal Kamlesh Patni, Cory Andrew Henson, Michael Cooney, Amit P. Sheth, Krishnaprasad Thirunarayan

Kno.e.sis Publications

The emergence of dynamic information sources - including sensor networks - has led to large streams of real-time data on the Web. Research studies suggest, these dynamic networks have created more data in the last three years than in the entire history of civilization, and this trend will only increase in the coming years. With this coming data explosion, real-time analytics software must either adapt or die. This paper focuses on the task of integrating and analyzing multiple heterogeneous streams of sensor data with the goal of creating meaningful abstractions, or features. These features are then temporally aggregated into feature …

Small Business Strategies Series: Patents & Trademarks, Robert Berry

Librarian Publications

A November 14 2011 presentation by Robert Berry, Research Librarian and Patent and Trademark Resource Center representative for the Sacred Heart University Library.

Business Roundtable: Patents & Trademarks, Robert Berry

Librarian Publications

An October 2011 presentation by Robert Berry, Research Librarian and Patent and Trademark Resource Center representative for the Sacred Heart University Library.

The Efficacy Of Thermal Imaging Technology For Documenting American Woodcock On Pine Stands, A. Long, A. Locher

Journal of the Arkansas Academy of Science

Thermal imaging technology provides a useful tool to understand nocturnal activity of wildlife. We used thermal imaging to document American woodcock use of pine stands in Arkansas. A thermal imaging camera was used along logging roads on sampling dates ranging from December 2009 – February 2010 and in February 2011. We located 4 woodcock in 2010 in 20.27 hours of sampling within all stand types. For 11.55 h we only sampled pine seedling/clearcut stands due to vegetation structure inhibiting our ability to identify woodcock with the camera. In 2011 we found 2 woodcock in 7.42 hours of sampling on pine …

Investigating Trait Attribution Through Gendered Avatar Play: An Analysis Of The Sims 3, Erika M. Behrmann

Master's Theses and Doctoral Dissertations

This study investigates whether the life-simulation videogame, The Sims 3, enables the deconstruction of the gender binary. The Sims 3 permits its players the capability to attribute similar traits to male or female avatars. In doing so, players can experiment with taboo trait attributions and potentially defy a male-female binary. A group of 82 The Sims 3 players was surveyed to determine their overall male and female Sims trait selections during gameplay. Participants were questioned on how their trait selection related to their personal identities. Results indicated that players tend to select traits that maintain a gender binary. This …

Improvements To Vertical Axis Wind Turbine Blades To Aid In Self-Starting, Joseph P. Tillman

Masters Theses

No abstract provided.

Design And Evaluation Of Laboratory Practices For An Advanced Computer Networking Curriculum, Jorgealberto Zetino

Masters Theses

Educators in the area of computer networking face the challenge of developing successful academic courses that can increase students' comprehension and interest while improving their competitiveness in the job market. This situation requires the development of a curriculum with emphasis on current industry needs and practical activities that can provide students with hands-on experience. This study focuses on the development oflaboratory practices in three areas of significant importance for the industry: network security, wireless networks and voice over IP. The objectives of the laboratory practices are to improve the use of equipment in the telecommunication laboratory at Eastern Illinois University, …

The Effects Of Teaching Styles On Student Knowledge, Ryan Devries

Masters Theses

This study analyzed the effects that the instructor has in determining if student knowledge of a given subject is significantly impacted when teaching styles differ. The study examined the effects of the independent variable (learning through instruction style) on the one dependent variable: knowledge (gained and retained).

Traditional educational methods often vary between instructors, even when those instructors teach the same course. Teachers' objectives are to present the course information in a way that will be the most beneficial to the student. The teachers have to consider situational factors, goals for the course, learning styles, and level of learning. "In …

Analysis Of Team Trust Building Behaviors In Virtual Workplace Teams, Natasha Von Sommer

Masters Theses

Teams are becoming increasingly vital to many organizations. Due to globalization organizations have started to utilize virtual workplace teams. Members of virtual workplace teams typically interact electronically however they may occasionally meet face-to-face. It can be difficult for a virtual workplace team to succeed due to anonymity, lack of control, lack of physical proximity, inefficiencies in information technology and lack of trust. Trust is a key factor in the success of a virtual workplace team. Trust is examined to determine which trust building behavior is most effective at building virtual workplace team trust.

The Technology Of Grief: Social Networking Sites As A Modern Death Ritual, Jordan Ciel Fearon

Antioch University Dissertations & Theses

Technology plays a significant role in the socialization and development of society. One popular technology includes Facebook, a Social Networking Site (SNS). As Facebook has become a common site for reaching out to others for a sense of support and connection, it has also become a site to express grief and bereavement through the creation of Memorial Groups. Through a qualitative survey design, descriptive information regarding the impetus to create a Memorial Group as well as the desired utility was examined through the perspective of the creator. An online questionnaire consisting of open and closed-ended questions was completed by 68 …

Spatial Semantics For Better Interoperability And Analysis: Challenges And Experiences In Building Semantically Rich Applications In Web 3.0, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

Does Socio/Economic Status Affect Environmental Awareness In Elementary School Children Interacting With School Gardens?, Grady C. Erickson

Department of Environmental Studies: Undergraduate Student Theses

This is a case study involving three elementary schools in the greater Lincoln, Nebraska area. These schools were chosen to provide insight to three different economic backgrounds. Saratoga and Randolph from Lincoln Public Schools, and Norris Elementary part of Norris Public Schools 160 was the third school involved in the study. This case study focused on seeing whether socio/economic background had any effect on environmental awareness. To do so, surveys were handed out to each school to help measure environmental awareness. These surveys also helped determine where the environmental literacy standards were in the elementary schools of Lincoln, Nebraska. The …

Translating Expertise Into Effective Instruction: The Impacts Of Cognitive Task Analysis (Cta) On Lab Report Quality And Student Retention In The Biological Sciences, David F. Feldon, Briana Crotwell Timmerman, Krik A. Stowe, Richard Showman

Instructional Technology and Learning Sciences Faculty Publications

Poor instruction has been cited as a primary cause of attrition from STEM majors and a major obstacle to learning for those who stay [Seymour and Hewitt [1997]. Talking about leaving: Why undergraduates leave the sciences. Boulder, CO: Westview]. Using a double-blind design, this study tests the hypothesis that the lack of explicit instructions in scientific inquiry skills is a major factor in both low STEM retention and academic underperformance. This project delivered supplemental instruction to students in a laboratory-based undergraduate biology course (n = 314) that was derived either from cognitive task analyses (CTAs) conducted with expert biologists (treatment) …

Technik Und Machenschaft Bei Martin Heidegger Und Günther Anders. Mit Einigen Bemerkungen Zu Ray Kurzweils Urknall, Babette Babich

Working Papers

No abstract provided.

Flexible Bootstrapping-Based Ontology Alignment, Prateek Jain, Pascal Hitzler, Amit P. Sheth

Kno.e.sis Publications

BLOOMS (Jain et al, ISWC2010) is an ontology alignment system which, in its core, utilizes the Wikipedia category hierarchy for establishing alignments. In this paper, we present a Plug-and-Play extension to BLOOMS, which allows to flexibly replace or complement the use of Wikipedia by other online or offline resources, including domain-specific ontologies or taxonomies. By making use of automated translation services and of Wikipedia in languages other than English, it makes it possible to apply BLOOMS to alignment tasks where the input ontologies are written in different languages.

Ontology Alignment For Linked Open Data, Prateek Jain, Pascal Hitzler, Amit P. Sheth, Kunal Verma, Peter Z. Yeh

Kno.e.sis Publications

The Web of Data currently coming into existence through the Linked Open Data (LOD) effort is a major milestone in realizing the Semantic Web vision. However, the development of applications based on LOD faces difficulties due to the fact that the different LOD datasets are rather loosely connected pieces of information. In particular, links between LOD datasets are almost exclusively on the level of instances, and schema-level information is being ignored. In this paper, we therefore present a system for finding schema-level links between LOD datasets in the sense of ontology alignment. Our system, called BLOOMS, is based on the …

A Taxonomy-Based Model For Expertise Extrapolation, Delroy H. Cameron, Boanerges Aleman-Meza, Ismailcem Budak Arpinar, Sheron L. Decker, Amit P. Sheth

Kno.e.sis Publications

While many ExpertFinder applications succeed in finding experts, their techniques are not always designed to capture the various levels at which expertise can be expressed. Indeed, expertise can be inferred from relationships between topics and subtopics in a taxonomy. The conventional wisdom is that expertise in subtopics is also indicative of expertise in higher level topics as well. The enrichment of Expertise Profiles for finding experts can therefore be facilitated by taking domain hierarchies into account. We present a novel semantics-based model for finding experts, expertise levels and collaboration levels in a peer review context, such as composing a Program …

Faculty Success: Developing A Research And Publication Agenda, Kathleen P. King

Department of Leadership, Policy, and Lifelong Learning

Anyone associated with higher education will acknowledge that tenure track faculty have to perform a fantastic balancing act. Compared to an administrative or line role in an organization, higher education faculty have tremendous autonomy and freedom. However, they face competing demands of many different (and good) opportunities, and for them the stakes are always high. Help is here! This article introduces a powerful strategy for staying on track in the research strand of this competitive journey.

Ranking Documents Semantically Using Ontological Relationships, Boanerges Aleman-Meza, I. Budak Arpinar, Mustafa V. Nural, Amit P. Sheth

Kno.e.sis Publications

Although arguable success of today’s keyword based search engines in certain information retrieval tasks, ranking search results in a meaningful way remains an open problem. In this work, the goal is to use of semantic relationships for ranking documents without relying on the existence of any specific structure in a document or links between documents. Instead, real-world entities are identified and the relevance of documents is determined using relationships that are known to exist between the entities in a populated ontology. We introduce a measure of relevance that is based on traversal and the semantics of relationships that link entities …

Assessing The Health Of Army Laboratories: Funding For Basic Research And Laboratory Capital Equipment, John W. Lyons, Richard Chait

Defense and Technology Papers

In this paper, the authors respond to requests from the office of the Army S&T Executive to address the adequacy of the funding provided to equipment and basic research in an effective S&T laboratory.

Pattern Space Maintenance For Data Updates And Interactive Mining, Mengling Feng, Guozhu Dong, Jinyan Li, Yap-Peng Tan, Limsoon Wong

Kno.e.sis Publications

This article addresses the incremental and decremental maintenance of the frequent pattern space. We conduct an in-depth investigation on how the frequent pattern space evolves under both incremental and decremental updates. Based on the evolution analysis, a new data structure, Generator-Enumeration Tree (GE-tree), is developed to facilitate the maintenance of the frequent pattern space. With the concept of GE-tree, we propose two novel algorithms, Pattern Space Maintainer+ (PSM+) and Pattern Space Maintainer− (PSM−), for the incremental and decremental maintenance of frequent patterns. Experimental results demonstrate that the proposed algorithms, on average, outperform the representative state-of-the-art …

Cross-Market Model Adaptation With Pairwise Preference Data For Web Search Ranking, Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, Keke Chen

Kno.e.sis Publications

Machine-learned ranking techniques automatically learn a complex document ranking function given training data. These techniques have demonstrated the effectiveness and flexibility required of a commercial web search. However, manually labeled training data (with multiple absolute grades) has become the bottleneck for training a quality ranking function, particularly for a new domain. In this paper, we explore the adaptation of machine-learned ranking models across a set of geographically diverse markets with the market-specific pairwise preference data, which can be easily obtained from clickthrough logs. We propose a novel adaptation algorithm, Pairwise-Trada, which is able to adapt ranking models that are trained …

A Call For Performance-Based Data In The Study Of Stem Ph.D. Education, David F. Feldon, Michelle A. Maher, Briana E. Timmerman

Instructional Technology and Learning Sciences Faculty Publications

Understanding the scholarly development of Ph.D. students in science, technology, engineering, and mathematics (STEM) is vital to the preparation of the scientific workforce. During doctoral study, students learn to be professional scientists and acquire the competencies to succeed in those roles. However, this complex process is not well studied. Research to date suffers from overreliance on a narrow range of methods that cannot provide data appropriate for addressing questions of causality or effectiveness of specific practices in doctoral education. We advocate a shift in focus from student and instructor self-report toward the use of actual performance data as a remedy …

10302 Summary - Learning Paradigms In Dynamic Environments, Barbara Hammer, Pascal Hitzler

Computer Science and Engineering Faculty Publications

The seminar centered around problems which arise in the context of machine learning in dynamic environments. Particular emphasis was put on a couple of specific questions in this context: how to represent and abstract knowledge appropriately to shape the problem of learning in a partially unknown and complex environment and how to combine statistical inference and abstract symbolic representations; how to infer from few data and how to deal with non i.i.d. data, model revision and life-long learning; how to come up with efficient strategies to control realistic environments for which exploration is costly, the dimensionality is high and data …

Trust Model For Semantic Sensor And Social Networks: A Preliminary Report, Pramod Anantharam, Cory Andrew Henson, Krishnaprasad Thirunarayan, Amit P. Sheth

Kno.e.sis Publications

Trust is an amorphous concept that is becoming Increasingly important in many domains, such as P2P networks, E-commerce, social networks, and sensor networks. While we all have an intuitive notion of trust, the literature is scattered with a wide assortment of differing definitions and descriptions; often these descriptions are highly dependent on a single domain or application of interest. In addition, they often discuss orthogonal aspects of trust while continuing to use the general term “trust”. In order to make sense of the situation, we have developed an ontology of trust that integrates and relates its various aspects into a …

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, 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, 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, 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, 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 …