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Journal of the Iowa Academy of Science: JIAS

No abstract provided.

Artists' Depictions Of Catsteps In The Loess Hills Of Iowa: Evidence For Mid-Nineteenth Century Climate Change, Kimberly R. Dillon, Steven H. Emerman, Pamela K. Wilcox

Journal of the Iowa Academy of Science: JIAS

Catsteps are the staircase-like features common on hillslopes of the Loess Hills of western Iowa. The record of artistic depictions of the Loess Hills was examined to determine when catsteps appeared. George Catlin, Karl Bodmer, and John James Audubon traveled up the Missouri River m 1832, 1833 and 1843, respectively, and between them, produced 31 works of art depicting either the Loess Hills or the loess bluffs on the Nebraska side of the river. Only three works by Bodmer of Blackbird Hill on the Nebraska side possibly show catsteps. The Assistant State Geologist, Orestes St. John, produced six sketches of …

Editorial Board & Iowa Academy Of Science Officers And Directors

Journal of the Iowa Academy of Science: JIAS

No abstract provided.

Predicting Domain Specific Entities With Limited Background Knowledge, Christopher Thomas, Amit P. Sheth

Kno.e.sis Publications

This paper proposes a framework for automatic recognition of domain-specific entities from text, given limited background knowledge, e.g. in form of an ontology. The algorithm exploits several lightweight natural language processing techniques, such as tokenization and stemming, as well as statistical techniques, such as singular value decomposition (SVD) to suggest domain relatedness of unknown entities.

Using Query-Specific Variance Estimates To Combine Bayesian Classifiers, Chi-Hoon Lee, Russell Greiner, Shaojun Wang

Kno.e.sis Publications

Many of today's best classification results are obtained by combining the responses of a set of base classifiers to produce an answer for the query. This paper explores a novel "query specific" combination rule: After learning a set of simple belief network classifiers, we produce an answer to each query by combining their individual responses, using weights based inversely on their respective variances around their responses. These variances are based on the uncertainty of the network parameters, which in turn depend on the training datasample. In essence, this variance quantifies the base classifier's confidence of its response to this query. …

Clustering Similarity Comparison Using Density Profiles, Eric Bae, James Bailey, Guozhu Dong

Kno.e.sis Publications

The unsupervised nature of cluster analysis means that objects can be clustered in many ways, allowing different clustering algorithms to generate vastly different results. To address this, clustering comparison methods have traditionally been used to quantify the degree of similarity between alternative clusterings. However, existing techniques utilize only the point memberships to calculate the similarity, which can lead to unintuitive results. They also cannot be applied to analyze clusterings which only partially share points, which can be the case in stream clustering. In this paper we introduce a new measure named ADCO, which takes into account density profiles for each …

An Online Discriminative Approach To Background Subtraction, Li Cheng, Shaojun Wang, Terry Caelli

Kno.e.sis Publications

We present a simple, principled approach to detecting foreground objects in video sequences in real-time. Our method is based on an on-line discriminative learning technique that is able to cope with illumination changes due to discontinuous switching, or illumination drifts caused by slower processes such as varying time of the day. Starting from a discriminative learning principle, we derive a training algorithm that, for each pixel, computes a weighted linear combination of selected past observations with time-decay. We present experimental results that show the proposed approach outperforms existing methods on both synthetic sequences and real video data.

Editorial Board & Iowa Academy Of Science Officers And Directors

Journal of the Iowa Academy of Science: JIAS

No abstract provided.

Relation Of Riparian Buffer Strips To In-Stream Habitat, Macroinvertebrates And Fish In A Small Iowa Stream, Jeremy P. Duehr, Michael J. Siepker, Clay L. Pierce, Thomas M. Isenhart

Journal of the Iowa Academy of Science: JIAS

Macroinvertebrate and fish habitat is often degraded as a result of agriculture. Riparian buffer strips are commonly used to counteract the negative effects of agriculture in headwater streams. We assessed the relation of multi-aged riparian buffer strips to in-stream habitat, macroinvertebrate and fish assemblages in an Iowa stream. In-stream habitat, macroinvertebrates, and fish were sampled from two buffered sites and two unbuffered sites, with the greatest substrate, water depth, and velocity heterogeneity occurring in buffered sites. The highest macroinvertebrate richness (11) as well as fish species richness (14), diversity (1.99) and IBI score (37) were found in the site buffered …

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Journal of the Iowa Academy of Science: JIAS

No abstract provided.

The Adaptation Of The Fibrinolytic Enzyme Apcfib On Human Blood Stains, Gabriela Sanchez

Whittier Scholars Program

Current research is aimed at testing a purified solution of a fibrinolytic enzyme. Apcfib, which comes from the venom of Agkistrodon piscivorus conanti (Florida cottonmouth Snake) to dissolve blood stains on two different makes of fabric (80% cotton/ 20% polyester and 100% polyester) and test the enzyme’s ability to dissolve blood stains when combined with a protease, in this case thermolysin, Treatment of blood stains on 100% polyester was more effective overall than on the 80% cotton/100% polyester fabric. 2.0x10^ -4 ��mol/min of Apcfib activity added to a 200��L of blood stain was the minimum needed in order to significantly …

Importing Extended Producer Responsibility For Electronic Equipment Into The United States, Chad Raphael, Ted Smith

Communication

Extended Producer Responsibility (EPR) is a policy approach that holds manufacturers accountable for the full costs of their products at every stage in their life cycle. EPR typically involves requiring that producers take back their products at the end of their useful lives, or pay a recycling contractor to do so, thereby internalizing the costs of recycling or disposal in a manufacturer’s bottom line. When companies know that they will bear the costs of product return and recycling, they are more likely to redesign their products for easier and safer handling at each step in the life cycle. This approach …

Combining Linear Regression With Reconstructability Analysis: A Study Of Differences In Health Status, Renato Carletti, Martin Zwick

Complex Systems Faculty Publications and Presentations

A linear regression model was used to predict variations in health status with the hypothesis that literacy level as a proximal measure for educational attainment would show a strong correlation with health status. Groups of other independent variables have also been introduced in the model to test whether the effect of literacy on health would have been mediated by other factors, or increased by them. The linear regression model did not show any strong relation between literacy and health, but pointed to other factors as predictors of health status.

Methods of data mining have been used for exploring throughout all …

University Of Texas At Tyler Catalog, 2006 - 2008, University Of Texas At Tyler

Catalogs

No abstract provided.

Driving Deep Semantics In Middleware And Networks: What, Why And How?, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

Knowledge Modeling And Its Application In Life Sciences: A Tale Of Two Ontologies, Satya S. Sahoo, Christopher Thomas, Amit P. Sheth, William S. York, Samir Tartir

Kno.e.sis Publications

High throughput glycoproteomics, similar to genomics and proteomics, involves extremely large volumes of distributed, heterogeneous data as a basis for identification and quantification of a structurally diverse collection of biomolecules. The ability to share, compare, query for and most critically correlate datasets using the native biological relationships are some of the challenges being faced by glycobiology researchers. As a solution for these challenges, we are building a semantic structure, using a suite of ontologies, which supports management of data and information at each step of the experimental lifecycle. This framework will enable researchers to leverage the large scale of glycoproteomics …

Show Me What You Mean! Exploiting Domain Semantics In Ontology Visualization, Ravi Pavagada, Christopher Thomas, Amit P. Sheth, William S. York

Kno.e.sis Publications

Ontologies build the backbone for many life-sciences applications. These ontologies, however, are represented in XML based languages that are meant for machine-consumption and hence are difficult for humans to comprehend. For a meaningful visualization of these ontologies, it is important that the display of entities and relationships captures the cognitive representation of the domain as perceived by the domain experts. In this paper we present OntoVista, an ontology visualization tool that is adaptable to the needs of different domains, especially in the life sciences. While keeping the graph structures as the predominant model, we provide a semantically enhanced graph display …

The Journal Of Undergraduate Research: Volume 04

The Journal of Undergraduate Research

This is the complete issue of the South Dakota State University Journal of Undergraduate Research, Volume 4.

You Should Run For Office (Video), Kevin O'Brien, Grace Drake

All Maxine Goodman Levin School of Urban Affairs Publications

No abstract provided.

Using The Census Bureau's Public Use Microdata For Migration Analysis, Mark Salling, Ellen Cyran

All Maxine Goodman Levin School of Urban Affairs Publications

Using the Census Bureau's Public Use Microdata for Migration Analysis, Proceedings of the annual conference of the Urban and Regional Information Systems Association, Vancouver, BC, Canada, September 2006, pp.336-348.

Proximity In Context: An Empirically Grounded Computational Model Of Proximity For Processing Topological Spatial Expression., John D. Kelleher, Geert-Jan Kruijff, Fintan Costello

Conference papers

The paper presents a new model for context-dependent interpretation of linguistic expressions about spatial proximity between objects in a natural scene. The paper discusses novel psycholinguistic experimental data that tests and verifies the model. The model has been implemented, and enables a conversational robot to identify objects in a scene through topological spatial relations (e.g. ''X near Y''). The model can help motivate the choice between topological and projective prepositions.

Incremental Generation Of Spatial Referring Expressions In Situated Dialogue, John D. Kelleher, Geert-Jan Kruijff

Conference papers

This paper presents an approach to incrementally generating locative expressions. It addresses the issue of combinatorial explosion inherent in the construction of relational context models by: (a) contextually defining the set of objects in the context that may function as a landmark, and (b) sequencing the order in which spatial relations are considered using a cognitively motivated hierarchy of relations, and visual and discourse salience.

Comparison Of Selected Survey Instruments For Software Team Communication Research, Raghava G. Gowda, Donald J. Polzella

Psychology Faculty Publications

One of the factors that influence task productivity is communication pertaining to task, resources, and organizational issues. The objective of this research is to explore the availability of validated survey instruments in the area of organizational and team communication and assess their applicability in software development team research. Based on past studies, we have selected six comprehensive instruments. This paper provides a brief summary of the instruments and the various dimensions that they cover. The instruments are classified using a Group Variable Classification System (GVCS - input-process - output - feedback) model for team research. As most of the instruments …

Evaluating The Impact Of Peer Review And Participation Awareness In An Online Collaborative Document Authoring Environment, Greg Baatard

Theses : Honours

Online Learning Environments (OLEs) have been widely adopted by higher education facilities, offering distance education with the potential to support the social and collaborative aspects deemed crucial to modern constructivist pedagogy. Groupware, a form of software which aims to facilitate group work, has been the subject of much research, from both educational and enterprise perspectives. This research introduced Reportal, an online groupware system designed to facilitate the collaborative authoring of a document. Reportal's peer review and participation awareness features were the focus of this research, and their impact was measured against the elements of online collaboration, a typology established by …

Book Review: Digital Crime And Forensic Science In Cyberspace, Gary C. Kessler

Journal of Digital Forensics, Security and Law

This issue presents the first Book Review column for the JDFSL. It is an experiment to broaden the services that the journal provides to readers, so we are anxious to get your reaction. Is the column useful and interesting? Should we include more than one review per issue? Should we also review products? Do you have suggested books/products for review and/or do you want to write a review? All of this type of feedback -- and more -- is appreciated. Please feel free to send comments to Gary Kessler ([email protected]) or Glenn Dardick ([email protected]).

Alphaco: A Teaching Case On Information Technology Audit And Security, Hüseyin Tanriverdi, Joshua Bertsch, Jonathan Harrison, Po-Ling Hsiao, Ketan S. Mesuria, David Hendrawirawan

Journal of Digital Forensics, Security and Law

Recent regulations in the United States (U.S.) such as the Sarbanes-Oxley Act of 2002 require top management of a public firm to provide reasonable assurance that they institute internal controls that minimize risks over the firm’s operations and financial reporting. External auditors are required to attest to the management’s assertions over the effectiveness of those internal controls. As firms rely more on information technology (IT) in conducting business, they also become more vulnerable to IT related risks. IT is critical for initiating, recording, processing, summarizing and reporting accurate financial and non-financial data. Thus, understanding IT related risks and instituting internal …

Table Of Contents

Journal of Digital Forensics, Security and Law

No abstract provided.

Designing A Data Warehouse For Cyber Crimes, Il-Yeol Song, John D. Maguire, Ki Jung Lee, Namyoun Choi, Xiaohua Hu, Peter Chen

Journal of Digital Forensics, Security and Law

One of the greatest challenges facing modern society is the rising tide of cyber crimes. These crimes, since they rarely fit the model of conventional crimes, are difficult to investigate, hard to analyze, and difficult to prosecute. Collecting data in a unified framework is a mandatory step that will assist the investigator in sorting through the mountains of data. In this paper, we explore designing a dimensional model for a data warehouse that can be used in analyzing cyber crime data. We also present some interesting queries and the types of cyber crime analyses that can be performed based on …

A Forensic Log File Extraction Tool For Icq Instant Messaging Clients, Kim Morfitt, Craig Valli

Journal of Digital Forensics, Security and Law

Instant messenger programs such as ICQ are often used by hackers and criminals for illicit purposes and consequently the log files from such programs are of interest in a forensic investigation. This paper outlines research that has resulted in the development of a tool for the extraction of ICQ log file entries. Detailed reconstruction of data from log files was achieved with a number of different ICQ software. There are several limitations with the current design including timestamp information not adjusted for the time zone, data could be altered, and conversations must be manually reconstructed. Future research will aim to …

The Design Of An Undergraduate Degree Program In Computer & Digital Forensics, Gary C. Kessler, Michael E. Schirling

Journal of Digital Forensics, Security and Law

Champlain College formally started an undergraduate degree program in Computer & Digital Forensics in 2003. The underlying goals were that the program be multidisciplinary, bringing together the law, computer technology, and the basics of digital investigations; would be available as on online and oncampus offering; and would have a process-oriented focus. Success of this program has largely been due to working closely with practitioners, maintaining activity in events related to both industry and academia, and flexibility to respond to ever-changing needs. This paper provides an overview of how this program was conceived, developed, and implemented; its evolution over time; and …