Physical Sciences and Mathematics Commons^™

Data Exploration Tools For The Gene Ontology Database, Elizabeth Shoop, Paulo Casaes, Getiria Onsongo, Lisa Lesnett, Erla Petursdottir, Edward Donkor, Dennis Tkach, Michael Cosimini

Elizabeth Shoop

No abstract provided.

Inheritance Evaluation System Using Islamic Law, Dr. Muhammad Zubair Asghar, Fazal Masud Kundi, Abdur Rashid Khan

Dr. Muhammad Zubair Asghar

The research work about the Inheritance Evaluation System using Islamic law is valuable for automatic calculation of share out of total inheritance of a deceased to his/her legal heir(s). First version of the software named as Islamic Inheritance Evaluation System (IIES) deals with Hanfi School of thought. IIES may solve the heritage problem of heirs in text as well as in graphical form at home without establishing a suit in any court. This also leads to further research of who is how much related to whom?

An Approach To Facilitate Reliability Testing Of Web Services Components, Jia Zhang

Jia Zhang

No abstract provided.

An Entrepreneur's Dilemma : To Swot Or Not To Swot, A. Desai Chaanakya, Arcot Desai Narasimhalu

Arcot Desai NARASIMHALU

This work presents an updated and revised model for evaluating companies using a 'snapshot' analysis. Historically, the SWOT model has been the preferred analysis tool, but with an increasing number of entrepreneurs faced with a non-mature market, a new tool must be developed for accurate analysis.

Time-Warped Longest Common Subsequence Algorithm For Music Retrieval, Anyuan Guo, Hava Siegelmann

Hava Siegelmann

Recent advances in music information retrieval have enabled users to query a database by singing or humming into a microphone. The queries are often inaccurate versions of the original songs due to singing errors and errors introduced in the music transcription process. In this paper, we present the Time-Warped Longest Common Sub-sequence algorithm (T-WLCS), which deals with singing errors involving rhythmic distortions. The algorithm is employed on song retrieval tasks, where its performance is compared to the longest common subsequence algorithm.

Microarrays For Global Expression Constructed With A Low Redundancy Set Of 27,500 Sequenced Cdnas Representing An Array Of Developmental Stages And Physiological Conditions Of The Soybean Plant, Elizabeth Shoop, Et Al

Elizabeth Shoop

No abstract provided.

Ws-Trustworthy: A Framework For Web Services Centered Trustworthy Computing, Jia Zhang, Liang-Jie Zhang, Jen-Yao Chung

Jia Zhang

No abstract provided.

An Approach To Help Select Trustworthy Web Services, Jia Zhang, Liang-Jie Zhang, Jen-Yao Chung

Jia Zhang

No abstract provided.

A Uniform Meta-Model For Mediating Formal Electronic Conferences, Jia Zhang, Carl Chang, Jeffrey Voas

Jia Zhang

No abstract provided.

Performance Property Theories For Predictable Assembly From Certifiable Components (Pacc), Scott A. Hissam, Mark H. Klein, John Lehoczky, Paulo Merson, Gabriel A. Moreno, Kurt C. Wallnau

Gabriel A. Moreno

A Transport Layer For Live Streaming In A Content Delivery Network, Leonidas Kontothanassis, Ramesh Sitaraman, Joel Wein, Duke Hong, Robert Kleinberg, Brian Mancuso, David Shaw, Daniel Stodolsky

Ramesh Sitaraman

Streaming media on the internet has experienced rapid growth over the last few years and will continue to increase in importance as broadband technologies and authoring tools continue to improve. As the internet becomes an increasingly popular alternative to traditional communications media, internet streaming will become a significant component of many content providers’ communications strategy. Internet streaming, however, poses significant challenges for content providers since it has significant distribution problems. Scalability, quality, reliability, and cost are all issues that have to be addressed in a successful streaming media offering. Streaming Content Delivery Networks attempt to provide solutions to the bottlenecks …

Ws-Net: A Petri-Net Based Specification Model For Web Services, Jia Zhang, Carl Chang, Jen-Yao Chung, Seong Kim

Jia Zhang

No abstract provided.

Assisting Seller Pricing Strategy Selection For Electronic Auction, Jia Zhang, Ning Zhang, Jen-Yao Chung

Jia Zhang

No abstract provided.

Relationships Between Computer Skills And Technostress Levels: How Does This Affect Me?, Sonya Shepherd

Sonya S. Gaither

No abstract provided.

Towards Increasing Web Application Productivity, Jia Zhang, Jen-Yao Chung, Carl Chang

Jia Zhang

No abstract provided.

Migration To Web Services Oriented Architecture – A Case Study, Jia Zhang, Jen-Yao Chung, Carl Chang

Jia Zhang

No abstract provided.

Computation In Gene Networks, Hava Siegelmann, Asa Ben-Hur

Hava Siegelmann

Genetic regulatory networks have the complex task of controlling all aspects of life. Using a model of gene expression by piecewise linear differential equations we show that this process can be considered as a process of computation. This is demonstrated by showing that this model can simulate memory bounded Turing machines. The simulation is robust with respect to perturbations of the system, an important property for both analog computers and biological systems. Robustness is achieved using a condition that ensures that the model equations, that are generally chaotic, follow a predictable dynamics.

Imagery In Sentence Comprehension: An Fmri Study, Marcel Just, Sharlene Newman, Timothy Keller, Alice Mceleney, Patricia Carpenter

Marcel Adam Just

No abstract provided.

How The Brain Processes Causal Inferences In Text: A Theoretical Account Of Generation And Integration Component Processes Utilizing Both Cerebral Hemispheres, Robert Mason, Marcel Just

Marcel Adam Just

No abstract provided.

When Indexing Equals Compression: Experiments With Compressing Suffix Arrays And Applications, Roberto Grossi, Ankur Gupta, Jeffrey Vitter

Ankur Gupta

On The Dynamics Of Puck Clustering Systems, S. Kazadi, M. Chung, B. Lee, R. Cho

Sanza Kazadi

Hyperspacings And The Estimation Of Information Theoretic Quantities, Erik G. Learned-Miller

Erik G Learned-Miller

The estimation of probability densities from data is widely used as an intermediate step in the estimation of entropy, Kullback-Leibler (KL) divergence, and mutual information, and for statistical tasks such as hypothesis testing. We propose an alternative to density estimation– partitioning a space into regions whose approximate probability mass is known–that can be used for the same purposes. We call these regions hyperspacings, a generalization of spacings in one dimension. After discussing one-dimensional spacings estimates of entropy and KL-divergence, we show how hyperspacings can be used to estimate these quantities (and mutual information) in higher dimensions. Our approach outperforms certain …

Statistical Models For Automatic Video Annotation And Retrieval, V. Lavrenko, S. L. Feng, R. Manmatha

R. Manmatha

We apply a continuous relevance model (CRM) to the problem of directly retrieving the visual content of videos using text queries. The model computes a joint probability model for image features and words using a training set of annotated images. The model may then be used to annotate unseen test images. The probabilistic annotations are used for retrieval using text queries. We also propose a modified model - the normalized CRM - which substantially improves performance on a subset of the TREC Video dataset.

A Scale Space Approach For Automatically Segmenting Words From Historical Handwritten Documents, R. Manmatha, Jamie L. Rothfeder

R. Manmatha

Many libraries, museums, and other organizations contain large collections of handwritten historical documents, for example, the papers of early presidents like George Washington at the Library of Congress. The first step in providing recognition/ retrieval tools is to automatically segment handwritten pages into words. State of the art segmentation techniques like the gap metrics algorithm have been mostly developed and tested on highly constrained documents like bank checks and postal addresses. There has been little work on full handwritten pages and this work has usually involved testing on clean artificial documents created for the purpose of research. Historical manuscript images, …

Learning To Decode Cognitive States From Brain Images, Tom M. Mitchell, Rebecca Hutchinson, Radu S. Niculescu, Francisco Pereira, Xuerui Wang, Marcel Adam Just, Sharlene D. Newman

Marcel Adam Just

No abstract provided.

Holistic Word Recognition For Handwritten Historical Documents, Victor Lavrenko, Toni M. Rath, R. Manmatha

R. Manmatha

Most offline handwriting recognition approaches proceed by segmenting words into smaller pieces (usually characters) which are recognized separately. The recognition result of a word is then the composition of the individually recognized parts. Inspired by results in cognitive psychology, researchers have begun to focus on holistic word recognition approaches. Here we present a holistic word recognition approach for single-author historical documents, which is motivated by the fact that for severely degraded documents a segmentation of words into characters will produce very poor results. The quality of the original documents does not allow us to recognize them with high accuracy - …

Before The Web There Was Gopher, Philip L. Frana

Philip L Frana

The World Wide Web, universally well known today, was preceded by an efficient software tool that was fondly named Gopher. The Internet Gopher, much like the Web, enabled users to obtain information quickly and easily. Why, then, did it disappear but the Web did not? Gopher faded into obscurity for two main reasons: hypertext and commerce.

A Search Engine For Historical Manuscript Images, Toni M. Rath, R. Manmatha, Victor Lavrenko

R. Manmatha

Many museum and library archives are digitizing their large collections of handwritten historical manuscripts to enable public access to them. These collections are only available in image formats and require expensive manual annotation work for access to them. Current handwriting recognizers have word error rates in excess of 50% and therefore cannot be used for such material. We describe two statistical models for retrieval in large collections of handwritten manuscripts given a text query. Both use a set of transcribed page images to learn a joint probability distribution between features computed from word images and their transcriptions. The models can …

Extracting User Intent In Mixed Initiative Teleoperator Control, Andrew H. Fagg, Michael Rosenstein, Robert Platt Jr., Roderic Grupen

Roderic Grupen

User fatigue is common with robot teleoperation interfaces. Mixed initiative control approaches attempt to reduce this fatigue by allowing control responsibility to be shared between the user and an intelligent control system. A critical challenge is how the user can communicate her intentions to the control system in an intuitive manner as possible. In the context of control of a humanoid robot, we propose an interface that uses the movement currently commanded by the user to assess the intended outcome. Specifically, given the observation of the motion of the teleoperated robot for a given period of time, we would like …

Cortical Activation And Synchronization During Sentence Comprehension In High-Functioning Autism: Evidence Of Underconnectivity, Marcel Adam Just, Vladimir L. Cherkassky, Timothy A. Keller, Nancy J. Minshew

Marcel Adam Just

No abstract provided.