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.

Trapezoidal Phase-Shifting Method For 3d Shape Measurement, Peisen S. Huang, Song Zhang, Fu-Pen Chiang

Song Zhang

We propose a novel structured light method, namely trapezoidal phase-shifting method, for 3-D shape measurement. This method uses three patterns coded with phase-shifted, trapezoidal-shaped gray levels. The 3-D information of the object is extracted by direct calculation of an intensity ratio. Theoretical analysis showed that this new method was significantly less sensitive to the defocusing effect of the captured images when compared to the traditional intensity-ratio based methods. This important advantage makes large-depth 3-D shape measurement possible. If compared to the sinusoidal phase-shifting method, the resolution is similar, but the processing speed is at least 4.5 times faster. The feasibility …

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.

Everything You Wanted To Know About Licensing Agreements, Gordon C. Tibbitts

Gordon C. Tibbitts III

This presentation explores the intricacies of licensing agreements to help develop strategies for negotiating the broadest possible access to electronic content for a library. Issues such as inter-library loan restrictions, archiving, duplication among aggregator databases, and withdrawal of content are discussed. The process of negotiating licensing agreements and how to identify those clauses that are particularly important or sensitive are described. How to draft library-friendly agreements and collaborative ways librarians and information providers can work together to find solutions to the evolving problems of content access and delivery are described.

Adaptive Agents For Supply Networks, Gavin Finnie, Jeffrey Barker

Jeffrey Barker

Dynamic information flow in esupply networks requires that buyers and suppliers have the ability to react rapidly when needed. Using intelligent agents to automate the process of buyer/seller interaction has been proposed by a number of researchers. One problem in providing intelligent automated collaboration is incorporating learning capability i.e. an agent should be capable of adapting its behaviour as conditions change. This paper proposes a scalable multi-agent system which uses case-based reasoning as a framework for at least part of its intelligence. Tests with a simulated system show that such an agent is capable of learning the best supplier and …

Removing Excess Topology From Isosurfaces, Zoë J. Wood, Hugues Hoppe, Mathieu Desbrun, Peter Shröder

Zoë Wood

Many high-resolution surfaces are created through isosurface extraction from volumetric representations, obtained by 3D photography, CT, or MRI. Noise inherent in the acquisition process can lead to geometrical and topological errors. Reducing geometrical errors during reconstruction is well studied. However, isosurfaces often contain many topological errors in the form of tiny handles. These nearly invisible artifacts hinder subsequent operations like mesh simplification, remeshing, and parametrization. In this article we present a practical method for removing handles in an isosurface. Our algorithm makes an axis-aligned sweep through the volume to locate handles, compute their sizes, and selectively remove them. The algorithm …

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.

Names And Faces In The News, Tamara Berg, Alexander Berg, Jaety Edwards, Michael Maire, Ryan White, Yee Teh, Erik Learned-Miller, D Forsyth

Erik G Learned-Miller

We show quite good face clustering is possible for a dataset of inaccurately and ambiguously labelled face images. Our dataset is 44,773 face images, obtained by applying a face finder to approximately half a million captioned news images. This dataset is more realistic than usual face recognition datasets, because it contains faces captured "in the wild" in a variety of configurations with respect to the camera, taking a variety of expressions, and under illumination of widely varying color. Each face image is associated with a set of names, automatically extracted from the associated caption. Many, but not all such sets …

Multiple Bernoulli Relevance Models For Image And Video Annotation, S. Feng, R. Manmatha, V. Lavrenko

R. Manmatha

Retrieving images in response to textual queries requires some knowledge of the semantics of the picture. Here, we show how we can do both automatic image annotation and retrieval (using one word queries) from images and videos using a multiple Bernoulli relevance model. The model assumes that a training set of images or videos along with keyword annotations is provided. Multiple keywords are provided for an image and the specific correspondence between a keyword and an image is not provided. Each image is partitioned into a set of rectangular regions and a real-valued feature vector is computed over these regions. …

Automatic Image Annotation Of News Images With Large Vocabularies And Low Quality Training Data, J. Jeon, R. Manmatha

R. Manmatha

A traditional approach to retrieving images is to manually annotate the image with textual keywords and then retrieve images using these keywords. Manual annotation is expensive and recently a few approaches have been proposed for automatically annotating images. These techniques usually learn a statistical model using a training set of images annotated with keywords and use this model to automatically annotate test images. While promising, these techniques have generally been tested on a few thousand images, with vocabularies of a few hundred words or less and using relatively high quality training data where the keywords are categories/objects and are directly …

Porównanie Poprzedniej I Aktualnej Metodyki Modelowania Rozprzestrzeniania Się Zanieczyszczeń W Powietrzu Opartej Na Modelu Smugi Gaussa, Robert Oleniacz, Marek Bogacki

Robert Oleniacz

Necessity of adaptation the Polish law in the field of the environment protection to the European Union law caused to adopt new criterions and methods of the air quality assessment. One of the methods of the air quality assessment is modeling of the substance levels in the air based on the calculation of the air pollutant dispersion in the atmosphere. Thus necessary changes also encompassed the basic methodology applied in our country for many years that had made possible calculation of the air pollution caused by existing and new emission sources. After some modifications the computation method was adopted as …

Referencyjna Metodyka Modelowania Poziomów Substancji W Powietrzu Na Tle Innych Modeli Obliczeniowych, Marek Bogacki, Robert Oleniacz

Robert Oleniacz

In the paper some differences between various computational models applied to the atmospheric dispersion modeling were presented. These models each other were compared as regards the expanse-time scale of computation, description way of the wind field and the frame of reference for the air particle moves. Particular attention was paid to the Gauss plume model that was a base for a modeling method of the pollutant levels in the air accepting in Poland as the reference methodology. A general description, applications and limitations of this methodology were presented, as well data essential to the computation, way of the data preparing …

Miniaturen. Studien Zu Kalkül Und Kreativität 1998-2002, Rudolf Kaehr

Rudolf Kaehr

Informatik, künstlerische Praktik und Kunsttheorie der digitalen Bildtechnologien NULL&NICHTS; weder leer, noch nicht – oder Kraut und Rüben Gedanken zu einer autonomen Medienwissenschaft Das Menschenbild aus der Sicht einer polykontexturalen Systemtheorie Thesen zum trans-klassischen Menschenbild Gebaute Phantasien, unkontrollierbare Schwankungen Kreativität und Kalkül Ver_Endungen in/der Programmierbarkeit Diagrammatik: Denken a la Carte Zur Verstörung des (H)ortes der Zerstörung Zur Kenogrammatik der Medientheorie

Dynamic Semantic Web, Rudolf Kaehr

Rudolf Kaehr

Dynamic Semantic Web (DSW) is based at first on the techniques, methods and paradigms of the emerging Semantic Web movement and its applications. DSW is advancing one fundamental step further from a static to a dynamic concept of the Semantic Web with extended flexibility in the navigation between ontologies and more profound transparency of the informational system. Web Services are now redefinded by Semantic Web. To proof the advantages of DSW, it is the main aim of this project to develop the tools and methods necessary to develop a DSW based Web Service (DSW business application). The existing framework of …

A Hidden Markov Model Capable Of Predicting And Discriminating Β-Barrel Outer Membrane Proteins, Pantelis G. Bagos, Theodore D. Liakopoulos, Ioannis C. Spyropoulos, Stavros J. Hamodrakas

Pantelis Bagos

BACKGROUND: Integral membrane proteins constitute about 20-30% of all proteins in the fully sequenced genomes. They come in two structural classes, the alpha-helical and the beta-barrel membrane proteins, demonstrating different physicochemical characteristics, structure and localization. While transmembrane segment prediction for the alpha-helical integral membrane proteins appears to be an easy task nowadays, the same is much more difficult for the beta-barrel membrane proteins. We developed a method, based on a Hidden Markov Model, capable of predicting the transmembrane beta-strands of the outer membrane proteins of gram-negative bacteria, and discriminating those from water-soluble proteins in large datasets. The model is trained …

Effect Of Different Thyroid States On Mitochondrial Porin Synthesis And Hexokinase Activity In Developing Rabbit Brain., Philadelphia University

Philadelphia University, Jordan

No abstract provided.