Physical Sciences and Mathematics Commons^™

Individual Differences In The Neural Basis Of Causal Inferencing, Chantel S. Prat, Robert A. Mason, Marcel Adam Just

Marcel Adam Just

No abstract provided.

A Mobile Agent-Based Tool Supporting Web Services Testing, Jia Zhang

Jia Zhang

No abstract provided.

Commonality Of Neural Representations Of Words And Pictures, Svetlana V. Shinkareva, Vincente L. Malave, Robert A. Mason, Tom M. Mitchell, Marcel Adam Just

Marcel Adam Just

No abstract provided.

Mountain Treelines: A Roadmap For Research Orientation, George P. Malanson

George P Malanson

For over 100 years, mountain treelines have been the subject of varied research endeavors and remain a strong area of investigation. The purpose of this paper is to examine aspects of the epistemology of mountain treeline research—that is, to investigate how knowledge on treelines has been acquired and the changes in knowledge acquisition over time, through a review of fundamental questions and approaches. The questions treeline researchers have raised and continue to raise have undoubtedly directed the current state of knowledge. A continuing, fundamental emphasis has centered on seeking the general cause of mountain treelines, thus seeking an answer to …

Riordan Arrays Associated With Laurent Series And Generalized Sheffer-Type Groups, Tian-Xiao He

Tian-Xiao He

A relationship between a pair of Laurent series and Riordan arrays is formulated. In addition, a type of generalized Sheffer groups is defined using Riordan arrays with respect to power series with non-zero coefficients. The isomorphism between a generalized Sheffer group and the group of the Riordan arrays associated with Laurent series is established. Furthermore, Appell, associated, Bell, and hitting-time subgroups of the groups are defined and discussed. A relationship between the generalized Sheffer groups with respect to different power series is presented. The equivalence of the defined Riordan array pairs and generalized Stirling number pairs is given. A type …

The Neural Basis Of Deictic Shifting In Linguistic Perspective-Taking In High-Functioning Autism, Akiko Mizuno, Yanni Liu, Diane L. Williams, Timothy A. Keller, Nancy J. Minshew, Marcel Adam Just

Marcel Adam Just

No abstract provided.

Exploiting Half-Wits: Smarter Storage For Low-Power Devices, Mastooreh Salajegheh, Yue Wang, Kevin Fu, Anxiao Jiang, Erik G. Learned-Miller

Erik G Learned-Miller

This work analyzes the stochastic behavior of writing to embedded flash memory at voltages lower than recom- mended by a microcontroller’s specifications to reduce energy consumption. Flash memory integrated within a microcontroller typically requires the entire chip to op- erate on common supply voltage almost double what the CPU portion requires. Our approach tolerates a lower supply voltage so that the CPU may operate in a more en- ergy efficient manner. Energy efficient coding algorithms then cope with flash memory that behaves unpredictably. Our software-only coding algorithms ( in-place writes , multiple-place writes , RS-Berger codes ) enable reliable storage …

On The Clustering Of Sub-Millimeter Galaxies, Christina C. Williams, Mauro Giavalisco, Cristiano Porciani, Min S. Yun, Alexandra Pope, Kimberly S. Scott, Jason E. Austermann, Itziar Aretxaga, Bunyo Hatsukade, Kyoung-Soo Lee, Grant W. Wilson, J. Ryan Cybulski, David H. Hughes, Ryo Kawabe, Kotaro Kohno, Thushara Perera, F. Peter Schloerb

Thushara A. Perera

We measure the angular two-point correlation function of sub-millimeter galaxies (SMGs) from 1.1-millimeter imaging of the COSMOS field with the AzTEC camera and ASTE 10-meter telescope. These data yields one of the largest contiguous samples of SMGs to date, covering an area of 0.72 degrees^2 down to a 1.26 mJy/beam (1-sigma) limit, including 189 (328) sources with S/N greater than 3.5 (3). We can only set upper limits to the correlation length r_0, modeling the correlation function as a power-law with pre-assigned slope. Assuming existing redshift distributions, we derive 68.3% confidence level upper limits of r_0 < 6-8 h^-1 Mpc at …

Towards The Regulation Of Ubiquitous Mobile Government: A Case Study On Location-Based Emergency Services In Australia, Anas Aloudat, K. Michael

Professor Katina Michael

Mobile alerts, notifications and location-based emergency warning systems are now an established part of mobile government strategies in an increasing number of countries worldwide. In Australia the national emergency warning system (NEWS) was instituted after the tragic Black Saturday Victorian Bushfires of February 2009. NEWS has enabled the provision of public information from the government to the citizen during emergencies anywhere and any time. Moving on from traditional short message service (SMS) notifications and cell broadcasting to more advanced location-based services, this paper explores the major issues faced by government, business and society at large, toward the realization of a …

Dynamic Floating-Point Cancellation Detection, Michael O. Lam, Jeffrey K. Hollingsworth, G. W. Stewart

Michael O Lam

No abstract provided.

An Efficient Framework For Searching Text In Noisy Document Images, Ismet Zeki Yalniz, R. Manmatha

R. Manmatha

An efficient word spotting framework is proposed to search text in scanned books. The proposed method allows one to search for words when optical character recognition (OCR) fails due to noise or for languages where there is no OCR. Given a query word image, the aim is to retrieve matching words in the book sorted by the similarity. In the offline stage, SIFT descriptors are extracted over the corner points of each word image. Those features are quantized into visual terms (visterms) using hierarchical K-Means algorithm and indexed using an inverted file. In the query resolution stage, the candidate matches …

Frameworks For Estimating Virtual Water Flows Among U.S. States, Stanley Mubako

Stanley Mubako

No abstract provided.

The Relationship Between Trench's Toeplitz Inversion Algorithm And The Gohberg-Semencul Formula, William F. Trench

William F. Trench

No abstract provided.

Analysis Of Operating Systems And Browsers: A Usage Metrics, Zahid Ashraf Wani Dr., Mohammad Ishaq Lone Mr.

Zahid Ashraf Wani

Purpose – The purpose of this paper is to examine the growth of FOSS and proprietary operating systems and browsing software used in computers and various types of mobile phone devices around the world. Design/methodology/approach – The data is gathered from StatCounter (http://gs.statcounter.com) - one of the biggest web analytics service. The collected data is analysed keeping objectives of the study in view. Findings – It offers a thorough insight of yearly and cumulative growth of software industry. As for as OS market is concerned Mac OSX and Linux have increased their share. Linux has increased from 0.69% in 2009 …

A Ray Tracing Approach To Diffusion Curves, John C. Bowers, Jonathan Leahey, Rui Wang

Rui Wang

Diffusion curves [OBW*08] provide a flexible tool to create smooth-shaded images from curves defined with colors. The resulting image is typically computed by solving a Poisson equation that diffuses the curve colors to the interior of the image. In this paper we present a new method for solving diffusion curves by using ray tracing. Our approach is analogous to final gathering in global illumination, where the curves define source radiance whose visible contribution will be integrated at a shading pixel to produce a color using stochastic ray tracing. Compared to previous work, the main benefit of our method is that …

Correlations And Anticorrelations In Lda Inference, Alexandre Passos, Hanna M. Wallach, Andrew Mccallum

Hanna M. Wallach

In this paper, we present preliminary work on identifying equivalent structures required by LDA, and how they affect inference of document-specific topic distributions. This work is based on the observation that when occurrences of a particular word type in a document could be explained by multiple topics, inference will almost always force the model to choose between these topics. Not only is this required by the structure of optimal solutions to the LDA inference problem (see lemma 4 of Sontag and Roy \cite{david11:compl}) but, intuitively, this is also why learning the topic-specific distributions over words is possible: by explaining all …

Anthropogenic Landform Modeling Using Gis Techniques Case Study: Vrancea Region, Adrian Ursu, Dan A. Chelaru, Florin C. Mihai

Florin C MIHAI

Anthropogenic landforms are the result of significant changes in the Earth's crust due to technological development of human society, guided by its economic, social and cultural needs. nthropogenic landforms of the studied area was analyzed using GIS techniques at the general scale, conducting the entire study area maps, and detailed modeling of representative samples in detail. Representing the anthropogenic landforms on the digital elevation model can be very important in studying natural hazards, such as hydrological modeling on flood plains, which could influence the direction of the flood wave. The digital elevation model (DEM) made by traditional methods can not …

A Fast Alignment Scheme For Automatic Ocr Evaluation Of Books, Ismet Zeki Yalniz, R. Manmatha

R. Manmatha

This paper aims to evaluate the accuracy of optical character recognition (OCR) systems on real scanned books. The ground truth e-texts are obtained from the Project Gutenberg website and aligned with their corresponding OCR output using a fast recursive text alignment scheme (RETAS). First, unique words in the vocabulary of the book are aligned with unique words in the OCR output. This process is recursively applied to each text segment in between matching unique words until the text segments become very small. In the final stage, an edit distance based alignment algorithm is used to align these short chunks of …

Computing Highly Accurate Confidence Limits From Discrete Data Using Importance Sampling, Chris Lloyd

Chris J. Lloyd

For discrete parametric models, approximate confidence limits perform poorly from a strict frequentist perspective. In principle, exact and optimal confidence limits can be computed using the formula of Buehler (1957), Lloyd and Kabaila (2003). So-called profile upper limits (Kabaila \& Lloyd, 2001) are closely related to Buehler limits and have extremely good properties. Both profile and Buehler limits depend on the probability of a certain tail set as a function of the unknown parameters. Unfortunately, this probability surface is not computable for realistic models. In this paper, importance sampling is used to estimate the surface and hence the confidence limits. …

Mining Relational Structure From Millions Of Books, David A. Smith, R. Manmatha, James Allan

R. Manmatha

Existing large-scale scanned book collections have many short- comings for data-driven research, from OCR of variable quality to the lack of accurate descriptive and structural meta-data. We argue that complementary research in inferring relational metadata is important in its own right to support use of these collections and that it can help to mitigate other problems with scanned book collections.

Blstm Neural Network Based Word Retrieval For Hindi Documents, Raman Jain, Volkmar Frinken, C. V. Jawahar, R. Manmatha

R. Manmatha

Retrieval from Hindi document image collections is a challenging task. This is partly due to the complexity of the script, which has more than 800 unique ligatures. In addition, segmentation and recognition of individual characters often becomes difficult due to the writing style as well as degradations in the print. For these reasons, robust OCRs are non existent for Hindi. Therefore, Hindi document repositories are not amenable to indexing and retrieval. In this paper, we propose a scheme for retrieving relevant Hindi documents in response to a query word. This approach uses BLSTM neural networks. Designed to take contextual information …

Review Of The Health Information Technology Initiatives In Maryland And Georgia, Maurice Dawson, James Truesdale, Joshua Robinson

Maurice Dawson

Health Information Technology (IT) is an important topic within the health community currently. Many states must update their status in relation to the Strategic and Operation Plan under the State Cooperative Agreement. In this literature review the findings have been summarized in reference to what is proposed in three states. Key items reviewed are the following; governance, policy/legal, technical infrastructure, business and technical operations,communications/marketing, and relationships to Medicaid/Medicare. With regards to the States of Maryland and Georgia, the State Health Information Exchange (HIE) Cooperative Agreement Program will allow both states to enhance its existing strategic plan and to build an …

Utilization Of E-Learning Tools, Virtual Machines, & Open Source Software To Enhance Graduate Systems Engineering Programs, Maurice Dawson, Darrell Burrell, William Emanuel

Maurice Dawson

This paper is a report on the findings of a study conducted on a graduate systems engineering course at an urban university in a group learning environment. The course, IEGR 501 Introduction to Advanced Systems Engineering, was a sixteen week course which took students with backgrounds in Industrial Engineering, Electrical Engineering, and Mechanical Engineering and prepared them to understand the systems engineering subject matter more. As the future of education becomes more and more virtual it becomes essential that universities take full advantage of the available tools at their disposal.

Understanding The Need And Importance Of The Cloud Computing Environment Within The National Institute Of Food And Agriculture, An Agency Of The United States Department Of Agriculture, Festus Onyegbula, Maurice Dawson, Jeffrey Stevens

Maurice Dawson

Aligning information systems to corporate goals has emerged as a leading concern over the last couple of decades. It is essential that we understand the need for cloud computing and how this technology can be implemented. Through this literature review we review theories of cloud computing and further elaborate on the theoretical framework for the implementation of cloud computing technology across organizations. We also detail cloud computing implementations across various governmental organizations and also across the industry. This review is expected to provide the current study with a more practical perspective on the issues and complexities of using cloud computing …

Ranking Of Provinces In Iran According To Socio-Economic Indices, Jalil Khodaparast Shirazi, Reza Moosavi Mohseni, A. R. Rahmansetayesh

Reza Moosavi Mohseni

Some parts of a country may have lower income earned through business activities in comparison with other parts of the country. When it is accompanied by lack of social income because of less access to the products and services provided by the government, it will lead to the serious lag of some areas of the country in comparison with other areas. The first step to prevent such a problem is the recognition of the present situation and the second step is programming to reach an appropriate situation. This article applied socioeconomic indices to recognize the current condition in Fars province …

Exploring The Neural Dynamics Underpinning Individual Differences In Sentence Comprehension, Chantel S. Prat, Marcel Adam Just

Marcel Adam Just

No abstract provided.

Windows Executable For Gaussian Copula With Nbd Margins, Michael S. Smith

Michael Stanley Smith

This is an example Windows 32bit program to estimate a Gaussian copula model with NBD margins. The margins are estimated first using MLE, and the copula second using Bayesian MCMC. The model was discussed in Danaher & Smith (2011; Marketing Science) as example 4 (section 4.2).

Modeling Multivariate Distributions Using Copulas: Applications In Marketing, Peter J. Danaher, Michael S. Smith

Michael Stanley Smith

In this research we introduce a new class of multivariate probability models to the marketing literature. Known as “copula models”, they have a number of attractive features. First, they permit the combination of any univariate marginal distributions that need not come from the same distributional family. Second, a particular class of copula models, called “elliptical copula”, have the property that they increase in complexity at a much slower rate than existing multivariate probability models as the number of dimensions increase. Third, they are very general, encompassing a number of existing multivariate models, and provide a framework for generating many more. …

Bicycle Commuting In Melbourne During The 2000s Energy Crisis: A Semiparametric Analysis Of Intraday Volumes, Michael S. Smith, Goeran Kauermann

Michael Stanley Smith

Cycling is attracting renewed attention as a mode of transport in western urban environments, yet the determinants of usage are poorly understood. In this paper we investigate some of these using intraday bicycle volumes collected via induction loops located at ten bike paths in the city of Melbourne, Australia, between December 2005 and June 2008. The data are hourly counts at each location, with temporal and spatial disaggregation allowing for the impact of meteorology to be measured accurately for the first time. Moreover, during this period petrol prices varied dramatically and the data also provide a unique opportunity to assess …

Table Of Contents, David D. Nolte

David D Nolte