Physical Sciences and Mathematics Commons^™

The Analytical Evolution Of Nls Solitons Due To The Numerical Discretization Error, Prof. Tim Marchant

Tim Marchant

Soliton perturbation theory is used to obtain analytical solutions describing solitary wave tails or shelves, due to numerical discretization error, for soliton solutions of the nonlinear Schrodinger equation. Two important implicit numerical schemes for the nonlinear Schrodinger equation, with second-order temporal and spatial discretization errors, are considered. These are the Crank-Nicolson scheme and a scheme, due to Taha [1], based on the inverse scattering transform. The first-order correction for the solitary wave tail, or shelf, is in integral form and an explicit expression is found for large time. The shelf decays slowly, at a rate of t(-1/2), which is characteristic …

Zest Based Visualization For Requirements Negotiation, Siti Salwah Salim

Siti Salwah Salim Prof. Dr.

Win-Win is one of the most common models which help systems stakeholders resolve conflicts during system Requirements Negotiation (RN). Solving conflicts, however, is barely dependent on visualizing the negotiation itself The Zest algorithm was invented to visualize a standard e-mail discussion and demonstrate a concise overview of the discussion to facilitate a more productive one. This research sought to use this algorithm in visualizing the RN process in groupware. We have formulated a conceptual diagram on which to base the design and development process of the groupware for implementing the Zest algorithm. Our implementation of the algorithm has later been …

Model Independent Economics Based On Swarm Engineering, S. Kazadi

Sanza Kazadi

Using Gis To Identify Cave Levels And Discern The Speleogenesis Of The Carter Caves Karst Area, Kentucky, Lara Harlan, Eric Wade Peterson, Toby J. Dogwiler

Eric Wade Peterson

Temporal Stability Of Cave Sediments, Kevin Hughes, Eric Wade Peterson

Eric Wade Peterson

Enforcing Similarity Constraints With Integer Programming For Better Scene Text Recognition, David L. Smith, Jacqueline Feild, Erik G. Learned-Miller

Erik G Learned-Miller

The recognition of text in everyday scenes is made dif- ficult by viewing conditions, unusual fonts, and lack of lin- guistic context. Most methods integrate a priori appear- ance information and some sort of hard or soft constraint on the allowable strings. Weinman and Learned-Miller [ 14 ] showed that the similarity among characters, as a supple- ment to the appearance of the characters with respect to a model, could be used to improve scene text recognition. In this work, we make further improvements to scene text recognition by taking a novel approach to the incorpora- tion of similarity. In …

Extracting Information From Functional Connectivity Maps Via Function-On-Scalar Regression, Philip T. Reiss, Maarten Mennes, Eva Petkova, Lei Huang, Matthew J. Hoptman, Bharat B. Biswal, Stanley J. Colcombe, Xi-Nian Zuo, Michael P. Milham

Lei Huang

Functional connectivity of an individual human brain is often studied by acquiring a resting state functional magnetic resonance imaging scan, and mapping the correlation of each voxel's BOLD time series with that of a seed region. As large collections of such maps become available, including multisite data sets, there is an increasing need for ways to distill the information in these maps in a readily visualized form. Here we propose a two-step analytic strategy. First, we construct connectivity-distance profiles, which summarize the connectivity of each voxel in the brain as a function of distance from the seed, a functional relationship …

Gis And Paleoanthropology: Incorporating New Approaches From The Geospatial Sciences In The Analysis Of Primate And Human Evolution, Robert L. Anemone, Glenn C. Conroy, Charles W. Emerson

Robert L. Anemone

The incorporation of research tools and analytical approaches from the geospatial sciences is a welcome trend for the study of primate and human evolution. The use of remote sensing (RS) imagery and geographic information systems (GIS) allows vertebrate paleontologists, paleoanthropologists, and functional morphologists to study fossil localities, landscapes, and individual specimens in new and innovative ways that recognize and analyze the spatial nature of much paleoanthropological data. Whether one is interested in locating and mapping fossiliferous rock units in the field, creating a searchable and georeferenced database to catalog fossil localities and specimens, or studying the functional morphology of fossil …

A Collaborative Multimedia Annotation Tool For Enhancing Knowledge Sharing In Cscl, Stephen J.H. Yang, Jia Zhang, Addison Su, Jeffrey J.P. Tsai

Jia Zhang

No abstract provided.

High-Speed Synthetic Aperture Microscopy For Live Cell Imaging, M Kim, Y Choi, Christopher Fang-Yen, Y Sung, R R. Dasari, W Choi

Christopher Fang-Yen

No abstract provided.

Video-Rate Tomographic Phase Microscopy, Christopher Fang-Yen, W Choi, Y Sung, C J. Holbrow, R R. Dasari, M S. Feld

Christopher Fang-Yen

No abstract provided.

Autonomy Of Lower-Level Perception From Global Processing In Autism: Evidence From Brain Activation And Functional Connectivity, Yanni Liu, Vladimir L. Cherkassky, Nancy J. Minshew, Marcel Adam Just

Marcel Adam Just

No abstract provided.

Student Surveys: What Do They Think?, Holly Zullo, Kelly Cline, Mark Parker, Ron Buckmire, John George, Katharine Gurski, Jakob J. Larsen, Blake Mellor, Jack Oberweiser, Dennis Peterson, Richard Spindler, Ann Stewart, Christopher Storm

Ron Buckmire

No abstract provided.

Toward A Framework For The Large Scale Textual And Contextual Analysis Of Government Information Declassification Patterns, Rachel Shorey, Hanna M. Wallach, Bruce Demarais

Hanna M. Wallach

The U.S. government protects a massive number of documents as part of its Official Security Classification System. According to the NARA's Information Security Oversight Office, in 2008 over 2.3 million documents were classified, over 5.1 million pages were declassified, and the administration of the classification system cost approximately $8.6 billion. The scope of government secrecy is determined by the quantity of text that is classified and the duration for which that information remains secret. We focus on duration of classification by investigating the decision to declassify formerly secret documents. We design and implement a statistical approach for studying the declassification …

Modelling The Impact Of Personality On Individual Performance Behavior With A Time-Varying Mixture Of Monotonic Random Effects, Sally A. Wood, Edward J. Cripps, Robert E. Wood, John Lau

Sally Wood

A method is presented for flexibly modelling longitudinal data that provides insight to a central question in psychology theory: the dependency between personality clas- sification and individual performance behavior. Flexibility is achieved by assuming the regression coefficients of random effects models are generated from a time-varying mixture of an unknown but finite number of processes, where the weights attached to the number of processes are parameterised to depend upon an individual’s personality classification. For a given number of mixture components the component processes are constrained distributions and the weights attached to them depend upon time. The method is made robust …

Proportional-Integral-Derivative (Pid) Temperature Control & Data Acquisition System For Faraday Filter Based Sodium Spectrometer, Vardan Semerjyan, Tao Yuan

Vardan Semerjyan

Sodium (Na) Faraday filters based spectrometer is a relatively new instrument to study sodium nightglow [Harrell et al., 2010] as well as atmospheric chemistry in the mesopause region. Successful spectrometer measurement demands highly accurate control of filter temperature. The ideal operation site for this Na spectrometer would be an isolated location with minimum nocturnal sky background. Thus, the remote and automatic control of the filter temperature is a requirement for such operation, whereas current temperature controllers can only be adjusted manually by the operator. The proposed approach is aimed not only to enhance the accuracy of the temperature control but …

Inter-Regional Brain Communication And Its Disturbance In Autism, Sarah E. Schipul, Timothy A. Keller, Marcel Adam Just

Marcel Adam Just

No abstract provided.

Forensic Triage For Mobile Phones With Dec0de, Robert Walls, Brian N. Levine, Erik G. Learned-Miller

Erik G Learned-Miller

We present DEC0DE, a system for recovering information from phones with unknown storage formats, a critical problem for forensic triage. Because phones have myr- iad custom hardware and software, we examine only the stored data. Via flexible descriptions of typical data struc- tures, and using a classic dynamic programming algo- rithm, we are able to identify call logs and address book entries in phones across varied models and manufactur- ers. We designed DEC0DE by examining the formats of one set of phone models, and we evaluate its performance on other models. Overall, we are able to obtain high performance for …

Computational Style Processing, Foaad Khosmood

Foaad Khosmood

Our main thesis is that computational processing of natural language styles can be accomplished using corpus analysis methods and language transformation rules. We demonstrate this first by statistically modeling natural language styles, and second by developing tools that carry out style processing, and finally by running experiments using the tools and evaluating the results. Specifically, we present a model for style in natural languages, and demonstrate style processing in three ways: Our system analyzes styles in quantifiable terms according to our model (analysis), associates documents based on stylistic similarity to known corpora (classification) and manipulates texts to match a desired …

Collaborative Scientific Workflows Supporting Collaborative Science, Shiyong Lu, Jia Zhang

Jia Zhang

No abstract provided.

A Practical Ad-Hoc Adjustment To The Simes P-Value, Chris Lloyd

Chris J. Lloyd

The Simes P-value is more powerful than Bonferroni but still suffers from some conservatism when the tests are correlated. Based on a massive simulation study, I develop a formula that corrects for this conservatism. it requires the number of experimental arms which is known. It also requires the correlation and skewness of the underlying test statistics, which will need analytic approximation in practice.

Thermally, Photochemically And Electrically Switchable Reflection Colors From Self-Organized Chiral Bent-Core Liquid Crystals, Quan Li, Manoj Mathews, Rafael S. Zola, Deng-Ke Yang

Quan Li

We report the synthesis and characterization of two new chiral 1,3-phenylene based five ring bent-core mesogens that combine the unique electro-optic characteristics of banana-shaped molecules with chiroptic properties. Azobenzene moiety incorporated as a linking unit in one of the rigid arms renders trans cis isomerization property to the molecules while chirality is introduced by tethering chiral aliphatic terminal chains. Both compounds can self-organize into helical superstructure, i.e. cholesteric mesophase, which can selectively reflect light. The novelty of the helical self-organized superstructure reported here lies in its low molecular weight single component molecular system that is truly multifunctional so that the …

Self-Organized Photochromic Dithienylcyclopentene Organogels, Krishnamurthy Rameshbabu, Lu Zuo, Chanjoong Kim, Augustine Urbas, Quan Li

Chanjoong Kim

A series of photochromic organogelators based on dithienylcyclopentene amides with a phenylene unit as a bridge between the amide and long alkyl chain were synthesized, their gelation behaviors were characterized by rheology, FT-IR, H-1 NMR, SEM, optical microscopy, UV-Vis and fluorescence spectroscopy. These organogelator molecules were found to be able to induce gelation in apolar solvents such as benzene, toluene and p-xylene to form entangled networks driven by intermolecular hydrogen bonding together with pi-pi interactions. Their excellent reversible photochromism with thermal stability in both solution and gel states was observed, and the thermally reversible property in sol-gel transition was exhibited.

Partial Duplicate Detection For Large Book Collections, Ismet Zeki Yalniz, Ethem F. Can, R. Manmatha

R. Manmatha

A framework is presented for discovering partial duplicates in large collections of scanned books with optical character recognition (OCR) errors. Each book in the collection is represented by the sequence of words (in the order they appear in the text) which appear only once in the book. These words are referred to as ``unique words'' and they constitute a small percentage of all the words in a typical book. Along with the order information the set of unique words provides a compact representation which is highly descriptive of the content and the flow of ideas in the book. By aligning …

Distribution Fields, Laura Sevilla Lara, Erik G. Learned-Miller

Erik G Learned-Miller

No abstract provided.

Online Domain-Adaptation Of A Pre-Trained Cascade Of Classifiers, Vidit Jain, Erik G. Learned-Miller

Erik G Learned-Miller

Many classifiers are trained with massive training sets only to be applied at test time on data from a different dis- tribution. How can we rapidly and simply adapt a classifier to a new test distribution, even when we do not have ac- cess to the original training data? We present an on-line approach for rapidly adapting a “black box” classifier to a new test data set without retraining the classifier or ex- amining the original optimization criterion. Assuming the original classifier outputs a continuous number for which a threshold gives the class, we reclassify points near the ori g- …

Asymptotic Preconditioning Of Linear Homogeneous Systems Of Differential Equations, William F. Trench

William F. Trench

No abstract provided.

A Novel Word Spotting Method Based On Recurrent Neural Networks, Volkmar Frinken, Andreas Fischer, R. Manmatha, Horst Bunke

R. Manmatha

Keyword spotting refers to the process of retrieving all instances of a given keyword from a document. In the present paper, a novel keyword spotting method for handwritten documents is described. It is derived from a neural network based system for unconstrained handwriting recognition. As such it performs template-free spotting, i.e. it is not necessary for a keyword to appear in the training set. The keyword spotting is done using a modification of the CTC Token Passing algorithm in conjunction with a recurrent neural network. We demonstrate that the proposed systems outperforms not only a classical dynamic time warping based …

Quantitative Modeling Of The Neural Representation Of Objects: How Semantic Feature Norms Can Account For Fmri Activation, Kai-Min Kevin Chang, Tom Mitchell, Marcel Adam Just

Marcel Adam Just

No abstract provided.

Modifying Fragility And Collective Motion In Polymer Melts With Nanoparticles, Francis W. Starr, Jack F. Douglas

Francis Starr

No abstract provided.