Now showing items 521-540 of 3761

    • Bacteria as Bio-Template for 3D Carbon Nanotube Architectures 

      Ozden, Sehmus; Macwan, Isaac G.; Owuor, Peter S.; Kosolwattana, Suppanat; Autreto, Pedro A.S.; Silwal, Sushila; Vajtai, Robert; Tiwary, Chandra S.; Mohite, Aditya D.; Patra, Prabir K.; Ajayan, Pulickel M. (2017)
      It is one of the most important needs to develop renewable, scalable and multifunctional methods for the fabrication of 3D carbon architectures. Even though a lot of methods have been developed to create porous and ...
    • Balancing Fairness and Efficiency in Tiered Storage Systems using Bottleneck-Aware Allocation 

      Varman, Peter J.; Wang, Hui (2014-02)
      Multi-tiered storage made up of heterogeneous devices are raising new challenges in allocating throughput fairly among concurrent clients. The fundamental problem is finding an appropriate balance between fairness to the ...
    • Balancing Neumann-Neumann Methods for Elliptic Optimal Control Problems 

      Heinkenschloss, Matthias; Nguyen, Hoang (2003-12)
      We present Neumann-Neumann domain decomposition (DD) preconditioners for the solution of elliptic linear quadratic optimal control problems. The preconditioner is applied to the optimality system. A Schur complement ...
    • Balancing strength and toughness of calcium-silicate-hydrate via random nanovoids and particle inclusions: Atomistic modeling and statistical analysis 

      Zhang, Ning; Shahsavari, Rouzbeh (2016)
      As the most widely used manufactured material on Earth, concrete poses serious societal and environmental concerns which call for innovative strategies to develop greener concrete with improved strength and toughness, ...
    • A Bandwidth-Efficient Architecture for Media Processing 

      Rixner, Scott; Dally, William J.; Kapasi, Ujval J.; Khailany, Brucek; Lopez-Lagunas, Abelardo; Mattson, Peter; Owens, John D. (1998-11-20)
      Media applications are characterized by large amounts of available parallelism, little data reuse, and a high computation to memory access ratio. While these characteristics are poorly matched to conventional microprocessor ...
    • Baseband Architecture Design for Future Wireless Base-Station Receivers 

      Rajagopal, Sridhar (2000-05-20)
      This thesis demonstrates designing efficient algorithms and architectures to meet the real-time requirements of future wireless base-station receivers. Next generation receivers require orders-of-magnitude performance ...
    • Baseband architecture design for future wireless base-station receivers 

      Rajagopal, Sridhar (2000)
      This thesis demonstrates the use of designing efficient algorithms and architectures to meet the real-time requirements of future wireless base-station receivers. Next generation receivers will require orders-of-magnitude ...
    • Baseband Signal Compression in Wireless Base Stations 

      Vosoughi, Aida; Wu, Michael; Cavallaro, Joseph R. (2012-12-01)
      To comply with the evolving wireless standards, base stations must provide greater data rates over the serial data link between base station processor and RF unit. This link is especially important in distributed antenna ...
    • Basics of information processing 

      Johnson, Don (2002-01-20)
      Basic probability theory, statistical signal processing and information theory, and inter-relationships among these disciplines form the foundations of a theory of information processing. Examples are drawn from point-process ...
    • BayesBD: An R Package for Bayesian Inference on Image Boundaries 

      Syring, Nicholas; Li, Meng (2017)
      We present the BayesBD package providing Bayesian inference for boundaries of noisy images. The BayesBD package implements flexible Gaussian process priors indexed by the circle to recover the boundary in a binary or ...
    • Bayesian Blind PARAFAC Recievers forDS-CDMA Systems 

      de Baynast, Alexandre; Declercq, David; De Lathauwer, Lieven; Aazhang, Behnaam (2003-10-01)
      In this paper an original Bayesian approach for blind detec-tion for Code Division Multiple Access (CDMA) Systems in presence of spatial diversity at the receiver is developed. In the noiseless context, the blind ...
    • Bayesian Graphical Network Analyses Reveal Complex Biological Interactions Specific to Alzheimer's Disease 

      Rembach, Alan; Stingo, Francesco C.; Peterson, Christine; Vannucci, Marina; Do, Kim-Anh; Wilson, William J.; Macaulay, S. Lance; Ryan, Timothy M.; Martins, Ralph N.; Ames, David; Masters, Colin L.; Doecke, James D.; The AIBL Research Group (2015)
      With different approaches to finding prognostic or diagnostic biomarkers for Alzheimer's disease (AD), many studies pursue only brief lists of biomarkers or disease specific pathways, potentially dismissing information ...
    • A Bayesian hierarchical model for maximizing the vascular adhesion of nanoparticles 

      Fronczyk, Kassandra; Guindani, Michele; Vannucci, Marina; Palange, Annalisa; Decuzzi, Paolo (2014)
      The complex vascular dynamics and wall deposition of systemically injected nanoparticles is regulated by their geometrical properties (size, shape) and biophysical parameters (ligand–receptor bond type and surface density, ...
    • Bayesian Inference of Multiple Gaussian Graphical Models 

      Peterson, Christine B.; Stingo, Francesco C.; Vannucci, Marina (2015)
      In this article, we propose a Bayesian approach to inference on multiple Gaussian graphical models. Specifically, we address the problem of inferring multiple undirected networks in situations where some of the networks ...
    • Bayesian Inference of Reticulate Phylogenies under the Multispecies Network Coalescent 

      Wen, Dingqiao; Yu, Yun; Nakhleh, Luay (2016)
      The multispecies coalescent (MSC) is a statistical framework that models how gene genealogies grow within the branches of a species tree. The field of computational phylogenetics has witnessed an explosion in the development ...
    • A Bayesian Integrative Model for Genetical Genomics with Spatially Informed Variable Selection 

      Cassese, Alberto; Guindani, Michele; Vannucci, Marina (2014)
      We consider a Bayesian hierarchical model for the integration of gene expression levels with comparative genomic hybridization (CGH) array measurements collected on the same subjects. The approach defines a measurement ...
    • Bayesian Methods for Learning Analytics 

      Waters, Andrew (2014-06-30)
      Learning Analytics (LA) is a broad umbrella term used to describe statistical models and algorithms for understanding the relationship be- tween a set of learners and a set of questions. The end goal of LA is to understand ...
    • A Bayesian model for the identification of differentially expressed genes in Daphnia magna exposed to munition pollutants 

      Cassese, Alberto; Guindani, Michele; Antczak, Philipp; Falciani, Francesco; Vannucci, Marina (2015)
      In this article we propose a Bayesian hierarchical model for the identification of differentially expressed genes in Daphnia magna organisms exposed to chemical compounds, specifically munition pollutants in water. The ...
    • Bayesian Model of Protein Primary Sequence for Secondary Structure Prediction 

      Li, Qiwei; Dahl, David B.; Vannucci, Marina; Joo, Hyun; Tsai, Jerry W. (2014)
      Determining the primary structure (i.e., amino acid sequence) of a protein has become cheaper, faster, and more accurate. Higher order protein structure provides insight into a protein's function in the cell. Understanding ...
    • Bayesian models for functional magnetic resonance imaging data analysis 

      Zhang, Linlin; Guindani, Michele; Vannucci, Marina (2015)
      Functional magnetic resonance imaging (fMRI), a noninvasive neuroimaging method that provides an indirect measure of neuronal activity by detecting blood flow changes, has experienced an explosive growth in the past years. ...