Now showing items 7926-7945 of 17018

    • M-Band Multiwavelet Systems 

      Burrus, C. Sidney; Fernandes, Felix (1999-03-20)
      In this paper we investigate multiwavelet systems whose scaling functions have disjoint support. We demonstrate that, with the exception of a trivial case, this property may not be attained by two band multiwavelet systems. We show that to enjoy this property, it is indeed necessary to invoke <i>M</i>-band multiwavelet systems. This indicates the ...
    • MAC for real-time applications over random-access time-varying channels 

      Sadeghi, Bahareh (2004)
      This thesis introduces mechanisms for support of real-time applications in high-density random-access networks. Random-access Wireless LANs are increasingly being used to support real-time applications such as voice over IP. Providing service to real-time applications requires not only efficient utilization of the scarce physical resource, i.e., ...
    • Machine Learning and Medical Devices: The Next Step for Tissue Engineering 

      Pearce, Hannah A.; Mikos, Antonios G. (2021)
    • Machine Learning of Coarse-Grained Molecular Dynamics Force Fields 

      Wang, Jiang; Olsson, Simon; Wehmeyer, Christoph; Pérez, Adrià; Charron, Nicholas E.; (2019)
      Atomistic or ab initio molecular dynamics simulations are widely used to predict thermodynamics and kinetics and relate them to molecular structure. A common approach to go beyond the time- and length-scales accessible with such computationally expensive simulations is the definition of coarse-grained molecular models. Existing coarse-graining ...
    • Machine Learning-Guided Three-Dimensional Printing of Tissue Engineering Scaffolds 

      Conev, Anja; Litsa, Eleni E.; Perez, Marissa R.; Diba, Mani; Mikos, Antonios G.; (2020)
      Various material compositions have been successfully used in 3D printing with promising applications as scaffolds in tissue engineering. However, identifying suitable printing conditions for new materials requires extensive experimentation in a time and resource-demanding process. This study investigates the use of Machine Learning (ML) for distinguishing ...
    • Machine recognition of occluded two-dimensional objects in clutter 

      Giritlioglu, Bogac (1991)
      This thesis presents a tree search based approach for recognizing occluded 2-D objects in clutter. The planar shapes are represented in terms of their contour line segments. Each is allowed three degrees of freedom (x, y translation and rotation) and a variable scaling factor. It is shown that incorrect pairings of line segments may be eliminated ...
    • Machine-learning approach to the design of OSDAs for zeolite beta 

      Daeyaert, Frits; Ye, Fengdan; Deem, Michael W. (2019)
      We report a machine-learning strategy for design of organic structure directing agents (OSDAs) for zeolite beta. We use machine learning to replace a computationally expensive molecular dynamics evaluation of the stabilization energy of the OSDA inside zeolite beta with a neural network prediction. We train the neural network on 4,781 candidate OSDAs, ...
    • Machinengeist: The spirit of the machine in architecture (1994). (Volumes I and II) 

      Greer, Matthew Preston (1994)
      As technology becomes more prevalent in our society, it becomes more concealed. There is danger when we no longer have the awareness to question the presence of these instruments in our lives or our cities. We are becoming cyborgs, human-like creatures plugged into a technological superorganism. The line between human and machine is becoming blurred ...
    • The Macroeconomic Effects of an Add-on Value Added Tax 

      Carroll, Robert; Cline, Robert; Neubig, Tom; Diamond, John; Zodrow, George (2010)
    • The Macroeconomic Impact of Increasing U.S. LNG Exports 

      Cooper, Adrian; Kleiman, Michael; Livermore, Scott; Medlock, Kenneth B. III (2015)
    • Macromonomers and hydrogels 

      Mikos, Antonios G.; Hacker, Michael C. (2013-01-08)
      Macromonomers capable of both physical crosslinking and chemical crosslinking. The combination of chemical crosslinking and physical crosslinking provides the ability to generate rapidly gelling hydrogels for many different applications. Moreover, the macromonomers may incorporate functional groups that allow for two different gelation mechanisms—thermal ...
    • Macronutrient variability in human milk from donors to a milk bank: Implications for feeding preterm infants 

      John, Ashley; Sun, Ruichen; Maillart, Lisa; Schaefer, Andrew; Spence, Erin Hamilton; (2019)
      Background and objective: The composition of human milk varies widely and impacts the ability to meet nutrient requirements for preterm infants. The purpose of this study is to use a large dataset of milk composition from donors to a milk bank to: (1) describe the macronutrient variability in human milk and how it contributes to the ability to meet ...
    • Macroscopic Ensembles of Aligned Carbon Nanotubes in Bubble Imprints Studied by Polarized Raman Microscopy 

      (2014)
      We study the alignment of single-wall carbon nanotubes (SWCNTs) in bubble imprints through polarized Raman microscopy. A hemispherical bubble containing SWCNTs is pressed against a glass substrate, resulting in an imprint of the bubble membrane with a coffee ring on the substrate. We find that macroscopic ensembles of aligned SWCNTs are obtained in ...
    • Macroscopic ordered assembly of carbon nanotubes 

      Smalley, Richard E.; Colbert, Daniel T.; Smith, Kenneth A.; Walters, Deron A.; Casavant, Michael J.; (2004-09-14)
      The present invention is directed to the creation of macroscopic materials and objects comprising aligned nanotube segments. The invention entails aligning single-wall carbon nanotube (SWNT) segments that are suspended in a fluid medium and then removing the aligned segments from suspension in a way that macroscopic, ordered assemblies of SWNT are ...
    • Macroscopic weavable fibers of carbon nanotubes with giant thermoelectric power factor 

      Komatsu, Natsumi; Ichinose, Yota; Dewey, Oliver S.; Taylor, Lauren W.; Trafford, Mitchell A.; (2021)
      Low-dimensional materials have recently attracted much interest as thermoelectric materials because of their charge carrier confinement leading to thermoelectric performance enhancement. Carbon nanotubes are promising candidates because of their one-dimensionality in addition to their unique advantages such as flexibility and light weight. However, ...
    • Macroscopically manipulable nanoscale devices made from nanotube assemblies 

      Colbert, Daniel T.; Dai, Hongjie; Hafner, Jason H.; Rinzler, Andrew G.; Smalley, Richard E.; (2011-06-14)
      This invention relates generally to cutting single-wall carbon nanotubes (SWNT). In one embodiment, the present invention provides for preparations of homogeneous populations of short carbon nanotube molecules by cutting and annealing (reclosing) the nanotube pieces followed by fractionation. The cutting and annealing processes may be carried out on ...
    • Macroscopically manipulable nanoscale devices made from nanotube assemblies 

      Colbert, Daniel T.; Dai, Hongjie; Hafner, Jason H.; Rinzler, Andrew G.; Smalley, Richard E.; (2006-05-23)
      Macroscopically manipulable nanoscale devices made from nanotube assemblies are disclosed. The article of manufacture comprises a macroscopic mounting element capable of being manipulated or observed in a macroscale environment, and a nanoscale nanotube assembly attached to the mounting element. The article permits macroscale information to be provided ...
    • Maestro: A System for Scalable OpenFlow Control 

      Cai, Zheng; Cox, Alan L.; Ng, T. S. Eugene (2010-12-04)
      The fundamental feature of an OpenFlow network is that the controller is responsible for the initial establishment of every flow by contacting related switches. Thus the performance of the controller could be a bottleneck. This paper shows how this fundamental problem is addressed by parallelism. The state of the art OpenFlow controller, called NOX, ...