Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 333 for “"NN"”.
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Thotti Mane - Nn Indian Courtyard House in Blacksburg
Having grown up in a India, the importance of the courtyard was imbedded in the very essence of the understanding the architecture of a house.The project started of with the intention of designing a courtyard house, and eventually evolved to a house based on the principles of Indian building norms …
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Characterizing Mechanical and Gas Transport Properties of Nitrile Norbornene (NN) ROMP in Preparation for Analysis of OMe-NN-ROMP Block Copolymers
This study characterized the mechanical and gas transport properties of nitrile norbornene ROMP. At a concentration of 0.15 M, the nitrile norbornene was able to successfully ROMP without becoming gel-like allowing for further characterization. The number average molecular weight was found to be …
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Mixed-precision NN accelerator with neural-hardware architecture search
… and acceleration for deep neural networks (DNNs). The design space and its exploration methodology impact efficiency and productivity. However, both architecture designs are challenging. We first propose a mixed-precision accelerator, a highly parameterized architecture that can adapt to …
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Incoherent Photoproduction of $\phi$ Mesons in Ultra-Peripheral Pb+Pb Collisions at $\sqrt{s_{NN}}$ = 5.02 TeV
… of $\phi$ meson in the $K^+ K^-$ decay channel in Pb+Pb collisions at an energy of 5.02 TeV per nucleon. We observed 23$\pm$5 $\phi$ meson candidates in the mass range 1.015 to 1.2 GeV/$c^2$. Efficiency correction was done with the STARLIGHT Monte Carlo. The efficiency-corrected mass …
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A comparison of NN-DMT, changa & 5-MeO-DMT and the near-death experience: qualitative analyses and reviews of the neuroscience
A complete explanation of the near-death experience (NDE) has still not been developed. However, the elevating effects on entropy and thus on richness of experience by psychedelics implies their possible endogenous function in the, otherwise ‘paradoxical’, recovery of consciousness near death. …
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Time-efficient offloading and execution of machine learning tasks between embedded systems and fog nodes
… One such technology is the Neural Network (NN). NN's, combined with the Internet of Things (IoT), can utilize the massive amounts of data produced to optimize, control, and automate embedded systems, giving them more functionality than ever before. However, the status quo of offloading all …
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A Direct Algorithm for the K-Nearest-Neighbor Classifier via Local Warping of the Distance Metric
The k-nearest neighbor (k-NN) pattern classifier is a simple yet effective learner. However, it has a few drawbacks, one of which is the large model size. There are a number of algorithms that are able to condense the model size of the k-NN classifier at the expense of accuracy. Boosting is …
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Predicting hybrid vehicle fuel economy and emissions with neural network models trained with real world data
… and testing a time series neural network (NN) model using real world, on-road data. This enables NN models to model many aspects of on-road vehicle dynamics, like regular traffic stops, turning, and irregular accelerations and stops. Unlike the physics-based models, NNs have the advantage …
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Spectral points of the hypernuclear systems AAn and Ann
Three-body hypernuclear nn and n systems are studied within the hyperspherical approach framework with local two-body S-wave potentials describing the nn, n and interactions using the Jost functions method. The bound states for these three-body systems nn and n were sought as zeros of the …
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Development of direct torque control with neural network for speed change in 3-phase induction motor
… the outcome for the module designed. The NN controller have to be designed and tuned properly. This project focus on the simulation of modelling the three-phase induction motor, implementing the neural network control and comparing the proposed model to the conventional DTC. This …
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Modulation classification of digital communication signals
… (DT) approach and a neural network (NN) approach. First classifiers are introduced that can classify ASK, PSK, and FSK signals. A decision tree is designed for the DT approach and a NN structure is formulated und trained to classify these signals. Both classifiers use the same key …
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Chemical Modification on Gold Slides to Gain Better Control of Patterning Techniques
… of 49 n Potassium sulphate took a force of 45 nN Magnesium sulphate took a force of 744.4 nN</p> <p> The group of sodium and potassium halides were determined the minimum patterning forces as indicated. Sodium fluoride took a force of 8.42 nN Sodium chloride and potassium chloride took a force …
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Study of pion production from the two-nucleon system within a relativistic unitary model
In this work, we explore the NN → πNN reaction within a relativistic model, consistent with two- and three-body unitarity, for the NN and πNN coupled systems. The model is based on effective hadronic interactions. After describing the theoretical input, we compare the predicted NN phase parameters …
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An improved multilayer perceptron based on wavelet approach for physical time series prediction
… vary periodically. Meanwhile, Neural Networks (NN) has been successfully applied in many problems in the domain of time series prediction. The standard NN adopts computationally intensive training algorithms and can easily get trapped into local minima. To overcome such drawbacks in ordinary NN, …
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All- trans-retinol modulation of chemically-induced pulmonary and hepatic toxicity
… retinol animals were given 1-nitronaphthalene (1-NN), 2-nitronaphthalene (2-NN), or paraquat (PQ). Pulmonary and hepatic toxicity was evaluated clinically, biochemically, and morphologically. The hepatotoxicity of both 1-NN and 2-NN was significantly potentiated by retinol pretreatment. The …
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Measurement of the Neutron-Neutron Quasifree Scattering Cross Section in Neutron-Deuteron Breakup at 10.0 and 15.6 MeV
<p>Neutron-neutron (nn) quasifree scattering (QFS) in neutron-deuteron (nd) breakup is the kinematic configuration in which the proton remains at rest in the laboratory frame. The cross section for this process is sensitive to the 1S0 component of the nn interaction. Recent measurements of the …
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Complex Vehicle Modeling: A Data Driven Approach
… thesis proposes an artificial neural network (NN) model to predict fuel consumption in heavy vehicles. The model uses predictors derived from vehicle speed, mass, and road grade. These variables are readily available from telematics devices that are becoming an integral part of connected …
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Active Suppression ofAerofoil Flutter via Neural-Network-Based Adaptive Nonlinear Optimal Control
… nonlinear optimal control using neural networks (NNs). Aeroelastic flutter can damage aerofoils if not properly controlled. AFS not only ensures flutter-free flight but also enables the use of aerodynamically more efficient lightweight aerofoils. However, existing optimal controllers for AFS are …
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Fault Tolerant Flight Control: An Application of the Fully Connected Cascade Neural Network
… developed using the artificial neural network (ANN). A number of techniques can be found in the literature that address FDIA in aircraft systems. These techniques are, for example, Kalman filters, fuzzy logic and ANN. This research uses the fully connected cascade (FCC) neural network (NN) for …
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Oxidative Addition As A New Route To Organometallic Polymers And Dendrimers
… The new complexes {dollar}lbrackrm PtMesb2(NN)rbrack{dollar} 1, (1b: (NN) = 4,4{dollar}spprime{dollar}-di-tert-butyl-2,2{dollar}spprime{dollar}-bipyridine; 1c: (NN) = 4,4{dollar}spprime{dollar}-dimethyl-2,2{dollar}spprime{dollar}-bipyridine; 1d: (NN) = …
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