Multiple Content Adaptive Intelligent Watermarking Schemes For The Protection Of Blocks Of A Document Image, 2017 Jawaharlal Nehru National College of Engineering
Multiple Content Adaptive Intelligent Watermarking Schemes For The Protection Of Blocks Of A Document Image, Chetan Kr Mr., S Nirmala Dr.
Journal of Digital Forensics, Security and Law
Most of the documents contain different types of information such as white space, static information and dynamic information or mix of static and dynamic information. In this paper, multiple watermarking schemes are proposed for protection of the information content. The proposed approach comprises of three phases. In Phase-1, the edges of the source document image are extracted and the edge image is decomposed into blocks of uniform size. In Phase-2, GLCM features like energy, homogeneity, contrast and correlation are extracted from each block and the blocks are classified as no-information, static, dynamic and mix of static and dynamic information content ...
Dual Method Headphone Amplifier, 2017 California Polytechnic State University, San Luis Obispo
Dual Method Headphone Amplifier, Timothy P. Murphy, Joseph S. Gross
Many high impedance headphones underperform their full potential when directly connected to the audio source. Amplifiers boost the audio signal and provide the headphones with sufficient power to ensure their maximum performance. The invention of transistors caused vacuum tube implementation to decline, leaving many audiophiles unsatisfied with the transistor’s sound signature. Vacuum tubes and transistors both amplify signals, however the distinct “tube sound” has vanished.
We have designed and created a product where the user selectively switches between solid-state transistor and tube amplification to compare the sound signatures of each amplification method. The ability to switch between the solid-state ...
Semi-Supervised Convolutional Neural Networks For Human Activity Recognition, 2017 Selected Works
Semi-Supervised Convolutional Neural Networks For Human Activity Recognition, Ming Zeng, Tong Yu, Xiao Wang, Le T. Nguyen, Ole J. Mengshoel, Ian Lane
Ole J Mengshoel
An Integrated Multi-Modal Registration Technique For Medical Imaging, 2017 Florida International University
An Integrated Multi-Modal Registration Technique For Medical Imaging, Xue Wang
FIU Electronic Theses and Dissertations
Registration of medical imaging is essential for aligning in time and space different modalities and hence consolidating their strengths for enhanced diagnosis and for the effective planning of treatment or therapeutic interventions. The primary objective of this study is to develop an integrated registration method that is effective for registering both brain and whole-body images. We seek in the proposed method to combine in one setting the excellent registration results that FMRIB Software Library (FSL) produces with brain images and the excellent results of Statistical Parametric Mapping (SPM) when registering whole-body images. To assess attainment of these objectives, the following ...
Realtime Implementation Of An Internal-Model-Principle Signal Identifier, 2017 The University of Western Ontario
Realtime Implementation Of An Internal-Model-Principle Signal Identifier, Edris Saleh Mohsen
Electronic Thesis and Dissertation Repository
This thesis presents a new means approach of tuning an adaptive internal model principle based signal identification algorithm whose computational costs are low enough to allow a realtime implementation. The algorithm allows an instantaneous Fourier decomposition of nonstationary signals that have a strongly predictable component. The algorithm is implemented as a feedback loop resulting in a closed loop system with a frequency response of a bandpass filter with notches at the frequencies of the Fourier decomposition. This is achieved through real time selection of the coefficients of the transfer functions in the feedback loop. Previous work showed how the dynamics ...
Technobiology Paradigm In Nanomedicine: Treating Cancer With Magnetoelectric Nanoparticles, 2017 Florida International University
Technobiology Paradigm In Nanomedicine: Treating Cancer With Magnetoelectric Nanoparticles, Emmanuel Stimphil
FIU Electronic Theses and Dissertations
Today, cancer is the world’s deadliest disease. Despite significant progress to find a cure, especially over the last decade, with immunotherapy rapidly becoming the state of the art, major open questions remain. Each successful therapy is not only limited to a few cancers but also has relatively low specificity to target cancer cells; although cancer cells can indeed be eradicated, many normal cells are sacrificed as collateral damage. To fill this gap, we have developed a class of multiferroic nanostructures known as magnetoelectric nanoparticles (MENs) that can be used to enable externally controlled high-specificity targeted delivery and release of ...
Detecting Structural Defects Using Novel Smart Sensory And Sensor-Less Approaches, 2017 Florida International University
Detecting Structural Defects Using Novel Smart Sensory And Sensor-Less Approaches, Amin Baghalian
FIU Electronic Theses and Dissertations
Monitoring the mechanical integrity of critical structures is extremely important, as mechanical defects can potentially have adverse impacts on their safe operability throughout their service life. Structural defects can be detected by using active structural health monitoring (SHM) approaches, in which a given structure is excited with harmonic mechanical waves generated by actuators. The response of the structure is then collected using sensor(s) and is analyzed for possible defects, with various active SHM approaches available for analyzing the response of a structure to single- or multi-frequency harmonic excitations. In order to identify the appropriate excitation frequency, however, the majority ...
Feasibility Of 802.11a-Based Transceivers For Vhf/Uhf Communications In Remote Regions, Abhimanyu Nath
Graduate Theses & Non-Theses
The project focuses on adapting a traditional IEEE802.11a specification originally designed for indoors, to work across mountainous terrains such as areas of rural Montana in the UHF band. The goal of the project is to experiment with various CSMA/CA timing parameters to accommodate long propagation delays between mountain peaks. The simulation tool was built in C++. When links with various data rates and hidden nodes were introduced during worst case performance analysis, severe packet drops and queue latencies were found in the network statistics. A few timing optimizations were explored and alternatives were considered in the systems design ...
Design Of Dc-Link Vscf Ac Electrical Power System For The Embraer 190/195 Aircraft, 2017 ETEP – Faculdade de Tecnologia de São José dos Campos, Brazil
Design Of Dc-Link Vscf Ac Electrical Power System For The Embraer 190/195 Aircraft, Eduardo Francis Carvalho Freitas, Nihad E. Daidzic
Journal of Aviation Technology and Engineering
A proposed novel DC-Link VSCF AC-DC-AC electrical power system converter for Embraer 190/195 transport category airplane is presented. The proposed converter could replace the existing conventional system based on the CSCF IDGs. Several contemporary production airplanes already have VSCF as a major or backup source of electrical power. Problems existed with the older VSCF systems in the past; however, the switched power electronics and digital controllers have matured and can be now, in our opinion, safely integrated and replace existing constant-speed hydraulic transmissions powering CSCF AC generators. IGBT power transistors for medium-level power conversion and relatively fast efficient switching ...
On Dual-Band Amplifications Using Dual Two-Tones: Clarifications And Discussion, 2017 Portland State University
On Dual-Band Amplifications Using Dual Two-Tones: Clarifications And Discussion, Siyuan Yan, Xianzhen Yang, Xiao Li, Fu Li
Electrical and Computer Engineering Faculty Publications and Presentations
A significant development of recent research in nonlinear distortion is the expansion of the conventional two-tone test for power amplifiers to the concurrent dual-band transmitters, by Amin et al. A general framework using dual two-tones is developed, which shows that the output signal is affected not only by intermodulation (IM) products but also by cross-modulation (CM) products. In this paper, we will make a number of clarifications to Amin et al.'s paper. The effects of IM and CM in passband will be discussed, IM represents a reduction for compressive devices, and CM reflects an interference caused by the signal ...
Design And Validation Of A Low Cost High Speed Atomic Force Microscope, 2017 Minnesota State University, Mankato
Design And Validation Of A Low Cost High Speed Atomic Force Microscope, Michael Ganzer, Tien Pham
Journal of Undergraduate Research at Minnesota State University, Mankato
The Atomic Force Microscope (AFM) is an important instrument in nanoscale topography, but it is expensive and slow. The authors designed an AFM to overcome both limitations. To do this, they used an Optical Pickup Unit (OPU) from a DVD player as the laser and photodetector system to minimize cost and they did not implement a vertical control loop, which maximized potential speed. Students will be able to be use this device to make nanoscale measurements and engage in micro-engineering. To prototype this idea, the authors tested an OPU with a silicon wafer and demonstrated the ability to consistently distinguish ...
Algorithm For Damage Detection In Wind Turbine Blades Using A Hybrid Dense Sensor Network With Feature Level Data Fusion, Austin Downey, Filippo Ubertini, Simon Laflamme
Civil, Construction and Environmental Engineering Publications
Damage detection in wind turbine blades requires the ability to distinguish local faults over a global area. The implementation of dense sensor networks provides a solution to this local-global monitoring challenge. Here the authors propose a hybrid dense sensor network consisting of capacitive-based thin-film sensors for monitoring the additive strain over large areas and fiber Bragg grating sensors for enforcing boundary conditions. This hybrid dense sensor network is leveraged to derive a data-driven damage detection and localization method for wind turbine blades. In the proposed method, the blade's complex geometry is divided into less geometrically complex sections. Orthogonal strain ...
Separation Of Vocal And Non-Vocal Components From Audio Clip Using Correlated Repeated Mask (Crm), 2017 University of New Orleans
Separation Of Vocal And Non-Vocal Components From Audio Clip Using Correlated Repeated Mask (Crm), Mohan Kumar Kanuri
University of New Orleans Theses and Dissertations
Extraction of singing voice from music is one of the ongoing research topics in the field of speech recognition and audio analysis. In particular, this topic finds many applications in the music field, such as in determining music structure, lyrics recognition, and singer recognition. Although many studies have been conducted for the separation of voice from the background, there has been less study on singing voice in particular.
In this study, efforts were made to design a new methodology to improve the separation of vocal and non-vocal components in audio clips using REPET . In the newly designed method, we ...
Distributed Emitter Detector Design Under Imperfect Communication Channel, 2017 University of New Orleans
Distributed Emitter Detector Design Under Imperfect Communication Channel, Soumyadip Patra
University of New Orleans Theses and Dissertations
We consider the distributed detection of an emitter using multiple sensors deployed at deterministic locations. The signal from the emitter follows a signal attenuation model dependent on the distance between the sensor and the emitter. The sensors transmit their decisions to the fusion center through a parallel access Binary Symmetric Channel (BSC) with a cross-over probability. We seek to optimize the detection performance under a prescribed false alarm at the sensor level and at the system level. We consider the triangular topology structure and using the least favorable emitter range study the impact of the BSC on the system level ...
Gui For Mri-Compatible Neural Stimulator And Recorder, 2017 Purdue University
Gui For Mri-Compatible Neural Stimulator And Recorder, Soo Han Soon, Nishant Babaria, Ranajay Mandal, Zhongming Liu
The Summer Undergraduate Research Fellowship (SURF) Symposium
Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) are useful tools to analyze brain activities given active stimulation. However, the electromagnetic noise from the MRI distorts the brain signal recording and damages the subject with excessive heat generated on the electrodes attached to the skin. MRI-compatible recording and stimulation systems previously developed at LIBI lab were capable of removing the electromagnetic noise during the imaging process. Previously, the hardware systems had required the integrative software that could control both circuits simultaneously and enable users to easily change recording and stimulation parameters. Graphical user interface (GUI) programmed with computer language informed ...
Wide-Area Measurement-Driven Approaches For Power System Modeling And Analytics, 2017 University of Tennessee, Knoxville
Wide-Area Measurement-Driven Approaches For Power System Modeling And Analytics, Hesen Liu
This dissertation presents wide-area measurement-driven approaches for power system modeling and analytics. Accurate power system dynamic models are the very basis of power system analysis, control, and operation. Meanwhile, phasor measurement data provide first-hand knowledge of power system dynamic behaviors. The idea of building out innovative applications with synchrophasor data is promising.
Taking advantage of the real-time wide-area measurements, one of phasor measurements’ novel applications is to develop a synchrophasor-based auto-regressive with exogenous inputs (ARX) model that can be updated online to estimate or predict system dynamic responses.
Furthermore, since auto-regressive models are in a big family, the ARX model ...
Feasibility Of Melville Marginalia Authorship Differentiation, 2017 Boise State University
Feasibility Of Melville Marginalia Authorship Differentiation, Aaron Burdin
Boise State University Theses and Dissertations
We examine the feasibility of using image processing techniques to determine differentiation in authorship of historical pencil marks. Pencil marks with unattributed and attributed authorship are segmented from digital images of historical books. Analysis is performed on five features that are extracted from the "vertical" pencil marks, with those features used as a basis for authorship of marks. These marks consist of single stroke marks that are interspersed in the same document. We describe the challenges of the digital format that we were given and the steps taken in using autonomous segmentation to save pixel locations of marks. Five mark ...
Two Senior Projects: 2.4 Ghz, 40% Efficiency Radio Frequency Amplifier, Ieee Design Contest, & Design And Implementation Of A Software Costas Loop For Audio Frequencies, 2017 California Polytechnic State University, San Luis Obispo
Two Senior Projects: 2.4 Ghz, 40% Efficiency Radio Frequency Amplifier, Ieee Design Contest, & Design And Implementation Of A Software Costas Loop For Audio Frequencies, Robert J. Tong
How to Read this Document:
This document combines two senior project reports. The first senior project documents designing a class AB RF amplifier. The second, discusses the design and implementation of a software Costas loop for audio frequencies. The first report begins on the next page, while the Costas loop report starts on page 24. The two reports are orthogonal from one another. It is not a prerequisite to read the RF amplifier report before reading the Costas loop report. This document is merely two reports combined into one document. The second report, about the Costas loop, was written as ...
Application-Aware Cognitive Multi-Hop Wireless Networking Testbed And Experiments, 2017 University of Nebraska-Lincoln
Application-Aware Cognitive Multi-Hop Wireless Networking Testbed And Experiments, Trenton T. Evans
Theses, Dissertations, and Student Research from Electrical & Computer Engineering
In this thesis, we present a new architecture for application-aware cognitive multihop wireless networks (AC-MWN) with testbed implementations and experiments. Cognitive radio is a technique to adaptively use the spectrum so that the resource can be used more efficiently in a low cost way. Multihop wireless networks can be deployed quickly and flexibly without a fixed infrastructure. In presented new architecture, we study backbone routing schemes with network cognition, routing scheme with network coding and spectrum adaptation. A testbed is implemented to test the schemes for AC-MWN. In addition to basic measurements, we implement a video streaming application based on ...
Projected Nesterov’S Proximal-Gradient Algorithm For Sparse Signal Recovery, 2017 Iowa State University
Projected Nesterov’S Proximal-Gradient Algorithm For Sparse Signal Recovery, Renliang Gu, Aleksandar Dogandzic
Electrical and Computer Engineering Publications
We develop a projected Nesterov's proximal-gradient (PNPG) approach for sparse signal reconstruction that combines adaptive step size with Nesterov's momentum acceleration. The objective function that we wish to minimize is the sum of a convex differentiable data-fidelity (negative log-likelihood (NLL)) term and a convex regularization term. We apply sparse signal regularization where the signal belongs to a closed convex set within the closure of the domain of the NLL; the convex-set constraint facilitates flexible NLL domains and accurate signal recovery. Signal sparsity is imposed using the ℓ1 -norm penalty on the signal's linear transform coefficients. The ...