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Now showing items 310-329 of 604

Joint Reliability and Energy Management for Real-Time Embedded Systems

Zhao, Baoxian (2012-09-17)

The Dynamic Voltage Scaling (DVS) technique is the basis of numerous state-of-the-art energy management schemes proposed for real-time embedded systems. However, recent research has illustrated the alarmingly negative ...
Joint spatial-temporal spectrum sensing and cooperative relaying for cognitive radio networks

Do, Tuan T (2011-05-25)

The number of wireless systems and services has grown tremendously over the last two decades. As a result, the availability of wireless spectrum has become extremely limited. Cognitive radio is a new technique to overcome ...
KNOWLEDGE DRIVEN DATA COLLECTION USING LINE OF SIGHT EVIDENTIAL REASONING

Steven Darcy (2020)

Data has been defined as low level individual observations and measurements. Related pieces of data can be organized to produce information. Information can be analyzed, understood, and explained to produce knowledge. The ...
Landmine Detection Architectures And Their Implementation on FPGA

Charankar, Nikita (2010-06-08)

The data collected by the NIITEK GPR, high range resolution (HRR) ground-penetrating radar (GPR), results in a digitized raw video representing signals re ected at the surface of as well as internal to the landmine due ...
Landslide Forecasting: Inventory, Susceptibility, and Hazard Analyses

Alimohammadlou, Yashar

The effects of landslides have been exponentially increasing due to the rapid growth of urbanization and global climate change. However, the methods to evaluate the effects of landslides on very large areas (such as an ...
Large Scale Ad Hoc Information Centric Networks in Disrupted Environments

Russell, Katherine (Raven)

Information Centric Disruption Tolerant Networks (ICDTNs) have been forwarded as a new powerful approach to provide effective data and information sharing when existing communication infrastructures are degraded or destroyed. ...
Large v Small Organization Software Development: Are Software Development Best Practices One-Size Fits All?

Longo, Jeffrey

This research examines the differences in the way large and small organizations approach software development to better understanding if small organizations should attempt to model large organizations’ practices. Practices ...
Latent Variable Models of Sequence Data for Classification and Discovery

Blasiak, Samuel J. (2013-08)

The need to operate on sequence data is prevalent across a range of real world applications including protein/DNA classification, speech recognition, intrusion detection, and text classification. Sequence data can be ...
Learn to Synthesize Appearance, Shape and Motion Using Synthetic Data

Liu, Guilin (2017)

A vast amount of 2D images and 3D meshes and points are created every day. Many applications require us to extract more semantic information beyond the original raw discrete representation of pixels, facets and points from ...
Learning in Relational Networks

Saha, Tanwistha (2014)

Classification of nodes in relational networks is an important task because it involves applications in multiple areas that can impact people's lives on a daily basis. The inability to use traditional classification ...
Learning on Large-Scale Data with Security and Privacy

Sahar Sadat Seyed Mazloom (2020)

Recent advancements in machine learning domain have been enabled by the ability to analyze massive volumes of data, and to extract and learn patterns within that data. However, large-scale data collection raises privacy ...
Least Square Estimation of Missing Sensor Data for Oversampled Arrays

Le, Thuykhanh

The problem of recovering samples lost from time series or sensor data is important in signal processing. When the underlying signal is known to be bandlimited, and the sample rate is higher than the Nyquist rate, the ...
Lightweight Authenticated Encryption for FPGAs

Mamidi, Upendarreddy (2016-03-04)

Traditionally, authenticated encryption was achieved by using two seperate algorithms for encryption and authentication. Recently, modes that combine encryption and authentication together are being proposed. This feature ...
Lightweight Implementations and Power Measurements of SHA-3 Candidates on FPGAs

Surapathi, Kishore Kumar (2012-02-23)

The National Institute of Standards and Technology (NIST) has opened a public competition for a new Secure Hash Standard, SHA-3 on Nov 2, 2007. Out of the 64 submissions, 51 were selected for the first round in Dec 2008. ...
Lightweight Implementations of the SHA-3 Finalist Keccak on FPGAs

Gurung, Smriti (2012-07-17)

The Secure Hash Algorithm (SHA) is a cryptographic hash function published by the National Institute of Standard and Technology (NIST) as a U.S Federal Information and Processing Standard (FIPS). In the past few years, ...
Local Minima Hopping along the Protein Energy Surface

Olson, Brian (2012-01-26)

Modeling of protein molecules in silico for the purpose of elucidating the three-dimensional structure where the protein is biologically active employs the knowledge that the protein conformational space has an underlying ...
Location-based Propagation Modeling for Opportunistic Spectrum Access in Wireless Networks

Erpek, Tugba (2007-12-17)

Wireless spectrum has become a scarce resource due to the exponential growth of the number and type of devices that utilize the electromagnetic spectrum. The cost of long term leasing of spectrum has proven to be a major ...
LONGITUDINAL LESION TRACKING IN MAGNETIC RESONANCE IMAGES

Kotari, Vikas (2017)

T2- lesion volume on magnetic resonance images is one of the surrogate markers that is routinely used for monitoring Multiple Sclerosis disease progression. Studies suggest that in addition to T2-lesion volume, individual ...
Machine Learning Automation for Virtual Reality

Murat, Erdem

Virtual Reality (VR) game development techniques are relatively new in relation to conventional 2-dimensional (2D) content. Although there has been significant research conducted in this new field, more work is still ...
Machine Learning for Student Modeling and Forecasting

Qian Hu (2020)

Higher educational institutions face major challenges including timely graduation and retention of enrolled students. The National Center for Education Statistics (NCES) reports that the six-year graduation rate for ...

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