Browsing Academic Schools and Programs by Title
Now showing items 1-20 of 165
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A Bayesian Latent Variable Approach to Aggregation of Partial and Top-Ranked Lists in Genomic Studies
In genomic research, it is becoming increasingly popular to perform meta-analysis, the practice of combining results from multiple studies that target a common essential biological problem. Rank aggregation, a robust ... -
A Comparison of Stealthy Sensor Attacks on Control Systems
As more attention is paid to security in the context of control systems and as attacks occur to real control systems throughout the world, it has become clear that some of the most nefarious attacks are those that evade ... -
A Complex Task Scheduling Scheme for Big Data Platforms Based on Boolean Satisfiability Problem
In the big data processing systems, the amount of data is increasing. At the same time, the real-time requirement of data processing and analysis is higher and higher. Therefore, it is required that the big data processing ... -
A Computationally Efficient Pipeline for 3d Point Cloud Reconstruction from Video Sequences
This paper presents a computationally efficient pipeline to achieve 3D point cloud reconstruction from video sequences. This pipeline involves a key frame selection step to improve the computational efficiency by generating ... -
A Convolutional Neural Network-Based Sensor Fusion System for Monitoring Transition Movements in Healthcare Applications
This paper presents a convolutional neural network-based sensor fusion system to monitor six transition movements as well as falls in healthcare applications by simultaneously using a depth camera and a wearable inertial ... -
A Decision-Making Auction Algorithm for Demand Response in Microgrids
Distributed energy resources installed in the residential areas enable energy consumers to participate in the demand response of distribution systems. In the literature, the algorithms used for the decision-making process ... -
A Fast Phase Variable abc Model of Brushless PM Motors under Demagnetization Faults
This paper addresses a simple and computationally efficient dynamic model for brushless permanent magnet (PM) motors under PM demagnetization faults. The impact of stator slots and spatial disposition of the windings are ... -
A General Graph Based Pessimism Reduction Framework For Design Optimization Of Timing Closure
In this paper, we develop a general pessimism reduction framework for design optimization of timing closure. Although the modified graph based timing analysis (mGBA) slack model can be readily formulated into a quadratic ... -
A Joint Unsupervised Learning and Genetic Algorithm Approach for Topology Control in Energy-Efficient Ultra-Dense Wireless Sensor Networks
Energy efficiency is a key performance metric for ultra-dense wireless sensor networks. In this letter, an unsupervised learning approach for topology control is proposed to prolong the lifetime of ultra-dense wireless ... -
A Machine Learning Based Hard Fault Recuperation Model for Approximate Hardware Accelerators
Continuous pursuit of higher performance and energy efficiency has led to heterogeneous SoC that contains multiple dedicated hardware accelerators. These accelerators exploit the inherent parallelism of tasks and are often ... -
A Multilevel Computational Characterization of Endophenotypes in Addiction
Addiction is characterized by a profound intersubject (phenotypic) variability in the expression of addictive symptomatology and propensity to relapse following treatment. However, laboratory investigations have primarily ... -
A New LMS Algorithm Based Dead-Time Compensation Method for PMSM FOC Drives
This paper presents a new least-mean-square (LMS) algorithm based dead-time compensation method to suppress the current distortion in permanent-magnet synchronous motor (PMSM) field-oriented control (FOC) drives. Compared ... -
A Resilient Agent-Based Re-Organizing Traffic Network for Urban Evacuations
Implementing effective traffic road reversals is a complex problem: it requires clearing roads from traffic before implementing safe road reversal operations and often results in anomalies in the network topology. Road ... -
A Shortest-Path Algorithm for the Departure Time and Speed Optimization Problem
We present a shortest-path algorithm for the departure time and speed optimization problem under traffic congestion. The objective of the problem is to determine an optimal schedule for a vehicle visiting a fixed sequence ... -
A Spatial-Filtering Zero-Inflated Approach to the Estimation of the Gravity Model of Trade
Nonlinear estimation of the gravity model with Poisson-type regression methods has become popular for modelling international trade flows, because it permits a better accounting for zero flows and extreme values in the ... -
Accelerating Chemical Exchange Saturation Transfer MRI with Parallel Blind Compressed Sensing
Purpose: Chemical exchange saturation transfer is a novel and promising MRI contrast method, but it can be time-consuming. Common parallel imaging methods, like SENSE, can lead to reduced quality of CEST. Here, parallel ... -
Acute and Chronic Toxicity of Metal Oxide Nanoparticles in Chemical Mechanical Planarization Slurries with Daphnia Magna
The semiconductor manufacturing industry uses metal oxide nanoparticles (NPs), including colloidal silica (c-SiO₂), fumed silica (f-SiO₂), ceria (CeO₂), and alumina (Al₂O₃), as abrasives in chemical mechanical planarization ... -
ADMM for Joint Data and Off-Grid NBI Recovery in OFDM Systems
Joint data and off-grid narrow-band interference (NBI) recovery is investigated in orthogonal-frequency-division-multiplexing (OFDM) systems using compressive-sensing (CS) framework. The joint recovery problem is formulated ... -
Adolescents Show Differential Dysfunctions Related to Alcohol and Cannabis Use Disorder Severity in Emotion and Executive Attention Neuro-Circuitries
Alcohol and cannabis are two substances that are commonly abused by adolescents in the United States and which, when abused, are associated with negative medical and psychiatric outcomes across the lifespan. These negative ... -
Adversarial Anomaly Detection Using Centroid-Based Clustering
As cyber attacks are growing with an unprecedented rate in the recent years, organizations are seeking an efficient and scalable solution towards a holistic protection system. As the adversaries are becoming more skilled ...