Browsing Academic Schools and Programs by Title
Now showing items 1-20 of 453
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15.6 A 10MHz i-Collapse Failure Self-Prognostic GaN Power Converter with TJ -Independent In-Situ Condition Monitoring and Proactive Temperature Frequency Scaling
With superior figure of merits, GaN switchs are highly anticipated to replace MOSFETs in high-performance power circuits [1], [2]. However, GaN technology today still faces formidable reliability challenges [3]. While GaN ... -
15.7 An 8.3MHz GaN Power Converter Using Markov Continuous RSSM for 35dBμV Conducted EMI Attenuation and One-Cycle TON Rebalancing for 27.6dB VO Jittering Suppression
GaN power switches have gained fast-growing popularity in power electronics. With a similar R DS_ON resistance, they boast 2-to-3-order lower gate capacitance than silicon counterparts, making them highly desirable in ... -
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 Coil Detection System for Dynamic Wireless Charging of Electric Vehicle
Application of wireless power transfer while EV is in motion can significantly reduce the battery storage capacity. A major challenge in implementation of dynamic wireless power transfer (DWPT) is automatic detection of ... -
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 Fermi-Level-Pinning-Free 1D Electrical Contact at the Intrinsic 2D MoS₂–Metal Junction
(Wiley-VCH Verlag, 2019-05-08)Currently 2D crystals are being studied intensively for use in future nanoelectronics, as conventional semiconductor devices face challenges in high power consumption and short channel effects when scaled to the quantum ... -
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 Human-As-Sensors Approach to API Documentation Integration and its Effects on Novice Programmers
In recent years, there has been a great interest in integrating crowdsourced API documents that are often dispersed across multiple places. Because of the complexity of natural language, however, automatically synthesized ... -
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 Mean-Variance Approach to Capital Investment Optimization
We develop an improved model of capital investment under uncertainty that incorporates the variance of the capital stock in the payoff functional to manage risk. Our model results in a mean field type control problem that ... -
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 Multiscale Direct Solver for the Approximation of Flows in High Contrast Porous Media
We consider a non-overlapping domain decomposition approach to approximate the solution of elliptic boundary value problems with high contrast in their coefficients. We propose a method such that initially local solutions ... -
A Multiscale Model to Study the Enhancement in the Compressive Strength of Multi-Walled CNT Sheet Overwrapped Carbon Fiber Composites
The high tensile strength of polymer matrix composites is derived primarily from the high strength of the carbon fibers embedded in the polymer matrix. However, their compressive strength is generally much lower due to the ... -
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 ...