RSS 1.0Electronic Dissertations and Theses - Electrical Engineering and Computer Science
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Towards Energy Efficient And Reliable 3D Manycore Chip Enabled By Machine Learning
(2018)As the demand for high performance and energy efficient computation has increased significantly, manycore chip architectures have emerged as a mainstream solution paradigm. A three-dimensional Network-on-Chip (3D NoC) that ... -
NETWORK-ON-CHIP ENABLED MANYCORE ARCHITECTURES FOR CYBER-PHYSICAL SYSTEM
(2018)Predicting and controlling is the long-cherished goal of human. Among the various framework of prediction and control, the Cyber-Physical System (CPS) is a promising approach and grows fast in both academic and industry ... -
MACHINE LEARNING-INSPIRED HIGH-PERFORMANCE AND ENERGY-EFFICIENT HETEROGENEOUS MANYCORE CHIP DESIGN
(2018)CPU-GPU based heterogeneous manycore architecture is expected to be the dominant computing platform for many emerging application domains including artificial intelligence, bio-computing and big data analytics. This ... -
Local Area Influence Detectors for Turbo Equalization of Two Dimensional Magnetic Recording
(2018)Two-dimensional magnetic recording (TDMR) is a new technology to increase the areal density of magnetic recording systems with conventional magnetic disks. We incorporate signal processing and machine learning techniques ... -
Efficient Machine Learning Algorithms for Automatic Reconfiguration of Mobile Health Monitoring Systems
(2018)Mobile health monitoring plays a central role in a variety of healthcare applications. Due to the sensitive nature of healthcare applications, these systems need to process these personal and physiological informations ... -
HIGHLY EFFICIENT AND LINEAR RECONFIGURABLE MM-WAVE CMOS POWER AMPLIFIERS FOR 5G MOBILE COMMUNICATIONS
(2018)With the race to next-generation millimeter-wave (mm-wave) fifth-generation (5G) wireless technology, implementation of highly power-efficient transceivers has become an important research topic. Particularly, the design ... -
OPTIMALITY STUDY OF DYNAMIC VOLTAGE/FREQUENCY SCALING IN FINE- TO COARSE-GRAIN ISLAND PARTITIONING FOR MULTICORE SYSTEMS
(2018)High performance computing centers need to keep up with the growing applications of varying computational characteristics. Due to their high computation rates, these computing systems consume vast amounts of energy with ... -
Enhanced protection and control strategies for improving power system transient stability
(2018)Due to the expensive cost of expanding transmission lines, power systems are operated closer to their stability margins. Consequently, stability becomes a challenging problem in the operation of power systems. Interconnected ... -
REAL-TIME DETECTION OF MULTI-SCALE CHANGES IN SMART HOMES
(2018)Change Point Detection (CPD) is the problem of discovering time points at which the behavior of a time series changes abruptly. Such abrupt changes may represent transitions that occur between states. Tracking these changes ... -
SPECIFICATIONLESS INTRUSTION DETECTION USING THERMODYNAMIC FORMALISM OF FREE ENERGY
(2018)This dissertation serves as a sort of historical road map on my journey to help secure not just computers, but the networks that connect them, and their sometimes critical mission, and the people that depend upon them. We ... -
Bipartite Network Community Detection: Algorithms and Applications
(2018)Methods to efficiently uncover and extract community structures are required in a vast number of applications where networked data and their interactions can be modeled as graphs, and observing tightly-knit groups of vertices ... -
DYNAMIC ADAPTATION OF RECOGNITION ALGORITHMS ON WEARABLES WITH MINIMAL HUMAN SUPERVISION
(2018)Wearable sensors utilize machine learning algorithms to infer important events such as behavioral routine and health status of their end-users from time-series sensor data. A major obstacle in the large-scale utilization ... -
Learning from Human Teachers: Supporting How People Want to Teach in Interactive Machine Learning
(2018)As the number of deployed robots grows, there will be an increasing need for humans to teach robots new skills that were not pre-programmed, without requiring these users to have any experience with programming or artificial ... -
TINGLE - TOPIC-INDEPENDENT GAMIFICATION LEARNING ENVIRONMENT
(2018)Motivating student commitment and engagement in learning, using gamification, or games embedded in non-game settings, has been sought after by game researchers, game designers, academic content developers, and teachers ... -
Link Weight Prediction with Deep Learning
(2018)Deep learning has been successful in various domains including image recognition, speech recognition and natural language processing. However, the research on its application in graph mining is still in an early ... -
The Science of Home Automation
(2017)Smart home technologies and the concept of home automation have become more popular in recent years. This popularity has been accompanied by social acceptance of passive sensors installed throughout the home. The subsequent ... -
Scalable Parallel Algorithms and Implementations for Large-scale Graph Analyses
(2017)Scientific fields nowadays have adopted graph analytics into their discovery process. Different graphs have been generated from many different applied domains, such as social sciences, life sciences and business. Many of ... -
Issues on cooperative control of multi-agent systems
(2017)This thesis studies cooperative control for a multi-agent system (MAS). That is, via decentralized protocols, agents in a MAS can achieve synchronization, consensus, or formation. Both homogeneous and heterogeneous MAS are ... -
COLLECTIVE COMMUNICATION-AWARE HIGH PERFORMANCE NETWORK-ON-CHIP ARCHITECTURES FOR BIG DATA PROCESSING
(2017)In an era when power constraints and data movement are proving to be significant barriers for high-end computing, manycore architectures offer a low power and highly scalable platform suitable for both data- and compute-intensive ... -
ON-LINE PARAMETER IDENTIFICATION OF DOUBLY-FED INDUCTION GENERATORS FROM MEASUREMENT DATA
(2017)Doubly-Fed Induction Generators (DFIG) are widely used nowadays for renewable energy generation. Control techniques need to be developed to match the growing DFIG wind turbine sizes and capacity. This requires better ...