Erik Jonsson School of Engineering and Computer Science
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Semantically Enhanced Time Series Databases in IoT-Edge-Cloud Infrastructure
Many IoT systems are data intensive and are for the purpose of monitoring for fault detection and diagnosis of critical systems. A large volume of data steadily come out of a large number of sensors in the monitoring system. ... -
Gilbreth 2.0: An Industrial Cloud Robotics Pick-and-Sort Application
In prior work, we proposed an autonomous object pickand-sort procedure for an industrial robotics application called Gilbreth. In this work, we developed improvements to two critical components of this application: object ... -
A Self-Adaptive Collaborative Multi-Agent Based Traffic Signal Timing System
In this paper, we present DALI, a self-Adaptive, collaborative multi-Agent Traffic Signal Timing system (TST). Intersection controller agents collaborate with one another and adapt their timing plans based on the traffic ... -
Subcarrier-Index Modulation for Reed Solomon Encoded OFDM-Based Visible Light Communication
(Institute of Electrical and Electronics Engineers Inc., 2019-01-11)In this paper, we propose the subcarrier-index modulation with Reed Solomon encoded Optical Orthogonal Frequency Division Multiplexing with index modulation (IM-RS-OFDM) scheme for visible light communication (VLC). In ... -
Reactivity of Atomic Layer Deposition Precursors with OH/H₂O-Containing Metal Organic Framework Materials
Metal organic frameworks (MOFs) are a class of three-dimensional porous architectures that can be chemically functionalized. The ability of atomic layer deposition (ALD) to incorporate metal atoms or functional groups into ... -
A Programmable Optical Network Testbed in Support of C-RAN: A Reliability Study
With both mobile network services and related data traffic volume on the rise, reliability of the radio access network is of the essence. A number of radio functional splits are defined by 3GPP to offer increased flexibility ... -
Ultrasensitive and Rapid-Response Sensor for the Electrochemical Detection of Antibiotic Residues within Meat Samples
Antimicrobial use in livestock has emerged as a pressing global issue because of the rise of antimicrobial-resistant bacteria. Regulatory authorities across the globe have taken steps to discourage the misuse of these ... -
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 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 Speech Processing Strategy Based on Sinusoidal Speech Model for Cochlear Implant Users
In sinusoidal modeling (SM), speech signal, which is pseudo-periodic in structure, can be approximated by sinusoids and noise without losing significant speech information. A speech processing strategy based on this ... -
Optimization of Air-Gap Profile in Interior Permanent-Magnet Synchronous Motors for Torque Ripple Mitigation
Interior permanent-magnet synchronous motors (IPMSMs) have been widely used due to their high-efficiency and high-power densities. Minimization of torque pulsation resulting in vibration and acoustic noise is one of the ... -
Photothermal Bimorph Actuators with In-Built Cooler for Light Mills, Frequency Switches, and Soft Robots
Photothermal bimorph actuators are widely used for smart devices, which are generally operated in a room temperature environment, therefore a low temperature difference for actuation without deteriorating the performance ... -
Q-Mat+: An Error-Controllable and Feature-Sensitive Simplification Algorithm for Medial Axis Transform
The medial axis transform (MAT), as an intrinsic shape representation, plays an important role in shape approximation, recognition and retrieval. Q-MAT is a state-of-the-art algorithm driven by quadratic error minimization ... -
Low-Temperature Thin Film Transistors Based on Pulsed Laser Deposited CdS Active Layers
Cadmium sulfide (CdS) thin films as n-type semiconductor material were deposited by pulsed laser deposition by varying the argon pressure at room temperature. The structural, morphological and stoichiometric characteristics ... -
Comparison among ECG Filtering Methods for Non-Linear Noise
Electrical functioning of the heart can be translated into a waveform known as Electrocardiography. Perfect diagnosis of heart is very much difficult due to different kinds of noise such as biological signal (EMG), power ... -
Nonlinear Dynamics in the Switched Reluctance Motor Drive with Time-Delay Feedback Control
This paper examines the modes of operation and potential subharmonic and chaotic behaviors exhibited in the switched reluctance motor (SRM) drive which employs modified PI controller with time-delay feedback. An 8/6 pole, ... -
Multi-Responsive and Multi-Motion Bimorph Actuator Based on Super-Aligned Carbon Nanotube Sheets
Multi-responsive actuators have recently aroused intensive research for the requirements of being used in various environments. However, their actuation performances are generally lower than their single responsive ... -
Opportunistic Ambient Backscatter Communication in RF-Powered Cognitive Radio Networks
In the present contribution, we propose a novel opportunistic ambient backscatter communication (ABC) framework for radio frequency (RF)-powered cognitive radio (CR) networks. This framework considers opportunistic spectrum ... -
Sensing-Throughput Tradeoff for Superior Selective Reporting-Based Spectrum Sensing in Energy Harvesting HCRNs
In this paper, we investigate the performance of conventional cooperative sensing (CCS) and superior selective reporting (SSR)-based cooperative sensing in an energy harvesting-enabled heterogeneous cognitive radio network ... -
Energy Efficiency Analysis of Collaborative Compressive Sensing for Cognitive Radio Networks
We investigate the energy efficiency of a conventional collaborative compressed sensing (CCCS) scheme in cognitive radio networks. In particular, we derive expressions for the throughput, energy consumption and energy ...
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