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A Comparison Of Two Innovation Tools: Application On Smart Kitchen Design, Burcu Taşkın Dec 2017

A Comparison Of Two Innovation Tools: Application On Smart Kitchen Design, Burcu Taşkın

Electrical and Computer Engineering Faculty Publications and Presentations

The process is one of the significant issues of companies in innovative product design. The designers and the management deal with producing high quality products with the creativity in a short-term period. The researchers developed techniques to solve that problem as TRIZ. The TRIZ-based techniques aim to recover the gaps of the creative innovation to solve specific problems of technical products and technologies. However, the traditional innovation techniques are still preferred for the design process. This study conducted a comparative research on outcomes regarding the process of two design groups. The assignment is given to ten design students to identify …


Memetic-Based Schedule Synthesis For Communication On Time-Triggered Embedded Systems, Heyuan Shi, Kun Tang, Chengbao Lio, Xiaoyu Song, Chao Hu, Jiaguang Sun Oct 2017

Memetic-Based Schedule Synthesis For Communication On Time-Triggered Embedded Systems, Heyuan Shi, Kun Tang, Chengbao Lio, Xiaoyu Song, Chao Hu, Jiaguang Sun

Electrical and Computer Engineering Faculty Publications and Presentations

ime-triggered systems play an important role in industrial embedded systems. The time-triggered network is deployed on the time-triggered network-on-chip implementation. It ensures the safety-critical industrial communication for real-time embedded multiprocessor systems. To guarantee the safety-critical requirements for communication, each message is transmitted by a predefined static schedule. However, synthesizing a feasible schedule is a challenge because both spatial and temporal constraints should be considered. This article presents a novel memetic-based schedule synthesis algorithm to derive a feasible schedule by determining the offset of messages on the time-triggered network-on-chip. Memetic-based schedule synthesis algorithm is based on memetic algorithm, which incorporates local …


On Dual-Band Amplifications Using Dual Two-Tones: Clarifications And Discussion, Siyuan Yan, Xianzhen Yang, Xiao Li, Fu Lo Sep 2017

On Dual-Band Amplifications Using Dual Two-Tones: Clarifications And Discussion, Siyuan Yan, Xianzhen Yang, Xiao Li, Fu Lo

Electrical and Computer Engineering Faculty Publications and Presentations

A significant development of recent research in nonlinear distortion is the expansion of the conventional two-tone test for power amplifiers to the concurrent dual-band transmitters, by Amin et al. A general framework using dual two-tones is developed, which shows that the output signal is affected not only by intermodulation (IM) products but also by cross-modulation (CM) products. In this paper, we will make a number of clarifications to Amin et al.'s paper. The effects of IM and CM in passband will be discussed, IM represents a reduction for compressive devices, and CM reflects an interference caused by the signal from …


Feedforward Chemical Neural Network: An In Silico Chemical System That Learns Xor, Drew Blount, Peter Banda, Christof Teuscher, Darko Stefanovic Jul 2017

Feedforward Chemical Neural Network: An In Silico Chemical System That Learns Xor, Drew Blount, Peter Banda, Christof Teuscher, Darko Stefanovic

Electrical and Computer Engineering Faculty Publications and Presentations

Inspired by natural biochemicals that perform complex information processing within living cells, we design and simulate a chemically implemented feedforward neural network, which learns by a novel chemical-reaction-based analogue of backpropagation. Our network is implemented in a simulated chemical system, where individual neurons are separated from each other by semipermeable cell-like membranes. Our compartmentalized, modular design allows a variety of network topologies to be constructed from the same building blocks. This brings us towards general-purpose, adaptive learning in chemico: wet machine learning in an embodied dynamical system.


Analysis And Testing Of A Coaxial Magnetic Gearbox With Flux Concentration Halbach Rotors, Debarupa Som, Kang Li, Joshua Kadel, Jason Wright, Sina Modaresahmadi, Jonathan Bird, W. William Jun 2017

Analysis And Testing Of A Coaxial Magnetic Gearbox With Flux Concentration Halbach Rotors, Debarupa Som, Kang Li, Joshua Kadel, Jason Wright, Sina Modaresahmadi, Jonathan Bird, W. William

Electrical and Computer Engineering Faculty Publications and Presentations

Halbach array magnetic gearboxes have been discussed as being able to create high torque density. However, Halbach arrays are difficult to mechanically assembly and often the effective air-gap must be made larger in order to provide space for a retaining sleeve. This paper investigates the benefits of using an additional ferromagnetic retaining pole within the Halbach array structure. It is shown that utilizing this flux concentration ferromagnetic pole improves the torque density and can also help retain the magnets in place.


Passive Bottom Reflection-Loss Estimation Using Ship Noise And A Vertical Line Array, Lanfranco Muzi, Martin Siderius, Christopher M. Verlinden Jun 2017

Passive Bottom Reflection-Loss Estimation Using Ship Noise And A Vertical Line Array, Lanfranco Muzi, Martin Siderius, Christopher M. Verlinden

Electrical and Computer Engineering Faculty Publications and Presentations

An existing technique for passive bottom-loss estimation from natural marine surface noise (generated by waves and wind) is adapted to use noise generated by ships. The original approach—based on beamforming of the noise field recorded by a vertical line array of hydrophones—is retained; however, additional processing is needed in order for the field generated by a passing ship to show features that are similar to those of the natural surface-noise field. A necessary requisite is that the ship position, relative to the array, varies over as wide a range of steering angles as possible, ideally passing directly over the array …


Evolution Of An Introductory Electrical Engineering And Programming Course, Branimir Pejcinovic, Phillip Wong Jun 2017

Evolution Of An Introductory Electrical Engineering And Programming Course, Branimir Pejcinovic, Phillip Wong

Electrical and Computer Engineering Faculty Publications and Presentations

Our first year electrical engineering sequence includes two courses that involve programming and hardware interfacing. ECE 102 deals with engineering problem solving and MATLAB, while ECE 103 introduces C programming. We use MATLAB both as a problem solving tool and as an introduction to programming. Students utilize MATLAB to control a data acquisition device, which enables more realistic team-based projects that combine problem-solving, programming, and interfacing. As is widely recognized, these types of courses are important and difficult to teach. We identified areas that needed improvement in ECE 102: a) outdated lecture format, b) not enough timely feedback, c) insufficient …


Inertial And Time-Of-Arrival Ranging Sensor Fusion, Paul Vasilyeav, Sean Pearson, Mahmoud El-Gohary, Mateo Aboy, James Mcnames May 2017

Inertial And Time-Of-Arrival Ranging Sensor Fusion, Paul Vasilyeav, Sean Pearson, Mahmoud El-Gohary, Mateo Aboy, James Mcnames

Electrical and Computer Engineering Faculty Publications and Presentations

Wearable devices with embedded kinematic sensors including triaxial accelerometers, gyroscopes, and magnetometers are becoming widely used in applications for tracking human movement in domains that include sports, motion gaming, medicine, and wellness. The kinematic sensors can be used to estimate orientation, but can only estimate changes in position over short periods of time. We developed a prototype sensor that includes ultra wideband ranging sensors and kinematic sensors to determine the feasibility of fusing the two sensor technologies to estimate both orientation and position. We used a state space model and applied the unscented Kalman filter to fuse the sensor information. …


Electrodynamic Wheel Magnetic Rolling Resistance, Wei Qin, Jonathan Z. Bird Apr 2017

Electrodynamic Wheel Magnetic Rolling Resistance, Wei Qin, Jonathan Z. Bird

Electrical and Computer Engineering Faculty Publications and Presentations

In this paper the concept of magnetic rolling resistance (MRR) is introduced. The MRR is particularly useful when trying to characterize maglev devices that operate with a slip. Approaches to minimize the MRR for an electrodynamic wheel magnetic suspension device are discussed. MRR is calculated from the power losses and it is shown that by using MRR a direct performance comparison with existing modes of transportation can be made. The MRR for a number of different maglev designs is calculated.


Memcapacitive Devices In Logic And Crossbar Applications, Dat Tran, Christof Teuscher Apr 2017

Memcapacitive Devices In Logic And Crossbar Applications, Dat Tran, Christof Teuscher

Electrical and Computer Engineering Faculty Publications and Presentations

Over the last decade, memristive devices have been widely adopted in computing for various conventional and unconventional applications. While the integration density, memory property, and nonlinear characteristics have many benefits, reducing the energy consumption is limited by the resistive nature of the devices. Memcapacitors would address that limitation while still having all the benefits of memristors. Recent work has shown that with adjusted parameters during the fabrication process, a metal-oxide device can indeed exhibit a memcapacitive behavior. We introduce novel memcapacitive logic gates and memcapacitive crossbar classifiers as a proof of concept that such applications can outperform memristor-based architectures. The …


Fast And Accurate Sparse Coding Of Visual Stimuli With A Simple, Ultra-Low-Energy Spiking Architecture, Walt Woods, Christof Teuscher Apr 2017

Fast And Accurate Sparse Coding Of Visual Stimuli With A Simple, Ultra-Low-Energy Spiking Architecture, Walt Woods, Christof Teuscher

Electrical and Computer Engineering Faculty Publications and Presentations

Memristive crossbars have become a popular means for realizing unsupervised and supervised learning techniques. Often, to preserve mathematical rigor, the crossbar itself is separated from the neuron capacitors. In this work, we sought to simplify the design, removing extraneous components to consume significantly lower power at a minimal cost of accuracy. This work provides derivations for the design of such a network, named the Simple Spiking Locally Competitive Algorithm, or SSLCA, as well as CMOS designs and results on the CIFAR and MNIST datasets. Compared to a non-spiking model which scored 33% on CIFAR-10 with a single-layer classifier, this hardware …


A Timed Colored Petri Net Simulation-Based Self-Adaptive Collaboration Method For Production-Logistics Systems, Zhengang Guo, Yingfeng Zhang, Xibin Zhao, Xiaoyu Song Mar 2017

A Timed Colored Petri Net Simulation-Based Self-Adaptive Collaboration Method For Production-Logistics Systems, Zhengang Guo, Yingfeng Zhang, Xibin Zhao, Xiaoyu Song

Electrical and Computer Engineering Faculty Publications and Presentations

Complex and customized manufacturing requires a high level of collaboration between production and logistics in a flexible production system. With the widespread use of Internet of Things technology in manufacturing, a great amount of real-time and multi-source manufacturing data and logistics data is created, that can be used to perform production-logistics collaboration. To solve the aforementioned problems, this paper proposes a timed colored Petri net simulation-based self-adaptive collaboration method for Internet of Things-enabled production-logistics systems. The method combines the schedule of token sequences in the timed colored Petri net with real-time status of key production and logistics equipment. The key …


Altruistic Punishment Can Help Resolve Tragedy Of The Commons Social Dilemmas, Garrison W. Greenwood Feb 2017

Altruistic Punishment Can Help Resolve Tragedy Of The Commons Social Dilemmas, Garrison W. Greenwood

Electrical and Computer Engineering Faculty Publications and Presentations

Social dilemmas force individuals to choose between cooperation, which benefits a group, and defection which benefits the individual. The unfortunate outcome in most social dilemmas is mutual defection where nobody benefits. Researchers frequently use mathematical games such as public goods games to help identify circumstances that might improve cooperation levels within a population. Altruistic punishment has shown promise in these games. Many real-world social dilemmas are expressed via a tragedy of the commons metaphor. This paper describes an investigation designed to see if altruistic punishment might work in tragedy of the commons social dilemmas. Simulation results indicate not only does …


Analysis Of A Magnetically Geared Lead Screw, Mojtaba Bahrami Kouhshahi, Jonathan Bird Feb 2017

Analysis Of A Magnetically Geared Lead Screw, Mojtaba Bahrami Kouhshahi, Jonathan Bird

Electrical and Computer Engineering Faculty Publications and Presentations

Linear magnetic gearboxes (LMG) and magnetic lead screws (MLS) have been shown to be capable of operating at significantly higher volumetric force densities than traditional electromagnetic linear actuators (ELA). However in both such devices the linear translator must be made of magnet material and therefore if the stroke length of the translator is long the cost of the MLS and LMG will become prohibitively high. In this paper a magnetically geared lead screw (MGLS) is investigated and its performance capability is compared with the LMG and MLS. The advantage of the MGLS is that the translator does not contain magnets.


Ideal Radial Permanent Magnet Coupling Torque Density Analysis, Kang Li, Jonathan Bird, Vedanadam M. Acharya Feb 2017

Ideal Radial Permanent Magnet Coupling Torque Density Analysis, Kang Li, Jonathan Bird, Vedanadam M. Acharya

Electrical and Computer Engineering Faculty Publications and Presentations

This paper derives the closed form 3-D analytical torque equations for an ideal radial Halbach rotor magnetic coupling. The performance of the radial Halbach coupling is then compared with an ideal axial Halbach rotor coupling. The closed form equations and comparison gives insight into the upper torque density limits of Nd-Fe-B based magnetic devices.


A Low Assembly Cost Coaxial Magnetic Gearbox, Kiran Uppalapati, Joshua Kadel, Jason Wright, Kang Li, Wesley Williams, Jonathan Bird Feb 2017

A Low Assembly Cost Coaxial Magnetic Gearbox, Kiran Uppalapati, Joshua Kadel, Jason Wright, Kang Li, Wesley Williams, Jonathan Bird

Electrical and Computer Engineering Faculty Publications and Presentations

This paper presents the design investigation and experimental testing of a flux-focusing magnetic gearbox with a three piece laminated rotor structure. Each rotor is made of a single lamination stack held together via thin lamination bridges. It is calculated that mechanical bridges reduces the torque density from 156Nm/L to 139Nm/L (a reduction of 11%). The experimentally measured torque density is shown to be only 95Nm/L because the magnets were demagnetized during testing.


Toward Improving Electrocardiogram (Ecg) Biometric Verification Using Mobile Sensors: A Two-Stage Classifier Approach, Robin Tan, Marek Perkowski Feb 2017

Toward Improving Electrocardiogram (Ecg) Biometric Verification Using Mobile Sensors: A Two-Stage Classifier Approach, Robin Tan, Marek Perkowski

Electrical and Computer Engineering Faculty Publications and Presentations

Electrocardiogram (ECG) signals sensed from mobile devices pertain the potential for biometric identity recognition applicable in remote access control systems where enhanced data security is demanding. In this study, we propose a new algorithm that consists of a two-stage classifier combining random forest and wavelet distance measure through a probabilistic threshold schema, to improve the effectiveness and robustness of a biometric recognition system using ECG data acquired from a biosensor integrated into mobile devices. The proposed algorithm is evaluated using a mixed dataset from 184 subjects under different health conditions. The proposed two-stage classifier achieves a total of 99.52% subject …


Marine Mammal Tracks From Two-Hydrophone Acoustic Recordings Made With A Glider, Elizabeth T. Küsel, Tessa Munoz, Martin Siderius, David K. Mellinger, Sara L. Heimlich Jan 2017

Marine Mammal Tracks From Two-Hydrophone Acoustic Recordings Made With A Glider, Elizabeth T. Küsel, Tessa Munoz, Martin Siderius, David K. Mellinger, Sara L. Heimlich

Electrical and Computer Engineering Faculty Publications and Presentations

A multinational oceanographic and acoustic sea experiment was carried out in the summer of 2014 off the western coast of the island of Sardinia, Mediterranean Sea. During this experiment, an underwater glider fitted with two hydrophones was evaluated as a potential tool for marine mammal population density estimation studies. An acoustic recording system was also tested, comprising an inexpensive, off-the-shelf digital recorder installed inside the glider. Detection and classification of sounds produced by whales and dolphins, and sometimes tracking and localization, are inherent components of population density estimation from passive acoustics recordings. In this work we discuss the equipment used …


Minimization Of Quantum Circuits Using Quantum Operator Forms, Martin Lukac, Michitaka Kameyama, Marek Perkowski, Pawel Kerntopf Jan 2017

Minimization Of Quantum Circuits Using Quantum Operator Forms, Martin Lukac, Michitaka Kameyama, Marek Perkowski, Pawel Kerntopf

Electrical and Computer Engineering Faculty Publications and Presentations

In this paper we present a method for minimizing reversible quantum circuits using the Quantum Operator Form (QOF); a new representation of quantum circuit and of quantum-realized reversible circuits based on the CNOT, CV and CV† quantum gates. The proposed form is a quantum extension to the well known Reed-Muller but unlike the Reed-Muller form, the QOF allows the usage of different quantum gates. Therefore QOF permits minimization of quantum circuits by using properties of different gates than only the multi-control Toffoli gates. We introduce a set of minimization rules and a pseudo-algorithm that can be used to design circuits …