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Articles 3811 - 3840 of 21795
Full-Text Articles in Engineering
A Study Of Coverlay Coated Microstrip Lines For Crosstalk Reduction In Ddr5, Qiang Ming Cai, Yuyu Zhu, Runren Zhang, Yinglei Ren, Xiaoning Ye, Jun Fan
A Study Of Coverlay Coated Microstrip Lines For Crosstalk Reduction In Ddr5, Qiang Ming Cai, Yuyu Zhu, Runren Zhang, Yinglei Ren, Xiaoning Ye, Jun Fan
Electrical and Computer Engineering Faculty Research & Creative Works
Crosstalk becomes a serious problem in microstrip design of printed circuit boards (PCBs) in DDR5. In high-density and high-speed PCBs, widening space or putting shielding between traces to mitigate crosstalk noise may become less effective, because of the limited space. This paper presents a simple and efficient crosstalk reduction approach by using coverlay coated microstrip lines. This coverlay is available in a variety of film and adhesive thicknesses, which is commonly used materials for the resistance welding transform in PCB production. Based on the simulated S-parameters, the FEXT keeps under -40 dB from dc to 16.0 GHz, and more than …
Sensitivity Analysis Of Local Soldermask And Coverlay In High Speed Transimission Lines For Ddr5 Applications To Reduce Fext, Zhu Lin, Xin Cao, Qiang Ming Cai, Yinglei Ren, Xiaoning Ye, Jun Fan
Sensitivity Analysis Of Local Soldermask And Coverlay In High Speed Transimission Lines For Ddr5 Applications To Reduce Fext, Zhu Lin, Xin Cao, Qiang Ming Cai, Yinglei Ren, Xiaoning Ye, Jun Fan
Electrical and Computer Engineering Faculty Research & Creative Works
This article investigated the effects of local solder-mask and overlay structure changes on crosstalk. This structure is based on a four-layer high-speed PCB on a computer DDR5 board. Our goal is to use the obtained simulation results to locate the optimal response that not only meets the performance requirements but is also robust to geometric changes caused by manufacturing tolerances. These two methods have a good correlation with the simulation results and show strong capabilities in the practical applications.
Improving Mode Ii Fracture Toughness Of Secondary Bonded Joints Using Laser Patterning Of Adherends, A. Wagih, R. Tao, A. Yudhanto, G. Lubineau
Improving Mode Ii Fracture Toughness Of Secondary Bonded Joints Using Laser Patterning Of Adherends, A. Wagih, R. Tao, A. Yudhanto, G. Lubineau
Mechanical and Aerospace Engineering Faculty Research & Creative Works
We improve mode II fracture toughness of secondary bonded joints based on the laser treatment of adherend surfaces. We applied CO2 Laser treatment to adherend surface alternatively with low and high energy, resulting in a repeated pattern of rough and smooth surfaces. We used ENF test to characterize mode II fracture toughness, GII, of the bonded CFRP substrates. The results demonstrated that our proposed pattern arrested the crack propagation and triggered new damage mechanisms, such as adhesive cracking, adhesive failure and crack migration to the other interface. These additional mechanisms, some of them were non-local in nature, resulted in …
How The Spatial Correlation In Adhesion Properties Influences The Performance Of Secondary Bonding Of Laminated Composites, Xiaole Li, Ran Tao, Arief Yudhanto, Gilles Lubineau
How The Spatial Correlation In Adhesion Properties Influences The Performance Of Secondary Bonding Of Laminated Composites, Xiaole Li, Ran Tao, Arief Yudhanto, Gilles Lubineau
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Spatial heterogeneity of adhesion properties is known to result in bridging during debonding of secondary bonded composite joints. The ligaments that bridge both substrates have crack-arrest features and thus significantly enhance the fracture resistance of joints. We have investigated the effect of randomly distributed adhesion properties between the adhesive layer and each composite substrate in previous works; however, the spatial correlation of adhesion heterogeneity within or between the substrates and how it effects the failure of secondary bonded composites is still poorly understood. In this current work, we assume that the spatial heterogeneity of adhesion follows a log-normal distribution. The …
A Novel Wideband Decoupling Network For Two Antennas Based On The Wilkinson Power Divider, Min Li, Lijun Jiang, Kwan Lawrence Yeung
A Novel Wideband Decoupling Network For Two Antennas Based On The Wilkinson Power Divider, Min Li, Lijun Jiang, Kwan Lawrence Yeung
Electrical and Computer Engineering Faculty Research & Creative Works
In this article, a wideband decoupling network (DN) is presented based on the Wilkinson power divider (WPD). The DN is composed of 2 two-way unequal WPDs, three transmission lines (TLs), and two reactive components. Two techniques are introduced for the wideband performance: 1) by using the WPD with high output isolation, the antenna matching becomes independent of antenna decoupling. So, the decoupled antennas with the proposed DN could perform broad impedance bandwidths without using matching networks and 2) the DN is designed to minimize antennas' coupling coefficients at two frequencies, which collectively contribute to a broader decoupling bandwidth. In addition, …
Enhanced Deep Learning Approach Based On The Deep Convolutional Encoder-Decoder Architecture For Electromagnetic Inverse Scattering Problems, He Ming Yao, Lijun Jiang, Wei E.I. Sha
Enhanced Deep Learning Approach Based On The Deep Convolutional Encoder-Decoder Architecture For Electromagnetic Inverse Scattering Problems, He Ming Yao, Lijun Jiang, Wei E.I. Sha
Electrical and Computer Engineering Faculty Research & Creative Works
This letter proposes a novel deep learning (DL) approach to resolve the electromagnetic inverse scattering (EMIS) problems. The conventional approaches of resolving EMIS problems encounter assorted difficulties, such as high contrast, high computational cost, inevitable intrinsic nonlinearity, and strong ill-posedness. To surmount these difficulties, a novel DL approach is proposed based on a novel complex-valued deep fully convolutional neural network structure. The proposed complex-valued deep learning model for solving EMIS problems composes of an encoder network and its corresponding decoder network, followed by a final pixel-wise regression layer. The complex-valued encoder network extracts feature fragments from received scattered field data, …
A Feasible Approach To Predicting Time-Dependent Bearing Performance Of Jacked Piles From Cptu Measurements, Lin Li, Jingpei Li, De'an Sun, Weibing Gong
A Feasible Approach To Predicting Time-Dependent Bearing Performance Of Jacked Piles From Cptu Measurements, Lin Li, Jingpei Li, De'an Sun, Weibing Gong
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
In this paper, a simple but feasible approach is proposed to predict the time-dependent load carrying behaviors of jacked piles from CPTu measurements. The corrected cone resistance, which considers the unequal area of the cone rod and the cone, is used to determine the soil parameters used in the proposed approach. The pile installation effects on the changes in the stress state of the surrounding soil are assessed by an analytical solution to undrained expansion of a cylindrical cavity in K0-consolidated anisotropic clayey soil. Considering the similarity and scale effects between the piezocone and the pile, the CPTu measurements are …
The Ethical Challenges Of Antimicrobial Resistance For Nurse Practitioners, Sarah Oerther, Daniel B. Oerther
The Ethical Challenges Of Antimicrobial Resistance For Nurse Practitioners, Sarah Oerther, Daniel B. Oerther
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Antimicrobial resistance (AMR) is one of the most challenging worldwide health threats facing modern medicine (Centers for Disease Control, 2018; Logan & Bonomo, 2016; World Health Organization, 2018; Zerr et al., 2014). According to the World Health Organization (2018), when antimicrobial drugs are no longer effective at killing infections caused by bacteria, fungi, parasites and viruses, this is called AMR. AMR leads to drug-resistant infections (World Health Organization, 2018). Nurse practitioners need to be leaders in mitigating risks associated with antimicrobial use, including ethical dilemmas surrounding AMR (Centers for Disease Control, 2018; Logan & Bonomo, 2016; World Health Organization, 2018; …
Predicting Effective Fracture Toughness Of Zrb₂-Based Ultra-High Temperature Ceramics By Phase-Field Modeling, Arezoo Emdadi, Jeremy Lee Watts, William Fahrenholtz, Greg Hilmas, Mohsen Asle Zaeem
Predicting Effective Fracture Toughness Of Zrb₂-Based Ultra-High Temperature Ceramics By Phase-Field Modeling, Arezoo Emdadi, Jeremy Lee Watts, William Fahrenholtz, Greg Hilmas, Mohsen Asle Zaeem
Materials Science and Engineering Faculty Research & Creative Works
The effective fracture toughness (EFT) of ZrB2-C ceramics with different engineered microarchitectures was numerically evaluated by phase-field modeling. To verify the model, fibrous monoliths (elongated hexagonal ZrB2-rich cells in a continuous C-rich matrix) with different volume fractions of a C-rich phase were considered. Architectures containing 10 and 30 vol% of C-rich phase showed EFT values about 42% more than that of pure ZrB2. Increasing the C-rich phase to 50 vol%, dropped toughness significantly, which is in agreement with the experimental results. Replacing hexagonal cells with cylindrical, triangular, or square cells of the same cross-sectional …
International Year Of Glass, Bill Fahrenholtz
International Year Of Glass, Bill Fahrenholtz
Materials Science and Engineering Faculty Research & Creative Works
No abstract provided.
Feature Bagging And Extreme Learning Machines: Machine Learning With Severe Memory Constraints, Kallin Khan, Edward Ratner, Robert Ludwig, Amaury Lendasse
Feature Bagging And Extreme Learning Machines: Machine Learning With Severe Memory Constraints, Kallin Khan, Edward Ratner, Robert Ludwig, Amaury Lendasse
Engineering Management and Systems Engineering Faculty Research & Creative Works
With the Onset of Easy Access to Supercomputers with High Amounts of Memory Available, Machine Learning Algorithms Have Continued to Increase the Resources Necessary to Perform their Data Analysis. This Paper Aims to Show Development in the Other Direction, by Showing that through the Use of a Combination of Feature Bagging and Ensembles of Extreme Learning Machines (Elms) It is Possible to Leverage Machine Learning, Without Loss of Accuracy, on Devices Where Flash Memory is Very Scarce, and Random-Access Memory (Ram) is Even Scarcer, Such as on Embedded Systems. This Novel Strategy is Called Feature Bagged Extreme Learning Machines (Fb-Elms).
Availability-Resilient Control Of Uncertain Linear Stochastic Networked Control Systems, Chandreyee Bhowmick, S. Jagannathan
Availability-Resilient Control Of Uncertain Linear Stochastic Networked Control Systems, Chandreyee Bhowmick, S. Jagannathan
Electrical and Computer Engineering Faculty Research & Creative Works
The resilient output feedback control of linear networked control (NCS) system with uncertain dynamics in the presence of Gaussian noise is presented under the denial of service (DoS) attacks on communication networks. The DoS attacks on the sensor-to-controller (S-C) and controller-to-actuator (C-A) networks induce random packet losses. The NCS is viewed as a jump linear system, where the linear NCS matrices are a function of induced losses that are considered unknown. A set of novel correlation detectors is introduced to detect packet drops in the network channels using the property of Gaussian noise. By using an augmented system representation, the …
Measurement Of The Amplitude And Phase Response Of Harmonic Products In Protection Diodes, Marcelo B. Perotoni, Omid Hoseini Izadi, David Pommerenke
Measurement Of The Amplitude And Phase Response Of Harmonic Products In Protection Diodes, Marcelo B. Perotoni, Omid Hoseini Izadi, David Pommerenke
Electrical and Computer Engineering Faculty Research & Creative Works
This paper provides initial data from a measurement setup that captures not only the magnitude of unwanted harmonic signals created by TVS diodes but also measures their phase. Initial SPICE simulations are used for qualitative comparison. Goal is to use the phase information to gain in-sight into the mechanisms that create harmonics, not only for Transient Voltage Supressor diodes, but also for imperfect metallic contacts.
Decoupling Capacitor Placement Optimization With Lagrange Multiplier Method, Zhifei Xu, Jun Wang, Jun Fan
Decoupling Capacitor Placement Optimization With Lagrange Multiplier Method, Zhifei Xu, Jun Wang, Jun Fan
Electrical and Computer Engineering Faculty Research & Creative Works
This paper proposes a decoupling capacitor placement optimization method based on the cavity model and Lagrange multiplier. The variable conditions associating with coordinates (x,y) of input impedance expression based on the cavity model are combined with the Lagrange multiplier method. The decoupling capacitor optimum placement within a defined area of the board can be found through the proposed analytical method. The example of finding an optimum location of the decoupling capacitor within a defined area of the power delivery network is exposed, the results are compared to the brute-force method to prove the effectiveness of the proposed method.
Dipole Source Reconstruction By Convolutional Neural Networks, Jiayi He, Qiaolei Huang, Jun Fan
Dipole Source Reconstruction By Convolutional Neural Networks, Jiayi He, Qiaolei Huang, Jun Fan
Electrical and Computer Engineering Faculty Research & Creative Works
Equivalent dipole moments are widely used for noise source reconstruction in radio frequency interference (RFI) study. The equivalent dipole sources are usually extracted from measured near-field pattern. This paper introduces a machine learning based method to extract the dipole moments. A convolutional neural network is trained to perform a multi-label classification to determine the type of dipole moments. The locations of the dipole moments are obtained from the global averaging pooling layer. Then the magnitude and phase of the dipoles can be calculated from least square (LSQ) optimization. The proposed method is tested on simulated near-field patterns. The comparison between …
Asymptotic Analysis For Overlap In Waveform Relaxation Methods For Rc Type Circuits, Martin J. Gander, Pratik M. Kumbhar, Albert E. Ruehli
Asymptotic Analysis For Overlap In Waveform Relaxation Methods For Rc Type Circuits, Martin J. Gander, Pratik M. Kumbhar, Albert E. Ruehli
Electrical and Computer Engineering Faculty Research & Creative Works
Waveform relaxation (WR) methods are based on partitioning large circuits into sub-circuits which then are solved separately for multiple time steps in so called time windows, and an iteration is used to converge to the global circuit solution in each time window. Classical WR converges quite slowly, especially when long time windows are used. To overcome this issue, optimized WR (OWR) was introduced which is based on optimized transmission conditions that transfer information between the sub-circuits more efficiently than classical WR. We study here for the first time the influence of overlapping sub-circuits in both WR and OWR applied to …
Online Optimal Adaptive Control Of A Class Of Uncertain Nonlinear Discrete-Time Systems, Rohollah Moghadam, Pappa Natarajan, Krishnan Raghavan, Sarangapani Jagannathan
Online Optimal Adaptive Control Of A Class Of Uncertain Nonlinear Discrete-Time Systems, Rohollah Moghadam, Pappa Natarajan, Krishnan Raghavan, Sarangapani Jagannathan
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, a multi-layer neural network (MNN) based online optimal adaptive regulation of a class of nonlinear discrete-time systems in affine form with uncertain internal dynamics is introduced. The multi-layer neural networks (MNN)-based actor-critic framework is utilized to estimate the optimal control input and cost function. The temporal difference (TD) error is derived from the difference between actual and estimated cost function. The MNN weights of both critic and actor are tuned at every sampling instant as a function of the instantaneous temporal difference and control policy errors. The proposed approach does not require the selection of any basis …
Empirical Modeling Of Contact Intermodulation Effect On Coaxial Connectors, Xiong Chen, Yongning He, Ming Yu, David J. Pommerenke, Jun Fan
Empirical Modeling Of Contact Intermodulation Effect On Coaxial Connectors, Xiong Chen, Yongning He, Ming Yu, David J. Pommerenke, Jun Fan
Electrical and Computer Engineering Faculty Research & Creative Works
An empirical modeling of contact nonlinearity-induced intermodulation (IM) effect on the coaxial connector is presented in this article. The IM weights on inner and outer conductors are clarified using the measurement method. The contact degeneration-induced IM evolution is quantized by considering the contact coupling effect between the inner and outer conductors. This article demonstrated a set of test methods to quantify the oxide-induced nonlinearity with contact degeneration effects, and these methods can evaluate the contact IM products and further predict the low IM lifetime of passive devices.
Electric Parameter Tuning Of Wireless Power Transfer Coil For Charging Interoperability Of Electric Vehicles, Dongwook Kim, Seungyoung Ahn, Qiusen He, Anfeng Huang, Jun Fan, Hongseok Kim
Electric Parameter Tuning Of Wireless Power Transfer Coil For Charging Interoperability Of Electric Vehicles, Dongwook Kim, Seungyoung Ahn, Qiusen He, Anfeng Huang, Jun Fan, Hongseok Kim
Electrical and Computer Engineering Faculty Research & Creative Works
The SAE J2954 recommended practice (RP) contains the power transfer frequency, electric values, and test procedure for the electric vehicle (EV) wireless power transfer (WPT). In particular, this document expresses the inductance range of the powering coil, the power receiving coil and the coupling coefficient (k) and the impedance values. It is very important that adhering the electrical parameters in the standard considering that the wireless charging system's compatibility. However, once the coil is processed, it is not easy to adjust the inductance of each powering coil, power receiving coil as well as the coupling coefficient of between transmitting coil …
The Effect Of The Parallel-Plate Mode On Striplines In Inhomogeneous Dielectric Media, Jiayi He, Shaohui Yong, Zurab Kiguradze, Arun Chada, Bhyrav Mutnury, James Drewniak
The Effect Of The Parallel-Plate Mode On Striplines In Inhomogeneous Dielectric Media, Jiayi He, Shaohui Yong, Zurab Kiguradze, Arun Chada, Bhyrav Mutnury, James Drewniak
Electrical and Computer Engineering Faculty Research & Creative Works
Strip lines are widely used in high speed printed circuit boards (PCB). When the strip line is in inhomogeneous dielectric media, its principal operation mode is quasi-TEM. In this case, the parallel-plate mode between two ground planes can be excited as a parasitic mode. This paper investigates the effect of this parasitic mode on strip lines through simulations. The simulated S-parameters of strip lines when this parallel-plate mode is excited and suppressed are compared. The measured S-parameters of strip lines with and without the ground stitching vias are also compared. The impact of the parasitic mode on time domain crosstalk …
Low Emf Design Of Cochlear Implant Wireless Power Transfer System Using A Shielding Coil, Seokwoo Hong, Seungtaek Jeong, Seongsoo Lee, Boogyo Sim, Hongseok Kim, Joungho Kim
Low Emf Design Of Cochlear Implant Wireless Power Transfer System Using A Shielding Coil, Seokwoo Hong, Seungtaek Jeong, Seongsoo Lee, Boogyo Sim, Hongseok Kim, Joungho Kim
Electrical and Computer Engineering Faculty Research & Creative Works
Wireless power transfer (WPT) technology is widely used for various applications because of convenience and safety. Especially, medical implant devices such as a cochlear implant are one of the typical applications of the WPT technology. However, WPT systems have problems with electromagnetic field (EMF) leakage, which can cause electro-magnetic interference (EMI) issues in the human body. In this paper, we propose an additional shielding coil for the effective suppression of EMF radiation of a WPT system. The proposed method reduces the EMF leakage in operating frequency range. We verified that the proposed shielding coil reduced the EMF leakage by 5.1 …
An Enhanced Deep Reinforcement Learning Algorithm For Decoupling Capacitor Selection In Power Distribution Network Design, Ling Zhang, Wenchang Huang, Jack Juang, Hank Lin, Bin Chyi Tseng, Chulsoon Hwang
An Enhanced Deep Reinforcement Learning Algorithm For Decoupling Capacitor Selection In Power Distribution Network Design, Ling Zhang, Wenchang Huang, Jack Juang, Hank Lin, Bin Chyi Tseng, Chulsoon Hwang
Electrical and Computer Engineering Faculty Research & Creative Works
The selection of decoupling capacitors (decap) is a critical but tedious process in power distribution network (PDN) design. In this paper, an improved decap-selection algorithm based on deep reinforcement learning (DRL), which seeks the minimum number of decaps through a self-exploration training to satisfy a given target impedance, is presented. Compared with the previous relevant work: the calculation speed of PDN impedance is significantly increased by adopting an impedance matrix reduction method; also, the enhanced algorithm performs a better convergence by utilizing the techniques of double Q-learning and prioritized experience replay; furthermore, a well-designed reward is proposed to facilitate long-term …
High-Speed Channel Equalization Applying Parallel Bayesian Machine Learning, Zurab Kiguradze, Nana Dikhaminjia, Mikheil Tsiklauri, Jiayi He, Bhyrav Mutnury, Arun Chada, James L. Drewniak
High-Speed Channel Equalization Applying Parallel Bayesian Machine Learning, Zurab Kiguradze, Nana Dikhaminjia, Mikheil Tsiklauri, Jiayi He, Bhyrav Mutnury, Arun Chada, James L. Drewniak
Electrical and Computer Engineering Faculty Research & Creative Works
Recovering attenuated signals caused by different issues including connections between connectors and chips of the devices, channel loss, and crosstalk is a challenging problem. Equalization is the most popular way to restore distorted signals. Different optimization algorithms are used to find the best tap coefficients for each equalization that improves eye opening and decreases the bit error rate (BER). Nowadays algorithms of equalization mainly operate to reduce the difference between input and output signals. In turn, this will increase eye height indirectly, but direct maximization of the eye height will restore the signal even better. The paper proposes a new …
Rfi Estimation For Multiple Noise Sources Due To Modulation At A Digital Mic Using Diople Moment Based Reciprocity, Shengxuan Xia, Jingdong Sun, Qiaolei Huang, Yansheng Wang, Hanfeng Wang, Ken Wu, Songping Wu, Jun Fan
Rfi Estimation For Multiple Noise Sources Due To Modulation At A Digital Mic Using Diople Moment Based Reciprocity, Shengxuan Xia, Jingdong Sun, Qiaolei Huang, Yansheng Wang, Hanfeng Wang, Ken Wu, Songping Wu, Jun Fan
Electrical and Computer Engineering Faculty Research & Creative Works
Non-ideal ground structures in flexible printed circuit board, such as the meshed ground or discrete ground nets, can cause severe RFI to the nearby antennas. Those RF radiators can be modeled as a set of equivalent dipole moment(s) when they are electrically small. Then, the dipole moment-based reciprocity theorem can be applied to estimate the noise coupling level. In this article, a practical methodology using the dipole moment-based reciprocity is proposed to identify multiple radiation sources of a real cellphone product. Multiple equivalent dipole moments are constructed with one-to-one correspondence to the physical structures. The reciprocity calculations can eventually provide …
Decoupling Capacitor Power Ground Via Layout Analysis For Multi-Layered Pcb Pdns, Biyao Zhao, Shuang Liang, Samuel Connor, Matteo Cocchini, Brice Achkir, Albert E. Ruehli, Bruce Archambeault, Jun Fan, James L. Drewniak
Decoupling Capacitor Power Ground Via Layout Analysis For Multi-Layered Pcb Pdns, Biyao Zhao, Shuang Liang, Samuel Connor, Matteo Cocchini, Brice Achkir, Albert E. Ruehli, Bruce Archambeault, Jun Fan, James L. Drewniak
Electrical and Computer Engineering Faculty Research & Creative Works
A modeling methodology to calculate the decoupling capacitor interconnect inductance in a multi-layer PCB is proposed herein. The methodology is based on the resonant cavity model of parallel planes. The self-inductance and mutual inductance are extracted to understand the via configuration influence on the effectiveness of decoupling capacitors. A special layout of decoupling capacitor is proposed to increase the effectiveness of the decoupling capacitors by taking maximum advantage of the mutual inductance between interconnect vias with two decoupling capacitors placed in a pair, and two pairs of power and ground vias placed in alternating directions as close as possible. The …
Final Report - Bridge Resilience Assessment With Inspire Data, Iris Tien, Yijian Zhang
Final Report - Bridge Resilience Assessment With Inspire Data, Iris Tien, Yijian Zhang
Project RR-1
This project proposed a methodology to assess the impact of corrosion on the performance of bridges. The combined analytical and numerical modeling of shear-critical and lap-spliced columns is detailed, and outcomes are verified with previous experimental test data. The impact of corrosion on risk is assessed through conducting fragility analyses. Results quantify the increase in failure probabilities of these structures, measured by increasing probabilities of exceeding defined damage states, with increasing levels of corrosion. Corrosion is found to have a larger impact on increasing probabilities of exceeding more severe damage states. Twenty percent mass loss of reinforcement increases the probability …
One-Dimensional Sensor Learns To Sense Three-Dimensional Space, Chen Zhu, Rex E. Gerald, Yizheng Chen, Jie Huang
One-Dimensional Sensor Learns To Sense Three-Dimensional Space, Chen Zhu, Rex E. Gerald, Yizheng Chen, Jie Huang
Electrical and Computer Engineering Faculty Research & Creative Works
A sensor system with ultra-high sensitivity, high resolution, rapid response time, and a high signal-to-noise ratio can produce raw data that is exceedingly rich in information, including signals that have the appearances of "noise". The "noise"feature directly correlates to measurands in orthogonal dimensions, and are simply manifestations of the off-diagonal elements of 2nd-order tensors that describe the spatial anisotropy of matter in physical structures and spaces. The use of machine learning techniques to extract useful meanings from the rich information afforded by ultra-sensitive one-dimensional sensors may offer the potential for probing mundane events for novel embedded phenomena. Inspired by our …
Mobile Manipulating Drones, Paul Oh
Mobile Manipulating Drones, Paul Oh
INSPIRE Archived Webinars
In the past few years, robotic limbs have been attached to rotorcraft drones to perform aerial manipulation. Unlike simple object pick-and-place, such mobile-manipulating drones are dexterous to perform tasks like valve-turning, hatch-opening, and tool-handling. This is a paradigm shift where such drones actively interact with their environment rather than just passively surveil. Aerial manipulation is challenging because such interaction yields reaction forces and torques that destabilize the drone. This talk will provide an overview of aerial manipulation and showcase examples that could serve in infrastructure inspection, maintenance, and repair.
Handling Missing Data For Unsupervised Learning With An Application On A Fitbir Traumatic Brain Injury (Tbi) Dataset, Louis Steinmeister, Dacosta Yeboah, Gayla Olbricht, Tayo Obafemi-Ajayi, Bassam Hadi, Daniel Hier, Donald C. Wunsch
Handling Missing Data For Unsupervised Learning With An Application On A Fitbir Traumatic Brain Injury (Tbi) Dataset, Louis Steinmeister, Dacosta Yeboah, Gayla Olbricht, Tayo Obafemi-Ajayi, Bassam Hadi, Daniel Hier, Donald C. Wunsch
Mathematics and Statistics Faculty Research & Creative Works
"The problem of missing data and imputation have been widely discussed amongst specialists. However, many data scientists and applied statisticians fail to appropriately consider this issue. Often, it seems intuitive to discard observations containing missing data or simply to substitute means. This can lead to disastrous consequences, particularly in an era of exponentially increasing data volumes. In the following, we show how inappropriate handling of missing data and an insufficient analysis of the censoring mechanism can lead to a bias, overconfidence in the estimation of parameters, could challenge the reproducibility of obtained results, and may distort the structure of the …
Channel Estimators For Full-Duplex Communication Using Orthogonal Pilot Sequences, Arul Mathi Maran Chandran, Lei Wang, Maciej Jan Zawodniok
Channel Estimators For Full-Duplex Communication Using Orthogonal Pilot Sequences, Arul Mathi Maran Chandran, Lei Wang, Maciej Jan Zawodniok
Electrical and Computer Engineering Faculty Research & Creative Works
Full-duplex communication is desirable to maximize the spectral efficiency, despite the challenges it puts forth. The key challenge inhibiting the operation of radios in full-duplex mode is self-interference. In this paper, we propose a pilot-based channel estimation to estimate both self-interference and communication channels simultaneously at both ends of a full-duplex link using orthogonal sequences. The Cramer-Rao Lower Bound for estimators of both the channels was determined and compared with the half-duplex channel estimator. We performed simulations varying sequence length and channel taps and studied the performance of the estimators. We also studied the effect of synchronization between the sequences …