Engineering Commons^™

Composition And Temperature Dependent Optical Properties Of Al X Ga 1-X N Alloy By Spectroscopic Ellipsometry, Yao Liu, Qing Xuan Li, Ling Yu Wan, Bahadir Kucukgok, Ehsan Ghafari, Ian T. Ferguson, Xiong Zhang, Shuchang Wang, Zhe Chuan Feng, Na Lu

Electrical and Computer Engineering Faculty Research & Creative Works

A series of Al x Ga 1-x N/AlN/Sapphire films with x = 0.35–0.75 and different thickness of epi-layer were prepared by metalorganic chemical vapor deposition (MOCVD). Spectroscopic ellipsometry (SE) was used to study the temperature-dependent refractive indices and optical bandgaps of the Al x Ga 1-x N films ranging from 300 to 823 K. Parametric semiconductor (PSEMI) models were used to describe the dielectric functions of AlGaN/AlN layers. The fitting results of refractive index, energy bandgap, thickness and surface roughness at 300 K are in good agreement with photoluminescence (PL), scanning electron microscopy (SEM) measurements and the existing literature. Our …

Drained Elastoplastic Solution For Cylindrical Cavity Expansion In K0-Consolidated Anisotropic Soil, Jingpei Li, Weibing Gong, Lin Li, Fang Liu

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

This paper presents a semi analytical solution for drained expansion of a cylindrical cavity in K0-consolidated clay. The solution is derived based on the K0-based anisotropic modified Cam-clay model (K0-AMCC), which can properly consider the initial stress anisotropy and the initial stress-induced anisotropy of natural soils. Parametric studies are carried out to investigate the effects of different over consolidation ratios on the growth of plastic zone and cavity pressure, the distributions of the stress components and the specific volume around the cavity, and the effective stress path. The results are compared with the published solution based on the modified Cam-clay …

A Multiscale Modeling Study Of Particle Size Effects On The Tissue Penetration Efficacy Of Drug-Delivery Nanoparticles, Mohammad Aminul Islam, Sutapa Barua, Dipak Barua

Chemical and Biochemical Engineering Faculty Research & Creative Works

Background: Particle size is a key parameter for drug-delivery nanoparticle design. It is believed that the size of a nanoparticle may have important effects on its ability to overcome the transport barriers in biological tissues. Nonetheless, such effects remain poorly understood. Using a multiscale model, this work investigates particle size effects on the tissue distribution and penetration efficacy of drug-delivery nanoparticles.

Results: We have developed a multiscale spatiotemporal model of nanoparticle transport in biological tissues. The model implements a time-adaptive Brownian Dynamics algorithm that links microscale particle-cell interactions and adhesion dynamics to tissue-scale particle dispersion and penetration. The model accounts …

Metabolomic Effects Of Ceo₂, Sio₂ And Cuo Metal Oxide Nanomaterials On Hepg2 Cells, Kirk T. Kitchin, Steve Stirdivant, Brian L. Robinette, Benjamin T. Castellon, Xinhua Liang

Chemical and Biochemical Engineering Faculty Research & Creative Works

Background: To better assess potential hepatotoxicity of nanomaterials, human liver HepG2 cells were exposed for 3 days to five different CeO₂ (either 30 or 100 μg/ml), 3 SiO₂ based (30 μg/ml) or 1 CuO (3 μg/ml) nanomaterials with dry primary particle sizes ranging from 15 to 213 nm. Metabolomic assessment of exposed cells was then performed using four mass spectroscopy dependent platforms (LC and GC), finding 344 biochemicals.

Results: Four CeO₂, 1 SiO₂ and 1 CuO nanomaterials increased hepatocyte concentrations of many lipids, particularly free fatty acids and monoacylglycerols but only CuO elevated lysolipids and …

Classification Of Rest And Active Periods In Actigraphy Data Using Pca, Isaac W. Muns, Yogesh Lad, Ivan G. Guardiola, Matthew S. Thimgan

Engineering Management and Systems Engineering Faculty Research & Creative Works

In this paper we highlight a clustering algorithm for the purpose of identifying sleep and wake periods directly from actigraphy signals. The paper makes use of statistical Principal Component Analysis to identify periods of rest and activity. The aim of the proposed methodology is to develop a quick and efficient method to determine the sleep duration of an individual. In addition, a robust method that can identify sleep periods in the accelerometer data when duration, time of day varies by individual. A selected group of 10 individual's sensor data consisting of actigraphy from an accelerometer (3-axis), near body temperature, and …

Energy Consumption Modeling Of Stereolithography-Based Additive Manufacturing Toward Environmental Sustainability, Yiran Yang, Lin Li, Yayue Pan, Zeyi Sun

Engineering Management and Systems Engineering Faculty Research & Creative Works

Additive manufacturing (AM), also referred as three-dimensional printing or rapid prototyping, has been implemented in various areas as one of the most promising new manufacturing technologies in the past three decades. In addition to the growing public interest in developing AM into a potential mainstream manufacturing approach, increasing concerns on environmental sustainability, especially on energy consumption, have been presented. To date, research efforts have been dedicated to quantitatively measuring and analyzing the energy consumption of AM processes. Such efforts only covered partial types of AM processes and explored inadequate factors that might influence the energy consumption. In addition, energy consumption …

Reward/Penalty Design In Demand Response For Mitigating Overgeneration Considering The Benefits From Both Manufacturers And Utility Company, Md Monirul Islam, Zeyi Sun, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

The high penetration of renewable sources in electricity grid has led to significant economic, environmental, and societal benefits. However, one major side effect, overgeneration, due to the uncontrollable property of renewable sources has also emerged, which becomes one of the major challenges that impedes the further large-scale adoption of renewable technology. Electricity demand response is an effective tool that can balance the supply and demand of the electricity throughout the grid. In this paper, we focus on the design of reward/penalty mechanism for the demand response programs aiming to mitigate the overgeneration. The benefits for both manufacturers and utility companies …

A General Algorithm For Assessing Product Architecture Performance Considering Architecture Extension In Cyber Manufacturing, Md Monirul Islam, Zeyi Sun, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

In modern manufacturing, the product architecture design options are usually restricted to those that can be produced with 100% confidence using those proven technologies to satisfy the existing customer requirement. As a result, the inefficiencies of architecture design are considerable due to such limitations. This issue is of particular interests in cyber manufacturing when exploring the tradeoff between generality and feasibility in product design and manufacturing. It can be expected that the improvement and extension of the existing product architecture may be required to meet new customer requirement when new technologies become available. An effective system performance assessment algorithm is …

Analysis Of Autonomous Unmanned Aerial Systems Based On Operational Scenarios Using Value Modelling, Akash Vidyadharan, Robert Philpott Iii, Benjamin J. Kwasa, Christina L. Bloebaum

Engineering Management and Systems Engineering Faculty Research & Creative Works

In recent years, the use of UAS (Unmanned Aerial Systems) has moved beyond the realm of military operations and has made its way into the hands of consumers and commercial industries. Although the applications of UAS in commercial industries are virtually endless, there are many issues regarding their operations that need to be considered before these valuable pieces of equipment are allowed for widespread civil use. Currently, UAS operations in the public domain are guided and controlled by the FAA Part 107 rules after overwhelming public pressure caused by the earlier 333 exemption. In order to approach such larger issues, …

Design The Capacity Of Onsite Generation System With Renewable Sources For Manufacturing Plant, Xiao Zhong, Md Monirul Islam, Haoyi Xiong, Zeyi Sun

Computer Science Faculty Research & Creative Works

The utilization of onsite generation system with renewable sources in manufacturing plants plays a critical role in improving the resilience, enhancing the sustainability, and bettering the cost effectiveness for manufacturers. When designing the capacity of onsite generation system, the manufacturing energy load needs to be met and the cost for building and operating such onsite system with renewable sources are two critical factors need to be carefully quantified. Due to the randomness of machine failures and the variation of local weather, it is challenging to determine the energy load and onsite generation supply at different time periods. In this paper, …

Apparatus And Method For Controlling Dc-Ac Power Conversion, Patrick L. Chapman, Brian T. Kuhn, Robert S. Balog, Jonathan W. Kimball, Philip T. Krein, Alexander Gray, T. Esram

Electrical and Computer Engineering Faculty Research & Creative Works

An apparatus and method for controlling the delivery of power from a DC source to an AC grid includes an inverter configured to deliver power from the unipolar input source to the AC grid and an inverter controller. The inverter includes an input converter, an active filter, and an output converter. The inverter controller includes an input converter controller, an active filter controller and an output converter controller. The input converter controller is configured to control a current delivered by the input converter to a galvanically isolated unipolar bus of the inverter. The output converter is configured to control the …

Seismic Performance Of Hollow-Core Composite Columns Under Cyclic Loading, Mohanad M. Abdulazeez, Mohamed Elgawady

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This paper experimentally investigates the seismic behavior of a large-scale, hollow-core, fiber-reinforced, polymerconcrete- steel HC-FCS column under cyclic loading. The typical precast HC-FCS member consists of a concrete wall sandwiched between an outer fiber-reinforced polymer (FRP) tube and an inner steel tube. The FRP tube provides continuous confinement for the concrete wall, along the height of the column. The column is inserted into the footing and temporarily supported; then, the footing is cast in place around the column. The seismic performance of the precast HC-FCS columns was assessed and compared with previous experimental work. The compared column had the same …

Underwater Object Tracking Strategy Via Multi-Scale Retinex And Partial Least Squares Analysis, Baochen Hao, Yue Zhu, Ruijie Chang, Rui Nian, Bo He, Lujie Cao, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

Underwater Object Tracking is One of the Most Essential and Fundamental Tasks in Ocean Investigations Recent Years. in This Paper, We Try to Capture Multi-Scale Retinex (MSR) Model as Well as the Partial Least Square (Pls) Analysis for Underwater Object Tracking. We First Make Use of Multi-Scale Retinex Model to Evolve and Enhance the Partial Color Constancy from the Underwater Video Sequences, Which Could Provide a Versatile Automatic Strategy to Simultaneous Sharpening, Dynamic Range Compression and Color Rendition. the Partial Least Square Analysis is Further Taken to Capture the Trajectories of Underwater Objects by Learning a Set of Underwater Appearance …

Underwater Image Super-Resolution Reconstruction With Local Self-Similarity Analysis And Wavelet Decomposition, Xiaorun Wang, Rui Nian, Bo He, Bing Zheng, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

Underwater Target Detecting is an Important Technique for the Development of the Ocean Engineering and Exploration Also a Significant Task of the Ocean Detecting. It Plays a Substantial Role Not Only for the Civil Economy but Also for the National Security. the Formation of the Super-Resolution Underwater Image is Significant Topic in Ocean Detecting Field. in Order to Enhance the Visual Quality of Images Obtained by Underwater Imaging Systems, Super Resolution (Sr) Reconstruction is Introduced, Including Single-Frame and Multi-Frame Sr Algorithms. Real-World Images Often Contain Singularities Such as Edges and High-Frequency Textured Regions. as a Result, These Methods Suffer from …

Underwater Image Segmentation With Co-Saliency Detection And Local Statistical Active Contour Model, Yue Zhu, Baochen Hao, Baohua Jiang, Rui Nian, Bo He, Xinmin Ren, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

Image Segmentation of Underwater Environment with Inhomogeneous Intensity Turns Out to Be One of the Most Challenging Topics These Years. in This Paper, We Try to Combine Co-Saliency Detection with Local Statistical Active Contour Model Together for Underwater Image Segmentation. the Cluster-Based Algorithm is First Taken for Co-Saliency Detection, Which Makes Salient Region in the Underwater Images Be Highlighted. the Local Statistical Active Contour Model, a Novel Region-Based Level Set Method, is Then Made Full Use of two Segment Underwater Images. It is Shown in Our Simulation Experiment that Our Proposed Scheme Could Achieve Great Segmentation Performance in Both Efficiency …

A Depth Estimation Model From A Single Underwater Image With Non-Uniform Illumination Correction, Shichang Zhang, Xiaofei Gong, Rui Nian, Bo He, Yaomin Wang, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

Underwater Visual Understanding Tends to Be One of the Most Important Challenges in Ocean Investigations Recent Years. in This Paper, We Make an Attempt to Develop a Depth Estimation Approach from One Single Underwater Image with Non-Uniform Illumination Correction. First, We Try to Remove the Relatively Strong Reflection Layer from the Scene Layer in Those Underwater Images with Non-Uniform Illumination and Rely on the Saturation Detection to Characterize the Local Regions of the Artificial Illumination in Underwater Images for Compensation in Depth Estimation. Then We Try to Implement Underwater Dark Channel Prior and Basically Consider the Blue and Green Color …

Inductance And Capacitance, Bruce Archambeault

Electrical and Computer Engineering Faculty Research & Creative Works

• Inductance is dominated by the size of the loop • Current density in conductor is a secondary effect (wire size) • Inductance is the key limiting factor to make current flow • Current always flows in lowest impedance • At low frequencies → lowest resistance • At high frequencies → lowest inductance • Switch from low to high frequency in KHz range • Capacitance is simply how much charge can be stored.

Introduction To The Finite-Difference Time-Domain (Fdtd) Technique, Bruce Archambeault

Electrical and Computer Engineering Faculty Research & Creative Works

No abstract provided.

On Inductance Of Power Islands And Its Impact On Decoupling Behavior In High Speed Boards, Mosin Mondal, Bruce Archambeault

Electrical and Computer Engineering Faculty Research & Creative Works

Design of power delivery networks for printed circuit boards hosting both analog and digital parts often employs small power islands for supplying power to sensitive components. While providing necessary isolation from noise generated by other components, the power islands also experience increased inductance due to current crowding at the bridge. In this paper, the inductance at a port on the power island has been quantified. The variation of port inductance with the bridge width and slot/gap width has been studied. It has been demonstrated that the increased inductance adversely affects the effectiveness of decoupling capacitors. This necessitates more careful design …

The Interval Grey Numbers Ranking Based On Risk Preferences, Zhaobin Li, Zhuo Zhang, Jian Liu, Shuai Zhang

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a new method for ranking interval grey numbers to address the challenge in multi-criteria decision-making problems with interval grey numbers has been proposed. This new method involves the risk preferences of decision makers. First, we propose a new method to rank the interval grey numbers by comparing the possibility degree or whitened value. Second, we classify the decision makers into three different types according to their risk preferences then we establish the corresponding risk preference assumptions to solve the problem that different interval grey numbers with the same possibility degree or whitened value. Finally, we use a …

Machine Learning Based Method Of Moments (Ml-Mom), He Ming Yao, Li (Lijun) Jun Jiang, Yu Wei Qin

Electrical and Computer Engineering Faculty Research & Creative Works

This paper proposes a novel method by rethinking the method of moments (MoM) solving process into a machine learning training process. Based on the artificial neural network (ANN), the conventional MoM matrix is treated as the training data set, based on which machine learning training process becomes conventional linear algebra MoM solving process. The trained result is the solution of MoM. The multiple linear regression (MLR) is utilized to train the model. Amazon Web Service (AWS) is used as the computations platform to utilize the existing hardware and software resources for machine learning. To verify the feasibility of the proposed …

Orbital Angular Momentum Generation From A Defect In Photonic Crystals, Menglin L.N. Chen, Li (Lijun) Jun Jiang, Wei E.I. Sha

Electrical and Computer Engineering Faculty Research & Creative Works

Orbital angular momentum (OAM) is generated from a defect in two-dimensional (2-D) photonic crystals (PC). By breaking the translation symmetry along the two orthogonal directions, the localized defect states can be supported within photonic bandgap of the PC. Particularly, we examine the characteristics of the point defect states along the azimuthal direction by the finite-difference (FD) based eigenvalue analysis. We find that vortex beam carrying OAM can be generated from the defect. The novel design can be easily integrated in optical circuits.

Using Subdivision Surface Technique To Solve Generalized Debye Sources Based Efie, Xin Fu, Li (Lijun) Jun Jiang, Jie Li, Balasubramaniam Shanker

Electrical and Computer Engineering Faculty Research & Creative Works

In this work, we extend the idea of generalized Debye sources (GDS) method to electric field integral equation (EFIE) and establish a new well-conditioned GDS-EFIE. The principal challenge in implementing this approach arises from the difficulty in developing a robust solver for the surface Laplacian equation. In this paper, we propose using subdivision surfaces that permits such a solution due to the higher order continuous nature of the surface representation. This permits an efficient and effective solution. Thus, GDS-EFIE can be resolved within isogeometric analysis framework as an emerging approach for design-through-analysis. Several numerical results are provided to validate the …

A High Impedance Surface Based Leaky-Wave Antenna Excited By Collimated Surface-Wave, Zi Long Ma, Chi Hou Chan, Kung Bo Ng, Li (Lijun) Jun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents a high impedance surface (HIS) based leaky-wave antenna excited by collimated surface-wave (SW). The proposed antenna consists of a novel SW launcher (SWL) and a carefully designed HIS structure. The SWL employs a substrate-integrated waveguide (SIW) based 2-D offset-fed parabolic reflector and can efficiently generate collimated SW with TM0 mode. On the other hand, the HIS structure is formed by a periodically arranged rectangular microstrip patch array. With the perturbation of the patches, leaky-wave radiation with m=-1 space harmonic mode can be excited. Furthermore, an additional secondary slit is properly designed in each unit cell in the …

Dermal Uptake Of Benzophenone-3 From Clothing, Glenn C. Morrison, Gabriel Bekö, Charles J. Weschler, Tobias Schripp, Tunga Salthammer, Jonathan Hill, Anna Maria Andersson, Jørn Toftum, Geo Clausen, Hanne Frederiksen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Benzophenone-3 (also known as BP-3 or oxybenzone) is added to sunscreens, plastics, and some coatings to filter UV radiation. The suspected endocrine disruptor BP-3 has been detected in the air and settled dust of homes and is expected to redistribute from its original sources to other indoor compartments, including clothing. Given its physical and chemical properties, we hypothesized that dermal uptake from clothing could contribute to the body burden of this compound. First, cotton shirts were exposed to air at an elevated concentration of BP-3 for 32 days; the final air concentration was 4.4 μg/m3. Next, three participants wore the …

Rethinking The Design Of Low-Cost Point-Of-Care Diagnostic Devices, Faith W. Kimani, Samuel M. Mwangi, Benjamin J. Kwasa, Abdi M. Kusow, Benjamin K. Ngugi, Jiahao Chen, Xinyu Liu, Rebecca Cademartiri, Martin M. Thuo

Engineering Management and Systems Engineering Faculty Research & Creative Works

Reducing the global diseases burden requires effective diagnosis and treatment. In the developing world, accurate diagnosis can be the most expensive and time-consuming aspect of health care. Healthcare cost can, however, be reduced by use of affordable rapid diagnostic tests (RDTs). In the developed world, low-cost RDTs are being developed in many research laboratories; however, they are not being equally adopted in the developing countries. This disconnect points to a gap in the design philosophy, where parameterization of design variables ignores the most critical component of the system, the point-of-use stakeholders (e.g., doctors, nurses and patients). Herein, we demonstrated that …

Generalized Debye Sources-Based Efie Solver On Subdivision Surfaces, Xin Fu, Jie Li, Li (Lijun) Jun Jiang, Balasubramaniam Shanker

Electrical and Computer Engineering Faculty Research & Creative Works

The electric field integral equation is a well-known workhorse for obtaining fields scattered by a perfect electric conducting object. As a result, the nuances and challenges of solving this equation have been examined for a while. Two recent papers motivate the effort presented in this paper. Unlike traditional work that uses equivalent currents defined on surfaces, recent research proposes a technique that results in well-conditioned systems by employing generalized Debye sources (GDS) as unknowns. In a complementary effort, some of us developed a method that exploits the same representation for both the geometry (subdivision surface representations) and functions defined on …

Convolutional Neural Network Based Localized Classification Of Uterine Cervical Cancer Digital Histology Images, Haidar A. Almubarak, R. Joe Stanley, Rodney Long, Sameer Antani, George Thoma, Rosemary Zuna, Shelliane R. Frazier

Electrical and Computer Engineering Faculty Research & Creative Works

In previous research, we introduced an automated localized, fusion-based algorithm to classify squamous epithelium into Normal, CIN1, CIN2, and CIN3 grades of cervical intraepithelial neoplasia (CIN). The approach partitioned the epithelium into 10 segments. Image processing and machine vision algorithms were used to extract features from each segment. The features were then used to classify the segment and the result was fused to classify the whole epithelium. This research extends the previous research by dividing each of the 10 segments into 3 parts and uses a convolutional neural network to classify the 3 parts. The result is then fused to …

Titanium Addition Influences Antibacterial Activity Of Bioactive Glass Coatings On Metallic Implants, Omar Rodriguez, Wendy Stone, Emil H. Schemitsch, Paul Zalzal, Stephen Waldman, Marcello Papini, Mark R. Towler

Chemical and Biochemical Engineering Faculty Research & Creative Works

In an attempt to combat the possibility of bacterial infection and insufficient bone growth around metallic, surgical implants, bioactive glasses may be employed as coatings. In this work, silica-based and borate-based glass series were synthesized for this purpose and subsequently characterized in terms of antibacterial behavior, solubility and cytotoxicity. Borate-based glasses were found to exhibit significantly superior antibacterial properties and increased solubility compared to their silica-based counterparts, with BRT0 and BRT3 (borate-based glasses with 0 and 15 mol% of titanium dioxide incorporated, respectively) outperforming the remainder of the glasses, both borate and silicate based, in these respects. Atomic Absorption Spectroscopy …

Time Series Classification Using Deep Learning For Process Planning: A Case From The Process Industry, Nijat Mehdiyev, Johannes Lahann, Andreas Emrich, David Lee Enke, Peter Fettke, Peter Loos

Engineering Management and Systems Engineering Faculty Research & Creative Works

Multivariate time series classification has been broadly applied in diverse domains over the past few decades. However, before applying the classification algorithms, the vast majority of current studies extract hand-engineered features that are assumed to detect local patterns in the time series. Therefore, the efficiency and precision of these classification approaches are heavily dependent on the quality of variables defined by domain experts. Recent improvements in the deep learning domain offer opportunities to avoid such an intensive hand-crafted feature engineering which is particularly important for managing the processes based on time-series data obtained from various sensor networks. In our paper, …