Engineering Commons^™

Why Unsafety Has A Negative Relationship With Economic Effectiveness In The World?, Aziz Zikriyoev

The Scientific-Practice Journal of Architecture, Construction and Design

Due to regularly registered diseases and major accidents of workers in the construction industry can be explained expandable building projects and state programs for supporting population. The main purpose of the current paperwork is to explain wining unsafety at workplaces both theoretical and practical points of view generated with economic and social levels.

Evaluation Of Undeveloped Hard Coal Deposits And Estimation Of Hard Coal Reserves In The Upper Silesian Coal Basin, Poland, Tomasz Urych, Jarosław Chećko, Marek Rosa, Anna Wątor

Journal of Sustainable Mining

The article presents the results of works concerning evaluation of undeveloped deposits in the Upper Silesian Coal Basin and an estimation of hard coal reserves which can be developed by 2050. Evaluation of hard coal deposits was established on criterions choice and their score determination. On the basis of obtained the final score and after consultations with experts in the field of hard coal mining, there were selected three areas of undeveloped deposits with the amount of about 1.99 Gt (billion metric tons) of anticipated economic resources which can extend the coal reserve base located in the direct vicinity of …

Ac Optimal Power Flow With Thermal–Wind–Solar–Tidal Systems Using The Symbiotic Organisms Search Algorithm, Serhat Duman, Jie Li, Lei Wu

Henry M. Rowan College of Engineering Departmental Research

Optimal power flow problem is one of the most important non-linear problems for power system planning and the operation of existing modern power networks. Recently, the incremental usage of renewable energy sources in power systems has revealed the significance of power system planning. Thus, the aim is to model the AC optimal power flow problem using thermal–wind–solar–tidal energy systems. In this study, uncertainties of wind, solar, and tidal energy systems were simulated using Weibull, Lognormal, and Gumbel probability distribution functions. Furthermore, the study presents solutions to the AC optimal power flow problem by including test cases of stochastic wind, solar, …

Sensitive X-Ray And Gamma-Ray Detectors Including Perovskite Single Crystals, Jinsong Huang, Haotong Wei

Department of Mechanical and Materials Engineering: Faculty Publications

Perovskite single crystal X-ray and gamma-ray radiation detector devices include an X-ray and gamma-ray wavelength responsive active layer including a perovskite single crystal. The perovskite single crystal is a perovskite single crystal having a structure of ABX₃ , wherein A is methyl ammonium ( CH₂NH₂+), C_S+, formamidinum ( H₂NCHNH₂+) , or Rb⁺ or a mixture thereof, B is Pb²⁺ which can be partially or completely replaced by other ions including Bi³⁺, Sb³⁺, Sn²⁺ or a mixture thereof, and X is a halide …

Implementation Of A Novel Inertial Mass System And Comparison To Existing Mass-Rig Systems For Shake Table Experiments, Alvaro Lopez, Peter Dusicka

Civil and Environmental Engineering Faculty Publications and Presentations

Shake table testing is one of the more effective experimental approaches used to study and evaluate seismic performance of structures. Reduced-scale models can still result in large-scale specimens where incorporating the required inertial mass effectively and safely can be challenging. This study proposes a new system of arranging the mass in the experiments that combines the realism of mass participation during earthquake excitation when supported by the shake table with laboratory practicality considerations of the mass positioned off the specimen. The characteristics and dynamic motion equations for the proposed system are described and applied to shake table experiments involving large-scale …

Computational Analysis Of High Carbon Steel For Optimal Design, Muhammad Zubair, Aneela Wakeel, M. Mustafa Azeem, Aneeqa Tabbassum

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

To increase the reliability of materials the computational analysis has been considered a vital tool for designing the components in the mechanical and nuclear engineering. By increasing a high percentage of carbon in liquid steel subsequently enhance the hardness, elasticity and toughness of the materials. In this research high carbon steel has been used due to its wear resistance properties in order to increasing hardness and strength. The findings of this research reveal the high carbon steel a good replacement material for conventional iron due to its low weight. Modeling and analysis of the steel, metallic glass and high carbon …

Optimization Of A Customized Leadership Development Program Upskilling English Language Fluency In Brazil Aviation Leaders, Robin A. Roberts

Publications

Objective: The present study explored how a customized leadership development program (LDP) with coursework taught in English to non-native English speakers could optimize English language fluency in Brazil airline leaders.

Background: Currently, problems exist with a myriad of native language accents and phraseology interfering with cognitive reflexes especially for aircrews and air traffic controllers to safely do their work. Executives from four Brazilian airlines proactively implemented a 14-month LDP focused on English language fluency and leadership enhancements collectively for leaders within their firms.

Method: Blended learning as proposed by the International Civil Aviation Organization provided the experiential …

Gas Measurement Device, Megan C. Frost, Weilue He

Michigan Tech Patents

A device including a first chamber, a second chamber, and a membrane permeable to neutral gases but impermeable to water that is positioned between the first chamber and the second chamber. The membrane includes a first layer including PVDF and PDMS, and the PVDF has a plurality of pores at least partially filled with at least some of the PDMS.

College Of Engineering News, Georgia Southern University

College of Engineering & Computing: News & Publications (2010-2023)

• Georgia Southern realizes goal of new Engineering and Research Building to equip students, researchers and industry

• Virtual Industry Expo a big success for Georgia Southern University engineering and computing students

Price Optimization For Revenue Maximization At Scale, Nikhil Gupta, Massimiliano Moro, Kailey A. Ayala, Bivin Sadler

SMU Data Science Review

This study presents a novel approach to price optimization in order to maximize revenue for the distribution market of non-perishable products. Data analysis techniques such as association mining, statistical modeling, machine learning, and an automated machine learning platform are used to forecast the demand for products considering the impact of pricing. The techniques used allow for accurate modeling of the customer’s buying patterns including cross effects such as cannibalization and the halo effect. This study uses data from 2013 to 2019 for Super Premium Whiskey from a large distributor of alcoholic beverages. The expected demand and the ideal pricing strategy …

Bert For Question Answering On Bioasq, Eric R. Fu, Rikel Djoko, Maysam Mansor, Robert Slater

SMU Data Science Review

Machine reading comprehension and question answering are topics of considerable focus in the field of Natural Language Processing (NLP). In recent years, language models like Bidirectional Encoder Representations from Transformers (BERT) [3] have been very successful in language related tasks like question answering. The difficulty of the question answering task lies in developing accurate representations of language and being able to produce answers for questions. In this study, the focus is to investigate how to train and fine tune a BERT model to improve its performance on BioASQ, a challenge on large scale biomedical question answering. Our most accurate BERT …

Clinical Evaluation Of Respiratory Rate Measurements On Copd (Male) Patients Using Wearable Inkjet-Printed Sensor, Ala'aldeen Al-Halhouli, Loiy Al-Ghussain, Osama Khallouf, Alexander Rabadi, Jafar Alawadi, Haipeng Liu, Khaled Al Oweidat, Fei Chen, Dingchang Zheng

Mechanical Engineering Graduate Research

Introduction: Chronic Obstructive Pulmonary Disease (COPD) is a progressive disease that causes long-term breathing problems. The reliable monitoring of respiratory rate (RR) is very important for the treatment and management of COPD. Based on inkjet printing technology, we have developed a stretchable and wearable sensor that can accurately measure RR on normal subjects. Currently, there is a lack of comprehensive evaluation of stretchable sensors in the monitoring of RR on COPD patients. We aimed to investigate the measurement accuracy of our sensor on COPD patients. Methodology: Thirty-five patients (Mean ± SD of age: 55.25 ± 13.76 years) in different stages …

Ultrafast Thermal Modification Of Strong Coupling In An Organic Microcavity, Bin Liu, Vinod M. Menon, Matthew Y. Sfeir

Advanced Science Research Center

There is growing interest in using strongly coupled organic microcavities to tune molecular dynamics, including the electronic and vibrational properties of molecules. However, very little attention has been paid to the utility of cavity polaritons as sensors for out-of-equilibrium phenomena, including thermal excitations. Here, we demonstrate that non-resonant infrared excitation of an organic microcavity system induces a transient response in the visible spectral range near the cavity polariton resonances. We show how these optical responses can be understood in terms of ultrafast heating of electrons in the metal cavity mirror, which modifies the effective refractive index and subsequently the strong …

First-Order Comprehensive Adjoint Sensitivity Analysis Methodology For Critical Points In Coupled Nonlinear Systems. I: Mathematical Framework, Dan Gabriel Cacuci

Faculty Publications

This work presents the novel first-order comprehensive adjoint sensitivity analysis methodology for critical points (1st-CASAM-CP), which enables the exact and efficient computation of the first-order sensitivities of responses defined at critical points (maxima, minima, saddle points) of coupled nonlinear models of physical systems characterized by imprecisely known parameters underlying the models, boundaries, and interfaces between the coupled systems. Responses defined at critical points are important in many applications, including system optimization, safety analyses and licensing. For the design and licensing of nuclear reactors, such essentially important responses include the maximum temperatures of the fuel and cladding in hot channels. The …

First-Order Comprehensive Adjoint Sensitivity Analysis Methodology For Critical Points In Coupled Nonlinear Systems. Ii: Application To A Nuclear Reactor Thermal-Hydraulics Safety Benchmark, Dan Gabriel Cacuci

Faculty Publications

Responses defined at critical points are particularly important for reactor safety analyses and licensing (e.g., the maximum fuel and/or clad temperature). The novel mathematical framework of the first-order comprehensive adjoint sensitivity analysis methodology for critical points (1st-CASAM-CP) is applied in this work to develop a reactor safety thermal-hydraulics benchmark model which admits exact closed-form expressions for the adjoint functions and for the first-order sensitivities of responses defined at critical points (maxima, minima, saddle points) in physical systems characterized by imprecisely known parameters, external and internal boundaries. This benchmark model is designed for verifying the capabilities and accuracies of computational tools …

Liposomal Delivery Of Remdesivir For Localized And Targeted Treatment Of Covid-19, Anupama Melam

McKelvey School of Engineering Graduate Student Theses & Dissertations

Liposomal delivery of Remdesivir for localized and targeted treatment of COVID-19

COVID-19 is a serious, and in many cases lethal, disease that is caused by infection of the upper respiratory tract by the novel betacoronavirus, SARS-Cov-2 virus. This disease has a very high mortality rate and has affected the world in a global pandemic. SARS-Cov-2 binds to the ACE2 receptor via the receptor-binding domain (RBD) in the S protein. After this, the virus fuses with the cell membrane by the formation of a six-helix bundle. Thus, the S protein plays a major role in ensuring that the virus attaches to …

A Literature Survey And Bibliometric Analysis Of Application Of Artificial Intelligence Techniques On Wireless Mesh Networks, Smita R. Mahajan Mrs., Harikrishnan R Dr., Ketan Kotecha Dr.

Library Philosophy and Practice (e-journal)

Recent years have seen a surge in the use of technology for executing transactions in both online and offline modes. Various industries like banking, e-commerce, and private organizations use networks for the exchange of confidential information and resources. Network security is thus of utmost importance, with the expectation of effective and efficient analysis of the network traffic. Wireless Mesh Networks are effective in communicating information over a vast span with minimal costs. A network is evaluated based on its security, accessibility, and extent of interoperability. Artificial Intelligence techniques like machine learning and deep learning have found widespread use to solve …

Examining The Modelling Capabilities Of Defeasible Argumentation And Non-Monotonic Fuzzy Reasoning, Luca Longo, Lucas Rizzo, Pierpaolo Dondio

Articles

Knowledge-representation and reasoning methods have been extensively researched within Artificial Intelligence. Among these, argumentation has emerged as an ideal paradigm for inference under uncertainty with conflicting knowledge. Its value has been predominantly demonstrated via analyses of the topological structure of graphs of arguments and its formal properties. However, limited research exists on the examination and comparison of its inferential capacity in real-world modelling tasks and against other knowledge-representation and non-monotonic reasoning methods. This study is focused on a novel comparison between defeasible argumentation and non-monotonic fuzzy reasoning when applied to the representation of the ill-defined construct of human mental workload …

Concrete Delamination Depth Estimation Using A Noncontact Mems Ultrasonic Sensor Array And An Optimization Approach, Homin Song, Jinyoung Hong, Hajin Choi, Jiyoung Min

Michigan Tech Publications, Part 1

In this study, we present a method to estimate the depth of near-surface shallow delamination in concrete using a noncontact micro-electromechanical system (MEMS) ultrasonic sensor array and an optimization-based data processing approach. The proposed approach updates the bulk wave velocities of the tested concrete element by solving an optimization problem using reference ultrasonic scanning data collected from a full-depth concrete region. Subsequently, the depth of concrete delamination is estimated by solving a separate optimization problem. Numerical simulations and laboratory experiments were conducted to evaluate the performance of the proposed ultrasonic data processing approach. The results demonstrated that the depth of …

Can The Timeframe Of Reported Uas Sightings Help Regulators?, Spencer Erik Pitcher, Kelly A. Whealan-George

Beyond: Undergraduate Research Journal

Remotely controlled small aircraft, otherwise known as Unmanned Aircraft Systems (UAS) or drones have started to impact the United States National Airspace System by interfering with the safe flight of aircraft. As the UAS industry continues its expected growth into the future, lawmakers, as well as regulators at the Federal Aviation Administration (FAA) and the aviation community must be able to predict when there will be more UAS craft in the air that could cause an interruption to air traffic so that more resources can be allocated optimally to counter the threat of UAS craft. The purpose of this study …

Optimal Tracking Current Control Of Switched Reluctance Motor Drives Using Reinforcement Q-Learning Scheduling, Hamad Alharkan, Sepehr Saadatmand, Mehdi Ferdowsi, Pourya Shamsi

Electrical and Computer Engineering Faculty Research & Creative Works

In this article, a novel Q-learning scheduling method for the current controller of a switched reluctance motor (SRM) drive is investigated. The Q-learning algorithm is a class of reinforcement learning approaches that can find the best forward-in-time solution of a linear control problem. An augmented system is constructed based on the reference current signal and the SRM model to allow for solving the algebraic Riccati equation of the current-tracking problem. This article introduces a new scheduled-Q-learning algorithm that utilizes a table of Q-cores that lies on the nonlinear surface of an SRM model without involving any information about the model …

Effects Of Racing Surface And Turn Radius On Fatal Limb Fractures In Thoroughbred Racehorses, Michael L. Peterson, Wayne T. Sanderson, Nurlan Kussainov, Sarah Jane Hobbs, Patti Miles, Mary C. Scollay, Hilary M. Clayton

Biosystems and Agricultural Engineering Faculty Publications

North American Thoroughbred racing is conducted on three types of surfaces—dirt, turf, and synthetic. The tracks are oval, and races are run counterclockwise. The loading on right and left limbs is expected to differ as a function of turn radius, banking, surface, and gait asymmetry. Hind limbs and forelimbs also have different functions related to propulsion and turning, respectively. This study uses the Equine Injury Database for race starts from 1 January 2009 through 31 December 2014, to compare injury rates across participating North American racetracks. The data are limited to catastrophic injuries in which horses died or were euthanized …

Corrosion Protective Film Formation On Mg Alloys Az 31 By Exposure To Dilute Selenite Solutions, Zhiyuan Feng, Charles C. Xu, Dadi Zhang, Rudolph Buchheit

Chemical and Materials Engineering Faculty Publications

The study of protective film formation on Mg alloys by exposure to sodium selenite solutions was conducted. Anodic polarization studies, electrochemical impedance spectroscopy studies, morphological analysis, and Energy-dispersive X-ray spectroscopy were performed on AZ31 Mg alloy after coating treatment in different concentrations of sodium selenite. The corrosion resistance was improved by around 5 times compared with control. Improved resistance to localized corrosion was observed in the coatings treated by 5 mM or 10 mM sodium selenite. The protection mechanism was ascribed to the transformation of selenite to insoluble selenium, the formation of insoluble MgSeO₃ hydrate, and polymerization of amorphous …

Upshot Of Heterogeneous Catalysis In A Nanofluid Flow Over A Rotating Disk With Slip Effects And Entropy Optimization Analysis, Muhammad Ramzan, Saima Riasat, Jae Dong Chung, Yu-Ming Chu, M. Sheikholeslami, Seifedine Kadry, Fares Howari

All Works

The present study examines homogeneous (HOM)–heterogeneous (HET) reaction in magnetohydrodynamic flow through a porous media on the surface of a rotating disk. Preceding investigations mainly concentrated on the catalysis for the rotating disk; we modeled the impact of HET catalysis in a permeable media over a rotating disk with slip condition at the boundary. The HOM reaction is followed by isothermal cubic autocatalysis, however, the HET reactions occur on the surface governed by first-order kinetics. Additionally, entropy minimization analysis is also conducted for the envisioned mathematical model. The similarity transformations are employed to convert the envisaged model into a non-dimensional …

Numerical Analysis Of Ultrasonic Multiple Scattering For Fine Dust Number Density Estimation, Homin Song, Ukyong Woo, Hajin Choi

Michigan Tech Publications, Part 1

In this study, a method is presented for estimating the number density of fine dust particles (the number of particles per unit area) through numerical simulations of multiply scattered ultrasonic wavefields. The theoretical background of the multiple scattering of ultrasonic waves under different regimes is introduced. A series of numerical simulations were performed to generate multiply scattered ultrasonic wavefield data. The generated datasets are subsequently processed using an ultrasound data processing approach to estimate the number density of fine dust particles in the air based on the independent scattering approximation theory. The data processing results demonstrate that the proposed approach …

Special Issue On Professor John M. Tarbell’S Contribution To Cardiovascular Engineering, Hanjoong Jo, Keefe Manning, John M. Tarbell

Publications and Research

No abstract provided.

Stabilizing Liquid Drops In Nonequilibrium Shapes By The Interfacial Crosslinking Of Nanoparticles, Mohd A. Kahn, Martin F. Haase

Henry M. Rowan College of Engineering Departmental Research

Droplets are spherical due to the principle of interfacial energy minimization. Here, we show that nonequilibrium droplet shapes can be stabilized via the interfacial self-assembly and crosslinking of nanoparticles. This principle allows for the stability of practically infinitely long liquid tubules and monodisperse cylindrical droplets. Droplets of oil-in-water are elongated via gravitational or hydrodynamic forces at a reduced interfacial tension. Silica nanoparticles self-assemble and cross-link on the interface triggered by the synergistic surface modification with hexyltrimethylammonium- and trivalent lanthanum-cations. The droplet length dependence is described by a scaling relationship and the rate of nanoparticle deposition on the droplets is estimated. …

Investigating The Use Of An Adaptive Neuro-Fuzzy Inferencesystem In Software Development Effort Estimation, Zainab Rustum Mohsin

Iraqi Journal for Computer Science and Mathematics

Modeling software development effort estimation models has been a hot research topic over the lastthree decades. Numerous models were proposed in these decades to predict the effort. The key challenges for futuresoftware development is providing accurate software estimation. Failure to acknowledge the accuracy of effortestimation can cause inaccurate estimation, customer disappointment, and poor software development or projectfailure. This research presents a novel computational technique, named adaptive neuro-fuzzy inference system(ANFIS), for the modeling of software effort estimation. It was developed utilizing the Constructive Cost Model(COCOMO) dataset. The data were randomly divided into two sets: 83% for training and 17% for testing. …

Proposed Method For Scale Drawing Calculating Depending On Theline Detector And Length Detector, Huda Dheyauldeen Najeeb, Rana Fareed Ghani

Iraqi Journal for Computer Science and Mathematics

A scale drawing is a significant tool in many fields such as geography, mathematics, and astronomyresearch as it has a variety of applications, including Google maps. A new way to benefit from the scale drawing insoccer image is presented in this paper. When the distance of the camera is uncertain, the scale drawing can be usedto determine the relationship between the ball and players to estimate the ball size and determine the zooms in andout.The scale drawing and factor are used in architecture and image processing. After calculating the scale factor, thelength of every part or line in the image …

Hamiltonian-Based Libration Point Orbit Control On Manifold Of Constant Energy, Keum W. Lee, Sahjendra N. Singh

Electrical & Computer Engineering Faculty Research

© 2021, Springer Nature Switzerland AG. The circular restricted three-body problem (CR3BP) is important from the theoretical as well as a practical viewpoint. In this paper, the objective is to control a spacecraft along stable or unstable libration point orbits. For this purpose, a manifold of constant energy is specified. Then, a Hamiltonian-based state variable feedback control law is designed for regulating the spacecraft to attain the specified level of energy. Through the Lyapunov analysis, asymptotic convergence of the system energy to prescribed level is established. For this multi-dimensional constant energy manifold, a variety of periodic and quasi-periodic libration point …