Engineering Commons^™

Machine Learning Techniques For Credit Card Fraud Detection, Hossam Eldin Mohammed Abd El-Hamid Ahmed Abdou, Wael Khalifa, Mohamed Ismail Roushdy, Abdel-Badeeh M. Salem

Future Computing and Informatics Journal

The term “fraud”, it always concerned about credit card fraud in our minds. And after the significant increase in the transactions of credit card, the fraud of credit card increased extremely in last years. So the fraud detection should include surveillance of the spending attitude for the person/customer to the determination, avoidance, and detection of unwanted behavior. Because the credit card is the most payment predominant way for the online and regular purchasing, the credit card fraud raises highly. The Fraud detection is not only concerned with capturing of the fraudulent practices, but also, discover it as fast as they …

Proposed Framework For Smart Healthcare Services, Dalia K. A. A. Rizk, Hoda Hosny Prof. Dr., El-Sayed M. El-Horbaty Prof. Dr., Abdel-Badeeh M. Salem Prof. Dr.

Future Computing and Informatics Journal

Smart healthcare is of great interest to researchers and governments due to the increasing development of new smart cities. However, there is no current standard practice to format the cloud computing infrastructure and to assist the healthcare system architect in designing a comprehensive solution for the basic services that are required by the healthcare users while taking into consideration a balanced approach towards their specific functional and non-functional needs such as openness, scalability, concurrency, interoperability and security factors. The integration of smart healthcare services with cloud computing needs a concrete framework. The main objective of this paper is to analyze …

Intelligent Technique For Automating The Conversion Between Major And Minor Melodies, Nermin N. J. Siphocly, El-Sayed M. El-Horbaty, Abd El-Badea Mohamed Salem Prof

Future Computing and Informatics Journal

Nowadays, computers are extremely beneficial to music composers. Computer music generation tools are developed for aiding composers in producing satisfying musical pieces. The automation of music composition tasks is a challenging research point, specially to the field of Artificial Intelligence. Converting melodies that are played on a major scale to minor (or vice versa) is interesting to both composers and music listeners. Newly converted melodies of famous songs, either from major to minor or the opposite, are becoming blockbusters on the social media. In this paper we propose an intelligent method for automating the conversion between major and minor melodies …

Ontological Engineering For Source Code Generation, Anas Hamid Aloklah, Walaa Gad, Mostafa Mohamed Aref Prof, Abd El-Badea Mohamed Salem Prof

Future Computing and Informatics Journal

Source Code Generation (SCG) is the sub-domain of the Automatic Programming (AP) that helps programmers to program using high-level abstraction. Recently, many researchers investigated many techniques to access SCG. The problem is to use the appropriate technique to generate the source code due to its purposes and the inputs. This paper introduces a review and an analysis related SCG techniques. Moreover, comparisons are presented for: techniques mapping, Natural Language Processing (NLP), knowledge base, ontology, Specification Configuration Template (SCT) model and deep learning

Advancing Transportation Routing Decisions Using Riemannian Manifold Surfaces, Emre Tokgöz, Iddrisu Awudu, Saravanan Kuppusamy

Rohrer College of Business Departmental Research

We consider several real-world driving factors such as the time spent at traffic signs (e.g., yield signs and stop signs), speed limits, and the topology of the surface to develop realistic and accurate routing solutions. Though these factors increase the complexity of modeling, they provide the flexibility to evaluate the routing solutions from different perspectives: cost, distance, and time, to name a few. First, we develop a set of algorithms based on the Riemannian manifold surface (RMS) to factor in the Earth’s curvature to calculate distances. Second, we present a multiobjective, nonlinear, mixed-integer model (MINLP) that minimizes the distance traveled, …

Rare Earth-Bearing Particles In Fly Ash Carbons: Examples From The Combustion Of Eastern Kentucky Coals, James C. Hower, John G. Groppo Jr.

Center for Applied Energy Research Faculty and Staff Publications

Graphitic carbons from the combustion of bituminous coals and, perhaps, other coal ranks, tend to capture iron and a number of hazardous elements, including As, Hg, and Se. Rare earth elements in fly ashes occur in minerals, such as monazite, xenotime, and davidite. They also occur in sub-nm particles, probably in a mineral form, within the Al–Si glass on the investigated fly ashes. Just as graphitic carbons can capture Fe and hazardous elements, the carbons surrounding the fly ash glass and magnetic particles captures or encapsulates a broad suite of rare earth elements.

Approximate Pattern Matching Using Hierarchical Graph Construction And Sparse Distributed Representation, Aakanksha Mathuria

Dissertations and Theses

With recent developments in deep networks, there have been significant advances in visual object detection and recognition. However, some of these networks are still easily fooled/hacked and have shown "bag of features" kinds of failures. Some of this is due to the fact that even deep networks make only marginal use of the complex structure that exists in real-world images. Primate visual systems appear to capture the structure in images, but how?

In the research presented here, we are studying approaches for robust pattern matching using static, 2D Blocks World images based on graphical representations of the various components of …

Detecting Symptoms Of Chronic Obstructive Pulmonary Disease And Congestive Heart Failure Via Cough And Wheezing Sounds Using Smart-Phones And Machine Learning, Anthony Windmon

USF Tampa Graduate Theses and Dissertations

Chronic Obstructive Pulmonary Disease (COPD) and Congestive Heart Failure (CHF) are progressive disorders, and major health concerns among today’s aging population. COPD causes a large mucus buildup in the lungs, leading to chronic cough and difficulty to breathe. CHF causes fluid buildup in the lower lungs due to the failing heart, causing cough and difficulty to breath. People who are clinically diagnosed with COPD or CHF are expected to regularly monitor their symptoms and follow complex medical recommendations in an effort to prevent exacerbation. In this dissertation, we elaborate upon three different machine learning based techniques that we developed for …

Evaluating The Effectiveness Of The Pedestrian Safety Intervention Program: Behavioral And Observational Approach, Deep Patel

Theses and Dissertations

Pedestrians are considered as the most vulnerable road users. On a nationwide scale, according to the National Highway Traffic Safety Administration, there were 6,075 pedestrian fatalities and more than 85,000 pedestrian injuries as a result of traffic crashes in 2017. This study provides national and state pedestrian fatality statistics, a systematic literature review of pedestrian injury severity, observational (video-based) & behavioral (survey-based) evaluation of the Street-Smart NJ pedestrian safety intervention campaign. Street-Smart NJ is a public education, awareness, and behavioral change campaign program that aims to improve pedestrian safety by increasing awareness of pedestrian safety risks and improving compliance with …

Sonoporation-Mediated Loading Of Trehalose In Cells For Cryopreservation., Charles W. Shaffer Iv, David F. Grimm, Michael A. Menze, Jonathan A. Kopechek

Undergraduate Research Events

Trehalose, a non-reducing disaccharide, is present in many microorganisms and metazoans. In these organisms, trehalose acts as a stress protectant and helps preserve lipid membranes of cells during states of desiccation and freezing. Trehalose is required on both sides of the cell membrane to achieve a significant cryoprotective effect. Specific loading methods for trehalose are required since this sugar is impermeant to mammalian cells. Trehalose loading in mammalian cells has been achieved by fluid-phase endocytosis and genetic modification for the expression of trehalose transporters, however cryoprotective outcomes are unable to compete with established methods of cryopreservation for mammalian cells. Sonoporation …

Chess As A Testing Grounds For The Oracle Approach To Ai Safety, James D. Miller, Roman Yampolskiy, Olle Häggström, Stuart Armstrong

Faculty and Staff Scholarship

To reduce the danger of powerful super-intelligent AIs, we might make the first such AIs oracles that can only send and receive messages. This paper proposes a possibly practical means of using machine learning to create two classes of narrow AI oracles that would provide chess advice: those aligned with the player's interest, and those that want the player to lose and give deceptively bad advice. The player would be uncertain which type of oracle it was interacting with. As the oracles would be vastly more intelligent than the player in the domain of chess, experience with these oracles might …

Benefits Of Including Sae Bolts, Nuts, And Washers In The Aisi Standard S100, Patrick Bodwell, Perry S. Green

American Iron and Steel Institute (AISI) Specifications, Standards, Manuals and Research Reports (1946 - present)

The addition of SAE J429 bolts along with their associated nuts and washers into the AISI STANDARD S100, North American Specification for the Design of Cold-Formed Members, would be a significant enhancement to the specification by providing practitioners the opportunity to use a broader range of fasteners for the design of cold-formed steel structures. The design of bolted connections using SAE J429 bolts would be advantageous for many types of structures including mechanical support structures, storage rack systems, photovoltaic support structures, carport structures, and conventional repetitive frame structures that all utilize cold-formed steel members. These structures would benefit by having …

3d Interdigitated Vertically Aligned Carbon Nanotube Electrodes For Electrochemical Impedimetric Biosensing, Benjamin J. Brownlee, Jonathan C. Claussen, Brian D. Iverson

Faculty Publications

Advances in nanomaterials, combined with electrochemical impedance spectroscopy (EIS), have allowed electrochemical biosensors to have high sensitivity while remaining labe-lfree, enabling the potential for portable diagnosis at the point-of-care. We report porous, 3D vertically aligned carbon nanotube (VACNT) electrodes with underlying chromium electrical leads for impedance-based biosensing. The electrodes are characterized by electrode height (5, 25, and 80 μm), gap width (15 and 25 μm), and geometry (interdigitated and serpentine) using scanning electron microscopy, cyclic voltammetry, and EIS. The protein streptavidin is functionalized onto VACNT electrodes for detection of biotin, as confirmed by fluorescence microscopy. EIS is used to measure …

Application Of Satellite Remote Sensing In Monitoring Elevated Internal Temperatures Of Landfills, Rouzbeh Nazari, Husam Alfergani, Francis M. Haas, Maryam E. Karimi, Md Golam Rabbani Fahad, Samain Sabrin, Jess Everett, Nidhal Carla Bouaynaya, Robert W. Peters

Henry M. Rowan College of Engineering Departmental Research

Subsurface fires and smoldering events at landfills can present serious health hazards and threats to the environment. These fires are much more costly and difficult to extinguish than open fires at the landfill surface. The initiation of a subsurface fire may go unnoticed for a long period of time and undetected fires may spread over a large area. Unfortunately, not all landfill operators keep or publish heat elevation data and many landfills are not equipped with a landfill gas extraction system to control subsurface temperatures generated from the chemical reactions within. The timely and cost-effective identification of subsurface fires is …

Survey Of Dc-Dc Non-Isolated Topologies For Unidirectional Power Flow In Fuel Cell Vehicles, Mahajan Sagar Bhaskar, Vigna K. Ramachandaramurthy, Sanjeevikumar Padmanaban, Frede Blaabjerg, Dan M. Ionel, Massimo Mitolo, Dhafer Almakhles

Power and Energy Institute of Kentucky Faculty Publications

The automobile companies are focusing on recent technologies such as growing Hydrogen (H2) and Fuel Cell (FC) Vehicular Power Train (VPT) to improve the Tank-To-Wheel (TTW) efficiency. Benefits, the lower cost, `Eco' friendly, zero-emission and high-power capacity, etc. In the power train of fuel cell vehicles, the DC-DC power converters play a vital role to boost the fuel cell stack voltage. Hence, satisfy the demand of the motor and transmission in the vehicles. Several DC-DC converter topologies have proposed for various vehicular applications like fuel cell, battery, and renewable energy fed hybrid vehicles etc. Most cases, the DC-DC power converters …

Indoor Air Quality Impacts Of A Woodstove Exchange Program In Washington County, Oregon, Matthew Forrest Survilo

Dissertations and Theses

More than six million people in the United States use wood stoves as their primary heat source. Wood stoves emit air pollutants that may impact health, e.g., wood combustion products are associated with premature death and aggravation of pulmonary and cardiovascular conditions. There are few studies investigating the efficacy of wood stove exchange programs (WSEPs) as a method to improve indoor air quality (IAQ). In partnership with Washington County Department of Health and Human Services we conducted an air quality study to measure the impact of a WSEP on indoor and neighborhood levels of wood combustion products. Twenty households engaged …

An Explainable And Statistically Validated Ensemble Clustering Model Applied To The Identification Of Traumatic Brain Injury Subgroups, Dacosta Yeboah, Louis Steinmeister, Daniel B. Hier, Bassam Hadi, Donald C. Wunsch, Gayla R. Olbricht, Tayo Obafemi-Ajayi

Electrical and Computer Engineering Faculty Research & Creative Works

We present a framework for an explainable and statistically validated ensemble clustering model applied to Traumatic Brain Injury (TBI). The objective of our analysis is to identify patient injury severity subgroups and key phenotypes that delineate these subgroups using varied clinical and computed tomography data. Explainable and statistically-validated models are essential because a data-driven identification of subgroups is an inherently multidisciplinary undertaking. In our case, this procedure yielded six distinct patient subgroups with respect to mechanism of injury, severity of presentation, anatomy, psychometric, and functional outcome. This framework for ensemble cluster analysis fully integrates statistical methods at several stages of …

Single‐Molecule 3d Orientation Imaging Reveals Nanoscale Compositional Heterogeneity In Lipid Membranes, Jin Lu, Hesam Mazidi, Tianben Ding, Oumeng Zhang, Matthew D. Lew

Electrical & Systems Engineering Publications and Presentations

In soft matter, thermal energy causes molecules to continuously translate and rotate, even in crowded environments, thereby impacting the spatial organization and function of most molecular assemblies, such as lipid membranes. Directly measuring the orientation and spatial organization of large collections (>3000 molecules μm⁻²) of single molecules with nanoscale resolution remains elusive. In this paper, we utilize SMOLM, single‐molecule orientation localization microscopy, to directly measure the orientation spectra (3D orientation plus “wobble”) of lipophilic probes transiently bound to lipid membranes, revealing that Nile red's (NR) orientation spectra are extremely sensitive to membrane chemical composition. SMOLM images resolve …

Hexacyanoferrate-Based Nanocomposites For The Electrochemical Sensing Of Hydrogen Peroxide And Nicotine, Lee Pui Kee

Student Works (2020-2029)

Metal hexacyanoferrate (MeHCF) is a unique material that not only acquired immense research interest in electrochemical sensing field but also possesses potential as energy storage material. As such, the present thesis sought to investigate the facile method to synthesis MeHCF-based nanocomposites and explore its possible applications. First, comparative research on the synthesis of Prussian blue-polypyrrole (PB-PPy) nanocomposite by novel self-assembly (SA) method and conventional electrodeposition technique was performed. PB-PPy nanocomposites were prepared by the novel self-assembly method and via the electrodeposition approach. The nanocomposites were compared in term of surface morphology and its electrochemical and electrocatalytic characteristics. The results indicated …

Factors Affecting Brittleness Behavior Of Coal-Gangue Ceramsite Lightweight Aggregate Concrete, Yunsen Wang, Jingping Qiu, Wen Deng, Jun Xing, Jian Liang

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Coal gangue, which is the solid waste produced during the coal processing, causes serious environmental problems. Lightweight concrete by making use of the coal-gangue ceramsite as the aggregate has many advantages as the construction material. However, the high brittleness of lightweight aggregate concrete is one of the problems for its application in building infrastructure. In this paper, the variation regularity, influencing factors and reinforcing/toughening method were studied as the reference data for future practical applications of coal-gangue ceramsite lightweight aggregate concrete (CGCLWAC). The results show that the brittleness of CGCLWAC increases with age, but the rate of the increase of …

Anti-Collision Planning Optimization In Directional Wells, Abdulrahman Mohamed

Petroleum Engineering and Gas

One of the most application of the directional drilling is drilling multiple wells from one location or platform. In drilling multiple wells from one location the major problem that faced is avoiding the collision with the offset wells that drilled near the proposed well in the same region. Therefore, the potential of collison between the wells can cause severe catastrophic accidents such as an explosion or oil spill. Several measurements of proximity calculation or methods have been adopted to control the distance between the wells, avoid the collison, increasing the clearance along with smoothing the trajectory, Reducing the drilling time …

Unmanned Aerial System Integrated Sensor For Remote Gamma And Neutron Monitoring, Alexander Barzilov, Monia Kazemeini

Mechanical Engineering Faculty Research

Tools for remote radiation sensing are essential for environmental safety and nuclear power applications. The use of unmanned aerial systems (UASs) equipped with sensors allows for substantially reducing the radiation exposure of personnel. An ambient temperature Cs2LiYCl6:Ce3+ (CLYC) elpasolite scintillation sensor for simultaneous gamma and neutron measurements was designed as a user-friendly “plug and fly” module integrated into an octocopter robotic platform. Robot Operating System (ROS) was used to analyze the sensor’s data. The measured CLYC’s energy resolution was < 5% at 662 keV gamma rays; neutron flux was measured using6Li(n,α)t reaction. Time and GPS data were combined with radiation data in the ROS, supporting real time monitoring and assessment tasks, as well as radiation source search missions. Because UASs can be irradiated, radiation damage of the sensor and robot’s electronics was estimated using FLUKA code.

An Algorithm For Adaptive Determination Of Radar Coherent Integration Time, Jakob Delong, Joel T. Johnson

Electrical and Computer Engineering Faculty Research & Creative Works

A method for adaptively determining a desirable coherent integration time for radar observations of a moving clutter target is examined. A signal model appropriate for such measurements is first defined, along with an approach for estimating the coherence time from measured data. This coherence time estimate is then used as the coherent integration time in a reprocessing of the measured data. Simulations are shown that illustrate the potential advantages of this approach in reducing the variance of the clutter power estimate, particularly at low clutter to noise ratios, as compared to a purely incoherent integration. However, the initial correlation time …

Evaluation Of Impact Of Fiber Type And Dosage Rate On Volumetrics And Laboratory Performance Of Asphalt Mixtures, Ahmad G. M. Alfalah

Theses and Dissertations

The purpose of this study is to evaluate the impact of fiber types, binder content, and dosage rates on the volumetric properties and laboratory performance of asphalt mixtures. One asphalt mixture (control) and four fiber types (Fiberglass, Basalt, Carbon, and Polyolefin/Aramid) were used to evaluate the impact of fiber types and dosage rates. Two mixing procedures for introducing fibers into asphalt mixtures were also evaluated: dry and proportional dispersion methods. To evaluate the impact of fiber types, 0.16% by total mix weight was used. Rutting, cracking, and durability performance tests were evaluated. Furthermore, using 0.15% and 0.3% fiber dosage rates, …

3d-Printed Leg Design And Modification For Improved Support On A Quadruped Robot, Jasmin S. Collins

Maseeh Summer Undergraduate Research Experience

The Agile and Adaptive Robotics Lab aims to uncover the biological and physiological complexities in animal agility and adaptive control, which can be replicated through robotics and provide further applications in biology and medicine. One project within the lab focuses on understanding structure, actuation, and control through the modeling of a canine quadruped robot.

The AARL has developed a full-body quadruped robot with artificial muscles that control limb movement and a body that is built from 3D-printed parts. This specific project involved modification of these existing parts to (a) minimize deflections in the front legs, causing unwanted lateral and abduction/adduction …

Towards Distributed Recycling With Additive Manufacturing Of Pet Flake Feedstocks, Helen A. Little, Nagendra Gautam Tanikella, Matthew J. Reich, Matthew J. Fiedler, Samantha L. Snabes, Joshua M. Pearce

Michigan Tech Publications, Part 1

This study explores the potential to reach a circular economy for post-consumer Recycled Polyethylene Terephthalate (rPET) packaging and bottles by using it as a Distributed Recycling for Additive Manufacturing (DRAM) feedstock. Specifically, for the first time, rPET water bottle flake is processed using only an open source toolchain with Fused Particle Fabrication (FPF) or Fused Granular Fabrication (FGF) processing rather than first converting it to filament. In this study, first the impact of granulation, sifting, and heating (and their sequential combination) is quantified on the shape and size distribution of the rPET flakes. Then 3D printing tests were performed on …

Elementary Teachers’ Mental Images Of Engineers At Work, Rebekah Hammack, Juliana Utley, Toni Ivey, Karen High

Journal of Pre-College Engineering Education Research (J-PEER)

The purpose of the current study was to determine the impacts of a multiple-day engineering-focused professional development program on elementary teachers’ perceptions of the work of engineers and their use of mathematics and science. Data were collected in the form of drawings of engineers prior to and immediately after the professional development program as well as an open-ended exit survey at the end of the program. Participants’ drawings were scored in the following areas: use of mathematics, use of science, and work of an engineer. Wilcoxon signed-rank tests revealed that the only significant change between measures was in ‘‘work of …

Additively Manufactured Parametric Universal Clip-System: An Open Source Approach For Aiding Personal Exposure Easurement In The Breathing Zone, Kirsi Kukko, Jan Sher Akmal, Anneli Kangas, Mika Salmi, Roy Björkstrand, Anna-Kaisa Viitanen, Jouni Partanen, Joshua M. Pearce

Michigan Tech Publications, Part 1

Design for additive manufacturing is adopted to help solve problems inherent to attaching active personal sampler systems to workers for monitoring their breathing zone. A novel and parametric 3D printable clip system was designed with an open source Computer-aided design (CAD) system and was additively manufactured. The concept was first tested with a simple clip design, and when it was found to be functional, the ability of the innovative and open source design to be extended to other applications was demonstrated by designing another tooling system. The clip system was tested for mechanical stress test to establish a minimum lifetime …

Global Convergence Of Covid-19 Basic Reproduction Number And Estimation From Early-Time Sir Dynamics, Gabriel G. Katul, Asaad Mrad, Sara Bonetti, Gabriele Manolia, Anthony J. Parolari

Civil and Environmental Engineering Faculty Research and Publications

The SIR (‘susceptible-infectious-recovered’) formulation is used to uncover the generic spread mechanisms observed by COVID-19 dynamics globally, especially in the early phases of infectious spread. During this early period, potential controls were not effectively put in place or enforced in many countries. Hence, the early phases of COVID-19 spread in countries where controls were weak offer a unique perspective on the ensemble-behavior of COVID-19 basic reproduction number inferred from SIR formulation. The work here shows that there is global convergence (i.e., across many nations) to an uncontrolled R_o=4.5 that describes the early time spread of COVID-19. This value …

The Importance Of Collaborative Design For Narrowing The Gender Gap In Engineering: An Analysis Of Engineering Identity Development In Elementary Students, Mandy Mclean, Jasmine M. Nation, Alexis Spina, Tyler Susko, Danielle Harlow, Julie Bianchini

Journal of Pre-College Engineering Education Research (J-PEER)

Research suggests that, to narrow the gender gap in engineering, we should focus on helping young girls identify with engineering both because gendered attitudes emerge around kindergarten and because identity is more predictive than performance on persistence in the field. This qualitative study sought to understand the impact of collaborative engineering design on the development of engineering identities in elementary-school students and compared the findings across gender. We focused on three tiers of collaboration embedded into the engineering design process: peer groups, role models, and shared goals. More specifically, the elementary students worked in small teams and partnered with undergraduate …