Engineering Commons^™

An Elliptical Cover Problem In Drone Delivery Network Design And Its Solution Algorithms, Yanchao Liu

Industrial and Systems Engineering Faculty Research Publications

Given n demand points in a geographic area, the elliptical cover problem is to determine the location of p depots (anywhere in the area) so as to minimize the maximum distance of an economical delivery trip in which a delivery vehicle starts from the nearest depot to a demand point, visits the demand point and then returns to the second nearest depot to that demand point. We show that this problem is NP-hard, and adapt Cooper’s alternating locate-allocate heuristic to find locally optimal solutions for both the point-coverage and area-coverage scenarios. Experiments show that most locally optimal solutions perform similarly …

Advancements Of Autonomous Applications, Jessica Massey, Jeremy Evert

Student Research

This material is based upon work supported by the National Aeronautics and Space Administration under Grant Agreement No. 80NSSC20M0114 issued through Oklahoma Space Grant Consortium. This research is in support of the Fire Dawgs competition team for this year’s SpeedFest competition at Oklahoma State University. This NASA OK Space Grant Consortium funded competition team will compete in the Charlie Class, where an autonomous vehicle will navigate a course and put out a fire.

Robots and self-driving vehicles are useful, especially for hazardous jobs, such as firefighting. The use of high-tech sensing technology is a small part of how self-driving vehicles …

A Brief Literature Review For Machine Learning In Autonomous Robotic Navigation, Jake Biddy, Jeremy Evert

Student Research

Machine learning is becoming very popular in many technological aspects worldwide, including robotic applications. One of the unique aspects of using machine learning in robotics is that it no longer requires the user to program every situation. The robotic application will be able to learn and adapt from its mistakes. In most situations, robotics using machine learning is designed to fulfill a task better than a human could, and with the machine learning aspect, it can function at the highest level of efficiency and quality. However, creating a machine learning program requires extensive coding and programming knowledge that can be …

Design And Fabrication Of Aluminum Based Ws2 Nano-Composite Through Powder Metallurgy, Umida Ziyamuhamedov, M Wani

Technical science and innovation

In this research paper, experimental studies on the fabrication of Aluminum based metal matrix composites composed are presented. The Aluminum based metal matrix composite was developed with varying percentage of WS₂. Physical and mechanical properties were measured to assess the influence of addition of WS₂ on density and micro hardness of composite.

When Engine(S) Go Silent: Speed-To-Fly For Airplane And Glider Pilots, Nihad E. Daidzic

Aviation Department Publications

FAA Safety Webinar held at 9:00 CST on Saturday, April 15, 2022.

Relativistic Magnetron Powered By Electrons In A High-Energy State, Dmitrii Andreev

Electrical and Computer Engineering ETDs

A traditional relativistic magnetron is an efficient, high-power source of cm-wave radiation. Typically, a cathode sits inside the interaction region and produces a quickly expanding cathode plasma. However, rapid radial expansion leads to unwanted frequency drift and pulse shortening. Recently, researchers at Technion, in collaboration with the University of New Mexico, proposed to use a split cathode to form a low-energy “squeezed” state by injecting electrons externally into a potential well and squeezing them with a sufficiently strong magnetic field. Technion’s long-pulse experiments achieved a low-energy state, at the output power and efficiency comparable to a physical cathode inside the …

Study Of Methods For Developing Waste Lubricant Recovery, Sh T. Poyonov, S M. Turabdjanov

Technical science and innovation

The article provides analytical information on the study of methods of treatment of used engine oils. The issues of ecological safety of storage, processing and use of automobile waste are considered. The problems of ecological safety of application of lubricants are inseparable from utilization of OWS, which are currently one of the most common man-caused waste that negatively affects all objects of environment - atmosphere, soil and water. It has been shown that water pollution by waste oil accounts for 20% of total techno-genic pollution, or 60% of petroleum product pollution. The study determined that obtaining oils with characteristics superior …

A Model-Based Fault Diagnosis In Dynamic Systems Via Asynchronous Motors System Identification Or Testing, And Control Engineering Observers, Kenelt Pierre

USF Tampa Graduate Theses and Dissertations

Induction machines are the workhorse of many military and commercialtypes of equipment. They are asynchronous machines referred to in this dissertation as induction motors. They are widely used due to their reliability in Naval Unmanned Systems like Remotely Operated Vehicles (ROV), Unmanned Untethered Underwater Vehicles (UUV), Autonomous Undersea Vehicles (AUV), and platforms like Missiles and Satellites. These induction motors are mainly controlled using variable speed drive functions, i.e., thrusters, propellers, and actuators. Though they are very robust, to harness the full technical benefits of induction motors, state-of-the-art drivers or controllers must be used to control such motors.

In model-based fault …

Determination Of The Heating Time Constant For Root Crops, Z K. Ergasheva, Beraat Ozcelik

Technical science and innovation

Convective drying refers to one of the energy-intensive processes used in chemical, woodworking, food and other industries. Therefore, in modern conditions, when there is a growing shortage and an increase in energy tariffs, it is important to develop and apply new effective methods of drying wet materials in industrial production, create high-performance drying equipment, improve the operation of existing dryers, which will contribute to the rational use of natural resources, reduce the cost of finished products and increase the competitiveness of production. Root crops are plants in which nutrients are concentrated in tubers or roots. Jerusalem artichoke refers to sugar-containing …

The Effect Of Chitosan On The Surface Properties Of Cellulose-Based Paper Obtained From The Stem Of Flaxseed, E A. Egamberdiev, Y T. Ergashev, Kh Kh Khaydullaev, G Y. Akmalova, G R. Rakhmonberdiev

Technical science and innovation

This paper examines the effects of chitosan, starch, and polyvinyl alcohol (PVA) to improve the surface properties of cellulose-based paper obtained from local raw materials. The polymers are incorporated into the paper polythene by spraying. The results showed that the addition of chitosan to paper polythene, which is made of cellulose fibers, has an improvement in surface properties compared to the effect of other additives. The degree of exposure of starch coincided with the degree of exposure of chitosan, but it resulted in a decrease in the water absorption potential of the paper compared to chitosan at the same concentration. …

Current State And Ways Of Increasing The Efficiency Of Technologies For Isolating Water Influxes, A Karshiev, R Suleimanova, K Akhmedova, M Rakhmonkulov

Technical science and innovation

The results of the application of the technology of isolation of water inflows in the wells of the fields of the Mubarek Oil and Gas Production Department are presented. The efficiency is assessed and the problems of the applied technologies for isolation of water inflows are shown. The technical and economic efficiency of the technology for isolating water inflows in wells with collapse of the columns is shown. The flow rates of wells in the fields of the Mubarek oil and gas production department are decreasing due to an increase in the water cut of the produced product. At the …

Efficiency Of Functioning Of Intersections With High-Intensity Traffic And Pedestrian Flows, Aziz Ernazarov

Technical science and innovation

The article studies the interaction of traffic and pedestrian flows with high intensity at regulated intersections to improve the capacity of such intersections. To study the parameters of traffic flows, in particular, the length of traffic jams, a traffic flow model was used. To study the parameters of traffic flows, in particular, the length of traffic jams, a traffic flow model was used, which includes a psychophysiological model of following a vehicle that moves in front, for the longitudinal movement of vehicles and a model that is based on the rules of the road, for turning traffic. The research methodology …

Preprocessing Of Speech Signals For The System Of Recognition And Spectral Analysis Of Speech, Sherzod Nematov, Y Kamolova

Technical science and innovation

Having a digital representation of a speech signal, we can think about metrics, that is, the parameters of this signal, with the help of which the program can recognize sounds, words and sentences with approximately the same result that a healthy hearing aid and a healthy human brain give.

Computational Analysis Of The Synthesis Of Hydrogels Using The Diels Alder Reaction, Avery Boley

Honors Theses

No abstract provided.

Experimental Investigations On Boiling Heat Transfer Characteristics Of Accident-Tolerant-Fuel And Traditional Claddings, Mingfu He Mr.

Nuclear Engineering ETDs

To make it more clear that how the materials’ thermal-physical properties and wall thickness have influential impacts on boiling heat transfer characteristics of cladding, this dissertation looks into the potential impacts of cladding materials on critical heat flux and heat transfer coefficients by a systematic experimental investigation across a wide range of pool/flow boiling conditions under the steady-state and power-transient heat inputs.

Recent thermal-hydraulics studies have demonstrated that iron-chromium-aluminium (FeCrAl) alloys have the thermal priorities over zircaloys and other commercial alloys including critical heat flux and heat transfer coefficient. However, it is found in our experimental results that FeCrAl-C26M, and …

An Investigation Into Magnetic Gears And Magnetic Springs For Marine Hydrokinetic Power Generators, Hossein Baninajar

Dissertations and Theses

Marine hydrokinetic generators often use mechanical gears to convert the low-speed motion into the high-speed rotary motion that is required for conventional electrical generators. While mechanical gearboxes have a high torque density and can reach high efficiencies, they suffer from serious reliability issues. Recently, magnetic gearing technology has been proposed as a means of making hydrokinetic generators more reliable. As magnetic gears use magnetic field modulation to create speed change, they offer a high reliability, nonfriction, power transmission mechanism that limits the wear to only the bearings and makes the magnetic gears almost maintenance-free. During an over-torque condition, a magnetic …

Development Of A Wearable Device For Monitoring And Predicting Human Health In Emergencies, Mukhriddin Arabboev, Shohruh Begmatov, Khabibullo Nosirov, Jean Chamberlain Chedjou, Kyandoghere Kyamakya

Technical science and innovation

In recent years, natural disasters and various similar emergencies have caused many people to leave this world early. The need for the use of modern technologies in emergencies is growing day by day. Various modern devices, techniques and methods are used in post-disaster search and rescue operations. The issue of finding a survivor is very important in post-disaster operations. The vital signs of humans are very important in determining the survival of humans. Heart Rate (HR), Blood Pressure (BP), Respiration rate (breathing rate), and Body Temperature (BT) values are considered four essential vital signs that must be measured regularly. In …

Identification Of Intrusive Massifs In The Nurata Mineralized Zones Based On Satellite Images, Samariddin Rabbimkulov, Abdulla Almordonov, Akmal Asadov, Abdimutal Tangirov

Technical science and innovation

The article presents the results of processing space images using PCA, ISODATA, K-Means and similar methods, as well as analysis based on GIS technologies. As a result of automatic and visual interpretation of the obtained images, intrusive complexes, linear and ring structures scattered throughout the Nurata region were identified. In particular, the result obtained by X-ray diffraction analysis proved that the composition of the 2R4G1B and 2R4G3B channels is one of the most effective methods for separating the intrusive massifs distributed in the region. Given that isolated intrusive massifs, linear and ring structures are directly related to gold mining zones …

Improving The Work Efficiency Of An Air Conditioning System Based On A Chiller, N Usmonov, A Khazratov, J Usmonov

Technical science and innovation

This article deals with evaporative cooling devices used in air conditioning systems. Various ways of lowering the air temperature to the dew point have been identified as a result of improvements to the devices considered. It is also indicated that the circulating water temperature in the system can be lowered to the air temperature on the wet bulb thermometer. As is known, recirculating water is often used as a cooling water in process units to reduce water consumption in industrial plants. Circulating water is heated by recirculation and the heated water is cooled in ventilated cooling towers. This method of …

Prospects For Using Metal-Polymer Composite Structures In The Gear Manufacturing, Umid Mamasobirov, Shoraxmat Shoobidov, A F. Husanboyev

Technical science and innovation

In this paper, some thermoplastic polymer composites and filler composites for the production of metal-polymer gear transmissions are presented. Efforts have been made to expand the raw material base and identify ways to increase the durability of gears through technological and design measures.

A New Approach For 3d Printed Microfluidic Device Design Based On Pre-Defined Components, Cassandra Ester Slaugh

Theses and Dissertations

3D printing for microfluidic device fabrication has received considerable interest in recent years, in part driven by the potential to dramatically speed up device development by reducing device fabrication time to the minutes timescale. Moreover, in contrast to traditional cleanroom-based fabrication processes that require manual production and stacking of a limited number of layers, 3D printing allows full use of the 3D fabrication volume to lay out microfluidic elements with complex yet compact 3D geometries. The Nordin group has successfully developed multiple generations of high resolution printers and materials for microfluidic devices that achieve this vision. However, because of the …

Onsite Water Reuse: Fate Of Indicator Bacteria, Antibiotic Resistant Genes, Environmental Impacts, And User Perceptions, Michelle B. Henderson

USF Tampa Graduate Theses and Dissertations

Changes in water use, climate, and urbanization have shifted how water resources are used and defined. Wastewater is increasingly regarded as a viable resource to address challenges in non-potable and potable water applications. When dealing with water reuse, water quality and quantity are of the utmost importance; and the final product must be suitable for its intended purpose and acceptable to users. The first portion of this research analyzed the performance and environmental impacts of pilot-scale Hybrid Adsorption Biological Treatment Systems (HABiTS) for onsite wastewater treatment and reuse. Various configurations were investigated to increase HABiTS performance and ability to produce …

Benchmark Of Clustering Techniques And Potential Applications To Polymer Material Science, Rachel Drake

Liberty University Research Week

Undergraduate

Applied

Effects Of Weight-Bearing On Tibiofemoral, Patellofemoral, And Patellar Tendon Kinematics In Older Adults, Vasiliki Kefala, Azhar A. Ali, Landon D. Hamilton, Erin M. Mannen, Kevin B. Shelburne

Mechanical and Biomedical Engineering Faculty Publications and Presentations

Quantification of natural knee kinematics is essential for the assessment of joint function in the diagnosis of pathologies. Combined measurements of tibiofemoral and patellofemoral joint kinematics are necessary because knee pathologies, such as progression of osteoarthritis and patellar instability, are a frequent concern in both articulations. Combined measurement of tibiofemoral and patellofemoral kinematics also enables calculation of important quantities, specifically patellar tendon angle, which partly determines the loading vector at the tibiofemoral joint and patellar tendon moment arm. The goals of this research were to measure the differences in tibiofemoral and patellofemoral kinematics, patellar tendon angle (PTA), and patellar tendon …

Synthesizing Maritime Interaction Scenarios For Testing Autonomy, Benjamin E. Hargis, Yiannis E. Papelis

Modeling, Simulation and Visualization Student Capstone Conference

This paper presents a method to deterministically synthesize maritime traffic interactions that can be presented to a system under test regardless of the state of the system under test. A background to the problem is given and the method is briefly outlined. Results indicate that the approach can enable more robust evaluation of maritime autonomous algorithms.

A Discussion On Supplier Selection Modeling Approaches, Sheida Etemadidavan, Andrew J. Collins

Modeling, Simulation and Visualization Student Capstone Conference

Supplier selection is a subfield of supply chain management that involves multiple steps in order for decision-makers to find suitable suppliers. Supplier selection is important as it could influence the whole company positively or negatively. It has, recently, become a topic of interest because of the recent pandemic and its effect on the global supply chain, which causes supply shortages. As such, the focus of this paper is on characteristics of decision-making modeling approaches, specifically agent-based modeling and multi-agent systems, in supplier selection, as its modeling has always been a challenge for companies due to its complex nature.

Engaging Human-In-The-Loop For Autonomous Vehicle Simulation, John Di Battista, Christian Johnston, Valerie Randall, Jackson Shanahan

Modeling, Simulation and Visualization Student Capstone Conference

Many autonomous vehicles are still in the development phase due to limited research and testing and will take a considerable amount of time to further develop before they are ready for public release. The main objective of this study is to introduce a human-in-the-loop simulation framework for supporting autonomous vehicle research. Our proposed simulation framework aims to facilitate AV assessment by providing a safer and more efficient way. Functionally, it is focused on the understanding of AVs’ operations in the presence of pedestrian users. The developed simulation framework allows a human pedestrian avatar to be integrated into the high-fidelity 3D …

Risk-And-Resiliency-Intelligent Supply Chain (Rrisc), Ahmad A. Abdelnabi, Ahmed M. Abdelmagid, Ghaith Rabadi, Andres Sousa-Poza, C. Ariel Pinto

Modeling, Simulation and Visualization Student Capstone Conference

This work proposes a risk-and-resiliency-intelligent supply chain (RRiSC) tool which is an SC risk management framework that leverages cutting-edge technologies in Artificial Intelligence (AI), Big Data Analytics (BDA), and Digital Twins (DT) to develop specific capabilities for SC risk management. RRiSC is a convergence of mature tools and techniques embedded in three modules: Modeling, Simulation, and Visualization – all together integrate the optimization, simulation, and data analytics to test the performance of the whole supply network under different scenarios through measuring the vital KPIs, identifying the vulnerabilities, and setting proactive plans to diminish risks consequences.

Deapsecure Computational Training For Cybersecurity: Third-Year Improvements And Impacts, Bahador Dodge, Jacob Strother, Rosby Asiamah, Karina Arcaute, Wirawan Purwanto, Masha Sosonkina, Hongyi Wu

Modeling, Simulation and Visualization Student Capstone Conference

The Data-Enabled Advanced Training Program for Cybersecurity Research and Education (DeapSECURE) was introduced in 2018 as a non-degree training consisting of six modules covering a broad range of cyberinfrastructure techniques, including high performance computing, big data, machine learning and advanced cryptography, aimed at reducing the gap between current cybersecurity curricula and requirements needed for advanced research and industrial projects. By its third year, DeapSECURE, like many other educational endeavors, experienced abrupt changes brought by the COVID-19 pandemic. The training had to be retooled to adapt to fully online delivery. Hands-on activities were reformatted to accommodate self-paced learning. In this paper, …

Putin And Putnam: Interpreting Russian Military Activity Through A Three Player, Two-Level Game, Nathan M. Colvin

Modeling, Simulation and Visualization Student Capstone Conference

Is Vladimir Putin a bad strategist, perhaps irrational? Previous military activity by Russia, such as the annexation of Crimea of 2014, yielded limited international gains, at a significant economic and reputational cost. Yet as the 2022 invasion of Ukraine shows, Putin is willing to commit military power, despite the cost of sanctions and other possible retaliation. This three-player simultaneous game, originally created in June, 2021, demonstrates how domestic and international considerations of President Vladimir Putin might lead to otherwise unpredictable Russian military behavior. In this extended version of Robert Putnam’s “two-level game,” President Putin rationally uses the international venue as …