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2019

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Articles 8311 - 8340 of 10505

Full-Text Articles in Engineering

Surface Water-Groundwater Interaction Processes For Groundwater Pumping Management In Saigon River Basin, Long Thanh Tran Jan 2019

Surface Water-Groundwater Interaction Processes For Groundwater Pumping Management In Saigon River Basin, Long Thanh Tran

Chulalongkorn University Theses and Dissertations (Chula ETD)

Since the 1990s, the excessive extraction of groundwater of Saigon River basin is dramatically increased and groundwater resources of Saigon River basin have been facing dramatically drawdown groundwater level in the downstream area. The study attempted to develop groundwater modeling through employing SW-GW interaction parameters and incorporate the concept of sustainable pumping yield to detect optimal pumping management under growing water demand in Saigon River Basin. According to field observed soil moisture, the study recognized the average monthly percolation rate of sand clay loam, sand clay, and clay varies 2-4.5 mm/day, 1.5-3.5 mm/day, and 0.5-2 mm/day, respectively to rainfall intensity …

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Proceedings Of The 2019 Undergraduate Research Conference, Ryan C. Winters, Courtney A. Suire, Dillard University, Grambling State University, Louisiana State University, Loyola University New Orleans, Mcneese State University, Nicholls State University, Northwestern State University Of Louisiana, Southeastern Louisiana University, Southern University And A&M College, University Of Louisiana At Lafayette Jan 2019

Proceedings Of The 2019 Undergraduate Research Conference, Ryan C. Winters, Courtney A. Suire, Dillard University, Grambling State University, Louisiana State University, Loyola University New Orleans, Mcneese State University, Nicholls State University, Northwestern State University Of Louisiana, Southeastern Louisiana University, Southern University And A&M College, University Of Louisiana At Lafayette

Advance: Student Research Experience

Proceedings of the 2019 Undergraduate Research Conference, University of Louisiana at Lafayette, November 22-23, 2019

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The Effect Of Edge-Of-Field Nutrient Management Practices On Microbial Concentrations In Subsurface Drainage Water And The Associated Risk Of Antibiotic Resistance Dissemination, Sara Mardani Jan 2019

The Effect Of Edge-Of-Field Nutrient Management Practices On Microbial Concentrations In Subsurface Drainage Water And The Associated Risk Of Antibiotic Resistance Dissemination, Sara Mardani

Electronic Theses and Dissertations

Many in-field and edge-of-field management practices have been used to reduce nutrient loads from agricultural fields. The denitrification woodchip bioreactor (WB) is one edgeof- field management practice that has proven to be effective in removing nitrate from subsurface drainage water. The success in nitrate removal achieved with WBs has raised interest in expanding their capabilities for removing other agricultural pollutants, including phosphorus, by using other types of media like phosphorus-sorbing filters or combining these filters with woodchips to remove both nitrate and phosphorus as dual-nutrient removal systems. Despite the extensive research done on WBs and nutrient filter materials, little consideration …

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Analysis Of Natural Convection Flow In A Detector Using Computational Fluid Dynamics, Weston Christensen Jan 2019

Analysis Of Natural Convection Flow In A Detector Using Computational Fluid Dynamics, Weston Christensen

Electronic Theses and Dissertations

The goal of this research was to simulate the flow, temperature, and impurity concentration within the Deep Underground Neutrino Experiment (DUNE) Single Phase Far Detector using a commercially available computational fluid dynamics (CFD) solver. DUNE is a research collaborative investigating properties of neutrinos in an effort to better understand the origins of matter and behavior of subatomic particles. The Far Detector is a geometrically complex neutrino detector containing: anode plane arrays and cathode plane arrays which induce an electric field within the detection region that causes electrons to drift to the sensing equipment, field cage planes to enclose the neutrino …

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Coordinated Smart Home Thermal And Energy Management System Using A Co-Simulation Framework, Prateek Munankarmi Jan 2019

Coordinated Smart Home Thermal And Energy Management System Using A Co-Simulation Framework, Prateek Munankarmi

Electronic Theses and Dissertations

The increasing demand for electricity especially during the peak hours threaten the grid reliability. Demand response (DR), changing the load pattern of the consumer in response to system conditions, can decrease energy consumption during periods of high wholesale market price and also maintain system reliability. Residential homes consume 38% of the total electric energy in the U.S., making them promising for DR participation. Consumers can be motivated to participate in DR programs by providing incentives (incentive-based DR), or by introducing a time-varying tariff for electricity consumption (price-based DR). A home energy management system (HEMS), an automated system which can alter …

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3d Printed Bioreactor With Optimized Stimulations For Ex-Vivo Bone Tissue Culture, Anirban Chakraborty Jan 2019

3d Printed Bioreactor With Optimized Stimulations For Ex-Vivo Bone Tissue Culture, Anirban Chakraborty

Electronic Theses and Dissertations

Motivation: Long term tissue survivability ex-vivo can greatly facilitate research on the influence of external stimulus (loading, radiation, microgravity) on the tissue, including mechanisms of disease transmission and subsequent drug discoveries. Bioreactors (used to culture living tissue ex-vivo) can be a valuable tool to study cell activity during physiological processes by mimicking their in-vivo native 3D environment.
Objective Statement: We have developed a compact, 3D printed bioreactor equipped with both continuous flow-perfusion and dynamic mechanical-loading stimulations, capable of maintaining ex-vivo viability of swine cancellous bone cores over a long period. Qualitative study of the cultured cores (in terms of …

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Development Of Enhanced Weed Detection System With Adaptive Thresholding, K-Means And Support Vector Machine, Dheeman Saha Jan 2019

Development Of Enhanced Weed Detection System With Adaptive Thresholding, K-Means And Support Vector Machine, Dheeman Saha

Electronic Theses and Dissertations

This paper proposes a sophisticated classification process to segment the leaves of carrots from weeds (mostly Chamomile). In the early stages, of the plants’ development, both weeds and carrot leaves are intermixed with each other and have similar color texture. This makes it difficult to identify without the help of the domain experts. Therefore, it is essential to remove the weed regions so that the carrot plants can grow without any interruptions. The process of identifying the weeds become more challenging when both plant and weed regions overlap (inter-leaves). The proposed system addresses this problem by creating a sophisticated means …

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Data-Driven Test Cases For Sustainability Assessment Of Smart Grid Initiatives In Organized Electricity Markets, Venkat Durvasulu Jan 2019

Data-Driven Test Cases For Sustainability Assessment Of Smart Grid Initiatives In Organized Electricity Markets, Venkat Durvasulu

Electronic Theses and Dissertations

The primary aim of this dissertation is to deliver a technique to augment power system test cases with realistic open-source data to represent a deregulated power system. These test cases are intended to be used by power system researchers who require a test case that is capable of performing economic and environmental analysis on a bulk-power level. These test cases are capable of estimating the cost of bulk-energy for economic analysis and harmful greenhouse gas (GHG) and air polluting (AP) emissions for environmental sustainability analysis. These cases are developed for simulations that are intended to be at the transmission level …

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A Study On The Comparison Of Sample Location Of Pultruded Composites Exposed To Corrosive Environment, Md Mahmudul Hasan Jan 2019

A Study On The Comparison Of Sample Location Of Pultruded Composites Exposed To Corrosive Environment, Md Mahmudul Hasan

Electronic Theses and Dissertations

Composite structures may experience different environments during their prolonged service life. These environments may include corrosive, acidic or both or many others that can adversely affect the mechanical properties of the structural composites. Various studies have been done on the environmental effects on the composites but only a few are on structural shaped pultruded composites. More specifically, none of the studies tell anything about the effects of corrosive media on the locations of the structural shaped pultruded composites coupon samples. Hence, this current study focused on two primary objectives, 1) the durability characterization of structural shaped pultruded composites after an …

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Use Of Seismic Refraction In Determining Rock Mass Anisotropy, Mohammad Najmush Sakib Oyan Jan 2019

Use Of Seismic Refraction In Determining Rock Mass Anisotropy, Mohammad Najmush Sakib Oyan

Electronic Theses and Dissertations

Seismic refraction is a popular method used by geological/geotechnical engineers to understand subsurface conditions. This method along with information collected from borings produce a realistic image of the ground beneath us. The goal of this study is to define and test a set of procedures to use seismic refraction alone to create high quality images of subsurface conditions. The focus is on areas with several meters of soil overlain by bedrock. The application of these procedures will minimize construction costs by eliminating the need for multiple boreholes. The results show that two important criteria must be met for successful application …

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A Study Of Cooperative Spectrum Sharing Schemes For Internet Of Things Systems, Adham Hagag Jan 2019

A Study Of Cooperative Spectrum Sharing Schemes For Internet Of Things Systems, Adham Hagag

Electronic Theses and Dissertations

The Internet of Things (IoT) has gained much attention in recent years with the massive increase in the number of connected devices. Cognitive Machine-to-Machine (CM2M) communications is a hot research topic in which a cognitive dimension allows M2M networks to overcome the challenges of spectrum scarcity, interference, and green requirements. In this paper, we propose a Generalized Cooperative Spectrum Sharing (GCSS) scheme for M2M communication. Cooperation extends the coverage of wireless networks as well as increasing their throughput while reducing the energy consumption of the connected low power devices. We study the outage performance of the proposed GCSS scheme for …

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Special Collection On Electroporation-Based Therapies: A Selection Of Papers From The Second World Congress On Electroporation, Richard Heller, Rafael V. Davalos Jan 2019

Special Collection On Electroporation-Based Therapies: A Selection Of Papers From The Second World Congress On Electroporation, Richard Heller, Rafael V. Davalos

Bioelectrics Publications

No abstract provided.

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Managing Uncertainty In Sensor Data: An Evidence Theory Based Multisensor Data Fusion Approach, Gabriel Idowu Awogbami Jan 2019

Managing Uncertainty In Sensor Data: An Evidence Theory Based Multisensor Data Fusion Approach, Gabriel Idowu Awogbami

Dissertations

Sensors play a critical role in the development of intelligent systems. Intelligent agents are equipped with an array of sensors to acquire information about themselves and the environment to make a reasonable decision. Information extracted from the sensor data is often characterized by uncertainty. Modeling and reasoning under such uncertainty poses a great challenge. Multisensor data fusion is a viable approach to address this problem. The Dempster Shafer (DS) theory of belief functions, also known as the evidence theory, is a well-known data fusion formalism due to its close relationship with other mathematical theories of uncertainty and its elegant way …

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Outcomes Of The Student Mentoring And Research Training (Smart) Program, Nazmul Islam, Amy A. Weimer Jan 2019

Outcomes Of The Student Mentoring And Research Training (Smart) Program, Nazmul Islam, Amy A. Weimer

Electrical and Computer Engineering Faculty Publications

Engaging undergraduate students in research not only improves discipline-specific knowledge and skillsets, but also exposes them to increased research-related career paths, and motivates their pursuit of graduate study. With an interest in increasing these outcomes among students, the University of Texas Rio Grande Valley (UTRGV) developed the Student Mentoring and Research Training (SMART) program. The primary objective of the program was to provide an increasing number of undergraduate student (UG) research opportunities by building triadic teams comprised of (1) a faculty mentor, (2) a graduate student assistant, and (3) at least three undergraduate students. By utilizing graduate student mentors, in …

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Multi-Column Neural Networks And Sparse Coding Novel Techniques In Machine Learning, Ammar O. Hoori Jan 2019

Multi-Column Neural Networks And Sparse Coding Novel Techniques In Machine Learning, Ammar O. Hoori

Theses and Dissertations

Accurate and fast machine learning (ML) algorithms are highly vital in artificial intelligence (AI) applications. In complex dataset problems, traditional ML methods such as radial basis function neural network (RBFN), sparse coding (SC) using dictionary learning, and particle swarm optimization (PSO) provide trivial results, large structure, slow training, and/or slow testing. This dissertation introduces four novel ML techniques: the multi-column RBFN network (MCRN), the projected dictionary learning algorithm (PDL) and the multi-column adaptive and non-adaptive particle swarm optimization techniques (MC-APSO and MC-PSO). These novel techniques provide efficient alternatives for traditional ML techniques. Compared to traditional ML techniques, the novel ML …

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Design Of Dual-Band Rf-Dc Rectifier And Dc-Dc Boost Converter For Energy Harvesting Applications, Merghani K. Merghani Jan 2019

Design Of Dual-Band Rf-Dc Rectifier And Dc-Dc Boost Converter For Energy Harvesting Applications, Merghani K. Merghani

Theses

Wireless sensors are used in many industrial and commercial applications. However powering up those sensors is challenging, because batteries have limited lifetime, require periodic maintenance, and their depositions are toxic to the environment. One of the new methods to power up those small sensors is to capture energy from ambient sources and convert it into a steady dc output voltage, which is known as energy harvesting or scavenging. In this thesis, we propose an energy harvesting method by scavenging the electromagnetic (EM), or radio frequency (RF) energy in the ambient and converting it into a steady dc output voltage that …

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Immune Modulation By Amphiphilic Oligonucleotides, Chunsong Yu Jan 2019

Immune Modulation By Amphiphilic Oligonucleotides, Chunsong Yu

Wayne State University Dissertations

Immunotherapy is emerging as one of the most promising therapeutic strategies for cancer treatment in clinical practice. Immunotherapy leverages the host’s immune system to attack and kill tumor cells. Rationally-designed cancer vaccines are emerging as one of the powerful immunotherapies primarily because of the promise of inducing tumor antigen-specific immune responses. To improve immunogenicity of cancer vaccines, vaccine antigens are administered with vaccine adjuvants which can robustly activate innate immune system and subsequently lead to adaptive immune response. However, the major challenge of achieving significant therapeutic efficacy is lack of efficient targeted-delivery of vaccine components. By taking advantage of endogenous …

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Novel Cathode Framework, Effective Electrolyte Modification, And Electrode Structural Modification Of High Performance Lithium Sulfur Batteries, Wenduo Zeng Jan 2019

Novel Cathode Framework, Effective Electrolyte Modification, And Electrode Structural Modification Of High Performance Lithium Sulfur Batteries, Wenduo Zeng

Wayne State University Dissertations

Firstly, TiN nanotube arrays have been investigated as an effective skeleton in the cathode of lithium-sulfur batteries. A series of TiN nanotubes with various diameter and length have been synthesized and tested. Moreover, graphene nanoplatelets have been utilized as a structural anchor to support the TiN nanotubes, and the synergetic effect of composite material and its enhancement on Li-S battery electrochemical performance and cycling stability have been studied. Secondly, the improvement of electrode structural design has been evaluated for their effectiveness by using an in-situ characterization method with other electrochemical characterization. Lastly, the facile method of using transition metal cations …

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Direct Laser Metal Deposition Of Nickel Based Superalloys, Abhishek Ramakrishnan-Sudha Jan 2019

Direct Laser Metal Deposition Of Nickel Based Superalloys, Abhishek Ramakrishnan-Sudha

Wayne State University Dissertations

Nickel-based superalloys are substantially used in the manufacturing of boilers for ultra-supercritical power plants and gas turbine hot-section as this grade of alloys provide higher yield strength with the rise in operating temperature and pressure owing to the presence of γʹ second phase precipitates. Conventionally, casting techniques such as centrifugal casting, investment casting, vacuum molding and several other casting based methods are used to fabricate the hot-section components. Nevertheless, a need for designing advanced materials with complex designs such as geometry, microstructure control, compositional changes, microstructure and property varying with the location as in functionally graded materials is not viable …

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Programming Of Collaborative Robot (Cobot) To Selectively Disassemble Products To Obtain Critical Materials, Brittany Felder Jan 2019

Programming Of Collaborative Robot (Cobot) To Selectively Disassemble Products To Obtain Critical Materials, Brittany Felder

Research Opportunities for Engineering Undergraduates (ROEU) Program 2018-19

End-of-life products that contain critical materials, such as rare earth magnets, are often discarded even though there is remaining value that can be fed back into a remanufacturing process. This research aims to develop high throughput and economic value recovery from electric machines using collaborative robotics.

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Multi-Responsive Macromolecular Coacervate Complexes For Efficient Biomolecular Encapsulation And Controlled Release, Adrian Lorenzana Jan 2019

Multi-Responsive Macromolecular Coacervate Complexes For Efficient Biomolecular Encapsulation And Controlled Release, Adrian Lorenzana

Research Opportunities for Engineering Undergraduates (ROEU) Program 2018-19

The project investigates the mechanistic (entropic) formation of organic-inorganic coacervates with improved mechanical strength. We seek to control and modify material properties and stimuli-responsive characteristics of hybrid coacervates, and to explore new practical applications of organic-inorganic coacervate complexes, i.e. (bio)separation, wastewater treatment, drug delivery, battery electrolyte and electrodes.

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Ros-Based Sensor Fusion And Motion Planning For Autonomous Vehicles: Application To Automated Parkinig System, Yuanzhe Li Jan 2019

Ros-Based Sensor Fusion And Motion Planning For Autonomous Vehicles: Application To Automated Parkinig System, Yuanzhe Li

Wayne State University Theses

Research and development in autonomous vehicles are currently very active since these vehicles are expected to play an important role in future transportation. During the past decade, numerous Advanced Driver Assistance Systems (ADAS) features have been developed and implemented on production vehicles, such as Adaptive Cruise Control and Lane Keeping Assist. However, most ADAS features are aimed to assist driving on highways where the environments are usually more structured and decision making can be made more easily. Non-highway environments, such as in the case of self-parking, are unstructured and requires more complicated analysis of the image information, localization and path …

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Molecular Exchange Monte Carlo. A Generalized Method For Identity Exchanges In Grand Canonical Monte Carlo Simulations, Mohammad Soroush Barhaghi Jan 2019

Molecular Exchange Monte Carlo. A Generalized Method For Identity Exchanges In Grand Canonical Monte Carlo Simulations, Mohammad Soroush Barhaghi

Wayne State University Theses

A generalized identity exchange algorithm is presented for Monte Carlo simulations in the grand canonical ensemble. The algorithm, referred to as Molecular Exchange Monte Carlo (MEMC), may be applied to multicomponent systems of arbitrary molecular topology, and provides significant enhancements in the sampling of phase space over a wide range of compositions and temperatures. Three different approaches are presented for the insertion of large molecules, and the pros and cons of each method are discussed. The performance of the algorithms is highlighted through grand canonical Monte Carlo histogram-reweighting simulations performed on several systems, including 2,2,4-trimethylpentane+neopentane, butane+perfluorobutane, methane+n-alkanes, and water+impurity. Relative …

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A Formal Systems Engineering Methodology For Cyber-Physical Systems: The Verifiable Design Process, Nadew S. Kibret Jan 2019

A Formal Systems Engineering Methodology For Cyber-Physical Systems: The Verifiable Design Process, Nadew S. Kibret

Dissertations

Cyber-physical systems (CPS) are systems that exhibit tight integration between their physical and computational components. They are hybrid systems containing continuous states and discrete states emanating from the physical and computational components, respectively. Systems engineering of these systems is challenging due to the tight integration of their computational, physical and communication technologies. As their level of acceptance increases in mission critical applications such as health care, smart grid, autonomous vehicles and smart cities, the need to ensure their safe operation is paramount importance as well. Therefore, design methodologies followed in their development are required to result in system behavior that …

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Comparison Study Of Supervised Machine Learning Algorithms For Real Time Prediction Of Uav Behaviors, Brian Baity Jan 2019

Comparison Study Of Supervised Machine Learning Algorithms For Real Time Prediction Of Uav Behaviors, Brian Baity

Theses

An American scientific writer/critic of the mid-20th century, Joseph Wood Krutch, stated, “Technology made large populations possible: large populations now make technology indispensable.” Unmanned aerial vehicles (UAVs) have become a vital part of society, evolving from solely military use to commercial and even personal day-to-day use. UAV application has grown for mobility on demand, increasing the number of UAVs in the sky. Consequently, more UAVs increases the possibility of aerial collisions, challenging the safety of passengers flying and bystanders on the ground. Understanding the behavior of UAVs and unmanned aerial systems (UAS) in general, therefore, will decrease the possibility of …

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The Concept Of Substrate Integrated Circularly Polarized Horn Antennas, Venkata Naga Kalyan Ram Akunuru Jan 2019

The Concept Of Substrate Integrated Circularly Polarized Horn Antennas, Venkata Naga Kalyan Ram Akunuru

All Graduate Theses, Dissertations, and Other Capstone Projects

In this thesis, a new type of Substrate Integrated Waveguide for Horn Antennas is proposed for implementing circularly polarization on printed circuit boards. E-plane type of circuits cannot be realized by the conventional substrate integrated waveguide. Substrate integrated E-plane waveguide consists of two circuit boards attached to each other by the two copper strips which are inserted in between two circuit boards, where plated through holes are penetrated through them along the transmission direction. The plated through holes and copper strips altogether played as side walls of a conventional waveguide to support longitudinal and vertical currents. Circular Polarization has its …

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This Is The Last Straw: Reducing Plastic Straw Usage On A College Campus, Rajalakshmi Somasundaram Jan 2019

This Is The Last Straw: Reducing Plastic Straw Usage On A College Campus, Rajalakshmi Somasundaram

Graduate Theses - Engineering Management

Six Sigma is a disciplined, data-driven approach and methodology developed by Motorola in the mid-1980’s to optimize processes. Six Sigma allows for a quantitative study of a process with the goal of improving the quality of the output of the process by removing the causes of defects and reducing variability in the process. The methodology has been applied in numerous industries, such as manufacturing, healthcare, and education. Statistically speaking, it drives a process towards six sigma by centering the process’s mean and decreasing its standard deviation so that the distance between its mean and nearest specification limit is six standard …

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Preliminary Examination Of The Effects Of Time And Flexural Direction On An Anisotropic Geosynthetic Cementitious Composite Mat, James M. Proctor Jan 2019

Preliminary Examination Of The Effects Of Time And Flexural Direction On An Anisotropic Geosynthetic Cementitious Composite Mat, James M. Proctor

Undergraduate Honors Theses

The significance of this research was to determine the effect the main fabric weave direction and cure time has on the maximum load of 0.34 inch anisotropic Geosynthetic Cementitious Composite Mat sample coupons. Two series of tests were run. The first used a three-point bend test on the material samples with varying cure times to determine the average maximum load associated with each. The second series of testing used followed ASTM D8030/D8030M - 16 for sample preparation and ASTM D8058 - 17 for testing to determine the flexural strength and modulus of elasticity of the test samples with and against …

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Comparative Analysis Of Bolted Joint Assemblies Subjected To Cyclical Transverse Mechanical Stress, Carlton Drew Harris Jan 2019

Comparative Analysis Of Bolted Joint Assemblies Subjected To Cyclical Transverse Mechanical Stress, Carlton Drew Harris

Undergraduate Honors Theses

This research was conducted to determine the effectiveness of commonly-used washers in engineering structures by observing the difference in applied torque specifications and torque required to loosen bolted joint assemblies after being subjected to cyclical transverse mechanical stress. Two types of washers were tested: flat washers and split-ring helical lock washers. The physical concepts tested throughout this paper are theorized to scale to any size of bolted joint assembly. Based on the variables tested, the results are inconclusive. While the observed results did display the assemblies paired with split-ring helical lock washers required- on average- a greater force to loosen …

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Strategies To Mitigate Supply Chain Disruption Risks, Daniel G. Haloukas Jan 2019

Strategies To Mitigate Supply Chain Disruption Risks, Daniel G. Haloukas

Walden Dissertations and Doctoral Studies

Businesses with global supply chains typically have a minimum of 1 interruption to their supply chain annually, which can decrease profitability and affect overall company performance. The purpose of this multiple case study was to explore strategies personal care business supply chain managers used to mitigate supply chain disruption risk. The targeted population was 9 supply chain managers working in 5 different Fortune 500 consumer packaged goods personal care companies in the northeastern United States who have successfully used strategies to mitigate supply chain disruptions. Corporate risk management was used as the conceptual framework of the study to determine how …

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