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Articles 80521 - 80550 of 715260
Full-Text Articles in Entire DC Network
Deep Learning Enhancement And Privacy-Preserving Deep Learning: A Data-Centric Approach, Hung S. Nguyen
Deep Learning Enhancement And Privacy-Preserving Deep Learning: A Data-Centric Approach, Hung S. Nguyen
USF Tampa Graduate Theses and Dissertations
Deep Learning and its applications have become attractive to a lot of research recentlybecause of its capability to capture important information from large amounts of data. While most of the work focuses on finding the best model parameters, improving machine learning performance from data perspective still needs more attention. In this work, we propose techniques to enhance the robustness of deep learning classification by tackling data issue. Specifically, our data processing proposals aim to alleviate the impacts of class-imbalanced data and non- IID data in deep learning classification and federated learning scenarios. In addition, data pre-processing strategies such that dimensionality …
Symbiotic Ucyn-A Strains Co-Occurred With El Niño, Relaxed Upwelling, And Varied Eukaryotes Over 10 Years Off Southern California, Colette Fletcher-Hoppe, Yi-Chun Yeh, Yubin Raut, J. L. Weissman, Jed A. Fuhrman
Symbiotic Ucyn-A Strains Co-Occurred With El Niño, Relaxed Upwelling, And Varied Eukaryotes Over 10 Years Off Southern California, Colette Fletcher-Hoppe, Yi-Chun Yeh, Yubin Raut, J. L. Weissman, Jed A. Fuhrman
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
Biological nitrogen fixation, the conversion of N2 gas into a bioavailable form, is vital to sustaining marine primary production. Studies have shifted beyond traditionally studied tropical diazotrophs. Candidatus Atelocyanobacterium thalassa (or UCYN-A) has emerged as a focal point due to its streamlined metabolism, intimate partnership with a haptophyte host, and broad distribution. Here, we explore the environmental parameters that govern UCYN-A’s presence at the San Pedro Ocean Time-series (SPOT), its host specificity, and statistically significant interactions with non-host eukaryotes from 2008-2018. 16S and 18S rRNA gene sequences were amplified by “universal primers” from monthly samples and resolved into Amplicon …
Measurements Of Jet Multiplicity And Jet Transverse Momentum In Multijet Events In Proton–Proton Collisions At √S = 13tev, A. Tumasyan
Department of Physics and Astronomy: Faculty Publications
Multijet events at large transverse momentum (pT) are measured at √ s = 13 TeV using data recorded with the CMS detector at the LHC, corresponding to an integrated luminosity of 36.3 fb−1. The multiplicity of jets with pT > 50 GeV that are produced in association with a high-pT dijet system is measured in various ranges of the pT of the jet with the highest transverse momentum and as a function of the azimuthal angle difference Δφ1,2 between the two highest pT jets in the dijet system. The differential production …
Optimization Of Cargo Handling Equipment At The Airport, David Šourek
Optimization Of Cargo Handling Equipment At The Airport, David Šourek
International Material Handling Research Colloquium
No abstract provided.
Transportation Service Provider Collaboration: Benefits And Insights, Steven Roesch, Kimberly Ellis
Transportation Service Provider Collaboration: Benefits And Insights, Steven Roesch, Kimberly Ellis
International Material Handling Research Colloquium
No abstract provided.
Beyond The Ice, Nikolaus T. Butz, Joshua Hunter, Emma Fisher
Beyond The Ice, Nikolaus T. Butz, Joshua Hunter, Emma Fisher
The Journal of Values-Based Leadership
Leadership is a management tool to direct effective achievement of goals. Historical investigation can provide a valuable lens for the study of leadership styles. To that end, this study examines the disparate approaches of Roald Amundsen and Robert Scott as they raced to be the first explorer to reach the South Pole. The objective of this study is to analyze the leadership techniques used in these expeditions, and to determine how they shaped the outcome of each. The process of tacit knowledge and experience coalesce and foster both leadership and action that is not only communication-oriented and value-driven, but also …
King Charles' Character Education: His Australian School, Now And Then, Elizabeth Summerfield
King Charles' Character Education: His Australian School, Now And Then, Elizabeth Summerfield
The Journal of Values-Based Leadership
As a 17 year old in 1966, the then Prince Charles, spent two terms at Geelong Grammar School in Victoria, Australia. He described the experience as the best part of his secondary schooling, and formative of his character. The School was founded in the 1850s as an educational institution of the Anglican Church. By the twenty-first century it became a leading exponent globally of the Positive Education (PE) movement, which has its foundation in Positive Psychology (PP). Critics of PE have argued that it diminishes, even supersedes, the tenets of the School’s Anglican tradition. This paper tests the School’s assertion …
Possible Attacks On Match-In-Database Fingerprint Authentication, Jadyn Sondrol
Possible Attacks On Match-In-Database Fingerprint Authentication, Jadyn Sondrol
Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal
Biometrics are used to help keep users’ data private. There are many different biometric systems, all dealing with a unique attribute of a user, such as fingerprint, face, retina, iris and voice recognition. Fingerprint biometric systems, specifically match-in-database, have universally become the most implemented biometric system. To make these systems more secure, threat models are used to identify potential attacks and ways to mitigate them. This paper introduces a threat model for match-in-database fingerprint authentication systems. It also describes some of the most frequent attacks these systems come across and some possible mitigation efforts that can be adapted to keep …
Probing As A Technique To Understand Abstract Spaces, Ashlen A. Plasek
Probing As A Technique To Understand Abstract Spaces, Ashlen A. Plasek
Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal
Machine learning models, while very powerful, have their operation obfuscated behind millions of parameters. This obfuscation can make deriving a human meaningful process from a machine learning model very difficult. However, while the intermediate states of a machine learning model are similarly obfuscated, using probing, we can start to explore looking at possible structure in those intermediate states. Large language models are a prime example of this obfuscation, and probing can begin to allow novel experimentation to be performed.
Deep-Learning Realtime Upsampling Techniques In Video Games, Biruk Mengistu
Deep-Learning Realtime Upsampling Techniques In Video Games, Biruk Mengistu
Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal
This paper addresses the challenge of keeping up with the ever-increasing graphical complexity of video games and introduces a deep-learning approach to mitigating it. As games get more and more demanding in terms of their graphics, it becomes increasingly difficult to maintain high-quality images while also ensuring good performance. This is where deep learning super sampling (DLSS) comes in. The paper explains how DLSS works, including the use of convolutional autoencoder neural networks and various other techniques and technologies. It also covers how the network is trained and optimized, as well as how it incorporates temporal antialiasing and frame generation …
Lidar Segmentation-Based Adversarial Attacks On Autonomous Vehicles, Blake Johnson
Lidar Segmentation-Based Adversarial Attacks On Autonomous Vehicles, Blake Johnson
Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal
Autonomous vehicles utilizing LiDAR-based 3D perception systems are susceptible to adversarial attacks. This paper focuses on a specific attack scenario that relies on the creation of adversarial point clusters with the intention of fooling the segmentation model utilized by LiDAR into misclassifying point cloud data. This can be translated into the real world with the placement of objects (such as road signs or cardboard) at these adversarial point cluster locations. These locations are generated through an optimization algorithm performed on said adversarial point clusters that are introduced by the attacker.
Not-So-Super Superfund: Cercla’S Biggest Issues, Cameron Berthiaume
Not-So-Super Superfund: Cercla’S Biggest Issues, Cameron Berthiaume
Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal
The Comprehensive Environmental Response, Compensation and Liability Act (CERCLA/Superfund) is a federal law that allows the Environmental Protection Agency (EPA) to clean up contaminated sites and hold the parties responsible for the contamination financially liable. However, CERCLA faces a number of challenges to fulfilling its mission. This report examines some of the biggest issues facing the law in the past and present.
Can Audits Encourage Tax Evasion?: An Experimental Assessment, Emily Satterthwaite
Can Audits Encourage Tax Evasion?: An Experimental Assessment, Emily Satterthwaite
Florida Tax Review
Governments and tax administrators around the world rely on the premise that audits will deter tax evasion. This Article presents experimental evidence that this premise may be, at least in part, misguided. Counterintuitively, I find that audits presented as random may induce taxpayers to cheat more. Where audits were described as being conducted at random, participants increased their levels of evasion in the tax periods immediately following the audit. This effect, however, did not plague nonrandom audits. When a separate group of participants faced audits that were presented as being nonrandom—participants were told that detected evasion would “flag” a participant …
An Introduction To Consumptive Use Of Water In South Carolina, Heather Bergerud Nix, Mani Rouhi Rad
An Introduction To Consumptive Use Of Water In South Carolina, Heather Bergerud Nix, Mani Rouhi Rad
Journal of South Carolina Water Resources
Effective water resource management requires understanding the supply of and the demand for water. In South Carolina, as in other places, water demand is often determined using total withdrawal volumes. However, the volume of water that is withdrawn can be significantly different from the volume that is actually consumed, which becomes unavailable for downstream uses. Water used for energy generation is commonly excluded from evaluations of total withdrawal volume because it is often assumed to be no or low consumptive use, meaning much of the withdrawn water is returned to the source and remains available for downstream uses. Additionally, energy …
Chlorophyll A Predictions In A Piedmont Lake In Upstate South Carolina Using Machine-Learning Approaches, Ibrahim O. Busari, Debabrata Sahoo, Raghavendra Jana, Charles Privette
Chlorophyll A Predictions In A Piedmont Lake In Upstate South Carolina Using Machine-Learning Approaches, Ibrahim O. Busari, Debabrata Sahoo, Raghavendra Jana, Charles Privette
Journal of South Carolina Water Resources
Freshwater systems are often breeding grounds for harmful algal blooms (HABs), although they are more dominant in ponds and lakes due to the prevailing conditions in those bodies of water. Therefore, the monitoring, modeling, and management of HABs requires knowledge of the complex interrelationship between factors that influence HABs and their detrimental effect on the ecosystem. High concentrations of chlorophyll a are often used to measure algal blooms in bodies of water. Generally, water samples are collected from the field and the concentration of chlorophyll a is measured in a laboratory and compared to water quality standards in order to …
On Sparse Coding As An Alternate Transform In Video Coding, Michael G. Schimpf
On Sparse Coding As An Alternate Transform In Video Coding, Michael G. Schimpf
Engineering Ph.D. Theses
In video compression, specifically in the prediction process, a residual signal is calculated by subtracting the predicted from the original signal, which represents the error of this process. This residual signal is usually transformed by a discrete cosine transform (DCT) from the pixel, into the frequency domain. It is then quantized, which filters more or less high frequencies (depending on a quality parameter). The quantized signal is then entropy encoded usually by a context-adaptive binary arithmetic coding engine (CABAC), and written into a bitstream. In the decoding phase the process is reversed. DCT and quantization in combination are efficient tools, …
Investigation Of The Wear Behavior Of Dual-Matrix Aluminum–(Aluminum–Carbon Nanotube) Composites, Noha M. Abdeltawab, Amal M. K. Esawi, Abdalla Wifi
Investigation Of The Wear Behavior Of Dual-Matrix Aluminum–(Aluminum–Carbon Nanotube) Composites, Noha M. Abdeltawab, Amal M. K. Esawi, Abdalla Wifi
Faculty Journal Articles
No abstract provided.
Cebu Normal University Ms Mathematics Graduates:A Tracer Study, Roberto Corcino, Cristina Corcino, Edward Kiunisala
Cebu Normal University Ms Mathematics Graduates:A Tracer Study, Roberto Corcino, Cristina Corcino, Edward Kiunisala
CNU Journal of Higher Education
This paper unveils the outcomes of a tracer study conducted on graduates who completed the Master of Science in Mathematics (MS Math) program at Cebu Normal University between 2015 and 2021. The primary objective of this tracer study is to discern the evolution in the career trajectories of these graduates, serving as a foundational element for evaluating the effectiveness of the MS Mathematics program at Cebu Normal University.
Implementation Of Blended Learning Modality:An Evaluation Based On Abcd Model, Edgermi Gingoyon
Implementation Of Blended Learning Modality:An Evaluation Based On Abcd Model, Edgermi Gingoyon
CNU Journal of Higher Education
In the integration of both online and face-to-face interactions, blended learning has become a significant educational approach. To examine its implementation, this study uses a descriptive-evaluation mixed-methods research design (quantitative and qualitative) to evaluate the implementation of the Blended Learning Modality based on ABCD Model. Using primary and secondary sources of data, adopted tools to measure learners’ satisfaction and engagement levels, and interview questions to validate participants’ responses, this study thoroughly evaluated the participants, programs, effects, and impact. Results show that the implementation of the program was effective in its effect on the satisfaction and engagement levels and academic performance …
The Sm R-Stirling Numbers: An Algebraic Approach, Roberto Corcino, Vernard Dechosa, Romeo Coronel, Vienna Mae Deveraturda
The Sm R-Stirling Numbers: An Algebraic Approach, Roberto Corcino, Vernard Dechosa, Romeo Coronel, Vienna Mae Deveraturda
CNU Journal of Higher Education
The SM-Stirling numbers by Broder were initially defined through their combinatorial interpretation, and all essential properties and identities were obtained using a combinatorial approach. This paper introduces a slightly modified version of the -Stirling numbers through their exponential generating functions and derives all necessary properties and identities using an algebraic approach.
Comment On “Search For Explanation Of The Neutron Lifetime Anomaly”, F. E. Wietfeldt, R. Biswas, J. Caylor, Bret E. Crawford, M. S. Dewey, N. Fomin, G. L. Greene, C. C. Haddock, S. F. Hoogerheide, H. P. Mumm, J. S. Nico, W. M. Snow, J. Zuchegno
Comment On “Search For Explanation Of The Neutron Lifetime Anomaly”, F. E. Wietfeldt, R. Biswas, J. Caylor, Bret E. Crawford, M. S. Dewey, N. Fomin, G. L. Greene, C. C. Haddock, S. F. Hoogerheide, H. P. Mumm, J. S. Nico, W. M. Snow, J. Zuchegno
Physics and Astronomy Faculty Publications
We respond to issues raised by Serebrov et al. in a recent paper regarding systematic effects in the beam neutron lifetime experiment performed at NIST. We show that these effects were considered in the original analyses and that our corrections and systematic uncertainties were appropriate. We point out some misunderstandings in the analysis of Serebrov et al. None of the issues raised lead us to alter the value of the neutron lifetime reported.
A Comprehensive Review Of Dc-Dc Converters For Ev Applications, Shayan Hosseinzad, Amin Mirzaei
A Comprehensive Review Of Dc-Dc Converters For Ev Applications, Shayan Hosseinzad, Amin Mirzaei
Emirates Journal for Engineering Research
DC-DC converters in Electric vehicles (EVs) have the role of interfacing power sources to the DC-link and the DC-link to the required voltage levels for usage of different systems in EVs like DC drive, electric traction, entertainment, safety and etc. Improvement of gain and performance in these converters has a huge impact on the overall performance and future of EVs. So, different configurations have been suggested by many researches. In this paper, bidirectional DC-DC converters (BDCs) are divided into four categories as isolated-soft, isolated-hard, non-isolated-soft and non-isolated-hard depending on the isolation and type of switching. Moreover, the control strategies, comparative …
A Fluid Flow Queuing Network Model For Performance Analysis Of Bulk Liquid Terminals, Debjit Roy, Werner Scheinhardt, Jan-Kees Van Ommeren
A Fluid Flow Queuing Network Model For Performance Analysis Of Bulk Liquid Terminals, Debjit Roy, Werner Scheinhardt, Jan-Kees Van Ommeren
16th IMHRC Proceedings (Dresden, Germany- 2023)
Bulk liquid terminals play a crucial role in enabling the timely discharge and loading of liquid from the tankers and also facilitating oil transport to the hinterland via pipelines and external trucks. However, the speed of operations (and demurrage costs in the likely event of vessel handling delays) depends on the capacities of all terminal resources including berth, loading arms, and storage tank farms. Today, there is a limited understanding of how the interactions among the resources affect the overall vessel sojourn time performance. Using an integrated fluid flow simulation model of a bulk liquid terminal, we are able to …
Working Together- Scheduling Operations In Assisted Order Picking, Jelmer Pier Van Der Gaast
Working Together- Scheduling Operations In Assisted Order Picking, Jelmer Pier Van Der Gaast
16th IMHRC Proceedings (Dresden, Germany- 2023)
Warehouse operations are becoming increasingly competitive due to the rise of e-commerce and same-day deliveries. To increase operational productivity, it is important to organize order picking as efficiently as possible. A new technology that is relatively cheap is assisted order picking (AOP). AOP involves human order pickers and pick robots working together to ensure customer orders are picked. It is easy to apply, does not require a major reconfiguration of the whole warehouse, and is scalable. In this paper, two variants of AOP are studied, and a mathematical optimization model is developed to minimize the makespan of picking a wave …
Optimization Of Cargo Handling Equipment At The Airport, David Sourek
Optimization Of Cargo Handling Equipment At The Airport, David Sourek
16th IMHRC Proceedings (Dresden, Germany- 2023)
Delaying an aircraft during ground handling costs the airline a lot of money. In critical situations, it is even possible that some flights have to be canceled due to delays. It is therefore the endeavor of all personnel involved in ground operations that they proceed without delay. This paper shows what methods can be used to optimize the required number of handling equipment and what can affect its number.
Designing Facilities To Improve Flexibility: Zone-Based Dynamic Facility Layout, Sadan Kulturel-Konak, Abdullah Konak
Designing Facilities To Improve Flexibility: Zone-Based Dynamic Facility Layout, Sadan Kulturel-Konak, Abdullah Konak
16th IMHRC Proceedings (Dresden, Germany- 2023)
This paper considers solving the unequal area Dynamic Facility Layout Problem (DFLP) using a zone-based structure. Zone-based layouts have significant advantages, such as being easily transferable to a detailed layout with innately included possible aisle structures; therefore, they can be fitted to the unique needs of the layout designers. The unequal area DFLP is modeled and solved using a zone-based structure, which is referred to as ZDFLP, where the dimensions of the departments and material handling system input/output (I/O) points are decision variables. A two-phase matheuristic, which directly operates on Problem ZDFLP without requiring an encoding scheme of the problem, …
On Logistics And Motion Planning - An Informal Axiomatic Approach, Moritz Roidl
On Logistics And Motion Planning - An Informal Axiomatic Approach, Moritz Roidl
16th IMHRC Proceedings (Dresden, Germany- 2023)
Through the introduction of an informal axiomatic framework, this paper aims to contribute to the development of a general theory of logistics, which is currently still a blindspot in logistics research. It aims to combine the precision of robotic motion planning concepts with established logistics terminology, forging a link that balances the robustness of a mathematically rigorous theory with the rich semantic understanding inherent in logistics models. Centered around the notion of designing a logistic space, a possible way of structuring this space by grid-based and continuous spatial structures is discussed. The axiomatic framework is extended to include a new …
Handling Disruptions In A Network With Cross-Docking, Vishal Badyal, Fahim Ahmed, Nikhil Aditya Eti, Nathan Huynh, William Ferrell
Handling Disruptions In A Network With Cross-Docking, Vishal Badyal, Fahim Ahmed, Nikhil Aditya Eti, Nathan Huynh, William Ferrell
16th IMHRC Proceedings (Dresden, Germany- 2023)
Cross-docking (CD) is a commonly used technique to consolidate freight for more efficient delivery to customers; CD is continuing to see increased use by companies. Synchronization of inbound and outbound freight is clearly critical to operations and so is having the cross-dock able to support the freight flow with available doors and material handling equipment. The latter is particularly important when there is a disruption in the inbound freight. One delayed truck can impact several outbound trucks. A methodology is proposed to address explicitly both the scheduling of trucks and material handling within the CD. Two models are proposed – …
Decision Rules For The Robotic Mobile Fulfillment System Of A Pcb Assembly Factory Warehouse, Ching-Jung Ting, Hendra Permana, Hsien-Mi Meng
Decision Rules For The Robotic Mobile Fulfillment System Of A Pcb Assembly Factory Warehouse, Ching-Jung Ting, Hendra Permana, Hsien-Mi Meng
16th IMHRC Proceedings (Dresden, Germany- 2023)
During the COVID-19 pandemic period, global supply chains are disrupted and most of the workers cannot go to the factories to work. Robotic mobile fulfillment system (RMFS) is one of the new types of autonomous, parts-to-picker system, designed especially for e-commerce warehouses. The system can increase the productivity of pickers. However, no research discussed the application of RMFS in manufacturing sector. This research simulates the picking process of a factory warehouse and studies the operational sub-problems which include order line assignment, station selection, pod selection, and pod storage assignment. Different decision rules of each operational problem are proposed and evaluated. …
Computational Fluid Dynamics Modeling Of A Wafer Etch Temperature Control System, Henrique Oyama, Kip Nieman, Anh Tran, Bernard Keville, Yewei Wu, Helen Durand
Computational Fluid Dynamics Modeling Of A Wafer Etch Temperature Control System, Henrique Oyama, Kip Nieman, Anh Tran, Bernard Keville, Yewei Wu, Helen Durand
Chemical Engineering and Materials Science Faculty Research Publications
Next-generation etching processes for semiconductor manufacturing exploit the potential of a variety of operating conditions, including cryogenic conditions at which high etch rates of silicon and very low etch rates of the photoresist are achieved. Thus, tight control of wafer temperature must be maintained. However, large and fast changes in the operating conditions make the wafer temperature control very challenging to be performed using typical etch cooling systems. The selection and evaluation of control tunings, material, and operating costs must be considered for next-generation etching processes under different operating strategies. These evaluations can be performed using digital twin environments (which …