Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Physical Sciences and Mathematics (7311)
- Engineering (5518)
- Physics (2387)
- Computer Sciences (1929)
- Electrical and Computer Engineering (1818)
-
- Chemistry (1566)
- Civil and Environmental Engineering (1135)
- Earth Sciences (782)
- Mechanical Engineering (778)
- Chemical Engineering (721)
- Geology (683)
- Mathematics (635)
- Statistics and Probability (534)
- Geotechnical Engineering (416)
- Materials Science and Engineering (401)
- Aerospace Engineering (380)
- Operations Research, Systems Engineering and Industrial Engineering (372)
- Geophysics and Seismology (300)
- Petroleum Engineering (276)
- Civil Engineering (269)
- Mining Engineering (267)
- Structural Engineering (201)
- Social and Behavioral Sciences (177)
- Biochemical and Biomolecular Engineering (175)
- Architecture (156)
- Architectural Engineering (149)
- Life Sciences (140)
- Environmental Sciences (131)
- Geological Engineering (119)
- Public Affairs, Public Policy and Public Administration (111)
- Keyword
-
- Mathematical Models (63)
- Ionization (60)
- Optimization (55)
- Neurocontrollers (51)
- Optimal Control (51)
-
- Machine learning (46)
- Deep learning (43)
- Electrons (43)
- Hydrogen (43)
- Quantum Theory (43)
- Geology (41)
- Atoms (37)
- Helium (36)
- Machine Learning (36)
- Neural Networks (35)
- Gravitational waves (34)
- Molecules (34)
- Security (33)
- Algorithms (32)
- Electrodynamics (32)
- Simulation (32)
- Neural Nets (31)
- Mathematical models (30)
- Clustering (29)
- Gravity waves (29)
- Stability (29)
- Adaptive Control (28)
- Article (28)
- Gravitational effects (28)
- Neural networks (28)
- Publication Year
- Publication
-
- Masters Theses (2157)
- Physics Faculty Research & Creative Works (1960)
- Doctoral Dissertations (1336)
- Electrical and Computer Engineering Faculty Research & Creative Works (1199)
- The Missouri Miner Newspaper (964)
-
- Chemistry Faculty Research & Creative Works (940)
- Computer Science Faculty Research & Creative Works (910)
- Mathematics and Statistics Faculty Research & Creative Works (466)
- Mechanical and Aerospace Engineering Faculty Research & Creative Works (330)
- Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works (327)
- Civil, Architectural and Environmental Engineering Faculty Research & Creative Works (231)
- Missouri S&T Magazine (224)
- International Conferences on Recent Advances in Geotechnical Earthquake Engineering and Soil Dynamics (220)
- Computer Science Technical Reports (196)
- UMR-MEC Conference on Energy / UMR-DNR Conference on Energy (168)
- Chemical and Biochemical Engineering Faculty Research & Creative Works (157)
- International Conference on Case Histories in Geotechnical Engineering (153)
- Engineering Management and Systems Engineering Faculty Research & Creative Works (152)
- Materials Science and Engineering Faculty Research & Creative Works (127)
- CCFSS Proceedings of International Specialty Conference on Cold-Formed Steel Structures (1971 - 2018) (94)
- Opportunities for Undergraduate Research Experience Program (OURE) (80)
- Undergraduate Research Conference at Missouri S&T (76)
- Yearbooks (63)
- Bachelors Theses (53)
- Miners Solving for Tomorrow Research Conference (49)
- Business and Information Technology Faculty Research & Creative Works (47)
- Mining Engineering Faculty Research & Creative Works (45)
- Minutes & Agendas (41)
- Biological Sciences Faculty Research & Creative Works (38)
- UMR Journal -- V. H. McNutt Colloquium Series (37)
- Publication Type
- File Type
Articles 2221 - 2250 of 13220
Full-Text Articles in Entire DC Network
Timing Of Deformation Along The Iron Springs Thrust, Southern Sevier Fold-And-Thrust Belt, Utah: Evidence For An Extensive Thrusting Event In The Mid-Cretaceous, J. Daniel Quick, John Patrick Hogan, Michael Wizevich, Jonathan Obrist-Farner, James L. Crowley
Timing Of Deformation Along The Iron Springs Thrust, Southern Sevier Fold-And-Thrust Belt, Utah: Evidence For An Extensive Thrusting Event In The Mid-Cretaceous, J. Daniel Quick, John Patrick Hogan, Michael Wizevich, Jonathan Obrist-Farner, James L. Crowley
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
The temporal and spatial distribution of strain associated with the Sevier orogeny in western North America is significantly different in the southern end of the belt, at the latitude of Las Vegas, Nevada, than farther to the north at the latitude of Salt Lake City, Utah. Reasons for these differences have been speculative as a lack of temporal constraints on thrusting in the intervening region hindered along-strike correlation across the belt. We determined a crystallization age of 100.18 ± 0.04 Ma for zircons extracted from a recently recognized dacite lapilli ash-fall tuff near the base of the synorogenic Iron Springs …
Micro-Annulus Generation Under Downhole Conditions: Insights From Three-Dimensional Staged Finite Element Analysis Of Cement Hardening And Wellbore Operations, Weicheng Zhang, Andreas Eckert
Micro-Annulus Generation Under Downhole Conditions: Insights From Three-Dimensional Staged Finite Element Analysis Of Cement Hardening And Wellbore Operations, Weicheng Zhang, Andreas Eckert
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
A micro-annulus (MA) is defined as a high permeability zone or gap initiating/occurring at the casing-cement and cement-formation interfaces during the wellbore life span. An MA can significantly compromise wellbore integrity by establishing enhanced fluid flow pathways. This study uses a staged finite element approach to simulate wellbore integrity during various loading steps of wellbore operations under downhole conditions. Particular emphasis is placed on the processes of cement poro-elastic property evolution, volume variation, and pore pressure variation as part of the cement hardening step. The resulting state of stress during the life cycle of a typical injection well (i.e. hardening, …
Message From The General Chairs, Falko Dressler, Sajal K. Das
Message From The General Chairs, Falko Dressler, Sajal K. Das
Computer Science Faculty Research & Creative Works
No abstract provided.
Quantum Oscillations From Networked Topological Interfaces In A Weyl Semimetal, I. Lin Liu, Colin Heikes, Taner Yildirim, Chris Eckberg, Tristin Metz, Hyunsoo Kim, Sheng Ran, William D. Ratcliff, Johnpierre Paglione, For Full List Of Authors, See Publisher's Website.
Quantum Oscillations From Networked Topological Interfaces In A Weyl Semimetal, I. Lin Liu, Colin Heikes, Taner Yildirim, Chris Eckberg, Tristin Metz, Hyunsoo Kim, Sheng Ran, William D. Ratcliff, Johnpierre Paglione, For Full List Of Authors, See Publisher's Website.
Physics Faculty Research & Creative Works
Layered transition metal chalcogenides are promising hosts of electronic Weyl nodes and topological superconductivity. MoTe2 is a striking example that harbors both noncentrosymmetric Td and centrosymmetric T' phases, both of which have been identified as topologically nontrivial. Applied pressure tunes the structural transition separating these phases to zero temperature, stabilizing a mixed Td–T' matrix that entails a network of interfaces between the two nontrivial topological phases. Here, we show that this critical pressure range is characterized by distinct coherent quantum oscillations, indicating that the difference in topology between topologically nonvtrivial Td and T' phases gives …
Tuning Magnetic Confinement Of Spin-Triplet Superconductivity, Wen Chen Lin, Daniel J. Campbell, Sheng Ran, I. Lin Liu, Hyunsoo Kim, Andriy H. Nevidomskyy, David Graf, Nicholas P. Butch, Johnpierre Paglione
Tuning Magnetic Confinement Of Spin-Triplet Superconductivity, Wen Chen Lin, Daniel J. Campbell, Sheng Ran, I. Lin Liu, Hyunsoo Kim, Andriy H. Nevidomskyy, David Graf, Nicholas P. Butch, Johnpierre Paglione
Physics Faculty Research & Creative Works
Electrical magnetoresistance and tunnel diode oscillator measurements were performed under external magnetic fields up to 41 T applied along the crystallographic b axis (hard axis) of UTe2 as a function of temperature and applied pressures up to 18.8 kbar. In this work, we track the field-induced first-order transition between superconducting and magnetic field-polarized phases as a function of applied pressure, showing suppression of the transition with increasing pressure until the demise of superconductivity near 16 kbar and the appearance of a pressure-induced ferromagnetic-like ground state that is distinct from the field-polarized phase and stable at zero field. Together with …
An Efficient 3-D Stochastic Hie-Fdtd Algorithm For Investigation Of Statistical Variation In Electromagnetic Field, Kaikun Niu, Zhixiang Huang, Xingang Ren, Ke Xu, Minquan Li, Xianliang Wu, Ping Li, Lijun Jiang, Hakan Bagci
An Efficient 3-D Stochastic Hie-Fdtd Algorithm For Investigation Of Statistical Variation In Electromagnetic Field, Kaikun Niu, Zhixiang Huang, Xingang Ren, Ke Xu, Minquan Li, Xianliang Wu, Ping Li, Lijun Jiang, Hakan Bagci
Electrical and Computer Engineering Faculty Research & Creative Works
We propose a stochastic hybrid implicit-explicit finite-difference time-domain method (S-HIE-FDTD) to compute the mean and variance of the electromagnetic (EM) fields using a single simulation, given those of the conductivity and permittivity in the computation domain. The mean and variance field update equations underlying the proposed method are derived from the field update equations of the 'traditional' deterministic HIE-FDTD. The Courant-Friedrichs-Lewy condition of the S-HIE-FDTD depends on the spatial discretization sizes only in two dimensions; therefore, for computation domains with fine geometric features only in the remaining dimension, it uses a time step size that is larger than that of …
Analysis Of Electric Vehicle Charging Behavior Patterns With Function Principal Component Analysis Approach, Chenxi Chen, Yang Song, Xianbiao Hu, Ivan G. Guardiola
Analysis Of Electric Vehicle Charging Behavior Patterns With Function Principal Component Analysis Approach, Chenxi Chen, Yang Song, Xianbiao Hu, Ivan G. Guardiola
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
This manuscript focused on analyzing electric vehicles’ (EV) charging behavior patterns with a functional data analysis (FDA) approach, with the goal of providing theoretical support to the EV infrastructure planning and regulation, as well as the power grid load management. 5-year real-world charging log data from a total of 455 charging stations in Kansas City, Missouri, was used. The focuses were placed on analyzing the daily usage occupancy variability, daily energy consumption variability, and station-level usage variability. Compared with the traditional discrete-based analysis models, the proposed FDA modeling approach had unique advantages in preserving the smooth function behavior of the …
Induced Interactions And Quench Dynamics Of Bosonic Impurities Immersed In A Fermi Sea, K. Mukherjee, Simeon I. Mistakidis, S. Majumder, P. Schmelcher
Induced Interactions And Quench Dynamics Of Bosonic Impurities Immersed In A Fermi Sea, K. Mukherjee, Simeon I. Mistakidis, S. Majumder, P. Schmelcher
Physics Faculty Research & Creative Works
We Unravel The Ground-State Properties And The Nonequilibrium Quantum Dynamics Of Two Bosonic Impurities Immersed In A One-Dimensional Fermionic Environment By Applying A Quench Of The Impurity-Medium Interaction Strength. In The Ground State, The Impurities And The Fermi Sea Are Phase Separated For Strong Impurity-Medium Repulsions While They Experience A Localization Tendency Around The Trap Center For Large Attractions. We Demonstrate The Presence Of Attractive Induced Interactions Mediated By The Host For Impurity-Medium Couplings Of Either Sign And Analyze The Competition Between Induced And Direct Interactions. A Quench To Repulsive Interactions Triggers A Breathing Motion In Both Components, With An …
Cochlear Implant Wireless Power Transfer System Design For High Efficiency And Link Gain Stability Using A Proposed Stagger Tuning Method, Seokwoo Hong, Seungtaek Jeong, Seongsoo Lee, Boogyo Sim, Hongseok Kim, Hoseung Lee, Woojin Ahn, Jonghyeok Park, Seunghoom Lee, Joungho Kim
Cochlear Implant Wireless Power Transfer System Design For High Efficiency And Link Gain Stability Using A Proposed Stagger Tuning Method, Seokwoo Hong, Seungtaek Jeong, Seongsoo Lee, Boogyo Sim, Hongseok Kim, Hoseung Lee, Woojin Ahn, Jonghyeok Park, Seunghoom Lee, Joungho Kim
Electrical and Computer Engineering Faculty Research & Creative Works
In recent years, wireless power transfer (WPT) technology is becoming an increasingly important part of the various applications because of its safety. Especially, medical implant devices such as a cochlear implant are one of the typical applications of the WPT technology. Because of the individual body differences, however, the coupling coefficient of the WPT system can be changed. Therefore, the coupling coefficient-insensitivity is very important design issue. In this paper, we propose a stagger tuning method of a cochlear implant WPT system. The proposed method makes the cochlear implant WPT system stable at the link gain regardless of the coupling …
New Proper Orthogonal Decomposition Approximation Theory For Pde Solution Data, Sarah Locke, John R. Singler
New Proper Orthogonal Decomposition Approximation Theory For Pde Solution Data, Sarah Locke, John R. Singler
Mathematics and Statistics Faculty Research & Creative Works
In our previous work [J. R. Singler, SIAM J. Numer. Anal., 52 (2014), pp. 852- 876], we considered the proper orthogonal decomposition (POD) of time varying PDE solution data taking values in two different Hilbert spaces. We considered various POD projections of the data and obtained new results concerning POD projection errors and error bounds for POD reduced order models of PDEs. In this work, we improve on our earlier results concerning POD projections by extending to a more general framework that allows for nonorthogonal POD projections and seminorms. We obtain new exact error formulas and convergence results for POD …
Spincoating Epitaxial Films, Jay A. Switzer
Spincoating Epitaxial Films, Jay A. Switzer
Chemistry Faculty Research & Creative Works
A process for forming an epitaxial film comprising spinning a substrate having an ordered crystal structure ; heating the substrate during spinning to a temperature between 70° C. and 150° C .; dripping epitaxial film precursor solution onto the spinning substrate , where the precursor solution comprises inorganic film precursor material in a solvent ; and continuing the heating and spinning to remove the solvent and epitaxially grow the epitaxial film on the substrate .
A Markov Chain Approach For Forecasting Progression Of Opioid Addiction, Abhijit Gosavi, Susan L. Murray, N. Karagiannis
A Markov Chain Approach For Forecasting Progression Of Opioid Addiction, Abhijit Gosavi, Susan L. Murray, N. Karagiannis
Engineering Management and Systems Engineering Faculty Research & Creative Works
The U.S. is currently facing an opioid crisis. Naltrexone is a common treatment for drug addiction; it reduces the desire to take opiates. However, addicts often stop treatment or continue to use opioids while in treatment. This results in increased fatalities and associated costs. A Markov-chain model is presented to analyze the progression of opioid addiction to assist the medical community in developing appropriate treatments. The model includes patients who continue opiate use while on naltrexone (blocked patients) and those who use opiates after missing naltrexone doses (unblocked patients). The other types of patients are abstinent (the best-case scenario) and …
Investigation Of The Evaporation Rate Of Water From Colloidal Unimolecular Polymer (Cup) Systems By Isothermal Tga, Peng Geng, Ashish Zore, Michael R. Van De Mark
Investigation Of The Evaporation Rate Of Water From Colloidal Unimolecular Polymer (Cup) Systems By Isothermal Tga, Peng Geng, Ashish Zore, Michael R. Van De Mark
Chemistry Faculty Research & Creative Works
Studies of the evaporation of aqueous nanoparticle solutions have been limited due to lack of homogeneity of the solution, difficulties in obtaining reproducible samples and stability of substrates, as well as the effect of other volatile components or contaminants such as surfactants. Colloidal unimolecular polymer (CUP) is a spheroidal nanoparticle with charged hydrophilic groups on the surface, and the particle size ranges from 3 to 9 nm. The large amount of surface water on the CUP surface provides the opportunity to evaluate the evaporation of surface water, which may contribute to the investigation the factors that affect the evaporation rate …
A Natural Frenet Frame For Null Curves On The Lightlike Cone In Minkowski Space ℝ⁴₂, Nemat Abazari, Martin Bohner, Ilgin Sağer, Alireza Sedaghatdoost, Yusuf Yayli
A Natural Frenet Frame For Null Curves On The Lightlike Cone In Minkowski Space ℝ⁴₂, Nemat Abazari, Martin Bohner, Ilgin Sağer, Alireza Sedaghatdoost, Yusuf Yayli
Mathematics and Statistics Faculty Research & Creative Works
In this paper, we investigate the representation of curves on the lightlike cone ℚ³₂ in Minkowski space ℝ⁴₂ by structure functions. In addition, with this representation, we classify all of the null curves on the lightlike cone ℚ³₂ in four types, and we obtain a natural Frenet frame for these null curves. Furthermore, for this natural Frenet frame, we calculate curvature functions of a null curve, especially the curvature function κ₂ = 0 , and we show that any null curve on the lightlike cone is a helix. Finally, we find all curves with constant curvature functions.
Set Operation Aided Network For Action Units Detection, Huiyuan Yang, Taoyue Wang, Lijun Yin
Set Operation Aided Network For Action Units Detection, Huiyuan Yang, Taoyue Wang, Lijun Yin
Computer Science Faculty Research & Creative Works
As a large number of parameters exist in deep model-based methods, training such models usually requires many fully AU-annotated facial images. This is true with regard to the number of frames in two widely used datasets: BP4D [31] and DISFA [18], while those frames were captured from a small number of subjects (41, 27 respectively). This is problematic, as subjects produce highly consistent facial muscle movements, adding more frames per subject would only adds more close points in the feature space, and thus the classifier does not benefit from those extra frames. Data augmentation methods can be applied to alleviate …
An Eeg-Based Multi-Modal Emotion Database With Both Posed And Authentic Facial Actions For Emotion Analysis, Xiaotian Li, Xiang Zhang, Huiyuan Yang, Wenna Duan, Weiying Dai, Lijun Yin
An Eeg-Based Multi-Modal Emotion Database With Both Posed And Authentic Facial Actions For Emotion Analysis, Xiaotian Li, Xiang Zhang, Huiyuan Yang, Wenna Duan, Weiying Dai, Lijun Yin
Computer Science Faculty Research & Creative Works
Emotion is an experience associated with a particular pattern of physiological activity along with different physiological, behavioral and cognitive changes. One behavioral change is facial expression, which has been studied extensively over the past few decades. Facial behavior varies with a person's emotion according to differences in terms of culture, personality, age, context, and environment. In recent years, physiological activities have been used to study emotional responses. A typical signal is the electroencephalogram (EEG), which measures brain activity. Most of existing EEG-based emotion analysis has overlooked the role of facial expression changes. There exits little research on the relationship between …
Contextual-Bandit Anomaly Detection For Iot Data In Distributed Hierarchical Edge Computing, Mao V. Ngo, Tie Luo, Hakima Chaouchi, Tony Q.S. Quek
Contextual-Bandit Anomaly Detection For Iot Data In Distributed Hierarchical Edge Computing, Mao V. Ngo, Tie Luo, Hakima Chaouchi, Tony Q.S. Quek
Computer Science Faculty Research & Creative Works
Advances in deep neural networks (DNN) greatly bolster real-time detection of anomalous IoT data. However, IoT devices can hardly afford complex DNN models, and offloading anomaly detection tasks to the cloud incurs long delay. In this paper, we propose and build a demo for an adaptive anomaly detection approach for distributed hierarchical edge computing (HEC) systems to solve this problem, for both univariate and multivariate IoT data. First, we construct multiple anomaly detection DNN models with increasing complexity and associate each model with a layer in HEC from bottom to top. Then, we design an adaptive scheme to select one …
Groundwater Withdrawal Prediction Using Integrated Multitemporal Remote Sensing Data Sets And Machine Learning, S. Majumdar, Ryan G. Smith, J. J. Butler, V. Lakshmi
Groundwater Withdrawal Prediction Using Integrated Multitemporal Remote Sensing Data Sets And Machine Learning, S. Majumdar, Ryan G. Smith, J. J. Butler, V. Lakshmi
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
Effective monitoring of groundwater withdrawals is necessary to help mitigate the negative impacts of aquifer depletion. In this study, we develop a holistic approach that combines water balance components with a machine learning model to estimate groundwater withdrawals. We use both multitemporal satellite and modeled data from sensors that measure different components of the water balance and land use at varying spatial and temporal resolutions. These remote sensing products include evapotranspiration, precipitation, and land cover. Due to the inherent complexity of integrating these data sets and subsequently relating them to groundwater withdrawals using physical models, we apply random forests -- …
Drastic Vegetation Change In The Guajira Peninsula (Colombia) During The Neogene, Carlos Jaramillo, Pierre Sepulchre, Damian Cardenas, Francisca Oboh-Ikuenobe, For Full List Of Authors, See Publisher's Website.
Drastic Vegetation Change In The Guajira Peninsula (Colombia) During The Neogene, Carlos Jaramillo, Pierre Sepulchre, Damian Cardenas, Francisca Oboh-Ikuenobe, For Full List Of Authors, See Publisher's Website.
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
Dry biomes occupy ~35% of the landscape in the Neotropics, but these are heavily human-disturbed. In spite of their importance, we still do not fully understand their origins and how they are sustained. The Guajira Peninsula in northern Colombia is dominated by dry biomes and has a rich Neogene fossil record. Here, we have analyzed its changes in vegetation and precipitation during the Neogene using a fossil pollen and spore dataset of 20 samples taken from a well and we also dated the stratigraphic sequence using microfossils. In addition, we analyzed the pollen and spore contents of 10 Holocene samples …
Efficient Yield Estimation Of Multiband Patch Antennas By Polynomial Chaos-Based Kriging, Leifur Leifsson, Xiaosong Du, Slawomir Koziel
Efficient Yield Estimation Of Multiband Patch Antennas By Polynomial Chaos-Based Kriging, Leifur Leifsson, Xiaosong Du, Slawomir Koziel
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Yield estimation of antenna systems is important to check their robustness with respect to the uncertain sources. Since direct Monte Carlo sampling of accurate physics-based models can be computationally intensive, this work proposes the use of the polynomial chaos–Kriging (PC-Kriging) metamodeling method for fast yield estimation of multiband patch antennas. PC-Kriging integrates the polynomial chaos expansion (PCE) as the trend function of Kriging metamodel since the PCE is good at capturing the function tendency and Kriging is good at matching the observations at training points. The PC-Kriging method is demonstrated on two analytical cases and two multiband patch antenna cases …
Gwtc-2: Compact Binary Coalescences Observed By Ligo And Virgo During The First Half Of The Third Observing Run, R. Abbott, T. D. Abbott, Marco Cavaglia, For Full List Of Authors, Download The Pdf.
Gwtc-2: Compact Binary Coalescences Observed By Ligo And Virgo During The First Half Of The Third Observing Run, R. Abbott, T. D. Abbott, Marco Cavaglia, For Full List Of Authors, Download The Pdf.
Physics Faculty Research & Creative Works
We report on gravitational wave discoveries from compact binary coalescences detected by Advanced LIGO and Advanced Virgo between 1 April 2019 15:00 UTC and 1 October 2019 15:00 UTC. By imposing a false-alarm-rate threshold of two per year in each of the four search pipelines that constitute our search, we present 39 candidate gravitational wave events. At this threshold, we expect a contamination fraction of less than 10%. Of these, 26 candidate events were reported previously in near real-time through GCN Notices and Circulars; 13 are reported here for the first time. The catalog contains events whose sources are black …
Detection Of Corrosion-Indicating Oxidation Product Colors In Steel Bridges Under Varying Illuminations, Shadows, And Wetting Conditions, Dayakar L. Naik, Hizb Ullah Sajid, Ravi Kiran, Genda Chen
Detection Of Corrosion-Indicating Oxidation Product Colors In Steel Bridges Under Varying Illuminations, Shadows, And Wetting Conditions, Dayakar L. Naik, Hizb Ullah Sajid, Ravi Kiran, Genda Chen
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Early detection of corrosion in steel bridges is essential for strategizing the mitigation of further corrosion damage. Although various image-based approaches are available in the literature for corrosion detection, most of these approaches are tested on images acquired under uniform natural daylight illuminations i.e., inherent variations in the ambient lighting conditions are ignored. Owing to the fact that varying natural daylight illuminations, shadows, water wetting, and oil wetting are unavoidable in real-world scenarios, it is important to devise a robust technique for corrosion identification. In the current study, four different color spaces namely ‘RGB’, ‘rgb’, ‘HSV’ and ‘CIE La*b*’ along …
Semi-Annual Progress Report #7, Missouri University Of Science And Technology. Inspire - University Transportation Center
Semi-Annual Progress Report #7, Missouri University Of Science And Technology. Inspire - University Transportation Center
Semi-Annual Progress Reports
No abstract provided.
Corrigendum To “Biosynthesis Of Desferrioxamine Siderophores Initiated By Decarboxylases: A Functional Investigation Of Two Lysine/Ornithine-Decarboxylases From Gordonia Rubripertincta Cwb2 And Pimelobacter Simplex Vkm Ac-2033d” [Arch. Biochem. Biophys. 689 (2020) 108429] (Archives Of Biochemistry And Biophysics (2020) 689, (S0003986120304380), (10.1016/J.Abb.2020.108429)), Marika Hofmann, Julia S. Martin Del Campo, Pablo Sobrado, Dirk Tischler
Corrigendum To “Biosynthesis Of Desferrioxamine Siderophores Initiated By Decarboxylases: A Functional Investigation Of Two Lysine/Ornithine-Decarboxylases From Gordonia Rubripertincta Cwb2 And Pimelobacter Simplex Vkm Ac-2033d” [Arch. Biochem. Biophys. 689 (2020) 108429] (Archives Of Biochemistry And Biophysics (2020) 689, (S0003986120304380), (10.1016/J.Abb.2020.108429)), Marika Hofmann, Julia S. Martin Del Campo, Pablo Sobrado, Dirk Tischler
Chemistry Faculty Research & Creative Works
The authors regret that mistakenly the wrong strain was named in the article title. The decarboxylase gene psdesA originates from Pimelobacter simplex VKM Ac-2033D, not from Pimelobacter simplex 3E. The authors would like to apologize for any inconvenience caused.
Communicating Uncertain Information From Deep Learning Models In Human Machine Teams, Harishankar V. Subramanian, Casey I. Canfield, Daniel Burton Shank, Luke Andrews, Cihan H. Dagli
Communicating Uncertain Information From Deep Learning Models In Human Machine Teams, Harishankar V. Subramanian, Casey I. Canfield, Daniel Burton Shank, Luke Andrews, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
The role of human-machine teams in society is increasing, as big data and computing power explode. One popular approach to AI is deep learning, which is useful for classification, feature identification, and predictive modeling. However, deep learning models often suffer from inadequate transparency and poor explainability. One aspect of human systems integration is the design of interfaces that support human decision-making. AI models have multiple types of uncertainty embedded, which may be difficult for users to understand. Humans that use these tools need to understand how much they should trust the AI. This study evaluates one simple approach for communicating …
Evidence For Target Outer-Shell Excitation Mediated By Electron Correlation In Single-Electron-Capture Collisions Of Slow He²⁺ Ions With Ar Atoms, Z. Y. Song, X. C. Wang, Z. W. Li, K. L. Han, Daniel Fischer
Evidence For Target Outer-Shell Excitation Mediated By Electron Correlation In Single-Electron-Capture Collisions Of Slow He²⁺ Ions With Ar Atoms, Z. Y. Song, X. C. Wang, Z. W. Li, K. L. Han, Daniel Fischer
Physics Faculty Research & Creative Works
We have performed kinematically complete experiments on single-electron capture in slow He2+-Ar collisions. Besides the pure capture to the He+ (n = 2) level, capture into the deep He+ ( n= 1) state with simultaneous excitation of another target electron is also observed. In contrast to the pure capture, the total cross section for this two-electron transition decreases with increasing collision energy, and its angular-differential cross section exhibits a much slighter slope. We take these observations as evidence for electron capture mediated by electron-electron interactions.
Competition Between Solvent-Solvent And Solvent-Solute Interactions In The Microhydration Of The Hexafluorophosphate Anion, Pf6⁻(H2o)N=1,2, Yasmeen A. Abdo, Gregory S. Tschumper
Competition Between Solvent-Solvent And Solvent-Solute Interactions In The Microhydration Of The Hexafluorophosphate Anion, Pf6⁻(H2o)N=1,2, Yasmeen A. Abdo, Gregory S. Tschumper
Chemistry Faculty Research & Creative Works
This study systematically examines the interactions of the hexafluorophosphate anion (PF6-) with one or two solvent water molecules (PF6-(H2O)n where n = 1, 2). Full geometry optimizations and subsequent harmonic vibrational frequency computations are performed on each stationary point using a variety of common density functional theory methods (B3LYP, B3LYP-D3, M06-2X, and ωB97XD) and the MP2 and CCSD(T) ab initio methods with a triple-ζ correlation consistent basis set augmented with diffuse functions on all non-hydrogen atoms (cc-pVTZ for H and aug-cc-pVTZ for P, O, and F; denoted as haTZ). Five new stationary …
Fluctuations And Correlations Of Transmission Eigenchannels In Diffusive Media, Nicholas Bender, Alexey Yamilov, Hasan Yllmaz, Hui Cao
Fluctuations And Correlations Of Transmission Eigenchannels In Diffusive Media, Nicholas Bender, Alexey Yamilov, Hasan Yllmaz, Hui Cao
Physics Faculty Research & Creative Works
Selective excitation of a diffusive system's transmission eigenchannels enables manipulation of its internal energy distribution. The fluctuations and correlations of the eigenchannel's spatial profiles, however, remain unexplored so far. Here we show that the depth profiles of high-transmission eigenchannels exhibit low realization-to-realization fluctuations. Furthermore, our experimental and numerical studies reveal the existence of interchannel correlations, which are significant for low-transmission eigenchannels. Because high-transmission eigenchannels are robust and independent from other eigenchannels, they can reliably deliver energy deep inside turbid media.
Adaptive Multimodal Fusion For Facial Action Units Recognition, Huiyuan Yang, Taoyue Wang, Lijun Yin
Adaptive Multimodal Fusion For Facial Action Units Recognition, Huiyuan Yang, Taoyue Wang, Lijun Yin
Computer Science Faculty Research & Creative Works
Multimodal facial action units (AU) recognition aims to build models that are capable of processing, correlating, and integrating information from multiple modalities (i.e., 2D images from a visual sensor, 3D geometry from 3D imaging, and thermal images from an infrared sensor). Although the multimodal data can provide rich information, there are two challenges that have to be addressed when learning from multimodal data: 1) the model must capture the complex cross-modal interactions in order to utilize the additional and mutual information effectively; 2) the model must be robust enough in the circumstance of unexpected data corruptions during testing, in case …
Synchronverter-Based Control Of Multi-Port Autonomous Reconfigurable Solar Plants (Mars), Phani R.V. Marthi, Suman Debnath, Mariesa L. Crow
Synchronverter-Based Control Of Multi-Port Autonomous Reconfigurable Solar Plants (Mars), Phani R.V. Marthi, Suman Debnath, Mariesa L. Crow
Electrical and Computer Engineering Faculty Research & Creative Works
Control of integrated photovoltaic (PV) plants with energy storage systems (ESSs) has become an important research and development topic in recent times. In this context, a Multi-port Autonomous Reconfigurable Solar (MARS) plant that integrates PV and ESS to alternating current transmission grid and high-voltage direct current (HVdc) link is studied in this paper. With penetration of power electronic based resources in the grid, the grid's capability to recover from frequency or voltage disturbances are reduced. Therefore, one of the vital objectives of any new grid integrated power electronic resource is to provide advanced control functions like voltage and frequency support …