Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Engineering (6650)
- Physical Sciences and Mathematics (2968)
- Civil and Environmental Engineering (2149)
- Electrical and Computer Engineering (1606)
- Physics (1115)
-
- Geotechnical Engineering (1068)
- Computer Sciences (916)
- Chemical Engineering (790)
- Mechanical Engineering (650)
- Materials Science and Engineering (611)
- Chemistry (488)
- Structural Engineering (430)
- Civil Engineering (358)
- Aerospace Engineering (326)
- Earth Sciences (314)
- Mining Engineering (313)
- Operations Research, Systems Engineering and Industrial Engineering (295)
- Geology (270)
- Metallurgy (260)
- Petroleum Engineering (251)
- Biochemical and Biomolecular Engineering (187)
- Ceramic Materials (185)
- Architecture (172)
- Architectural Engineering (166)
- Social and Behavioral Sciences (164)
- Mathematics (155)
- Statistics and Probability (145)
- Geological Engineering (142)
- Nuclear Engineering (133)
- Geophysics and Seismology (121)
- Keyword
-
- Machine learning (38)
- Quantum Theory (36)
- Neural Nets (33)
- Electrodynamics (31)
- Hydrogen (29)
-
- Neural Networks (28)
- Deep learning (27)
- Ionization (26)
- Voltage Control (26)
- Machine Learning (25)
- Neurocontrollers (25)
- Mathematical Models (24)
- Simulation (24)
- Electrons (23)
- Power Electronics (23)
- Power System Control (23)
- Atoms (22)
- Electromagnetic Interference (22)
- Modeling (22)
- Security (22)
- Stability (22)
- Algorithms (21)
- Learning (Artificial Intelligence) (21)
- Photons (21)
- Electromagnetic Compatibility (20)
- Optimal Control (20)
- Article (19)
- Helium (19)
- Printed Circuit Boards (19)
- Classification (18)
- Publication Year
- Publication
-
- Masters Theses (2096)
- The Missouri Miner Newspaper (1109)
- Electrical and Computer Engineering Faculty Research & Creative Works (1020)
- Doctoral Dissertations (952)
- Physics Faculty Research & Creative Works (868)
-
- International Conference on Case Histories in Geotechnical Engineering (545)
- International Conferences on Recent Advances in Geotechnical Earthquake Engineering and Soil Dynamics (512)
- Computer Science Faculty Research & Creative Works (388)
- Chemistry Faculty Research & Creative Works (316)
- Civil, Architectural and Environmental Engineering Faculty Research & Creative Works (315)
- Mechanical and Aerospace Engineering Faculty Research & Creative Works (308)
- Materials Science and Engineering Faculty Research & Creative Works (221)
- Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works (214)
- CCFSS Proceedings of International Specialty Conference on Cold-Formed Steel Structures (1971 - 2018) (207)
- Chemical and Biochemical Engineering Faculty Research & Creative Works (190)
- Computer Science Technical Reports (147)
- Engineering Management and Systems Engineering Faculty Research & Creative Works (139)
- Missouri S&T Magazine (112)
- Professional Degree Theses (105)
- UMR-MEC Conference on Energy / UMR-DNR Conference on Energy (100)
- Mathematics and Statistics Faculty Research & Creative Works (92)
- Opportunities for Undergraduate Research Experience Program (OURE) (78)
- Bachelors Theses (72)
- Symposia on Turbulence in Liquids (70)
- CCFSS Library (1939 - present) (68)
- American Iron and Steel Institute (AISI) Specifications, Standards, Manuals and Research Reports (1946 - present) (61)
- Biological Sciences Faculty Research & Creative Works (56)
- Mining Engineering Faculty Research & Creative Works (55)
- Business and Information Technology Faculty Research & Creative Works (48)
- Minutes & Agendas (44)
Articles 451 - 480 of 10900
Full-Text Articles in Entire DC Network
Doing Personal Laps: Llm-Augmented Dialogue Construction For Personalized Multi-Session Conversational Search, Hideaki Joko, Shubham Chatterjee, Andrew Ramsay, Arjen P. De Vries, Jeff Dalton, Faegheh Hasibi
Doing Personal Laps: Llm-Augmented Dialogue Construction For Personalized Multi-Session Conversational Search, Hideaki Joko, Shubham Chatterjee, Andrew Ramsay, Arjen P. De Vries, Jeff Dalton, Faegheh Hasibi
Computer Science Faculty Research & Creative Works
The future of conversational agents will provide users with personalized information responses. However, a significant challenge in developing models is the lack of large-scale dialogue datasets that span multiple sessions and reflect real-world user preferences. Previous approaches rely on experts in a wizard-of-oz setup that is difficult to scale, particularly for personalized tasks. Our method, LAPS, addresses this by using large language models (LLMs) to guide a single human worker in generating personalized dialogues. This method has proven to speed up the creation process and improve quality. LAPS can collect large-scale, human-written, multi-session, and multi-domain conversations, including extracting user preferences. …
Trec Ikat 2023: A Test Collection For Evaluating Conversational And Interactive Knowledge Assistants, Mohammad Aliannejadi, Zahra Abbasiantaeb, Shubham Chatterjee, Jeffrey Dalton, Leif Azzopardi
Trec Ikat 2023: A Test Collection For Evaluating Conversational And Interactive Knowledge Assistants, Mohammad Aliannejadi, Zahra Abbasiantaeb, Shubham Chatterjee, Jeffrey Dalton, Leif Azzopardi
Computer Science Faculty Research & Creative Works
Conversational information seeking has evolved rapidly in the last few years with the development of Large Language Models (LLMs), providing the basis for interpreting and responding in a naturalistic manner to user requests. The extended TREC Interactive Knowledge Assistance Track (iKAT) collection aims to enable researchers to test and evaluate their Conversational Search Agent (CSA). The collection contains a set of 36 personalized dialogues over 20 different topics each coupled with a Personal Text Knowledge Base (PTKB) that defines the bespoke user personas. A total of 344 turns with approximately 26,000 passages are provided as assessments on relevance, as well …
Early Detection Of Pipeline Natural Gas Leakage From Hyperspectral Imaging By Vegetation Indicators And Deep Neural Networks, Pengfei Ma, Tarutal Ghosh Mondal, Zhenhua Shi, Mohammad Hossein Afsharmovahed, Kevin Romans, Liujun Li, Ying Zhuo, Genda Chen
Early Detection Of Pipeline Natural Gas Leakage From Hyperspectral Imaging By Vegetation Indicators And Deep Neural Networks, Pengfei Ma, Tarutal Ghosh Mondal, Zhenhua Shi, Mohammad Hossein Afsharmovahed, Kevin Romans, Liujun Li, Ying Zhuo, Genda Chen
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
The timely detection of underground natural gas (NG) leaks in pipeline transmission systems presents a promising opportunity for reducing the potential greenhouse gas (GHG) emission. However, existing techniques face notable limitations for prompt detection. This study explores the utility of Vegetation Indicators (VIs) to reflect vegetation health deterioration, thereby representing leak-induced stress. Despite the acknowledged potential of VIs, their sensitivity and separability remain understudied. In this study, we employed ground vegetation as biosensors for detecting methane emissions from underground pipelines. Hyperspectral imaging from vegetation was collected weekly at both plant and leaf scales over two months to facilitate stress detection …
Effective Data Sharing In An Edge-Cloud Model: Security Challenges And Solutions, Arijit Karati, Sajal K. Das
Effective Data Sharing In An Edge-Cloud Model: Security Challenges And Solutions, Arijit Karati, Sajal K. Das
Computer Science Faculty Research & Creative Works
The proposed protocol offers privacy-preserving authentication across several cloud platforms, flexible key management for consumer data protection, and effective user revocation. Performance evaluation demonstrates that the proposed framework supports low latency, safe unified remote access, and data privacy in the contemporary edge-enabled environment.
New Method To Calculate Friction Velocity In Smooth Channel Flows Using Direct Numerical Simulation Data, Harshit Mishra, S. Karan Venayagamoorthy
New Method To Calculate Friction Velocity In Smooth Channel Flows Using Direct Numerical Simulation Data, Harshit Mishra, S. Karan Venayagamoorthy
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
In this paper, we leverage the direct numerical simulation (DNS) data for closed-channel flow for a range of friction Reynolds number (Reτ∼180-5,000) to develop a new one-point friction velocity method (OPFVM) to calculate friction velocity U∗ in terms of free-surface velocity Um, flow depth h, and kinematic viscosity ν. In contrast to prevalent methods that require several cumbersome near boundary measurements to obtain friction velocity, the OPFVM relies on a single easy-to-measure free-surface velocity measurement. The formulation is used to obtain friction velocity for a closed-channel flow (CCF) DNS regime with Reτ=10,049 and on four open-channel flow (OCF) DNS regimes …
Optical Frequency Domain Reflectometry-Based High-Performance Distributed Sensing Empowered By A Data And Physics-Driven Neural Network, Zhaopeng Zhang, Wei Peng, Osamah Alsalman, Lingmei Ma, Jie Huang, Chen Zhu
Optical Frequency Domain Reflectometry-Based High-Performance Distributed Sensing Empowered By A Data And Physics-Driven Neural Network, Zhaopeng Zhang, Wei Peng, Osamah Alsalman, Lingmei Ma, Jie Huang, Chen Zhu
Electrical and Computer Engineering Faculty Research & Creative Works
Optical frequency domain reflectometry (OFDR) based distributed strain sensors are the preferred choice for achieving accurate strain measurements over extensive sensing ranges while maintaining exceptional spatial resolution. However, the simultaneous realization of high spatial resolution, high strain resolution, large strain range, and an extended sensing range presents an exceedingly challenging endeavor. In this study, we introduce and experimentally demonstrate a data and physics-driven neural network-empowered OFDR system designed to attain high-performance distributed sensing. In our experiments, we successfully maintained an impressive sensing resolution of sub-microstrain (0.91 µε) alongside a sharp spatial resolution of sub-millimeter (0.857 mm) across a 140-m sensing …
Predicting Iot Distributed Ledger Fraud Transactions With A Lightweight Gan Network, Charles Rawlins, Jagannathan Sarangapani
Predicting Iot Distributed Ledger Fraud Transactions With A Lightweight Gan Network, Charles Rawlins, Jagannathan Sarangapani
Electrical and Computer Engineering Faculty Research & Creative Works
Decision-making and consensus in traditional blockchain protocols is formulated as a repeated Bernoulli trial that solves a computationally intense lottery puzzle, called Proof-of-Work (PoW) in Bitcoin. This approach has shown robustness through practice but does not scale with increasing network size and generation of new transactions. Resource constrained Internet of Things (IoT) networks are incompatible with full computation of schemes like Bitcoin's PoW. Our effort proposes a first step towards an alternative consensus using machine learning-based decision-making with prediction of fraud transactions to alleviate need for intense computation. To improve base approval probabilities for fraud detection in an ideal security …
Freezing-Thawing Hysteretic Behavior Of Soils, Jidong Teng, Antai Dong, Sheng Zhang, Xiong Zhang, Daichao Sheng
Freezing-Thawing Hysteretic Behavior Of Soils, Jidong Teng, Antai Dong, Sheng Zhang, Xiong Zhang, Daichao Sheng
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
The soil freezing characteristic curve (SFCC) plays a crucial role in investigating the soil freezing-thawing process. Due to the challenges associated with measuring the SFCC, there is a shortage of high-quality or rigorous test results with sufficient metadata to be effectively used for applications. Current researchers typically conduct freezing tests to measure the SFCC and assume a singular SFCC when studying the freezing-thawing process of soils, although limited studies indicated that there is a hysteresis during the freezing and thawing process. In this paper, a series of freezing-thawing tests were performed to assess the SFCC, utilizing a precise nuclear magnetic …
Eighth-Order Foldy-Wouthuysen Transformation, Ulrich D. Jentschura
Eighth-Order Foldy-Wouthuysen Transformation, Ulrich D. Jentschura
Physics Faculty Research & Creative Works
The calculation of higher-order binding corrections to bound systems is a fundamental problem of theoretical physics. For any nonrelativistic expansion, one needs the Foldy-Wouthuysen transformation, which disentangles the particle and the antiparticle degrees of freedom. This transformation is carried out here to eighth order in the momenta or to eighth order in the momentum operators, which is equivalent to the eighth order of the fine-structure constant. Matrix elements of the eighth-order terms are evaluated for F5/2 and F7/2 states in hydrogenlike ions and compared with the Dirac-Coulomb energy levels.
Induction Vacuum Swing Adsorption Over Magnetic Sorbent Monoliths And Extrudates For Ethylene/Ethane Separation, Khaled Baamran, Usman Shareef, Fateme Rezaei
Induction Vacuum Swing Adsorption Over Magnetic Sorbent Monoliths And Extrudates For Ethylene/Ethane Separation, Khaled Baamran, Usman Shareef, Fateme Rezaei
Chemical and Biochemical Engineering Faculty Research & Creative Works
Electrification of adsorption processes is emerging as an adaptable solution for future gas separations. This study develops magnetic sorbent structures for use in induction vacuum swing adsorption (IVSA) process specifically designed for olefin/paraffin separation. Two sorbents, namely Fe3O4/ZIF-7 (ethane-selective) and Fe3O4/13X (ethylene-selective) were developed and formulated into extrudates (Fe20/ZIF-7-P) and monoliths (Fe20/13X-M), and tested under different regeneration scenarios, including simultaneous and subsequent induction-evacuation, induction only, and evacuation only. The dynamic adsorption results demonstrated that regeneration under subsequent induction-evacuation improves desorption rate and capability. Under this regeneration scenario, Fe …
Final Report - Smart Sounding System For Autonomous Evaluation Of Concrete And Metallic Structures, Anil K. Agrawal, Deepak Kumar
Final Report - Smart Sounding System For Autonomous Evaluation Of Concrete And Metallic Structures, Anil K. Agrawal, Deepak Kumar
Project IM-3
Recent research by the authors has shown that the sounding, such as chirp signal, can be generated by electronic speakers, and their magnitude and frequency can be controlled. Unlike mechanical impact hammers, the electronic sounding is consistent and can be designed with controlled frequency characteristics to excite defects in concrete decks. Another significant limitation of mechanical impact hammers is that the bottom of a deck cannot be conventionally sounded, and determination of precise location of the damaged area is a challenge. To address these limitations, a “smart sounding system” has been developed that can be used to inspect the underdeck …
Thermal Stability Of Amorphous Metal Oxides: The Interplay Of Secondary Cations, Degree Of Substitution, And Local Structure, Li Zeng, D. Bruce Buchholz, Denis T. Keane, Tobin J. Marks, Julia E. Medvedeva, Michael J. Bedzyk
Thermal Stability Of Amorphous Metal Oxides: The Interplay Of Secondary Cations, Degree Of Substitution, And Local Structure, Li Zeng, D. Bruce Buchholz, Denis T. Keane, Tobin J. Marks, Julia E. Medvedeva, Michael J. Bedzyk
Physics Faculty Research & Creative Works
Indium-based amorphous metal oxides (AMOs) are important materials that enable a wide range of electronic and optoelectronic applications. The metal cations that substitute for In are known to effectively tune the material properties as well as to retain the desirable amorphous state when subjected to high operating temperatures. While much attention focuses on property tuning, there is less focus on those fundamental factors that enhance thermal stability. Hence, in this paper, we employ in situ X-ray scattering and ab initio molecular dynamics (MD) to systematically study the effects of secondary cations on the crystallization process. A series of amorphous (In …
Interpenetrated Lattices Of Quaternary Chalcogenides Displaying Magnetic Frustration, High Na-Ion Conductivity, And Cation Redox In Na-Ion Batteries, Santhoshkumar Sundaramoorthy, Srikanth Balijapelly, Sudip Mohapatra, Sutapa Bhattacharya, Kartik Ghosh, Amitava Choudhury
Interpenetrated Lattices Of Quaternary Chalcogenides Displaying Magnetic Frustration, High Na-Ion Conductivity, And Cation Redox In Na-Ion Batteries, Santhoshkumar Sundaramoorthy, Srikanth Balijapelly, Sudip Mohapatra, Sutapa Bhattacharya, Kartik Ghosh, Amitava Choudhury
Chemistry Faculty Research & Creative Works
A series of quaternary selenides, NaxMGaSe4 (M = Mn, Fe, and mixed Zn/Fe), have been synthesized for the first time employing a high-temperature solid-state synthesis route through stochiometric or polychalcogenide flux reactions. Along with the selenides, a previously reported sulfide analogue, NaxFeGaS4, is also revisited with new findings. These compounds form an interpenetrated structure made up of a supertetrahedral unit. The electrochemical evaluations exhibit a reversible (de)intercalation of ∼0.6 and ∼0.45 Na-ions, respectively, from Na2.87FeGaS4 (1a) and Na2.5FeGaSe4 (2) involving Fe2+/Fe3+ redox when cycled between 1.5 and 2.5 …
New Generation Graphenes In Cement-Based Materials: Production, Property Enhancement, And Life Cycle Analysis, Sahil Surehali, Sayee Srikarah Volaity, Aswathy Simon, Ranjith Divigalpitiya, Aditya Kumar, Narayanan Neithalath
New Generation Graphenes In Cement-Based Materials: Production, Property Enhancement, And Life Cycle Analysis, Sahil Surehali, Sayee Srikarah Volaity, Aswathy Simon, Ranjith Divigalpitiya, Aditya Kumar, Narayanan Neithalath
Materials Science and Engineering Faculty Research & Creative Works
Several studies have explored the use of graphene to improve the properties of cement-based materials. However, most commercially available graphenes are expensive, not amenable to mass production, and have high embodied energy and emissions, making their use in concrete less attractive, despite the beneficial mechanical property attributes. This paper discusses the use of two novel graphene types, fractal graphene (FG) and reactive graphene (RG), obtained through a cost-effective and scalable detonation synthesis, in cement-based materials. FG and RG are sheets containing 6-10 layers, with lateral dimensions of 20-50 nm and a z-axis thickness of RG, when added at very small …
Differential Methylation Region Detection Via An Array-Adaptive Normalized Kernelweighted Model, Daniel Alhassan, Gayla R. Olbricht, Akim Adekpedjou
Differential Methylation Region Detection Via An Array-Adaptive Normalized Kernelweighted Model, Daniel Alhassan, Gayla R. Olbricht, Akim Adekpedjou
Mathematics and Statistics Faculty Research & Creative Works
A differentially methylated region (DMR) is a genomic region that has significantly different methylation patterns between biological conditions. Identifying DMRs between different biological conditions is critical for developing disease biomarkers. Although methods for detecting DMRs in microarray data have been introduced, developing methods with high precision, recall, and accuracy in determining the true length of DMRs remains a challenge. In this study, we propose a normalized kernel-weighted model to account for similar methylation profiles using the relative probe distance from "nearby" CpG sites. We also extend this model by proposing an array-adaptive version in attempt to account for the differences …
Lithospheric Evolution Of The South-Central United States Constrained By Joint Inversion Of Receiver Functions And Surface Wave Dispersion, Tuo Wang, Stephen S. Gao, Kelly H. Liu, Kevin L. Mickus, Ling Chen
Lithospheric Evolution Of The South-Central United States Constrained By Joint Inversion Of Receiver Functions And Surface Wave Dispersion, Tuo Wang, Stephen S. Gao, Kelly H. Liu, Kevin L. Mickus, Ling Chen
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
In the present study, we use broadband seismic data recorded by 190 stations of the EarthScope program's Transportable Array to construct a 3-D shear wave velocity model for the upper 180 km using a non-linear Bayesian Monte-Carlo joint inversion of receiver functions (RFs) and Rayleigh wave dispersion curves. Ambient noise and teleseismic data are used for obtaining Rayleigh wave phase velocity dispersion curves. A resonance removal filtering technique is applied to the RFs contaminated by reverberations from the thick sedimentary layers that cover most of the region. Our observations of the higher crustal shear velocities (∼3.40 km/s) beneath the Sabine …
Forecasting Future Research Trends In The Construction Engineering And Management Domain Using Machine Learning And Social Network Analysis, Gasser G. Ali, Islam H. El-Adaway, Muaz O. Ahmed, Radwa Eissa, Mohamad Abdul Nabi, Tamima Elbashbishy, Ramy Khalef
Forecasting Future Research Trends In The Construction Engineering And Management Domain Using Machine Learning And Social Network Analysis, Gasser G. Ali, Islam H. El-Adaway, Muaz O. Ahmed, Radwa Eissa, Mohamad Abdul Nabi, Tamima Elbashbishy, Ramy Khalef
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Construction Engineering and Management (CEM) is a broad domain with publications covering interrelated subdisciplines and considered a key source of knowledge sharing. Previous studies used scientometric methods to assess the current impact of CEM publications; however, there is a need to predict future citations of CEM publications to identify the expected high-impact trends in the future and guide new research efforts. To tackle this gap in the literature, the authors conducted a study using Machine Learning (ML) algorithms and Social Network Analysis (SNA) to predict CEM-related citation metrics. Using a dataset of 93,868 publications, the authors trained and tested two …
An Editorial For The Special Issue “Processing And Application Of Weather Radar Data”, Youcun Qi, Zhe Zhang, Zhanfeng Zhao, Bong Chul Seo, Huiqi Li
An Editorial For The Special Issue “Processing And Application Of Weather Radar Data”, Youcun Qi, Zhe Zhang, Zhanfeng Zhao, Bong Chul Seo, Huiqi Li
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
No abstract provided.
Final Report - A Field Deployable Wall-Climbing Robot For Bridge Inspection Using Vision And Impact Sounding Techniques, Jizhong Xiao, Ejup Hoxha, David Kirakosian
Final Report - A Field Deployable Wall-Climbing Robot For Bridge Inspection Using Vision And Impact Sounding Techniques, Jizhong Xiao, Ejup Hoxha, David Kirakosian
Project AS-6
This project developed two wall-climbing robots and two omni-directional ground robots for automated data collection on both horizontal and vertical surfaces of concrete structures. These robots are equipped with non-destructive evaluation (NDE) sensors, including ground penetrating radar (GPR), impact sounding (IS) and impact echo (IE) devices. Utilizing a vision-based positioning system powered by simultaneous localization and mapping (V-SLAM), the robots tag NDE data with real-time pose information, significantly accelerating the data collection process and enhancing the accuracy of defect mapping. While effective at detecting shallow defects, impact sounding is highly sensitive to ambient noise and unsuitable for identifying deeper flaws. …
Visible-Light Photocatalytic C-H Amination Of Arenes Utilizing Acridine-Lewis Acid Complexes, Matthew R. Lasky, En Chih Liu, Matthew S. Remy, Melanie S. Sanford
Visible-Light Photocatalytic C-H Amination Of Arenes Utilizing Acridine-Lewis Acid Complexes, Matthew R. Lasky, En Chih Liu, Matthew S. Remy, Melanie S. Sanford
Chemistry Faculty Research & Creative Works
This report describes the development of a visible-light photocatalytic system for C(sp2)-H amination that leverages in situ-generated photocatalysts. We demonstrate that the combination of acridine derivatives and Lewis acids form potent photooxidants that promote the C-H amination of electronically diverse arenes upon irradiation with visible-light (440 nm). A first-generation photocatalyst composed of Sc (OTf)3 and acridine effects the C-H amination of substrates with oxidation potentials ≤ +2.5 V vs SCE with pyrazole, triazole, and pyridine nucleophiles. Furthermore, the simplicity and modularity of this system enable variation of both Lewis acid and acridine to tune reactivity. This enabled …
Energetic Cost Of Biosynthesis Is A Missing Link Between Growth And Longevity In Mammals, Chen Hou
Energetic Cost Of Biosynthesis Is A Missing Link Between Growth And Longevity In Mammals, Chen Hou
Biological Sciences Faculty Research & Creative Works
The Comparative Studies of Aging Have Established a Negative Correlation between Gompertz Postnatal Growth Constant and Maximum Lifespan Across Mammalian Species, But the Underlying Physiological Mechanism Remains Unclear. This Study Shows that the Gompertz Growth Constant Can Be Decomposed into Two Energetic Components, Mass-Specific Metabolic Rate and the Energetic Cost of Biosynthesis, and that after Controlling the Former as a Confounder, the Negative Correlation between Growth Constant and Lifespan Still Exists Due to a 100-Fold Variation in the Latter, Revealing that the Energetic Cost of Biosynthesis is a Link between Growth and Longevity in Mammals. Previously, the Energetic Cost of …
Scalable Pythagorean Mean-Based Incident Detection In Smart Transportation Systems, Md Jaminur Islam, Jose Paolo Talusan, Shameek Bhattacharjee, Francis Tiausas, Abhishek Dubey, Keiichi Yasumoto, Sajal K. Das
Scalable Pythagorean Mean-Based Incident Detection In Smart Transportation Systems, Md Jaminur Islam, Jose Paolo Talusan, Shameek Bhattacharjee, Francis Tiausas, Abhishek Dubey, Keiichi Yasumoto, Sajal K. Das
Computer Science Faculty Research & Creative Works
Modern smart cities need smart transportation solutions to quickly detect various traffic emergencies and incidents in the city to avoid cascading traffic disruptions. to materialize this, roadside units and ambient transportation sensors are being deployed to collect speed data that enables the monitoring of traffic conditions on each road segment. in this article, we first propose a scalable data-driven anomaly-Based traffic incident detection framework for a city-scale smart transportation system. Specifically, we propose an incremental region growing approximation algorithm for optimal Spatio-temporal clustering of road segments and their data; such that road segments are strategically divided into highly correlated clusters. …
Hls Taking Flight: Toward Using High-Level Synthesis Techniques In A Space-Borne Instrument, Marion Sudvarg, Chenfeng Zhao, Ye Htet, Meagan Konst, Thomas Lang, Nick Song, Roger D. Chamberlain, Jeremy Buhler, James H. Buckley
Hls Taking Flight: Toward Using High-Level Synthesis Techniques In A Space-Borne Instrument, Marion Sudvarg, Chenfeng Zhao, Ye Htet, Meagan Konst, Thomas Lang, Nick Song, Roger D. Chamberlain, Jeremy Buhler, James H. Buckley
Computer Science Faculty Research & Creative Works
FPGAs are widely deployed on high-energy astrophysics telescopes to preprocess and reduce sensor data read out by front-end electronics. Across instruments, these computational pipelines have similar semantics, sharing common stages such as pedestal subtraction, signal integration, zero-suppression, island detection, and centroiding. However, diverse telescope designs require unique implementations of these algorithms, and the logic is often rewritten from scratch for a new instrument. As an alternative, High-Level Synthesis (HLS) tools enable these algorithms to be implemented in a high-level language, which eases modifications and enables fast prototyping and deployment. Nonetheless, writing performant HLS code requires augmentation of the code with …
Mental Health And Traumatic Occupational Exposure In Wildland Fire Dispatchers, Robin M. Verble, Rachel Granberg, Seth Pearson, Charlene Rogers, Roman Watson
Mental Health And Traumatic Occupational Exposure In Wildland Fire Dispatchers, Robin M. Verble, Rachel Granberg, Seth Pearson, Charlene Rogers, Roman Watson
Biological Sciences Faculty Research & Creative Works
Wildland Fire Dispatchers Play a Key Role in Wildland Fire Management and Response Organization; However, to Date, Wildland Fire Studies Have Largely Focused on the Physical Hazards And, to a Lesser Extent, Mental Health Hazards of Wildland Firefighting Operational Personnel, and Dispatcher Studies Have Primarily Focused on 911 and Police Dispatchers. Studies of Other Dispatchers Have Provided Some Limited Insight into Potential Strains Impacting This Workforce, Including Work-Related Fatigue, Burnout, and Traumatic Exposure. However, the Specific Job Hazards that Are Faced by Wildland Fire Dispatchers Are Poorly Understood. in 2023, We Conducted a Cross-Sectional Survey of 510 Wildland Fire Dispatchers …
Dimensional Regularization And Two-Loop Vacuum Polarization Operator: Master Integrals, Analytic Results, And Energy Shifts, Stefano Laporta, Ulrich D. Jentschura
Dimensional Regularization And Two-Loop Vacuum Polarization Operator: Master Integrals, Analytic Results, And Energy Shifts, Stefano Laporta, Ulrich D. Jentschura
Physics Faculty Research & Creative Works
We Present a Complete Reevaluation of the Irreducible Two-Loop Vacuum-Polarization Correction to the Photon Propagator in Quantum Electrodynamics, i.e. with an Electron-Positron Pair in the Fermion Propagators. the Integration is Carried Out by Reducing the Integrations to a Limited Set of Master Integrals, Which Are Calculated using Integration-By-Parts Identities. Dimensional Regularization is Used in D=4-2ϵ Dimensions, and On-Mass Shell Renormalization is Employed. the One-Loop Effect is Given to Order ϵ, to Be Combined with the 1/ϵ Divergence of the Two-Loop Amplitude. Master Integrals Are Given. Final Evaluations of Two-Loop Energy Shifts for 1S, 2S, and 2P States Are Done Analytically, …
Transfer-Learning-Enhanced Regression Generative Adversarial Networks For Optimal Evtol Takeoff Trajectory Prediction, Shuan Tai Yeh, Xiaosong Du
Transfer-Learning-Enhanced Regression Generative Adversarial Networks For Optimal Evtol Takeoff Trajectory Prediction, Shuan Tai Yeh, Xiaosong Du
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Electric vertical takeoff and landing (eVTOL) aircraft represent a crucial aviation technology to transform future transportation systems. The unique characteristics of eVTOL aircraft include reduced noise, low pollutant emission, efficient operating cost, and flexible maneuverability, which in the meantime pose critical challenges to advanced power retention techniques. Thus, optimal takeoff trajectory design is essential due to immense power demands during eVTOL takeoffs. Conventional design optimizations, however, adopt high-fidelity simulation models in an iterative manner resulting in a computationally intensive mechanism. In this work, we implement a surrogate-enabled inverse mapping optimization architecture, i.e., directly predicting optimal designs from design requirements (including …
Reflections On Linear B, (Part 3): The Egyptian Cat-God Mau, Gerald Leonard Cohen
Reflections On Linear B, (Part 3): The Egyptian Cat-God Mau, Gerald Leonard Cohen
Arts, Languages and Philosophy Faculty Research & Creative Works
The cat figure in Linear B sign 80 (with antecedents) likely derives ultimately from the nightly defeat of the Egyptian god of chaos (Apep, aka Apophis) by the sun god Ra, who took the form of the divine cat Mau. An alternative interpretation is set forth in Ferrara and Weingarten 2022, which sees the cat portrayals for wool or woolen products in Cretan Hieroglyphics as traceable to the cat sound /ma/ appearing by coincidence in Greek μαλλός ‘wool’ (possibly of pre-Greek origin). Perhaps both factors played a role (multiple causation).
Modeling Inflation Transmission Among Different Construction Materials, Mohamad Abdul Nabi, Islam H. El-Adaway, Rayan H. Assaad
Modeling Inflation Transmission Among Different Construction Materials, Mohamad Abdul Nabi, Islam H. El-Adaway, Rayan H. Assaad
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Cost estimating in the construction industry is challenging due to the high uncertainty associated with the supply chain, especially after the COVID-19 pandemic. Some research studies have addressed such problems by developing models that predict material cost. In fact, all material can be interconnected and interrelated with lead-lag relationships such that any inflation in one material's price can be associated with inflation in other materials' prices, referred to as transmission of inflation. Despite the latter, none of the existing studies have investigated inflation transmission among all construction materials. This paper fills this knowledge gap. The authors used a multistep research …
A Tilted Broad Plume Underneath The Greenland Cratonic Keels, Dan Wang, Stephen S. Gao, Yangyang Liao, Kelly H. Liu
A Tilted Broad Plume Underneath The Greenland Cratonic Keels, Dan Wang, Stephen S. Gao, Yangyang Liao, Kelly H. Liu
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
To advance our comprehension of the complex geological history and mantle dynamics in the north atlantic region, we employ all available broadband seismic data recorded in greenland to reveal an abnormal mantle transition zone (mtz) structure. Central and eastern greenland exhibits depressed 410 and 660 km discontinuities (d410 and d660, respectively) bordering the mtz, indicative of a substantial thermal anomaly associated with an underlying plume, surpassing the 1,800°c threshold for post-garnet phase transitions at the d660. Variations in mtz thickness across greenland stem from differing temperature anomalies at the d410 and d660, possibly linked to a tilted plume within the …
Rotational Spectrum, Structure, And Quadrupole Coupling Of Cyclopropylchloromethyldifluorosilane, Alexander R. Davies, Abanob G. Hanna, Alma Lutas, Gamil A. Guirgis, Garry S. Grubbs
Rotational Spectrum, Structure, And Quadrupole Coupling Of Cyclopropylchloromethyldifluorosilane, Alexander R. Davies, Abanob G. Hanna, Alma Lutas, Gamil A. Guirgis, Garry S. Grubbs
Chemistry Faculty Research & Creative Works
Cyclopropylchloromethyldifluorosilane, C-C3H5SiF2CH2Cl, Has Been Synthesized, and its Rotational Spectrum Has Been Recorded by Chirped-Pulse Fourier Transform Microwave Spectroscopy. the Spectral Analysis of Several Isotopologues Indicates the Presence of Two Distinct Conformations in the Free-Jet Expansion, Which Are Interconvertible through a Rotation of the Chloromethyl Group. a Partial Substitution Structure is Presented for the Lower Energy Conformation and is Compared to the Equilibrium Structure Obtained from Quantum Chemical Calculations. Additionally, the Presence of the Chlorine Nucleus Leads to the Rotational Transitions Splitting into Multiple Hyperfine Components and Χaa, a Measure of the Electric Field Gradient Along the a Axis, is Unusually …