Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Physical Sciences and Mathematics (41179)
- Civil and Environmental Engineering (40080)
- Electrical and Computer Engineering (37154)
- Mechanical Engineering (30239)
- Computer Engineering (25750)
-
- Computer Sciences (17451)
- Materials Science and Engineering (16792)
- Chemical Engineering (14260)
- Operations Research, Systems Engineering and Industrial Engineering (13955)
- Civil Engineering (11839)
- Biomedical Engineering and Bioengineering (11560)
- Aerospace Engineering (11196)
- Education (8228)
- Social and Behavioral Sciences (8050)
- Environmental Sciences (7007)
- Life Sciences (6360)
- Arts and Humanities (6255)
- Environmental Engineering (6148)
- Transportation Engineering (5939)
- Engineering Science and Materials (5758)
- Electrical and Electronics (5738)
- Energy Systems (5672)
- Artificial Intelligence and Robotics (5498)
- Other Mechanical Engineering (5100)
- Medicine and Health Sciences (4773)
- Geotechnical Engineering (4598)
- Mining Engineering (4591)
- Construction Engineering and Management (4479)
- Business (4370)
- Institution
-
- Missouri University of Science and Technology (21775)
- University of Nebraska - Lincoln (11227)
- California Polytechnic State University, San Luis Obispo (7990)
- University of Kentucky (6356)
- Purdue University (6335)
-
- Air Force Institute of Technology (5742)
- Utah State University (5452)
- Brigham Young University (4860)
- Old Dominion University (4743)
- University of Central Florida (4636)
- Technological University Dublin (4619)
- New Jersey Institute of Technology (4346)
- China Simulation Federation (3924)
- Chulalongkorn University (3655)
- Wright State University (3445)
- Embry-Riddle Aeronautical University (3313)
- University of Texas at Arlington (3185)
- TÜBİTAK (3106)
- Engineering Conferences International (2957)
- University of Arkansas, Fayetteville (2904)
- Louisiana State University (2841)
- Portland State University (2813)
- Michigan Technological University (2632)
- Clemson University (2609)
- University of South Carolina (2397)
- University of Texas at El Paso (2169)
- Marquette University (2104)
- Chinese Chemical Society | Xiamen University (2032)
- University of New Mexico (1931)
- Washington University in St. Louis (1830)
- Keyword
-
- Engineering (2860)
- Machine learning (1464)
- Optimization (1222)
- Simulation (1174)
- Applied sciences (1099)
-
- Construction (903)
- Sustainability (878)
- Design (874)
- Machine Learning (843)
- Deep learning (819)
- Modeling (751)
- Additive manufacturing (581)
- Concrete (552)
- Safety (538)
- Computer Science (535)
- Architecture (525)
- Artificial intelligence (514)
- Building (499)
- Nanoparticles (481)
- Robotics (477)
- Education (466)
- CFD (453)
- Energy (446)
- UAV (444)
- Corrosion (443)
- Engineering education (426)
- Conference (411)
- ASME (401)
- Proceedings (401)
- Mechanical Engineering (391)
- Publication Year
-
- 2026 (6061)
- 2025 (8722)
- 2024 (9318)
- 2023 (9825)
- 2022 (9389)
-
- 2021 (10037)
- 2020 (10652)
- 2019 (10511)
- 2018 (8954)
- 2017 (8354)
- 2016 (9651)
- 2015 (7571)
- 2014 (7308)
- 2013 (7338)
- 2012 (6360)
- 2011 (5881)
- 2010 (5435)
- 2009 (4177)
- 2008 (4201)
- 2007 (3837)
- 2006 (3384)
- 2005 (3061)
- 2004 (2777)
- 2003 (2065)
- 2002 (1792)
- 2001 (1774)
- 1999 (1304)
- 1998 (1355)
- 1993 (1342)
- 1991 (1362)
- Publication
-
- Theses and Dissertations (11565)
- Electronic Theses and Dissertations (4149)
- Masters Theses (3933)
- Journal of System Simulation (3924)
- Theses (3520)
-
- Electrical and Computer Engineering Faculty Research & Creative Works (3455)
- Nebraska Tractor Tests (3402)
- Faculty Publications (3291)
- Turkish Journal of Electrical Engineering and Computer Sciences (3106)
- Chulalongkorn University Theses and Dissertations (Chula ETD) (2554)
- International Conference on Case Histories in Geotechnical Engineering (2055)
- Journal of Electrochemistry (2032)
- Master's Theses (2029)
- Dissertations (1901)
- Kentucky Transportation Center Research Report (1824)
- Coal Geology & Exploration (1822)
- Doctoral Dissertations (1811)
- International Conferences on Recent Advances in Geotechnical Earthquake Engineering and Soil Dynamics (1566)
- USF Tampa Graduate Theses and Dissertations (1499)
- Articles (1408)
- Browse all Theses and Dissertations (1369)
- Open Access Theses & Dissertations (1323)
- Computer Science & Engineering Syllabi (1312)
- LSU Master's Theses (1312)
- Journal of Marine Science and Technology–Taiwan (1299)
- Mechanical and Aerospace Engineering Faculty Research & Creative Works (1278)
- Civil, Architectural and Environmental Engineering Faculty Research & Creative Works (1267)
- Publications (1260)
- All Theses (1247)
- Graduate Theses and Dissertations (1238)
- Publication Type
Articles 17551 - 17580 of 198032
Full-Text Articles in Engineering
Smart Airports: Artificial Intelligence–Enabled Internet Of Things Networks Using Blockchain Technology, Edwin Ongola
Smart Airports: Artificial Intelligence–Enabled Internet Of Things Networks Using Blockchain Technology, Edwin Ongola
Journal of Aviation Technology and Engineering
This article provides a perspective on how an internet of heterogeneous self-service airport terminal systems can be used for data collection, which is stored on a private or consortium blockchain depending on the ownership or operations of an airport or both. Such a setup would help to increase efficiency, reduce costs, and improve traveler experience at airport terminals. Moreover, it would allow airports to gather data directly from passengers as opposed to waiting to receive the same data from airlines. Subsequently, this data, now on a blockchain system, becomes a data source for other applications such as machine learning. In …
More Resilience, More Green Berets: A Quantitative Analysis Of The Effects Of Functional Imagery Training During British Army Commando Training, Emma S. J. Yates
More Resilience, More Green Berets: A Quantitative Analysis Of The Effects Of Functional Imagery Training During British Army Commando Training, Emma S. J. Yates
The Plymouth Student Scientist
This study investigates the low completion rates of the British Army commando training course in 2018-2019, recorded at 20%, following concerns raised by course Directing Staff. It examines the relationship between resilience and performance in military contexts and evaluates whether resilience-building interventions can improve completion rates. To establish how completion rates could be improved, sixty-two candidates from three commando training cohorts were recruited and assigned to either a Functional Imagery Training (FIT) intervention or a control group. Interventions were delivered in week one of training with a booster in week five. FIT, a goal-centred imagery intervention, has previously improved resilience-related …
Generative Algorithms For Art And Architecture: A Collaborative Teaching Approach, Sam Keene, Benjamin Aranda
Generative Algorithms For Art And Architecture: A Collaborative Teaching Approach, Sam Keene, Benjamin Aranda
Tradition Innovations in Arts, Design, and Media Higher Education
We will present a course that we have been offering for the past few years that engages art, architecture and engineering students and challenges them to collaborate using generative methods to produce creative work. Our work contributes to the long-term understanding of AI in the arts and design in higher education because we have developed a successful course model focused on collaboration between creatives and technologists that can be replicated at other institutions. Feedback between creatives and technologists has been fundamental to opening new frontiers, giving students the tools to collaborate successfully is tremendously important. We will share example of …
Space Program: Center For Space Research - Austin, Texas #3, Robert J. Twiggs
Space Program: Center For Space Research - Austin, Texas #3, Robert J. Twiggs
Robert "Bob" Twiggs STEM Education Collection
A PowerPoint presentation created by Professor Bob Twiggs titled "Space Program: Center for Space Research - Austin, Texas #3" from July 29, 2024.
Materials Data Science Using Cradle: A Distributed, Data-Centric Approach, Thomas G. Ciardi, Arafath Nihar, Rounak Chawla, Olatunde Akanbi, Pawan K. Tripathi, Yinghui Wu, Vipin Chaudhary, Roger H. French
Materials Data Science Using Cradle: A Distributed, Data-Centric Approach, Thomas G. Ciardi, Arafath Nihar, Rounak Chawla, Olatunde Akanbi, Pawan K. Tripathi, Yinghui Wu, Vipin Chaudhary, Roger H. French
Faculty Scholarship
There is a paradigm shift towards data-centric AI, where model efficacy relies on quality, unified data. The common research analytics and data lifecycle environment (CRADLE™) is an infrastructure and framework that supports a data-centric paradigm and materials data science at scale through heterogeneous data management, elastic scaling, and accessible interfaces. We demonstrate CRADLE’s capabilities through five materials science studies: phase identification in X-ray diffraction, defect segmentation in X-ray computed tomography, polymer crystallization analysis in atomic force microscopy, feature extraction from additive manufacturing, and geospatial data fusion. CRADLE catalyzes scalable, reproducible insights to transform how data is captured, stored, and analyzed.
Space Program: Center For Space Research - Austin, Texas #2, Robert J. Twiggs
Space Program: Center For Space Research - Austin, Texas #2, Robert J. Twiggs
Robert "Bob" Twiggs STEM Education Collection
A PowerPoint presentation created by Professor Bob Twiggs titled "Space Program: Center for Space Research - Austin, Texas #2" from July 29, 2024.
Empirical Algorithms For Estimating Downwelling Light Attenuation At Λ=490 Nm From Sentinel-2 In A Narrow Optically Complex Bay, Plymouth Sound, United Kingdom, Louis J. Thornton
Empirical Algorithms For Estimating Downwelling Light Attenuation At Λ=490 Nm From Sentinel-2 In A Narrow Optically Complex Bay, Plymouth Sound, United Kingdom, Louis J. Thornton
The Plymouth Student Scientist
This study investigates the potential of reflectance band ratios, modelled on Sentinel-2’s MultiSpectral Instrument (MSI) bands 10m resolution to estimate the downwelling attenuation coefficient for planar irradiance, Kd(λ), at 490nm (Kd(490)) in Plymouth Sound. Kd(λ) is vital for characterising subsurface light climate, strongly influencing physical and biogeochemical processes in coastal and oceanic waters. In temperate shelf seas, human activities have led to loss in vitality and spatial extent of structurally complex seabed, emphasizing the need for enhanced monitoring. Satellite-based remote sensing (RS) offers spatial and temporal advantages to conventional in situ methods. There are, however two main inadequacies that persist …
The Wellbeing Benefits Of Exposure To Nature: The Difference Between Environment Types On Different Wellbeing Types, Lily-Mae Petherick
The Wellbeing Benefits Of Exposure To Nature: The Difference Between Environment Types On Different Wellbeing Types, Lily-Mae Petherick
The Plymouth Student Scientist
The world is facing a mental health crisis, thus implementing measures to improve wellbeing is a global priority. One way of combating this worldwide issue is through the well-known wellbeing benefits of nature. However, natural environments include more than just the well-known green spaces, and wellbeing encompasses multiple components. Consequently, this study compares the wellbeing outcomes of virtual exposure to a green space, blue space, and urban environment on both hedonic (pleasure) and eudaimonic wellbeing (meaningfulness). A factorial design was employed in which 96 University of Plymouth students watched one stressor video and then one of three environment videos (green, …
Personalized Driving Using Inverse Reinforcement Learning, Rodrigo J. Gonzalez Salinas
Personalized Driving Using Inverse Reinforcement Learning, Rodrigo J. Gonzalez Salinas
Theses and Dissertations
This thesis introduces an autonomous driving controller designed to replicate individual driving behaviors based on a provided demonstration. The controller employs Inverse Reinforcement Learning (IRL) to formulate the reward function associated with the provided demonstration. IRL is implemented through a dual-feedback loop system. The inner loop utilizes Q-learning, a model-free reinforcement learning technique, to optimize the Hamilton-Jacobi-Bellman (HJB) equation and derive an appropriate control solution. The outer loop leverages this derived control solution to generate parameters for the reward function, which are subsequently integrated into the HJB equation. The ultimate control policy is deduced from the final reward function obtained …
Space Radiation Assessment And Mitigation: Meeting The Growing Demand For Shielding Solutions By Enhancing Models And Exploring Novel Shielding Opportunities, M. Laura Sorgi Johann
Space Radiation Assessment And Mitigation: Meeting The Growing Demand For Shielding Solutions By Enhancing Models And Exploring Novel Shielding Opportunities, M. Laura Sorgi Johann
Doctoral Dissertations and Master's Theses
The rapid growth of satellite technology and the increasing presence of vulnerable technology and human life in space have highlighted the need for improved shielding materials. Industry standard protocols for shielding are being pushed to their limits as we gain a deeper understanding of the harsh space environment and as chip sizes approach the scale of radiation wavelengths. Furthermore, the commercialization of space is attracting interest from industries such as pharmaceuticals and semiconductor crystal growing, as they explore the potential benefits of zero-gravity production environments. However, the eagerness to develop lighter shielding and the lack of consideration for existing tools …
Development Of Cyclic Scb Test For Evaluating Fatigue Cracking Resistance Of Asphalt Mixture At Intermediate Temperature, Ye Ma
LSU Doctoral Dissertations
Asphalt pavements are subjected to premature cracking due to traffic loading and environmental effects. The Semi-Circular Bending (SCB) test has been traditionally conducted in a monotonic, displacement-controlled mode at intermediate temperature to assess the fatigue crack resistance of asphalt mixtures. However, fatigue damage is essentially deterioration in material integrity as a result of repeated loading. This study aims to develop a cyclic SCB test to characterize the fatigue cracking properties of asphalt mixture utilizing Paris’ Law model. A secondary goal is to apply the Paris’ Law coefficients measured from the developed cyclic SCB test in predicting the fatigue life of …
Advances In Electrocatalytic Dehydrogenation Of Ethylamine To Acetonitrile, Yanlin Zhu, Dezhen Wu, Jinyao Tang, Dakota Braaten, Bin Liu, Zhenmeng Peng
Advances In Electrocatalytic Dehydrogenation Of Ethylamine To Acetonitrile, Yanlin Zhu, Dezhen Wu, Jinyao Tang, Dakota Braaten, Bin Liu, Zhenmeng Peng
Faculty Publications
The electrocatalytic dehydrogenation of ethylamine (EDH), owing to its high hydrogen content, holds broad prospects in electrochemical hydrogen (H2) production, H2 storage, and addressing energy issues, thus deserving wide attention. In this feature article, we first summarized the fundamentals of thermocatalytic and electrocatalytic EDH and reviewed the recent state-of-the-art advances in catalyst research, specifically platinum group metal (PGM) catalysts and non-PGM catalysts. We systematically discussed the potential applications of electrocatalytic EDH in energy storage and conversion. Finally, we provide our perspective on the key challenges and future developments in this field. We believe this feature article will offer helpful guidance …
Opening And Constructing Stable Lithium-Ion Channels Within Polymer Electrolytes, Yangmingyue Zhao, Libo Li, Da Zhou, Yue Ma, Yonghong Zhang, Hang Yang, Shubo Fan, Hao Tong, Suo Li, Wenhua Qu
Opening And Constructing Stable Lithium-Ion Channels Within Polymer Electrolytes, Yangmingyue Zhao, Libo Li, Da Zhou, Yue Ma, Yonghong Zhang, Hang Yang, Shubo Fan, Hao Tong, Suo Li, Wenhua Qu
School of Integrative Biological & Chemical Sciences Faculty Publications
Lithium-ion batteries play an integral role in various aspects of daily life, yet there is a pressing need to enhance their safety and cycling stability. In this study, we have successfully developed a highly secure and flexible solid-state polymer electrolyte (SPE) through the in-situ polymerization of allyl acetoacetate (AAA) monomers. This SPE constructed an efficient Li+ transport channel inside and effectively improved the solid-solid interface contact of solid-state batteries to reduce interfacial impedance. Furthermore, it exhibited excellent thermal stability, an ionic conductivity of 3.82×10-4 S cm-1 at room temperature (RT), and a Li+ transport number (tLi+) of 0.66. The numerous …
Tension–Compression Fatigue Of A Hybrid Polymer-Matrix/Ceramic-Matrix Composite At Elevated Temperature, Marina B. Ruggles-Wrenn, Joshua Schmidt
Tension–Compression Fatigue Of A Hybrid Polymer-Matrix/Ceramic-Matrix Composite At Elevated Temperature, Marina B. Ruggles-Wrenn, Joshua Schmidt
Faculty Publications
Fully reversed tension–compression fatigue of a hybrid material comprising polymer matrix composite (PMC) co-cured with a ceramic matrix composite (CMC) was investigated. The PMC portion had a polyimide matrix reinforced with 15 plies of carbon fibers woven in an eight-harness satin weave (8HSW). The CMC portion had three plies of a quartz-fiber 8HSW fabric in a zirconia-based ceramic matrix. The hybrid PMC/CMC was developed for use in aerospace thermal protection systems (TPS). Hence, the experimental setup aimed to simulate the TPS service environment—the CMC side was kept at 329 °C, whereas the PMC side was open to laboratory air. Compression …
Improving Biomimetic Passive Dynamics Of A Quadruped Robot Hind Leg Hip Joint With A 3d Printed Torsion Spring, Haonan Zheng
Improving Biomimetic Passive Dynamics Of A Quadruped Robot Hind Leg Hip Joint With A 3d Printed Torsion Spring, Haonan Zheng
Dissertations and Theses
The Agile and Adaptive Robotics Lab is interested in researching the neuromuscular control network of legged animal locomotion. To validate the lab's understanding of biological neural control, synthetic neural networks are developed and applied to biologically inspired legged robots. For a synthetic neural network to operate in the same manner as a biological neural network and produce the same locomotor behavior, the robot that the synthetic neural network is controlling must also mimic its biological counterpart. Previous research produced a quadruped robot hind leg designed with biomimetic passive dynamics by installing spring and damper pairs at each joint, however, an …
Experimental Study On The Effect Of Micro Concentrations Of Hybrid Nanofluids Through Microchannel Heat Sinks, Mohamed Salaheldin Elsherbiny, Moustafa Ali, Moatsem Shahin, Mahmoud El-Kady
Experimental Study On The Effect Of Micro Concentrations Of Hybrid Nanofluids Through Microchannel Heat Sinks, Mohamed Salaheldin Elsherbiny, Moustafa Ali, Moatsem Shahin, Mahmoud El-Kady
Renewable Mechanical Energy
The current study examines the convective heat transfer coefficient experimentally. It assesses the performance of Al2O3, CuO, ZnO, and Ag/ distilled water nanofluids up to a tetra level of hybridization utilized in microprocessor cooling systems equipped with MCHS. An equal ratio of 50%, 33.3%, and 25% for di-, tri-, and tetra-nanofluids, respectively, with a focus on micro-volume fraction 0.025% and comparing it with 0.05%. Operating conditions were as follows: heat loading from 136.4 up to 196.4 watts; and flow rate from 0.35 up to 0.5 LPM. The findings showed that all types of mono nanofluids showed an increase in Nu …
The Effect Of Tio2 On The Electrochemical Performance Of Sb2o3 Anodes For Li-Ion Batteries, Kithzia Gomez, Elizabeth M. Fletes, Jason Parsons, Mataz Alcoutlabi
The Effect Of Tio2 On The Electrochemical Performance Of Sb2o3 Anodes For Li-Ion Batteries, Kithzia Gomez, Elizabeth M. Fletes, Jason Parsons, Mataz Alcoutlabi
Mechanical Engineering Faculty Publications
Antimony (Sb) and its composites have been recognized as potentially good anode materials for lithium-ion batteries (LIBs) due to their relatively high theoretical capacity of 660 mAh g−1 and to their low cost. However, Sb-based anodes suffer from a high-volume change during the lithiation/delithiation process that results in capacity fading and anode degradation after prolonged charge/discharge cycles. To address this issue, Sb2O3/TiO2 nanocomposite electrodes can be synthesized and used as anodes for LIBs with high capacity and good electrochemical stability. In the present work, TiO2@Sb2O3 composites with different (TiO2:Sb2O3) ratios of 0:1, 1:1, 1:4 and 3:1 were synthesized and directly …
Series Reports From Professor Wei’S Group Of Chongqing University: Advancements In Electrochemical Energy Conversions (1/4): Report 1: High-Performance Oxygen Reduction Catalysts For Fuel Cells, Fa-Dong Chen, Zhuo-Yang Xie, Meng-Ting Li, Si-Guo Chen, Wei Ding, Li Li, Jing Li, Zi-Dong Wei
Series Reports From Professor Wei’S Group Of Chongqing University: Advancements In Electrochemical Energy Conversions (1/4): Report 1: High-Performance Oxygen Reduction Catalysts For Fuel Cells, Fa-Dong Chen, Zhuo-Yang Xie, Meng-Ting Li, Si-Guo Chen, Wei Ding, Li Li, Jing Li, Zi-Dong Wei
Journal of Electrochemistry
Two major challenges, high cost and short lifespan, have been hindering the commercialization process of low-temperature fuel cells. Professor Wei’s group has been focusing on decreasing cathode Pt loadings without losses of activity and durability, and their research advances in this area over the past three decades are briefly reviewed herein. Regarding the Pt-based catalysts and the low Pt usage, they have firstly tried to clarify the degradation mechanism of Pt/C catalysts, and then demonstrated that the activity and stability could be improved by three strategies: regulating the nanostructures of the active sites, enhancing the effects of support materials, and …
Kai Wu, The Editorial Board Member Of Journal Of Electrochemistry And Chief Scientist Of Catl, Receives The National Science And Technology Progress Award, Editorial Office Of J.Electrochem.
Kai Wu, The Editorial Board Member Of Journal Of Electrochemistry And Chief Scientist Of Catl, Receives The National Science And Technology Progress Award, Editorial Office Of J.Electrochem.
Journal of Electrochemistry
No abstract provided.
Sorbitol-Electrolyte-Additive Based Reversible Zinc Electrochemistry, Qiong Sun, Hai-Hui Du, Tian-Jiang Sun, Dian-Tao Li, Min Cheng, Jing Liang, Hai-Xia Li, Zhan-Liang Tao
Sorbitol-Electrolyte-Additive Based Reversible Zinc Electrochemistry, Qiong Sun, Hai-Hui Du, Tian-Jiang Sun, Dian-Tao Li, Min Cheng, Jing Liang, Hai-Xia Li, Zhan-Liang Tao
Journal of Electrochemistry
The unstable zinc (Zn)/electrolyte interfaces formed by undesired dendrites and parasitic side reactions greatly hinder the development of aqueous zinc ion batteries. Herein, the hydroxy-rich sorbitol was used as an additive to reshape the solvation structure and modulate the interface chemistry. The strong interactions among sorbitol and both water molecules and Zn electrode can reduce the free water activity, optimize the solvation shell of water and Zn2+ ions, and regulate the formation of local water (H2O)-poor environment on the surface of Zn electrode, which effectively inhibit the decomposition of water molecules, and thus, achieve the thermodynamically stable …
First Announcement Of 76th Annual Meeting Of The International Society Of Electrochemistry, International Society Of Electrochemistry (Ise)
First Announcement Of 76th Annual Meeting Of The International Society Of Electrochemistry, International Society Of Electrochemistry (Ise)
Journal of Electrochemistry
No abstract provided.
Data-Driven Viewpoint For Developing Next-Generation Mg-Ion Solid-State Electrolytes, Fang-Ling Yang, Ryuhei Sato, Eric Jian-Feng Cheng, Kazuaki Kisu, Qian Wang, Xue Jia, Shin-Ichi Orimo, Hao Li
Data-Driven Viewpoint For Developing Next-Generation Mg-Ion Solid-State Electrolytes, Fang-Ling Yang, Ryuhei Sato, Eric Jian-Feng Cheng, Kazuaki Kisu, Qian Wang, Xue Jia, Shin-Ichi Orimo, Hao Li
Journal of Electrochemistry
Magnesium (Mg) is a promising alternative to lithium (Li) in solid-state batteries due to its abundance and high theoretical volumetric capacity. However, the sluggish Mg-ion conduction in the lattice of solid-state electrolytes (SSEs) is one of the key challenges that hamper the development of Mg-ion solid-state batteries. Though various Mg-ion SSEs have been reported in recent years, key insights are hard to be derived from a single literature report. Besides, the structure-performance relationships of Mg-ion SSEs need to be further unraveled to provide a more precise design guideline for SSEs. In this Viewpoints article, we analyze the structural characteristics of …
Professor Yong Yang, The Editorial Board Member Of Journal Of Electrochemistry, Is Elected As A Fellow Of The Electrochemical Society, Editorial Office Of J.Electrochem.
Professor Yong Yang, The Editorial Board Member Of Journal Of Electrochemistry, Is Elected As A Fellow Of The Electrochemical Society, Editorial Office Of J.Electrochem.
Journal of Electrochemistry
No abstract provided.
An Optimization-Based Monte Carlo Method For Estimating The Two-Terminal Survival Signature Of Networks With Two Component Classes, Daniel B. Lopes Da Silva, Kelly M. Sullivan
An Optimization-Based Monte Carlo Method For Estimating The Two-Terminal Survival Signature Of Networks With Two Component Classes, Daniel B. Lopes Da Silva, Kelly M. Sullivan
Industrial Engineering Faculty Publications and Presentations
Evaluating two-terminal network reliability is a classical problem with numerous applications. Because this problem is #𝖯-Complete, practical studies involving large systems commonly resort to approximating or estimating system reliability rather than evaluating it exactly. Researchers have characterized signatures, such as the destruction spectrum and survival signature, which summarize the system's structure and give rise to procedures for evaluating or approximating network reliability. These procedures are advantageous if the signature can be computed efficiently; however, computing the signature is challenging for complex systems. With this motivation, we consider the use of Monte Carlo (MC) simulation to estimate the survival signature of …
Exploring Small-Scale Propellers Performance At Low Advance Ratios, Ali Akber Mollick, Sara Catto, Forrest E. Ames, Clement Tang
Exploring Small-Scale Propellers Performance At Low Advance Ratios, Ali Akber Mollick, Sara Catto, Forrest E. Ames, Clement Tang
Mechanical Engineering Student Publications
The performance of small-scale propellers was experimentally measured at low advance ratios and Reynolds numbers. The propeller diameters range from 14 to 19 inches, with all propellers having the same pitch value of 12. Using a thrust stand situated in a low-speed open-circuit wind tunnel, the propeller thrust, torque, and angular speed were measured at various freestream velocities. The results from this study offer insights on the performance of small propellers at low advance ratios and low Reynolds numbers. Propeller performance results at these conditions tend to be limited in the literatures. At the same pitch value of 12, the …
Integrated Multi-Omics Analysis Of Cerebrospinal Fluid In Postoperative Delirium, Bridget A. Tripp, Simon T. Dillon, Min Yuan, John M. Asara, Sarinnapha M. Vasunilashorn, Tamara G. Fong, Sharon K. Inouye, Long H. Ngo, Edward R. Marcantonio, Zhongcong Xie, Towia A. Libermann, Hasan H. Otu
Integrated Multi-Omics Analysis Of Cerebrospinal Fluid In Postoperative Delirium, Bridget A. Tripp, Simon T. Dillon, Min Yuan, John M. Asara, Sarinnapha M. Vasunilashorn, Tamara G. Fong, Sharon K. Inouye, Long H. Ngo, Edward R. Marcantonio, Zhongcong Xie, Towia A. Libermann, Hasan H. Otu
Department of Electrical and Computer Engineering: Faculty Publications
Preoperative risk biomarkers for delirium may aid in identifying high-risk patients and developing intervention therapies, which would minimize the health and economic burden of postoperative delirium. Previous studies have typically used single omics approaches to identify such biomarkers. Preoperative cerebrospinal fluid (CSF) from the Healthier Postoperative Recovery study of adults ≥ 63 years old undergoing elective major orthopedic surgery was used in a matched pair delirium case–no delirium control design. We performed metabolomics and lipidomics, which were combined with our previously reported proteomics results on the same samples. Differential expression, clustering, classification, and systems biology analyses were applied to individual …
A New Approach: Ordinal Predictive Maintenance With Ensemble Binary Decomposition (Opmeb), Ozlem Ece Yurek, Derya Birant
A New Approach: Ordinal Predictive Maintenance With Ensemble Binary Decomposition (Opmeb), Ozlem Ece Yurek, Derya Birant
Turkish Journal of Electrical Engineering and Computer Sciences
Predictive maintenance (PdM), a fundamental element of modern industrial systems, employs machine learning to monitor equipment conditions, estimate failure probabilities, and optimize maintenance schedules. Its core objective is to enhance equipment reliability, extend lifespan, and minimize costs through data-driven insights by enabling efficient maintenance scheduling, reducing downtime, and optimizing resource allocation. In this paper, we propose a novel ordinal predictive maintenance with ensemble binary decomposition (OPMEB) method for the PdM domain, considering the hierarchical nature of class labels reflecting the machine's health status, including categories like healthy, low risk, moderate risk, and high risk. The proposed OPMEB method was validated …
Enrichment Of Turkish Question Answering Systems Using Knowledge Graphs, Okan Çi̇ftçi̇, Fati̇h Soygazi̇, Selma Teki̇r
Enrichment Of Turkish Question Answering Systems Using Knowledge Graphs, Okan Çi̇ftçi̇, Fati̇h Soygazi̇, Selma Teki̇r
Turkish Journal of Electrical Engineering and Computer Sciences
Recent capabilities of large language models (LLMs) have transformed many tasks in Natural Language Processing (NLP), including question answering. The state-of-the-art systems do an excellent job of responding in a relevant, persuasive way but cannot guarantee factuality. Knowledge graphs, representing facts as triplets, can be valuable for avoiding errors and inconsistencies with real-world facts. This work introduces a knowledge graph-based approach to Turkish question answering. The proposed approach aims to develop a methodology capable of drawing inferences from a knowledge graph to answer complex multihop questions. We construct the Beyazperde Movie Knowledge Graph (BPMovieKG) and the Turkish Movie Question Answering …
Ensemble Learning For Accurate Prediction Of Heart Sounds Using Gammatonegram Images, Sinam Ashinikumar Singh, Sinam Ajitkumar Singh, Aheibam Dinamani Singh
Ensemble Learning For Accurate Prediction Of Heart Sounds Using Gammatonegram Images, Sinam Ashinikumar Singh, Sinam Ajitkumar Singh, Aheibam Dinamani Singh
Turkish Journal of Electrical Engineering and Computer Sciences
The analysis of heart sound signals constitutes a pivotal domain in healthcare, with the prediction of imbalanced heart sounds offering critical diagnostic insights. However, the inherent diversity in cardiac sound patterns presents a substantial challenge in predicting imbalanced signals. Many scientific disciplines have focused a great deal of emphasis on the problem of class inequality. We introduce an ensemble learning approach employing a convolutional neural network model-based deep learning algorithm to effectively tackle the challenges associated with predicting imbalanced heart sound signals. We use a Gammatone filter bank to extract relevant features from the heard sound signal. Our approach leverages …
Detection And Classification Of Unauthorized Use Of Irrigation Motors In Agricultural Irrigation, Önder Ci̇velek, Sedat Görmüş, Hali̇l İbrahi̇m Okumuş, Orhan Gazi̇ Kederoglu
Detection And Classification Of Unauthorized Use Of Irrigation Motors In Agricultural Irrigation, Önder Ci̇velek, Sedat Görmüş, Hali̇l İbrahi̇m Okumuş, Orhan Gazi̇ Kederoglu
Turkish Journal of Electrical Engineering and Computer Sciences
The decarbonisation of electricity generation requires the real-time monitoring and control of grid components in order to efficiently and timely dispatch demand. This highly automated system, known as the Smart Grid, relies on smart or sensor-equipped distribution network components to optimise energy flow and minimise losses. However, energy theft, a major obstacle to efficient resource utilisation, poses a significant challenge to achieving this goal. This study proposes and evaluates a real-time telemetry and control system designed to mitigate energy theft in agricultural irrigation applications. The system increases energy efficiency by tracking the energy use in agricultural irrigation. The key challenge …