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Full-Text Articles in Engineering

An Analysis Of The Barriers To And Drivers Of Green Public Procurement In Achieving A More Sustainable Construction Industry, Myles Keaveney, Paul Butler Mar 2104

An Analysis Of The Barriers To And Drivers Of Green Public Procurement In Achieving A More Sustainable Construction Industry, Myles Keaveney, Paul Butler

Conference papers

The public sector in Ireland possesses enormous purchasing power which has the strength to affect production and consumption trends in all market sectors. Environmental purchasing tools such as Green Public Procurement (GPP) are seen by many as the solution to greener purchasing decisions in order to obtain and maintain not only a more sustainable construction sector but also a more sustainable economy. The purpose of this research is to determine and examine the key barriers to and drivers of implementing GPP in public procurement departments in order to reduce the effect construction works have on the environment. There was limited ...


Ensemble Of Recurrent Neural Networks With Long Short-Term Memory Cells For High-Rate Structural Health Monitoring, Vahid Barzegar, Simon Laflamme, Chao Hu, Jacob Dodson Feb 2022

Ensemble Of Recurrent Neural Networks With Long Short-Term Memory Cells For High-Rate Structural Health Monitoring, Vahid Barzegar, Simon Laflamme, Chao Hu, Jacob Dodson

Civil, Construction and Environmental Engineering Publications

The deployment of systems experiencing high-rate dynamic events, such as hypersonic vehicles, advanced weaponry, and active blast mitigation systems, require high-rate structural health monitoring (HRSHM) capabilities in the sub-millisecond realm to ensure continuous operations and safety. However, the development of high-rate feedback systems is a complex task because these dynamic systems are uniquely characterized by (1) large uncertainties in their external loads, (2) high levels of non-stationarity and heavy disturbance, and (3) unmodeled dynamics from changes in system configuration. In this paper, we present a deep learning algorithm specifically engineered for HRSHM applications. It consists of an ensemble of recurrent ...


Online Parameter Estimation Under Non-Persistent Excitations For High-Rate Dynamic Systems, Jin Yan, Simon Laflamme, Jonathan Hong, Jacob Dodson Dec 2021

Online Parameter Estimation Under Non-Persistent Excitations For High-Rate Dynamic Systems, Jin Yan, Simon Laflamme, Jonathan Hong, Jacob Dodson

Civil, Construction and Environmental Engineering Publications

High-rate dynamic systems are defined as systems experiencing dynamic events of typical amplitudes higher than 100 gn for a duration of less than 100 ms. They are characterized by 1) large uncertainties on the external loads; 2) high levels of nonstationarity and heavy disturbance; and 3) generation of unmodeled dynamics from changes in mechanical configuration. To fully enable these systems, feedback capabilities must be developed. This includes computationally fast software and low latency hardware. This paper presents a pure time-based online parameter estimation algorithm for high-rate dynamic systems with real-time applicability. The algorithm is based on a model reference ...


Antibody-Drug Nanoparticle Induces Synergistic Treatment Efficacies In Her2 Positive Breast Cancer Cells, Muhammad Raisul Abedin, Kaitlyne Powers, Rachel Aiardo, Dibbya Barua, Sutapa Barua Dec 2021

Antibody-Drug Nanoparticle Induces Synergistic Treatment Efficacies In Her2 Positive Breast Cancer Cells, Muhammad Raisul Abedin, Kaitlyne Powers, Rachel Aiardo, Dibbya Barua, Sutapa Barua

Chemical and Biochemical Engineering Faculty Research & Creative Works

Chemotherapeutic drugs suffer from non-specific binding, undesired toxicity, and poor blood circulation which contribute to poor therapeutic efficacy. In this study, antibody–drug nanoparticles (ADNs) are engineered by synthesizing pure anti-cancer drug nanorods (NRs) in the core of nanoparticles with a therapeutic monoclonal antibody, Trastuzumab on the surface of NRs for specific targeting and synergistic treatments of human epidermal growth factor receptor 2 (HER2) positive breast cancer cells. ADNs were designed by first synthesizing ~ 95 nm diameter × ~ 500 nm long paclitaxel (PTX) NRs using the nanoprecipitation method. The surface of PTXNRs was functionalized at 2′ OH nucleophilic site using carbonyldiimidazole ...


2d Layered Sip As Anisotropic Nonlinear Optical Material, Huseyin Sar, Jie Gao, Xiaodong Yang Dec 2021

2d Layered Sip As Anisotropic Nonlinear Optical Material, Huseyin Sar, Jie Gao, Xiaodong Yang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Two-dimensional (2D) material of silicon phosphide (SiP) has recently been shown as a promising optical material with large band gap, fast photoresponse and strong anisotropy. However, the nonlinear optical properties of 2D SiP have not been investigated yet. Here, the thickness-dependent in-plane anisotropic third-harmonic generation (THG) from the mechanically exfoliated 2D layered SiP flakes is reported. The crystal orientation of the SiP flake is determined by the angle-resolved polarized Raman spectroscopy. The angular dependence of the THG emission with respect to the incident linear polarization is found to be strongly anisotropic with the two-fold polarization dependence pattern. Furthermore, the effect ...


Naturally Occurring Layered Mineral Franckeite With Anisotropic Raman Scattering And Third-Harmonic Generation Responses, Ravi P. N. Tripathi, Jie Gao, Xiaodong Yang Dec 2021

Naturally Occurring Layered Mineral Franckeite With Anisotropic Raman Scattering And Third-Harmonic Generation Responses, Ravi P. N. Tripathi, Jie Gao, Xiaodong Yang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Vertically stacked van der Waals (vdW) heterostructures have introduced a unique way to engineer optical and electronic responses in multifunctional photonic and quantum devices. However, the technical challenges associated with the artificially fabricated vertical heterostructures have emerged as a bottleneck to restrict their proficient utilization, which emphasizes the necessity of exploring naturally occurring vdW heterostructures. As one type of naturally occurring vdW heterostructures, franckeite has recently attracted significant interest in optoelectronic applications, but the understanding of light-matter interactions in such layered mineral is still very limited especially in the nonlinear optical regime. Herein, the anisotropic Raman scattering and third-harmonic generation ...


Frequency Domain Measurements Of Melt Pool Recoil Force Using Modal Analysis, Tristan Cullom, Cody Lough, Nicholas Altese, Douglas A. Bristow, Robert G. Landers, Ben Brown, For Full List Of Authors, See Publisher's Website. Dec 2021

Frequency Domain Measurements Of Melt Pool Recoil Force Using Modal Analysis, Tristan Cullom, Cody Lough, Nicholas Altese, Douglas A. Bristow, Robert G. Landers, Ben Brown, For Full List Of Authors, See Publisher's Website.

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Recoil pressure is a critical factor affecting the melt pool dynamics during Laser Powder Bed Fusion (LPBF) processes. Recoil pressure depresses the melt pool. When the recoil pressure is low, thermal conduction and capillary forces may be inadequate to provide proper fusion between layers. However, excessive recoil pressure can produce a keyhole inside the melt pool, which is associated with gas porosity. Direct recoil pressure measurements are challenging because it is localized over an area proportionate to the laser spot size producing a force in the mN range. This paper reports a vibration-based approach to quantify the recoil force exerted ...


Array-Based Guided Wave Source Location Using Dispersion Compensation, Andrew Downs, Ronald A. Roberts, Jiming Song Nov 2021

Array-Based Guided Wave Source Location Using Dispersion Compensation, Andrew Downs, Ronald A. Roberts, Jiming Song

Electrical and Computer Engineering Publications

An important advantage of guided waves is their ability to propagate large distances and yield more information about flaws than bulk waves. Unfortunately, the multi-modal, dispersive nature of guided waves makes them difficult to use for locating flaws. In this work, we present a method and experimental data for removing the deleterious effects of multi-mode dispersion allowing for source localization at frequencies comparable to those of bulk waves. Time domain signals are obtained using a novel 64-element phased array and processed to extract wave number and frequency spectra. By an application of Auld’s electro-mechanical reciprocity relation, mode contributions are ...


Reliability-Informed Life Cycle Warranty Cost And Life Cycle Analysis Of Newly Manufactured And Remanufactured Units, Meng Li, Venkat P. Nemani, Jinqiang Liu, Michael A. Lee, Navaid Ahmed, Gül E. Okudan Kremer, Chao Hu Nov 2021

Reliability-Informed Life Cycle Warranty Cost And Life Cycle Analysis Of Newly Manufactured And Remanufactured Units, Meng Li, Venkat P. Nemani, Jinqiang Liu, Michael A. Lee, Navaid Ahmed, Gül E. Okudan Kremer, Chao Hu

Industrial and Manufacturing Systems Engineering Publications

Standard life cycle techniques such as life cycle warranty cost (LCWC) analysis and life cycle analysis (LCA) are used to respectively quantify the relative economical and environmental advantages of remanufactured goods while simultaneously identifying avenues for improvement. In this paper, we contribute to the literature on life cycle studies by incorporating reliability into LCWC analysis and LCA with the goal of improving long-term/multiple life cycle decision making. We develop a branched power-law model to incorporate the physical degradation mechanisms leading to reduced reuse rates of system parts over multiple life cycles. We then follow a standard LCA protocol to ...


Blended Isogeometric Kirchhoff–Love And Continuum Shells, Ning Liu, Emily L. Johnson, Manoj R. Rajanna, Jim Lua, Nam Phan, Ming-Chen Hsu Nov 2021

Blended Isogeometric Kirchhoff–Love And Continuum Shells, Ning Liu, Emily L. Johnson, Manoj R. Rajanna, Jim Lua, Nam Phan, Ming-Chen Hsu

Mechanical Engineering Publications

The computational modeling of thin-walled structures based on isogeometric analysis (IGA), non-uniform rational B-splines (NURBS), and Kirchhoff–Love (KL) shell formulations has attracted significant research attention in recent years. While these methods offer numerous benefits over the traditional finite element approach, including exact representation of the geometry, naturally satisfied high-order continuity within each NURBS patch, and computationally efficient rotation-free formulations, they also present a number of challenges in modeling real-world engineering structures of considerable complexity. Specifically, these NURBS-based engineering models are usually comprised of numerous patches, with discontinuous derivatives, non-conforming discretizations, and non-watertight connections at their interfaces. Moreover, the analysis ...


Physiological Processes, Chirag B. Raval Oct 2021

Physiological Processes, Chirag B. Raval

Open Educational Resources

Physiological Processes is designed to introduce fundamental concepts of physiology to biomedical engineering learners. Areas covered include: neural, muscular, cardiovascular, respiratory and renal system function; bioelectrical signals, capillary-level transport, organ-level exchange. Whenever possible, analysis will be quantitative in order to fulfill the course goals and to build the foundation for the subsequent biomedical engineering curriculum. This course is for Biomedical Engineering majors only.


Analysis Of Flexural Capacity Of A Novel Straight-Side U-Shaped Steel-Encased Concrete Composite Beam, Qiwu Yan, Zheng Zhang, Jin Yan, Simon Laflamme Sep 2021

Analysis Of Flexural Capacity Of A Novel Straight-Side U-Shaped Steel-Encased Concrete Composite Beam, Qiwu Yan, Zheng Zhang, Jin Yan, Simon Laflamme

Civil, Construction and Environmental Engineering Publications

This paper proposes a novel straight-side U-shaped steel-encased concrete composite beam (SUSCCB). The SUSCCB is constituted by encasing the top sections of the U-shaped steel plates directly into the concrete flange, with the composite action generated through perfobond connections consisting of reinforcement bars transversely passing through perforations in the encased top sections of the steel plates. It is engineered to overcome the shortcomings of the existing varus or valgus U-shaped steel-encased concrete composite beams (USCCB), for which the installation of shear connectors can be complex and costly to achieve because of the numerous required welds. The main objective of this ...


Extraordinarily Strong Magneto-Responsiveness In Phase-Separated Lafe2si, Arjun K. Pathak, Yaroslav Mudryk, Nikolai A. Zarkevich, Dominic H. Ryan, Duane D. Johnson, Vitalij K. Pecharsky Aug 2021

Extraordinarily Strong Magneto-Responsiveness In Phase-Separated Lafe2si, Arjun K. Pathak, Yaroslav Mudryk, Nikolai A. Zarkevich, Dominic H. Ryan, Duane D. Johnson, Vitalij K. Pecharsky

Materials Science and Engineering Publications

Materials responding vigorously to minor variations of external stimuli with negligible hysteresis could revolutionize many of the energy technologies, including refrigeration, actuation, and sensing. We report a combined experimental and theoretical study of a two-phase composite, naturally formed at the LaFe2Si stoichiometry, which exhibits a nearly anhysteretic, two-step first-order ferromagnetic-to-paramagnetic phase transformation with enhanced sensitivity to an external magnetic field. Other unusual properties include a large plateau-like positive magnetoresistance, magnetic-field-induced temperature and entropy changes occurring over a wide temperature range, and a Griffiths-like phase associated with short-range ferromagnetic clustering in the paramagnetic state. The heat capacity, magnetization, Mössbauer spectroscopy, and ...


Predicting The Spatiotemporal Exposure Of Aquatic Species To Intrusions Of Fire Retardant In Streams With Limited Data, Chris R. Rehmann, P. Ryan Jackson, Holly J. Puglis Aug 2021

Predicting The Spatiotemporal Exposure Of Aquatic Species To Intrusions Of Fire Retardant In Streams With Limited Data, Chris R. Rehmann, P. Ryan Jackson, Holly J. Puglis

Civil, Construction and Environmental Engineering Publications

Because fire retardant can enter streams and harm aquatic species including endangered fish, agencies such as the U.S. Forest Service (USFS) must estimate the downstream extent of toxic effects every time fire retardant enters streams (denoted as an “intrusion”). A challenge in estimating the length of stream affected by the intrusion and the exposure time of species in the affected reach is the lack of data typically available on the stream's geometry and flow characteristics. Previously, the USFS estimated the affected reach length assuming instantaneous mixing of the retardant over the reach; however, this approach neglects key river ...


Motivation Dynamics For Autonomous Composition Of Navigation Tasks, Paul B. Reverdy, Vasileios Vasilopoulos, Daniel E. Koditschek Aug 2021

Motivation Dynamics For Autonomous Composition Of Navigation Tasks, Paul B. Reverdy, Vasileios Vasilopoulos, Daniel E. Koditschek

Departmental Papers (ESE)

We physically demonstrate a reactive sensorimotor architecture for mobile robots whose behaviors are generated by motivation dynamics. Motivation dynamics uses a continuous dynamical system to reactively compose low-level control vector fields using valuation functions which capture the potentially competing influences of external stimuli relative to the system's own internal state. We show that motivation dynamics 1) naturally accommodates external stimuli through standard signal processing tools, and 2) can effectively encode a repetitive higher-level task by composing several low-level controllers to achieve a limit cycle in which the robot repeatedly navigates towards two alternatively valuable goal locations in a commensurately ...


Microstructure And Microchemistry Of Laser Welds Of Irradiated Austenitic Steels, Yaqiao Wu, Megha Dubey Aug 2021

Microstructure And Microchemistry Of Laser Welds Of Irradiated Austenitic Steels, Yaqiao Wu, Megha Dubey

Materials Science and Engineering Faculty Publications and Presentations

This article investigates the integrity of laser welds on neutron irradiated, He-containing steels. Life extension of the current fleet of light water reactors could necessitate repair of cracks on irreplaceable internal components, but heat input of weld repairs exacerbates the problem by initiating He-induced cracking. Laser welding is a promising low-heat-input technology thought to limit the extent of He-induced cracking. In this study, we produce laser welds in a hot cell on AISI 304L stainless steel plates previously irradiated in the Experimental Breeder Reactor (EBR)-II. We select a systematic set of three specimens spanning fluences ~1–28 displacements per ...


Learning And Exploiting Shaped Reward Models For Large Scale Multiagent Rl, Arambam James Singh, Akshat Kumar, Hoong Chuin Lau Aug 2021

Learning And Exploiting Shaped Reward Models For Large Scale Multiagent Rl, Arambam James Singh, Akshat Kumar, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

Many real world systems involve interaction among large number of agents to achieve a common goal, for example, air traffic control. Several model-free RL algorithms have been proposed for such settings. A key limitation is that the empirical reward signal in model-free case is not very effective in addressing the multiagent credit assignment problem, which determines an agent's contribution to the team's success. This results in lower solution quality and high sample complexity. To address this, we contribute (a) an approach to learn a differentiable reward model for both continuous and discrete action setting by exploiting the collective ...


Deformation Of An Airfoil-Shaped Brain Surrogate Under Shock Wave Loading, Ling Zhang, William J. Jackson, Sarah A. Bentil Aug 2021

Deformation Of An Airfoil-Shaped Brain Surrogate Under Shock Wave Loading, Ling Zhang, William J. Jackson, Sarah A. Bentil

Mechanical Engineering Publications

Improvised explosive devices (IEDs), during military operations, has increased the incidence of blast-induced traumatic brain injuries (bTBI). The shock wave is created following detonation of the IED. This shock wave propagates through the atmosphere and may cause bTBI. As a result, bTBI research has gained increased attention since this injury's mechanism is not thoroughly understood. To develop better protection and treatment against bTBI, further studies of soft material (e.g. brain and brain surrogate) deformation due to shock wave exposure are essential. However, the dynamic mechanical behavior of soft materials, subjected to high strain rates from shock wave exposure ...


Knn Based Piezo-Triboelectric Lead-Free Hybrid Energy Films, Abu Masa Abdullah, Muhtasim Ul Karim Sadaf, Farzana Tasnim, Horacio Vasquez, Karen Lozano, M. Jasim Uddin Aug 2021

Knn Based Piezo-Triboelectric Lead-Free Hybrid Energy Films, Abu Masa Abdullah, Muhtasim Ul Karim Sadaf, Farzana Tasnim, Horacio Vasquez, Karen Lozano, M. Jasim Uddin

Chemistry Faculty Publications and Presentations

In recent times, the triboelectric and piezoelectric effects have garnered significant attention towards developing advanced material composites for energy harvesting and sensory applications. In this work, potassium sodium niobate (KNN) based energy films (EF) have been developed to utilize mechanical energy while simultaneously taking advantage of triboelectric and piezoelectric mechanisms. The KNN particles were synthesized using a wet ball milling technique and then incorporated into a polyvinylidene difluoride (PVDF) matrix together with addition of multi wall carbon nanotubes (MWCNT). The film was used to develop a piezoelectric nanogenerator (PENG) fitted with copper electrodes. The piezoelectric output of the film was ...


Optimal Distributed Generator Placement - A Bibliometric Survey, P. S.D. Bhima Raju, K. V. S. Ramachandra Murthy, Ravindra K Jul 2021

Optimal Distributed Generator Placement - A Bibliometric Survey, P. S.D. Bhima Raju, K. V. S. Ramachandra Murthy, Ravindra K

Library Philosophy and Practice (e-journal)

In this paper, Bibliometric survey has been carried out on Optimal Distributed Generator Placement from 1982 to 2021. Data is extracted from Scopus database for the analysis. There were total 1298 documents found on the topic of ‘Optimal Distributed Generator Placement’. The statistical analysis is carried out source wise, year wise, area wise, Country wise, University wise, author wise, and based on funding agency. Network analysis is also carried out based on Co-authorship, Co-occurrence, Citation Analysis and Bibliographic coupling. Results are presented. During 2019, there were 170 documents published which is the highest. International Journal of Electrical Power and Energy ...


Integration Management: A Bibliometric Study Of Research Trends, Shabir Hussain Khahro, Ayaz Babar, Fida Hussain Siddiqui, Tauha Hussain Ali, Ali Raza Khoso Jul 2021

Integration Management: A Bibliometric Study Of Research Trends, Shabir Hussain Khahro, Ayaz Babar, Fida Hussain Siddiqui, Tauha Hussain Ali, Ali Raza Khoso

Library Philosophy and Practice (e-journal)

Integration management has always been a topic of interest for researchers. It plays a significant role in the success of the projects. Integration management effectively incorporates all the aspects of projects and provides a roadmap towards their success. Based on the significance of the term, this paper assesses the research output of integration management since 1970 in different fields of the application using the Scopus database. The data was collected and analyzed through Microsoft Excel to analyze the research publications trend line, publication types and their access to the audience, organizations and countries involved, languages of publications, authors participating, and ...


Innovative Carbon-Doped Composite Pavements With Sensing Capability And Low Environmental Impact For Multifunctional Infrastructures, Hasan Borke Birgin, Antonella D’Alessandro, Simon Laflamme, Filippo Ubertini Jul 2021

Innovative Carbon-Doped Composite Pavements With Sensing Capability And Low Environmental Impact For Multifunctional Infrastructures, Hasan Borke Birgin, Antonella D’Alessandro, Simon Laflamme, Filippo Ubertini

Civil, Construction and Environmental Engineering Publications

Recently, smart composites that serve as multi-functional materials have gained popularity for structural and infrastructural applications yielding condition assessment capabilities. An emerging application is the monitoring and prediction of the fatigue of road infrastructure, where these systems may benefit from the ability to detect and estimate vehicle loads via weigh-in-motion (WIM) sensing without interrupting the traffic flow. However, off-the-shelf applications of WIM can be improved in terms of cost and durability, both on the hardware and software sides. This study proposes a novel multi-functional pavement material that can be utilized as a pavement embedded weigh-in-motion system. The material consists of ...


Afloat 2021: American Floating Offshore Wind Technical Summit, Advanced Structures And Composites Center Jul 2021

Afloat 2021: American Floating Offshore Wind Technical Summit, Advanced Structures And Composites Center

General University of Maine Publications

Email invitation to the "AFloat 2021: American Floating Offshore Wind Technical Summit" scheduled for September 8 and 9, 2021. Due to the emergence of COVID variants and the health risks they pose, a decision was made to hold the event virtually to ensure everyone's safety.


An Efficient Multi-Message And Multi-Receiver Signcryption Scheme For Heterogeneous Smart Mobile Iot, Jianying Qiu, Kai Fan, Kuan Zhang, Qiang Pan, Hui Li, Yintang Yang Jul 2021

An Efficient Multi-Message And Multi-Receiver Signcryption Scheme For Heterogeneous Smart Mobile Iot, Jianying Qiu, Kai Fan, Kuan Zhang, Qiang Pan, Hui Li, Yintang Yang

Faculty Publications from the Department of Electrical and Computer Engineering

The Internet of Things (IoT) is developing towards smart and mobile Internet of Things (SM-IoT), which has made great progress. Due to the inherent heterogeneity, distribution, intensive communication, and resource constraints of SM-IoT, efficient security and privacy communication protocols become a particularly critical challenge. Signcryption has received considerable attention. Various signcryption schemes have been proposed to solve secure communication. However, most of them are low in efficiency, without the consideration of characteristics of the SM-IoT. In this paper, we propose a signcryption scheme to achieve efficient secure multi-message and multi-receiver communication for the heterogeneous and distributed SM-IoT. We develop Identity-based ...


Thermal & Mechanical Analysis Of Bombyx Mori Silk Nanofibers, Justin Busnot Jul 2021

Thermal & Mechanical Analysis Of Bombyx Mori Silk Nanofibers, Justin Busnot

Mechanical (and Materials) Engineering -- Dissertations, Theses, and Student Research

This thesis presents a study on the thermomechanical properties of Bombyx Mori silk nanofibers. These nanofibers were obtained from silkworm cocoons which were degummed to separate the fibroin and the sericin, the two proteins that make up silk. The fibroin was then centrifuged to remove insoluble particles and stored and 4°C before the electrospinning process. A parametric study of the electrospinning process was carried out in order to identify the factors allowing to obtain optimal mechanical properties. The current as well as the flow rate applied, the diameter of the syringe, the distance separating the syringe from collector or ...


Load Flow Solution Of Distribution Systems - A Bibliometric Survey, K. V. S. Ramachandra Murthy, Vijay Kumar D, Lakshmi Kambhampati, Rayudu Srinivas, Rayudu Srinivas Jul 2021

Load Flow Solution Of Distribution Systems - A Bibliometric Survey, K. V. S. Ramachandra Murthy, Vijay Kumar D, Lakshmi Kambhampati, Rayudu Srinivas, Rayudu Srinivas

Library Philosophy and Practice (e-journal)

In this paper, Bibliometric Survey has been carried out on ‘Load Flow Solution of Distribution Systems’ from 2012 to 2021. Scopus database has been used for the analysis. There were total 1711 documents found on this topic. The statistical analysis is carried out source wise, year wise, area wise, Country wise, University wise, author wise, and based on funding agency. Network analysis is also carried out based on Co-authorship, Co-occurrence. Results are presented. During 2020 and 2018, there were 263 documents published which is the highest. ‘IEEE Transactions on Power Systems’ has published 90 documents during the period of study ...


Learning Crystal Field Parameters Using Convolutional Neural Networks, Noah F. Berthusen, Yuriy Sizyuk, Mathias S. Scheurer, Peter Orth Jul 2021

Learning Crystal Field Parameters Using Convolutional Neural Networks, Noah F. Berthusen, Yuriy Sizyuk, Mathias S. Scheurer, Peter Orth

Ames Laboratory Accepted Manuscripts

We present a deep machine learning algorithm to extract crystal field (CF) Stevens parameters from thermodynamic data of rare-earth magnetic materials. The algorithm employs a two-dimensional convolutional neural network (CNN) that is trained on magnetization, magnetic susceptibility and specific heat data that is calculated theoretically within the single-ion approximation and further processed using a standard wavelet transformation. We apply the method to crystal fields of cubic, hexagonal and tetragonal symmetry and for both integer and half-integer total angular momentum values J of the ground state multiplet. We evaluate its performance on both theoretically generated synthetic and previously published experimental data ...


Extracting Microplastic From Anhydrous Beach Sediment Utilizing Relative Terminal Velocities, Grace Robertson, Jackson Schuler Jul 2021

Extracting Microplastic From Anhydrous Beach Sediment Utilizing Relative Terminal Velocities, Grace Robertson, Jackson Schuler

Student Works

The primary intent of this research was to investigate and develop a method to extract microplastics from anhydrous beach sediment. Microplastic is found abundantly in coastal sea environments, including aqueous bottom sediment, and beach sediment (Sagawa, Kawaai, & Hinata, 2018). The scope of the microplastic extraction method in this case is limited to strictly the anhydrous beach sediment. The Venturi Effect and Burnoulli’s Principle have been utilized in the design of a nozzle with airflow that has been injected with a sediment and microplastic heterogenous mixture. A nozzle was designed to operate at the specific terminal velocity of sediment such ...


Establishing Efficient All One-To-One Paths By Exploring Cyclic Quorum Sets, Yiming Bian, Arun K. Somani Jul 2021

Establishing Efficient All One-To-One Paths By Exploring Cyclic Quorum Sets, Yiming Bian, Arun K. Somani

Electrical and Computer Engineering Conference Papers, Posters and Presentations

Cycle-based routing is an efficient routing mechanism widely used to achieve fault-tolerant, reliable, and robust network routing. To meet all-to-all source-destination pairs traffic requirements using cycle-based routing, one efficient method is to use quorum sets to establish cycles to serve each source and destination pair on one of the cycles. Quorum-based cycle routing significantly reduces the total number of direct links to be used in the network compared to establishing all point-to-point communication routes. Adopting different quorum sets provides similar flexibility and reliability yet yields significant differences in resource utilization. We compare multiple quorum sets to establish cycle-based routing paths ...


Bibliometric Review Of Fpga Based Implementation Of Cnn, Priti Shahane, Piyush Tyagi, Purba Saha, Shravan Sainath, Swanand Bedekar Jul 2021

Bibliometric Review Of Fpga Based Implementation Of Cnn, Priti Shahane, Piyush Tyagi, Purba Saha, Shravan Sainath, Swanand Bedekar

Library Philosophy and Practice (e-journal)

Nowadays Convolution Neural Network (CNN) has become the state of the art for machine learning algorithms due to their high accuracy. However, implementation of CNN algorithms on hardware platforms becomes challenging due to high computation complexity, memory bandwidth and power consumption. Hardware accelerators such as Graphics Processing Unit (GPU), Field Programmable Gate Array (FPGA), Application Specific Integrated Circuit (ASIC) are suitable platforms to model CNN algorithms. Recently FPGAs have been considered as an attractive platform for CNN implementation. Modern FPGAs have various embedded hardware and software blocks such as a soft processor, DSP slice and memory blocks. These embedded resources ...