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Results 431-440 of 691 (Search time: 0.002 seconds).
  • Authors: A. Blanco; J. M. Hallen; Tu Manh, Le;  Advisor: -;  Co-Author: - (2022)

    This work presents a study on the behavior of stress corrosion cracking (SCC) phenomenon in pipeline steels for sour service in near-neutral media. SCC tests under static stressing conditions were performed in planar steel samples using a Cortest proof-ring coupled with a fabricated cell containing near-neutral pH solution as a corrosive medium, which simulates the soil conditions, to observe the cracking initiation stage. Characterizations of the steel samples using surface techniques such as SEM, EDS, and Raman spectroscopy show that the presence of nonmetallic inclusions takes place as pitting sites (to form corrosion pits), which constitute the most susceptible sites for SCC crack initiation. SEM images taken on the steel sample surfaces exhibit both SCC transgranular and interg...

  • Authors: T.H. Duong; T.-T. Le; S.X. Nguyen; M.V. Le;  Advisor: -;  Co-Author: - (2022)

    This study is devoted to the development of an Adaptive-Neuro-Fuzzy-Inference-System (ANFIS) model for the prediction of ultimate load of rectangular concrete-filled steel tubular structural members. The learning process of the model is performed by conducting a combination of backpropagation gradient descent and least-squares techniques. The performance of the model is examined by several quality metrics such as coefficient of determination (R2), Root-Mean-Squared-Error (RMSE), Mean-Absolute-Error (MAE), Index of Agreement (IA) and Slope of linear regression. Monte Carlo random sampling technique is employed to propagate input variations to the output response. Moreover, the performance of ANFIS is also compared with other machine learning models including Artificial Neural Network...

  • Authors: Abdullah H. Alshehr; Jhi Yong Loke; Viet Huong Nguyen; Alexander Jones; Hatameh Asgarimoghaddam; Louis-Vincent Delumeau; Ahmed Shahin; Khaled H. Ibrahim; Kissan Mistry; Mustafa Yavuz; David Mu�oz-Rojas; Kevin P. Musselman;  Advisor: -;  Co-Author: - (2021)

    Nanoscale films are integral to all modern electronics. To optimize device performance, researchers vary the film thickness by making batches of devices, which is time-consuming and produces experimental artifacts. Thin films with nanoscale thickness gradients that are rapidly deposited in open air for combinatorial and high-throughput (CHT) studies are presented. Atmospheric pressure spatial atomic layer deposition reactor heads are used to produce spatially varying chemical vapor deposition rates on the order of angstroms per second. ZnO and Al2O3 films are printed with nm-scale thickness gradients in as little as 45 s and CHT analysis of a metal-insulator-metal diode and perovskite solar cell is performed. By testing 360 Pt/Al2O3/Al diodes with 18 different Al2O3 thicknesses on o...

  • Authors: Quan-Hoang Vuong; Minh-Hoang Nguyen; Tam-Tri Le;  Advisor: -;  Co-Author: - (2021)

    Although studies have explored the predictors of book reading interest among children, little is known about the underlying mechanism that helps children become interested in reading books. This study attempt to demonstrate: (1) how book-reading interest is driven by reasons for choosing books (recommendation or personal preference), (2) how students with high and low academic achievements are motivated by different thinking pathways, and (3) how home scholarly culture improves book-reading interest through such pathways. Using Bayesian analysis on a dataset of survey responses from 4966 Vietnamese secondary students (11–15 years old, sixth to ninth grade), we found: (i) Reading interest is positively associated with a book recommendation and parental book reading activities (parent...

  • Authors: Tiep M. Hoang; Trinh, van Chien; Thien van, Luong;  Advisor: -;  Co-Author: - (2022)

    We consider an aeronautical ad-hoc network relying on aeroplanes operating in the presence of a spoofer. The aggregated signal received by the terrestrial base station is considered as “clean” or “normal”, if the legitimate aeroplanes transmit their signals and there is no spoofing attack. By contrast, the received signal is considered as “spurious” or “abnormal” in the face of a spoofing signal. An autoencoder (AE) is trained to learn the characteristics/features from a training dataset, which contains only normal samples associated with no spoofing attacks. The AE takes original samples as its input samples and reconstructs them at its output. Based on the trained AE, we define the detection thresholds of our spoofing discovery algorithm. To be more specific, contrasting the outpu...

  • Authors: Punam Murkute; Carmen Jiménez; Abderrahime Sekkat; Chiara Crivello; Viet Huong Nguyen; David Muñoz Rojas;  Advisor: -;  Co-Author: - (2021)

    Al-doped ZnO (AZO) has received significant attention due to its inherent properties like wide bandgap, high optical transparency, and electrical conductivity that has established its potential application in optoelectronic devices. The primary challenge in the efficient use of AZO thin films is the un-intentional formation of intrinsic defects, which deteriorate the device performance. The research community has made a significant effort to minimize these intrinsic defects and obtained high-quality films using low-cost growth techniques followed by a post-growth annealing treatment that has successfully suppressed defect states' formation. This presentation provides a comprehensive picture of the current state of knowledge on AZO's growth using spatial atomic layer deposition (SALD...

  • Authors: Tran, M.T.; Dua, N.V.; Tua, N.; Huyen, N.T.;  Advisor: -;  Co-Author: - (2022)

    ZnS has great potential as a valuable material for nanoscale devices because of its rich morphologies and unique structure. Although much effort has been made, the growth of high-quality ZnS crystal is still a challenge. In this paper, high-quality optically defect-free 1D ZnS nanostructures, including nanorods, nanowires, and nanobelts, were successfully synthesized on a large scale by a modified thermal evaporation method. XRD patterns and HRTEM images indicated that the ZnS nanostructures are single phases with hexagonal structures. Under optical excitation, all the ZnS nanostructures show intense UV emissions and almost no defect emissions at room temperature. Sharp UV lasing-like peaks with the FWHM as narrow as 2–3 nm are achieved for the ZnS nanobelts and nanowires. The optic...

  • Authors: Kissan, Mistry; Viet Huong, Nguyen; Mohamed, Arabi; Khaled, H. Ibrahim; Hatameh, Asgarimoghaddam; Mustafa, Yavuz;  Advisor: -;  Co-Author: - (2022)

    A resonant microcantilever sensor is fabricated from a zinc oxide (ZnO) thin film, which serves as both the structural and sensing layers. An open-air spatial atomic layer deposition technique is used to deposit the ZnO layer to achieve a ∼200 nm thickness, an order of magnitude lower than the thicknesses of conventional microcantilever sensors. The reduction in the number of layers, in the cantilever dimensions, and its overall lower mass lead to an ultrahigh sensitivity, demonstrated by detection of low humidity levels. A maximum sensitivity of 23649 ppm/% RH at 5.8% RH is observed, which is several orders of magnitude larger than those reported for other resonant humidity sensors. Furthermore, the ZnO cantilever sensor is self-actuated in air, an advantageous detection mode that ...