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2020

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Articles 271 - 300 of 14806

Full-Text Articles in Physical Sciences and Mathematics

Toward Non-Invasive Measurement Of Atmospheric Temperature Using Vibro-Rotational Raman Spectra Of Diatomic Gases, Tyler Capek, Jacek Borysow, Claudio Mazzoleni, Massimo Moraldi Dec 2020

Toward Non-Invasive Measurement Of Atmospheric Temperature Using Vibro-Rotational Raman Spectra Of Diatomic Gases, Tyler Capek, Jacek Borysow, Claudio Mazzoleni, Massimo Moraldi

Michigan Tech Publications, Part 1

We demonstrate precise determination of atmospheric temperature using vibro-rotational Raman (VRR) spectra of molecular nitrogen and oxygen in the range of 292–293 K. We used a continuous wave fiber laser operating at 10 W near 532 nm as an excitation source in conjunction with a multi-pass cell. First, we show that the approximation that nitrogen and oxygen molecules behave like rigid rotors leads to erroneous derivations of temperature values from VRR spectra. Then, we account for molecular non-rigidity and compare four different methods for the determination of air temperature. Each method requires no temperature calibration. The first method involves fitting …

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Organic-Inorganic Hybrid Perovskite Promising Materials For Next Generation Solar Cells, Gailan Asad Kazem Al-Dainy Dec 2020

Organic-Inorganic Hybrid Perovskite Promising Materials For Next Generation Solar Cells, Gailan Asad Kazem Al-Dainy

Theses and Dissertations

Scientists and engineers are developing photovoltaic devices as promising clean energy tools. Organic-inorganic hybrid perovskites have attracted considerable attention as next-generation thin film solar cells due to their high efficiency, solution processability, easy processing, and low-cost fabrication. Moreover, perovskite exhibits outstanding optoelectronic properties. These unique properties have led to a rapid rise in their power conversion efficiency (PCE) as single-junction from 3.9% to certified 23.4% in just about 9 years. However, the stability of perovskite solar cell (PSC) -based devices is still an issue, therefore, it is important to increase both the efficiency and stability of PSC devices. Based on …

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Paleoseismic Studies Using Geophysical Techniques: Sand Blow Features In Eastern Arkansas, Rauf R. Hussein Dec 2020

Paleoseismic Studies Using Geophysical Techniques: Sand Blow Features In Eastern Arkansas, Rauf R. Hussein

Theses and Dissertations

Damaging earthquakes including pre-historical, historical and recent demand paleoseismic studies to improve seismic risk assessment of future destructive earthquakes. Such large earthquakes could damage many structures, kill scores of people and leave others homeless, and devastate the economy. In this study, extensive research efforts are described to investigate the feasibility and effectiveness of using Ground Penetrating Radar (GPR) in detecting and identifying specific geological features that are related to historic and prehistoric earthquakes. These features are preserved in the near surface soil and manifested as sand blows, buried paleo-surfaces, venting dikes, and structural faults. They are related to severe cyclic …

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A Preliminary Analysis Of How A Software Organization’S Maturity And Size Affect Its Intellectual Property Portfolio, Daniel Gifford Dec 2020

A Preliminary Analysis Of How A Software Organization’S Maturity And Size Affect Its Intellectual Property Portfolio, Daniel Gifford

Master of Science in Software Engineering Theses

Intellectual property, commonly known as IP, is complex. The four main types of software IP, which is what this thesis will focus on, are patents, trade secrets, trademarks, and copyright. Patents, trade secrets, and copyrights were all studied by this thesis. Software IP is unique in that it can by copyrighted. Different IP owners, which can be businesses of different types, individuals, and universities, often have different strategies as to how to use their IP portfolio. This thesis studies differences in IP usage between these entities specifically in the field of software. Large and small software companies were analyzed specifically. …

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1. Test Data, Zhiqu Lu, Likun Zhang, Lei Cao Dec 2020

1. Test Data, Zhiqu Lu, Likun Zhang, Lei Cao

Gulf Research Program Data Sets

This data set contains recorded and processed bubble sounds under different conditions: a few bubbles vs. constant flow bubbles. Each condition is tested with nitrogen and with methane.

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2. Modeling, Zhiqu Lu, Likun Zhang, Lei Cao Dec 2020

2. Modeling, Zhiqu Lu, Likun Zhang, Lei Cao

Gulf Research Program Data Sets

This data set contains the results for acoustic bubble modeling.

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3. Localization, Zhiqu Lu, Likun Zhang, Lei Cao Dec 2020

3. Localization, Zhiqu Lu, Likun Zhang, Lei Cao

Gulf Research Program Data Sets

This data set contains the results for oil leakage source localization.

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4. Metadata Files, Zhiqu Lu, Likun Zhang, Lei Cao Dec 2020

4. Metadata Files, Zhiqu Lu, Likun Zhang, Lei Cao

Gulf Research Program Data Sets

This data set contains all ReadMe files for test data, modeling data, and localization data, as well as the corresponding codes.

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5. Programs And Algorithms, Zhiqu Lu, Likun Zhang, Lei Cao Dec 2020

5. Programs And Algorithms, Zhiqu Lu, Likun Zhang, Lei Cao

Gulf Research Program Data Sets

This data set contains all codes for the study.

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6. Supplemental Materials, Zhiqu Lu, Likun Zhang, Lei Cao Dec 2020

6. Supplemental Materials, Zhiqu Lu, Likun Zhang, Lei Cao

Gulf Research Program Data Sets

This data set contains all conference presentations, manuscripts, technical reports, posters.

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Quantifying Deepfake Detection Accuracy For A Variety Of Natural Settings, Pratikkumar Prajapati Dec 2020

Quantifying Deepfake Detection Accuracy For A Variety Of Natural Settings, Pratikkumar Prajapati

Master's Projects

Deep fakes are videos generated from a starting video of a person where that person's face has been swapped for someone else's. In this report, we describe our work to develop general, deep learning-based models to classify Deep Fake content. Our first experiments involved simple Convolution Neural Network (CNN)-based models where we varied how individual frames from the source video were passed to the CNN. These simple models tended to give low accuracy scores for discriminating fake versus non-fake videos of less than 60%. We then developed three more sophisticated models: one based on choosing test frames, one based on …

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Malware Classification Using Lstms, Dennis Dang Dec 2020

Malware Classification Using Lstms, Dennis Dang

Master's Projects

Signature and anomaly based detection have long been quintessential techniques used in malware detection. However, these techniques have become increasingly ineffective as malware becomes more complex. Researchers have therefore turned to deep learning to construct better performing models. In this project, we create four different long-short term memory (LSTM) models and train each model to classify malware by family type. Our data consists of opcodes extracted from malware executables. We employ techniques used in natural language processing (NLP) such as word embedding and bidirection LSTMs (biLSTM). We also use convolutional neural networks (CNN). We found that our model consisting of …

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Short And Long Term Effects Of Lime And Gypsum Applications On Acid Soils In A Water-Limited Environment: 2. Soil Chemical Properties, Geoff Anderson, Shahab Pathan, James Easton, David Hall, Rajesh Sharma Dec 2020

Short And Long Term Effects Of Lime And Gypsum Applications On Acid Soils In A Water-Limited Environment: 2. Soil Chemical Properties, Geoff Anderson, Shahab Pathan, James Easton, David Hall, Rajesh Sharma

Grain and Other Field Crops Research Articles

Soil acidity or aluminum (Al) toxicity is a major limitation to crop production. In this paper, we examine the effects of surface-applied lime and gypsum on soil profile chemical properties that affect Al toxicity in short-term (1 year), medium-term (2 years and 8 months) and long-term (10 years) experiments. Sulfate applied to the soil surface as gypsum was leached rapidly to a depth of 40 cm in the short-term despite relatively low amounts (279 mm) of rainfall. In the medium and long-term experiments, 28–54% of the sulfate applied as gypsum was retained in the 0–50 cm soil layer due to …

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The Evaluation Of Two Cultivation Methods To Over‐Sow Perennial Clovers Into Kikuyu, Philip R. Botha, Robin Meeske, Hennie A. Snyman Dec 2020

The Evaluation Of Two Cultivation Methods To Over‐Sow Perennial Clovers Into Kikuyu, Philip R. Botha, Robin Meeske, Hennie A. Snyman

IGC Proceedings (1977-2023)

No abstract provided.

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Temporal Mobility Patterns Of Livestock In Semi‐Arid Communal Rangelands In South Africa, Igshaan Samuels, Nicky Allsopp, Timm Hoffman Dec 2020

Temporal Mobility Patterns Of Livestock In Semi‐Arid Communal Rangelands In South Africa, Igshaan Samuels, Nicky Allsopp, Timm Hoffman

IGC Proceedings (1977-2023)

No abstract provided.

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Energetic Supplementation For Beef Heifers Grazing Temperate Pasture, Marta G. Da Rocha, L. Potter Dec 2020

Energetic Supplementation For Beef Heifers Grazing Temperate Pasture, Marta G. Da Rocha, L. Potter

IGC Proceedings (1977-2023)

No abstract provided.

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Annual Legumes With Greater Water Use Efficiency Can Overcome Seasonal Feed Imbalance, Belinda Hackney, B. Dear, G. Dyce, C. Rodham, G. Li Dec 2020

Annual Legumes With Greater Water Use Efficiency Can Overcome Seasonal Feed Imbalance, Belinda Hackney, B. Dear, G. Dyce, C. Rodham, G. Li

IGC Proceedings (1977-2023)

No abstract provided.

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Productive And Sustainable Pasture Systems: Responding To Climate Variability In The South West Of Australia, Ned Crossley Dec 2020

Productive And Sustainable Pasture Systems: Responding To Climate Variability In The South West Of Australia, Ned Crossley

IGC Proceedings (1977-2023)

No abstract provided.

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Performance Of Beef Cattle Females Grazing Under Different Feeding Systems Based On Native Pastures In Southern Brazil, Carlos Nabinger, Teresa C. M. Genro, F. F. Cardoso, M. G. Orqis, M. M. Oliveira, D. P. Montardo Dec 2020

Performance Of Beef Cattle Females Grazing Under Different Feeding Systems Based On Native Pastures In Southern Brazil, Carlos Nabinger, Teresa C. M. Genro, F. F. Cardoso, M. G. Orqis, M. M. Oliveira, D. P. Montardo

IGC Proceedings (1977-2023)

No abstract provided.

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Thermally Stable Fluorogenic Zn(Ii) Sensor Based On A Bis(Benzimidazole)Pyridine-Linked Phenyl-Silsesquioxane Polymer, Chamika U. Lenora, Nai-Hsuan Hu, Joseph C. Furgal Dec 2020

Thermally Stable Fluorogenic Zn(Ii) Sensor Based On A Bis(Benzimidazole)Pyridine-Linked Phenyl-Silsesquioxane Polymer, Chamika U. Lenora, Nai-Hsuan Hu, Joseph C. Furgal

Chemistry Faculty Publications

A 2,6-bis(2-benzimidazolyl) pyridine-linked silsesquioxane-based semi-branched polymer was synthesized, and its photophysical and metal-sensing properties have been investigated. The polymer is thermally stable up to 285 °C and emits blue in both solid and solution state. The emission of the polymer is sensitive to pH and is gradually decreased and quenched upon protonation of the linkers. The initial emission color is recoverable upon deprotonation with triethylamine. The polymer also shows unique spectroscopic properties in both absorption and emission upon long-term UV irradiation, with red-shifted absorption and emission not present in a simple blended system of phenylsilsesquioxane and linker, suggesting that a …

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3d Numerical Simulation-Based Targeting Of Skarn Type Mineralization Within The Xuancheng-Magushan Orefield, Middle-Lower Yangtze Metallogenic Belt, China, Xunyu Hu, Xiaohui Li, Feng Yuan, Simon M. Jowitt, Alison Ord, Rui Ye, Yue Li, Wenqiang Dai, Xiangling Li Dec 2020

3d Numerical Simulation-Based Targeting Of Skarn Type Mineralization Within The Xuancheng-Magushan Orefield, Middle-Lower Yangtze Metallogenic Belt, China, Xunyu Hu, Xiaohui Li, Feng Yuan, Simon M. Jowitt, Alison Ord, Rui Ye, Yue Li, Wenqiang Dai, Xiangling Li

Geoscience Faculty Research

Recent exploration has identified a series of Cu-Mo skarn deposits within the Xuancheng-Magushan orefield. The orefield forms part of the Nanling-Xuancheng mining district, which is located within the Middle-Lower Yangtze River Metallogenic Belt (MLYRMB) of central-eastern China. However, this area contains thick and widespread unprospective sedimentary cover sequences that have impeded traditional approaches to mineral exploration. This study presents the results of 3D numerical simulation modeling that identifies possible mineral exploration targets within the entire Xuancheng-Magushan orefield. This modeling enables the identification of unexplored areas with significant exploration potential that are covered by thick sedimentary sequences that cannot be easily …

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Validation Of Smiles Hcl Profiles Over A Wide Range From The Stratosphere To The Lower Thermosphere, Seidai Nara, Tomohiro O. Sato, Takayoshi Yamada, Tamaki Fujinawa, Kota Kuribayashi, Takeshi Manabe, Lucien Froidevaux, Nathaniel J. Livesey, Kaley A. Walker, Jian Xu, Franz Schreier, Yvan J. Orsolini, Varavut Limpasuvan, Nario Kuno, Yasuko Kasai Dec 2020

Validation Of Smiles Hcl Profiles Over A Wide Range From The Stratosphere To The Lower Thermosphere, Seidai Nara, Tomohiro O. Sato, Takayoshi Yamada, Tamaki Fujinawa, Kota Kuribayashi, Takeshi Manabe, Lucien Froidevaux, Nathaniel J. Livesey, Kaley A. Walker, Jian Xu, Franz Schreier, Yvan J. Orsolini, Varavut Limpasuvan, Nario Kuno, Yasuko Kasai

Marine Science

Hydrogen chloride (HCl) is the most abundant (more than 95 %) among inorganic chlorine compounds Cly in the upper stratosphere. The HCl molecule is observed to obtain long-term quantitative estimations of the total budget of the stratospheric chlorine compounds. In this study, we provided HCl vertical profiles at altitudes of 16 100 km using the Superconducting Submillimeter-Wave Limb-Emission Sounder (SMILES) from space. The HCl vertical profile from the upper troposphere to the lower thermosphere is reported for the first time from SMILES observations; the data quality is quantified by comparison with other measurements and via theoretical error analysis. We used …

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Applying The Food-Energy-Water Nexus Approach To Urban Agriculture: From Few To Fewp (Food-Energy- Water-People), Silvio Caputo, Victoria Schoen, Kathrin Spect, Baptiste Grard, Chris Blythe, Nevin Cohen, Runrid Fox-Kämper, Jason Hawes, Joshua Newell, Lidia Poniży Dec 2020

Applying The Food-Energy-Water Nexus Approach To Urban Agriculture: From Few To Fewp (Food-Energy- Water-People), Silvio Caputo, Victoria Schoen, Kathrin Spect, Baptiste Grard, Chris Blythe, Nevin Cohen, Runrid Fox-Kämper, Jason Hawes, Joshua Newell, Lidia Poniży

Publications and Research

Many studies examine the correlation between the use of resources such as water, energy and land, and the production of food. These nexus studies focus predominantly on large scale systems, often considering the social dimensions only in terms of access to resources and participation in the decision- making process, rather than individual attitudes and behaviours with respect to resource use. Such a concept of the nexus is relevant to urban agriculture (UA), but it requires customisation to the particular characteristics of growing food in cities, which is practiced mainly at a small scale and produces not only food but also …

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The Tolerance Of Shewanella Woodyi For Electric Potentials And Heavy Metals As Biofilms, Christopher Thomas Mortensen Dec 2020

The Tolerance Of Shewanella Woodyi For Electric Potentials And Heavy Metals As Biofilms, Christopher Thomas Mortensen

Honors Theses

Shewanella woodyi is a bioluminescent marine organism that is known to be metal tolerant and modulate the intensity of its luminescence with electrochemical potential. The viability of S. woodyi as a bioreporter for the toxic heavy metal zinc, copper, and silver was analyzed. Biofilms of S. woodyi was grown on marine broth agar plates and then exposed to various concentrations of each metal ion to evaluate biofilm response to the metal ions that were generated from an operating short circuited electrode containing either Zn, Cu, or Ag metal. The ability of the bacteria to tolerate the heavy metals and continue …

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X-Spec: A 70 Ev To 15 Kev Undulator Beamline For X-Ray And Electron Spectroscopies, Lothar Weinhardt, Ralph Steininger, Dagmar Kreikemeyer-Lorenzo, Stefan Mangold, Dirk Hauschild, David Batchelor, Thomas Spangenberg, Clemens Heske Dec 2020

X-Spec: A 70 Ev To 15 Kev Undulator Beamline For X-Ray And Electron Spectroscopies, Lothar Weinhardt, Ralph Steininger, Dagmar Kreikemeyer-Lorenzo, Stefan Mangold, Dirk Hauschild, David Batchelor, Thomas Spangenberg, Clemens Heske

Chemistry and Biochemistry Faculty Research

X-SPEC is a high-flux spectroscopy beamline at the KIT (Karlsruhe Institute of Technology) Synchrotron for electron and X-ray spectroscopy featuring a wide photon energy range. The beamline is equipped with a permanent magnet undulator with two magnetic structures of different period lengths, a focusing variable-line-space plane-grating monochromator, a double-crystal monochromator and three Kirkpatrick-Baez mirror pairs. By selectively moving these elements in or out of the beam, X-SPEC is capable of covering an energy range from 70 eV up to 15 keV. The flux of the beamline is maximized by optimizing the magnetic design of the undulator, minimizing the number of …

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A Survey On Underwater Bionic Electric Perception, Guangming Xie, Junzheng Zheng, Wang Chen Dec 2020

A Survey On Underwater Bionic Electric Perception, Guangming Xie, Junzheng Zheng, Wang Chen

Journal of System Simulation

Abstract: Sensing and detection technologies for underwater robots in complex underwater environments have been urgently needed.Weakly electric fields-based underwater bionic electric perception is a promising technical route.A kind of fish in nature,called weakly electric fish,can perceive their surrounding environment and other creatures through the varied electric field generated by themselves.Inspired by the electric fish,researchers have focused on the principle and methods of underwater perception based on weakly electric fields and the applications for intelligent underwater robots.The biological mechanism of weakly electric fish,the modeling and perception theory of underwater electric field,the underwater electric perception technology,and their applications are reviewed,and the …

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Research On Recovering Of Complex Networks Based On Boundary Nodes Of Giant Connected Component, Zhe Wang, Jianhua Li, Kang Dong Dec 2020

Research On Recovering Of Complex Networks Based On Boundary Nodes Of Giant Connected Component, Zhe Wang, Jianhua Li, Kang Dong

Journal of System Simulation

Abstract: Network recovery is an important way to solve the inevitable failure,and the reasonable recovery strategy can reduce the cost of resource and improve the network robustness.In order to study the dynamic behavior of recovery process and the relationship between recovery and network robustness,a Recovery Model of Boundary Nodes (RMBN) based on boundary of giant connected component is proposed,and two network Recovery strategies,Average Recovery of Boundary Nodes (ARBN) strategy and Priority Recovery of Boundary Nodes (PRBN) strategy are designed.The simulation results of different recovery strategies on three network models show that with the increase of recovery ratio,the …

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An Online Evaluation Framework Of Complex Simulation System Based On Acceptability Criteria, Zhenglin Sun, Weiqiang Yuan, Weiqing Li Dec 2020

An Online Evaluation Framework Of Complex Simulation System Based On Acceptability Criteria, Zhenglin Sun, Weiqiang Yuan, Weiqing Li

Journal of System Simulation

Abstract: An online simulation evaluation method based on Acceptability Criteria (AC) for the lag of current complex simulation systems is proposed.A qualitative and quantitative AC to index mapping model is used to establish an evaluation index system.Based on index sets and evaluation functions,a seven-tuple model of a simulation process finite automaton is proposed,and a mapping of the simulation process to automata and a data-driven state transfer mechanism are given.Based on the above results,an online evaluation tool is designed and the effectiveness is verified through a case.The result that the method can effectively solve lag in the evaluation …

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Frequency Regulation Signal Reduction Methods For Aluminum Smelters, Zejian Feng, Shengfei Li, Shouzhen Zhu, Zhiyun Li, Xiaomin Bai Dec 2020

Frequency Regulation Signal Reduction Methods For Aluminum Smelters, Zejian Feng, Shengfei Li, Shouzhen Zhu, Zhiyun Li, Xiaomin Bai

Journal of System Simulation

Abstract: The motion delay of tap changer of aluminum smelter rectifier downgrades frequency response precision in following high frequency regulation signals.Aiming to improve the regulation performance of aluminum smelter loads based on adjusting dynamics,a fast regulation signal reduction technique is proposed,which is motion control threshold-based.A simulation-based decision technique of threshold values of the signal reduction algorithm's is devised to improve the performances of frequency response.Simulation results verify the efficacy of the techniques in promoting the frequency response precision to a certain production level,and contribute a practical way to support aluminum smelter‘s provision of frequency regulation services …

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Multi-Agent Behavior Simulation For Metro Station Passenger, Zequn Li, Fengting Yan, Zhicai Shi, Yumei Jian, Changhua Hua, Yongzhan Si, Xiang Yang Dec 2020

Multi-Agent Behavior Simulation For Metro Station Passenger, Zequn Li, Fengting Yan, Zhicai Shi, Yumei Jian, Changhua Hua, Yongzhan Si, Xiang Yang

Journal of System Simulation

Abstract: Metro station is a typical public place with large crowd density.The characteristics of crowd behavior and the guidance based on the characteristics of crowd behavior can effectively train the crowd for emergency evacuation.Adopting the method of multi-agent and characteristics by measuring station building scene,analyzing the influence factors of passenger behavior characteristics,based on the passenger conformity rule,the single-agent passenger route choice behavior model is established.The multiple agents behavioral decision system in the virtual metro stations is established,the WebVR experiment is used to research the influencing factors of passenger herd behavior and decision-making behavior,which provides a theoretical basis for …

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