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Articles 54001 - 54030 of 197221

Full-Text Articles in Engineering

Design And Performance Of Polyurethane Elastomers Composed With Different Soft Segments, Xin Jin, Naisheng Guo, Zhanping You, Yiqiu Tan Nov 2020

Design And Performance Of Polyurethane Elastomers Composed With Different Soft Segments, Xin Jin, Naisheng Guo, Zhanping You, Yiqiu Tan

Michigan Tech Publications, Part 1

Thermoplastic polyurethane elastomers (TPUs) are widely used in a variety of applications as a result of flexible and superior performance. However, few scholars pay close attention on the design and synthesis of TPUs through the self‐determined laboratory process, especially on definite of chemical structures and upon the influence on properties. To investigate the properties of synthesized modifier based on chemical structure, firstly each kind of unknown structure and composition ratio of TPUs was determined by using a new method. Furthermore, the thermal characteristics and mechanical properties of modifiers were exposed by thermal characteristics and mechanics performance tests. The experimental results …

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Towards Real-Time Reinforcement Learning Control Of A Wave Energy Converter, Enrico Anderlini, Salman Husain, Gordon Parker, Mohammad Abusara, Giles Thomas Nov 2020

Towards Real-Time Reinforcement Learning Control Of A Wave Energy Converter, Enrico Anderlini, Salman Husain, Gordon Parker, Mohammad Abusara, Giles Thomas

Michigan Tech Publications, Part 1

The levellised cost of energy of wave energy converters (WECs) is not competitive with fossil fuel-powered stations yet. To improve the feasibility of wave energy, it is necessary to develop effective control strategies that maximise energy absorption in mild sea states, whilst limiting motions in high waves. Due to their model-based nature, state-of-the-art control schemes struggle to deal with model uncertainties, adapt to changes in the system dynamics with time, and provide real-time centralised control for large arrays of WECs. Here, an alternative solution is introduced to address these challenges, applying deep reinforcement learning (DRL) to the control of WECs …

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Achievements And Prospects Of Functional Pavement: Materials And Structures, Jian Long Zheng, Zhanping You, Xueyan Liu Nov 2020

Achievements And Prospects Of Functional Pavement: Materials And Structures, Jian Long Zheng, Zhanping You, Xueyan Liu

Michigan Tech Publications, Part 1

In order to further promote the development of functional pavement technology, a Special Issue of “Achievements and Prospects of Functional Pavement” has been proposed by a group of guest editors. To reach this objective, articles included in this Special Issue are related to different aspects of functional pavement, including green roads to decrease carbon emission, noise, and pollution, safety pavement to increase skid resistance by water drainage and snow removal, intelligent roads for monitoring, power generation, temperature control and management, and durable roads to increase service life with new theory, new design methods, and prediction models, as highlighted in this …

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Surveyed Impact Of Intellectual Property Training In Stem Education On Innovation, Research, And Development, S. O'Sullivan, Michael Friebe, W. R. Tonti, Margaret Hartnett, Manuel Castro, M. I. Pozzo, Yuenyong Nilsiam Nov 2020

Surveyed Impact Of Intellectual Property Training In Stem Education On Innovation, Research, And Development, S. O'Sullivan, Michael Friebe, W. R. Tonti, Margaret Hartnett, Manuel Castro, M. I. Pozzo, Yuenyong Nilsiam

Michigan Tech Publications, Part 1

The Journal of World Intellectual Property published by John Wiley & Sons Ltd This paper analyzes the findings of an international survey questionnaire to which responses were received from over 500 members from different technical societies of the Institute of Electrical and Electronics Engineers (IEEE). The survey is primarily intended to uncover members' perceptions of patent filing and research-driven innovation. Our thesis statement is twofold. First, the introduction of basic intellectual property (IP) courses to university Science, Technology, Engineering, and Mathematics curricula would teach students valuable basics of IP and associated issues, technology protection; and possibly stimulate novel/innovative R&D outcomes. …

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Studying The Impact Of Urban Densification On Social Sustainability: The Case Of Bida Bin Ammar Neighborhood In Al Ain, Uae, Lubna Mohammad Ghaffar Shekfa Nov 2020

Studying The Impact Of Urban Densification On Social Sustainability: The Case Of Bida Bin Ammar Neighborhood In Al Ain, Uae, Lubna Mohammad Ghaffar Shekfa

Theses

As cities are under the influence of rapid development, industrialization, modernization, and globalization, a key task for local authorities, urban planners, and residents are to understand what makes a neighbourhood socially sustainable. In Al Ain City in the UAE, urban sprawl has been a persistent sustainability problem caused by low urban density and has led to the heavy reliance on private cars. To overcome this problem, urban densification as a sustainable planning approach is recommended. Al Ain 2030 Plan has adopted this approach for the redevelopment of the Asharej District. This research aims at studying the application of urban densification …

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Three-Dimensional Design Of A Mimo System Based On Supershape Antenna, Ismail Abiola Shittu Nov 2020

Three-Dimensional Design Of A Mimo System Based On Supershape Antenna, Ismail Abiola Shittu

Electrical Engineering Theses

In this thesis, a three-dimensional multiple-input-multiple-output (MIMO) antenna is designed for wireless applications. The MIMO consists of three antennas arranged around a triangular prismatic polystyrene foam that acts as a supporting block to form a tetrahedral configuration. This system has the capability of achieving multipath propagation; it also has the potential to improve the quality and reliability of radio signals, improve the channel capacity, and increase the communication speed and data rate. A circular microstrip patch antenna with regular spikes was designed based on the Superformula- a generic formula that describes naturally occurring shapes with six parameters. Afterward, bandwidth enhancement …

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Growth Of Microalgae For Simultaneous Treatment Of Industrial Wastewater And Biodiesel Production, Mohammed Ahmad Tawfiq Abujayyab Nov 2020

Growth Of Microalgae For Simultaneous Treatment Of Industrial Wastewater And Biodiesel Production, Mohammed Ahmad Tawfiq Abujayyab

Chemical and Petroleum Engineering Theses

The treatment of industrial wastewater contaminated with phenols is among the main challenges in the chemical, and particularly the petrochemical industry. Phenols, which present in considerable amounts in industrial wastewater, are toxic even at low concentrations. Therefore, it is essential to reduce their concentrations in water to harmless levels before being discharged. On the other hand, the dependence on the conventional fossil sources of energy, which is non-renewable, is not sustainable and can cause harmful environmental impacts. Therefore, in this work, the dual utilization of microalgae as a cheap and efficient means to remove phenolic compounds commonly found in refinery …

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Geospatial-Based Environmental Modelling For Coastal Dune Zone Management, Chen Suo Nov 2020

Geospatial-Based Environmental Modelling For Coastal Dune Zone Management, Chen Suo

Doctoral

Tomaintain biodiversity and ecological functionof coastal dune areas, itis important that practical and effective environmentalmanagemental strategies are developed. Advances in geospatial technologies offer a potentially very useful source of data for studies in this environment. This research project aimto developgeospatialdata-basedenvironmentalmodellingforcoastaldunecomplexestocontributetoeffectiveconservationstrategieswithparticularreferencetotheBuckroneydunecomplexinCo.Wicklow,Ireland.Theprojectconducteda general comparison ofdifferent geospatial data collection methodsfor topographic modelling of the Buckroney dune complex. These data collection methodsincludedsmall-scale survey data from aerial photogrammetry, optical satellite imagery, radar and LiDAR data, and ground-based, large-scale survey data from Total Station(TS), Real Time Kinematic (RTK) Global Positioning System(GPS), terrestrial laser scanners (TLS) and Unmanned Aircraft Systems (UAS).The results identifiedthe advantages and disadvantages of …

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Covid-19 In Spain And India: Comparing Policy Implications By Analyzing Epidemiological And Social Media Data, Parth Asawa, Manas Gaur, Kaushik Roy, Amit P. Sheth Nov 2020

Covid-19 In Spain And India: Comparing Policy Implications By Analyzing Epidemiological And Social Media Data, Parth Asawa, Manas Gaur, Kaushik Roy, Amit P. Sheth

Publications

The COVID-19 pandemic has forced public health experts to develop contingent policies to stem the spread of infection, including measures such as partial/complete lockdowns. The effectiveness of these policies has varied with geography, population distribution, and effectiveness in implementation. Consequently, some nations (e.g., Taiwan, Haiti) have been more successful than others (e.g., United States) in curbing the outbreak. A data-driven investigation into effective public health policies of a country would allow public health experts in other nations to decide future courses of action to control the outbreaks of disease and epidemics. We chose Spain and India to present our analysis …

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Writing Standards-Based Lesson Plans To Standards For Technological And Engineering Literacy, Scott Bartholomew, Thomas Loveland, Vanessa Santana Nov 2020

Writing Standards-Based Lesson Plans To Standards For Technological And Engineering Literacy, Scott Bartholomew, Thomas Loveland, Vanessa Santana

Faculty Publications

While written lesson plans may seem like a lot of work, with little purpose or benefit to new teachers, a well-written lesson plan is quite valuable for many reasons. The process of writing lesson plans at the beginning of one’s teaching career can be very time-consuming (Arnett-Hartwick and Cannon, 2019); however, the development of sequenced lessons that result in effective learning must be organized and articulate, not done haphazardly. Designing a lesson through a written document can help a teacher see the pattern, flow, and implications of a lesson and how it will help all students; this can be especially …

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A Family Of High Voltage Gain Three-Level Step-Up Converters For Photovoltaic Module Integration Applications, Ahmad Alzahrani, Pourya Shamsi, Mehdi Ferdowsi Nov 2020

A Family Of High Voltage Gain Three-Level Step-Up Converters For Photovoltaic Module Integration Applications, Ahmad Alzahrani, Pourya Shamsi, Mehdi Ferdowsi

Electrical and Computer Engineering Faculty Research & Creative Works

This paper proposes a family of step-up three-level DC-DC converter topologies suitable for photovoltaic panel integration applications. The proposed family is suitable to convert the 10-30 V from photovoltaic panels to a 150 V direct current distribution bus. The proposed family enhances the three-level topology in terms of the voltage gain, power density, and filtering requirements at the input level. The filtration is reduced by interleaving. The three-level boost converter's voltage gain is enhanced by utilizing several options such as switched capacitor cells, switched inductor cells, and flyback transformers or coupled inductors. The enhancement techniques are illustrated by providing the …

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A 60 Ghz Pcb Wideband Antenna-In-Package For 5g/6g Applications, Lidong Chi, Zibin Weng, Yihong Qi, James L. Drewniak Nov 2020

A 60 Ghz Pcb Wideband Antenna-In-Package For 5g/6g Applications, Lidong Chi, Zibin Weng, Yihong Qi, James L. Drewniak

Electrical and Computer Engineering Faculty Research & Creative Works

A low-cost, wideband printed circuit boards (PCBs) manufactured antenna is proposed in this letter for 5G/6G antenna-in-package (AiP) applications with wideband common-mode current (surface-wave) choking characteristics. The antenna is based on a grounded, wideband, high-efficiency electromagnetic structure (WHEMS) and a backing cavity, in which a radiating choke is introduced. By changing the choking condition of a quarter-wavelength, widely applied in traditional low-frequency baluns, wideband common-mode current suppression is achieved. The enclosing wall of the backing cavity is realized by a combination of isolated grounded vias and connected grounded vias based on current polarization on the wall. Finally, a 22% impedance …

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Achievements And Prospects Of Advanced Pavement Materials Technologies, Zhanping You, Jian Long Zheng, Hainian Wang Nov 2020

Achievements And Prospects Of Advanced Pavement Materials Technologies, Zhanping You, Jian Long Zheng, Hainian Wang

Michigan Tech Publications, Part 1

No abstract provided.

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Efficient Yield Estimation Of Multiband Patch Antennas By Polynomial Chaos-Based Kriging, Leifur Leifsson, Xiaosong Du, Slawomir Koziel Nov 2020

Efficient Yield Estimation Of Multiband Patch Antennas By Polynomial Chaos-Based Kriging, Leifur Leifsson, Xiaosong Du, Slawomir Koziel

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Yield estimation of antenna systems is important to check their robustness with respect to the uncertain sources. Since direct Monte Carlo sampling of accurate physics-based models can be computationally intensive, this work proposes the use of the polynomial chaos–Kriging (PC-Kriging) metamodeling method for fast yield estimation of multiband patch antennas. PC-Kriging integrates the polynomial chaos expansion (PCE) as the trend function of Kriging metamodel since the PCE is good at capturing the function tendency and Kriging is good at matching the observations at training points. The PC-Kriging method is demonstrated on two analytical cases and two multiband patch antenna cases …

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Direct 3d Printing Of Silica Doped Transparent Magnesium Aluminate Spinel Ceramics, John M. Pappas, Xiangyang Dong Nov 2020

Direct 3d Printing Of Silica Doped Transparent Magnesium Aluminate Spinel Ceramics, John M. Pappas, Xiangyang Dong

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Transparent magnesium aluminate spinel ceramics were additively manufactured via a laser direct deposition method in this study. With a minimum porosity of 0.3% achieved, highly transparent spinel samples with the highest total optical transmittance of 82% at a wavelength of 632.8 nm, were obtained by a 3D printing approach. However, cracking was found to be a major issue affecting printed spinel samples. To control prevalent cracking, the effect of silica dopants was investigated. Increased silica dopants reduced average total crack length by up to 79% and average crack density by up to 71%. However, a high dopant level limited optical …

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Data–Driven Decision–Making For Lost Circulation Treatments: A Machine Learning Approach, Husam H. Alkinani, Abo Taleb T. Al-Hameedi, Shari Dunn-Norman Nov 2020

Data–Driven Decision–Making For Lost Circulation Treatments: A Machine Learning Approach, Husam H. Alkinani, Abo Taleb T. Al-Hameedi, Shari Dunn-Norman

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Lost circulation is an expensive and critical problem in the drilling operations. Millions of dollars are spent every year to mitigate or stop this problem. In this work, data from over 3000 wells were collected from multiple sources. The data went through a processing step where all outliers were removed, and decision rules were set up. Multiple machine learning methods (support vector machine, decision trees, logistic regression, artificial neural networks, and ensemble trees) were used to create a model that can predict the best lost circulation treatment based on the type of loss and the reason of loss. 5-fold cross-validation …

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Risk Assessment Of Water Inrush Caused By Karst Cave In Tunnels Based On Reliability And Ga-Bp Neural Network, Zhaoyang Li, Yingchao Wang, C. Guney Olgun, Shengqi Yang, Qinglei Jiao, Mitian Wang Nov 2020

Risk Assessment Of Water Inrush Caused By Karst Cave In Tunnels Based On Reliability And Ga-Bp Neural Network, Zhaoyang Li, Yingchao Wang, C. Guney Olgun, Shengqi Yang, Qinglei Jiao, Mitian Wang

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

In order to evaluate the risk level of water inrush caused by karst cave accurately and effectively, a novel quantitative assessment model was established based on the reliability theory and genetic algorithm-back propagation (GA-BP) neural network. First, the reliability theory and the calculation formula of the minimum safe thickness were used to calculate the water inrush probability. Second, the GA-BP neural network was applied to predict the disaster consequence caused by water inrush. Six factors, including water pressure, hydraulic supply, type of gap, filling situation, degree of water enrichment and reserves of cave, were selected as the input layer of …

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Detection Of Corrosion-Indicating Oxidation Product Colors In Steel Bridges Under Varying Illuminations, Shadows, And Wetting Conditions, Dayakar L. Naik, Hizb Ullah Sajid, Ravi Kiran, Genda Chen Nov 2020

Detection Of Corrosion-Indicating Oxidation Product Colors In Steel Bridges Under Varying Illuminations, Shadows, And Wetting Conditions, Dayakar L. Naik, Hizb Ullah Sajid, Ravi Kiran, Genda Chen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Early detection of corrosion in steel bridges is essential for strategizing the mitigation of further corrosion damage. Although various image-based approaches are available in the literature for corrosion detection, most of these approaches are tested on images acquired under uniform natural daylight illuminations i.e., inherent variations in the ambient lighting conditions are ignored. Owing to the fact that varying natural daylight illuminations, shadows, water wetting, and oil wetting are unavoidable in real-world scenarios, it is important to devise a robust technique for corrosion identification. In the current study, four different color spaces namely ‘RGB’, ‘rgb’, ‘HSV’ and ‘CIE La*b*’ along …

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Calcium Sulfate-Containing Glass Polyalkenoate Cement For Revision Total Knee Arthroplasty Fixation, Leyla Hasandoost, Adel Alhalawani, Omar Rodriguez, Alireza Rahimnejad Yazdi, Paul Zalzal, Emil H. Schemitsch, Stephen D. Waldman, Marcello Papini, Mark R. Towler Nov 2020

Calcium Sulfate-Containing Glass Polyalkenoate Cement For Revision Total Knee Arthroplasty Fixation, Leyla Hasandoost, Adel Alhalawani, Omar Rodriguez, Alireza Rahimnejad Yazdi, Paul Zalzal, Emil H. Schemitsch, Stephen D. Waldman, Marcello Papini, Mark R. Towler

Chemical and Biochemical Engineering Faculty Research & Creative Works

Poly (methyl methacrylate) (PMMA) bone cement is used as a minor void filler in revision total knee arthroplasty (rTKA). The application of PMMA is indicated only for peripheral bone defects with less than 5 mm depth and that cover less than 50% of the bone surface. Treating bone defects with PMMA results in complications as a result of volumetric shrinkage, bone necrosis, and aseptic loosening. These concerns have driven the development of alternative bone cements. We report here on novel modified glass polyalkenoate cements (mGPCs) containing 1, 5 and 15 wt% calcium sulfate (CaSO4) and how the modified …

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Contextual-Bandit Anomaly Detection For Iot Data In Distributed Hierarchical Edge Computing, Mao V. Ngo, Tie Luo, Hakima Chaouchi, Tony Q.S. Quek Nov 2020

Contextual-Bandit Anomaly Detection For Iot Data In Distributed Hierarchical Edge Computing, Mao V. Ngo, Tie Luo, Hakima Chaouchi, Tony Q.S. Quek

Computer Science Faculty Research & Creative Works

Advances in deep neural networks (DNN) greatly bolster real-time detection of anomalous IoT data. However, IoT devices can hardly afford complex DNN models, and offloading anomaly detection tasks to the cloud incurs long delay. In this paper, we propose and build a demo for an adaptive anomaly detection approach for distributed hierarchical edge computing (HEC) systems to solve this problem, for both univariate and multivariate IoT data. First, we construct multiple anomaly detection DNN models with increasing complexity and associate each model with a layer in HEC from bottom to top. Then, we design an adaptive scheme to select one …

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Evaluation Of Anti-Aging Performance Of Biochar Modified Asphalt Binder, Wenhao Dong, Feng Ma, Chen Li, Zhen Fu, Yue Huang, Jenny Liu Nov 2020

Evaluation Of Anti-Aging Performance Of Biochar Modified Asphalt Binder, Wenhao Dong, Feng Ma, Chen Li, Zhen Fu, Yue Huang, Jenny Liu

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

As a renewable biomass resource, biochar is new to modify or replace asphalt binder in pavement engineering. This paper focuses on the effect of biochar on the anti-aging performance of asphalt binder. The short-and long-term aging properties of biochar modified asphalt binder were investigated using dynamic shear rheometer (DSR) and bending beam rheometer (BBR) tests. The modification mechanism was investigated through the Fourier-transform infrared spectroscopy (FTIR) test. The aging tests and viscosity analysis showed that the softening point of biochar modified asphalt binder was higher than base asphalt binder, while the aging index and aging viscosity ratio were lower than …

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Determination Of The Cost Optimum Passive Cooling Design Solutions For Residential Buildings In Uae: The Case Study Of Sharjah Governmental Villas, Raghad Azzam Ghazal Nov 2020

Determination Of The Cost Optimum Passive Cooling Design Solutions For Residential Buildings In Uae: The Case Study Of Sharjah Governmental Villas, Raghad Azzam Ghazal

Theses

على مدى العقود الثلاثة الماضية، شهدت الإمارات العربية المتحدة تطور ا حضري ا سريعا ، وتم تصنيفها كأعلى نشاط بناء في العالم لكل كيلومتر مربع. قطاع البناء هو أكبر مستهلك للطاقة وأكبر مساهم في انبعاثات ثاني أكسيد الكربون في دولة الإمارات العربية المتحدة، حيث يستخدم حوالي 60 ٪ من إجمالي الكهرباء. يستهلك القطاع السكني حوالي 30 ٪ من إجمالي استهلاك الكهرباء )هيئة كهرباء ومياه دبي، 2017 (. الهدف من هذه الأطروحة هو تحديد أفضل الحلول المستدامة من حيث التكلفة الإجمالية للفلل السكنية في الإمارات العربية المتحدة. المنهجية المتبعة في هذه الأطروحة ستأخذ في عين الاعتبار الجوانب البيئية والاقتصادية لمرحلتي الإنشاء …

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Calcium Phosphate/Ionic Liquid Ptfe Composite Membrane For Proton Exchange Membrane Fuel Cell Applications, Ahmad Ibrahim Hasan Ka’Ki Nov 2020

Calcium Phosphate/Ionic Liquid Ptfe Composite Membrane For Proton Exchange Membrane Fuel Cell Applications, Ahmad Ibrahim Hasan Ka’Ki

Theses

The dependence on fossil fuels can be possibly reduced by the utilization of renewable energy sources. Fuel cells offer a promising alternative for renewable power generation. Among the various types of fuel cells, Proton Exchange Membrane Fuel Cell (PEMFC) is recently attracting attention due to its several advantages of high-power density, all solid structure, and silent operation. The diverse types of materials used in this type of fuel cell raised drawbacks related to fuel cell cost and durability. By far, Nafion of DuPont is still the current state-of-the-art membrane for PEMFCs. It is known for its high ionic conductivity and …

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Impact Of Different Environmental Conditions On The Thermo-Mechanical Characteristics Of Compacted And Non-Compacted Carbon/Epoxy Plain Weave Woven Laminated Composites, Maryam Hamad Helal Thabet Al Kuwaiti Nov 2020

Impact Of Different Environmental Conditions On The Thermo-Mechanical Characteristics Of Compacted And Non-Compacted Carbon/Epoxy Plain Weave Woven Laminated Composites, Maryam Hamad Helal Thabet Al Kuwaiti

Theses

Fibre-reinforced polymeric composites used for aerospace applications are subjected to different environmental conditions during their operational life, such as moisture and temperature, which can adversely affect their performance over time. On the other hand, the standard fabrication process of these composite aircraft components requires a certain level of in-process vacuum compaction during the composite lay-up process to ensure the escape of entrapped air between the composite layers to prevent the formation of voids, through the application of bleeders/breathers around the composite laminate known for creating a channel for air to escape through. The aim of this study is to evaluate …

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A New Green Composite Based On Polylactic Acid Mixed With Biomass From Uae Date Palm Waste For Cutlery And Food Packaging Applications, Noran Hussein Awad Elsayed Mousa Nov 2020

A New Green Composite Based On Polylactic Acid Mixed With Biomass From Uae Date Palm Waste For Cutlery And Food Packaging Applications, Noran Hussein Awad Elsayed Mousa

Theses

Petroleum-based plastic cutlery is widely used and due to its non-biodegradable properties, they cause serious threats to the environment. Therefore, there is a need to fabricate such products from biodegradable material. Date Palm Rachis (DPR) waste was used as a filler in three levels of 30 wt%, 40 wt% and 50 wt% for cost-performance optimization balance and to improve the thermal behaviours of the biodegradable Polylactic Acid (PLA). The preparation of biodegradable PLA/date palm waste composites was done using a melt mixing extruder at 180°C by varying parameters such as mixing time, the composition of date palm waste biomass, biomass …

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Characterization And Manipulation Of Carbon Precursor Species During Plasma Enhanced Chemical Vapor Deposition Of Graphene, Otto Zietz, Samuel Olson, Brendan Coyne, Yilian Liu, Jun Jiao Nov 2020

Characterization And Manipulation Of Carbon Precursor Species During Plasma Enhanced Chemical Vapor Deposition Of Graphene, Otto Zietz, Samuel Olson, Brendan Coyne, Yilian Liu, Jun Jiao

Mechanical and Materials Engineering Faculty Publications and Presentations

To develop a synthesis technique providing enhanced control of graphene film quality and uniformity, a systematic characterization and manipulation of hydrocarbon precursors generated during plasma enhanced chemical vapor deposition of graphene is presented. Remote ionization of acetylene is observed to generate a variety of neutral and ionized hydrocarbon precursors, while in situ manipulation of the size and reactivity of carbon species permitted to interact with the growth catalyst enables control of the resultant graphene morphology. Selective screening of high energy hydrocarbon ions coupled with a multistage bias growth regime results in the production of 90% few-to-monolayer graphene on 50 nm …

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Implementing Project Management Software Into A Small Residential Construction Company, Collin Peter Martin Nov 2020

Implementing Project Management Software Into A Small Residential Construction Company, Collin Peter Martin

Construction Management

Over the past twenty years, the popularity of web-based project management software in the construction industry has grown tremendously. Today, there are a variety of different project management software companies that aim to specifically serve the construction industry. Many construction companies have committed significant financial and personnel resources to the implementation of project management software. The largest users of project management software in the construction industry are large commercial and/or heavy civil construction firms. This is because of the large and complex nature of the projects these companies typically work on. Small residential construction companies deal with projects that are …

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Understanding Slo 22 - Lifelong Learning, Madeleine Zetterquist Nov 2020

Understanding Slo 22 - Lifelong Learning, Madeleine Zetterquist

Construction Management

This paper is an informative overview of the student learning objective SLO 22, lifelong learning, in relation to the California Polytechnic State University, San Luis Obispo Construction Management Department. The student learning objective of lifelong learning is an existing university objective for Cal Poly, however, recently has also become a department specific objective for Construction Management. This senior project explores what lifelong learning means to the Construction Management department. Further, the paper explores how the current outcomes of this objective may improve to more closely embody the department mission. These findings will allow for emphasis on lifelong learning in order …

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Biomechanical And Biophysical Properties Of Breast Cancer Cells Under Varying Glycemic Regimens, Diganta Dutta, Xavier-Lewis Palmer, Jose Ortega-Rodas, Vasundhara Balraj, Indrani Ghosh Dastider, Surabhi Chandra Nov 2020

Biomechanical And Biophysical Properties Of Breast Cancer Cells Under Varying Glycemic Regimens, Diganta Dutta, Xavier-Lewis Palmer, Jose Ortega-Rodas, Vasundhara Balraj, Indrani Ghosh Dastider, Surabhi Chandra

Electrical & Computer Engineering Faculty Publications

Diabetes accelerates cancer cell proliferation and metastasis, particularly for cancers of the pancreas, liver, breast, colon, and skin. While pathways linking the 2 disease conditions have been explored extensively, there is a lack of information on whether there could be cytoarchitectural changes induced by glucose which predispose cancer cells to aggressive phenotypes. It was thus hypothesized that exposure to diabetes/high glucose alters the biomechanical and biophysical properties of cancer cells more than the normal cells, which aids in advancing the cancer. For this study, atomic force microscopy indentation was used through microscale probing of multiple human breast cancer cells (MCF-7, …

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Determining Ground Elevations Covered By Vegetation On Construction Sites Using Drone-Based Orthoimage And Convolutional Neural Network, Yuhan Jiang, Yong Bai, Sisi Han Nov 2020

Determining Ground Elevations Covered By Vegetation On Construction Sites Using Drone-Based Orthoimage And Convolutional Neural Network, Yuhan Jiang, Yong Bai, Sisi Han

Civil and Environmental Engineering Faculty Research and Publications

Three-dimensional (3D) surveying of a construction site using an image-based method may produce incorrect ground elevation results at vegetation-covered regions, because the light rays are reflected on the surface of vegetation in front of the “truth” ground. This paper presents a convolutional neural network (CNN) method to identify and locate static vegetation using drone-based high-resolution orthoimages. The developed CNN-based image classification models are supplemented with an overlapping disassembling algorithm to generate , , , or small-patches as model inputs. The training datasets are 10 pairs of orthoimage and label-image dataset. Experimental results show that cropping a high-resolution image into 9,025 …

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