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Articles 1411 - 1440 of 11944
Full-Text Articles in Entire DC Network
Personalized Breast Cancer Onset Prediction From Lifestyle And Health History Information, Shi Ang Qi, Neeraj Kumar, Jian Yi Xu, Jaykumar Patel, Sambasivarao Damaraju, Grace Shen-Tu, Russell Greiner
Personalized Breast Cancer Onset Prediction From Lifestyle And Health History Information, Shi Ang Qi, Neeraj Kumar, Jian Yi Xu, Jaykumar Patel, Sambasivarao Damaraju, Grace Shen-Tu, Russell Greiner
Faculty Publications
We propose a method to predict when a woman will develop breast cancer (BCa) from her lifestyle and health history features. To address this objective, we use data from the Alberta's Tomorrow Project of 18,288 women to train Individual Survival Distribution (ISD) models to predict an individual's Breast-Cancer-Onset (BCaO) probability curve. We show that our three-step approach-(1) filling missing data with multiple imputations by chained equations, followed by (2) feature selection with the multivariate Cox method, and finally, (3) using MTLR to learn an ISD model-produced the model with the smallest L1-Hinge loss among all calibrated models with comparable C-index. …
A Systematic Literature Review Of Anti-Discrimination Design Strategies In The Digital Sharing Economy, Miroslav Tushev, Fahimeh Ebrahimi, Anas Mahmoud
A Systematic Literature Review Of Anti-Discrimination Design Strategies In The Digital Sharing Economy, Miroslav Tushev, Fahimeh Ebrahimi, Anas Mahmoud
Faculty Publications
Applications of the Digital Sharing Economy (DSE), such as Uber, Airbnb, and TaskRabbit, have become a main facilitator of economic growth and shared prosperity in modern-day societies. However, recent research has revealed that the participation of minority groups in DSE activities is often hindered by different forms of bias and discrimination. Evidence of such behavior has been documented across almost all domains of DSE, including ridesharing, lodging, and freelancing. However, little is known about the underlying design decisions of DSE platforms which allow certain demographics of the market to gain unfair advantage over others. To bridge this knowledge gap, in …
Development Of Ultra-High Performance Engineered Geopolymer Composites (Uhp-Egcs), Hassan Noorvand, Miladin Radovic, Marwa Hassan, Svetlana Sukhishvili, Gabriel Arce, Ruwa Abufarsakh, Adriana A. Alvarado, Oscar Huang, Sang Zhen
Development Of Ultra-High Performance Engineered Geopolymer Composites (Uhp-Egcs), Hassan Noorvand, Miladin Radovic, Marwa Hassan, Svetlana Sukhishvili, Gabriel Arce, Ruwa Abufarsakh, Adriana A. Alvarado, Oscar Huang, Sang Zhen
Publications
This study investigated the possibility of developing novel UHP-EGC materials for the repair and new construction of transportation infrastructure in Region 6 by utilizing locally available resources. To this end, the geopolymers (GPs) in this study were synthesized by activating metakaolin (MK) with potassium silicate and sodium silicate solutions. The solutions were manufactured in the laboratory by dissolving silica fume and potassium hydroxide (KOH) or sodium hydroxide (NaOH) in deionized water. MK-based GP binders, mortars, and fiber-reinforced composites were manufactured and evaluated to determine their density, compressive strength, tensile properties, and slant shear bond strength to Portland cement concrete (PCC). …
Deep Learning For Predicting The Thermomechanical Behavior Of Shape Memory Polymers, Diego Segura Ibarra, Jacob Mathews, Fan Li, Hongfang Lu, Guoqiang Li, Jinyuan Chen
Deep Learning For Predicting The Thermomechanical Behavior Of Shape Memory Polymers, Diego Segura Ibarra, Jacob Mathews, Fan Li, Hongfang Lu, Guoqiang Li, Jinyuan Chen
Faculty Publications
Thermomechanical constitutive modeling is essential for shape memory polymers (SMPs) to be used in engineering structures and devices. However, the classical method of deriving constitutive models is difficult, time consuming, and relies heavily on trial and error. In this work, we aim to decrease the time and resources needed to develop new thermomechanical models for SMPs. The method proposed in this work uses deep learning (DL) to predict the thermomechanical behavior of SMPs under thermomechanical cycles. Particularly, a semicrystalline two-way shape memory polymer (2W-SMP) is selected as an example. Predicting such behavior will give insight on the SMP properties and …
Estimation Of Economic Risk From Coastal Natural Hazards In Louisiana, Rubayet Bin Mostafiz
Estimation Of Economic Risk From Coastal Natural Hazards In Louisiana, Rubayet Bin Mostafiz
LSU Doctoral Dissertations
Louisiana, U.S.A., is among the most vulnerable areas globally to coastal natural hazards, with risk vulnerability likely increasing. The risks associated with non-tropical-cyclone hazards in Louisiana’s coastal zone have been understudied. This research enhances present and future (i.e., 2050) Louisiana risk assessment using locally-weighted, model-based hazard frequency/intensity and population projections.
Results suggest that property risks associated with extreme cold temperature and tornado are and will remain costlier than those for hail and lightning. Property risks of extreme cold temperature and hail are projected to decrease with the expected warming temperatures, with those of all four of these hazards peaking in …
Studies Of Roseau Cane Dieback In The Lower Mississippi River Delta Based On Remote Sensing Data Including Landsat, Worldview, And Drone, Nan Shang
LSU Doctoral Dissertations
This research focused on the Roseau cane (Phragmites australis) dieback assessment in the lower MRD of Louisiana and introduced a comprehensive and systematic multi-source remote sensing method for assessing wetland and Roseau cane dieback and habitat dynamics analysis from three scale levels from large-scale to small scale.
Large-scale historical vegetation/land change analyses were conducted in the lower MRD based on Landsat in the past two decades (2001 - 2021). A strong increasing trend of vegetation was found since 2005. Around 51 km2 ofdieback area was detected which accounts for 11% of the overall vegetation coverage. This research …
Numerical Investigation Of Heat Generation And Accumulation Contributing To Elevated Temperature In Msw Landfills, Alborz Fathinezhad
Numerical Investigation Of Heat Generation And Accumulation Contributing To Elevated Temperature In Msw Landfills, Alborz Fathinezhad
LSU Doctoral Dissertations
Landfills are complex geostructures which contains organic and inorganic municipal, and in some cases industrial, wastes and are expected to remain operational for long times. Due to the complex nature of physical, chemical, biological, and thermal reactions that carry on within the depths of a landfill, unexpected incidents such as elevated temperatures could become inevitable. While uncommon to happen, elevated temperatures cause health and environmental issues such as odors, rapid settlements, slope instabilities. In addition, elevated temperatures can negatively impact engineered components in composite bottom liners, cover systems, leachate collection, and gas extraction and recovery systems.
Air intrusion into municipal …
Comparison Of Rt-Qpcr And Rt-Dpcr Platforms For The Trace Detection Of Sars-Cov-2 Rna In Wastewater, Warish Ahmed, Wendy J.M. Smith, Suzanne Metcalfe, Greg Jackson, Phil M. Choi, Mary Morrison, Daniel Field, Pradip Gyawali, Aaron Bivins, Kyle Bibby, Stuart L. Simpson
Comparison Of Rt-Qpcr And Rt-Dpcr Platforms For The Trace Detection Of Sars-Cov-2 Rna In Wastewater, Warish Ahmed, Wendy J.M. Smith, Suzanne Metcalfe, Greg Jackson, Phil M. Choi, Mary Morrison, Daniel Field, Pradip Gyawali, Aaron Bivins, Kyle Bibby, Stuart L. Simpson
Faculty Publications
We compared reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and RT digital PCR (RT-dPCR) platforms for the trace detection of SARS-CoV-2 RNA in low-prevalence COVID-19 locations in Queensland, Australia, using CDC N1 and CDC N2 assays. The assay limit of detection (ALOD), PCR inhibition rates, and performance characteristics of each assay, along with the positivity rates with the RT-qPCR and RT-dPCR platforms, were evaluated by seeding known concentrations of exogenous SARS-CoV-2 in wastewater. The ALODs using RT-dPCR were approximately 2-5 times lower than those using RT-qPCR. During sample processing, the endogenous (n = 96) and exogenous (n = 24) SARS-CoV-2 wastewater …
Environmental Controls On Carbon Biogeochemistry In Aquatic Systems, Lee Potter
Environmental Controls On Carbon Biogeochemistry In Aquatic Systems, Lee Potter
LSU Master's Theses
Carbon dioxide (CO2) outgassing from inland waters is a small but critical component of the global carbon cycle that is currently not well constrained. This thesis is composed of three interrelated studies with an overarching goal to further determine environmental factors impacting carbon dynamics in rivers and lakes. These studies utilized water samples and in situ measurements of pCO2 and ambient water parameters from the Lower Mississippi River at Baton Rouge and University Lake in Baton Rouge Louisiana, USA collected between January 2021 and August 2022. Additional Meteorological and hydrological data were download from public sources. Results …
Self-Powered Lights For Photosynthetic Cultures, Maria T. Gutierrez-Wing, Jin-Woo Choi
Self-Powered Lights For Photosynthetic Cultures, Maria T. Gutierrez-Wing, Jin-Woo Choi
College of Agriculture Patents
Various examples of methods and systems are provided for increasing productivity of one or more photosynthetic cultures via self-powered energy output systems. In one example, a system includes a waterproof casing and an energy output module enclosed within the waterproof casing. The waterproof casing is configured to be neutrally buoyant in an enclosure comprising the one or more photosynthetic cultures. In another example, a method includes placing a self-powered energy output system within an enclosure, the self-powered energy output system being neutrally buoyant within the enclosure. The method further includes causing turbulence within the enclosure, and the self-powered energy output …
A Machine Learning Approach To Robotic Additive Manufacturing Of Uv-Curable Polymers Using Direct Ink Writing, Luis A. Velazquez
A Machine Learning Approach To Robotic Additive Manufacturing Of Uv-Curable Polymers Using Direct Ink Writing, Luis A. Velazquez
LSU Master's Theses
This thesis presents the design and implementation of a robotic additive manufacturing system that uses ultraviolet (UV)-curable thermoset polymers. Its design considers future applications involving free-standing 3D printing by means of partial UV curing and the fabrication of samples that are reinforced with fillers or fibers to manufacture complex-shape objects.
The proposed setup integrates a custom-built extruder with a UR5e collaborative manipulator. The capabilities of the system were demonstrated using Anycubic resin formulations containing fumed silica (FS) at varying weight fractions from 2.8 to 8 wt%. To fully cure the specimens after fabrication, a UV chamber was used. Then, measurements …
The Applied Use Of Zein Nanoparticles In Agriculture, Colin Bonser
The Applied Use Of Zein Nanoparticles In Agriculture, Colin Bonser
LSU Doctoral Dissertations
Nanotechnology is a multifaceted and a promising strategy in agricultural pest management for the development of insecticides or insecticide carriers. Research has shown that nanoparticles increase stability and efficacy of entrapped chemical pesticides to prevent active ingredient degradation while improving chemical stability and solubility. The following work evaluated nanoparticles synthesized from biopolymers, materials that originate from renewable sources also have an increased biodegradability.
Work was conducted under laboratory, greenhouse, and field conditions to test the biopoloymers as possible insecticide and insecticide carriers. The primary biopolymer evaluated in the following studies was zein, although lignin and chitosan were also evaluated. Overall, …
Enabling The Human Perception Of A Working Camera In Web Conferences Via Its Movement, Anish Shrestha
Enabling The Human Perception Of A Working Camera In Web Conferences Via Its Movement, Anish Shrestha
LSU Master's Theses
In recent years, video conferencing has seen a significant increase in its usage due to the COVID-19 pandemic. When casting user’s video to other participants, the videoconference applications (e.g. Zoom, FaceTime, Skype, etc.) mainly leverage 1) webcam’s LED-light indicator, 2) user’s video feedback in the software and 3) the software’s video on/off icons to remind the user whether the camera is being used. However, these methods all impose the responsibility on the user itself to check the camera status, and there have been numerous cases reported when users expose their privacy inadvertently due to not realizing that their camera is …
Esterase Mediated Insecticide Resistance In The Southern House Mosquito, Culex Quinquefasciatus, Vivek Pokhrel
Esterase Mediated Insecticide Resistance In The Southern House Mosquito, Culex Quinquefasciatus, Vivek Pokhrel
LSU Doctoral Dissertations
Much is known about the development of insecticide resistance associated with targeted application against insect populations. However, off-target selection by applications of insecticides in agricultural and residential sites also impacts development of insecticide resistance and is understudied. Similarly, the impact of selecting one life stage of mosquitoes on the insecticide susceptibility of different life stages is largely unknown. The first part of this study shows that susceptibility to chlorantraniliprole, which is applied in rice and sugarcane fields in LA, decreased (5.7 to12-fold) in populations of Culex quinquefasciatus collected from near these fields compared to a reference field strain. In addition, …
Toward A Safer Transportation System For Senior Road Users, Saba Doulabi
Toward A Safer Transportation System For Senior Road Users, Saba Doulabi
LSU Doctoral Dissertations
Senior pedestrians and drivers (65 years and older) are among the most vulnerable road users. As the population of seniors rise, concerns regarding older adults' traffic safety are growing. The advantages of using autonomous vehicles, innovative vehicle technologies, and active transportation are becoming more widely recognized to improve seniors' mobility and safety. This behooves researchers to further investigate senior road users’ safety challenges and countermeasures. This study contributes to the literature by achieving two main goals. First, to explore contributing factors affecting the safety of older pedestrians and drivers in the current transportation system. Second, to examine seniors’ perceptions, preferences, …
Compilation Optimizations To Enhance Resilience Of Big Data Programs And Quantum Processors, Travis D. Lecompte
Compilation Optimizations To Enhance Resilience Of Big Data Programs And Quantum Processors, Travis D. Lecompte
LSU Doctoral Dissertations
Modern computers can experience a variety of transient errors due to the surrounding environment, known as soft faults. Although the frequency of these faults is low enough to not be noticeable on personal computers, they become a considerable concern during large-scale distributed computations or systems in more vulnerable environments like satellites. These faults occur as a bit flip of some value in a register, operation, or memory during execution. They surface as either program crashes, hangs, or silent data corruption (SDC), each of which can waste time, money, and resources. Hardware methods, such as shielding or error correcting memory (ECM), …
Spam Detection Using Machine Learning And Deep Learning, Olubodunde Agboola
Spam Detection Using Machine Learning And Deep Learning, Olubodunde Agboola
LSU Doctoral Dissertations
Text messages are essential these days; however, spam texts have contributed negatively to the success of this communication mode. The compromised authenticity of such messages has given rise to several security breaches. Using spam messages, malicious links have been sent to either harm the system or obtain information detrimental to the user. Spam SMS messages as well as emails have been used as media for attacks such as masquerading and smishing ( a phishing attack through text messaging), and this has threatened both the user and service providers. Therefore, given the waves of attacks, the need to identify and remove …
Design, Synthesis, And Characterization Of Nqo1-Activatable Luminescent Probes, Ovini Vionika Weeratung Kankanamge
Design, Synthesis, And Characterization Of Nqo1-Activatable Luminescent Probes, Ovini Vionika Weeratung Kankanamge
LSU Doctoral Dissertations
Being among the top ten causes of death, cancer has constantly been able to grab the attention of researchers all around the world. While several treatment methods prevail to cure cancer, the seriousness of this medical condition requires continuous work in the development of novel treatments as well as scientific advancements in order to achieve early detection of the disease. Luminescence imaging is an emerging field in both diagnosis of diseases, as well as a means to provide guidance in clinical surgeries. While there exist only a few contrasting agents approved by the Food and Drug Administration, the need for …
Sers Platform For Single Fiber Endoscopic Probes, Debsmita Biswas
Sers Platform For Single Fiber Endoscopic Probes, Debsmita Biswas
LSU Doctoral Dissertations
Molecular detection techniques have huge potential in clinical environments. In addition to many other molecular detection techniques, endoscopic Raman spectroscopy has great ability in terms of minimal invasiveness and real-time spectra acquisition. However, Raman Effect is low in sensitivity, limiting the application. Surface-Enhanced Raman Scattering (SERS), addresses this limitation. SERS brings rough nano-metallic surfaces in contact with specimen molecules which enormously enhances Raman signals. This provides Raman spectroscopy with immense capabilities for diverse fields of applications.
Generally, in clinical probe applications, the spectrometer is brought near the target molecules for detection. Typically, optical fibers are used to couple spectrometers to …
Fish And Invertebrate Community And Trophic Structure In The Gulf Of Mexico Coastal Plains Watersheds Across Varying Hydrologic Connectivity., Erin Elizabeth Thayer
Fish And Invertebrate Community And Trophic Structure In The Gulf Of Mexico Coastal Plains Watersheds Across Varying Hydrologic Connectivity., Erin Elizabeth Thayer
LSU Doctoral Dissertations
Subtropical Northern Gulf of Mexico coastal plains watersheds tend to have mild seasonal temperature, low topography, and fine, mostly homogenous substrate sizes; these watersheds may not follow fish and invertebrate community patterns predicted by established lotic paradigms because those paradigms tend to describe communities in either temperate or tropical regions. However, the bases of most generally accepted lotic paradigms involve evaluation of allochthonous and autochthonous contributions to lotic ecosystems via three hydrologic connectivity dimensions including vertical (hyporheic and shallow groundwater), lateral (floodplain), and longitudinal (upstream and downstream). My dissertation goals were to explore these three dimensions within Louisiana coastal plains …
From Biowaste To Product: The Functionalization Of Biochar For Agricultural And Environmental Applications, Baoyue Zhou
From Biowaste To Product: The Functionalization Of Biochar For Agricultural And Environmental Applications, Baoyue Zhou
LSU Doctoral Dissertations
Biochar is a porous carbonated substance that is manufactured through pyrolysis of biomass feedstocks in an oxygen-deficiency environment. The production of biochar from agricultural waste materials provides a potential solution for eliminating pollution while improving carbon sequestration. While biochar is shown to provide multiple benefits to soil health and fertility, its use in environmental remediation has been hampered by its low affinity for hazardous anionic species and the difficulty in isolating from water phase. To overcome these obstacles, various efforts have been made to modify biochar surface chemistry and morphology.
Fe/Mg co-doped biochar composites from sugarcane harvest residue were prepared …
Assessing Turgor Loss Point In Bottomland Hardwood Trees Using Leaf Spectroscopy, Alexandra M. Eisley
Assessing Turgor Loss Point In Bottomland Hardwood Trees Using Leaf Spectroscopy, Alexandra M. Eisley
LSU Master's Theses
Climate change is expected to radically alter our planet’s forests, with higher frequencies of drought- and flood-induced mortality events posing a challenge for forest managers and biologists. Research into the factors underlying plant tolerance to environmental stressors is therefore gaining popularity for incorporation into projective and earth system modeling using remote sensing measures. Leaf turgor loss point (TLP) is a key trait associated with drought tolerance among plants and is defined as the water potential at which leaf turgor pressure reaches zero, causing wilting. Here, I investigated patterns of TLP across the landscape and its role as an indicator of …
Interactive Industrial Energy Assessment Learning Platform Using 360-Degree Virtual Reality Contents, Laleh Ghanbari
Interactive Industrial Energy Assessment Learning Platform Using 360-Degree Virtual Reality Contents, Laleh Ghanbari
LSU Doctoral Dissertations
The traditional passive industrial energy assessment training methods included low direct involvement of students, and they lacked an engaging learning environment. Since the main task for energy assessment is visual inspection and data collection, traditional passive training methods were not able to provide hands-on experience for the students. An active training method was needed to make the current industrial energy assessment training more efficient and effective, a method which provides the opportunity for students to have more interaction with the training environment. In this study, an interactive industrial energy assessment learning platform using 360ᵒ virtual reality contents was developed. The …
A Field-Deployable Quartz Crystal Microbalance System For Gas Detection, Jongyoon Park
A Field-Deployable Quartz Crystal Microbalance System For Gas Detection, Jongyoon Park
LSU Doctoral Dissertations
Quartz crystal microbalance (QCM) has been widely studied as a mass sensing technique in laboratory environments and has shown a wide range of industrial applications such as food quality control, various forms of chemical detection, and biomolecular recognition under gas phase as well as liquid phase media. The construction of multi-sensor arrays combined with special sensor coatings enables multiple analyte detections and discrimination of multi-analyte along with statistical analysis. Despite the great sensing capabilities of QCM and growing interest in practical applications beyond the laboratory setup, most QCM studies are still performed in laboratory settings with benchtop QCM instruments. Therefore, …
The Impact Of Visual Stimuli And Properties On Restorative Effect And Human Stress: A Literature Review, Alireza Sedghikhanshir, Yimin Zhu, Melissa R. Beck, Amirhosein Jafari
The Impact Of Visual Stimuli And Properties On Restorative Effect And Human Stress: A Literature Review, Alireza Sedghikhanshir, Yimin Zhu, Melissa R. Beck, Amirhosein Jafari
Faculty Publications
Restorative environments are known as places where human stress can be decreased through restoration of depleted psychological resources. Since the efficiency of natural environments in restoration is supported by the literature, designing a restorative built environment can be obtained by integrating natural objects into built environments. However, various factors may lead to the failure of design intentions in real restorative environments such as visual stimuli and their properties. In addition, previous literature has widely used images and immersive virtual environments (IVEs) to deliver restorative environments in the design stage, and the impact of the delivery methods on visual properties needs …
The Hopeful Expect To Be Comfortable: Exploring Emotion And Personal Norms Related To Sustainable Buildings In The United States, Laura Arpan, Romina Rissetto, Zhuxuan Yan, Astrid Roetzel, Elie Azar, Farrokh Jazizadeh, Federica Morandi, Yimin Zhu, Arsalan Heydarian, Leonidas Bourikas, Gesche Huebner, Andrea Gasparella
The Hopeful Expect To Be Comfortable: Exploring Emotion And Personal Norms Related To Sustainable Buildings In The United States, Laura Arpan, Romina Rissetto, Zhuxuan Yan, Astrid Roetzel, Elie Azar, Farrokh Jazizadeh, Federica Morandi, Yimin Zhu, Arsalan Heydarian, Leonidas Bourikas, Gesche Huebner, Andrea Gasparella
Faculty Publications
Sustainable buildings are designed to reduce energy use and other environmental impacts and to provide indoor environmental conditions that maximize well-being and satisfaction among building occupants. However, occupants' comfort in and satisfaction with such buildings has been inconsistent. Evidence indicates occupants' expectations of indoor building environments influence their perceptions of climatic conditions (e.g., temperature) and comfort while in buildings. Accordingly, it is important to better understand a priori expectations associated with sustainable buildings. An online experiment examined the influence of exposure to a depiction of a sustainable vs. a conventional building on a priori expectations of indoor environmental conditions/quality (IEQ) …
Comparison Of Two Capital Cost Assessment Methods For A Styrene Process Design, Marian K. Luzier
Comparison Of Two Capital Cost Assessment Methods For A Styrene Process Design, Marian K. Luzier
Honors Capstones
No abstract provided.
Rebar-Free 3d Printing Of Transportation Infrastructure, Ali Kazemian, Marwa Hassan, Hassan Noorvand, Gabriel Arce, Hassan Ahmed, Ilerioluwa Giwa
Rebar-Free 3d Printing Of Transportation Infrastructure, Ali Kazemian, Marwa Hassan, Hassan Noorvand, Gabriel Arce, Hassan Ahmed, Ilerioluwa Giwa
Data
This study investigates the fresh and hardened-state properties of printing mixtures including different dosages of steel fibers, especially at higher dosages which have not been investigated before. This study also considers the effects of other parameters such as sand-to-powder ratio and the limestone content on the properties of steel fiber reinforced printing materials, to reduce the Portland cement content which has a high carbon footprint. The obtained experimental results revealed that high-performance materials incorporating up to 2.5% steel fibers (by volume) can be successfully 3D printed. The mechanical properties of the reinforced mixtures improved significantly at high fiber dosages (2% …
Low-Cost Sustainable Engineered Geopolymer Composites (Egcs) For Repair And New Construction Of Transportation Infrastructure, Hassan Noorvand, Marwa Hassan, Miladin Radovic, Svetlana Sukhishvili, Gabriel Arce, Ruwa Abufarsakh, Adriana A. Alvarado, Oscar Huang, Sang Zhen
Low-Cost Sustainable Engineered Geopolymer Composites (Egcs) For Repair And New Construction Of Transportation Infrastructure, Hassan Noorvand, Marwa Hassan, Miladin Radovic, Svetlana Sukhishvili, Gabriel Arce, Ruwa Abufarsakh, Adriana A. Alvarado, Oscar Huang, Sang Zhen
Data
This study evaluated the use of cost-effective alternative materials in the formulation of novel low-cost Engineered Geopolymer Composite (EGC) materials for repair and new construction of transportation infrastructure in Region 6. Previous studies and reports have shown that EGCs have excellent mechanical properties, which makes them an eco-friendly and more sustainable alternative to Engineered Cementitious Composites (ECCs). However, the mass adoption of these emerging composites is expected to be hindered by their cost, which is mainly driven by the use of PVA reinforcing fibers, silica fume (SF), and manufactured microsilica sand (MS). To address this key shortcoming, novel low-cost EGC …
Development Of Robotics & Automation Roadmap For Road Construction/Maintenance Projects, Ashrant Aryal, Chao Wang, Chintan Vijay Vora, Sueed A. Willoughby
Development Of Robotics & Automation Roadmap For Road Construction/Maintenance Projects, Ashrant Aryal, Chao Wang, Chintan Vijay Vora, Sueed A. Willoughby
Data
Over the past few decades, there have been no significant improvements in the construction industry's productivity. Outside the construction industry, robots have proven to be beneficial in improving productivity, safety, and quality. There is a growing interest in adopting robots in the construction industry to address these issues. As robots get introduced to the project sites, human-robot interaction becomes an important consideration for wide-scale adoption. The success of deploying robots in the construction industry depends on how well humans collaborate with the robots. This project focused on investigating the perception of various construction industry stakeholders in adopting robots in their …