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Articles 601 - 630 of 3540
Full-Text Articles in Entire DC Network
The Need For Interdisciplinarity: A Case On Employees’ Perspectives, Dennis Friedrichsen, Maiken Winther, Anette Kolmos
The Need For Interdisciplinarity: A Case On Employees’ Perspectives, Dennis Friedrichsen, Maiken Winther, Anette Kolmos
Research Papers
The issue of interdisciplinarity contains disparate nodes of knowledge and practices, including a wealth of information concerning the potential and value of interdisciplinary work. In the context of companies that handle large-scale and complex tasks, interdisciplinarity takes on a real-life role since its presence and importance is readily observable and, as this paper shows, a conscious, deliberate, and highly valued aspect of innovation in companies. Academic literature on the issue of interdisciplinarity asserts that engineers in the future need a wealth of competences, including ability to collaborate in interdisciplinary teams. Aalborg University in Denmark has experimented with interdisciplinarity in various …
Draw Education: Graduate Student Perceptions Of Education Using An Arts-Informed Approach, Lisa Schibelius, Homero Murzi
Draw Education: Graduate Student Perceptions Of Education Using An Arts-Informed Approach, Lisa Schibelius, Homero Murzi
Research Papers
Education has been shifting to foster better learning environments for students with instructors as co-constructors of knowledge in the classroom. Part of this educational transformation has been accomplished through graduate student education in preparing the next generation of educators to adopt student-centered teaching approaches. Change, however, can be slow, and implementation in the classroom looks different across disciplines. The purpose of this study is to gain a better understanding of graduate students’ perceptions of education when enrolled in a course on contemporary pedagogy. We seek to answer RQ: How do perceptions of education compare between graduate students in engineering and …
The Stability Of Pre-Enrolment Prediction Of Academic Achievement: Criterion-Referencing Versus Norm-Referencing, Jolan Hanssens, Carolien Van Soom, Greet Langie
The Stability Of Pre-Enrolment Prediction Of Academic Achievement: Criterion-Referencing Versus Norm-Referencing, Jolan Hanssens, Carolien Van Soom, Greet Langie
Research Papers
Positioning tests are organized in Flanders for prospective STEM students. They provide a low-stakes opportunity to assess their level of starting competences before enrolment. Predictive validity for subsequent academic achievement is an important quality measure of these positioning tests. However, the content of the tests varies over the years. This could be problematic for making accurate predictions based on data from previous years. Therefore, the objective of this study is to compare the stability over time of the predictions of academic achievement using either criterionreferenced (absolute grading) or norm-referenced (relative grading) positioning test grades of engineering and science students. Comparisons …
Sustainable Engineering Education Embedded Curricula Research Project, Anthony Edward Smith, Alfredo Soeiro, Ragna Ann Berge, Tamer Atabarut, John Atkinson, Patricia Caratozzolo
Sustainable Engineering Education Embedded Curricula Research Project, Anthony Edward Smith, Alfredo Soeiro, Ragna Ann Berge, Tamer Atabarut, John Atkinson, Patricia Caratozzolo
Research Papers
A previous conference paper with case study report findings began this research so as to inform and be of use to the International Association for Continuing Engineering Education (IACEE) institutions and its membership on the importance of embedding sustainability in all engineering education courses from the beginning to the end of the Degree and beyond into Continuing Engineering Education (CEE) . This present project continues to qualitatively research and investigate the extent to which and how Engineering Learning Curricula (ELC) incorporate and embed sustainability as central to the future work practice of all engineers. Specifically, as the project takes a …
Professional Identity Of Female Engineering Graduates: An Exploration Of Identity Status Through Life History Research, Natascha Van Hattum-Janssen, Maaike D. Endedijk
Professional Identity Of Female Engineering Graduates: An Exploration Of Identity Status Through Life History Research, Natascha Van Hattum-Janssen, Maaike D. Endedijk
Research Papers
The number of students entering engineering programmes is too low to meet the need for engineering graduates. Still, many leave for jobs outside the technical sector right after graduation. Professional identity is a concept that helps to explain why they stay in or leave the technical sector (Cech 2014). It is the result of the process of professional socialisation. This study uses life history research to understand the professional socialisation of engineering graduates from kindergarten age until a few years after graduation. An analysis of the life experiences of male and female engineering graduates shows differences in how they describe …
Cognitive Digital Modelling For Hyperspectral Image Classification Using Transfer Learning Model, Mohammad Shabaz, Mukesh Soni
Cognitive Digital Modelling For Hyperspectral Image Classification Using Transfer Learning Model, Mohammad Shabaz, Mukesh Soni
Turkish Journal of Electrical Engineering and Computer Sciences
Deep convolutional neural networks can fully use the intrinsic relationship between features and improve the separability of hyperspectral images, which has received extensive in recent years. However, the need for a large number of labelled samples to train deep network models limits the application of such methods. The idea of transfer learning is introduced into remote sensing image classification to reduce the need for the number of labelled samples. In particular, the situation in which each class in the target picture only has one labelled sample is investigated. In the target domain, the number of training samples is enlarged by …
Streamlined Hpc Environments With Cvmfs And Cybergis-Compute, Alexander C. Michels, Mit Kotak, Anand Padmanabhan, Shaowen Wang
Streamlined Hpc Environments With Cvmfs And Cybergis-Compute, Alexander C. Michels, Mit Kotak, Anand Padmanabhan, Shaowen Wang
I-GUIDE Forum
High-Performance Computing (HPC) resources provide the potential for complex, large-scale modeling and analysis, fueling scientific progress over the last few decades, but these advances are not equally distributed across disciplines. Those in computational disciplines are often trained to have the necessary technical skills to utilize HPC (e.g. familiarity with the terminal), but many disciplines face technical hurdles when trying to apply HPC resources to their work. This unequal familiarity with HPC is increasingly a problem as cross-discipline teams work to tackle critical interdisciplinary issues like climate change and sustainability. CyberGIS-Compute is middle-ware designed to democratize to HPC services with the …
I-Guide Climbers: A Model For Multidisciplinary Academic Labs For Early Career Development, Iman Haqiqi, Wei Hu, Ramya Kumaran, Pin-Ching Li, Nicholas Manning, Alex Michels, Ayman Nassar, Jinwoo Park, Jimeng Shi, Adam Tonks, Zhaonan Wang
I-Guide Climbers: A Model For Multidisciplinary Academic Labs For Early Career Development, Iman Haqiqi, Wei Hu, Ramya Kumaran, Pin-Ching Li, Nicholas Manning, Alex Michels, Ayman Nassar, Jinwoo Park, Jimeng Shi, Adam Tonks, Zhaonan Wang
I-GUIDE Forum
In this paper, we propose a new form of multidisciplinary academic collaboration that goes beyond the traditional modes of knowledge exchange. We argue that most research collaboration today is based on interactions between closely related disciplines, in which researchers share data, methods, and insights within a common framework or problem. However, such collaboration may not foster the development of the communication and management skills essential to a multi-disciplinary research career. Therefore, we suggest establishing a network of researchers from divergent, yet complementary, disciplines who are interested in improving these skills through regular interactions and feedback. The main goal of this …
Reducing Uncertainty In Sea-Level Rise Prediction: A Spatial-Variability-Aware Approach, Subhankar Ghosh, Shuai An, Arun Sharma, Jayant Gupta, Shashi Shekhar, Aneesh Subramanian
Reducing Uncertainty In Sea-Level Rise Prediction: A Spatial-Variability-Aware Approach, Subhankar Ghosh, Shuai An, Arun Sharma, Jayant Gupta, Shashi Shekhar, Aneesh Subramanian
I-GUIDE Forum
Given multi-model ensemble climate projections, the goal is to accurately and reliably predict future sea-level rise while lowering the uncertainty. This problem is important because sea-level rise affects millions of people in coastal communities and beyond due to climate change's impacts on polar ice sheets and the ocean. This problem is challenging due to spatial variability and unknowns such as possible tipping points (e.g., collapse of Greenland or West Antarctic ice-shelf), climate feedback loops (e.g., clouds, permafrost thawing), future policy decisions, and human actions. Most existing climate modeling approaches use the same set of weights globally, during either regression or …
درجة امتلاك معلمي الجغرافيا لمهارات استخدام تقنية نظم المعلومات الجغرافية جي آي أس في المدارس الحكومية في لواء دير علا, Afaf Omar Ibrahim Albalawneh
درجة امتلاك معلمي الجغرافيا لمهارات استخدام تقنية نظم المعلومات الجغرافية جي آي أس في المدارس الحكومية في لواء دير علا, Afaf Omar Ibrahim Albalawneh
Journal of the Association of Arab Universities for Research in Higher Education مجلة اتحاد الجامعات العربية للبحوث في التعليم العالي
هدفت المقال إلى البحث في درجة امتلاك معلمي الجغرافيا لمهارات استخدام تقنية نظم المعلومات الجغرافية (GIS) في المدارس الحكومية في لواء دير علا، تمّ توزيع الاستبانة بشكلها الإلكتروني، وتمّ استرداد (100) استبانة، اعتمدت الباحثة على المنهج الوصفي، وقامت الباحثة بتطوير أداة استبانة، وتكوّنت الاستبانة في صورتها النهائية من (19) فقرة موزعة على محورين، وأظهرت النتائج أن هناك فروقاً ذات دلالة إحصائية (0.05a=) تعزى لأثر الجنس وجاءت الفروق لصالح الذكور، هذا وأوصت الدراسة إلى ضرورة إجراء المزيد من الدراسات حول استخدام تقنية نظم المعلومات الجغرافية (GIS).
The article aimed to investigate the degree to which geography teachers possess the skills of …
2023 (Fall) Ensi Informer Magazine, Morehead State University. Engineering Sciences Department
2023 (Fall) Ensi Informer Magazine, Morehead State University. Engineering Sciences Department
ENSI Informer Magazine Archive
The ENSI Informer Magazine published in the fall of 2023.
Upscaling Wetland Methane Emissions From The Fluxnet-Ch4 Eddy Covariance Network (Upch4 V1.0): Model Development, Network Assessment, And Budget Comparison, Gavin Mcnicol, Etienne Fluet-Chouinard, Zutao Ouyang, Sara Knox, Zhen Zhang, Tuula Aalto, Sheel Bansal, Kuang Yu Chang, Min Chen, Kyle Delwiche, Sarah Feron, Mathias Goeckede, Jinxun Liu, Avni Malhotra, Joe R. Melton, William Riley, Rodrigo Vargas, Kunxiaojia Yuan, Qing Ying, Qing Zhu, Pavel Alekseychik, Mika Aurela, David Billesbach, David I. Campbell, Jiquan Chen, Housen Chu, Ankur R. Desai, Eugenie Euskirchen, Jordan Goodrich, Timothy Griffis, Manuel Helbig, Takashi Hirano, Hiroki Iwata, Gerald Jurasinski, John King, Franziska Koebsch, Randall Kolka, Ken Krauss, Annalea Lohila, Ivan Mammarella
Upscaling Wetland Methane Emissions From The Fluxnet-Ch4 Eddy Covariance Network (Upch4 V1.0): Model Development, Network Assessment, And Budget Comparison, Gavin Mcnicol, Etienne Fluet-Chouinard, Zutao Ouyang, Sara Knox, Zhen Zhang, Tuula Aalto, Sheel Bansal, Kuang Yu Chang, Min Chen, Kyle Delwiche, Sarah Feron, Mathias Goeckede, Jinxun Liu, Avni Malhotra, Joe R. Melton, William Riley, Rodrigo Vargas, Kunxiaojia Yuan, Qing Ying, Qing Zhu, Pavel Alekseychik, Mika Aurela, David Billesbach, David I. Campbell, Jiquan Chen, Housen Chu, Ankur R. Desai, Eugenie Euskirchen, Jordan Goodrich, Timothy Griffis, Manuel Helbig, Takashi Hirano, Hiroki Iwata, Gerald Jurasinski, John King, Franziska Koebsch, Randall Kolka, Ken Krauss, Annalea Lohila, Ivan Mammarella
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Wetlands are responsible for 20%–31% of global methane (CH4) emissions and account for a large source of uncertainty in the global CH4 budget. Data-driven upscaling of CH4 fluxes from eddy covariance measurements can provide new and independent bottom-up estimates of wetland CH4 emissions. Here, we develop a six-predictor random forest upscaling model (UpCH4), trained on 119 site-years of eddy covariance CH4 flux data from 43 freshwater wetland sites in the FLUXNET-CH4 Community Product. Network patterns in site-level annual means and mean seasonal cycles of CH4 fluxes were reproduced accurately in tundra, boreal, and temperate regions (Nash-Sutcliffe Efficiency ∼0.52–0.63 and 0.53). …
Design And Implementation Of An Optimization Platform For Common Fixed Photovoltaic Systems, Amro Ahmad Zahrawi
Design And Implementation Of An Optimization Platform For Common Fixed Photovoltaic Systems, Amro Ahmad Zahrawi
Mechanical Engineering Theses
Most household photovoltaic (PV) panels are installed in a fixed arrangement (fixed-type) based on a rule of thumb that comes from experience. The azimuth angle is usually set facing south with a tilt angle equivalent to the location's latitude. However, research shows that this is not the best for all geographical locations and during all hours of the day. Consequently, this brings up the hypothesis that optimizing the PV system's azimuth and tilt angles would ensure that the PV panel produces the most possible output as it is adjusted to face the sun most effectively during peak sunlight hours. This …
Channel Morphology Of A Leaky Coastal Plain River: The Congaree River, Sc 1884-2022, William Nicholas Logan
Channel Morphology Of A Leaky Coastal Plain River: The Congaree River, Sc 1884-2022, William Nicholas Logan
Theses and Dissertations
Downstream changes in river planform can be associated with changes in geologic controls and often signal changes in channel geometry, bed slope, or bed material grain size. While previous studies documented downstream trends in channel geometry and planform for a variety of rivers, there is a gap in the literature on spatial and temporal trends in channel geometry on the fluvial part of Coastal Plain rivers, i.e., the not-tidally influenced part. The literature highlights the existence of crevasse splays in natural levees that allow floodplain inundation below bankfull conditions as unique feature of channels and floodplains in the Coastal Plain. …
Open-Cast Mining Deformations Monitoring Using Sentinel-1 Sar Data (Sbas Technique), Mahvash Naddaf Sangani, Seyed Reza Hosseinzadeh, José Francisco Martín Duque, Mahnaz Jahadi Toroghi, Kapil Kumar Malik
Open-Cast Mining Deformations Monitoring Using Sentinel-1 Sar Data (Sbas Technique), Mahvash Naddaf Sangani, Seyed Reza Hosseinzadeh, José Francisco Martín Duque, Mahnaz Jahadi Toroghi, Kapil Kumar Malik
Journal of Sustainable Mining
Land surface deformation created by mining activities can have negative impacts on the environment. Measuring them can be a tool for managing the environmental impacts of mining. Synthetic Aperture Radar Interferometry is a remote sensing method for measuring deformations. The main aim of this research is to investigate the deformation phenomenon on a region scale and extend our understanding of it to all mining deformation areas across the country. This paper used Small Baseline Subset Interferometric Synthetic Aperture Radar technology to obtain deformations information in the Sangan mine based on mining activities. We used 48 scenes of Single Look Complex(SLC) …
Drilling Core Identification Based On Natural Image, Gao Hui, Wu Zhenkun, Ke Yu, Tan Songcheng, He Siqi, Duan Longchen
Drilling Core Identification Based On Natural Image, Gao Hui, Wu Zhenkun, Ke Yu, Tan Songcheng, He Siqi, Duan Longchen
Coal Geology & Exploration
The traditional on-site core identification and recording mainly rely on the experience of technicians, and there are many uncertain factors. Limited by the site conditions, using mobile phones or cameras to capture the natural images is the most convenient way to collect the core information. Therefore, it is necessary to study the feature information extraction technology of core image and apply it to the identification and prediction of core type and other information. Specifically, a large number of core samples were collected, the thin-section identification method was employed to determine the core types and names, and then the core images …
Research On Artificial Population Generation And Application Based On Genetic Algorithm, Hongli Zhang, Jingshuang Deng
Research On Artificial Population Generation And Application Based On Genetic Algorithm, Hongli Zhang, Jingshuang Deng
Journal of System Simulation
Abstract: High-precision micro-population data are one of the key basic data for simulation systems such as disease spread, traffic travel, and emergency events. In reality, computer-generated artificial populations are often used for simulation. Due to computational efficiency and standardization of generation steps, the iterative proportional fitting method is currently used for artificial population synthesis. However, it has strict requirements on basic data and faces zero-unit and data representational deviation problems, and it fails to guarantee the fitting at the individual and family levels at the same time. In order to overcome this deficiency, an improved genetic algorithm using a simulated …
Social Vulnerability Of The People Exposed To Wildfires In U.S. West Coast States, Arash Modaresi Rad, John T. Abatzoglou, Erica Fleishman, Miranda H. Mockrin, Volker C. Radeloff, Yavar Pourmohamad, Megan Cattau, J. Michael Johnson, Philip Higuera, Nicholas J. Nauslar, Mojtaba Sadegh
Social Vulnerability Of The People Exposed To Wildfires In U.S. West Coast States, Arash Modaresi Rad, John T. Abatzoglou, Erica Fleishman, Miranda H. Mockrin, Volker C. Radeloff, Yavar Pourmohamad, Megan Cattau, J. Michael Johnson, Philip Higuera, Nicholas J. Nauslar, Mojtaba Sadegh
Civil Engineering Faculty Publications and Presentations
Understanding of the vulnerability of populations exposed to wildfires is limited. We used an index from the U.S. Centers for Disease Control and Prevention to assess the social vulnerability of populations exposed to wildfire from 2000–2021 in California, Oregon, and Washington, which accounted for 90% of exposures in the western United States. The number of people exposed to fire from 2000–2010 to 2011–2021 increased substantially, with the largest increase, nearly 250%, for people with high social vulnerability. In Oregon and Washington, a higher percentage of exposed people were highly vulnerable (>40%) than in California (~8%). Increased social vulnerability of …
Full Program Proceedings For 2023 Kentucky Water Resources Symposium, Kentucky Water Research Institute
Full Program Proceedings For 2023 Kentucky Water Resources Symposium, Kentucky Water Research Institute
Kentucky Water Resources Annual Symposium
No abstract provided.
Uncertainties In Retrieval Of Remote Sensing Reflectance From Ocean Color Satellite Observations, Eder I. Herrera Estrella
Uncertainties In Retrieval Of Remote Sensing Reflectance From Ocean Color Satellite Observations, Eder I. Herrera Estrella
Dissertations, Theses, and Capstone Projects
Ocean Color radiometry uses remote sensing to interpret ocean dynamics by retrieving remote sensing reflectance (������) from satellite imagery at different scales and over different time periods. ������ spectrum characterizes the ocean color that we observe, and from which we can discern concentrations of chlorophyll, organic and inorganic particles, and carbon fluxes in the ocean and atmosphere. ������ is derived from the total radiance at the top of the atmosphere (TOA). However, it only represents up to ten percent of the total signal. Hence, the retrieval of ������ from the total radiance at TOA involves the application of atmospheric correction …
Network Vulnerability Identification For The Material Routing Problem, Carson G. Long
Network Vulnerability Identification For The Material Routing Problem, Carson G. Long
Theses and Dissertations
This dissertation considers the importance of identifying spatiotemporal vulnerabilities in ground distribution networks and uses operations research methods to formulate models that allow military logistic planners to implement prevention and mitigation measures regarding the routing of personnel, equipment, and supplies in contested Areas of Responsibility (AOR). For optimization models relating to identifying spatiotemporal network vulnerabilities in distribution networks, this work leverages game theory, mixed-integer programming, multi-objective optimization, and metaheuristics to inform mitigation measures for shipment routing. This research has three related components: the first component develops a multi-objective mathematical program to identify spatiotemporal vulnerabilities via myopic heuristic identification, in combination …
Integrated Land Use And Transportation Modeling Considering The Impact Of Autonomous Vehicles, Roksana Asadi
Integrated Land Use And Transportation Modeling Considering The Impact Of Autonomous Vehicles, Roksana Asadi
Dissertations
The advent of autonomous urban mobility is expected to effect changes in land use patterns and urban development. A new framework for integrated land use and transportation system models that incorporate Autonomous Vehicles (AVs) and Shared Autonomous Vehicles (SAVs) will be needed to investigate the development of transportation and land use plans and policies. This study aims to analyze the impacts of AVs and SAVs on land use changes by defming scenarios that consider different shares of these emerging transportation modes. Also, this study explores the corollary effects of various land use factors by applying them to a case study …
An Object-Based Ground Filtering Of Airborne Lidar Data For Large-Area Dtm Generation, Hunsoo Song, Jinha Jung
An Object-Based Ground Filtering Of Airborne Lidar Data For Large-Area Dtm Generation, Hunsoo Song, Jinha Jung
Purdue University Libraries Open Access Publishing Fund
Digital terrain model (DTM) creation is a modeling process that represents the Earth’s surface. An aptly designed DTM generation method tailored for intended study can significantly streamline ensuing processes and assist in managing errors and uncertainties, particularly in large-area projects. However, existing methods often exhibit inconsistent and inexplicable results, struggle to clearly define what an object is, and often fail to filter large objects due to their locally confined operations. We introduce a new DTM generation method that performs object-based ground filtering, which is particularly beneficial for urban topography. This method defines objects as areas fully enclosed by steep slopes …
Autonomous Shipwreck Detection & Mapping, William Ard
Autonomous Shipwreck Detection & Mapping, William Ard
LSU Master's Theses
This thesis presents the development and testing of Bruce, a low-cost hybrid Remote Operated Vehicle (ROV) / Autonomous Underwater Vehicle (AUV) system for the optical survey of marine archaeological sites, as well as a novel sonar image augmentation strategy for semantic segmentation of shipwrecks. This approach takes side-scan sonar and bathymetry data collected using an EdgeTech 2205 AUV sensor integrated with an Harris Iver3, and generates augmented image data to be used for the semantic segmentation of shipwrecks. It is shown that, due to the feature enhancement capabilities of the proposed shipwreck detection strategy, correctly identified areas have a 15% …
Assessment Of Land And Renewable Energy Resource Potential For Regional Power System Integration With Ml Spatio-Temporal Clustering, Rosemary E. Alden, Claire Halloran, Donovin D. Lewis, Dan M. Ionel
Assessment Of Land And Renewable Energy Resource Potential For Regional Power System Integration With Ml Spatio-Temporal Clustering, Rosemary E. Alden, Claire Halloran, Donovin D. Lewis, Dan M. Ionel
Electrical and Computer Engineering Graduate Research
Toward the planning and development of future electric power systems with extremely large penetration of renewable resources (DERs), detailed assessment of power and energy potential is needed considering both spatial and temporal data per region. Within this paper, a methodology for spatio-temporal DER capacity potential considering land cover types and weather variation are presented using spatio-temporal data. Additionally, an application of empirical orthogonal functions (EOFs) and max-p unsupervised learning techniques is proposed for DER generation to identify zones of similar output power in space and time. A detailed case study for the example region of Kentucky, USA is completed with …
The Road Map For Sustainable Waste Management In The Federal Democratic Republic Of Ethiopia, Assegid Yimenu
The Road Map For Sustainable Waste Management In The Federal Democratic Republic Of Ethiopia, Assegid Yimenu
Civil Engineering Dissertations - Archive
Solid Waste Management (SWM) is a global issue from its social, environmental, and economic aspects. Poor SWM is one of the significant causes of resource degradation, environmental pollution, and public health problems. In this study, households’ solid waste generation and characterization were determined for selected cities in Ethiopia. Quantitative and qualitative study methods were applied to collect primary and secondary data to assess the household’s MSW generation rate and characterize the waste type's physical composition. The households’ daily MSW generation rates in Bole and Kirkos sub-cities, Addis Ababa, were found to be 0.54 and 0.26 Kg/capita/day, respectively, and the average …
Combined Behavioral And Engineering Approach To Preventing Highway Fatalities, Benjamin Blandford, Reginald Souleyrette, Caitlin N. Pope, Tony Fields, Erin Lammers-Staats
Combined Behavioral And Engineering Approach To Preventing Highway Fatalities, Benjamin Blandford, Reginald Souleyrette, Caitlin N. Pope, Tony Fields, Erin Lammers-Staats
Kentucky Transportation Center Research Report
Traditional, single-discipline highway safety approaches can be augmented through multidisciplinary approaches that consider both engineering and behavioral interventions (e.g., education, enforcement, public outreach campaigns). Leveraging a systems-based conceptual framework of roadway safety, multiple forms of statistical and geospatial analysis, and SPF modeling and network screening, this report proposes and demonstrates methods for unpacking the influence of behavioral-related factors on crash occurrences and outcomes. The primary focus is on behaviors targeted in the Strategic Highway Safety Plan — aggressive driving, distracted driving, impaired driving, and driving without proper restraint (i.e., seatbelts). Based on application of these methods, the report highlights areas …
The Extent Of Drone Education Being Taught In Asc Schools To 4-Year Construction Students, Cheran Teja Dumpati
The Extent Of Drone Education Being Taught In Asc Schools To 4-Year Construction Students, Cheran Teja Dumpati
All Theses
The technology of Unmanned Aircraft Systems (UAS) is growing rapidly in many fields and has become one of the skills in demand in the industry. Universities are one of the primary sources of teaching drone technology with a career-oriented approach. The goal of this study is to investigate the content of the drone curriculum being taught in Associated Schools of Construction (ASC) schools. This includes the topics covered, practical training offered, and the key deliverables taught. This information serves as a foundation for the schools that are looking forward to start drone courses in their department. The research found that …
Development Of Predictive Rockfall Runout Maps Based On Calibrated Rockfall Models, Olivia Tabor
Development Of Predictive Rockfall Runout Maps Based On Calibrated Rockfall Models, Olivia Tabor
Boise State University Theses and Dissertations
Cliffs formed in columnar jointed basalt have the proper geometry and discontinuities to initiate rockfall events. There are a number of locations in Boise, Idaho that may experience rockfall events from columnar jointed basalt cliffs. Publicly available LiDAR data coupled with site reconnaissance activities were used to develop calibrated two-dimensional rockfall models at a study site in southeast Boise. Photogrammetry was used to determine the volume of seven calibration boulders. The study site, located on Whitney Terrace, consists of a columnar jointed basalt cliff followed by a slope with a subdivision at the toe of the slope.
The two common …
How Active Rainwater Harvesting May Help Reduce Nuisance Flooding: Flood Analysis And Social Barriers To Adoption, Isabel Lopez
How Active Rainwater Harvesting May Help Reduce Nuisance Flooding: Flood Analysis And Social Barriers To Adoption, Isabel Lopez
Open Access Theses & Dissertations
As urbanization continues to expand, fewer pervious surfaces are available to help reduce stormwater runoff from rainfall. The impacts of urbanization are becoming evident through sunny day flooding - flooding that occurs in areas not designated by the Federal Emergency Management Agency (FEMA) as flood zones. Nevertheless, water accumulates in low-lying areas and compromises street intersections and other parts of neighborhoods. Some methods can help alleviate the impacts of unexpected heavy rains, such as passive and active rainwater harvesting. As a pilot study, in a selected area in the northeast of El Paso, the level of adoption (e.g., what percentage …