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Articles 46591 - 46620 of 196718
Full-Text Articles in Engineering
Life Cycle Assessment Of Bioplastics And Food Waste Disposal Methods, Shakira R. Hobbs, Tyler M. Harris, William J. Barr, Amy E. Landis
Life Cycle Assessment Of Bioplastics And Food Waste Disposal Methods, Shakira R. Hobbs, Tyler M. Harris, William J. Barr, Amy E. Landis
Civil Engineering Faculty Publications
The environmental impacts of five waste management scenarios for polylactic acid (PLA)-based bioplastics and food waste were quantified using life cycle assessment. Laboratory experiments have demonstrated the potential for a pretreatment process to accelerate the degradation of bioplastics and were modeled in two of the five scenarios assessed. The five scenarios analyzed in this study were: (1a) Anaerobic digestion (1b) Anaerobic digestion with pretreatment; (2a) Compost; (2a) Compost with pretreatment; (3) Landfill. Results suggested that food waste and pretreated bioplastics disposed of with an anaerobic digester offers life cycle and environmental net total benefits (environmental advantages/offsets) in several areas: ecotoxicity …
Advanced Research And Development Of Face Masks And Respirators Pre And Post The Coronavirus Disease 2019 (Covid-19) Pandemic: A Critical Review, Ebuka A. Ogbuoji, Amr M. Zaky, Isabel C. Escobar
Advanced Research And Development Of Face Masks And Respirators Pre And Post The Coronavirus Disease 2019 (Covid-19) Pandemic: A Critical Review, Ebuka A. Ogbuoji, Amr M. Zaky, Isabel C. Escobar
Chemical and Materials Engineering Faculty Publications
The outbreak of the COVID-19 pandemic, in 2020, has accelerated the need for personal protective equipment (PPE) masks as one of the methods to reduce and/or eliminate transmission of the coronavirus across communities. Despite the availability of different coronavirus vaccines, it is still recommended by the Center of Disease Control and Prevention (CDC), World Health Organization (WHO), and local authorities to apply public safety measures including maintaining social distancing and wearing face masks. This includes individuals who have been fully vaccinated. Remarkable increase in scientific studies, along with manufacturing-related research and development investigations, have been performed in an attempt to …
Network Intrusion Detection System Using Deep Learning, Lirim Ashiku, Cihan H. Dagli
Network Intrusion Detection System Using Deep Learning, Lirim Ashiku, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
The widespread use of interconnectivity and interoperability of computing systems have become an indispensable necessity to enhance our daily activities. Simultaneously, it opens a path to exploitable vulnerabilities that go well beyond human control capability. The vulnerabilities deem cyber-security mechanisms essential to assume communication exchange. Secure communication requires security measures to combat the threats and needs advancements to security measures that counter evolving security threats. This paper proposes the use of deep learning architectures to develop an adaptive and resilient network intrusion detection system (IDS) to detect and classify network attacks. The emphasis is how deep learning or deep neural …
Sos Explorer Application With Fuzzy-Genetic Algorithms To Assess An Enterprise Architecture -- A Healthcare Case Study, Josh Goldschmid, Vinayaka Gude, Steven Corns
Sos Explorer Application With Fuzzy-Genetic Algorithms To Assess An Enterprise Architecture -- A Healthcare Case Study, Josh Goldschmid, Vinayaka Gude, Steven Corns
Engineering Management and Systems Engineering Faculty Research & Creative Works
Kevin Dooley (1997), defined Complex Adaptive System (CAS) as a group of semi-autonomous agents who interact in interdependent ways to produce system-wide patterns, such that those patterns then influence behavior of the agents. A healthcare system is considered as a Complex Adaptive System of system (SoS) with agents composed of strategies, people, process, and technology. Healthcare systems are fragmented with independent systems and information. The enterprise architecture (EA) aims to address these fragmentations by creating boundaries around the business strategy and key performance attributes that drive integration across multiple systems of processes, people, and technology. This paper uses a SoS …
Fabrication And Characterization Of Non-Equilibrium Plasma-Treated Pvdf Nanofiber Membrane-Based Sensors, Quazi Nahida Sultana, Mujibur Khan, Rajib Mahamud, Mohammadsadegh Saadatzi, Papia Sultana, Tanvir Farouk, Rafael Quirino, Sourav Banerjee
Fabrication And Characterization Of Non-Equilibrium Plasma-Treated Pvdf Nanofiber Membrane-Based Sensors, Quazi Nahida Sultana, Mujibur Khan, Rajib Mahamud, Mohammadsadegh Saadatzi, Papia Sultana, Tanvir Farouk, Rafael Quirino, Sourav Banerjee
Faculty Publications
The effect of a self-pulsing non-equilibrium plasma discharge on piezoelectric PVDF nanofiber membrane was investigated. The plasma discharge was generated in air with a DC power source, with a discharge current of 0.012 mA, a nominal interelectrode separation of 1 mm, and discharge voltage of ~970 V. In a continuous fabrication process, the electrospinning method was used to generate thin nanofiber membrane with a flow rate of 0.7–1 mL h−1 and 25–27 kV voltage to obtain the nanofiber with high sensitivity and a higher degree of alignment and uniformity over a larger area. Plasma treatment was applied on both single …
Flying Free: A Research Overview Of Deep Learning In Drone Navigation Autonomy, Thomas Lee, Susan Mckeever, Jane Courtney
Flying Free: A Research Overview Of Deep Learning In Drone Navigation Autonomy, Thomas Lee, Susan Mckeever, Jane Courtney
Articles
With the rise of Deep Learning approaches in computer vision applications, significant strides have been made towards vehicular autonomy. Research activity in autonomous drone navigation has increased rapidly in the past five years, and drones are moving fast towards the ultimate goal of near-complete autonomy. However, while much work in the area focuses on specific tasks in drone navigation, the contribution to the overall goal of autonomy is often not assessed, and a comprehensive overview is needed. In this work, a taxonomy of drone navigation autonomy is established by mapping the definitions of vehicular autonomy levels, as defined by the …
Development Of Catalytic Combustion And Co2 Capture And Conversion Technology, Zhibin Yang, Ze Lei, Xingyu Xiong, Yiqian Jin, Kui Jiao, Fanglin Chen, Suping Peng
Development Of Catalytic Combustion And Co2 Capture And Conversion Technology, Zhibin Yang, Ze Lei, Xingyu Xiong, Yiqian Jin, Kui Jiao, Fanglin Chen, Suping Peng
Faculty Publications
Changes are needed to improve the efficiency and lower the CO2 emissions of traditional coal-fired power generation, which is the main source of global CO2 emissions. The integrated gasification fuel cell (IGFC) process, which combines coal gasification and high-temperature fuel cells, was proposed in 2017 to improve the efficiency of coal-based power generation and reduce CO2 emissions. Supported by the National Key R&D Program of China, the IGFC for nearzero CO2 emissions program was enacted with the goal of achieving near-zero CO2 emissions based on (1) catalytic combustion of the flue gas from solid oxide …
A Quantitative Validation Of Multi-Modal Image Fusion And Segmentation For Object Detection And Tracking, Nicholas Lahaye, Michael J. Garay, Brian D. Bue, Hesham El-Askary, Erik Linstead
A Quantitative Validation Of Multi-Modal Image Fusion And Segmentation For Object Detection And Tracking, Nicholas Lahaye, Michael J. Garay, Brian D. Bue, Hesham El-Askary, Erik Linstead
Mathematics, Physics, and Computer Science Faculty Articles and Research
In previous works, we have shown the efficacy of using Deep Belief Networks, paired with clustering, to identify distinct classes of objects within remotely sensed data via cluster analysis and qualitative analysis of the output data in comparison with reference data. In this paper, we quantitatively validate the methodology against datasets currently being generated and used within the remote sensing community, as well as show the capabilities and benefits of the data fusion methodologies used. The experiments run take the output of our unsupervised fusion and segmentation methodology and map them to various labeled datasets at different levels of global …
Design Of A Pneumatic Soft Robotic Actuator Using Model-Based Optimization, Mahsa Raeisinezhad
Design Of A Pneumatic Soft Robotic Actuator Using Model-Based Optimization, Mahsa Raeisinezhad
Theses and Dissertations
In this thesis, the design and optimization process of a novel soft intelligent modular pad (IntelliPad) for the purpose of pressure injury prevention is presented. The structure of the IntelliPad consists of multiple individual multi-chamber soft pneumatic-driven actuators that use pressurized air and vacuum. Each actuator is able to provide both vertical and horizontal motions that can be controlled independently. An analytical modeling approach using multiple cantilever beams and virtual springs connected in a closed formed structure was developed to analyze the mechanical performance of the actuator. The analytical approach was validated by a finite element analysis. For optimizing the …
Investigation Of Single, Binary, And Ternary Metal Oxides Of Iridium, Rhodium, And Palladium For Neural Interfacing Applications, Gregory Vincent Taylor
Investigation Of Single, Binary, And Ternary Metal Oxides Of Iridium, Rhodium, And Palladium For Neural Interfacing Applications, Gregory Vincent Taylor
Theses and Dissertations
In this dissertation, thin film single, binary, and ternary metal oxides of iridium (Ir), ruthenium (Ru), rhodium (Rh), and palladium (Pd) were synthesized for use as electrode/microelectrode coatings for neural interfacing applications using DC reactive magnetron sputtering. Synthesis conditions which enhanced the electrochemical properties of films as measured by cyclic voltammetry and electrochemical impedance spectroscopy in a phosphate buffered saline solution of the single metal oxides were identified to be 30 mTorr working pressure, 20% oxygen partial pressure, and cathode power densities ≤ 4.9 W/cm2. These parameters were then used to develop the binary and ternary metal oxide …
Toward An Intelligent Driving Behavior Adjustment Based On Legal Personalized Policies Within The Context Of Connected Vehicles, Fatma Outay, Nafaa Jabeur, Hedi Haddad, Zied Bouyahia, Hana Gharrad
Toward An Intelligent Driving Behavior Adjustment Based On Legal Personalized Policies Within The Context Of Connected Vehicles, Fatma Outay, Nafaa Jabeur, Hedi Haddad, Zied Bouyahia, Hana Gharrad
All Works
The advent of Connected Vehicles (CVs) is creating new opportunities within the transportation sector. It is, indeed, expected to improve road traffic safety, enhance mobility, reduce fuel consumption and gas emissions, as well as foster economic growth via investments and jobs. However, to motivate the deployment of CVs and maximize their related benefits, policymakers must create appropriate neutral legal frameworks. These frameworks should promote the innovation of current road infrastructures, support cooperation and interoperability between transportation systems, and encourage fair competition between companies while upholding consumer privacy as well as data protection. We argue that policymakers should also support innovative …
A New Method Of Measuring Flow Stress For Improved Modeling Of Friction Stir Welding, David John Prymak
A New Method Of Measuring Flow Stress For Improved Modeling Of Friction Stir Welding, David John Prymak
Theses and Dissertations
Deficiencies in friction stir welding (FSW) numerical modelling are identified. Applicability of flow stress data derived from hot compression, hot torsion, and split Hopkinson bar testing methods is assessed. A new method of measuring flow stresses in the stir zone of a friction stir welding tool is developed. This test utilizes a non-consumable flat-faced cylindrical tool of different geometries that induces a vertical and rotational load on the material of interest. A constant vertical load and rpm value is used for each test yielding the resulting motor torque and temperature generation to define the material response. Experimental samples are cross-sectioned, …
Zero-Energy Tuning Of Silicon Microring Resonators Using 3d Printed Microfluidics And Two-Photon Absorption Induced Photoelectrochemical Etching Of Silicon, Kevin Eugene Larson
Zero-Energy Tuning Of Silicon Microring Resonators Using 3d Printed Microfluidics And Two-Photon Absorption Induced Photoelectrochemical Etching Of Silicon, Kevin Eugene Larson
Theses and Dissertations
This thesis presents a novel method of modulating silicon photonic circuits using 3D printed microfluidic devices. The fluids that pass through the microfluidic device interact directly with the silicon waveguides. This method changes the refractive index of the waveguide cladding, thus changing the effective index of the system. Through using this technique we demonstrate the shift in resonant wavelength by a full free spectral range (FSR) by increasing the concentration of the salt water in the microfluidic device from 0% to 10%. On a 60 μm microring resonator, this equals a resonant wavelength shift of 1.514 nm when the index …
Life Cycle Climate Performance Assessment For R1234yf As A Low Gwp Drop-In Alternative For R134a In Domestic Refrigerators, Mohamed Ragab Senosey Khaled Zain
Life Cycle Climate Performance Assessment For R1234yf As A Low Gwp Drop-In Alternative For R134a In Domestic Refrigerators, Mohamed Ragab Senosey Khaled Zain
Theses and Dissertations
Aligning with the global movements towards mitigating CO2 emissions and regulations to phase out HFC refrigerants, many low GWP refrigerants are being tested and proposed as fourth-generation refrigerants. R1234yf is a refrigerant with a GWP of less than one and has a high potential to replace R134a, which has a GWP of 1300, and it is the most commonly used refrigerant in domestic refrigerators. In this study, an energy performance evaluation and a life cycle climate performance assessment for R1234yf were conducted and compared to those of R134a based on a baseline domestic defrost refrigerators. Four different charges of R1234yf …
Fiber Optic Sensor Based Corrosion Assessment In Reinforced Concrete Members, Genda Chen
Fiber Optic Sensor Based Corrosion Assessment In Reinforced Concrete Members, Genda Chen
INSPIRE Archived Webinars
In this 50-minute lecture, the fundamental concepts of fiber optic sensors for both distributed and point corrosion measurements are reviewed. For the distributed monitoring of a line bridge component such as steel reinforced girders, Brillouin scattering and fiber Bragg gratings (FBG) can be coupled to measure both temperature and radial strain as an indirect indicator of corrosion process. For the point monitoring of steel structures, long period fiber gratings (LPFG) are specially designed for a direct measurement of mass loss or the loss in cross sectional area of the component. In particular, a Fe-C coated LPFG sensor is introduced for …
More Than Mechanisms: Shifting Ideologies For Asset-Based Learning In Engineering Education, Brian E. Gravel, Eli Tucker-Raymond, Aditi Wagh, Susan Klimczak, Naeem Wilson
More Than Mechanisms: Shifting Ideologies For Asset-Based Learning In Engineering Education, Brian E. Gravel, Eli Tucker-Raymond, Aditi Wagh, Susan Klimczak, Naeem Wilson
Journal of Pre-College Engineering Education Research (J-PEER)
Learning spaces, the practices in which people engage, and the representations they use are ideological. Ideologies are coherent constellations of values, beliefs, and practices that impose order on how disciplines like engineering operate. Historically, engineering spaces have been dominated by a relatively technocratic, rationalistic, and exclusionary ideology, but more recent attention to asset-based approaches to engineering education offers transformative promise. Asset-based ideologies can reshape images of legitimized engineering practice, recasting engineering education to disrupt dominant exclusionary ideologies. This paper describes an assets-based learning space, SETC, that recaptures the imagination of engineering for technological and social change. Drawing from extensive ethnographic …
Optimization For Variable Height Wind Farm Layout Model, Bin Xu, Jianming Zhu, Junzhe Wen, Shanshan Lin, Yunkai Zhao, Jin Qi, Yu Xue, Sichong Qin
Optimization For Variable Height Wind Farm Layout Model, Bin Xu, Jianming Zhu, Junzhe Wen, Shanshan Lin, Yunkai Zhao, Jin Qi, Yu Xue, Sichong Qin
Student Published Works
The optimization of wind farm layouts is very important for the effective utilization of wind resources. A fixed wind turbine hub height in the layout of wind farms leads to a low wind energy utilization and a higher LCOE (levelized cost of electricity). WOMH (Wind Farm Layout Optimization Model Considering Multiple Hub Heights) is proposed in this paper to tackle the above problem. This model is different from the traditional fixed hub height model, as it uses a variable height wind turbine. In WOMH, the Jensen wake and Weibull distribution are used to describe the wake effect on the …
Teaching Sustainable Design Through Simultaneous Evaluation Of Economics And Environmental Impacts, Kirti M. Yenkie, J. D. Chea, E. A. Aboagye, Mariano J. Savelski, C. Stewart Slater
Teaching Sustainable Design Through Simultaneous Evaluation Of Economics And Environmental Impacts, Kirti M. Yenkie, J. D. Chea, E. A. Aboagye, Mariano J. Savelski, C. Stewart Slater
Henry M. Rowan College of Engineering Departmental Research
The ever-increasing human population and industrial growth have posed a considerable burden on existing resources and have led to an increase in environmental pollution and climate change. The Engineering Clinics offered at the Henry M. Rowan College of Engineering at Rowan University is the hallmark of our program that enables our undergraduate students to actively participate in solving real-world problems through collaborative activities. Our graduate students get an opportunity to engage in stakeholder (i.e., industries, federal and regional funding agencies) interactions and student mentoring in conjunction with developing their research ability. Thus, through these synergistic undergraduate-graduate-faculty- stakeholder collaborations this work …
The Revenue Operations (Revops) Framework: A Qualitative Study Of Industry Practitioners., Oliviero Mottola
The Revenue Operations (Revops) Framework: A Qualitative Study Of Industry Practitioners., Oliviero Mottola
Dissertations and Theses
In recent years Revenue Operations or RevOps has emerged in professional circles as a new approach to manage Sales, Marketing and Customer Success teams in the context of b2b sales. In practitioner circles, RevOps definitions range from the increased collaboration of the three job functions to an all-out creation of job function within organizations. While the subject of interdepartmental alignment has been covered extensively in academia (albeit not exhaustively), RevOps as a term and set of practices has received no attention and industry practitioners struggle to find a unified set of best practices that isn’t coming from organizations trying to …
High-Speed Image Classification For Resource-Limited Systems Using Binary Values, Taylor Scott Simons
High-Speed Image Classification For Resource-Limited Systems Using Binary Values, Taylor Scott Simons
Theses and Dissertations
Image classification is a memory- and compute-intensive task. It is difficult to implement high-speed image classification algorithms on resource-limited systems like FPGAs and embedded computers. Most image classification algorithms require many fixed- and/or floating-point operations and values. In this work, we explore the use of binary values to reduce the memory and compute requirements of image classification algorithms. Our objective was to implement these algorithms on resource-limited systems while maintaining comparable accuracy and high speeds. By implementing high-speed image classification algorithms on resource-limited systems like embedded computers, FPGAs, and ASICs, automated visual inspection can be performed on small low-powered systems. …
Solar Disinfection Of Turbid Hygiene Waters In Lexington, Ky, Usa, Atena Amirsoleimani, Gail M. Brion
Solar Disinfection Of Turbid Hygiene Waters In Lexington, Ky, Usa, Atena Amirsoleimani, Gail M. Brion
Civil Engineering Faculty Publications
Solar disinfection (SODIS) could be a key to providing a clean, hygiene water for birthing uses, but the recommended climate zone is limited, the microbial indicators are related to gastrointestinal illness and not wound infections. SODIS feasibility was investigated to remove Escherichia coli from turbid water at temperatures less than 50 °C in Lexington, KY. Increasing turbidity from 0 to 200 NTU decreased E. coli inactivation from 5 to 1 log. With the same experimental protocol, more than 4-log inactivation of Staphylococcus aureus and Staphylococcus epidermidis (common human-skin microorganisms related to serious post-partum infections of both mother and child) was …
Multi-Session Multicasting For 360-Degree Video Multicast Over Ofdma Systems, Jounsup Park
Multi-Session Multicasting For 360-Degree Video Multicast Over Ofdma Systems, Jounsup Park
Electrical Engineering Faculty Publications and Presentations
360-degree video content provides a rich and immersive multimedia experience to viewers by allowing viewers to the video from any angle. However, 360-degree videos require much higher bandwidth to be delivered over mobile networks compared to conventional videos. Multicasting of the videos is one of the solutions to efficiently utilize the limited bandwidth since many viewers share the wireless spectrum resource for popular videos, such as sports events or musical concerts. LTE eMBMS assigns the videos to the video sessions, and multiple viewers can subscribe to the same video allocated to the video sessions. Moreover, the tiling of the 360-degree …
4-H Engineering Design Challenge Program: Engaging Youth In Stem Learning, R.Michael Compton, Rebecca L. Meyer, Anne Stevenson, Somongkol Teng
4-H Engineering Design Challenge Program: Engaging Youth In Stem Learning, R.Michael Compton, Rebecca L. Meyer, Anne Stevenson, Somongkol Teng
Journal of Extension
The University of Minnesota 4-H Engineering Design Challenge program is an experiential learning opportunity in which youth work with adult volunteers to create Rube Goldberg influenced machines to address real-world issues. The program components are designed to help youth develop STEM work skills using an Engineering Design Process, increase interest in STEM content knowledge, and explore STEM career interests/aspirations. Evaluation indicates a majority of participants learn the engineering design process, principles of mechanical engineering, teamwork, public speaking, and problem solving. Programmatic outcomes and supports provide for the successful replication, adaptation, and implementation in both formal and non-formal learning environments.
Artificial Intelligence (Ai) And Augmented Reality (Ar): Disambiguated In The Telemedicine / Telehealth Sphere, Sharon L. Burton
Artificial Intelligence (Ai) And Augmented Reality (Ar): Disambiguated In The Telemedicine / Telehealth Sphere, Sharon L. Burton
Publications
The world is navigating through unfamiliar and incomprehensible times – COVID-19, international economic crisis, and crumbling healthcare systems. The United States (US) healthcare industry is grappling with an increased workload and advancing digitization technological concerns. The failure of organizations to offer suitable cybersecurity controls within the critical infrastructure leads to advanced persistent threat (APT) that could have incapacitating effects on organizations. A keen understanding of cybersecurity is vital for leaders and the need is referenced in US policy that advances a national unity of effort to strengthen and maintain secure, functioning, and resilient critical infrastructure. Akin to the Presidential Policy …
Do Secondary Cyclones Increase The Category Scale Of Atmospheric Rivers?, Edgar Sanchez Fausto
Do Secondary Cyclones Increase The Category Scale Of Atmospheric Rivers?, Edgar Sanchez Fausto
University Honors Theses
Atmospheric rivers (ARs) play a crucial role in delivering precipitation worldwide. This makes them an important phenomenon for water resource specialists to study. One such interest is to understand what mechanisms make ARs produce significant rainfall and associated hazards such as flooding. One possible mechanism is that AR duration or intensity may increase when it interacts with a secondary cyclone, either of which can increase the AR category scale. The purpose of this study is to determine whether AR and secondary cyclone interactions increase the category scale ARs. Out of 52 AR events analyzed, 32 events contained at least one …
Behavior Of Unreinforced Lightweight Cellular Concrete Backfill For Reinforced Concrete Retaining Walls, Ryan Jeffrey Wilkinson
Behavior Of Unreinforced Lightweight Cellular Concrete Backfill For Reinforced Concrete Retaining Walls, Ryan Jeffrey Wilkinson
Theses and Dissertations
Lightweight cellular concrete (LCC) is a mixture of cement, water and foam, with a density less than 50 pcf. This material is being used increasingly often in a variety of construction applications due to its self-leveling, self-compacting, and self-consolidating properties. LCC may be used as a backfill or structural fill in areas where traditional granular backfill might normally be used. This material may be especially advantageous in areas where the underlying soil may not support the weight of a raised earth embankment. Testing on the behavior of LCC when used as backfill behind retaining walls is relatively limited. The effects …
Environmental, Health And Safety Intricacies Of Artisanal Mining In The Gold-Rich Landscapes Of Karamoja, North-Eastern Uganda, Eria Serwajja, Paul Isolo Mukwaya
Environmental, Health And Safety Intricacies Of Artisanal Mining In The Gold-Rich Landscapes Of Karamoja, North-Eastern Uganda, Eria Serwajja, Paul Isolo Mukwaya
Journal of Sustainable Mining
Artisanal small-scale gold mining presents opportunities for Uganda’s rural poor. However, it also poses serious environmental, health and safety challenges. A suite of data collection methods including interviews, focus groups discussions, water and soils sampling were used to examine the perceptions of miners on the status, prevalence and extent of mercury use in artisanal gold mining, mercury transit routes and toxicity levels of soils and water in Karamoja sub-region. It also explores the health, safety and environmental implications of artisanal small-scale gold mining in the sub-region. The findings show that trade and access to mercury is widespread; although trade in, …
Real Work With Real Consequences: Enlisting Community Energy Engineering As An Approach To Envisioning Engineering In Context, Michelle E. Jordan, Steve Zuiker, Wendy Wakefield, Mia Delarosa
Real Work With Real Consequences: Enlisting Community Energy Engineering As An Approach To Envisioning Engineering In Context, Michelle E. Jordan, Steve Zuiker, Wendy Wakefield, Mia Delarosa
Journal of Pre-College Engineering Education Research (J-PEER)
This study describes an illustrative case study from a year-round program that positions middle and high school youth to explore the social value of energy systems in their homes, schools, and neighborhoods. Designed to center existing youth assets, interests and values, Community Energy Engineering (CEE) frames engineering as a tool that students can enlist in order to understand and interrogate their local socio-energy system while also acting to transform it. CEE partners with Title 1 schools in Latino/a neighborhoods in the U.S. southwest. CEE situates youth community-based solar energy innovation projects as consequential, evolving in and with historically contingent engineering …
Making Makers: Tracing Stem Identity In Rural Communities, Jessie Nixon, Andy Stoiber, Erica Halverson, Michael Dando
Making Makers: Tracing Stem Identity In Rural Communities, Jessie Nixon, Andy Stoiber, Erica Halverson, Michael Dando
Journal of Pre-College Engineering Education Research (J-PEER)
In this article, we describe efforts to reduce barriers of entry to pre-college engineering in a rural community by training local teens to become maker-mentors and staff a mobile makerspace in their community. We bring a communities of practice frame to our inquiry, focusing on inbound and peripheral learning and identity trajectories as a mechanism for representing the maker-mentor experience. Through a longitudinal case study, we traced the individual trajectories of five maker-mentors over two years. We found a collection of interrelated factors present in those students who maintained inbound trajectories and those who remained on the periphery. Our research …
Comparison Of The Residential Provisions Of The 7th Edition (2020) Florida Building Code, Energy Conservation With The 2021 Iecc, Florida Solar Energy Center, Jeffrey Sonne
Comparison Of The Residential Provisions Of The 7th Edition (2020) Florida Building Code, Energy Conservation With The 2021 Iecc, Florida Solar Energy Center, Jeffrey Sonne
FSEC Energy Research Center®
This report provides a comparison between the 7th Edition (2020) Florida Building Code, Energy Conservation (FBC-EC) and 2021 International Energy Conservation Code (IECC), based on approved 2018 to 2021 IECC changes included in the International Code Council's Complete Revision History to the 2021 I-Codes document. The first part of this study involved developing code change listings based on the Revision History document that identify changes that have potential energy and cost impacts. This second part of the study provides a stringency evaluation and cost-benefit analysis for those changes that impact energy use, to provide guidance for the upcoming 2020 FBC-EC …