2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Wildfire Detection Using Vision Transformer with the Wildfire Dataset Gowtham Raj Vuppari[1], Navarun Gupta[2], Ahmed El-Sayed[2], Xingguo Xiong[2] [1] Department of Computer Science and Engineering, University of Bridgeport, 126 Park Avenue, Bridgeport, CT 06604, USA. [2] Department of Electrical and Computer Engineering, University of Bridgeport, 126 Park Avenue, Bridgeport, CT 06604
sensing refers to means of obtaining information about a distant object withouthaving close examination or physical contact using satellite imagery or aerial photographs.Geovisualization studies how the combination of technologies such as image processing,computer graphics, animation, simulation, multimedia, and virtual reality can help presentinformation in a new way so that patterns can be found, greater understanding can bedeveloped, and problems can be solved.The most widely and commonly used ones are GIS and GPS systems. According to thedefinition from ESRI4, one of the leading companies in geographic information systemmodeling and mapping software and technology, GIS is a system of software, hardwareand data, and people to help manipulate
experimental design pre and postsurveys for the students (Appendix I). We also solicited follow up interviews with a few studentsand faculty. The surveys and interviews were conducted by the Institutional Research and ProgramAssessment at Rose-Hulman, and following internal review board requirements, informed consentwas obtained from each participant prior to participation.Perception Surveys for StudentsA number of surveys have been developed to assess changes in student attitudes and skillsassociated with UR and have been administered either immediately after research experiences [3],[14] or at a later time to program alumni [9], [15]. For this study, we drew from a set of previouslypublished self-rating questions [14] to develop a survey, which
representations include computer-based animations, simulations, and virtual reality [7], [8], [9], [10], [11], [12]. An important variation on abstract representations is the use of sketching [13], along with the use of technology to provide immediate feedback on hand sketching [14]. Technology also offers the possibility of a blend of tangible and virtual representations. Ha and https://docs.google.com/document/d/1UEM9zxWW8ExgH0qih3nliOGcoWtKovMoiUdc7ooMgoI/edit 1/94/11/2019 A Study of Augmented Reality 2019-Draft for final - Google Docs Fang [4] describe "Virtual and physical manipulatives" in which physical objects can have a
Engineering, a required foundation course forthe College of Engineering. The results of the analysis are summarized in Table I.Table I. SWOT analysis of the first year engineering experience Strengths • The leadership in the College of Engineering is highly committed to undergraduate education. • The expertise of faculty in areas that most interest the current generation of students, including environmental issues (alternative energy, water conservation and purification, etc.), robotics, biomedical engineering and urban infrastructure renewal, is extensive. • A new undergraduate program in Biomedical Engineering has been established. • A well-developed hands-on design project in the foundation course helps students develop an
campus center for e-teamprojects. Figure 9 shows a computer rendering from a student generated Alias/Wavefrontcomputer animation of the renovated building. Page 6.311.11 Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition Copyright 2001, American Society for Engineering Education Figure 9. Computer rendering of the third floor of the campus center for e-team projectProgram EvaluationIn keeping with the methods and procedures of the Department of Labor and in preparation forABET accreditation, three evaluation activities will be conducted to demonstrate that
Page 8.158.1literature. In this paper we focus on three major categories of active learning: (i) hands-on Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright 2003, American Society for Engineering Educationexperiences; (ii) interactive visually-oriented multimedia; and (iii) group learning processes. Theengineering education literature definitively shows that these active learning approaches enhancethe learning process tremendously when correctly implemented. The basis for implementing suchactive learning approaches is found in several established learning models.2. Learning ModelsThe pedagogical foundation of our active learning approach to engineering
Farnsworth, Managing Director of NCN (nanoHUB.org)RE: nanoHUB.org Design Project DescriptionLet me start by telling you a little about nanoHUB.org: “nanoHUB.org is arguably the largest online user facility for nanoscale engineering and science modeling and simulations in the world. It is a project that is funded by the US National Science Foundation and serves over 240,000 annually. Our users are researchers from the industry, researchers, faculty members at universities worldwide, and most importantly students – at the undergraduate and graduate levels. nanoHUB.org is the place for computational nanotechnology research, education, and collaboration. nanoHUB hosts a rapidly growing collection of
education includes: PhD, Marine Engineering, 1986; MS, Ocean Engineering, 1973; MS, Shipping and Shipbuilding Management, 1973; BS, Naval Architecture and Marine Engineering, 1971; all from MIT.Owen Hughes, Virginia Tech Dr. Owen Hughes received his B.S. and M.S. in Naval Architecture from M.I.T. and his Ph.D. in Naval Architecture from UNSW in Sydney, Australia. He is a Professor in the Department of Aerospace and Ocean Engineering at Virginia Tech. He is best known for his development of a computer-based "first principles" method for the structural design of ships and other thin-wall structures, which combines finite element analysis, structural failure analysis and optimization. He has held
University. She earned her B.S. in Software Engineering from Makerere University and her M.S. in Information Technology, with a focus on Software Engineering & Data Science, from Carnegie Mellon University. Her research focuses on reflective practices and outcomes in scaffolded computational modeling and simulation engineering projects, alongside the integration of data and ethical reasoning in engineering, and computing education within the African context. ©American Society for Engineering Education, 2024 Developing the Design Reasoning in Data Life-cycle Ethical Management FrameworkAbstractHuman-designed systems are increasingly leveraged by data-driven methods and
engineering undergraduates, I concludedthat reverse engineering of specific devices or designs would be too narrow to cater to thediverse interests of the aerospace freshman class,The choice of conceptual design as an integrative tool in our curriculum is based on theexperience of listening to Georgia Tech Aerospace Engineering students and alumni for manyyears. In the traditional curriculum, the Capstone Design course in the senior year is cited bystudents for providing perspective on the various disciplines of aerospace engineering. The firstsix weeks of the 2-course Capstone Design sequence are spent on conceptual design. Hence itwas argued that covering some of these concepts in the first year would have a dual benefit. Thestudents would obtain
teaching package that can be used bypeople with little computer knowledge. The system then was validated through instructions inmechanical and manufacturing engineering courses. Stratos et al. [51] proposed a novel VR-basedlearning framework for attracting students in secondary education to manufacturing. Through avirtual environment, students can assemble a series of critical components of a vehicle. Rogers etal. [52] reported findings in assessing students’ learning in operating a computerized numericalcontrol (CNC) milling machine in a virtual, game-like environment. The virtual environment wasdeveloped based on two new engines including the Integrated Virtual Environment for Synthesisand Simulation (IVRESS) and the Learning Environment Agent
students’ performance on Lawson’s test on scientific reasoning and compared the results of the test to several demographic variables. 9. Creating a Virtual Practice Room: Augmenting Reality with Sound – In this project, students accurately recreated the sound of a performance space using a computer simulation and compared the derived acoustic parameters to those of the original concert space. 10. Analyzing Bacteria for Resistance to Antibiotics – Students collected environmental samples from a variety of locations. The identified species were then identified and tested for resistance to commonly used antibiotics. 11. Developing a Flexible Laser-Induced Graphene
intake of the course. Studies indicate that smaller group sizes(less than 4) lack the diversity and varied expertise for collective decision making and largergroups (more than 6) do not ensure participation of all group members 4 Considering this, it wasdecided to limit the number of members to a maximum of 6 in each pod. The lab is equippedwith sophisticated computing systems to handle modeling and simulation exercises, LCDscreens, white boards and projectors with the capability of transforming any flat surface to aninteractive work surface. The main controls are handled by an instructor station which functionsas the centralized server, creating a local network for the lab. Sophisticated switching devicesallow the function of replicating the
sponsors for making this event a reality. US Didactic Educational Equipment & Training Systems L.A.B Corporation Pearson Publishing Liberty Mutual University of California, Riverside College of Engineering, University of Arizona College of Engineering and Computer Science, CSU Northridge College of Engineering and Computer Science, CSU Fullerton Cal Poly, San Luis Obispo School of Engineering and Technology, National University, San Diego Document Revision: 2 March 30, 2011 Proceedings of the 2011 PSW American Society for Engineering Education Zone IV Conference
1st-year graduate: Masters Mechanical engineering Technical Report7 2nd-year graduate Electrical engineering Thesis8 Elective graduate course Computer engineering Multimedia demo9 PhD / research level Civil & environmental Concept Engine enggA Open Materials engg. Simulation / appletB Open Business Computer program listingC Open Chemical engg. Openopen Open Open OpenThus any resource can, in principle
begin the exercise with a lecture that introduces Arduinos and the imperative, step-by-step nature of programming using the control of different LEDs in the strip as an example. Theythen apply a delay function and simple programming constructs such as if statements, loops, andvariables to create interesting animated light displays. After completing the exercise, studentscomplete a writing assignment in which they reflect on their experience.Including this exercise in the course section involving early computers provides students with avisceral feel for the scale of technological improvement by comparing the massive size and costof early vacuum tube computers with a small, inexpensive Arduino board, which for all itssimplicity offers vastly more
technological platforms. Focus on the students and their learning, emphasis on collaborative work, use of didactic techniques, enhance of the process by the use of digital technologies and use of computers favoring active student participation are goals that guide her work. As a member of Tecnol´ogicos faculty several awards had been granted by the institution on the acknowledgment of her teaching performance and research activities related to analyze and reflect on the educational process. She coauthored several textbooks for the learning of Pre-College Mathematics and Calculus. Recently the Textbook Series of Ap- plied Calculus has been published by Cengage Learning offering an innovative approach to the teaching and
, Sustainable resource recovery and zero waste approaches. Elsevier, 2019.[11] M. Finkbeiner, A. Inaba, R. Tan, K. Christiansen, and H.-J. Klüppel, "The new international standards for life cycle assessment: ISO 14040 and ISO 14044," The international journal of life cycle assessment, vol. 11, no. 2, pp. 80-85, 2006.[12] T.-L. B. Tseng et al., "Embedding Computer Simulation Based Classroom Activities to Enhance the Learning Experience for Manufacturing Systems," 2020.[13] T.-L. B. T. Aditya Akundi, Md Fashiar Rahman, and Eric D Smith, "Non-Destructive Testing (NDT) and Evaluation Using Ultrasonic Testing Equipment to EnhanceWorkforce Skillset for Modern Manufacturing," presented at the ASEE Annual Conferences
.Bibliography (note URLs and CD-ROM section follows normal reference section)1. Abbanat, R., Gramoll, K., Craig, J., “Use of Multimedia Development Software for Engineering Courseware,” Proceeding of the ASEE Annual Conference, pp. 1217-1222, 1994.2. ABET accreditation document for ABET 2000, www.abet.org/eac/eac2000.htm3. Aglan, H.A., Ali, S.F., “Hands-on Experiences: An Integral Part of Engineering Curriculum Reform,” Journal of Engineering Education, pp. 327-330, Oct., 1996.4. Armacost, R. L., Mullens, M. A., “Teaching Concurrent Engineering at the University of Central Florida,” Journal of Engineering Education, pp. 389-394, Oct., 1995.5. Behr, Richard A., “Computer Simulations Versus Real Experiments in a Portable
University. His area of expertise is in CAD/CAM, Computer Numerical Control (CNC) machining, rapid prototyping and qual- ity control. His research interest includes sensor based condition monitoring of CNC machining, machine tool accuracy characterization and enhancement, non-invasive surgical tool design, reverse engineering and bio materials.Prof. Tzu-Liang Bill Tseng, University of Texas, El Paso Dr. Tseng is a Professor and Chair of Industrial, Manufacturing and Systems Engineering at UTEP. His research focuses on the computational intelligence, data mining, bio- informatics and advanced manu- facturing. Dr. Tseng published in many refereed journals such as IEEE Transactions, IIE Transaction, Journal of
, and vibrations of a particle and of a rigid body 1-3.Prediction of student academic performance has long been regarded as an important researchtopic in many academic disciplines because it benefits both teaching and learning 4, 5. Instructorscan use the predicted results to identify the number of students who will perform well, averagely,or poorly in a class, so instructors can be proactive. For instance, if the predicted results showthat some students in the class would be “academically at risk,” instructors may consider takingcertain proactive measures to help those students achieve better in the course. Representativeexamples of proactive measures include adding recitation sessions, adding more office hours,using computer simulations and
Paper ID #12901Incorporating Multimedia Content to Enhance and Re-focus Course Deliveryfor a Multidisciplinary Engineering LaboratoryDr. Ventzislav Karaivanov, Colorado School of Mines • Ventzi Karaivanov, Teaching Associate Professor, PhD, Department of Mechanical Engineering, Col- orado School of Mines. Education • PhD – Mechanical Engineering, Swanson School of Engineering at University of Pittsburgh, 2009. ”Life prediction modeling of thermal barrier coated turbine airfoils” Teaching and Professional societies • Teaching Interests: Mechanics of Materials, Computer Aided En- gineering, Dynamics, Engineering Vibrations
Assessment,” Comput. Appl. Eng. Educ., vol. 19, no. 3, pp.411–420, 2011, doi: 10.1002/cae.20291.Appendix – Sample Lab ModuleLearning Objectives - Lab 2 Part ILab 1 Part I: Differential Leveling Proceduresdifferential leveling1 / dif-uh-ren-shuh l le-vəl-ing / procedure used to determine the difference in elevation between twopoints that are some distance apart.Elevation is a critical consideration in the design/development of modern infrastructure.In this lab, you will learn the procedure for determining the elevation difference between points using an Autolevel.While doing this, you will be introduced to the roles of a leveling survey team, of which you may act in some capacity as a futureengineer or builder.Upon completion of this lab, you should
scholarly data would be of great utility [18].Data and code sharing policies in computational, mathematical biology, statistics and probability,and multidisciplinary science journals 2011-2012 were analyzed [19]. Their results indicated38% of journals they evaluated had a data sharing policy and 22% had a code sharing policy. Theonline author’s instructions and editorial policies for 318 biomedical journals were manuallyreviewed to analyze the journal’s data sharing requirements and characteristics [20]. Resultsindicated 23% had a statement encouraging data sharing and 9.1 % of journals required datasharing.In 2016, the FAIR Guiding principles for scientific data management and stewardship werepublished in Scientific Data [18]. The authors sought
Educational Effectiveness.Dr. Daniel J. Laxman, Arizona State University Building on existing research, I use advanced statistical analyses and research methods to answer ques- tions regarding parenting, family relations, disabilities, and other topics. I also use these skills to evaluate the effectiveness of programs. I use R and other statistical software for my analyses and reports. I am continually expanding my skill set in statistics and data science to best answer research questions. Leaders in science, policy, and business committed to evidenced-based decision-making embrace the refrain, ”Data or it didn’t happen.” I have adopted this refrain as a guiding principle in my life and work
] Bonk, C. J., & Reynolds, T. H. (1998). Learner-Centered Web Instruction for Higher-Order Thinking, Teamwork, and Apprenticeship. In B. Khan (Ed.), Web-Based Instruction, 167-178.[4] Raju, P.K. and Chetan S. Sankar, Della Steam Plant Case Study: Should the Turbine be Shut-Off? Tavenner Publishers, 2000[5] Bloom, B. (1956). Taxonomy of educational objectives: The classification of education goals: Handbook I, cognitive domain. New York, NY: John Wiley & Sons, Inc.[6] Gagne, R. (1985). The Conditions of Learning (4th ed.). New York: Holt, Rinehart & Winston.[7] Filipczak, B. (1996). Engaged! The Nature of Computer Interactivity. Training, 33 (11), 52-58.[8] Schuch-Miller, D. & Plonka, F.E. (2001
evaluating their final design.To date, we know little about how K-12 students evaluate ill-defined problems. Most of what weknow about how students evaluate their designs comes from studies about students learningscientific practices where the researchers or teachers aid the students in defining the problem andevaluations. In these units, students construct and evaluate models (replications or representationof existing devices or phenomenon) either physically [9, 10, 11, 12] in simulation software [13] or acombination of both [14]. A number of studies have found that giving students basic functioningmodels and then asking them to redesign them to accomplish a larger goal motivates students toevaluate and iterate [9, 12, 13].In two more open-ended
Engineering Education, 88(3): 311-316, 1999.[7] Jansen, E.D., Mahadavari-Jansen, A., Lin, W.-C., Brophy, S.P., Mackanos, M.A., “Development andImplementation of an Interactive Instructional Module of Light Distribution in Tissue.” Proceedings of theAmerican Society of Engineering Education, June 24-27, 2001, Albuquerque, NM.[8] Munson-McGee, S.H. “An Introductory ChE Laboratory Incorporating EC2000 Criteria.” ChemicalEngineering Education, 34(1): 80-84, 2000.[9] Freshney, R. Ian. Culture of Animal Cells: A Manual of Basic Technique, 4th edition. Wiley-Liss, Inc., NewYork, 2000.[10] Engelberg, I., Kohn, J. “Physico-mechanical Properties of Degradable Polymers Used in MedicalApplications: A Comparative Study.” Biomaterials, 12: 292-304, 1991.[11] Lu, L
make students aware of the iterative nature of design and how many factors can conspire together to influence the outcome. We typically try to concentrate on the social, technical, and social influences, but primarily emphasize how to evolve their solutions from one proposal to the next. • To introduce the collaborative nature of the design process. Small teams and peer evaluation are encouraged so that they can learn how the studio environment can be a different place to learn than the classroom. • To begin the development of their communication skill set, particularly as it relates to design. This includes, computer simulation and 3D modeling, physical modeling