of his experience as a researcher/academician, he has been actively involved in research and accredi- tation work related to engineering education. His technical research areas are Applied materials and manufacturing; Applied mechanics and design; Reliability engineering; and Engineering education. As part of the Applied Mechanics and Advanced Materials Research group (AM2R) at SQU, he has been involved in different applied research funded projects in excess of 4 million dollars. He has around 200 research/technical publications to his credit (2 research monographs/books, 2 edited book volumes, 5 book chapters, 145 publications in refereed international journals and conferences, and 32 technical reports). He is
layer 2 in Fig. 2are dense layers. Fig. 2: A simple deep learning network with two layers Fig. 3: Internal view of neuronIn a neuron, each input will have a weight associated with it as shown in Fig. 3. The weights aremultiplied by the inputs, the products are summed, and a bias is added. The result is typically usedas an input to an activation function. The output of the neuron will be the output of the activationfunction.The activation function will depend on the application of the neural network. In a linear regression,the neural network is trained to output numbers in response to inputs that are also numbers. TheRectified Linear Unit (ReLU) and sigmoid activation functions can be used
designer, he has worked on a range of projects that included houses, hospitals, recreation centers, institutional buildings, and conservation of historic buildings/monuments. Professor Sudarshan serves on the Working Group-6: Tensile and Mem- brane Structures of the International Association of Shell and Spatial Structures (IASS), the American Society of Civil Engineers’ (ASCE) Aerospace Division’s Space Engineering and Construction Technical Committee, and the ASCE/ACI-421 Technical Committee on the Design of Reinforced Concrete Slabs. He is the Program Chair of the Architectural Engineering Division of the American Society of Engi- neering Education (ASEE). He is also a member of the Structural Stability Research
Paper ID #5702Vertical assessment of math competency among freshmen and sophomore en-gineering studentsDr. Kendrick T. Aung, Lamar University KENDRICK AUNG is a professor in the Department of Mechanical Engineering at Lamar University. He received his Ph.D. degree in Aerospace Engineering from University of Michigan in 1996. He is an active member of ASEE, ASME, SAE, AIAA and Combustion Institute. He has published over 70 technical papers and presented several papers at national and international conferences.Dr. Ryan Underdown, Lamar University Dr. Underdown is an Associate Professor in the Industrial Engineering
intern previously,Meagan had lots of mentoring, coaching, and support. In this role, Meagan was almost solelyself-managed, and this required tremendous discipline and project management skills. Thetransition of identity is a result of an engineering professional competence (and confidence)garnered through the application of learned content in practice[3]. While every internship rolewill vary, as will the expectation of the intern, the message to take away from this lesson learnedis to have the confidence to speak up, and share your knowledge.ConclusionWith an increase of Engineering Education graduate programs, and an increase in educationtechnology products to meet the needs of the engineering education market, internships in thisindustry are a
-Fields-With-Applications/Mandrekar-Gawarecki/9781498707817 Gawarecki L., Mandrekar V. (2011) ”Stochastic Differential Equations in Infinite Dimensions with Appli- cations to Stochastic Partial Differential Equations” Springer. http://www.springerlink.com/content/u040lr/#section=823672&page Gawarecki, L.; Mandrekar, V. (2010) ”On the existence of weak variational solutions to stochastic dif- ferential equations”, Commun. Stoch. Anal. 4, no. 1, 1–20. Gawarecki, L.; Mandrekar, V., Rajeev, B. (2009) ”The monotonicity inequality for linear tial differential equations”, Infinite Dimensional Analysis, Quantum Probability and Related Topics, 3 Vol. 12, No. 4 , 1–17. Gawarecki, L.; Mandrekar, V. Rajeev, B. (2008) ”Linear
, save fuel and improve the environment.Metrics Values (Table 2 above) were computed as follows:Concept metric (C): three parts, C1 thoroughly researched = 1, otherwise = 0, C2 unique =1 otherwise 0 and C3 creative = 1, otherwise = 0.Protocol: Estimate (1) the amount of research completed, (2) the uniqueness of concept and (3)the amount of creativity. Assign either a 1 or zero for each of the three metrics.Time metric (T): < 30 weeks = 1 > 30 weeks = 0Protocol: List all the tasks and milestones to accomplish proposal, design, construction andtesting. Assign time duration to each task in man-hours. Add all the time durations to get totalestimated time. Allotted time equals the number of man-hours available in 4 eight week session
mechanical engineeringwithin the School of Engineering and interest in helping our graduates become better prepared tohandle the applied mathematical rigors of engineering graduate school, especially at topinstitutions, a technical elective course entitled Advanced Engineering Mathematics wasdeveloped and has now been taught a total of 3 times. The prerequisites were both MultivariableCalculus (MATH 200) and Introduction to Differential Equations and Linear Algebra (MATH210)1. A survey approach was adopted and topics were selected to appeal to both the needs ofelectrical and mechanical engineering students, and for which there are mainstream textbooksavailable.As part of the content selection exercise, an effort was made to solicit input (via email
Convective Phenomena course, we found they retained these relearned conceptslater, and thus have performed well on the background check quizzes. The e-mail readSome samples of student comments from ESCC Course Evaluations after Fluids II:References[1] R. C. Hibbeler, Engineering Mechanics – Dynamics, 14th Edition, Pearson, 2016.[2] A. Ghosh, “Foundations of Statics – An Assessment Study and Feedback Implementation”,Paper No. IMECE 2016-66302, ASME International Mechanical Engineering Congress andExposition, November 11 – 17, Phoenix, Arizona, 2016.[3] A. Ghosh and E.C. Hensel, “An interpretive assessment of engineering science core courses”,Paper No. IMECE 2009-12939, ASME International Mechanical Engineering Congress andExposition, November 13 – 19
Figure 3, was completed in 1989 in Parisand uses an iris mechanism to activate 30,000 photosensitive diaphragms to control light levels(Ahmed et al., 2016). In this system, photovoltaic sensors have been integrated with linearhydraulic actuators to control the centralized structure, which permits only 10 to 30% of daylightto penetrate inside the building and also prevents solar glare (Decker & Zarzycki, 2013).In 2007, the responsive facade of the Kiefer Technic Showroom by Ernst Giselbrecht (Khoo, 2013)was designed to optimize internal climate situations based on outdoor environmental conditions, 8users’ preferences and facades’ appearance appeals. The perforated aluminum panels of the
teaching experience spans across secondary, adult, technical and higher education. She has presented at state, regional, national and international conferences and has several publications. She has served on ac- creditation committees, K-12 school committees and local community boards and received and managed over two million dollars in federal grants. In addition, Dr. Mosley serves on state and national committees for teacher education.Dr. Mir M. Hayder, Savannah State University Dr. Hayder is an Assistant Professor in the Department of Engineering Technology at savannah State Uni- versity, GA. He received PhD in Mechanical Engineering from McGill University, Canada. His research interest lies in the areas of fluid
prerequisite, and co-requisite. The course name: Statics (CE250 and ME 250). Description from the University Bulletin: “Forces and couples, free bodydiagrams, two- and three-dimensional equilibrium of a particle and rigid bodies. Principles offriction, centroids, centers of gravity, and moments of inertia. Virtual work, potential energy, andstatic stability of equilibrium. Internal forces, shear and bending moment diagrams.” Semestercredit hours: 3; Class hours: 3. Prerequisite: Physics 152, Co-requisite: MA 261.Prerequisite: Physics 152. Description from the University Bulletin: “Statics, uniform, andaccelerated motion; Newton’s laws; circular motion; energy, momentum, and conservationprinciples; dynamics of rotation; gravitation and planetary motion
noteworthy:1. A provisional patent has been secured by PES University for a matured version of the payload conceived as part of the Summer ’16 offering.2. Two articles [21], [22] related to the payload conceived as part of the offerings are published in the proceedings of the AIAA SPACE ’17 Forum. The articles are authored by faculty and students of both collaborating institutions.3. One article [23] related to the payload conceived as part of the Summer ’16 offering was presented at the International Astronautical Congress in Adelaide, Australia and published as part of its proceedings.4. The team engaged in maturing the above payload has won an award at the India Innovation Growth Programme (IIGP) 2.0. As part of this award, the team
AutonomousDriving Car," 2020 5th International Conference on Information Science, Computer Technologyand Transportation (ISCTT), 2020, pp. 1-6, doi: 10.1109/ISCTT51595.2020.00007.[2] T. Treebupachatsakul and S. Poomrittigul, "Microorganism Image Recognition based onDeep Learning Application," 2020 International Conference on Electronics, Information, andCommunication (ICEIC), 2020, pp. 1-5, doi: 10.1109/ICEIC49074.2020.9051009.[3] S. Liu and B. Liu, "Application Analysis of Image Enhancement Method in Deep LearningImage Recognition Scene," 2021 Second International Conference on Electronics andSustainable Communication Systems (ICESC), 2021, pp. 1949-1952, doi:10.1109/ICESC51422.2021.9532597.[4] R. Zhang, W. Xiao, H. Zhang, Y. Liu, H. Lin and M. Yang, "An
before graduation to make the credit countsufficient for graduation. But, the content of the final two years of engineering content wasstructured to avoid specific prerequisite requirements to allow the widest possible range ofstudent participation.Gap Closure PlanAfter discussion, the team decided to mount an aggressive gap closure program that would startin the summer 2012 term and extend through the summer session of 2013. This plan had thepotential of preparing over 50 students for the fall 2013 launch of the accelerated last two yearsof the program. This gap closure program had to be approved by company management since iteffectively added a year to the internal support of the cohort. In the longer term, it was assumedthat future cohorts
assessment of situational intrinsic and extrinsic motivation: The Situational Motivation Scale (SIMS). Motivation and Emotion, 24(3), 175–213.Levesque-Bristol, C., Knapp, T. D., & Fisher, B. J. (2011). The effectiveness of service- learning: It’s not always what you think. Journal of Experiential Education, 33(3), 208–224.Moore, J. (2005). Undergraduate mathematics achievement in the emerging ethnic engineers programme. International Journal of Mathematical Education in Science and Technology, 36(5), 529–537.Niemiec, C. P., & Ryan, R. M. (2009). Autonomy, competence, and relatedness in the classroom: Applying self-determination theory to educational practice. School Field, 7(2), 133–144.Olson, S
-controller. The use of the graphical programming language helpedstudents understand the interfacing and control logic and motivated them to learn further on thesubjects. We plan to continuously improve the course to keep it updated with the latesttechnology. A section on programmable logic controllers as an alternative controller will beintroduced in future semesters.References [1] A. Geddam, “Mechatronics for engineering education: undergraduate curriculum,” Mechatronics, vol. 1, p. 13, 2003. [2] M. Grimheden, “Mechatronics engineering education,” Ph.D. dissertation, KTH, 2006. [3] S. K. Gupta, S. Kumar, and L. Tewari, “A design-oriented undergraduate curriculum in mechatronics education,” International Journal of Engineering Education, vol
College of Engineering Dean’s awards in recognition of his contributions toward achievement of the goals of College of Engineering and Computer Science at FAU. He has served as session chair and organizer of many sessions in the international conferences for the past 30 years. Professor Zilouchian is currently an associate editor of the International Journal of Elec- trical and Computer Engineering out of Oxford, UK. Professor Zilouchian is senior member of several professional societies including Tau Beta Pi, Sigma Xi, Phi Kappa Phi, ASEE and IEEE.Dr. Michael Vitale, East Carolina University DR. Vitale holds the Ph.D. in Educational Research and Instructional Psychology.Ms. Lisa Greenberg, Florida Atlantic University
. "RFID applications and challenges." Radio Frequency Identification from System to Applications (2013).[2] Häkli, Janne, et al. "Challenges and Possibilities of RFID in the Forest Industry." Radio Frequency identification from system to applications (2013): 301-324.[3] Li, Suhong, et al. "Radio frequency identification technology: applications, technical challenges and strategies." Sensor Review 26.3 (2006): 193-202.[4] McCathie, Luke. "The advantages and disadvantages of barcodes and radio frequency identification in supply chain management." (2004).[5] Çiftler, Bekir Sait, Abdullah Kadri, and Ismail Guvenc. "Experimental performance evaluation of passive UHF RFID systems under interference." RFID Technology and Applications
, Kinetics, Catalysis and Reactor Design. She did her undergraduate studies in Chemical Engineering at the Universidad Aut´onoma de Tlaxcala, M´exico, and his Master and Doctoral studies at the Instituto Tecnol´ogico de Celaya, M´exico. Her research interests are in the field of Process Systems Engineering, Bioprocess ModelIing and Engineering Education. Her research labor has been reported on scientific international journals and presented in different national and international conferences.Prof. Aurelio Lopez-Malo, Universidad de las Americas Puebla Aurelio L´opez-Malo is Professor and Past Chair, Department of Chemical, Food, and Environmental En- gineering at Universidad de las Americas Puebla in Mexico. He teaches
computer rooms.Remote labs were introduced later to meet the demand of online education, especially after thevirtual machines were adopted. Starting 2006, we redesigned our hands-on labs with virtualmachines in ICTN 4200/4201 Intrusion Detection Technologies [3]. The course is offered everyfall semester. It is a senior level course for Information and Computer Technology majors. Thecourse covers computer network intrusion detection principles, devices, and applications. Thethree-credit hour course has two lecture (ICTN 4200) and two lab (ICTN 4201) hours. Typically,one or two face-to-face (F2F) sections and one distance education (DE) section are offered witha total of 60 - 80 students. Both F2F and DE students now complete the labs online
costing hours of lost workand effort. Mitigation of downtime also becomes important as we look to prove the stability of the CS. Thisadheres to our goal of enabling users of any discipline to deploy their sensors quickly and easily.15References[1]. Sdi-12.org, SDI-12 Support Group. [Online] Available: https://sdi-12.org/ [Accessed 26 Jan 2022].[2]. I2C Info – I2C bus, interface and Protocol,” I2C Info – I2C Bus, Interface and Protocol. [Online]. Available: https://i2c.info/. [Accessed: 28 Jan 2022].[3]. Mankar, J., Darode, C., Trivedi, K., Kanoje, M., & Shahare, P. “REVIEW OF I2C PROTOCOL” International Journal of Research in Advent Technology, vol.2, no.1, pp. 474–479. Available CiteSeer http
engineeringroom for investigations into how well-established and Personal Professional content and professionsuccessful elementary teachers of engineering professional practices [4]. According to narrative identity theory, Experience Context Professionaldeveloped their perceptions of engineering and an “narrative identity is the internalized and evolving story of the
and UShealth-care sector planned to use data and analytics to improve their services and reduce errors.As on today, only 10 to 20 percent of the opportunities planned in 2011 have been realized byboth the sectors due to the shortage of technical talent. [7]In recent years, employment for mathematics related occupations increased by almost 4 percent,yet over the same period of time, the number of degrees conferred in math, statistics, andengineering declined by 2 percent [3]. A recent survey from Harvard Business Review indicatedthat big data initiatives are underway in 85 percent of the companies they surveyed. Theseorganizations also indicated that they planned to fill 91 percent of their data science jobs withnew graduates [6]. Though the
of online integration platforms such as Wolfram’s Mathematica© intheir own times caused charged discussions in faculty lounges and curriculum developmentcommittees [3], [4]. This tension is healthy and for the most part has led to a balanced,satisfactory product appropriate for its time.Measured change to curricula is further tempered by external organizations that help engineeringdepartments benchmark each curriculum with other peer institutions and against recent feedbackfrom industry. From the highest level, professional licensure and its supporting educationalrequirements anchor engineering curricula. The National Council of Examiners for Engineeringand Surveying’s (NCEES) Fundamentals of Engineering (FE) Exam is the gateway to
programming support [2].Billard describes a common method for programming of robots—Robot Programming byDemonstration, also known as imitation learning [3]. Nicolescu and Mataric discuss naturalmethods for robot programming, including instructive demonstrations, generalization overmultiple demonstrations and practice trials [4].In the area of industrial robots, Pan et al. provide a comprehensive review of the recent researchon programming methods for industrial robots, including online programming, offlineprogramming, and programming using Augmented Reality (AR) [5]. Wang et al. propose anoptimized path planning method for off-line programming of an industrial robot [6]. Sang Choiet al. present a lead-through method and device for industrial robots
). 'Cognitive realism' in online authentic learningenvironments. In D. Lassner and C. McNaught (Eds.), Proceedings of World Conference onEducational Multimedia, Hypermedia and Telecommunications 2003 (pp. 2115-2121).Chesapeake, VA: AACE. Original article available here11. Herrington, J and Kervin, L, (2007). Authentic learning supported by technology: 10suggestions and cases of integration in classrooms. Educational Media International, 44(3), 219-236. Copyright Taylor and Francis.12.http://blogs.edweek.org/edweek/urban_education_reform/2017/10/new_study_sheds_light_on_rural_teachers_professional_development_challenges.html13. Howley, A., Wood, L., & Hough, B. (2011). Rural elementary school teachers’ technologyintegration. Journal of Research in
smart materials. Ms. Matin has over 4 years of experience of teaching in architecture and interior design field at Azad Islamic University and Eastern Michigan University. She has been LEED Green Associate since 2016.Dr. Ali Eydgahi, Eastern Michigan University Ali Eydgahi started his career in higher education as a faculty member at the Rensselaer Polytechnic In- stitute in 1985. Since then, he has been with the State University of New York, University of Maryland Eastern Shore, and Eastern Michigan University. During 2006-2010, he was Chair of the Department of Engineering and Aviation Sciences, Founder and Director of the Center for 3-D Visualization and Virtual Reality Applications, and Technical Director of the
University-Bozeman, College of Letters & Science, 2019. [6] Doreen Thierauf. Feeling better: A year without deadlines. Nineteenth-Century Gender Studies, 17(1), 2021. [7] Mark Allan Patton. The importance of being flexible with assignment deadlines. Higher Education in Europe, 25(3):417–423, 2000. [8] Thomas Richter. Student’s perceptions of time management and deadlines: A special challenge in e-learning- based cross-cultural education. In EdMedia+ Innovate Learning, pages 2772–2777. Association for the Ad- vancement of Computing in Education (AACE), 2012. [9] Jeramey Tyler, Matthew Peveler, and Barbara Cutler. A flexible late day policy reduces stress and improves learn- ing. In Proceedings of the 2017 ACM SIGCSE Technical
, design activity, and design outcome," Design Studies, vol. 26, no. 6, pp. 649-669, 2005.[6] M. C. Yang, "Concept generation and sketching: Correlations with design outcome.," in ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2003.[7] B. M. Linder, Understanding estimation and its relation to engineering education, Doctoral dissertation, Massachusetts Institute of Technology, 1999.[8] D. Woods, "Teaching Problem Solving Skills," Engineering Education, vol. 66, no. 3, pp. 238-243, 1975.[9] C. Maker, "DISCOVER: Assessing and developing problem solving," Gifted Education International, vol. 15, no. 3, pp. 232-251, 2001.[10] H. L. a. A. Hosoi, "Starting