Relevant bibliographies by topics / Engineering and Technology

Academic literature on the topic 'Engineering and Technology'

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Published: 4 June 2021
Last updated: 6 September 2023

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Journal articles on the topic "Engineering and Technology"

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Beretta, Marco. "Technology and Engineering." Annals of Science 66, no. 1 (January 2009): 150–51. http://dx.doi.org/10.1080/00033790701650209.

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Jones, James H. "Engineering Technology Control." Applied Industrial Hygiene 1, no. 1 (April 1986): R—23—R—25. http://dx.doi.org/10.1080/08828032.1986.10390462.

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Jansen, T. J., and A. E. McGarity. "Solar Engineering Technology." Journal of Solar Energy Engineering 108, no. 4 (November 1, 1986): 346. http://dx.doi.org/10.1115/1.3268119.

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Lozano-Nieto, Albert. "Biomedical Engineering Technology." Journal of Clinical Engineering 29, no. 1 (January 2004): 43–48. http://dx.doi.org/10.1097/00004669-200401000-00043.

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Edwards, K. L. "Engineering materials technology." Materials & Design 15, no. 2 (January 1994): 117. http://dx.doi.org/10.1016/0261-3069(94)90048-5.

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Johnson, James R. "Engineering and Technology." Bulletin of Science, Technology & Society 7, no. 3-4 (August 1987): 589–91. http://dx.doi.org/10.1177/027046768700700328.

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Johnson, James R. "Engineering and Technology." Bulletin of Science, Technology & Society 7, no. 5-6 (December 1987): 589–91. http://dx.doi.org/10.1177/0270467687007005-605.

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Eriksson, A., K. Marti, M. Müller-Hannemann, B. H. V. Topping, and C. A. Mota-Soares. "Engineering Computational Technology." Advances in Engineering Software 38, no. 11-12 (November 2007): 723–25. http://dx.doi.org/10.1016/j.advengsoft.2006.11.002.

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Jäkälä, Mikko, and Samuli Pekkola. "From technology engineering to social engineering." ACM SIGMIS Database: the DATABASE for Advances in Information Systems 38, no. 4 (October 28, 2007): 11–16. http://dx.doi.org/10.1145/1314234.1314238.

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Tóth, Dániel. "Engineering Application of Reverse Engineering Technology." Design of Machines and Structures 12, no. 2 (2022): 120–25. http://dx.doi.org/10.32972/dms.2022.021.

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Scanners operating on the optical principle are devices for recording the physical geometry of bodies suitable for non-contact measurement which work in the visible light range. These use the difference in contrasts and the strength of the reflected light for the measurement, by using the classic triangulation principle. This article focuses on reverse engineering technologies and optical scanning process.
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Dissertations / Theses on the topic "Engineering and Technology"

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Worotynska, Ewa Barbara. "Multimedia technology in engineering education." Thesis, University of Sydney, 1995. https://hdl.handle.net/2123/27604.

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This thesis had been inspired by a rapid development of multimedia systems and opportunities arising for their use in engineering education. The author, being a professional developer of computer based training, has used her engineering and educational experience in the search for the optimal use of multimedia technology in engineering education at the tertiary level. Multimedia technology used for educational purposes requires not only technical expertise, but pedagogical and psychological as well. The possibility of the use of a different form in a multimedia educational system, merges a variety of disciplines that had not been considered before in tertiary education. All the above aspects are considered in the thesis, emphasising the difficulty of defining only one solution for every problem. The main goal of the project was to utilise theoretical knowledge in the practical form of working software. The multimedia educational software created by the author (recorded in the attached CD Rom) stands as a summary of her research work and professional experience in multimedia design and production. The author's software proves that it is possible nowadays to create highly efficient educational computer programs that can be used for engineering education.
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Orr, Harrison. "Student Retention in Community College Engineering and Engineering Technology Programs." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/etd/3657.

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An ex-pos-facto non-experimental quantitative study was conducted to examine the academic, financial, and student background factors that influence first-to-second year retention of engineering and engineering technology students at U.S. community colleges. Analysis of the five research questions was done using a chi-square test and multiple logistic regressions. Data were obtained from the National Center for Education Statistics (NCES) Beginning Postsecondary Students 2012/2014 (BPS: 12/14) study. Computations were performed using PowerStats, a web-based statistical tool provided by the NCES, as well as IBM SPSS 25. The sample population consisted of students who entered postsecondary education for the first time in the 2011-2012 academic year and enrolled in an engineering or engineering technology program at a community college. Predictor variables were identified from the dataset and grouped into the categories of academic, financial, and student background variables. These groupings were used as individual models to predict first-to-second year retention of community college engineering and engineering technology students using logistic regressions. Finally, individual variables that displayed statistical significance were then combined and were used as a model to predict student retention with a logistic regression. Results indicate that community college engineering and engineering technology students are not retained at a significantly different rate than non-engineering and engineering technology majors. In addition, the groupings of academic and student background variables did not have a significant impact on the retention of community college engineering and engineering technology students, while the grouping of financial variables did have a significant impact on retention. The variables attendance pattern (academic), TRIO program eligibility criteria and total aid amount (financial), and dependency status (student background) were all statistically significant to their respective predictor models. Finally, the combination of these statistically significant academic, financial, and student background variables were significant predictors of retention.
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Long, Graham. "Engineering Doctorate (EngD) in Environmental Technology." Thesis, University of Surrey, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.310040.

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DiDomenico, Charles F. "The role of engineering graphics in the civil engineering technology curriculum." [Denver, Colo.] : Regis University, 2009. http://adr.coalliance.org/codr/fez/view/codr:123.

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Yousif, Wael K. "Examining engineering & technology students' acceptance of network virtualization technology using the technology acceptance model." Orlando, Fla. : University of Central Florida, 2010. http://purl.fcla.edu/fcla/etd/CFE0003071.

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Yousif, Wael K. Yousif. "EXAMINING ENGINEERING & TECHNOLOGY STUDENTS ACCEPTANCE OF NETWORK VIRTUALIZATION TECHNOLOGY USING THE TECHNOLOGY ACCEPTANCE MODE." Doctoral diss., University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3039.

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This causal and correlational study was designed to extend the Technology Acceptance Model (TAM) and to test its applicability to Valencia Community College (VCC) Engineering and Technology students as the target user group when investigating the factors influencing their decision to adopt and to utilize VMware as the target technology. In addition to the primary three indigenous factors: perceived ease of use, perceived usefulness, and intention toward utilization, the model was also extended with enjoyment, external control, and computer self-efficacy as antecedents to perceived ease of use. In an attempt to further increase the explanatory power of the model, the Task-Technology Fit constructs (TTF) were included as antecedents to perceived usefulness. The model was also expanded with subjective norms and voluntariness to assess the degree to which social influences affect students decision for adoption and utilization. This study was conducted during the fall term of 2009, using 11 instruments: (1) VMware Tools Functions Instrument; (2) Computer Networking Tasks Characteristics Instrument; (3) Perceived Usefulness Instrument; (4) Voluntariness Instrument; (5) Subjective Norms Instrument; (6) Perceived Enjoyment Instrument; (7) Computer Self-Efficacy Instrument; (8) Perception of External Control Instrument; (9) Perceived Ease of Use Instrument; (10) Intention Instrument; and (11) a Utilization Instrument. The 11 instruments collectively contained 58 items. Additionally, a demographics instrument of six items was included to investigate the influence of age, prior experience with the technology, prior experience in computer networking, academic enrollment status, and employment status on student intentions and behavior with regard to VMware as a network virtualization technology. Data were analyzed using path analysis, regressions, and univariate analysis of variance in SPSS and AMOS for Windows. The results suggest that perceived ease of use was found to be the strongest determinant of student intention. The analysis also suggested that external control, measuring the facilitating conditions (knowledge, resources, etc) necessary for adoption was the highest predictor of perceived ease of use. Consistent with previous studies, perceived ease of use was found to be the strongest predictor of perceived usefulness followed by subjective norms as students continued to use the technology. Even though the integration of the task-technology fit construct was not helpful in explaining the variance in student perceived usefulness of the target technology, it was statistically significant in predicting student perception of ease of use. The study concluded with recommendations to investigate other factors (such as service quality and ease of implementation) that might contribute to explaining the variance in perceived ease of use as the primary driving force in influencing student decision for adoption. A recommendation was also made to modify the task-technology fit construct instruments to improve the articulation and the specificity of the task. The need for further examination of the influence of the instructor on student decision for adoption of a target technology was also emphasized.
Ed.D.
Department of Educational Research, Technology and Leadership
Education
Education EdD
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Haard, Johannes Jozef Wilhelmus de. "Exploring antibody engineering technology for diagnostic applications." [Maastricht : Maastricht : Universiteit Maastricht] ; University Library, Maastricht University [Host], 1999. http://arno.unimaas.nl/show.cgi?fid=6826.

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Potter, Barry Scott. "Analysis of Technology and Engineering Education Assessments." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/102205.

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Technology and Engineering Education has deep roots in Project Based Learning, with its beginning in the Industrial Arts, and tracing its ancestry to craft apprenticeships. This constructivist philosophy supports the idea that the creation of an artifact lends itself to higher order cognitive processes. This study analyzed the content of middle school Technology and Engineering Education Rubrics for evidence that higher order cognition was being assessed. Five raters coded ninety-eight performance indicators from six rubrics for the evidence of declarative, procedural, schematic, and strategic knowledge. Gwet's AC1 and percent agreement were calculated to determine inter-rater reliability. Additionally, the performance criteria were coded for six engineering constructs. The Engineering Constructs from the performance criteria were extrapolated to the performance indicators to see which Engineering Constructs were supporting higher order cognition. Analysis included the determination of whether or not the rubrics that were analyzed supported higher order cognition as well as their performance indicators, performance criteria, and which Engineering Constructs support higher order cognitive processes.
Doctor of Philosophy
What used to be known as the shop class, or Industrial Arts, has morphed into Technology and Engineering Education. With the emphasis now on teaching engineering processes and Project Based Learning instead of manual skills, there is a lack of research on whether or not the assessments have evolved enough to assess higher levels of cognition. Higher level cognitive processes in engineering design are defined as those processes that are used to troubleshoot and create. This study analyzed middle school Technology and Engineering Education rubrics to look for evidence of assessing higher order cognition. Rubrics are a commonly used tool in Project Bases Learning as a form of assessment. Rubrics are separated into two distinct parts: performance criteria; and their performance indicators. The performance criteria were analyzed for six different Engineering Constructs, and the performance indicators were analyzed for four cognitive constructs. The analysis looked for evidence of higher-level cognitive constructs, and which Engineering Constructs supported higher level cognitive constructs.
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FABBRINI, GIULIANO. "Engineering innovative technology for the financial industry." Doctoral thesis, Università degli studi di Genova, 2022. http://hdl.handle.net/11567/1084474.

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Today innovative technologies allow to develop new performing systems; therefore, also complex in terms of interactions among components and emerging. The innovative technologies are a crucial point for many fields. The filed that we have focused on it is the financial engineering. The financial engineering notion is central to this thesis; as technology advances, the financial sector is becoming increasingly connected to the engineering sector. Financial engineering is a diverse subject of research and practice in which an engineering approach and methodology are applied to the world of finance. Financial engineering functions as a connector of data from several sectors, such as Economics, Mathematics, and IT. It is the application of mathematical concepts to financial problems, as well as the use of tools (due to technological advancements) and expertise from other fields. It used arithmetic to solve current financial problems and create new and innovative financial solutions. Regular commercial banks use financial engineering, which is known as quantity analysis. I looked at two major applications of financial engineering in this paper: machine learning and blockchain. In the financial sector, these two technologies are critical for engineering solutions. We investigated one application of blockchain: the crypto mining server. Machine learning is employed in the development of a specific financial indication (in the case of this work).
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Weston, Delys E. "Democracy and political economy of genetic engineering /." Access via Murdoch University Digital Theses Project, 2007. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20070327.143205.

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Books on the topic "Engineering and Technology"

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Hennessy, Liam. Engineering technology. Dublin: Educational Company of Ireland, 1985.

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Wright, R. Thomas. Technology & engineering. Tinley Park, Ill: Goodheart-Willcox, 2012.

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Davies, G. Engineering technology. Cambridge: Hobsons, 1987.

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Engineering & technology. Clifton Park, N.Y: Delmar/Cengage Learning, 2010.

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Bolton, W. Engineering materials technology. 3rd ed. Oxford [England]: Butterworth-Heinemann, 1998.

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M, Kennie T. J., and Petrie G, eds. Engineering surveying technology. Glasgow: Blackie, 1990.

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Lette, M., and M. Oris, eds. Technology and Engineering. Turnhout: Brepols Publishers, 2000. http://dx.doi.org/10.1484/m.dda-eb.5.112466.

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International, Conference on Engineering Computational Technology (3rd 2002 Faculty of Civil Engineering Czech Technical University). Engineering computational technology. Stirling: Saxe-Coburg Publications, 2002.

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Topping, B. H. V., and Z. Bittnar, eds. Engineering Computational Technology. Stirlingshire, UK: Saxe-Coburg Publications, 2002. http://dx.doi.org/10.4203/csets.8.

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Liam, Hennessy, Educational Company of Ireland, and Engineering and Technology Teachers' Association., eds. New engineering technology. Walkinstown: Educational Company, Engineering and Technology Teachers' Association, 1996.

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Book chapters on the topic "Engineering and Technology"

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Weik, Martin H. "engineering technology." In Computer Science and Communications Dictionary, 524. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_6265.

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Demmel, Markus, and Georg Wendl. "Agricultural engineering." In Technology Guide, 410–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88546-7_77.

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Curbach, Manfred, and Silke Scheerer. "Structural engineering." In Technology Guide, 426–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88546-7_80.

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Weik, Martin H. "software engineering technology." In Computer Science and Communications Dictionary, 1610. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_17656.

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Le, Xie. "Reverse Engineering Technology." In Digital Orthopedics, 69–75. Dordrecht: Springer Netherlands, 2017. http://dx.doi.org/10.1007/978-94-024-1076-1_7.

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Bonten, Christian. "Plastics Materials Engineering." In Plastics Technology, 65–246. München: Carl Hanser Verlag GmbH & Co. KG, 2019. http://dx.doi.org/10.3139/9781569907689.003.

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Bordry, F., L. Bottura, A. Milanese, D. Tommasini, E. Jensen, Ph Lebrun, L. Tavian, et al. "Accelerator Engineering and Technology: Accelerator Technology." In Particle Physics Reference Library, 337–517. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34245-6_8.

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AbstractMagnets are at the core of both circular and linear accelerators. The main function of a magnet is to guide the charged particle beam by virtue of the Lorentz force, given by the following expression:where q is the electrical charge of the particle, v its velocity, and B the magnetic field induction. The trajectory of a particle in the field depends hence on the particle velocity and on the space distribution of the field. The simplest case is that of a uniform magnetic field with a single component and velocity v normal to it, in which case the particle trajectory is a circle. A uniform field has thus a pure bending effect on a charged particle, and the magnet that generates it is generally referred to as a dipole.
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Encarnação, José L., and Peter C. Lockemann. "Database Technology." In Engineering Databases, 21–137. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-61508-5_2.

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Alvarez, L., A. Cook, and J. Polgar. "Assistive technology." In Rehabilitation Engineering, 45–62. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/b21964-3.

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Salaheldeen Elnashaie, Said, Firoozeh Danafar, and Hassan Hashemipour Rafsanjani. "Chemical Engineering from Technology to Engineering." In Nanotechnology for Chemical Engineers, 1–77. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-496-2_1.

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Conference papers on the topic "Engineering and Technology"

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"Technology-Based Re-Engineering Engineering Education." In Technology-Based Re-Engineering Engineering Education Proceedings of Frontiers in Education FIE'96 26th Annual Conference. IEEE, 1996. http://dx.doi.org/10.1109/fie.1996.567951.

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"Engineering & technology education college of engineering." In 2011 Frontiers in Education Conference (FIE). IEEE, 2011. http://dx.doi.org/10.1109/fie.2011.6143138.

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Dong, YuYang, and Liang Huo. "Engineering remote sensing technology." In Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, edited by Mingzhi Wei, Xinjian Yi, Jianzhong Han, and Fiodor F. Sizov. SPIE, 1998. http://dx.doi.org/10.1117/12.317826.

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Buchanan, Walter, and Al Mehrabian. "ENGINEERING TECHNOLOGY EDUCATION TOPICS." In XIII International Conference on Engineering and Technology Education. Science and Education Research Council (COPEC), 2014. http://dx.doi.org/10.14684/wcca.7.2014.6-7.

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Buchanan, Walter, M. Yurtseven, and Al Mehrabian. "Future topics for engineering and engineering technology curricula." In VIII International Conference on Engineering and Computer Education. Science and Education Research Council (COPEC), 2013. http://dx.doi.org/10.14684/icece.08.2013.28-29.

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Klawans, Michelle, Abieyuwa Aghayere, Gennady Friedman, Vladimir Genis, Jennifer Katz-Buonincontro, and Frederika Reisman. "ENHANCING CREATIVITY IN ENGINEERING AND ENGINEERING TECHNOLOGY STUDENTS." In XIII International Conference on Engineering and Technology Education. Science and Education Research Council (COPEC), 2014. http://dx.doi.org/10.14684/intertech.13.2014.61-65.

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"Engineering and technology management session." In 2006 IEEE Region 5 Conference. IEEE, 2006. http://dx.doi.org/10.1109/tpsd.2006.5507402.

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Thomas, Fred. "Physics modules for engineering technology." In The changing role of physics departments in modern universities. AIP, 1997. http://dx.doi.org/10.1063/1.53190.

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Benitah, Cyril, Terrence Gillay, Christopher House, and Gary Smith. "Virtual Engineering and Morphing Technology." In International Truck & Bus Meeting & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1998. http://dx.doi.org/10.4271/982807.

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"ETM Engineering &Technology Management." In 2006 Technology Management for the Global Future - PICMET 2006 Conference. IEEE, 2006. http://dx.doi.org/10.1109/picmet.2006.296707.

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Reports on the topic "Engineering and Technology"

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Sharpe, R. FY04 Engineering Technology Reports Technology Base. Office of Scientific and Technical Information (OSTI), January 2005. http://dx.doi.org/10.2172/15015934.

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Minichino, C., and D. Meeker. FY02 Engineering Technology Reports Volume 1: Technology Base. Office of Scientific and Technical Information (OSTI), January 2003. http://dx.doi.org/10.2172/15005370.

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Minichino, C., and D. Meeker. Engineering Technology Reports, Volume 2: Technology Base FY01. Office of Scientific and Technical Information (OSTI), July 2002. http://dx.doi.org/10.2172/15006871.

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Baron, A., R. Langland, and C. Minichino. Engineering Technology Reports, Volume 2: Technology Base FY00. Office of Scientific and Technical Information (OSTI), October 2001. http://dx.doi.org/10.2172/15007515.

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Hanrahan, Robert, Charles Daud, Kenneth Meiser, and Judi Peterson. Software Engineering Environment Technology Report. Fort Belvoir, VA: Defense Technical Information Center, April 1994. http://dx.doi.org/10.21236/ada294232.

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Hanrahan, Robert, Charles Daud, Kenneth Meiser, and Judi Peterson. Software Engineering Environment Technology Report,. Fort Belvoir, VA: Defense Technical Information Center, April 1994. http://dx.doi.org/10.21236/ada325300.

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Anderson, Hazel. Pre-Engineering Program: Science, Technology, Engineering and Mathematics (STEM). Fort Belvoir, VA: Defense Technical Information Center, August 2013. http://dx.doi.org/10.21236/ada591097.

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Minichino, C., S. Alves, A. Anderson, C. Bennett, C. Brown, W. Brown, D. Chinn, et al. FY06 Engineering Research and Technology Report. Office of Scientific and Technical Information (OSTI), January 2007. http://dx.doi.org/10.2172/902322.

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Kammenzind, D. E. Waste Technology Engineering Laboratory (324 building). Office of Scientific and Technical Information (OSTI), May 1997. http://dx.doi.org/10.2172/362462.

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Sharpe, R., Satinderpall S. Pannu, Rebecca J. Nikolic, Richard C. Montesanti, Harry E. Martz, Jr., Nathan R. Barton, Joel V. Bernier, et al. FY09 Engineering Research & Technology Report. Office of Scientific and Technical Information (OSTI), April 2010. http://dx.doi.org/10.2172/1127193.

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