Academic literature on the topic 'Engineering Sketching'
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Journal articles on the topic "Engineering Sketching"
Schmidt, Linda C., Noe Vargas Hernandez, and Ashley L. Ruocco. "Research on encouraging sketching in engineering design." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 26, no. 3 (August 2012): 303–15. http://dx.doi.org/10.1017/s0890060412000169.
Full textUziak, Jacek, and Ning Fang. "Improving students’ freehand sketching skills in mechanical engineering curriculum." International Journal of Mechanical Engineering Education 46, no. 3 (November 29, 2017): 274–86. http://dx.doi.org/10.1177/0306419017744156.
Full textKenzari, M. Bechir. "Sketching, Computing and Knowledge Engineering." Architectural Science Review 41, no. 2 (June 1998): 81–87. http://dx.doi.org/10.1080/00038628.1998.9697413.
Full textYang, Maria C., and Jorge G. Cham. "An Analysis of Sketching Skill and Its Role in Early Stage Engineering Design." Journal of Mechanical Design 129, no. 5 (May 19, 2006): 476–82. http://dx.doi.org/10.1115/1.2712214.
Full textSepasgozar, Samad, and Leonhard Bernold. "Engineering Sketching: A Valuable Teaching Tool in Construction." Australasian Journal of Construction Economics and Building - Conference Series 1, no. 1 (February 5, 2013): 62. http://dx.doi.org/10.5130/ajceb-cs.v1i1.3156.
Full textKelley, Todd R., and Euisuk Sung. "Sketching by design: teaching sketching to young learners." International Journal of Technology and Design Education 27, no. 3 (January 30, 2016): 363–86. http://dx.doi.org/10.1007/s10798-016-9354-3.
Full textVerhoturova, E., S. Pronin, and G. Ivaschenko. "Reverse engineering is an effective tool for teaching engineering graphics." Geometry & Graphics 10, no. 3 (January 9, 2023): 35–44. http://dx.doi.org/10.12737/2308-4898-2023-10-3-35-44.
Full textTurner, Alasdair, David Chapman, and Alan Penn. "Sketching space." Computers & Graphics 24, no. 6 (December 2000): 869–79. http://dx.doi.org/10.1016/s0097-8493(00)00089-3.
Full textZimmermann, Johannes, Andrew Nealen, and Marc Alexa. "Sketching contours." Computers & Graphics 32, no. 5 (October 2008): 486–99. http://dx.doi.org/10.1016/j.cag.2008.05.006.
Full textSachse, Pierre, Sven Leinert, and Winfried Hacker. "Designing with computer and sketches 1Supported by the German Research Society (DFG, Project HA 2249/12-1)." Swiss Journal of Psychology 60, no. 2 (June 2001): 65–72. http://dx.doi.org/10.1024//1421-0185.60.2.65.
Full textDissertations / Theses on the topic "Engineering Sketching"
Sivaloganathan, Sangarappillai. "Sketching input for computer aided engineering." Thesis, City University London, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292733.
Full textBodwin, Greg (Gregory MIchael). "Sketching distances in graphs." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118077.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 131-144).
Often in computer science, graphs are used to represent metrics: the nodes represent "locations," and the edges represent connectivity between locations. The salient properties of such a graph are the shortest path distances between its nodes - that is, the minimum length of a path from each point A to each point B, capturing the time or resource cost of travelling from one place to another in the space represented by the graph. There are plenty of nice algorithms and structure theorems that are used to understand or analyze shortest path distances. However, in the modern computing, we sometimes have to handle spaces that are too enormous to be efficiently handled by these classic methods. When this happens, it is often useful to "sketch" these enormous spaces, designing a graph or data structure that approximately encodes the distances of the original network, but in much smaller space. This dissertation is about the design of these graph sketches that encode distances. Some of the content will cover upper bounds: we will demonstrate some new ways to make sketches, and we will prove things about the tradeoff between the size of these sketches and their approximation error. Some of the content will cover lower bounds: we will design some very particular graphs, and we will prove that a certain size vs error tradeoff can't be achieved any sketch on these graphs. We will do this for a few different reasonable notions of "approximation" of distances. We will also consider some of these settings in the fault-tolerant model, where we imagine that nodes or edges of the graph can spontaneously "fail," and we want our sketches to be strongly robust to these failures.
by Greg Bodwin.
Ph. D. in Computer Science
Thiebaut, Jean-Baptiste. "Sketching music : representation and composition." Thesis, Queen Mary, University of London, 2010. http://qmro.qmul.ac.uk/xmlui/handle/123456789/406.
Full textSmithnosky, Jesse Michael. "Enabling collaboration in the sketching domain." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33362.
Full textIncludes bibliographical references (leaf 47).
Sketching, although deceptively simple and seemingly primitive, is a powerful paradigm for designing and understanding many types of engineering systems. Many problem domains, such as designing electrical circuits, developing flow charts, and modeling simple mechanical devices, rely heavily on the ability to produce sketches efficiently in order to bring out the most salient features. Engineers working in these domains usually rely on pen and paper to generate their design sketches. They do this because more advanced technologies (such as notebook computers) are often unavailable, hard to learn, or cumbersome. It is important for engineers to collaborate with their colleagues while working on their sketches. Unfortunately, collaboration on sketches that exist only as pen and paper often proves to be tedious, requiring a minimum of a fax machine and scanner. Engineers could benefit from a more efficient means of collaboration when dealing with pen and paper sketches. The technology exists to improve the current situation and make pen and paper sketches a more effective medium for collaborative design. This thesis presents an implementation of a system that achieves three goals. First, the system allows two users to collaborate on the production of a sketch in much the same way they would collaborate when composing a document (with one user composing a sketch, then accepting or rejecting the changes of his collaborator).
(cont.) Second, it allows users to watch a collaborator's additions play in real time, like watching a movie. And finally, it links the sketch recognition and simulation software developed by the Design Rationale Group at MIT with a simple pen and paper interface, allowing engineers to run simulations of their design sketches. These goals are achieved by using a commercial pen produced by the Anoto Group that is capable of storing the strokes it draws. In essence, the user creates both a hard and soft copy of the sketch simultaneously, and can share the soft copy with any collaborator. Using this model of production, sketches can be collaboratively generated, edited, and reviewed quickly and easily, all using only a pen, paper, and a standard printer.
by Jesse Michael Smithnosky.
M.Eng.
Nelson, Jelani (Jelani Osei). "Sketching and streaming high-dimensional vectors." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/66314.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student submitted PDF version of thesis.
Includes bibliographical references (p. 136-145).
A sketch of a dataset is a small-space data structure supporting some prespecified set of queries (and possibly updates) while consuming space substantially sublinear in the space required to actually store all the data. Furthermore, it is often desirable, or required by the application, that the sketch itself be computable by a small-space algorithm given just one pass over the data, a so-called streaming algorithm. Sketching and streaming have found numerous applications in network traffic monitoring, data mining, trend detection, sensor networks, and databases. In this thesis, I describe several new contributions in the area of sketching and streaming algorithms. The first space-optimal streaming algorithm for the distinct elements problem. Our algorithm also achieves 0(1) update and reporting times. A streaming algorithm for Hamming norm estimation in the turnstile model which achieves the best known space complexity. The first space-optimal algorithm for pth moment estimation in turnstile streams for 0 < p < 2, with matching lower bounds, and another space-optimal algorithm which also has a fast O(log²(1/[epsilon]) log log(1[epsilon])) update time for (1+/-[epsilon])- approximation. A general reduction from empirical entropy estimation in turnstile streams to moment estimation, providing the only known near-optimal space-complexity upper bound for this problem. A proof of the Johnson-Lindenstrauss lemma where every matrix in the support of the embedding distribution is much sparser than previous known constructions. In particular, to achieve distortion (1+/-[epsilon]) with probability 1-[delta], we embed into optimal dimension 0([epsilon]-²log(1/[delta])) and such that every matrix in the support of the distribution has 0([epsilon]-¹ log(1/[delta])) non-zero entries per column.
by Jelani Nelson.
Ph.D.
Axiotis, Kyriakos. "Algorithms for Subset Sum using linear sketching." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122750.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 41-43).
Given n positive integers, the Modular Subset Sum problem asks if a subset adds up to a given target t modulo a given integer m. This is a natural generalization of the Subset Sum problem (where m = + [infinity symbol]) with ties to additive combinatorics and cryptography. The non-modular case was long known to be NP-complete but to admit pseudo-polynomial time algorithms and, recently, algorithms running in near-linear pseudo-polynomial time were developed [9, 211. For the modular case, however, the best known algorithm by Koiliaris and Xu [21] runs in time 0̃ (m⁵/⁴). In this thesis we tackle this problem by devising a faster algorithm for the Modular Subset Sum problem, running in 0̃(m) randomized time, which matches a recent conditional lower bound of [1] based on the Strong Exponential Time Hypothesis. Interestingly, in contrast to most previous results on Subset Sum, our algorithm does not use the Fast Fourier Transform. Instead, it is able to simulate the "textbook" Dynamic Programming algorithm much faster, using ideas from linear sketching. This is one of the first applications of sketching-based techniques to obtain fast algorithms for exact combinatorial problems in an offline setting.
by Kyriakos Axiotis.
S.M.
S.M. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
Grenier, Ashley Lynn. "Conceptual understanding and the use of hand-sketching in mechanical engineering design." College Park, Md. : University of Maryland, 2008. http://hdl.handle.net/1903/8309.
Full textThesis research directed by: Dept. of Mechanical Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
Razenshteyn, Ilya. "High-dimensional similarity search and sketching : algorithms and hardness." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113934.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 241-255).
We study two fundamental problems that involve massive high-dimensional datasets: approximate near neighbor search (ANN) and sketching. We obtain a number of new results including: ' An algorithm for the ANN problem over the ℓ₁ and ℓ₂ distances that, for the first time, improves upon the Locality-Sensitive Hashing (LSH) framework. The key new insight is to use random space partitions that depend on the dataset. ' An implementation of the core component of the above algorithm, which is released as FALCONN: a new C++ library for high-dimensional similarity search. ' An efficient algorithm for the ANN problem over any distance that can be expressed as a symmetric norm. ' For norms, we establish the equivalence between the existence of short and accurate sketches and good embeddings into ℓp spaces for 0 < p by Ilya Razenshteyn.
Ph. D.
Weisman, Luke 1974. "A foundation for intelligent multimodal drawing and sketching programs." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/9489.
Full textIncludes bibliographical references (p. 76-77).
Computers should be able to assist an engineer or designer at all stages of design without chasing the engineer away or frustrating her. In order for this to occur, the computer needs to be able to understand what the engineer is doing and provide unobtrusive help. Furthermore the engineer needs to be able to interact with the computer in a natural manner. To support this design methodology I implement a foundation on which a programmer can make such applications. I provide two illustrative applications which demonstrate the foundation's power.
by Luke Weisman.
S.M.
Hie, Brian. "Stitching and sketching large-scale single-cell transcriptomic data." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121734.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 57-65).
Researchers are generating single-cell RNA sequencing (scRNA-seq) profiles of diverse biological systems [1]-[7] and every cell type in the human body [8] at an unprecedented scale, with scRNA-seq experiments regularly profiling gene expression in hundreds of thousands or even millions of cells [9]. Leveraging this data to gain unprecedented insight into biology and disease requires algorithms that can scale to the tremendous amount of data being generated and can integrate information across multiple experiments, laboratories, and technologies. Here, we present two algorithms that aim to aid researchers in gaining better insight from scRNA-seq data sets. The first, Scanorama, inspired by algorithms for panorama stitching, achieves accurate integration of heterogeneous scRNA-seq data sets, which we use to integrate a number of large and complex collections of data sets. The second algorithm, geometric sketching, is a sampling approach that aims to evenly cover the low-dimensional manifold spanned by the cells to capture more of the rare transcriptional structure than would uniform subsampling with equal probability for each cell, obtaining sketches that better capture the transcriptional heterogeneity of the original data. Moreover, geometric sketching can be used to improve the computational efficiency of algorithms for single-cell integration, including Scanorama. We anticipate that both algorithms will play an important role in the analysis and interpretation of large-scale single-cell transcriptomic data sets.
by Brian Hie.
S.M.
S.M. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
Books on the topic "Engineering Sketching"
Duff, Jon M. Freehand sketching for engineering design. Boston,Mass: PWS Publishing Co, 1994.
Find full text1947-, Ross Willliam A., ed. Freehand sketching for engineering design. Boston: PWS Pub. Co., 1995.
Find full textRoselien, Steur, ed. Sketching: The basics. Amsterdam: BIS, 2011.
Find full textE, O'Hagan Robert, ed. Technical sketching: For engineers, technologists, and technicians. 2nd ed. Englewood Cliffs, N.J: Prentice Hall, 1990.
Find full textBesterfield, Dale H. Technical sketching with an introduction to CAD: For engineers, technologists, and technicians. 3rd ed. Upper Saddle River, N.J: Prentice Hall, 1998.
Find full textMerwe, Errol van der, and Charles Potter. Engineering Sketching. Witwatersrand University Press, 1999.
Find full textDuff, John M., and William A. Ross. Freehand Sketching for Engineering Design (General Engineering). Wadsworth Publishing Company, 1994.
Find full textEngineering Graphics Technical Sketching. SDC Publications, 2004.
Find full textRoss, William A., and Jon M. Duff. Sketching for Engineering Design Visualization. Delmar Cengage Learning, 2008.
Find full textBooks, Emma Mom. Isometric Graph Paper: For Engineering Sketching. Independently Published, 2018.
Find full textBook chapters on the topic "Engineering Sketching"
Ding, Huafeng, Wenjian Yang, and Andrés Kecskeméthy. "Automatic Sketching of Planar Kinematic Chains." In Springer Tracts in Mechanical Engineering, 119–39. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1508-6_9.
Full textLévy, Pierre. "Sketching Kansei Studies as a Complex Unit." In Emotional Engineering, Vol. 9, 67–77. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05867-7_7.
Full textGoldschmidt, Gabriela. "Manual Sketching: Why Is It Still Relevant?" In Philosophy of Engineering and Technology, 77–97. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56466-1_4.
Full textDimovski, Aleksandar S. "Quantitative Program Sketching using Lifted Static Analysis." In Fundamental Approaches to Software Engineering, 102–22. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99429-7_6.
Full textSingh, Amrit Pal, Manuj Aggarwal, Harpuneet Singh, and Pankaj Bhambri. "Sketching of EV Network: A Complete Roadmap." In Lecture Notes in Civil Engineering, 431–42. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9554-7_37.
Full textWorinkeng, Emily, Joshua D. Summers, and Shraddha Joshi. "Can a Pre-sketching Activity Improve Idea Generation?" In Lecture Notes in Production Engineering, 583–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-30817-8_57.
Full textCalavia, M. Belén, Teresa Blanco, Ana Serrano, Anna Biedermann, and Roberto Casas. "Think-Sketch-Create: Improving Creative Expression Through Sketching." In Advances on Mechanics, Design Engineering and Manufacturing IV, 1585–97. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15928-2_138.
Full textHilton, Ethan, Blake Williford, Wayne Li, Tracy Hammond, and Julie Linsey. "Teaching Engineering Students Freehand Sketching with an Intelligent Tutoring System." In Human–Computer Interaction Series, 135–48. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17398-2_9.
Full textWetzel, Jon, and Ken Forbus. "Increasing Student Confidence in Engineering Sketching via a Software Coach." In Human–Computer Interaction Series, 107–18. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15594-4_11.
Full textYang, Haiyan, Cuixia Ma, Dongxing Teng, Guozhong Dai, and Hongan Wang. "Adaptive User Interactive Sketching for Teaching Based on Pen Gesture." In Engineering Psychology and Cognitive Ergonomics, 232–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73331-7_25.
Full textConference papers on the topic "Engineering Sketching"
d'Amorim, Marcelo, Rui Abreu, and Carlos Mello. "Visual sketching." In ICSE '20: 42nd International Conference on Software Engineering. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3377816.3381745.
Full textHilton, Ethan, Wayne Li, Sunni H. Newton, Meltem Alemdar, Raghuram Pucha, and Julie Linsey. "The Development and Effects of Teaching Perspective Free-Hand Sketching in Engineering Design." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60250.
Full textBoness, Kenneth, and Rachel Harrison. "Goal Sketching: Towards Agile Requirements Engineering." In International Conference on Software Engineering Advances (ICSEA 2007). IEEE, 2007. http://dx.doi.org/10.1109/icsea.2007.36.
Full textRuocco, Ashley, Sophoria Westmoreland, and Linda C. Schmidt. "Sketching in Design: Easily Influencing Behavior." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87503.
Full textCham, Jorge G., and Maria C. Yang. "Does Sketching Skill Relate to Good Design?" In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85499.
Full textLi, Qiang, Xianfei Zhao, Changfu Zhao, and Yongjian Gong. "3D Sketching in AutoSketch." In Mechanical Engineering and Information Technology (EMEIT). IEEE, 2011. http://dx.doi.org/10.1109/emeit.2011.6022909.
Full textHilton, Ethan C., Taylor Gamble, Wayne Li, Tracy Hammond, and Julie S. Linsey. "Back to Basics: Sketching, Not CAD, Is the Key to Improving Essential Engineering Design Skills." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-86325.
Full textBooth, Joran W., Abhinav K. Bhasin, and Karthik Ramani. "Art Meets Engineering Design: An Approach for Reducing Sketch Inhibition in Engineers During the Design Process." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-35278.
Full textBook, Matthias, and André van der Hoek. "Sketching with a purpose." In ICSE '18: 40th International Conference on Software Engineering. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3195836.3195854.
Full textRusu, Florin, and Alin Dobra. "Sketching Sampled Data Streams." In 2009 IEEE 25th International Conference on Data Engineering (ICDE). IEEE, 2009. http://dx.doi.org/10.1109/icde.2009.31.
Full text