Relevant bibliographies by topics / Induction

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Induction'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2024

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Journal articles on the topic "Induction"

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Jacobson, A. G., and A. K. Sater. "Features of embryonic induction." Development 104, no. 3 (November 1, 1988): 341–59. http://dx.doi.org/10.1242/dev.104.3.341.

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The patterned distribution of different organs in the amphibian embryo begins with the establishment of two domains, the animal and vegetal regions, that differ in developmental potency. Differences amplify as inductive interactions occur across boundaries between areas of different potency. Embryonic induction establishes a temporally and spatially dynamic area of developmental potency - a morphogenetic field. The final arrangement and differentiation of cell types within the field emerge from subsequent interactions occurring primarily within the field. These principles are illustrated in a review of the induction of the lens and the heart. Recent studies show that the induction of the lens of the eye and the induction of the heart begin early in development. Most of lens inductions occurs before the formation of the optic vesicle, and the heart appears to be part of a complex of dorsal structures whose formation is dependent upon the establishment of the dorsoventral axis. Suppressive as well as inductive tissue interactions occur during the determination of both of these organs, affecting their position and time of appearance. The complex processes of induction defined by the past nine decades of experimental work present many challenging questions that can now be addressed, especially in terms of the molecular events, cellular behaviour and regulatory physiology of the responding tissue.
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Redžić, D. V. "Maxwell's inductions from Faraday's induction law." European Journal of Physics 39, no. 2 (February 16, 2018): 025205. http://dx.doi.org/10.1088/1361-6404/aa9ec4.

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Schatz, Jonathan, Nadia Stennes-Spidahl, Samantha Mills, and Aaron J. Loehrlein. "Bibliographic Induction: How KO Systems Optimize Browsing by Supporting Library Users' Prior Knowledge." NASKO 4, no. 1 (October 31, 2013): 163. http://dx.doi.org/10.7152/nasko.v4i1.14657.

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<p>We investigate category-based induction as an aspect of browsing a library collection. Category-based induction is one of the primary uses of categories that are stored in memory. Knowledge organizing systems represent concepts in broadly the same way as models of category-based induction. Accordingly, it is reasonable to suppose that knowledge organizing systems facilitate category-based inductions about the collections that they organize. The processes of familiarization<em> </em>and differentiation<em> </em>are key aspects of browsing (Ellis 1989). Intuitively, these approaches appear to involve category-based induction in a bibliographic context. By examining<em> </em>induction, we hope to shed new light on the role of knowledge organizing systems in shaping browsing behavior. We also seek to investigate the viability of using inductive confidence as a dependent variable in assessing the utility of a KOS. A system that supports induction is potentially of great benefit to people seeking to browse a collection, whether the collection exists virtually or is part of a library’s physical stacks.</p>
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Hutter, H., and R. Schnabel. "Specification of anterior-posterior differences within the AB lineage in the C. elegans embryo: a polarising induction." Development 121, no. 5 (May 1, 1995): 1559–68. http://dx.doi.org/10.1242/dev.121.5.1559.

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In a C. elegans embryo the third cleavages of descendants of the anterior blastomere AB of the 2-cell stage create pairs of blastomeres that develop differently. By laser ablation experiments we show that the fates of all the posterior daughters of this division depend on an induction occurring three cleavages before these blastomeres are born. The time of induction precludes a direct effect on cell fate. Alternatively, we suggest that the induction creates a heritable cell polarity which is propagated through several divisions. We suggest a model to demonstrate how a signal could be propagated through several rounds of cell division. An important implication of our observations is that this early induction acts to specify blastomere identity, not tissue type. A detailed lineage analysis revealed that altering the inductive signal alters complex lineage patterns as a whole. The induction described here, together with two inductions described previously can be used to illustrate how the anterior portion of the C. elegans embryo can be successively subdivided into blastomeres with unique developmental potential.
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Johansson, Lars-Göran. "Induction and Epistemological Naturalism." Philosophies 3, no. 4 (October 18, 2018): 31. http://dx.doi.org/10.3390/philosophies3040031.

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Epistemological naturalists reject the demand for a priori justification of empirical knowledge; no such thing is possible. Observation reports, being the foundation of empirical knowledge, are neither justified by other sentences, nor certain; but they may be agreed upon as starting points for inductive reasoning and they function as implicit definitions of predicates used. Making inductive generalisations from observations is a basic habit among humans. We do that without justification, but we have strong intuitions that some inductive generalisations will fail, while for some other we have better hopes. Why? This is the induction problem according to Goodman. He suggested that some predicates are projectible when becoming entrenched in language. This is a step forward, but not entirely correct. Inductions result in universally generalised conditionals and these contain two predicates, one in the antecedent, one in the consequent. Counterexamples to preliminary inductive generalisations can be dismissed by refining the criteria of application for these predicates. This process can be repeated until the criteria for application of the predicate in the antecedent includes the criteria for the predicate in the consequent, in which case no further counterexample is possible. If that is the case we have arrived at a law. Such laws are implicit definitions of theoretical predicates. An accidental generalisation has not this feature, its predicates are unrelated. Laws are said to be necessary, which may be interpreted as ‘“Laws” are necessarily true’. ‘Necessarily true’ is thus a semantic predicate, not a modal operator. In addition, laws, being definitions, are necessarily true in the sense of being necessary assumptions for further use of the predicates implicitly defined by such laws. Induction, when used in science, is thus our way of inventing useful scientific predicates; it is a heuristic, not an inference principle.
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Sterkenburg, Tom F. "THE META-INDUCTIVE JUSTIFICATION OF INDUCTION." Episteme 17, no. 4 (February 7, 2019): 519–41. http://dx.doi.org/10.1017/epi.2018.52.

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ABSTRACTI evaluate Schurz's proposed meta-inductive justification of induction, a refinement of Reichenbach's pragmatic justification that rests on results from the machine learning branch of prediction with expert advice.My conclusion is that the argument, suitably explicated, comes remarkably close to its grand aim: an actual justification of induction. This finding, however, is subject to two main qualifications, and still disregards one important challenge.The first qualification concerns the empirical success of induction. Even though, I argue, Schurz's argument does not need to spell out what inductive method actually consists in, it does need to postulate that there is something like the inductive or scientific prediction strategy that has so far been significantly more successful than alternative approaches. The second qualification concerns the difference between having a justification for inductive method and for sticking with induction for now. Schurz's argument can only provide the latter. Finally, the remaining challenge concerns the pool of alternative strategies, and the relevant notion of a meta-inductivist's optimality that features in the analytic step of Schurz's argument. Building on the work done here, I will argue in a follow-up paper that the argument needs a stronger dynamic notion of a meta-inductivist's optimality.
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Buntine, Wray. "Inductive knowledge acquisition and induction methodologies." Knowledge-Based Systems 2, no. 1 (March 1989): 52–61. http://dx.doi.org/10.1016/0950-7051(89)90008-7.

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Yagola, G. K., D. R. Vasil'ev, and Yu I. Kazantsev. "Hyperconducting inductive measure of magnetic induction." Measurement Techniques 28, no. 5 (May 1985): 401–4. http://dx.doi.org/10.1007/bf00864929.

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Philp, Cassie, Barbara Geller, and Fiona Alexander. "Psychiatric Induction Programme in Fife." BJPsych Open 8, S1 (June 2022): S170. http://dx.doi.org/10.1192/bjo.2022.475.

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AimsTo improve the Psychiatry induction for DiTs in Fife.MethodsThe purpose of induction is to provide Doctors in Training (DiT) with a smooth, supported transition between roles. Delivered well, it will promote confidence and also provide a thorough grounding in the key requirements of the role and clarity regarding sources of help.A recent report, commissioned by the GMC, identified the key areas which should be covered in induction. The findings demonstrated a clear link between inadequate inductions to the impact on doctors’ well-being and patient safety issues.A questionnaire was issued to DiTs completing Psychiatry inductions in August and December 2021. Questions focused on the following key areas highlighted in the GMC report: •Gaining access to workplace settings and systems•Physical orientation of workplace•Team inductions•Daytime role and out of hours working and rotas.•Familiarisation with common cases/procedures that doctors may deal with in this speciality: risk management, use of the MHAResultsQuestionnaire Results: Key Issues highlightedAugust 2021 •FY2 to ST6 inducted together: differing experience levels•Differences in site inductions (psychiatry is spread across 3 hospitals in Fife)•Issues obtaining swipe cards/keys•IT access for emails and various computer systems delayed•Computer systems training not doneDecember 2021 •Lack of psychiatry experience of FY2s•Continued IT access issues initiallyConclusionIn September 2021, a working group was established comprising DiT representatives and those responsible for induction. The August 2021 results were disseminated and key improvements were identified in areas covered by the clinical induction: •An improved induction check list universal for all sites.•Induction documents for each role detailing responsibilities and useful information.•Integration of IT training.The December results highlighted improvements in many areas but continued a theme of concerns for FY2s starting in Psychiatry. The transition to this speciality is a significant adjustment as it operates differently to most specialities, requiring different skills and knowledge.Plans have been made to provide simulation events which would give DiTs practical experience in a safe environment of various topics e.g., risk management in psychiatry. Additionally, there are plans to revise induction for speciality trainees.
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Kalkanis, G., and G. V. Conroy. "Principles of induction and approaches to attribute based induction." Knowledge Engineering Review 6, no. 4 (December 1991): 307–33. http://dx.doi.org/10.1017/s0269888900005920.

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AbstractThis paper presents a survey of machine induction, studied mainly from the field of artificial intelligence, but also from the fields of pattern recognition and cognitive psychology. The paper consists of two parts: Part I discusses the basic principles and features of the machine induction process; Part II uses these principles and features to review and criticize the major supervised attribute-based induction methods. Attribute-based induction has been chosen because it is the most commonly used inductive approach in the development of expert systems and pattern recognition models.
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Dissertations / Theses on the topic "Induction"

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Lembke, Torbjörn A. "Induction bearings." Licentiate thesis, KTH, Electrical Systems, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-1558.

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A self stabilizing homopolar induction bearing withintegrated touch down bearings has been developed forhigh-speed applications like flywheels, small gas turbines andcompact vacuum cleaners.

Stability is achieved without any control electronics thanksto stabilizing eddy currents induced by permanent magnets. Eddycurrent losses are reduced to a minimum using a homopolardesign with ring magnets instead of multipole or halbacharrays.

The bearing currents and forces are simulated using steadystate 3D-FEM analysis, which is enabled thanks to theimplemented Minkowskij transform. From these results ananalytical model has been developed, and the results arecompared.

Efforts are made to develop a qualitative understanding ofthe bearing physics. Results are converted into usefulrotordynamic data that is easily understood by machineengineers.

Finally some experiences from the first experimental testruns at 90.000 RPM are discussed.

Keywords:Magnetic bearing, eddy current, inductionbearing, eddy current bearing, high speed, homopolar, gasturbine, flywheel

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Kane, J. P. "Lightness induction." Thesis, Queen's University Belfast, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.432597.

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Wedin, Hanna. "Mathematical Induction." Thesis, Uppsala universitet, Algebra och geometri, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414099.

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KUSAKARI, Keiichirou, Masahiko SAKAI, and Toshiki SAKABE. "Primitive Inductive Theorems Bridge Implicit Induction Methods and Inductive Theorems in Higher-Order Rewriting." IEICE, 2005. http://hdl.handle.net/2237/9580.

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Stahl, Frederic Theodor. "Parallel rule induction." Thesis, University of Portsmouth, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.508872.

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Classification rule induction on large datasets is a major challenge in the field of data mining in a world where massive amounts of data are recorded on a large scale. There are two main approaches to classification rule induction; the 'divide and conquer' approach and the 'separate and conquer' approach. Even though both approaches deliver a comparable classification accuracy, they differ when it comes to rule representation and quality of rules in certain circumstances. There is the intuitive representation of classification rules in the form of a tree when using the 'divide and conquer' approach which is easy to assimilate by humans. However, modular rules induced by the 'separate and conquer' approach generally perform better in environments where the training data of the classifier is noisy or contains clashes. The term 'modular rules' is used to mean any set of rules describing some domain of interest. They will generally not fit together naturally in a decision tree. Both approaches are challenged by increasingly large volumes of data. There have been several attempts to scale up the 'divide and conquer' approach, however there is very little work on scaling up the 'separate and conquer' approach. One general approach is to use supercomputers with faster hardware to process these huge amounts of data, yet modest-sized organisations may not be able to afford such hardware. However most organisations have local computer workstations that they use for many applications such as word processing or spreadsheets. These computer workstations are usually connected in a local network and mainly used during normal working hours and are usually idle overnight and at weekends. During these idle times these computer workstations connected in a network could be used for data mining applications on large datasets. This research focuses on a cheap solution for modest sized organisations that cannot afford fast supercomputers. For this reason this work aims to utilise the computational power and memory of a network of workstations. In this research a novel framework for scaling up modular classification rule induction is presented, based on a distributed blackboard architecture. The framework is called PMCRI (Parallel Modular Classification Rule Inducer). It provides an underlying communication infrastructure for parallelising a whole family of modular classification rule induction algorithms: the Prism family. Experimental results obtained show a good scale up behaviour on various datasets and thus confirm the success of PMCRI.
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Smith, Alan Arthur. "Remote asymmetric induction." Thesis, University of Kent, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.280317.

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González, Rodríguez Inés. "Automated prototype induction." Thesis, University of Bristol, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251139.

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Snow, Rion Langley. "Semantic taxonomy induction /." May be available electronically:, 2009. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Hill, Alexandra. "Reasoning by analogy in inductive logic." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/reasoning-by-analogy-in-inductive-logic(039622d8-ab3f-418f-b46c-4d4e7a9eb6c1).html.

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This thesis investigates ways of incorporating reasoning by analogy into Pure (Unary) Inductive Logic. We start with an analysis of similarity as distance, noting that this is the conception that has received most attention in the literature so far. Chapter 4 looks in some detail at the consequences of adopting Hamming Distance as our measure of similarity, which proves to be a strong requirement. Chapter 5 then examines various adaptations of Hamming Distance and proposes a subtle modification, further-away-ness, that generates a much larger class of solutions.
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Callegary, James Briggs. "Spatial sensitivity of low-induction-number frequency-domain electromagnetic-induction instruments." Diss., The University of Arizona, 2005. http://hdl.handle.net/10150/282901.

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Numerical simulations were used to study spatial averaging in low-induction-number frequency-domain electromagnetic induction (LIN FEM) instruments. Local ( LS) and cumulative (CS) sensitivity were used to analyze three different aspects of LIN FEM spatial sensitivity. LS is the variation in a measured property given a small change at a given location of the property of interest. CS contours are derived from LS and reveal the shape and the fraction of total instrument sensitivity enclosed within the contours. The first study re-evaluated the asymptotic approach to LIN FEM spatial sensitivity. Using this approach, LIN FEM measurements have often been assumed to represent electrical conductivity (sigma) at discreet depths that do not vary with the sigma of the ground. This assumption was tested using simulations of electromagnetic fields in environments with homogeneous and layered sigma distributions. When the induction number was greater than 0.01, the 1-D vertical CS distribution and the depth of investigation varied up to 20% over the range of sigma simulated. As sigma increased, CS contours and depth of investigation decreased in depth. In the second study a small perturbation approach was used to calculate CS distributions so that each distribution is unique to a given LS distribution. CS was summed from regions of high to low LS, and retained information on the magnitude and location of LS. As sigma increased, CS became focused around the highest LS values. The maximum reduction in depth of investigation was about 40% at the highest sigma investigated. In the final study, a series of small, electrically conductive perturbations was simulated in a three-dimensional, homogeneous environment. Three-dimensional LS varied markedly with a large difference between horizontal (HMD) and vertical (VMD) orientations of the transmitter and receiver dipoles. In some regions, the calculated magnetic field intensity with the perturbation was less than that calculated for the host without the perturbation. This occurred for both VMD and HMD orientations of the transmitter. CS contours were highly complex. One dimensional, vertical LS curves extracted from the three-dimensional data were very different from curves from infinite layer simulations.
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Books on the topic "Induction"

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Society, Industrial, ed. Induction. Birmingham: The Industrial Society, 1997.

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Watts-Davies, Ruth. Induction. 3rd ed. London: Industrial Society, 1989.

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Pajer, Bernadette. Fatal induction. Scottsdale, AZ: Poisoned Pen, 2012.

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Walkden, F. W. Induction heating. London: Electricity Association, 1991.

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Aigner, Karl Reinhard, and Frederick O. Stephens, eds. Induction Chemotherapy. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28773-7.

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Collins, Robert L., ed. Ovulation Induction. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-3026-7.

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Cohlen, Ben J. Ovulation Induction. Boca Raton : Taylor & Francis, 2017. | Series: Reproductive: CRC Press, 2016. http://dx.doi.org/10.1201/9781315381459.

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Amin, Bahram. Induction Motors. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04373-8.

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Takayama, Ken, and Richard J. Briggs, eds. Induction Accelerators. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-13917-8.

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Aigner, Karl Reinhard, and Frederick O. Stephens, eds. Induction Chemotherapy. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18173-3.

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Book chapters on the topic "Induction"

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Ben-Ari, Mordechai. "Induction." In Mathematical Surprises, 61–72. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13566-8_6.

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AbstractThe axiom of mathematical induction is used extensively as a method of proof in mathematics. This chapter presents inductive proofs of results that may not be known to the reader. We begin with a short review of mathematical induction (Sect. 6.1). Section 6.2 proves results about the familiar Fibonacci numbers while Sect. 6.3 proves results about Fermat numbers. Section 6.4 presents the 91-function discovered by John McCarthy; the proof is by induction on an unusual sequence: integers in an inverse ordering. The proof of the formula for the Josephus problem (Sect. 6.5) is also unusual because of the double induction on two different parts of an expression.
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Kovács, Laura, Petra Hozzová, Márton Hajdu, and Andrei Voronkov. "Induction in Saturation." In Automated Reasoning, 21–29. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-63498-7_2.

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AbstractProof by induction is commonplace in modern mathematics and computational logic. This paper overviews and discusses our recent results in turning saturation-based first-order theorem proving into a powerful framework for automating inductive reasoning. We formalize applications of induction as new inference rules of the saturation process, add instances of appropriate induction schemata to the search space, and use these rules and instances immediately upon their addition for the purpose of guiding induction. Our results show, for example, that many problems from formal verification and mathematical theories can now be solved completely automatically using a first-order theorem prover.
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Joshi, Mark. "Induction and Complete Induction." In Proof Patterns, 1–9. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16250-8_1.

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Heppner, John B., D. G. Boucias, J. C. Pendland, Andrei Sourakov, Timothy Ebert, Roger Downer, Kun Yan Zhu, et al. "Induction." In Encyclopedia of Entomology, 1924. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6359-6_1522.

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Ivanov, O. A. "Induction." In Easy as π?, 1–12. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-0553-1_1.

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Vivaldi, Franco. "Induction." In Springer Undergraduate Mathematics Series, 139–49. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6527-9_8.

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Goertzel, Ben. "Induction." In The Structure of Intelligence, 68–76. New York, NY: Springer New York, 1993. http://dx.doi.org/10.1007/978-1-4612-4336-6_6.

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Hall, Cordelia, and John O’Donnell. "Induction." In Discrete Mathematics Using a Computer, 163–84. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-3657-6_7.

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Childs, Lindsay N. "Induction." In A Concrete Introduction to Higher Algebra, 8–24. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4419-8702-0_2.

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McCaskey, John P. "Induction." In Encyclopedia of Renaissance Philosophy, 1–6. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-02848-4_1054-1.

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Conference papers on the topic "Induction"

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Stuehr, William I. "Understanding the Induction Hardening Circuit." In HT 2017. ASM International, 2017. http://dx.doi.org/10.31399/asm.cp.ht2017p0264.

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Abstract The objective of this paper is to provide an understanding of the electrical circuit for induction hardening. This includes the power supply, workstation, and inductor. Step by step procedures are provided using a commercial power supply and workstation as an example. The paper addresses questions such as: What is an inductor? How does the inductor connect to a scanner? How is quenching performed in induction? What is load tuning? How do I load tune an induction circuit? How does the induction power supply work? How do I verify induction hardening results? This paper also provides a brief history of induction hardening and discusses how the development of the technology impacts induction hardening today.
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Nagashima, Yutaka. "Faster Smarter Proof by Induction in Isabelle/HOL." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/273.

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We present sem_ind, a recommendation tool for proof by induction in Isabelle/HOL. Given an inductive problem, sem_ind produces candidate arguments for proof by induction, and selects promising ones using heuristics. Our evaluation based on 1,095 inductive problems from 22 source files shows that sem_ind improves the accuracy of recommendation from 20.1% to 38.2% for the most promising candidates within 5.0 seconds of timeout compared to its predecessor while decreasing the median value of execution time from 2.79 seconds to 1.06 seconds.
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Midea, Sandra J., and David Lynch. "Induction Hardening Inductors and Process Development." In HT 2017. ASM International, 2017. http://dx.doi.org/10.31399/asm.cp.ht2017p0197.

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Abstract Although great strides are being made in the simulation of induction patterns, most of today’s inductor design and validation activities are still done through experience and experimentation. This paper provides a brief overview of how an inductor is designed, fabricated, and prepared for integration into manufacturing. Each aspect of its manufacture is critical to deliver a hardening inductor capable of meeting engineering drawing requirements and to be ready for production. The paper covers determination of requirements, inductor design, fabrication and assembly, process development, inductor characterization, metallurgical validation, and delivery of a production-ready inductor. Each step is described, and important considerations for each are presented.
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Asher, G. M. "Sensorless induction motor drives." In IEE Seminar on Advances in Induction Motor Control. IEE, 2000. http://dx.doi.org/10.1049/ic:20000386.

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Atkinson, D. "Vector control of cascaded induction motors." In IEE Seminar on Advances in Induction Motor Control. IEE, 2000. http://dx.doi.org/10.1049/ic:20000384.

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Sato, Haruhiko, and Masahito Kurihara. "Discovering inductive theorems using rewriting induction." In 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2016. http://dx.doi.org/10.1109/smc.2016.7844370.

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Rudnev, Valery, William West, Aaron Goodwin, and Steve Fillip. "Breakthrough in Induction Hardening Shafts." In HT 2015. ASM International, 2015. http://dx.doi.org/10.31399/asm.cp.ht2015p0141.

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Abstract This presentation reviews selected innovations related to induction hardening of various automotive powertrain transmission and engine components, including but not limited to induction surface hardening of complex geometry shafts. Thanks to several innovative designs (patented and patent pending), important goals were achieved. Process flexibility in shaft scan hardening has been substantially enhanced thanks to a novel inverter design that allows controlling independently frequency and power during scanning. This innovation allows improving quality of induction hardened components maximizing production rate and process flexibility. When applying single-shot hardening for heat treatment of output shafts, flanged shafts, yoke shafts, sun shafts, intermediate shafts, drive shafts and others, coil life is often limited due to a necessity to “squeeze” coil current in a certain area, maximizing power density. This seemingly unavoidable feature of the great majority of single-shot inductors represents a “weak link”, limiting coil life expectancy. Thanks to innovative design (patent-pending) of a single-shot inductor, its life was increased approximately nine times. Process sensitivity has been dramatically reduced. Other benefits include measurable improvement in process robustness, coil reliability and maintainability.
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Midea, Sandra J. "Metallurgical Case Studies of Induction Hardening." In HT 2017. ASM International, 2017. http://dx.doi.org/10.31399/asm.cp.ht2017p0258.

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Abstract Several case studies are presented illustrating issues that may be encountered when developing induction heat treating processes. The relationship of how induction heat treating parameters affect the metallurgy of production parts is examined in the form of case studies. These include the importance of normalized versus anneal starting microstructure as it relates to the ability of pearlite to transform to martensite within the short induction hardening process window. The influence of a non-uniform microstructure with proeutectoid grain boundary ferrite is discussed as it relates to prior structure. A team approach to balancing design specification with manufacturing cost and sound metallurgical practice is covered for an AISI 1060 steel channel component with complex inductor design. Another case study addresses how evaluating hardness in the as-quenched versus tempered condition can provide additional detail relating to back tempering in tooth by tooth hardened gears. The final example is the influence of frequency of case depth formation for an AISI 4140 cross roller section.
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Russell, Collin. "Design and Validation of Induction Heat Treatment Processes Utilizing 2D & 3D Computer Simulation." In HT 2015. ASM International, 2015. http://dx.doi.org/10.31399/asm.cp.ht2015p0082.

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Abstract This paper will address practical aspects of developing induction heat treatment processes – induction hardening processes in particular. Examples will be presented to illustrate methods of improving inductor and process designs utilizing computer simulation. A number of everyday challenges encountered by heat treatment practitioners will be addressed, specifically challenges related to metallurgical and mechanical quality. The value of utilizing computer simulation will be demonstrated in these real-world solutions through the revelation of subtle facets of induction heat treatment that cannot otherwise be physically observed or measured.
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Levi, E. "Induction motor sensorless vector control in the field weakening region." In IEE Seminar on Advances in Induction Motor Control. IEE, 2000. http://dx.doi.org/10.1049/ic:20000383.

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Reports on the topic "Induction"

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Woods, Patricia. Livelihoods induction pack. Evidence on Demand, September 2013. http://dx.doi.org/10.12774/eod_ipl_sept2013_woods.

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Faltens, Andris. Induction Linac Pulsers. Office of Scientific and Technical Information (OSTI), January 2011. http://dx.doi.org/10.2172/1005003.

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Berning, Paul R., and Charles R. Hummer. Magnetic Induction Launcher Models. Fort Belvoir, VA: Defense Technical Information Center, June 1997. http://dx.doi.org/10.21236/ada329260.

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Fessenden, T. J. Diagnostics for induction accelerators. Office of Scientific and Technical Information (OSTI), April 1996. http://dx.doi.org/10.2172/272523.

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Hernandez, M. A., G. Kamin, R. Hanks, W. Sharp, G. Duncan, C. Sangster, L. Ahle, et al. Technologies for Advanced Induction Accelerators. Office of Scientific and Technical Information (OSTI), April 2000. http://dx.doi.org/10.2172/792329.

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McJunkin, Timothy R., Vivek Agarwal, and Nancy Jean Lybeck. Online Monitoring of Induction Motors. Office of Scientific and Technical Information (OSTI), January 2016. http://dx.doi.org/10.2172/1239881.

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Swingle, J. C., ed. High average power induction accelerators. Office of Scientific and Technical Information (OSTI), October 1985. http://dx.doi.org/10.2172/6441461.

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Laughlin, Patrick R. A Theory of Collective Induction. Fort Belvoir, VA: Defense Technical Information Center, January 1989. http://dx.doi.org/10.21236/ada205062.

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Birx, D. L. Induction linacs as radiation processors. Office of Scientific and Technical Information (OSTI), April 1986. http://dx.doi.org/10.2172/5280632.

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Birx, D. L., G. J. Caporaso, and L. L. Reginato. Linear induction accelerator parameter options. Office of Scientific and Technical Information (OSTI), April 1986. http://dx.doi.org/10.2172/5331064.

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