Relevant bibliographies by topics / Machines

Academic literature on the topic 'Machines'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 July 2024

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Journal articles on the topic "Machines"

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M. Brandao, Iago, and Cesar da Costa. "FAULT DIAGNOSIS OF ROTARY MACHINES USING MACHINE LEARNING." Eletrônica de Potência 27, no. 03 (September 22, 2022): 1–8. http://dx.doi.org/10.18618/rep.2022.3.0013.

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Fischer, Peer. "A machine from machines." Nature Physics 14, no. 11 (July 23, 2018): 1072–73. http://dx.doi.org/10.1038/s41567-018-0247-0.

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Caye, Pierre. "La machine des machines." Le Visiteur N° 27, no. 1 (March 1, 2022): 19–24. http://dx.doi.org/10.3917/visit.027.0020.

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La ville est la grande affaire de notre temps. Depuis 2008, plus de la moitié de la population mondiale vit en ville. Et nous serons probablement près de 60 % en 2030. L’attraction démographique de la ville est renforcée par son dynamisme économique. Elle est devenue le lieu central de la production et de l’innovation, le cœur du système productif et de son organisation économique. La ville contemporaine apparaît d’abord comme un mégasystème technique, le système des systèmes, l’infrastructure qui rassemble à la fois les superstructures et les autres infrastructures ou, mieux encore, la machine des machines qui interconnecte les différents réseaux structurant la vie urbaine. Mais la machine des machines n’est pas un moyen de production comme un autre, du même ordre que les machines qu’elle coordonne. La ville donne un autre sens à la notion de machine, et c’est pourquoi elle est appelée à jouer un rôle fondamental dans la transformation productive, à partir du moment du moins où est prise en compte la spécificité de sa conception et de son intelligence.
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Zhang, Yongdeng, María Lara-Tejero, Jörg Bewersdorf, and Jorge E. Galán. "Visualization and characterization of individual type III protein secretion machines in live bacteria." Proceedings of the National Academy of Sciences 114, no. 23 (May 22, 2017): 6098–103. http://dx.doi.org/10.1073/pnas.1705823114.

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Type III protein secretion machines have evolved to deliver bacterially encoded effector proteins into eukaryotic cells. Although electron microscopy has provided a detailed view of these machines in isolation or fixed samples, little is known about their organization in live bacteria. Here we report the visualization and characterization of theSalmonellatype III secretion machine in live bacteria by 2D and 3D single-molecule switching superresolution microscopy. This approach provided access to transient components of this machine, which previously could not be analyzed. We determined the subcellular distribution of individual machines, the stoichiometry of the different components of this machine in situ, and the spatial distribution of the substrates of this machine before secretion. Furthermore, by visualizing this machine inSalmonellamutants we obtained major insights into the machine’s assembly. This study bridges a major resolution gap in the visualization of this nanomachine and may serve as a paradigm for the examination of other bacterially encoded molecular machines.
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Ikegami, Takashi, and Takashi Hashimoto. "Active Mutation in Self-Reproducing Networks of Machines and Tapes." Artificial Life 2, no. 3 (April 1995): 305–18. http://dx.doi.org/10.1162/artl.1995.2.3.305.

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Self-reproduction via description is discussed in a network model of machines and description tapes. Tapes consist of bit strings, which encode the machines' function. A tape is replicated when it is read by adequate machines. Generally, a machine rewrites a tape without doing correct replication. The variation in a reproduced tape is taken as mutation. Because this mutation is caused by a machine's program, we call it active mutation. Which machine is translated from a given tape is dependent on what kind of a machine reads the tape. External noise is introduced in a machine's reading process to make errors. A new reaction pathway is induced by external noise via a machine's error action. We find that the induced pathways will be mimicked deterministically in an emerging core structure. This core structure will remain stable after turning off external noise. Low external noise develops a core structure of a minimal self-replicative loop. When external noise is elevated, a more complex network evolves. Machines containing a complex core network, which has been bred in high external noise, will actively rewrite tapes rather than just replicate them. Self-replication not as an individual but as a network now becomes important.
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Sabeti, Behnam, Hossein Abedi Firouzjaee, Reza Fahmi, Saeid Safavi, Wenwu Wang, and Mark D. Plumbley. "Credit Risk Rating Using State Machines and Machine Learning." International Journal of Trade, Economics and Finance 11, no. 6 (December 2020): 163–68. http://dx.doi.org/10.18178/ijtef.2020.11.6.683.

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Credit risk is the possibility of a loss resulting from a borrower’s failure to repay a loan or meet contractual obligations. With the growing number of customers and expansion of businesses, it’s not possible or at least feasible for banks to assess each customer individually in order to minimize this risk. Machine learning can leverage available user data to model a behavior and automatically estimate a credit score for each customer. In this research, we propose a novel approach based on state machines to model this problem into a classical supervised machine learning task. The proposed state machine is used to convert historical user data to a credit score which generates a data-set for training supervised models. We have explored several classification models in our experiments and illustrated the effectiveness of our modeling approach.
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Usubamatov, R., and R. Bhuvenesh. "Method of Assessing the Number of Technicians in Service of Manufacturing System." Journal for Manufacturing Science and Production 15, no. 3 (September 15, 2015): 243–48. http://dx.doi.org/10.1515/jmsp-2015-0005.

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AbstractProductivity rate of manufacturing systems depends on technology, reliability of machinery, management, etc. The main attribute of machine’s reliability, which is availability plays important role for determination of the number of technicians that support the workability of the multi-stations the manufacturing system. The random downtimes of the productive machines have probabilistic nature. Failures of machines can coincide that lead to increasing downtimes and decreasing output of machinery. Practically, a technician conducts repairs of failures for one machine, but at the same time other failed machines can be in downtime until the failed machine in servicing. This situation leads to increase idle time of machines and hence a manufacturing system. How many machines should be in service by one technician is typical problem for industries. The proposed paper is represented the mathematical method with probabilistic approach for determining the number of technicians for servicing the manufacturing systems with minimum downtimes.
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Awah, Chukwuemeka Chijioke, and Ogbonnaya Inya Okoro. "Torque characteristics of double-stator permanent magnet synchronous machines." Archives of Electrical Engineering 66, no. 4 (December 20, 2017): 815–28. http://dx.doi.org/10.1515/aee-2017-0062.

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Abstract The torque profile of a double-stator permanent magnet (PM) synchronous machine of 90 mm stator diameter having different rotor pole numbers as well as dual excitation is investigated in this paper. The analysis includes a comparative study of the machine’s torque and power-speed curves, static torque and inductance characteristics, losses and unbalanced magnetic force. The most promising flux-weakening potential is revealed in 13- and 7-rotor pole machines. Moreover, the machines having different rotor/stator (Nr/Ns) pole combinations of the form Nr = Ns ± 1 have balanced and symmetric static torque waveforms variation with the rotor position in contrast to the machines having Nr = Ns ± 2. Further, the inductance results of the analyzed machines reveal that the machines with odd rotor pole numbers have better fault-tolerant capability than their even rotor pole equivalents. A prototype of the developed double-stator machine having a 13-pole rotor is manufactured and tested for verification.
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Ji Chan, Yum. "Improvements to Linear and Nonlinear Models of Machine Key Components." Impact 2021, no. 1 (February 5, 2021): 15–17. http://dx.doi.org/10.21820/23987073.2021.1.15.

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Precision machinery has come a long way over the years. Factories that once relied on manpower now use machines, and this development has brought with it innumerable benefits including improvements to accuracy, repeatability, productivity and efficiency. Naturally, though, machines are imperfect in that precision of a batch of machines vary slightly. On top of that, machines experience wear and tear or even break-downs. These unpredictable events can be costly to manufacturers. This is why research to better understand factors that affect a machine's precision is important. This knowledge can be used to reduce the issues that occur with machine tools and thereby maximise the efficiency and quality of production. This is the goal of Dr Yum-Ji Chan, Department of Mechanical Engineering, National Chung Hsing University, Taiwan. His research on vibration engineering, structural dynamics and the dynamics of rotors is seeking to better understand machine tools and, in doing so, improve their performance. He believes more research is required to understand the behaviour of specific components in machine tools, and he is seeking to fill this gap in knowledge. This involves understanding the vibration phenomena that occur in components in machine tools and, to do so, Chan and his team are producing accurate dynamic behaviour in machine tool models. This will, in turn, enable researchers to develop virtual machine tools that can monitor the condition of machines.
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Chen, Yizhi, Guishu Zhao, Zhengliang Li, Zhe Chang, Shuye Ding, and Yuheng Zhou. "Electromagnetic Performance Analysis of Dual-Three-Phase Dual-Rotor Flux-Switching Permanent Magnet Machines." Energies 17, no. 9 (April 28, 2024): 2102. http://dx.doi.org/10.3390/en17092102.

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In this paper, a novel dual-three-phase dual-rotor flux-switching permanent magnet (PM) (DRFSPM) machine, building upon conventional FSPM machines, is proposed, where the stator is equipped with dual PMs and dual armature windings, enabling it to operate in various working modes and provide fault tolerance in the event of PM or armature winding faults. Depending on the magnetization directions of the PMs, the proposed DRFSPM machine’s structure can be categorized as 6N-DRFSPM or NS-DRFSPM. In order to assess the electromagnetic performance of the proposed DRFSPM machines with two different magnetizing modes, the topology and operating principle of the two DRFSPM machines are introduced first. Then, the no-load air-gap flux density of the two proposed machines is investigated for a more optimized and purposeful design. Finally, a comparison of the electromagnetic performance between the two proposed DRFSPM machines is conducted by finite-element analysis (FEA), and the FEA-predicted results indicate that the proposed 6N-DRFSPM machine outperforms the NS-DRFSPM machine, as it exhibits a larger back-EMF and average torque and a smaller cogging torque and torque ripple.
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Dissertations / Theses on the topic "Machines"

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Tebbifakhr, Amirhossein. "Machine Translation For Machines." Doctoral thesis, Università degli studi di Trento, 2021. http://hdl.handle.net/11572/320504.

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Traditionally, Machine Translation (MT) systems are developed by targeting fluency (i.e. output grammaticality) and adequacy (i.e. semantic equivalence with the source text) criteria that reflect the needs of human end-users. However, recent advancements in Natural Language Processing (NLP) and the introduction of NLP tools in commercial services have opened new opportunities for MT. A particularly relevant one is related to the application of NLP technologies in low-resource language settings, for which the paucity of training data reduces the possibility to train reliable services. In this specific condition, MT can come into play by enabling the so-called “translation-based” workarounds. The idea is simple: first, input texts in the low-resource language are translated into a resource-rich target language; then, the machine-translated text is processed by well-trained NLP tools in the target language; finally, the output of these downstream components is projected back to the source language. This results in a new scenario, in which the end-user of MT technology is no longer a human but another machine. We hypothesize that current MT training approaches are not the optimal ones for this setting, in which the objective is to maximize the performance of a downstream tool fed with machine-translated text rather than human comprehension. Under this hypothesis, this thesis introduces a new research paradigm, which we named “MT for machines”, addressing a number of questions that raise from this novel view of the MT problem. Are there different quality criteria for humans and machines? What makes a good translation from the machine standpoint? What are the trade-offs between the two notions of quality? How to pursue machine-oriented objectives? How to serve different downstream components with a single MT system? How to exploit knowledge transfer to operate in different language settings with a single MT system? Elaborating on these questions, this thesis: i) introduces a novel and challenging MT paradigm, ii) proposes an effective method based on Reinforcement Learning analysing its possible variants, iii) extends the proposed method to multitask and multilingual settings so as to serve different downstream applications and languages with a single MT system, iv) studies the trade-off between machine-oriented and human-oriented criteria, and v) discusses the successful application of the approach in two real-world scenarios.
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Dinakar, Karthik. "Lensing Machines : representing perspective in machine learning." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112523.

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Thesis: Ph. D., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2017.
Cataloged from PDF version of thesis. Due to the condition of the original material with text runs off the edges of the pages, the reproduction may have unavoidable flaws.
Includes bibliographical references (pages 167-172).
Generative models are venerated as full probabilistic models that randomly generate observable data given a set of latent variables that cannot be directly observed. They can be used to simulate values for variables in the model, allowing analysis by synthesis or model criticism, towards an iterative cycle of model specification, estimation, and critique. However, many datasets represent a combination of several viewpoints - different ways of looking at the same data that leads to various generalizations. For example, a corpus that has data generated by multiple people may be mixtures of several perspectives and can be viewed with different opinions by others. It isn't always possible to represent the viewpoints by clean separation, in advance, of examples representing each perspective and train a separate model for each point of view. In this thesis, we introduce lensing, a mixed-initiative technique to (i) extract lenses or mappings between machine-learned representations and perspectives of human experts, and (2) generate lensed models that afford multiple perspectives of the same dataset. We explore lensing of latent variable model in their configuration, parameter and evidential spaces. We apply lensing to three health applications, namely imbuing the perspectives of experts into latent variable models that analyze adolescent distress and crisis counseling.
by Karthik Dinakar.
Ph. D.
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Le, Flohic Julien. "Vers une commande basée modèle des machines complexes : application aux machines-outils et machines d'essais mécaniques." Thesis, Clermont-Ferrand 2, 2015. http://www.theses.fr/2015CLF22551/document.

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De nos jours, les exigences de productivité et de maîtrise des coûts ont incité les industriels à développer de nouvelles machines, et avec elles, de nouveaux enjeux sont apparus : souplesse de la structure, vibration, effets dynamiques non-négligeables, etc. Pourtant, leur mise en œuvre est toujours issue de méthodes employées pour les machines conventionnelles. Ces travaux s’intéressent donc à la définition de stratégies globales englobant la prise en compte de la structure utilisée et de la tâche à réaliser, appliquée à deux contextes d’illustration. Dans le contexte de l’usinage, nous proposons un réglage des machines basé sur le modèle comportemental de la structure qui ne nécessite que peu de modifications manuelles et permettant un gain de temps pour la mise en œuvre. Une nouvelle loi de commande en couple calculé est également proposé, elle permet de réduire les phénomènes vibratoires lors de phases dynamiquement exigeantes. Dans le contexte des essais mécaniques, l’objectif est de montrer la faisabilité de l’utilisation de machines parallèles à 6 degrés de liberté dans le cadre d’essais dont la gestion des conditions aux limites est critique. Nous proposons une instrumentation et un schéma de commande qui permettent de respecter les consignes avec une erreur maximale de l’ordre de 0.40μm, même dans le cas d’éprouvettes très rigide (en béton par exemple)
Nowadays, the requirements in productivity and costs mastering have forced the industrial manufacturers to develop new kind of mechanisms. Thus, the complexity of the machine-tools structures and machining processes has increased and new challenges have emerged : flexible structure, vibration, non-negligible dynamic effects, etc ... However, their implementation still comes from methods used for conventional machines. These works are thus about defining overall strategies including consideration of the kind of structure used and the task to realise. Two illustrative contexts are used. In the context of machining, we propose a generic tuning method based on kinematic and dynamic model of machine-tools structure that requires only a few manual modifications, in order to save time for implementation. A new computed torque control law is proposed, it reduces vibration phenomena in dynamical demanding phases. In the context of the mechanical tests, the objective is to demonstrate the feasibility of using parallel machines with 6 degrees of freedom in the context of mechanical tests, whereas the boundary conditions are perfectly controlled. We propose an instrumentation and control scheme that is able to perform mechanical tests with a maximum error of about 0.40 mu m, even in the case of very rigid specimen (concrete for example)
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Bromberg, Paul. "Clockworks, hot pots, heat machines, and chemical machines : the contrivance aspect of the machine metaphor." Thesis, University of British Columbia, 1991. http://hdl.handle.net/2429/30405.

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From a general discussion concerning the shortcomings of the received view of scientific theories and scientific explanation I conclude that metaphorical thinking, until quite recently restricted to literary analysis, may play a significant role not only in the way theories are conceived, but also in the way that meaning is ascribed to the concepts used in science. The analysis of the literal realm of 'machine' considers three aspects that could appear in the metaphorical assimilation of organisms to machines: the contrivance aspect, which is the 'hardware'; the fact that machines exhibit purpose; finally, the integrated aspect of the machine (its harmony). The study is devoted only to the first aspect. I offer a narrative of pivotal ideas about the workings of the biological individual, from the clockworks of the early mechanicists to modern biochemistry, not just as a succession of discoveries but also as alleged accomplishments of the 'machine metaphor' revealing its scope. Some recognized milestones in the history of ideas about the inner workings of organisms are surveyed: the proposals of the early mechanicists during the Scientific Revolution, Lavoisier's view of respiration as combustion, Liebig's description of the human body as a chemical machine and the suggestion that the chemical accomplishments in living beings are the result of myriads of fermentation-like processes. I devote special attention to the problem of the direct conversion of chemical energy into mechanical energy using the evolution of ideas about muscular contraction as the main example. During the period 1900-1930 the study of colloidal behavior was considered to be the right path for unraveling most of the mysteries of vital processes. I carefully describe this work particularly the proposed models for muscular contraction and enzymatic action. The dismissal of this colloidal approach after the acceptance of the existence of those particular kinds of macromolecules that exist in living organisms marks the entrance of our modern approach. One of the remarkable features of the modern approach is the incessant elaboration of the idea of 'molecular machine'. I conclude with a discussion of the problem how literally can this metaphor be taken?
Graduate and Postdoctoral Studies
Graduate
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Lanarolle, W. D. Gamini. "Machine setting automation for circular weft-knitting machines." Thesis, University of Manchester, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.488354.

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Kent, W. F. "Machine learning for parameter identification of electric induction machines." Thesis, University of Liverpool, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.399178.

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This thesis is concerned with the application of simulated evolution (SE) to the steady-state parameter identification problem of a simulated and real 3-phase induction machine, over the no-load direct-on-line start period. In the case of the simulated 3-phase induction machine, the Kron's two-axis dynamic mathematical model was used to generate the real and simulated system responses where the induction machine parameters remain constant over the entire range of slip. The model was used in the actual value as well as the per-unit system, and the parameters were estimated using both the genetic algorithm (GA) and the evolutionary programming (EP) from the machine's dynamic response to a direct-on-line start. Two measurement vectors represented the dynamic responses and all the parameter identification processes were subject to five different levels of measurement noise. For the case of the real 3-phase induction machine, the real system responses were generated by the real 3-phase induction machine whilst the simulated system responses were generated by the Kron's model. However, the real induction machine's parameters are not constant over the range of slip, because of the nonlinearities caused by the skin effect and saturation. Therefore, the parameter identification of a real3-phase induction machine, using EP from the machine's dynamic response to a direct-on-line start, was not possible by applying the same methodology used for estimating the parameters of the simulated, constant parameters, 3-phase induction machine.
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Sokola, Matija. "Vector control of induction machines using improved machine models." Thesis, Liverpool John Moores University, 1998. http://researchonline.ljmu.ac.uk/4899/.

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Park, Yongwon Baskiyar Sanjeev. "Dynamic task scheduling onto heterogeneous machines using Support Vector Machine." Auburn, Ala, 2008. http://repo.lib.auburn.edu/EtdRoot/2008/SPRING/Computer_Science_and_Software_Engineering/Thesis/Park_Yong_50.pdf.

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Thorén, Daniel. "Radar based tank level measurement using machine learning : Agricultural machines." Thesis, Linköpings universitet, Programvara och system, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176259.

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Agriculture is becoming more dependent on computerized solutions to make thefarmer’s job easier. The big step that many companies are working towards is fullyautonomous vehicles that work the fields. To that end, the equipment fitted to saidvehicles must also adapt and become autonomous. Making this equipment autonomoustakes many incremental steps, one of which is developing an accurate and reliable tanklevel measurement system. In this thesis, a system for tank level measurement in a seedplanting machine is evaluated. Traditional systems use load cells to measure the weightof the tank however, these types of systems are expensive to build and cumbersome torepair. They also add a lot of weight to the equipment which increases the fuel consump-tion of the tractor. Thus, this thesis investigates the use of radar sensors together witha number of Machine Learning algorithms. Fourteen radar sensors are fitted to a tankat different positions, data is collected, and a preprocessing method is developed. Then,the data is used to test the following Machine Learning algorithms: Bagged RegressionTrees (BG), Random Forest Regression (RF), Boosted Regression Trees (BRT), LinearRegression (LR), Linear Support Vector Machine (L-SVM), Multi-Layer Perceptron Re-gressor (MLPR). The model with the best 5-fold crossvalidation scores was Random For-est, closely followed by Boosted Regression Trees. A robustness test, using 5 previouslyunseen scenarios, revealed that the Boosted Regression Trees model was the most robust.The radar position analysis showed that 6 sensors together with the MLPR model gavethe best RMSE scores.In conclusion, the models performed well on this type of system which shows thatthey might be a competitive alternative to load cell based systems.
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Romano, Donato. "Machine Learning algorithms for predictive diagnostics applied to automatic machines." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22319/.

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In questo lavoro di tesi è stato analizzato l'avvento dell'industria 4.0 all'interno dell' industria nel settore packaging. In particolare, è stata discussa l'importanza della diagnostica predittiva e sono stati analizzati e testati diversi approcci per la determinazione di modelli descrittivi del problema a partire dai dati. Inoltre, sono state applicate le principali tecniche di Machine Learning in modo da classificare i dati analizzati nelle varie classi di appartenenza.
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Books on the topic "Machines"

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Sibikin, Mihail, A. N. Chernenko, and Yuriya Voronkin. Technological equipment. Metal cutting machines. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1061257.

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The textbook discusses and describes the technological equipment of machine tool construction: metalworking machines; standard mechanisms and devices for machine tools; purpose, device, kinematics, adjustment of machines of various groups and types; multipurpose and aggregate machines; precision equipment; automatic lines; flexible production module; flexible production system; testing of machines; indicators of the technical level and reliability of technological equipment; diagnostics of machine systems. Meets the requirements of the federal state educational standards of secondary vocational education of the latest generation. For students of secondary vocational education institutions. It can be useful for professional training of technicians and craftsmen.
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Iannucci, Robert A. Parallel Machines: Parallel Machine Languages. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-1543-8.

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Katharina, Dohm, Stahlhut Heinz, Schirn Kunsthalle Frankfurt, and Museum Jean Tinguely Basel, eds. Kunstmaschinen Maschinenkunst =: Art machines Machine art. Heidelberg: Kehrer, 2007.

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E, St Andre Ralph. Simple machines made simple. Englewood, Colo: Teacher Ideas Press, 1993.

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Hewitt, Sally. Machines we use. New York: Children's Press, 1998.

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Bains, Rae. Simple machines. Mahwah, N.J: Troll Associates, 1985.

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Hewitt, Sally. Using machines. London: Chrysalis Children's, 2005.

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ill, Bruner Stephen, ed. Simple machines. New York: Dutton, 1989.

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Deane-Pratt, Ade. Simple Machines. New York: PowerKids Press, 2012.

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Hewitt, Sally. Machines we use. New York: Children's Press, 2007.

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Book chapters on the topic "Machines"

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Lee, Gerald Stanley. "The Machines' Machines." In Crowds, 264–65. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003304449-47.

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Dudley, Leonard. "Machines to Make Machines." In The Singularity of Western Innovation, 167–79. New York: Palgrave Macmillan US, 2017. http://dx.doi.org/10.1057/978-1-137-39822-2_8.

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Keighley, H. J. P., F. R. McKim, A. Clark, and M. J. Harrison. "Machines." In Mastering Physics, 62–66. London: Macmillan Education UK, 1986. http://dx.doi.org/10.1007/978-1-349-86062-3_7.

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Barrass, Robert. "Machines." In Mastering Science, 127–37. London: Macmillan Education UK, 1991. http://dx.doi.org/10.1007/978-1-349-11075-9_12.

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Keighley, H. J. P., F. R. McKim, A. Clark, and M. J. Harrison. "Machines." In Mastering Physics, 62–66. London: Macmillan Education UK, 1986. http://dx.doi.org/10.1007/978-1-349-08849-2_7.

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Phipps, Claude. "Machines." In No Wonder You Wonder!, 141–58. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-21680-5_13.

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Yiannoudes, Socrates. "Machines." In Architecture in Digital Culture, 7–50. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003241287-2.

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Wallace, Jeff. "Machines." In D.H. Lawrence, Science and the Posthuman, 202–32. London: Palgrave Macmillan UK, 2005. http://dx.doi.org/10.1057/9780230287631_8.

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Nichols, Daniel H. "Machines." In Physics for Technology, 107–22. Second edition. | Boca Raton : CRC Press, Taylor & Francis: CRC Press, 2018. http://dx.doi.org/10.1201/9781351207270-6.

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Santo, Diana Espírito. "Machines." In Spirited Histories, 31–59. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003140818-2.

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Conference papers on the topic "Machines"

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Katz, Reuven, and Yoram Koren. "Reconfigurable Machines." In ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2008. http://dx.doi.org/10.1115/esda2008-59056.

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Reconfigurable Machines form a new class of machines that are designed around a specific part family of products and allow rapid change in their structure. They are designed to allow changes in production requirements by changes in the machine mechanical configuration and structure. Reconfigurable machines might be designed for various types of production operations such as machining, inspection and assembly. This paper introduces characteristics and design principles of reconfigurable machines, and describes their features using an example of our new full-scale industrial prototype of a Reconfigurable Bore Surface Inspection Machine (RBSIM). In addition, the paper also describes briefly other three prototypes of Reconfigurable Machines that were developed during recent years in our center: (1) the Reconfigurable Machine Tool (RMT), (2) the Reconfigurable Inspection Machine (RIM), and (3) the Reconfigurable Assembly Machine (RAM).
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Wang, Sunran, and Hongyu Di. "Machine intelligence and intelligent machines." In 2011 International Conference on Fluid Power and Mechatronics (FPM). IEEE, 2011. http://dx.doi.org/10.1109/fpm.2011.6045814.

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Umeda, Yasushi, Shinsuke Kondoh, Roberto Kiyoshi Sato, Tomohiko Sakao, and Tetsuo Tomiyama. "The Development of Reconfigurable Cellular Machines." In ASME 1998 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/imece1998-1010.

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Abstract While present highly-developed mechatronics machines have many advantages, they also have problems, such as, fragility to minor faults and inflexibility to changes of the environment and user needs. In order to solve these problems, it is the key to make a product reconfigurable. Here, reconfigurability of a machine is the ability to change its functions, behaviors, and/or structure flexibly according to external and internal changes. This paper clarifies indispensable features of reconfigurable machines and proposes cellular machines as one of the most appropriate machine architecture for the reconfigurable machines. A cellular machine consists of distributed autonomous intelligent units (called “cells”). This paper also demonstrates that the cellular machines have structural reconfigurability, fault-tolerance, and functional reconfigurability which are indispensable features of reconfigurable machines.
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Kozhenkov, A., E. Z. Naeini, and K. Prindle. "Machine Learning and Learning from Machines." In Progress’19. European Association of Geoscientists & Engineers, 2019. http://dx.doi.org/10.3997/2214-4609.201953052.

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Centner, Matthias. "Machine design software for induction machines." In 2008 International Conference on Electrical Machines (ICEM). IEEE, 2008. http://dx.doi.org/10.1109/icelmach.2008.4800202.

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Naif, Ali Safdar, and Hong Zhou. "Elliptical Machines Using Adjustable Linkages." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-70047.

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Abstract Elliptical machines are exercising or training machines that are used to imitate walking, jogging, running or climbing exercises. Different from treadmill machines, elliptical machine users never leave their feet away from the pedals, which reduces the pressures to the ankle, knee, and hip joints, and significantly lowers the impact injuries of users’ joints. The configurations of the elliptical motion commonly mimic the natural paths of the ankle, knee, and hip joints for walking, jogging or running, which further decreases the strains and stresses on users’ joints. In addition to low joint impact, another feature of elliptical machines is their integrated leg and arm movements that provide the dual lower and upper body exercises. Users of elliptical machines not only exercise their legs, but also push and pull the handlebars to strengthen their arms. Unlike treadmills, ellipticals are self-powered by user-generated motion and have no need for motor and belt conveyance. The closed trajectories of elliptical machines are generated through their linkages. The shapes and sizes of the closed trajectories depend on the linkage dimensions. The trajectory of an elliptical machine needs to meet the requirements for different exercises, and various short and tall people with a wide range of arm or leg sizes. If an elliptical machine has fixed linkage dimensions, its elliptical trajectory has only one shape and size, which does not provide flexibility. In order for an elliptical machine to have flexibility, its linkage has to be adjustable. Adjustable linkages are more difficult to design than linkages without adjustability. This research is motived by surmounting the challenges facing elliptical machines. Different types of elliptical machines (rear, front, and central drives) without and with adjustability are analyzed. Their elliptical output motions are simulated. The research results will provide useful guidelines for developing and promoting elliptical machines.
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Ellery, Alex. "The machine to end all machines — Towards self-replicating machines on the moon." In 2018 IEEE Aerospace Conference. IEEE, 2018. http://dx.doi.org/10.1109/aero.2018.8396378.

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Gim, Taeweon, Chang-Ho Lee, Jae-Yong Ha, and Tae-Hyoung Kim. "Machine Tool Technologies for High Performance Machines." In 2008 International Conference on Smart Manufacturing application (ICSMA). IEEE, 2008. http://dx.doi.org/10.1109/icsma.2008.4505647.

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Lee, Yegi, Shin Kim, Kyoungro Yoon, Hanshin Lim, Sangwoon Kwak, and Hyon-Gon Choo. "Machine-Attention-based Video Coding for Machines." In 2023 IEEE International Conference on Image Processing (ICIP). IEEE, 2023. http://dx.doi.org/10.1109/icip49359.2023.10222037.

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Elton, Mark, Ryder Winck, and Wayne Book. "Command Feedback for Position Control of Hydraulic Machines." In ASME/BATH 2013 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/fpmc2013-4460.

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Previous research has shown that operator performance of industrial machines is superior with position control rather than rate control, except for large-workspace and dynamically slow manipulators, which includes most hydraulic machinery. This paper describes an investigation to determine why position control leads to better performance than rate control except for with dynamically slow manipulators, in an effort to increase operator performance of mobile hydraulic equipment. It examines why dynamically slow systems are an exception to the general rule, and proposes a human-machine interface (HMI), called command feedback, that leads to position control having superior performance, even in these exceptional situations. Thirty participants performed five tasks six times using one of five HMIs. A rate and a position controller were used to manipulate a dynamically fast system and a dynamically slow system that was designed to mimic the motion of hydraulic cylinders. A new HMI that provided real-time position feedback to the operator of his/her commanded position was applied to the position controller for the dynamically slow system. Task performance was measured and comparisons were made between position and rate control. The addition of the real-time position feedback to the dynamically slow system resulted in nearly identical performance with both controllers. From these results we conclude that position control is more intuitive for fast systems when human operators do not have the physical capability to control the velocity well with rate control, and that the intuitiveness of rate control for dynamically slow systems results from the lack of position feedback because of the machine’s speed of response. Command feedback can be used to elevate operator performance of hydraulic machinery.
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Reports on the topic "Machines"

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Webb, Philip. Deployment of Parallel Kinematic Machines in Manufacturing. SAE International, April 2022. http://dx.doi.org/10.4271/epr2022010.

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The field of parallel kinematics was viewed as being potentially transformational in manufacturing, having multiple potential advantages over conventional serial machine tools and robots. However, the technology never quite achieved market penetration or broad success envisaged. Yet, many of the inherent advantages still exist in terms of stiffness, force capability, and flexibility when compared to more conventional machine structures. Deployment of Parallel Kinematic Machines in Manufacturing examines why parallel kinematic machines have not lived up to original excitement and market interest and what needs to be done to rekindle that interest. A number of key questions and issues need to be explored to advance the technology further.
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Warde, Cardinal. Optical Inference Machines. Fort Belvoir, VA: Defense Technical Information Center, June 1988. http://dx.doi.org/10.21236/ada197880.

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Klarer, P. R. Flocking small smart machines: An experiment in cooperative, multi-machine control. Office of Scientific and Technical Information (OSTI), March 1998. http://dx.doi.org/10.2172/573344.

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Slattery, Kevin, and Kirk A. Rogers. Internal Boundaries of Metal Additive Manufacturing: Future Process Selection. SAE International, March 2022. http://dx.doi.org/10.4271/epr2022006.

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In the early days, there were significant limitations to the build size of laser powder bed fusion (L-PBF) additive manufacturing (AM) machines. However, machine builders have addressed that drawback by introducing larger L-PBF machines with expansive build volumes. As these machines grow, their size capability approaches that of directed energy deposition (DED) machines. Concurrently, DED machines have gained additional axes of motion which enable increasingly complex part geometries—resulting in near-overlap in capabilities at the large end of the L-PBF build size. Additionally, competing technologies, such as binder jet AM and metal material extrusion, have also increased in capability, albeit with different starting points. As a result, the lines of demarcation between different processes are becoming blurred. Internal Boundaries of Metal Additive Manufacturing: Future Process Selection examines the overlap between three prominent powder-based technologies and outlines an approach that a product team can follow to determine the most appropriate process for current and future applications.
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Chien, Andrew A. High Performance Virtual Machines. Fort Belvoir, VA: Defense Technical Information Center, July 2002. http://dx.doi.org/10.21236/ada408475.

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Henry, R. S. Parallel Kinematic Machines (PKM). Office of Scientific and Technical Information (OSTI), March 2000. http://dx.doi.org/10.2172/752338.

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Fisch, Nathaniel J. Alpha Channeling in Mirror Machines. Office of Scientific and Technical Information (OSTI), July 2014. http://dx.doi.org/10.2172/1137116.

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Harary, Howard, and Shaw Feng. U.S. Navy coordinate measuring machines:. Gaithersburg, MD: National Institute of Standards and Technology, 1993. http://dx.doi.org/10.6028/nist.ir.5379.

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Barbacci, Mario R. Software Support for Hetergeneous Machines. Fort Belvoir, VA: Defense Technical Information Center, May 1986. http://dx.doi.org/10.21236/ada175237.

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Crago, Stephen. Abstract Machines for Polymorphous Computing. Fort Belvoir, VA: Defense Technical Information Center, December 2007. http://dx.doi.org/10.21236/ada476792.

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