Academic literature on the topic 'Long-turn machines'

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Journal articles on the topic "Long-turn machines"

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Ji Chan, Yum. "Improvements to Linear and Nonlinear Models of Machine Key Components." Impact 2021, no. 1 (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
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Meyer, Ruth Ann, and James E. Riley. "Studying Decimal Fractions with Microcomputers." Mathematics Teacher 80, no. 2 (1987): 144–48. http://dx.doi.org/10.5951/mt.80.2.0144.

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The introduction of microcomputers into classrooms is heralded as a great advance in mathematics education. This observation is true, of course, only as long as students use these machines to stimulate their mathematical thinking by observing, conjecturing, testing, proving, and generalizing mathematical ideas. Turning on computers certainly does not authorize students to turn off their brains.
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Keller, Evelyn Fox. "Organisms, Machines, and Thunderstorms: A History of Self-Organization, Part One." Historical Studies in the Natural Sciences 38, no. 1 (2008): 45–75. http://dx.doi.org/10.1525/hsns.2008.38.1.45.

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Over the last quarter century, the term "self-organization" has acquired a currency that, notwithstanding its long history, has been taken to signal a paradigm shift, and perhaps even a scientific revolution, introducing a new Weltanschauungin fields as diverse as mathematics, physics, biology, ecology, cybernetics, economics, sociology, and engineering. But there is a prehistory to this revolution, as to the term itself, with at least two earlier episodes in which the same term was used to signal two other, quite different revolutions. In this paper, I review the pre-history of "self-organiza
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Liu, Rui Yi, Huang Jun, and Bo Cheng. "Process Improvement of Camshaft of Heavy Duty Diesel Engine." Applied Mechanics and Materials 275-277 (January 2013): 2252–55. http://dx.doi.org/10.4028/www.scientific.net/amm.275-277.2252.

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Camshaft is a key part of heavy duty diesel engine. The conventional process applies the profiling modeling grinders and universal milling machines to manufacture the cam. The weaknesses of this process include unstable cam profilogram, low accuracy, low flexibility, long product cycle and undesirable adaptability. M40 turn-milling centre and CN320 cam grinder are applied to upgrade the process. Compared with the conventional process, the improved process has evident advantages such as higher machining accuracy, surface quality and efficiency. And the compatibility with diverse product categor
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Sharkey, N., and A. Sharkey. "Electro-mechanical robots before the computer." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 223, no. 1 (2008): 235–41. http://dx.doi.org/10.1243/09544062jmes1262.

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There were several electro-mechanical robots in the period leading up to the birth of the Journal of Mechanical Engineering Science in 1959. The authors examine the rise and fall of the electro-mechanical robot in the early twentieth century. After exploring the roots and uses of the term ‘robot’, a historical survey of the early landmark robots is provided. Some were controlled remotely by wireless radio signals or by selectively operating relays with whistle tones or by converting sound into light. Long before the invention of the modern digital computer, there were robots working autonomous
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Greene, Kenneth F. "Campaign Effects and the Elusive Swing Voter in Modern Machine Politics." Comparative Political Studies 54, no. 1 (2020): 77–109. http://dx.doi.org/10.1177/0010414020919919.

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Are vote-choice buying attempts successful? Much research across the social sciences argues that political machines expertly turn citizens into clients, undermining core aspects of democracy. Using insights from behavioral theories of vote choice, I argue that standard partisan campaigns can diminish vote-choice buying’s efficiency. Machines face a targeting problem: Local brokers identify good clients using long-term markers but then campaigns shift many citizens’ vote-relevant attitudes in ways that brokers cannot detect, leading to targeting errors. Vote-choice buying remains effective on r
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Mom, Gijs, Georgine Clarsen, and Cotten Seiler. "Editorial." Transfers 2, no. 1 (2012): 1–4. http://dx.doi.org/10.3167/trans.2012.020101.

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At Eindhoven University of Technology, which has a modest reputation for collecting contemporary art, an exhibition of large machines and poetic video clips by father and son Van Bakel invites passersby to reflect on mobility. Gerrit van Bakel, who died more than a quarter century ago, became known for his Tarim Machine, a vehicle that moves at such a low speed that it almost does not matter whether it moves or not. The propulsion principle—for those who love technology—rests on the dilatation energy of oil in tubes propelling (if propelling is the right word …) the contraption a couple of cen
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Oleynik, Michel, Amila Kugic, Zdenko Kasáč, and Markus Kreuzthaler. "Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification." Journal of the American Medical Informatics Association 26, no. 11 (2019): 1247–54. http://dx.doi.org/10.1093/jamia/ocz149.

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Abstract Objective Automated clinical phenotyping is challenging because word-based features quickly turn it into a high-dimensional problem, in which the small, privacy-restricted, training datasets might lead to overfitting. Pretrained embeddings might solve this issue by reusing input representation schemes trained on a larger dataset. We sought to evaluate shallow and deep learning text classifiers and the impact of pretrained embeddings in a small clinical dataset. Materials and Methods We participated in the 2018 National NLP Clinical Challenges (n2c2) Shared Task on cohort selection and
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Arbulla, Beatrice, and Massimiano Bucchi. "“Queue up, you stupid!”: communicating about technology problems. An exploratory study of warning messages posted on machines in public places." Journal of Science Communication 14, no. 03 (2015): Y02. http://dx.doi.org/10.22323/2.14030402.

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Communication about technology has long been neglected within the field of science and technology communication. This visual exploratory study focuses on how users can communicate with and about technology in public places through warning signs posted on technological devices. Three broad categories of messages have been identified: bad design, malfunctioning and disciplining users. By analyzing examples within each category, we suggest that studying these communicative situations can be a key to understanding how users are engaged in continuous, elaborate and sometimes even conflicting framin
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Tinggi, Zulnani, and Sakum. "PENGEMBANGAN EARLY WARNING SYSTEM UNTUK DELISTING SAHAM SYARIAH MENGGUNAKAN SUPPORT VECTOR MACHINE (SVMs)." Jurnal Ekonomi Syariah Pelita Bangsa 5, no. 02 (2020): 198–208. http://dx.doi.org/10.37366/jespb.v5i02.117.

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This study aim to produce Early Warning System in predicting the occurrence of delisting in Islamic stocks by using Support Vector Machines (SVM). The sample used in this research are companies listed on the Indonesian Syariah Stock Index (ISSI) for the period of 2012 - 2018. With the variables used in this research: Turn Over Asset, Long Term Debt, Interest Coverage, Debt to Equity, Quick Ratio, ROA, ROE Leverage, Current Ratio, ROIC. The population of this study is 335 Islamic stocks registered with ISSI. There are 102 companies which consists of listed and delisted companies from sharia sha
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Dissertations / Theses on the topic "Long-turn machines"

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Kinc, Jiří. "Využití vysokotlakého chlazení na dlouhotočných automatech." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-231129.

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The thesis describe high-pressure cooling system and present experiment, when is using this cooling technology for turning cylindrical workpiece to long-turn machines. Workpiece manufactured using high-pressure cooling system is compares with Workpiece manufactured using low-pressure cooling system. Results are analyzed, evaluated and plotted in a single graphical relationships. The thesis is completed the analysis, discussion and recommendations regarding the using of high-pressure cooling.
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Books on the topic "Long-turn machines"

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Hong, Sun-ha. Technologies of Speculation. NYU Press, 2020. http://dx.doi.org/10.18574/nyu/9781479860234.001.0001.

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What counts as knowledge in the age of big data and smart machines? Technologies of datafication renew the long modern promise of turning bodies into facts. They seek to take human intentions, emotions, and behavior and to turn these messy realities into discrete and stable truths. But in pursuing better knowledge, technology is reshaping in its image what counts as knowledge. The push for algorithmic certainty sets loose an expansive array of incomplete archives, speculative judgments, and simulated futures. Too often, data generates speculation as much as it does information. Technologies of
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Goodman, Adam. The Deportation Machine. Princeton University Press, 2020. http://dx.doi.org/10.23943/princeton/9780691182155.001.0001.

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Constant headlines about deportations, detention camps, and border walls drive urgent debates about immigration and what it means to be an American in the twenty-first century. This book traces the long and troubling history of the U.S. government's systematic efforts to terrorize and expel immigrants over the past 140 years. The book provides needed historical perspective on one of the most pressing social and political issues of our time. It examines how federal, state, and local officials have targeted various groups for expulsion, from Chinese and Europeans at the turn of the twentieth cen
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Zatiazhnoi Povorot: Gruppa "Mashina Vremeni": 40 Let: Etapy Bol'shogo Puti[Lasting turn: Group "Time Machine": 40 years: Phases of the long road]. Amfora, 2009.

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Newcomb, John Timberman. Gutter and Skyline. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252036798.003.0007.

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This chapter examines the little magazines' shift to a poetry of modern life between 1910 and 1925 by discarding long-standing generic strictures of style and subject matter in favor of themes dealing with the industrialized metropolis. Soon after 1910, many poets such as T. S. Eliot, Claude McKay, and Carl Sandburg began to write verses about life in the modern city. This turn toward urban subject matter marked a decisive change in American poetry's relationship to modernity and an epochal departure from national traditions. This chapter considers the integral connection between verse and the
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Book chapters on the topic "Long-turn machines"

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Gelernter, David. "Simple Mind Machines." In Mirror Worlds. Oxford University Press, 1991. http://dx.doi.org/10.1093/oso/9780195068122.003.0013.

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we plunge now into the deepest, trickiest, most treacherous and remarkable undersea cavern in the whole coral reef, the question of simulated experience. when we get to the bottom we will be face to face with the fundamental question of artificial intelligence (henceforth AI). we won’t know how to solve it, but we will be shining a flashlight in its face. what does it mean to think? How does thinking work? Not “how does the brain work,” but what does the thinking process consist of, in logical terms? we don’t need to understand lungs to realize that respiration has something to do with grabbing air, letting it soak in somehow and then pushing it out. Thinking is (one suspects) just as basic a physiological process as breathing; how does it work? Presumably it’s not mere random helter skelter scurrying about. There is some system at work, some process, presumably. Even when you are not hard at work solving a math problem, planning a strategy or wracking your brain for the name of someone’s daughter, there is something ticking over in there, as steadily (maybe even as rhythmically) as breathing. what is this process? As usual, we have a particular, concrete problem and a software solution in mind. The problem is crucial to Mirror worlds: How do we make the experience key work? In answering we will (again) be addressing a major problem in the non-Mirror world as well. In the last chapter, I discussed the extraction of information from fastflowing data streams at the source. we turn now to oceans of data that have accumulated in databases. what can we do with this stuff? All those multi-billions of records on file? Here, the focus is different. You don’t worry so much about extracting information fast, as the data values fly by. You focus instead on the problem of comparing many stored incidents or situations. In pursuing this concrete problem, I’ll keep the deep questions and long-term implications at bay, for the most part—but they do have a tendency to wind their tendrils around the subject matter in this chapter. I will be describing a “simulated mind” designed for a well-defined, utilitarian purpose.
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Sharma, Ajay. "Smart Agriculture Services Using Deep Learning, Big Data, and IoT (Internet of Things)." In Advances in Environmental Engineering and Green Technologies. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5003-8.ch010.

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The internet of things is believed to have long-lasting effects in both technology and modern society. In a modern information society, IoT can be seen as a global infrastructure that enables more advanced services by connecting physical and virtual devices and things to currently existing and even upcoming information and communication technologies. IoT takes advantage of identification, data capture, processing, and communication capabilities of modern technology to allow regular machines to provide new data sources to applications, which in turn can offer more advanced services. In terms of ICT technologies, IoT adds any thing communication to any time and any place. An increase in technology also leads to the development of smart agriculture. This chapter deals with the different electronic sensors used for the smart agriculture like soil moisture sensor, node MCU, water flow sensor, relay, water pump, solar system. The next section deals with big data in smart agriculture.
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Martin, Philip. "US Farm Labor." In The Prosperity Paradox. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198867845.003.0004.

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Hired farm workers do two-thirds of US farm work. The hired labor system that developed in the western US in the nineteenth century has spread across the US, as the large farms that hire most farm workers expect seasonal crews to be available when needed and to fend for themselves in the off season. The major source of seasonal US farm workers is rural Mexico. Most Mexicans arrive as unauthorized workers and move to nonfarm US jobs after gaining experience in the US. Unions such as the United Farm Workers tried and failed to turn seasonal farm work from a decade-long job into a lifelong career. Farm-labor costs have been rising since the 2008–9 recession slowed unauthorized Mexico–US migration, prompting the 4-S adjustments: satisfy current workers to reduce turnover; stretch current workers with mechanical aids that increase their productivity; substitute machines for workers where possible and switch to less labor-intensive crops; and supplement current workforces with H-2A guest workers.
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Link, Stefan J. "The Populist Roots of Mass Production." In Forging Global Fordism. Princeton University Press, 2020. http://dx.doi.org/10.23943/princeton/9780691177540.003.0002.

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This chapter traces mass production to its beginnings in the United States, where it emerged from the distinctive ideology of Midwestern populism. Why did Detroit, of all places, pioneer the industry that would shape the twentieth century like no other? Was Detroit simply lucky, as it were, to count a Henry Ford and a Ransom Olds among its citizens — incarnations of the American genius for innovation and entrepreneurship? Figures like Ford and Olds acted within the political economy of the Midwest and shared the characteristic populist commitments that suffused the region. These two factors — political economy and political ideology — go a long way toward explaining why, at the turn of the twentieth century, southeastern Michigan was in an auspicious position to get ahead of rapid technological developments and to spread its fruits widely. Experts with machines and metal, Midwestern mechanics gave their producerism a characteristic technological spin. This kind of producer populism permeated Detroit politics. The chapter then looks at a series of very different conflicts which honed Henry Ford's conviction that automotive mass production should reflect a producer-populist orientation.
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Copeland, Jack. "Machine against Machine." In Colossus. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780192840554.003.0012.

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As explained in the preceding chapter, Tutte invented a way of finding the settings of the Tunny’s chi-wheels, but the rub was that his method seemed impractical. It involved calculations which, if done by hand, would consume a vast amount of time—probably as much as several hundred years for a single, long message, Newman once estimated. The necessary calculations were straightforward enough, consisting basically of comparing two streams made up of dots and crosses, and counting the number of times that each had a dot, or cross, in the same position. Today, of course, we turn such work over to electronic computers. When Tutte shyly explained his method to Newman, Newman suggested using high-speed electronic counters to mechanise the process. It was a brilliant idea. Within a surprisingly short time, Newman’s factory of monstrous electronic computers, dedicated to breaking Tunny, was affording a glimpse of the future. Electronic counters had been developed in Cambridge before the war. Used for counting emissions of subatomic particles, these had been designed by C. E. Wynn-Williams, then like Newman a Cambridge don. Newman knew of Wynn-Williams’ work, and in a moment of inspiration he saw that the same idea could be applied to the Tunny problem. Tutte invented his method in November 1942 and the following month Newman was given the job of developing the necessary machinery. Newman worked out the cryptanalytical requirements for the planned machine and called in Wynn-Williams to design the electronic counters. Wynn-Williams was by then involved in wartime research at the Telecommunications Research Establishment (TRE) in Malvern. Newman and TRE approached an expert on teleprinter equipment, F. O. Morrell, head of the telegraph and teleprinter group of the Post Office Research Station at Dollis Hill in North London, to engineer the other parts of the machine. Construction of Newman’s machine started in January 1943 and a prototype began operating in June of that year, in the newly formed Newmanry. The Newmanry consisted initially of Newman himself, Michie, two engineers, and 16 ‘Wrens’—members of the Women’s Royal Naval Service. The section was housed in a two-roomed hut, Hut 11, originally the first Bombe room.
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Francis Jr., Anthony G., Manish Mehta, and Ashwin Ram. "Emotional Memory and Adaptive Personalities." In Machine Learning. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-818-7.ch507.

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Believable agents designed for long-term interaction with human users need to adapt to them in a way which appears emotionally plausible while maintaining a consistent personality. For short-term interactions in restricted environments, scripting and state machine techniques can create agents with emotion and personality, but these methods are labor intensive, hard to extend, and brittle in new environments. Fortunately, research in memory, emotion and personality in humans and animals points to a solution to this problem. Emotions focus an animal’s attention on things it needs to care about, and strong emotions trigger enhanced formation of memory, enabling the animal to adapt its emotional response to the objects and situations in its environment. In humans this process becomes reflective: emotional stress or frustration can trigger re-evaluating past behavior with respect to personal standards, which in turn can lead to setting new strategies or goals. To aid the authoring of adaptive agents, we present an artificial intelligence model inspired by these psychological results in which an emotion model triggers case-based emotional preference learning and behavioral adaptation guided by personality models. Our tests of this model on robot pets and embodied characters show that emotional adaptation can extend the range and increase the behavioral sophistication of an agent without the need for authoring additional hand-crafted behaviors.
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Cumbler, John T. "From Milling to Manufacturing From Villages to Mill Towns." In Reasonable Use. Oxford University Press, 2001. http://dx.doi.org/10.1093/oso/9780195138139.003.0006.

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The new world of New England was one of factories and factory towns, as well as farms and forests. It was a world where farmers, looking to those factory towns for markets, plowed their fields deep and intensively managed their land. It was a world where lumbermen stripped mountainsides of their forest cover to meet the cities’ growing appetite for lumber. It was a world of managed and controlled nature. It was also a world of rapid change, and increasingly after 1800, the force behind that change was the coming of the manufacturing mills. Levi Shepard’s 1788 duck-cloth factory was of a different type than the traditional mills of New England. Although mills that spun or fulled cloth had long been part of rural New England, Levi Shepard had a different market in mind when he encouraged local farmers to bring him their flax. Shepard wanted to take material from the countryside and, with the help of “workers employed,” “manufacture” it into a commodity for sale. Shepard’s decision to focus on manufacturing for distant markets represented a new world. Manufacturing in rural New England began small. And although it made a huge impact on travelers such as Timothy Dwight, it grew out of, while at the same time it transformed, traditional rural society. The processing of goods of the countryside was an integral part of traditional New England life, whether in 1650 or 1800. In 1790, the Hampshire Gazette commented that although “a large quantity of woollen cloth are made in private families and brought to market in our trading towns, a great part of [the woollen cloth] is not calculated for market.” The shift from milling produce for local use to manufacturing occurred initially for most of rural New England with the shift of small traders, merchants, and millers from processing for local farmers to processing for external markets. Edmund Taylor of Williamsburg on the Mill River, for example, at the turn of the century added carding and picking machines to his gristmill. As he did for grain, Taylor processed the material from the countryside, keeping a portion of it as his pay.
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Susskind, Richard, and Daniel Susskind. "Objections and Anxieties." In The Future of the Professions. Oxford University Press, 2015. http://dx.doi.org/10.1093/oso/9780198713395.003.0016.

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We surface now from our theorizing in Part II to address more practical matters. Roughly speaking, the story so far is this—the professions are our current solution to a pervasive problem, namely, that none of us has sufficient specialist knowledge to allow us to cope with all the challenges that life throws at us. We have limited understanding, and so we turn to doctors, lawyers, teachers, architects, and other professionals because they have ‘practical expertise’ that we need to bring to bear in our daily lives. In a print-based industrial society, we have interposed the professions, as gatekeepers, between individuals and organizations and the knowledge and experience to which they need access. In the first two parts of the book we describe the changes taking place within the professions, and we develop various theories (largely technological and economic) that lead us to conclude that, in the future—in the fully fledged, technology-based Internet society—increasingly capable machines, autonomously or with non-specialist users, will take on many of the tasks that currently are the exclusive realm of the professions. While we do not anticipate an overnight, big-bang revolution, equally we do not expect a leisurely evolutionary progression into the post-professional society. Instead, we predict what we call an ‘incremental transformation’ in the way in which we organize and share expertise in society, a displacement of the traditional professions in a staggered series of steps and bounds. Although the change will come in increments, its eventual impact will be radical and pervasive. Our personal inclination, articulated at greater length in the Conclusion, is to be strongly sympathetic to this transformation. Our professions are creaking—they are increasingly unaffordable and inaccessible, and suffer from numerous other defects besides, as we describe in section 1.7. Change is long overdue. In conversation with mainstream professionals, in response to our thinking, two words in juxtaposition are uttered again and again—‘yes but . . . ’. Sometimes, what then follows is the special pleading that we note in section 1.9—professionals argue that our thinking applies to all professions other than their own.
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Mac Gillavry, Edward. "Collaborative Mapping and GIS." In Geographic Information Systems. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2038-4.ch074.

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The collection and dissemination of geographic information has long been the prerogative of national mapping agencies. Nowadays, location-aware mobile devices could potentially turn everyone into a mapmaker. Collaborative mapping is an initiative to collectively produce models of real-world locations online that people can then access and use to virtually annotate locations in space. This chapter describes the technical and social developments that underpin this revolution in mapmaking. It presents a framework for an alternative geographic information infrastructure that draws from collaborative mapping initiatives and builds on established Web technologies. Storing geographic information in machine-readable formats and exchanging geographic information through Web services, collaborative mapping may enable the “napsterisation” of geographic information, thus providing complementary and alternative geographic information from the products created by national mapping agencies.
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Kessler, Amalia D. "The Non-Revolutionary Field Code." In Inventing American Exceptionalism. Yale University Press, 2017. http://dx.doi.org/10.12987/yale/9780300198072.003.0004.

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Chapter 3 shows how in the 1820s and 1830s, with the rise of the political party machine known as the Albany Regency and the democratization of politics that followed, many politicians sought to demonstrate their populist credentials by lambasting chancery and its quasi-inquisitorial procedure as elitist. While top-down legislation and constitutional law played a relatively minimal role in causing the turn toward oral adversarial procedure, policy makers’ critique of chancery and its quasi-inquisitorial procedure served to undermine the legitimacy of the institution and its procedural system. This, in turn, facilitated the process of change that lawyers litigating in chancery had themselves initiated. The precise arguments raised against chancery varied across the decades from the constitutional convention of 1821 to that of 1846, but—whether focused on chancery’s association with the spoils system, its troubling relationship to the market revolution, or the problem of mounting docket pressures—they were all framed as defenses of democratization. The end result was to smooth the way for lawyers’ embrace of oral, adversarial procedure. Thus, when the Field Code of Procedure was enacted in 1848, it was largely a fait accompli, reflecting changes that had already occurred, rather than, as long assumed, initiating a procedural revolution.
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Conference papers on the topic "Long-turn machines"

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Kumar Verma, Amar, Sudha Radhika, and Naren Surampudi. "Web Based Application for Quick and Handy Health Condition Monitoring System for a Reliable Wind Power Generation." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23713.

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Abstract Health condition monitoring in wind turbine motor plays an extremely important role, as these devices are highly in demand in the energy sector, especially in renewable energy and are vulnerable to both mechanical and electrical failures, more often. As such, timely identification of internal faults in these electrical devices goes a long way in productive operations by reducing the maintenance time and costs, i.e. such internal faults, if identified at an early stage, repaired or replaced timely will aid in reliable renewable energy supply. Taking this into consideration, automated c
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Alexander, Jamel H., and Oliver J. Myers. "Microstructure Properties and Strengthening Mechanisms of the AS4-3501-6 Polymeric Resin With Embedded Terfenol-D Particles." In ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/smasis2014-7699.

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Polymeric composite laminates play a vital role in the fabrication of strong, lightweight materials. Composites also play a critical role in the aerospace and automotive industries. They are the very things that protect us from harsh environments. Due to widespread usage, it is important to understand how these materials age and perform over time. The advantages of polymeric composites are high rigidity, high strength to weight ratio, corrosion resistance, high fatigue strength, low thermal expansion, and manufacturability. The advantages of polymeric composite parts in machines and vehicles a
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Jang, Seongil, Joon Ahn, and Si Hyung Lim. "Performance of Oil Separator According to the Depth of the Outlet Tube." In ASME/JSME/KSME 2015 Joint Fluids Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/ajkfluids2015-03408.

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Recent years have witnessed a growing concern over saving energy because of global warming issues and energy price hikes caused by increased oil prices. The need to improve energy efficiency to reduce energy consumption has been raised. Refrigeration systems are also expected to have their energy efficiency improved. A refrigeration system’s the compressor uses lubricating oil. Lubricating oil, along with refrigerant, circulates in a refrigeration system. During this process, the pressure drop increases, and the heat transfer coefficient decreases. Moreover, insufficient lubricant may incur a
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Bottazzi, Roberto. "Urbanism Beyond Cognition: On Design and Machine Learning." In International Conference on the 4th Game Set and Match (GSM4Q-2019). Qatar University Press, 2019. http://dx.doi.org/10.29117/gsm4q.2019.0031.

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It could be argued that the introduction of new technologies always shifts the 'epistemological horizon' of the different fields they impact. New instruments allow expanding the range of parameters defining a discipline's working methods which in turn change their very definition. Design is no exception: for instance, the promises delivered by increases in data collection capacity and early computers helped Buckminster Fuller to redefine design as a planetary activity operating over large timeframes. Today the massive data storing capacities and the improvements on machine learning algorithms
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Haller, B. R., T. S. Rice, and R. Sigg. "Alleviation of Rotating Pressure Oscillations in the Last LP Turbine Stage During Low-Load Conditions." In ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-56088.

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In Steam Turbines, under low flow conditions, the flow structure on the long last stage blades is complex. The rotor blades create outward radial flow. Recirculations are setup near the tip in the gap between the fixed and moving blades, and near the hub downstream of the moving blade. The blade carries negative loading and encounters gross flow separations. In this environment, fluctuations in pressure are detected rotating at about half of the rotor speed. Some similarities exist with rotating stall, as found in compressors. In the validation of a new blade design, checks are therefore inclu
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Khan, Raja S. R., Maria Chiara Lagana, Steven O. T. Ogaji, Pericles Pilidis, and Ian Bennett. "Risk Analysis of Gas Turbines for Natural Gas Liquefaction." In ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-23261.

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Procurement of process plant equipment involves decisions based not only on an economic agenda but also on long term plant capability, which in turn depends on equipment reliability. As the greater global community raises environmental concerns and pushes for economic reform, a tool is evermore required for specific and critical selection of plant equipment. Risk assessments based on NASA’s Technology Readiness Level (TRL) scale have been employed in many previous risk models to map technology in terms of risk and reliability. The authors envisage a scale for quantifying technical risk. The fo
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Olson, Bill, David Ammerman, and Harmut Hage. "CO2 Compression Using an Eight Stage, Integrally Geared, Centrifulgal Compressor." In 2004 International Pipeline Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ipc2004-0475.

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This paper discusses the design, specification, and installation of an integrally geared, 8-stage centrifugal compressor for CO2 pipeline service in North America. To the authors’ knowledge, this was the first, and remains the only, such application of this compression technology in a cross-country pipeline in North America. The facilities were installed in 1999 and became operational in 2000. Design considerations included compressing process CO2 from near atmospheric pressure to the super critical phase that allows for efficient transport of large volumes over long distances in a pipeline. I
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