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1 compounding system
система компаундирования
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[Я.Н.Лугинский, М.С.Фези-Жилинская, Ю.С.Кабиров. Англо-русский словарь по электротехнике и электроэнергетике, Москва, 1999 г.]Тематики
- электротехника, основные понятия
EN
Англо-русский словарь нормативно-технической терминологии > compounding system
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2 compounding system
Большой англо-русский и русско-английский словарь > compounding system
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3 compounding system
Техника: система компаундирования -
4 compounding in series
The English-Russian dictionary general scientific > compounding in series
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5 compound system
система компаундирования
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[Я.Н.Лугинский, М.С.Фези-Жилинская, Ю.С.Кабиров. Англо-русский словарь по электротехнике и электроэнергетике, Москва, 1999 г.]Тематики
- электротехника, основные понятия
EN
Англо-русский словарь нормативно-технической терминологии > compound system
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6 система компаундирования
Англо-русский словарь технических терминов > система компаундирования
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7 Vauclain, Samuel Matthews
[br]b. 18 May 1856 Philadelphia, USAd. 4 February 1940 Rosemont, Pennsylvania, USA[br]American locomotive builder, inventor of the Vauclain compound system.[br]Vauclain entered the service of the Pennsylvania Railroad in 1872 as an apprentice in Altoona workshops and moved to the Baldwin Locomotive Works in 1883. He remained with the latter for fifty-seven years, becoming President in 1919 and Chairman of the Board in 1929.The first locomotive to his pattern of compound was built in 1889. There were four cylinders: on each side of the locomotive a high-pressure cylinder and a low-pressure cylinder were positioned one above the other, their pistons driving a common cross-head. They shared, also, a common piston valve. Large two-cylinder compound locomotives had been found to suffer from uneven distribution of power between the two sides of the locomotive: Vauclain's system overcame this problem while retaining the accessibility of a locomotive with two outside cylinders. It was used extensively in the USA and other parts of the world, but not in Britain. Among many other developments, in 1897 Vauclain was responsible for the construction of the first locomotives of the 2–8–2 wheel arrangement.[br]Bibliography1930, Steaming Up (autobiography).Further ReadingObituary, 1941, Transactions of the Newcomen Society 20:180.J.T.van Reimsdijk, 1970, The compound locomotive. Part 1:1876 to 1901', Transactions of the Newcomen Society 43:9 (describes Vauclain's system of compounding).PJGRBiographical history of technology > Vauclain, Samuel Matthews
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8 Mallet, Jules Théodore Anatole
[br]b. 1837 Geneva, Switzerlandd. November 1919 Nice, France[br]Swiss engineer, inventor of the compound steam locomotive and the Mallet articulated locomotive.[br]Mallet's family moved to Normandy while he was still a child. After working as a civil engineer, in 1867 he turned to machinery, particularly to compound steam engines. He designed the first true compound steam locomotives, which were built for the Bayonne- Biarritz Railway in 1876. They were 0–4–2 tank locomotives with one high-pressure and one low-pressure cylinder. A starting valve controlled by the driver admitted high-pressure steam to the low-pressure cylinder while the high-pressure cylinder exhausted to the atmosphere. At that time it was thought impracticable in a narrow-gauge locomotive to have more than three coupled axles in rigid frames. Mallet patented his system of articulation in 1884 and the first locomotives were built to that design in 1888: they were 0–4–4–0 tanks with two sets of frames. The two rear pairs of wheels carried the rear set of frames and were driven by two high-pressure cylinders; the two front pairs, which were driven by the high-pressure cylinders, carried a separate set of frames that was allowed sideplay, with a centre of rotation between the low-pressure cylinders. In contrast to the patent locomotive of Robert Fairlie, no flexible connections were required to carry steam at boiler pressure. The first Mallet articulated locomotives were small, built to 60 cm (23.6 in.) gauge: the first standard-gauge Mallets were built in 1890, for the St Gotthard Railway, and it was only after the type was adopted by American railways in 1904 that large Mallet locomotives were built, with sizes increasing rapidly to culminate in some of the largest steam locomotives ever produced. In the late 1880s Mallet also designed monorail locomotives, which were built for the system developed by C.F.M.-T. Lartigue.[br]Bibliography1884, French patent no. 162,876 (articulated locomotive).Further ReadingJ.T.van Riemsdijk, 1970, "The compound locomotive, Part I", Transactions of the Newcomen Society 43 (describes Mallet's work on compounding).L.Wiener, 1930, Articulated Locomotives, London: Constable (describes his articulated locomotives).For the Mallet family, see Historisch-Biographisches Lexikon der Schweiz.PJGRBiographical history of technology > Mallet, Jules Théodore Anatole
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9 house
1) дом2) цех; мастерская3) фирма; компания4) размещать; помещать; заключать во что-л.; вставлять в корпус; сажать (деталь, узел) в гнездо5) защищать, укрывать•-
acetylene generator house
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air house
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apartment house
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bag house
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barreling house
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basement house
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batch house
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beater house
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blending house
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boiler house
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bottom house
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bridge house
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broadcasting house
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cast house
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chart house
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collar house
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compounding house
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compressor house
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control house
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cooling house
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crude oil pumping house
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crude pumping house
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crusher house
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detached houses
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diesel-generator house
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digester house
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dog house
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double house
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drive house
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duplex house
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factory-made house
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fan house
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field house
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filter house
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fire-engine house
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firing house
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frame house
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freight house
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furnace house
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gage house
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gallery apartment house
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gas house
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gate house
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group house
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half-timbered house
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hoist house
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incineration house
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kiln house
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log house
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mill house
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mine air supply fan house
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monitor house
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movie house
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mud house
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photovoltaic-powered house
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pilot house
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postproduction house
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power house
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precast concrete house
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prefabricated house
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printing house
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program production house
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publishing house
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pump house
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quenching-pump house
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receiving house
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retort house
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row houses
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rundown house
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screening house
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semidetached house
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software house
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solar house
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sound house
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stock house
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store house
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studio house
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system house
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tail house
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tank house
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terrace house
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tide house
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tool house
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turbine house
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two-family house
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valve house
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video tape production house
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wheel house -
10 continuous
прил.1)а) общ. непрерывный, непрекращающийся, непрерываемый; постоянный, постоянно действующийSee:, continuous assessment, continuous audit, continuous bond, continuous budget, continuous budgeting, continuous change, continuous compounding, continuous discounting, continuous improvement, continuous innovation, continuous inventory, continuous market, continuous method, continuous movement, continuous net settlement, continuous on-the-job training, continuous process, continuous production, continuous professional development, continuous scale, continuous service, continuous shift system, continuous stocktaking, continuous stock-taking, continuous premium whole lifeб) общ. бессменныйcontinuous crop — бессменная с.-х. культура
See:2) мат. непрерывная (характеристка функции, обладающей непрерывностью)A function y=f(x) is continuous if there are no breaks in its graph, or crudely, if it can be drawn without taking the pen from the paper. — Функция y=f(x) называется непрерывной, если ее график не имеет разрывов или, грубо говоря, его можно начертить, не отрывая карандаш от бумаги.
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11 Computers
The brain has been compared to a digital computer because the neuron, like a switch or valve, either does or does not complete a circuit. But at that point the similarity ends. The switch in the digital computer is constant in its effect, and its effect is large in proportion to the total output of the machine. The effect produced by the neuron varies with its recovery from [the] refractory phase and with its metabolic state. The number of neurons involved in any action runs into millions so that the influence of any one is negligible.... Any cell in the system can be dispensed with.... The brain is an analogical machine, not digital. Analysis of the integrative activities will probably have to be in statistical terms. (Lashley, quoted in Beach, Hebb, Morgan & Nissen, 1960, p. 539)It is essential to realize that a computer is not a mere "number cruncher," or supercalculating arithmetic machine, although this is how computers are commonly regarded by people having no familiarity with artificial intelligence. Computers do not crunch numbers; they manipulate symbols.... Digital computers originally developed with mathematical problems in mind, are in fact general purpose symbol manipulating machines....The terms "computer" and "computation" are themselves unfortunate, in view of their misleading arithmetical connotations. The definition of artificial intelligence previously cited-"the study of intelligence as computation"-does not imply that intelligence is really counting. Intelligence may be defined as the ability creatively to manipulate symbols, or process information, given the requirements of the task in hand. (Boden, 1981, pp. 15, 16-17)The task is to get computers to explain things to themselves, to ask questions about their experiences so as to cause those explanations to be forthcoming, and to be creative in coming up with explanations that have not been previously available. (Schank, 1986, p. 19)In What Computers Can't Do, written in 1969 (2nd edition, 1972), the main objection to AI was the impossibility of using rules to select only those facts about the real world that were relevant in a given situation. The "Introduction" to the paperback edition of the book, published by Harper & Row in 1979, pointed out further that no one had the slightest idea how to represent the common sense understanding possessed even by a four-year-old. (Dreyfus & Dreyfus, 1986, p. 102)A popular myth says that the invention of the computer diminishes our sense of ourselves, because it shows that rational thought is not special to human beings, but can be carried on by a mere machine. It is a short stop from there to the conclusion that intelligence is mechanical, which many people find to be an affront to all that is most precious and singular about their humanness.In fact, the computer, early in its career, was not an instrument of the philistines, but a humanizing influence. It helped to revive an idea that had fallen into disrepute: the idea that the mind is real, that it has an inner structure and a complex organization, and can be understood in scientific terms. For some three decades, until the 1940s, American psychology had lain in the grip of the ice age of behaviorism, which was antimental through and through. During these years, extreme behaviorists banished the study of thought from their agenda. Mind and consciousness, thinking, imagining, planning, solving problems, were dismissed as worthless for anything except speculation. Only the external aspects of behavior, the surface manifestations, were grist for the scientist's mill, because only they could be observed and measured....It is one of the surprising gifts of the computer in the history of ideas that it played a part in giving back to psychology what it had lost, which was nothing less than the mind itself. In particular, there was a revival of interest in how the mind represents the world internally to itself, by means of knowledge structures such as ideas, symbols, images, and inner narratives, all of which had been consigned to the realm of mysticism. (Campbell, 1989, p. 10)[Our artifacts] only have meaning because we give it to them; their intentionality, like that of smoke signals and writing, is essentially borrowed, hence derivative. To put it bluntly: computers themselves don't mean anything by their tokens (any more than books do)-they only mean what we say they do. Genuine understanding, on the other hand, is intentional "in its own right" and not derivatively from something else. (Haugeland, 1981a, pp. 32-33)he debate over the possibility of computer thought will never be won or lost; it will simply cease to be of interest, like the previous debate over man as a clockwork mechanism. (Bolter, 1984, p. 190)t takes us a long time to emotionally digest a new idea. The computer is too big a step, and too recently made, for us to quickly recover our balance and gauge its potential. It's an enormous accelerator, perhaps the greatest one since the plow, twelve thousand years ago. As an intelligence amplifier, it speeds up everything-including itself-and it continually improves because its heart is information or, more plainly, ideas. We can no more calculate its consequences than Babbage could have foreseen antibiotics, the Pill, or space stations.Further, the effects of those ideas are rapidly compounding, because a computer design is itself just a set of ideas. As we get better at manipulating ideas by building ever better computers, we get better at building even better computers-it's an ever-escalating upward spiral. The early nineteenth century, when the computer's story began, is already so far back that it may as well be the Stone Age. (Rawlins, 1997, p. 19)According to weak AI, the principle value of the computer in the study of the mind is that it gives us a very powerful tool. For example, it enables us to formulate and test hypotheses in a more rigorous and precise fashion than before. But according to strong AI the computer is not merely a tool in the study of the mind; rather the appropriately programmed computer really is a mind in the sense that computers given the right programs can be literally said to understand and have other cognitive states. And according to strong AI, because the programmed computer has cognitive states, the programs are not mere tools that enable us to test psychological explanations; rather, the programs are themselves the explanations. (Searle, 1981b, p. 353)What makes people smarter than machines? They certainly are not quicker or more precise. Yet people are far better at perceiving objects in natural scenes and noting their relations, at understanding language and retrieving contextually appropriate information from memory, at making plans and carrying out contextually appropriate actions, and at a wide range of other natural cognitive tasks. People are also far better at learning to do these things more accurately and fluently through processing experience.What is the basis for these differences? One answer, perhaps the classic one we might expect from artificial intelligence, is "software." If we only had the right computer program, the argument goes, we might be able to capture the fluidity and adaptability of human information processing. Certainly this answer is partially correct. There have been great breakthroughs in our understanding of cognition as a result of the development of expressive high-level computer languages and powerful algorithms. However, we do not think that software is the whole story.In our view, people are smarter than today's computers because the brain employs a basic computational architecture that is more suited to deal with a central aspect of the natural information processing tasks that people are so good at.... hese tasks generally require the simultaneous consideration of many pieces of information or constraints. Each constraint may be imperfectly specified and ambiguous, yet each can play a potentially decisive role in determining the outcome of processing. (McClelland, Rumelhart & Hinton, 1986, pp. 3-4)Historical dictionary of quotations in cognitive science > Computers
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