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41 BFS
1) Общая лексика: БТЭО2) Компьютерная техника: Block File Structure, Breadth first search3) Медицина: burning foot syndrome4) Военный термин: British Frontier Service, base facilities for SACLANT, battlefield surveillance, отпечаток задней поверхности (Back Face Signature)6) Математика: базисное возможное решение (basic feasible solution)7) Финансы: Bankable Feasibility Study8) Автомобильный термин: brake fluid sensor9) Грубое выражение: Big Fucking Sword10) Металлургия: (blast furnace slag) доменный шлак11) Оптика: best fit sphere12) Сокращение: Bundesanstalt fur Flugsicherung13) Университет: Best Of Four Subjects14) Вычислительная техника: загрузочная файловая система15) Сетевые технологии: boot file system16) Автоматика: base file system17) Химическое оружие: boilers and fuel storage18) Фармация: Выдувание-Наполнение-Запечатывание (Blow-Fill-Seal machine - станок, применяемый при асептическом упаковывании различных жидких веществ), Формовка-Фасовка-Запечатывание (Blow-Fill-Seal machine - станок, применяемый при асептическом упаковывании различных жидких веществ)19) NYSE. Saul Centers, Inc.20) Аэропорты: Belfast, Northern Ireland, UK -
42 Cartwright, Revd Edmund
[br]b. 24 April 1743 Marnham, Nottingham, Englandd. 30 October 1823 Hastings, Sussex, England[br]English inventor of the power loom, a combing machine and machines for making ropes, bread and bricks as well as agricultural improvements.[br]Edmund Cartwright, the fourth son of William Cartwright, was educated at Wakefield Grammar School, and went to University College, Oxford, at the age of 14. By special act of convocation in 1764, he was elected Fellow of Magdalen College. He married Alice Whitaker in 1772 and soon after was given the ecclesiastical living of Brampton in Derbyshire. In 1779 he was presented with the living of Goadby, Marwood, Leicestershire, where he wrote poems, reviewed new works, and began agricultural experiments. A visit to Matlock in the summer of 1784 introduced him to the inventions of Richard Arkwright and he asked why weaving could not be mechanized in a similar manner to spinning. This began a remarkable career of inventions.Cartwright returned home and built a loom which required two strong men to operate it. This was the first attempt in England to develop a power loom. It had a vertical warp, the reed fell with the weight of at least half a hundredweight and, to quote Gartwright's own words, "the springs which threw the shuttle were strong enough to throw a Congreive [sic] rocket" (Strickland 19.71:8—for background to the "rocket" comparison, see Congreve, Sir William). Nevertheless, it had the same three basics of weaving that still remain today in modern power looms: shedding or dividing the warp; picking or projecting the shuttle with the weft; and beating that pick of weft into place with a reed. This loom he proudly patented in 1785, and then he went to look at hand looms and was surprised to see how simply they operated. Further improvements to his own loom, covered by two more patents in 1786 and 1787, produced a machine with the more conventional horizontal layout that showed promise; however, the Manchester merchants whom he visited were not interested. He patented more improvements in 1788 as a result of the experience gained in 1786 through establishing a factory at Doncaster with power looms worked by a bull that were the ancestors of modern ones. Twenty-four looms driven by steam-power were installed in Manchester in 1791, but the mill was burned down and no one repeated the experiment. The Doncaster mill was sold in 1793, Cartwright having lost £30,000, However, in 1809 Parliament voted him £10,000 because his looms were then coming into general use.In 1789 he began working on a wool-combing machine which he patented in 1790, with further improvements in 1792. This seems to have been the earliest instance of mechanized combing. It used a circular revolving comb from which the long fibres or "top" were. carried off into a can, and a smaller cylinder-comb for teasing out short fibres or "noils", which were taken off by hand. Its output equalled that of twenty hand combers, but it was only relatively successful. It was employed in various Leicestershire and Yorkshire mills, but infringements were frequent and costly to resist. The patent was prolonged for fourteen years after 1801, but even then Cartwright did not make any profit. His 1792 patent also included a machine to make ropes with the outstanding and basic invention of the "cordelier" which he communicated to his friends, including Robert Fulton, but again it brought little financial benefit. As a result of these problems and the lack of remuneration for his inventions, Cartwright moved to London in 1796 and for a time lived in a house built with geometrical bricks of his own design.Other inventions followed fast, including a tread-wheel for cranes, metallic packing for pistons in steam-engines, and bread-making and brick-making machines, to mention but a few. He had already returned to agricultural improvements and he put forward suggestions in 1793 for a reaping machine. In 1801 he received a prize from the Board of Agriculture for an essay on husbandry, which was followed in 1803 by a silver medal for the invention of a three-furrow plough and in 1805 by a gold medal for his essay on manures. From 1801 to 1807 he ran an experimental farm on the Duke of Bedford's estates at Woburn.From 1786 until his death he was a prebendary of Lincoln. In about 1810 he bought a small farm at Hollanden near Sevenoaks, Kent, where he continued his inventions, both agricultural and general. Inventing to the last, he died at Hastings and was buried in Battle church.[br]Principal Honours and DistinctionsBoard of Agriculture Prize 1801 (for an essay on agriculture). Society of Arts, Silver Medal 1803 (for his three-furrow plough); Gold Medal 1805 (for an essay on agricultural improvements).Bibliography1785. British patent no. 1,270 (power loom).1786. British patent no. 1,565 (improved power loom). 1787. British patent no. 1,616 (improved power loom).1788. British patent no. 1,676 (improved power loom). 1790, British patent no. 1,747 (wool-combing machine).1790, British patent no. 1,787 (wool-combing machine).1792, British patent no. 1,876 (improved wool-combing machine and rope-making machine with cordelier).Further ReadingM.Strickland, 1843, A Memoir of the Life, Writings and Mechanical Inventions of Edmund Cartwright, D.D., F.R.S., London (remains the fullest biography of Cartwright).Dictionary of National Biography (a good summary of Cartwright's life). For discussions of Cartwright's weaving inventions, see: A.Barlow, 1878, The History and Principles of Weaving by Hand and by Power, London; R.L. Hills, 1970, Power in the Industrial Revolution, Manchester. F.Nasmith, 1925–6, "Fathers of machine cotton manufacture", Transactions of theNewcomen Society 6.H.W.Dickinson, 1942–3, "A condensed history of rope-making", Transactions of the Newcomen Society 23.W.English, 1969, The Textile Industry, London (covers both his power loom and his wool -combing machine).RLHBiographical history of technology > Cartwright, Revd Edmund
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43 Language
Philosophy is written in that great book, the universe, which is always open, right before our eyes. But one cannot understand this book without first learning to understand the language and to know the characters in which it is written. It is written in the language of mathematics, and the characters are triangles, circles, and other figures. Without these, one cannot understand a single word of it, and just wanders in a dark labyrinth. (Galileo, 1990, p. 232)It never happens that it [a nonhuman animal] arranges its speech in various ways in order to reply appropriately to everything that may be said in its presence, as even the lowest type of man can do. (Descartes, 1970a, p. 116)It is a very remarkable fact that there are none so depraved and stupid, without even excepting idiots, that they cannot arrange different words together, forming of them a statement by which they make known their thoughts; while, on the other hand, there is no other animal, however perfect and fortunately circumstanced it may be, which can do the same. (Descartes, 1967, p. 116)Human beings do not live in the object world alone, nor alone in the world of social activity as ordinarily understood, but are very much at the mercy of the particular language which has become the medium of expression for their society. It is quite an illusion to imagine that one adjusts to reality essentially without the use of language and that language is merely an incidental means of solving specific problems of communication or reflection. The fact of the matter is that the "real world" is to a large extent unconsciously built on the language habits of the group.... We see and hear and otherwise experience very largely as we do because the language habits of our community predispose certain choices of interpretation. (Sapir, 1921, p. 75)It powerfully conditions all our thinking about social problems and processes.... No two languages are ever sufficiently similar to be considered as representing the same social reality. The worlds in which different societies live are distinct worlds, not merely the same worlds with different labels attached. (Sapir, 1985, p. 162)[A list of language games, not meant to be exhaustive:]Giving orders, and obeying them- Describing the appearance of an object, or giving its measurements- Constructing an object from a description (a drawing)Reporting an eventSpeculating about an eventForming and testing a hypothesisPresenting the results of an experiment in tables and diagramsMaking up a story; and reading itPlay actingSinging catchesGuessing riddlesMaking a joke; and telling itSolving a problem in practical arithmeticTranslating from one language into anotherLANGUAGE Asking, thanking, cursing, greeting, and praying-. (Wittgenstein, 1953, Pt. I, No. 23, pp. 11 e-12 e)We dissect nature along lines laid down by our native languages.... The world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... No individual is free to describe nature with absolute impartiality but is constrained to certain modes of interpretation even while he thinks himself most free. (Whorf, 1956, pp. 153, 213-214)We dissect nature along the lines laid down by our native languages.The categories and types that we isolate from the world of phenomena we do not find there because they stare every observer in the face; on the contrary, the world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... We are thus introduced to a new principle of relativity, which holds that all observers are not led by the same physical evidence to the same picture of the universe, unless their linguistic backgrounds are similar or can in some way be calibrated. (Whorf, 1956, pp. 213-214)9) The Forms of a Person's Thoughts Are Controlled by Unperceived Patterns of His Own LanguageThe forms of a person's thoughts are controlled by inexorable laws of pattern of which he is unconscious. These patterns are the unperceived intricate systematizations of his own language-shown readily enough by a candid comparison and contrast with other languages, especially those of a different linguistic family. (Whorf, 1956, p. 252)It has come to be commonly held that many utterances which look like statements are either not intended at all, or only intended in part, to record or impart straightforward information about the facts.... Many traditional philosophical perplexities have arisen through a mistake-the mistake of taking as straightforward statements of fact utterances which are either (in interesting non-grammatical ways) nonsensical or else intended as something quite different. (Austin, 1962, pp. 2-3)In general, one might define a complex of semantic components connected by logical constants as a concept. The dictionary of a language is then a system of concepts in which a phonological form and certain syntactic and morphological characteristics are assigned to each concept. This system of concepts is structured by several types of relations. It is supplemented, furthermore, by redundancy or implicational rules..., representing general properties of the whole system of concepts.... At least a relevant part of these general rules is not bound to particular languages, but represents presumably universal structures of natural languages. They are not learned, but are rather a part of the human ability to acquire an arbitrary natural language. (Bierwisch, 1970, pp. 171-172)In studying the evolution of mind, we cannot guess to what extent there are physically possible alternatives to, say, transformational generative grammar, for an organism meeting certain other physical conditions characteristic of humans. Conceivably, there are none-or very few-in which case talk about evolution of the language capacity is beside the point. (Chomsky, 1972, p. 98)[It is] truth value rather than syntactic well-formedness that chiefly governs explicit verbal reinforcement by parents-which renders mildly paradoxical the fact that the usual product of such a training schedule is an adult whose speech is highly grammatical but not notably truthful. (R. O. Brown, 1973, p. 330)he conceptual base is responsible for formally representing the concepts underlying an utterance.... A given word in a language may or may not have one or more concepts underlying it.... On the sentential level, the utterances of a given language are encoded within a syntactic structure of that language. The basic construction of the sentential level is the sentence.The next highest level... is the conceptual level. We call the basic construction of this level the conceptualization. A conceptualization consists of concepts and certain relations among those concepts. We can consider that both levels exist at the same point in time and that for any unit on one level, some corresponding realizate exists on the other level. This realizate may be null or extremely complex.... Conceptualizations may relate to other conceptualizations by nesting or other specified relationships. (Schank, 1973, pp. 191-192)The mathematics of multi-dimensional interactive spaces and lattices, the projection of "computer behavior" on to possible models of cerebral functions, the theoretical and mechanical investigation of artificial intelligence, are producing a stream of sophisticated, often suggestive ideas.But it is, I believe, fair to say that nothing put forward until now in either theoretic design or mechanical mimicry comes even remotely in reach of the most rudimentary linguistic realities. (Steiner, 1975, p. 284)The step from the simple tool to the master tool, a tool to make tools (what we would now call a machine tool), seems to me indeed to parallel the final step to human language, which I call reconstitution. It expresses in a practical and social context the same understanding of hierarchy, and shows the same analysis by function as a basis for synthesis. (Bronowski, 1977, pp. 127-128)t is the language donn eґ in which we conduct our lives.... We have no other. And the danger is that formal linguistic models, in their loosely argued analogy with the axiomatic structure of the mathematical sciences, may block perception.... It is quite conceivable that, in language, continuous induction from simple, elemental units to more complex, realistic forms is not justified. The extent and formal "undecidability" of context-and every linguistic particle above the level of the phoneme is context-bound-may make it impossible, except in the most abstract, meta-linguistic sense, to pass from "pro-verbs," "kernals," or "deep deep structures" to actual speech. (Steiner, 1975, pp. 111-113)A higher-level formal language is an abstract machine. (Weizenbaum, 1976, p. 113)Jakobson sees metaphor and metonymy as the characteristic modes of binarily opposed polarities which between them underpin the two-fold process of selection and combination by which linguistic signs are formed.... Thus messages are constructed, as Saussure said, by a combination of a "horizontal" movement, which combines words together, and a "vertical" movement, which selects the particular words from the available inventory or "inner storehouse" of the language. The combinative (or syntagmatic) process manifests itself in contiguity (one word being placed next to another) and its mode is metonymic. The selective (or associative) process manifests itself in similarity (one word or concept being "like" another) and its mode is metaphoric. The "opposition" of metaphor and metonymy therefore may be said to represent in effect the essence of the total opposition between the synchronic mode of language (its immediate, coexistent, "vertical" relationships) and its diachronic mode (its sequential, successive, lineal progressive relationships). (Hawkes, 1977, pp. 77-78)It is striking that the layered structure that man has given to language constantly reappears in his analyses of nature. (Bronowski, 1977, p. 121)First, [an ideal intertheoretic reduction] provides us with a set of rules"correspondence rules" or "bridge laws," as the standard vernacular has it-which effect a mapping of the terms of the old theory (T o) onto a subset of the expressions of the new or reducing theory (T n). These rules guide the application of those selected expressions of T n in the following way: we are free to make singular applications of their correspondencerule doppelgangers in T o....Second, and equally important, a successful reduction ideally has the outcome that, under the term mapping effected by the correspondence rules, the central principles of T o (those of semantic and systematic importance) are mapped onto general sentences of T n that are theorems of Tn. (P. Churchland, 1979, p. 81)If non-linguistic factors must be included in grammar: beliefs, attitudes, etc. [this would] amount to a rejection of the initial idealization of language as an object of study. A priori such a move cannot be ruled out, but it must be empirically motivated. If it proves to be correct, I would conclude that language is a chaos that is not worth studying.... Note that the question is not whether beliefs or attitudes, and so on, play a role in linguistic behavior and linguistic judgments... [but rather] whether distinct cognitive structures can be identified, which interact in the real use of language and linguistic judgments, the grammatical system being one of these. (Chomsky, 1979, pp. 140, 152-153)23) Language Is Inevitably Influenced by Specific Contexts of Human InteractionLanguage cannot be studied in isolation from the investigation of "rationality." It cannot afford to neglect our everyday assumptions concerning the total behavior of a reasonable person.... An integrational linguistics must recognize that human beings inhabit a communicational space which is not neatly compartmentalized into language and nonlanguage.... It renounces in advance the possibility of setting up systems of forms and meanings which will "account for" a central core of linguistic behavior irrespective of the situation and communicational purposes involved. (Harris, 1981, p. 165)By innate [linguistic knowledge], Chomsky simply means "genetically programmed." He does not literally think that children are born with language in their heads ready to be spoken. He merely claims that a "blueprint is there, which is brought into use when the child reaches a certain point in her general development. With the help of this blueprint, she analyzes the language she hears around her more readily than she would if she were totally unprepared for the strange gabbling sounds which emerge from human mouths. (Aitchison, 1987, p. 31)Looking at ourselves from the computer viewpoint, we cannot avoid seeing that natural language is our most important "programming language." This means that a vast portion of our knowledge and activity is, for us, best communicated and understood in our natural language.... One could say that natural language was our first great original artifact and, since, as we increasingly realize, languages are machines, so natural language, with our brains to run it, was our primal invention of the universal computer. One could say this except for the sneaking suspicion that language isn't something we invented but something we became, not something we constructed but something in which we created, and recreated, ourselves. (Leiber, 1991, p. 8)Historical dictionary of quotations in cognitive science > Language
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44 dyeing
1) крашение
2) окрашивание
3) красильный
4) подкрашивание
5) красящий
6) окрашивающий
– acid dyeing
– azoic dyeing
– basic dyeing
– brush dyeing
– continuous dyeing
– direct dyeing
– disperse dyeing
– double-bath dyeing
– dyeing and decorating
– dyeing drum
– dyeing machine
– dyeing strip
– dyeing temperature
– dyeing vat
– jig dyeing machine
– machine dyeing
– one-bath dyeing
– uniform dyeing
circulating dyeing machine — рециркуляционная красильная машина
penetrating-type dyeing machine — красильная пропиточная машина
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45 principle
noun1) Prinzip, dasbe based on the principle that... — auf dem Grundsatz basieren, dass...
basic principle — Grundprinzip, das
go back to first principles — zu den Grundlagen zurückgehen
in principle — im Prinzip
it's the principle [of the thing] — es geht [dabei] ums Prinzip
a man of high principle or strong principles — ein Mann von od. mit hohen Prinzipien
do something on principle or as a matter of principle — etwas prinzipiell od. aus Prinzip tun
2) (Phys.) Lehrsatz, der* * *['prinsəpəl]1) (a general truth, rule or law: the principle of gravity.) das Gesetz2) (the theory by which a machine etc works: the principle of the jet engine.) die Grundregel•- academic.ru/117990/principles">principles- in principle
- on principle* * *prin·ci·ple[ˈprɪn(t)səpl̩]non Socialist \principles nach sozialistischen Prinzipienthe elementary \principles of physics die Grundgesetze pl der Physikto function [or operate] on a \principle nach einem Prinzip funktionieren\principle of conservation of energy Energieerhaltungssatz m\principle of least restraint Prinzip nt des kleinsten Zwangesit's the \principle of the thing es geht [dabei] ums Prinzipcheating is against my \principles Betrug verstößt gegen meine Prinzipiento be a man of \principle ein Mann mit Prinzipien [o Grundsätzen] seinto stick to one's \principles an seinen Prinzipien festhalten5.▶ in \principle im Prinzip▶ on [or as a matter of] \principle aus Prinzip* * *['prInsɪpl]n1) Prinzip ntto go back to first principles — zu den Grundlagen zurückgehen
in/on principle — im/aus Prinzip, prinzipiell
a man of principle(s) — ein Mensch mit or von Prinzipien or Grundsätzen
it's a matter of principle, it's the principle of the thing — es geht dabei ums Prinzip
I'm doing it for reasons of principle — ich tue das aus Prinzip
3) (= basic element) Element nt* * *principle [ˈprınsəpl] s1. Prinzip n, Grundsatz m:a man of principle ein Mann mit Prinzipien oder Grundsätzen;principle of efficiency Leistungsprinzip2. (Grund-)Prinzip n, (-)Regel f, Leitsatz m:principle of law Rechtsgrundsatz m;in principle im Prinzip, prinzipiell;on principle aus Prinzip, prinzipiell, grundsätzlich;on the principle that … nach dem Grundsatz, dass …3. Grundwahrheit f, -begriff m, -lehre f, Prinzip n:principle of averages Mittelwertsatz;principle of least action Prinzip der geringsten Wirkung;5. Grund(lage) m(f), Quelle f, Ursprung m, treibende Kraft6. Grundzug m, Charakteristikum n7. CHEM Grundbestandteil mprin. abk1. principal (principally)2. principle* * *noun1) Prinzip, dason the principle that... — nach dem Grundsatz, dass...
be based on the principle that... — auf dem Grundsatz basieren, dass...
basic principle — Grundprinzip, das
it's the principle [of the thing] — es geht [dabei] ums Prinzip
a man of high principle or strong principles — ein Mann von od. mit hohen Prinzipien
do something on principle or as a matter of principle — etwas prinzipiell od. aus Prinzip tun
2) (Phys.) Lehrsatz, der* * *n.Grundsatz m.Prinzip -ien n.Ursache -n f. -
46 Ashley, Howard Matravers
[br]b. 1841d. 1914 England[br]English inventor of the semi-automatic bottle-making machine.[br]Ashley, manager of an iron foundry at Ferrybridge, Yorkshire, began trying to construct a bottle-making machine in the 1880s. In 1886 he obtained a patent for a two-stage machine. This proved to be impracticable, but improvements were described in further patents in 1887 and 1889, leading to a three-stage process, embodying the basic elements of a machine to make narrow-necked glass bottles. The Ashley (Machine-Made) Bottle Company was set up to exploit the invention, but had failed by 1894 due to poor management, although it had claimed to make bottles in a tenth of the time taken to make them by hand. Ashley had shown the way, however, and his machines were still producing good bottles in 1918. The process was a stage along the way to complete mechanization brought about by M.J. Owens's machine.[br]BibliographyAshley took out nine British patents during 1886–90, including: 2 July 1886, British patent no. 8,677 (two-stage bottle-making machine).Further ReadingR.E.Moody, 1985, "A century of mechanical bottle making", Glass Technology 26 (2): 109 ff.LRDBiographical history of technology > Ashley, Howard Matravers
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47 Johnson, Eldridge Reeves
SUBJECT AREA: Recording[br]b. 18 February 1867 Wilmington, Delaware, USAd. 14 November 1945 Moorestown, New Jersey, USA[br]American industrialist, founder and owner of the Victor Talking Machine Company; developer of many basic constructions in mechanical sound recording and the reproduction and manufacture of gramophone records.[br]He graduated from the Dover Academy (Delaware) in 1882 and was apprenticed in a machine-repair firm in Philadelphia and studied in evening classes at the Spring Garden Institute. In 1888 he took employment in a small Philadelphia machine shop owned by Andrew Scull, specializing in repair and bookbinding machinery. After travels in the western part of the US, in 1891 he became a partner in Scull \& Johnson, Manufacturing Machinists, and established a further company, the New Jersey Wire Stitching Machine Company. He bought out Andrew Scull's interest in October 1894 (the last instalment being paid in 1897) and became an independent general machinist. In 1896 he had perfected a spring motor for the Berliner flat-disc gramophone, and he started experimenting with a more direct method of recording in a spiral groove: that of cutting in wax. Co-operation with Berliner eventually led to the incorporation of the Victor Talking Machine Company in 1901. The innumerable court cases stemming from the fact that so many patents for various elements in sound recording and reproduction were in very many hands were brought to an end in 1903 when Johnson was material in establishing cross-licencing agreements between Victor, Columbia Graphophone and Edison to create what is known as a patent pool. Early on, Johnson had a thorough experience in all matters concerning the development and manufacture of both gramophones and records. He made and patented many major contributions in all these fields, and his approach was very business-like in that the contribution to cost of each part or process was always a decisive factor in his designs. This attitude was material in his consulting work for the sister company, the Gramophone Company, in London before it set up its own factories in 1910. He had quickly learned the advantages of advertising and of providing customers with durable equipment and records. This motivation was so strong that Johnson set up a research programme for determining the cause of wear in records. It turned out to depend on groove profile, and from 1911 one particular profile was adhered to and processes for transforming the grooves of valuable earlier records were developed. Without precise measuring instruments, he used the durability as the determining factor. Johnson withdrew more and more to the role of manager, and the Victor Talking Machine Company gained such a position in the market that the US anti-trust legislation was used against it. However, a generation change in the Board of Directors and certain erroneous decisions as to product line started a decline, and in February 1926 Johnson withdrew on extended sick leave: these changes led to the eventual sale of Victor. However, Victor survived due to the advent of radio and the electrification of replay equipment and became a part of Radio Corporation of America. In retirement Johnson took up various activities in the arts and sciences and financially supported several projects; his private yacht was used in 1933 in work with the Smithsonian Institution on a deep-sea hydrographie and fauna-collecting expedition near Puerto Rico.[br]BibliographyJohnson's patents were many, and some were fundamental to the development of the gramophone, such as: US patent no. 650,843 (in particular a recording lathe); US patent nos. 655,556, 655,556 and 679,896 (soundboxes); US patent no. 681,918 (making the original conductive for electroplating); US patent no. 739,318 (shellac record with paper label).Further ReadingMrs E.R.Johnson, 1913, "Eldridge Reeves Johnson (1867–1945): Industrial pioneer", manuscript (an account of his early experience).E.Hutto, Jr, "Emile Berliner, Eldridge Johnson, and the Victor Talking Machine Company", Journal of AES 25(10/11):666–73 (a good but brief account based on company information).E.R.Fenimore Johnson, 1974, His Master's Voice was Eldridge R.Johnson, Milford, Del.(a very personal biography by his only son).GB-NBiographical history of technology > Johnson, Eldridge Reeves
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48 Kurtz, Thomas E.
SUBJECT AREA: Electronics and information technology[br]b. USA[br]American mathematician who, with Kemeny developed BASIC, a high-level computer language.[br]Kurtz took his first degree in mathematics at the University of California in Los Angeles (UCLA), where he also gained experience in numerical methods as a result of working in the National Bureau of Standards Institute for Numerical Analysis located on the campus. In 1956 he obtained a PhD in statistics at Princeton, after which he took up a post as an instructor at Dartmouth College in Hanover, New Hampshire. There he found a considerable interest in computing was already in existence, and he was soon acting as the Dartmouth contact with the New England Regional Computer Center at Massachusetts Institute of Technology, an initiative partly supported by IBM. With Kemeny, he learned the Share Assembly Language then in use, but they were concerned about the difficulty of programming computers in assembly language and of teaching it to students and colleagues at Dartmouth. In 1959 the college obtained an LGP-30 computer and Kurtz became the first Director of the Dartmouth Computer Center. However, the small memory (4 k) of this 30-bit machine precluded its use with the recently available high-level language Algol 58. Therefore, with Kemeny, he set about developing a simple language and operating system that would use simple English commands and be easy to learn and use. This they called the Beginners All-purpose Symbolic Instruction Code (BASIC). At the same time they jointly supervised the design and development of a time-sharing system suitable for college use, so that by 1964, when Kurtz became an associate professor of mathematics, they had a fully operational BASIC system; by 1969 a sixth version was already in existence. In 1966 Kurtz left Dartmouth to become a Director of the Kiewit Computer Center, and then, in 1975, he became a Director of the Office of Academic Computing; in 1978 he returned to Dartmouth as Professor of Mathematics. He also served on various national committees.[br]Bibliography1964, with J.G.Kemeny, BASIC Instruction Manual: Dartmouth College (for details of the development of BASIC etc.).1968, with J.G.Kemeny "Dartmouth time-sharing", Science 223.Further ReadingR.L.Wexelblat, 1981, History of Programming Languages, London: Academic Press (a more general view of the development of computer languages).KF -
49 Lee, Revd William
SUBJECT AREA: Textiles[br]d. c. 1615[br]English inventor of the first knitting machine, called the stocking frame.[br]It would seem that most of the stories about Lee's invention of the stocking frame cannot be verified by any contemporary evidence, and the first written accounts do not appear until the second half of the seventeenth century. The claim that he was Master of Arts from St John's College, Cambridge, was first made in 1607 but cannot be checked because the records have not survived. The date for the invention of the knitting machine as being 1589 was made at the same time, but again there is no supporting evidence. There is no evidence that Lee was Vicar of Calverton, nor that he was in Holy Orders at all. Likewise there is no evidence for the existence of the woman, whether she was girlfriend, fiancée or wife, who is said to have inspired the invention, and claims regarding the involvement of Queen Elizabeth I and her refusal to grant a patent because the stockings were wool and not silk are also without contemporary foundation. Yet the first known reference shows that Lee was the inventor of the knitting machine, for the partnership agreement between him and George Brooke dated 6 June 1600 states that "William Lee hath invented a very speedy manner of making works usually wrought by knitting needles as stockings, waistcoats and such like". This agreement was to last for twenty-two years, but terminated prematurely when Brooke was executed for high treason in 1603. Lee continued to try and exploit his invention, for in 1605 he described himself as "Master of Arts" when he petitioned the Court of Aldermen of the City of London as the first inventor of an engine to make silk stockings. In 1609 the Weavers' Company of London recorded Lee as "a weaver of silk stockings by engine". These petitions suggest that he was having difficulty in establishing his invention, which may be why in 1612 there is a record of him in Rouen, France, where he hoped to have better fortune. If he had been invited there by Henry IV, his hopes were dashed by the assassination of the king soon afterwards. He was to supply four knitting machines, and there is further evidence that he was in France in 1615, but it is thought that he died in that country soon afterwards.The machine Lee invented was probably the most complex of its day, partly because the need to use silk meant that the needles were very fine. Henson (1970) in 1831 took five pages in his book to describe knitting on a stocking frame which had over 2,066 pieces. To knit a row of stitches took eleven separate stages, and great care and watchfulness were required to ensure that all the loops were equal and regular. This shows how complex the machines were and points to Lee's great achievement in actually making one. The basic principles of its operation remained unaltered throughout its extraordinarily long life, and a few still remained in use commercially in the early 1990s.[br]Further ReadingJ.T.Millington and S.D.Chapman (eds), 1989, Four Centuries of Machine Knitting, Commemorating William Lee's Invention of the Stocking Frame in 1589, Leicester (N.Harte examines the surviving evidence for the life of William Lee and this must be considered as the most up-to-date biographical information).Dictionary of National Biography (this contains only the old stories).Earlier important books covering Lee's life and invention are G.Henson, 1970, History of the Framework Knitters, reprint, Newton Abbot (orig. pub. 1831); and W.Felkin, 1967, History of the Machine-wrought Hosiery and Lace Manufactures, reprint, Newton Abbot (orig. pub. 1867).M.Palmer, 1984, Framework Knitting, Aylesbury (a simple account of the mechanism of the stocking frame).R.L.Hills, "William Lee and his knitting machine", Journal of the Textile Institute 80(2) (a more detailed account).M.Grass and A.Grass, 1967, Stockings for a Queen. The Life of William Lee, the Elizabethan Inventor, London.RLH -
50 Artificial Intelligence
In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, EventuallyJust as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the ProgramMany problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)[AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract FormThe basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)There are many different kinds of reasoning one might imagine:Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory FormationIt is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)We might distinguish among four kinds of AI.Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)16) Determination of Relevance of Rules in Particular ContextsEven if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)19) A Statement of the Primary and Secondary Purposes of Artificial IntelligenceThe primary goal of Artificial Intelligence is to make machines smarter.The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)21) Perceptual Structures Can Be Represented as Lists of Elementary PropositionsIn artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)Historical dictionary of quotations in cognitive science > Artificial Intelligence
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51 language
1) языка) естественный язык, средство человеческого общенияб) система знаков, жестов или сигналов для передачи или хранения информациив) стильг) речь2) языкознание, лингвистика•- actor language
- agent communication language
- a-hardware programming language - application-oriented language
- applicative language
- a-programming language
- artificial language
- assembler language
- assembly language
- assignment language
- author language
- authoring language - business-oriented programming language
- categorical language - configuration language
- constraint language
- combined programming language
- command language
- common language
- common business-oriented language
- compiled language
- compiler language
- computer language
- computer-dependent language - computer-oriented language
- computer-sensitive language
- concurrent language - context- sensitive language
- conversational language
- coordinate language
- database language
- database query language - data structure language
- digital system design language
- declarative language
- declarative markup language
- definitional language
- definitional constraint language
- design language
- device media control language - dynamically scoped language - elementary formalized language
- embedding language
- event-driven language
- expression language
- extensible language - formalized language - functional language
- functional programming language - graph-oriented language - high-order language
- host language - hypersymbol language
- imperative language
- in-line language
- input language
- intelligent language
- interactive language - interpreted language - Java programming language - lexically scoped language
- list-processing language
- low-level language
- machine language
- machine-independent language
- machine-oriented language
- macro language
- manipulator language - meta language
- mnemonic language
- musical language - native-mode language
- natural language - nonprocedural language
- object language
- object-oriented language - physical language
- picture query language
- portable language
- portable standard language
- polymorphic language - print control language
- problem-oriented language
- problem statement language
- procedural language
- procedure-oriented language
- program language
- programming language
- publishing language
- query language
- question-answering language
- register-transfer language
- regular language
- relational language
- right-associative language
- robot language
- robot-level language
- robotic control language
- rule language
- rule-oriented language
- scientific programming language
- script language
- scripting language - sign language
- single-assignment language
- software command language
- source language
- special-purpose programming language
- specification language - stratified language
- stream language
- string-handling language - strongly-typed language - symbolic language - thing language - tone language
- two-dimensional pictorial query language
- typed language
- typeless language
- unchecked language
- unformalized language
- universal language
- unstratified language
- untyped language
- user-oriented language
- very high-level language - well-structured programming language -
52 language
1) языка) естественный язык, средство человеческого общенияб) система знаков, жестов или сигналов для передачи или хранения информациив) стильг) речь2) языкознание, лингвистика•- a programming language
- abstract machine language
- actor language
- agent communication language
- algebraic logic functional language
- algorithmic language
- amorhic language
- application-oriented language
- applicative language
- artificial language
- assembler language
- assembly language
- assignment language
- author language
- authoring language
- axiomatic architecture description language
- basic combined programming language
- block-structured language
- boundary scan description language
- business-oriented language
- business-oriented programming language
- categorical abstract machine language
- categorical language
- cellular language
- combined programming language
- command language
- common business-oriented language
- common language
- compiled language
- compiler language
- computer hardware description language
- computer language
- computer-dependent language
- computer-independent language
- computer-oriented language
- computer-sensitive language
- concurrent language
- configuration language
- constraint language
- context-free language
- context-sensitive language
- conversational language
- coordinate language
- data definition language
- data description language
- data manipulation language
- data structure language
- database language
- database query language
- declarative language
- declarative markup language
- definitional constraint language
- definitional language
- design language
- device media control language
- digital system design language
- document style semantics and specification language
- domain-specific language
- dynamic hypertext markup language
- dynamic simulation language
- dynamically scoped language
- elementary formalized language
- embedding language
- event-driven language
- expression language
- extensible hypertext markup language
- extensible language
- extensible markup language
- fabricated language
- fifth-generation language
- first-generation language
- formal language
- formalized language
- fourth-generation language
- frame language
- function graph language
- functional language
- functional programming language
- geometrical layout description language
- graphics language
- graph-oriented language
- hardware description language
- Hewlett-Packard graphics language
- Hewlett-Packard printer control language
- high-level language
- high-order language
- host language
- hypersymbol language
- hypertext markup language plus
- hypertext markup language
- imperative language
- in-line language
- input language
- intelligent language
- interactive language
- interactive set language
- intermediate language
- interpreted language
- Java interface definition language
- Java language
- Java programming language
- job control language
- Jules' own version of the international algorithmic language
- knowledge query and manipulation language
- left-associative language
- lexically scoped language
- list-processing language
- low-level language
- machine language
- machine-independent language
- machine-oriented language
- macro language
- manipulator language
- man-machine language
- mathematical markup language
- matrix-based programming language
- meta language
- mnemonic language
- musical language
- my favorite toy language
- native language
- native-mode language
- natural language
- network control language
- network description language
- noninteractive language
- nonprocedural language
- object language
- object-oriented language
- page description language
- parallel object-oriented language
- partial differential equation language
- pattern-matching language
- physical language
- picture query language
- polymorphic language
- portable language
- portable standard language
- practical extraction and report language
- prescriptive language
- print control language
- problem statement language
- problem-oriented language
- procedural language
- procedure-oriented language
- program language
- programming language
- publishing language
- query language
- question-answering language
- register-transfer language
- regular language
- relational language
- right-associative language
- robot language
- robotic control language
- robot-level language
- rule language
- rule-oriented language
- scientific programming language
- script language
- scripting language
- second-generation language
- sense language
- server-parsed hypertext markup language
- set language
- sign language
- simulation language
- single-assignment language
- software command language
- source language
- special-purpose programming language
- specification and assertion language
- specification language
- stack-based language
- standard generalized markup language
- statically scoped language
- stratified language
- stream language
- string-handling language
- string-oriented symbolic language
- string-processing language
- strongly-typed language
- structural design language
- structured query language
- subset language
- symbolic language
- symbolic layout description language
- synchronized multimedia integration language
- target language
- thing language
- third-generation language
- threaded language
- tone language
- two-dimensional pictorial query language
- typed language
- typeless language
- unchecked language
- unformalized language
- universal language
- unstratified language
- untyped language
- user-oriented language
- very high-level language
- very-high-speed integrated circuit hardware description language
- Vienna definition language
- virtual reality modeling language
- visual language
- well-structured programming language
- wireless markup languageThe New English-Russian Dictionary of Radio-electronics > language
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53 ABC
1) Общая лексика: hum. сокр. Across Breed Comparison, алфавитный указатель (железнодорожный), атомный, биологический и химический, букварь, железнодорожный алфавитный указатель, начатки, простейший, простой, самые простые знания и понятия, азбука, алфавит, азбука, алфавит, основы2) Компьютерная техника: Abstract Base Class, Approximate Bootstrap Confidence, Atanasoff Berry Computer4) Спорт: Adventure Balance And Challenge, Agility Balance And Coordination, American Bowling Congress, Another Blowout Coming, Anybody But Carolina, Association Of Boxing Commissions5) Военный термин: Advanced Blade Concept, Air Bridge to Canada, Airborne Command, Airborne Corps, All Blocks Covered, Allied Baltic Command, American, British, and Canadian, American-British-Canadian, Army Battle Command, Asian Brown Cloud, Atomic Bacterial Chemical, advanced basing concept, advanced biomedical capsule, air bubble craft, airborne cigar, airborne control, assistant beach commander6) Техника: ABC method, American bibliographic benter, absolute binary code, after bottom center, after bottom dead center, air-blast cooled, augmented bibliographic citation, automatic bass control, automatic bias compensation, automatic blip counter, блок питания накала, анода и сетки, справочник железнодорожных станций с расписанием поездов7) Сельское хозяйство: abscess8) Шутливое выражение: A Bored Capitalist, A Boring Channel, Absolute Best Channel, Absolutely Boring Comedy, All Bout Cancellations, Already Been Cancelled, Always Be Cool, Always Burn Colorado, Americas Bin Collapsed, Another Bad Choice, Another Book Club, Anything But Chaos, Anything But Competence, The Almost Broadcasting Company9) Химия: Alkali Bearing Carrier10) Религия: A Better Chance, About Bethlehem Centers, Adult Bible Community, Agape Book Club, All Believe Confess, American Bible Channel, Arts Based Church, грамота, азы11) Железнодорожный термин: Air Brakes And Chain12) Юридический термин: A Big Clue, Alcohol Beverage Control, Always Be Careful, Attorneys, Bankers, And Cpas, transaction13) Бухгалтерия: Accountability Basics And Control, Analyze Bill And Control14) Фармакология: abacavir (абакавир)15) Финансы: анализ затрат по видам16) Австралийский сленг: Australian Broadcasting Corporation, австралийский государственный телерадиоканал17) Ветеринария: Agricultural Biotechnology Center18) Грубое выражение: A Big Cockup, Absolute Bullshit Channel, Absolutely Bloody Crap, Always Be Caucasian, Always Been Crappy, Anything But Crap19) Горное дело: наставление, памятка, руководство, элементарный курс20) Кино: Эй-би-си21) Политика: Anybody But Clinton22) Презрительное выражение: American Born Chinese23) Телевидение: automatic brightness limiter24) Сокращение: Activity Based Costing (2002), Activity Based Costing, Advanced Ballistic Concept, Advanced Bar Code: 62 bar POSTNET code representing 11 digit ZIP (see DPBC), Advanced/ing Blade Concept, Aerated Bread Company, Alcoholic Beverage Control, All-purpose Ballastable Crawler, All-purpose Battle Computer, America, Britain & Canada, American Broadcast Company, American Broadcasting Corporation, Argentina, Brazil, Chile, Aruba, Bonaire, And Curacao, Associated British Pictures Corporation, Atomic, Bacteriological, Chemical (warfare), Atomic, Biological / Bacteriological & Chemical, Audit Bureau of Circulations Inc. (for 2nd class permit audits), Australian Broadcasting Commission, Automatic Boost Control, Automatic Brightness Control, atomic, bacteriological and chemical, atomic, biological and chemical, American Broadcasting Company, вычислительная машина Атанасова - Берри (Atanasoff-Berry Computer - first digital calculating machine that used vacuum tubes), American Brahma Club (Американский клуб специалистов по разведению кур породы бра(х)мапутра), American Bowling Congress (Американский конгресс (федерация клубов) игры в боулинг (кегли)), Arab Banking Corporation (Арабская банковская ассоциация), Automotive Booster Clubs International (Международная федерация клубов продавцов автомобильных запасных частей (США)), Associated British Cinemas (Объединение английских кинотеатров), automatic bass compensation (автоматическая коррекция нижних (звуковых) частот), automatic background control (автоматическая регулировка яркости( фона)), automatic blade control (автоматическое управление отвалом (плуга, бульдозера и т.п.)), accounting and budgetary control (бухгалтерско-бюджетный контроль), automatic binary computer (двоичная автоматическая вычислительная машина (устаревший термин)), air blast cooled (с воздушным охлаждением), aggregate base course (щебеночный подстилающий слой), Already Been Chewed, Absorbing boundary condition25) Университет: About Basic Composition, Academics Business And Community, Anchorage Basic Curriculum, Atlantic Baptist College26) Физиология: Absolute Brain Control, Abstinence Behavioral Change, Airway Breathing And Circulation, Airway Breathing Circulation, Airway Breathing Cold, Always Breastfeed Children, Aspiration, Biopsy, Cytology, Atp Binding Cassette, Automated Blood Collection27) Электроника: Already Been Converted, Automatic Background Calibration28) Вычислительная техника: Atanasoff-Berry Computer (First digital calculating machine that used vacuum tubes), activity-based costing, analog boundary cell, American Broadcasting Company (Corporate name), классы построения приложения, оплата на базе фактического использования, функционально-стоимостный анализ29) Нефть: automatic bandwidth control, control30) Иммунология: Adaptive Behavior Center, Antibody Binding Capacity, antigen-binding capacity, Avidin and Biotinylated horseradish peroxidase macro-molecular Complex31) Онкология: Advanced Breast Cancer32) Португальский язык: Бразильская академия наук (сокр. от Academia Brasileira de Ciências = Brazilian Academy of Sciences)33) Транспорт: Air Brake Converted, Aluminum Brass Chrome34) Пищевая промышленность: Absolute Best Chewy, All Beer Cleaning, Apples, Bananas, And Carrots, Applesauce, Bran, and Cinnamon35) Воздухоплавание: Advance Booking Charter36) Двигатели внутреннего сгорания: после нижней мёртвой точки, за нижней мёртвой точкой (сокр. от after bottom (dead) centre)37) Фирменный знак: Alpha Beta Camera, Antwerp Book Capital, Associated British Corporation38) Экология: Association of Boards of Certification for Operating Personnel in Water and Wastewater Utilities, Association of British Climatologists39) Реклама: Бюро по Исследованию Тиражей США40) СМИ: Access Beauty And Character, Always Be Canceling my favorite shows, American Broadcasting Companies, Associated British Cinemas, Audit Bureau Of Circulation, Audit Bureau Of Circulations, Australian Broadcasting Company41) Деловая лексика: A Better Company, A Board Committed, A Business Commitment, Allocation Budget And Contract, Always Be Closing, Always Bring Cash, Analysis Building And Cleaning, Appropriate Business Casual, расчёт себестоимости по объёму хозяйственной стоимости (Activity Based Costing)42) Глоссарий компании Сахалин Энерджи: type of fire extinguisher43) Образование: Anti Bullying Commitee, Attentional Behavioral Cognitive, Attitude Behavior Consistency44) Сетевые технологии: Application Building Classes45) Полимеры: assisted biological coagulation46) Макаров: начальные положения, элементарный, элементы47) Аэродинамика: концепция набегающей (идущей вперёд) лопасти (летательного аппарата с вращающимися крыльями) (сокр. от advancing-blade concept)48) Военно-морской флот: главный старшина авиационной боцманской команды (на авианосце) (сокр. от Chief Aviation Boatswain's Mate)49) Расширение файла: ABC FlowCharter Document, ABC programming language General filename extension, Musical notation language file (folk melodies)50) Нефть и газ: advanced blending control51) Электротехника: armored bushing cable52) Молекулярная биология: adenosine triphosphate-binding cassette53) ООН: A Bunch of Communists54) Общественная организация: American Bird Conservancy55) НАСА: Active Body Control56) Библиотечное дело: American Bibliographical Center57) Базы данных: Alphabetically Based Computerized58) Альпинизм: advanced base camp -
54 abc
1) Общая лексика: hum. сокр. Across Breed Comparison, алфавитный указатель (железнодорожный), атомный, биологический и химический, букварь, железнодорожный алфавитный указатель, начатки, простейший, простой, самые простые знания и понятия, азбука, алфавит, азбука, алфавит, основы2) Компьютерная техника: Abstract Base Class, Approximate Bootstrap Confidence, Atanasoff Berry Computer4) Спорт: Adventure Balance And Challenge, Agility Balance And Coordination, American Bowling Congress, Another Blowout Coming, Anybody But Carolina, Association Of Boxing Commissions5) Военный термин: Advanced Blade Concept, Air Bridge to Canada, Airborne Command, Airborne Corps, All Blocks Covered, Allied Baltic Command, American, British, and Canadian, American-British-Canadian, Army Battle Command, Asian Brown Cloud, Atomic Bacterial Chemical, advanced basing concept, advanced biomedical capsule, air bubble craft, airborne cigar, airborne control, assistant beach commander6) Техника: ABC method, American bibliographic benter, absolute binary code, after bottom center, after bottom dead center, air-blast cooled, augmented bibliographic citation, automatic bass control, automatic bias compensation, automatic blip counter, блок питания накала, анода и сетки, справочник железнодорожных станций с расписанием поездов7) Сельское хозяйство: abscess8) Шутливое выражение: A Bored Capitalist, A Boring Channel, Absolute Best Channel, Absolutely Boring Comedy, All Bout Cancellations, Already Been Cancelled, Always Be Cool, Always Burn Colorado, Americas Bin Collapsed, Another Bad Choice, Another Book Club, Anything But Chaos, Anything But Competence, The Almost Broadcasting Company9) Химия: Alkali Bearing Carrier10) Религия: A Better Chance, About Bethlehem Centers, Adult Bible Community, Agape Book Club, All Believe Confess, American Bible Channel, Arts Based Church, грамота, азы11) Железнодорожный термин: Air Brakes And Chain12) Юридический термин: A Big Clue, Alcohol Beverage Control, Always Be Careful, Attorneys, Bankers, And Cpas, transaction13) Бухгалтерия: Accountability Basics And Control, Analyze Bill And Control14) Фармакология: abacavir (абакавир)15) Финансы: анализ затрат по видам16) Австралийский сленг: Australian Broadcasting Corporation, австралийский государственный телерадиоканал17) Ветеринария: Agricultural Biotechnology Center18) Грубое выражение: A Big Cockup, Absolute Bullshit Channel, Absolutely Bloody Crap, Always Be Caucasian, Always Been Crappy, Anything But Crap19) Горное дело: наставление, памятка, руководство, элементарный курс20) Кино: Эй-би-си21) Политика: Anybody But Clinton22) Презрительное выражение: American Born Chinese23) Телевидение: automatic brightness limiter24) Сокращение: Activity Based Costing (2002), Activity Based Costing, Advanced Ballistic Concept, Advanced Bar Code: 62 bar POSTNET code representing 11 digit ZIP (see DPBC), Advanced/ing Blade Concept, Aerated Bread Company, Alcoholic Beverage Control, All-purpose Ballastable Crawler, All-purpose Battle Computer, America, Britain & Canada, American Broadcast Company, American Broadcasting Corporation, Argentina, Brazil, Chile, Aruba, Bonaire, And Curacao, Associated British Pictures Corporation, Atomic, Bacteriological, Chemical (warfare), Atomic, Biological / Bacteriological & Chemical, Audit Bureau of Circulations Inc. (for 2nd class permit audits), Australian Broadcasting Commission, Automatic Boost Control, Automatic Brightness Control, atomic, bacteriological and chemical, atomic, biological and chemical, American Broadcasting Company, вычислительная машина Атанасова - Берри (Atanasoff-Berry Computer - first digital calculating machine that used vacuum tubes), American Brahma Club (Американский клуб специалистов по разведению кур породы бра(х)мапутра), American Bowling Congress (Американский конгресс (федерация клубов) игры в боулинг (кегли)), Arab Banking Corporation (Арабская банковская ассоциация), Automotive Booster Clubs International (Международная федерация клубов продавцов автомобильных запасных частей (США)), Associated British Cinemas (Объединение английских кинотеатров), automatic bass compensation (автоматическая коррекция нижних (звуковых) частот), automatic background control (автоматическая регулировка яркости( фона)), automatic blade control (автоматическое управление отвалом (плуга, бульдозера и т.п.)), accounting and budgetary control (бухгалтерско-бюджетный контроль), automatic binary computer (двоичная автоматическая вычислительная машина (устаревший термин)), air blast cooled (с воздушным охлаждением), aggregate base course (щебеночный подстилающий слой), Already Been Chewed, Absorbing boundary condition25) Университет: About Basic Composition, Academics Business And Community, Anchorage Basic Curriculum, Atlantic Baptist College26) Физиология: Absolute Brain Control, Abstinence Behavioral Change, Airway Breathing And Circulation, Airway Breathing Circulation, Airway Breathing Cold, Always Breastfeed Children, Aspiration, Biopsy, Cytology, Atp Binding Cassette, Automated Blood Collection27) Электроника: Already Been Converted, Automatic Background Calibration28) Вычислительная техника: Atanasoff-Berry Computer (First digital calculating machine that used vacuum tubes), activity-based costing, analog boundary cell, American Broadcasting Company (Corporate name), классы построения приложения, оплата на базе фактического использования, функционально-стоимостный анализ29) Нефть: automatic bandwidth control, control30) Иммунология: Adaptive Behavior Center, Antibody Binding Capacity, antigen-binding capacity, Avidin and Biotinylated horseradish peroxidase macro-molecular Complex31) Онкология: Advanced Breast Cancer32) Португальский язык: Бразильская академия наук (сокр. от Academia Brasileira de Ciências = Brazilian Academy of Sciences)33) Транспорт: Air Brake Converted, Aluminum Brass Chrome34) Пищевая промышленность: Absolute Best Chewy, All Beer Cleaning, Apples, Bananas, And Carrots, Applesauce, Bran, and Cinnamon35) Воздухоплавание: Advance Booking Charter36) Двигатели внутреннего сгорания: после нижней мёртвой точки, за нижней мёртвой точкой (сокр. от after bottom (dead) centre)37) Фирменный знак: Alpha Beta Camera, Antwerp Book Capital, Associated British Corporation38) Экология: Association of Boards of Certification for Operating Personnel in Water and Wastewater Utilities, Association of British Climatologists39) Реклама: Бюро по Исследованию Тиражей США40) СМИ: Access Beauty And Character, Always Be Canceling my favorite shows, American Broadcasting Companies, Associated British Cinemas, Audit Bureau Of Circulation, Audit Bureau Of Circulations, Australian Broadcasting Company41) Деловая лексика: A Better Company, A Board Committed, A Business Commitment, Allocation Budget And Contract, Always Be Closing, Always Bring Cash, Analysis Building And Cleaning, Appropriate Business Casual, расчёт себестоимости по объёму хозяйственной стоимости (Activity Based Costing)42) Глоссарий компании Сахалин Энерджи: type of fire extinguisher43) Образование: Anti Bullying Commitee, Attentional Behavioral Cognitive, Attitude Behavior Consistency44) Сетевые технологии: Application Building Classes45) Полимеры: assisted biological coagulation46) Макаров: начальные положения, элементарный, элементы47) Аэродинамика: концепция набегающей (идущей вперёд) лопасти (летательного аппарата с вращающимися крыльями) (сокр. от advancing-blade concept)48) Военно-морской флот: главный старшина авиационной боцманской команды (на авианосце) (сокр. от Chief Aviation Boatswain's Mate)49) Расширение файла: ABC FlowCharter Document, ABC programming language General filename extension, Musical notation language file (folk melodies)50) Нефть и газ: advanced blending control51) Электротехника: armored bushing cable52) Молекулярная биология: adenosine triphosphate-binding cassette53) ООН: A Bunch of Communists54) Общественная организация: American Bird Conservancy55) НАСА: Active Body Control56) Библиотечное дело: American Bibliographical Center57) Базы данных: Alphabetically Based Computerized58) Альпинизм: advanced base camp -
55 principle
'prinsəpəl1) (a general truth, rule or law: the principle of gravity.) principio2) (the theory by which a machine etc works: the principle of the jet engine.) principio•- in principle
- on principle
principle n principioI can't do that, it is against my principles no puedo hacer eso, va en contra de mis principiostr['prɪnsɪpəl]2 (moral rule) principio\SMALLIDIOMATIC EXPRESSION/SMALLin principle en principioon principle por principioprinciple ['prɪntsəpəl] n: principio madj.• principio, -a adj.n.• principio s.m.• regla s.f.'prɪnsəpəl1) c (basic fact, law) principio mon that principle — sobre esa base, partiendo de esa base
2) c u ( rule of conduct) principio ma man/woman of (high) principle — un hombre/una mujer de principios
I never borrow money, on principle o as a matter of principle — nunca pido dinero prestado, por principio
['prɪnsǝpl]N (also Sci) principio mthe principle that... — el principio según el cual...
to lay it down as a principle that... — sentar el principio de que...
•
it is or it goes against my principles — va (en) contra (de) mis principios•
to go back to first principles — volver a los principios (fundamentales)•
to have high principles — tener principios nobles•
in principle — en principioto reach an agreement in principle — llegar a un acuerdo de principio or en principio
•
I make it a principle never to lend money — tengo por norma no prestar nunca dinero, yo, por principio, nunca presto dinero•
as a matter of principle — por principio•
a man/woman of (high) principles — un hombre/una mujer de principios (nobles)guiding•
on principle — por principio, por una cuestión de principios* * *['prɪnsəpəl]1) c (basic fact, law) principio mon that principle — sobre esa base, partiendo de esa base
2) c u ( rule of conduct) principio ma man/woman of (high) principle — un hombre/una mujer de principios
I never borrow money, on principle o as a matter of principle — nunca pido dinero prestado, por principio
-
56 system
1) система || системный3) вчт операционная система; программа-супервизор5) вчт большая программа6) метод; способ; алгоритм•system halted — "система остановлена" ( экранное сообщение об остановке компьютера при наличии серьёзной ошибки)
- CPsystem- H-system- h-system- hydrogen-air/lead battery hybrid system- Ksystem- Lsystem- L*a*b* system- master/slave computer system- p-system- y-system- Δ-system -
57 tool
noun1) Werkzeug, das; (garden tool) Gerät, dasset of tools — Werkzeug, das; see also academic.ru/22067/down">down III 4. 3)
2) (machine) Werkzeugmaschine, diepen and paper are the writer's basic tools — Feder und Papier sind das wichtigste Handwerkszeug des Schriftstellers
the tools of the trade — das Handwerkszeug; das Rüstzeug
6) (fig.): (person) Werkzeug, das* * *[tu:l](an instrument for doing work, especially by hand: hammers, saws and other tools; the tools of his trade; Advertising is a powerful tool.) das Werkzeug* * *[tu:l]I. npower \tool Elektrowerkzeug ntto be a \tool of the trade zum Handwerkszeug gehörenII. vt▪ to \tool sth etw bearbeiten* * *[tuːl]1. n1) Werkzeug nt; (= gardening tool) (Garten)gerät nt; (COMPUT) Tool nt, Hilfsmittel nt, Dienstprogramm ntto have the tools for the job — das richtige or nötige Werkzeug haben
2) (fig: person) Werkzeug nt2. vtbook, leather punzen* * *tool [tuːl]A s1. Werkzeug n, Gerät n, Instrument n:tools pl koll Handwerkszeug;burglar’s tools pl Einbruchswerkzeug;gardener’s tools pl Gartengerät2. TECHa) (Bohr-, Schneide- etc) Werkzeug n (einer Maschine)b) Arbeits-, Drehstahl m3. TECHa) Werkzeugmaschine fb) Drehbank f4. a) Stempelfigur f (der Punzarbeit auf einem Bucheinband)b) (Präge)Stempel m5. IT Tool n (Programm, das innerhalb eines anderen Programms zusätzliche Aufgaben übernimmt)6. figa) Handwerkszeug n, (Hilfs)Mittel n (Bücher etc)b) Rüstzeug n (Fachwissen etc)7. fig pej Werkzeug n, Handlanger m, Kreatur f (eines anderen)8. Br sl Kanone f (Revolver)9. vulg Schwanz m (Penis)B v/t1. TECH bearbeiten3. einen Bucheinband punzen, mit Stempel verzierenC v/i1. oft tool up die nötigen Maschinen aufstellen (in einer Fabrik), sich (maschinell) ausrüsten ( for für)* * *noun1) Werkzeug, das; (garden tool) Gerät, dasset of tools — Werkzeug, das; see also down III 4. 3)
2) (machine) Werkzeugmaschine, diepen and paper are the writer's basic tools — Feder und Papier sind das wichtigste Handwerkszeug des Schriftstellers
the tools of the trade — das Handwerkszeug; das Rüstzeug
6) (fig.): (person) Werkzeug, das* * *(computers) n.Hilfsprogramm n. n.Gerät -e n. -
58 control
1) управление; регулирование || управлять; регулировать2) контроль || контролировать3) управляющее устройство; устройство управления; регулятор4) профессиональное мастерство, квалификация, техническая квалификация5) pl органы управления•"in control" — "в поле допуска" ( о результатах измерения)
to control closed loop — управлять в замкнутой системе; регулировать в замкнутой системе
- 2-handed controlsto control open loop — управлять в разомкнутой системе; регулировать в разомкнутой системе
- 32-bit CPU control
- acceptance control
- access control
- acknowledge control
- active process control
- adaptable control
- adaptive constraint control
- adaptive control for optimization
- adaptive control
- adaptive feed rate control
- adaptive quality control
- adjustable feed control
- adjustable rotary control
- adjustable speed control
- adjusting control
- adjustment control
- AI control
- air logic control
- analog data distribution and control
- analogical control
- analytical control
- application control
- arrows-on-curves control
- autodepth control
- autofeed control
- automated control of a document management system
- automated technical control
- automatic backlash control
- automatic control
- automatic editing control
- automatic gain control
- automatic gripper control
- automatic level control
- automatic process closed loop control
- automatic remote control
- automatic sensitivity control
- automatic sequence control
- automatic speed control
- automatic stability controls
- auxiliaries control
- balanced controls
- band width control
- bang-bang control
- bang-bang-off control
- basic CNC control
- batch control
- bibliographic control
- bin level control
- boost control
- built-in control
- button control
- cam control
- cam throttle control
- camshaft control
- carriage control
- Cartesian path control
- Cartesian space control
- cascade control
- C-axis spindle control
- cell control
- center control
- central control
- central supervisory control
- centralized control
- centralized electronic control
- central-station control
- changeover control
- chip control
- circumferential register control
- close control
- closed cycle control
- closed loop control
- closed loop machine control
- closed loop manual control
- closed loop numerical control
- closed loop position control
- clutch control
- CNC control
- CNC indexer control
- CNC programmable control
- CNC symbolic conversational control
- CNC/CRT control
- CNC/MDI control
- coarse control
- coded current control
- coded current remote control
- color control
- combination control
- command-line control
- compensatory control
- composition control
- compound control
- computed-current control
- computed-torque control
- computer control
- computer numerical control
- computer process control
- computer-aided measurement and control
- computer-integrated manufacturing control
- computerized control
- computerized numerical control
- computerized process control
- constant surface speed control
- constant value control
- contactless control
- contact-sensing control
- contamination control
- continuous control
- continuous path control
- continuous process control
- contour profile control
- contouring control
- conventional hardware control
- conventional numerical control
- conventional tape control
- convergent control
- conversational control
- conversational MDI control
- coordinate positioning control
- coordinate programmable control
- copymill control
- counter control
- crossed controls
- current control
- cycle control
- dash control
- data link control
- data storage control
- deadman's handle controls
- depth control
- derivative control
- dial-in control
- differential control
- differential gaging control
- differential gain control
- differential temperature control
- digital brushless servo control
- digital control
- digital position control
- digital readout controls
- dimensional control
- direct computer control
- direct control
- direct digital control
- direct numerical control
- direction control
- directional control
- dirt control
- discontinuous control
- discrete control
- discrete event control
- discrete logic controls
- dispatching control
- displacement control
- distance control
- distant control
- distributed control
- distributed numerical control
- distributed zone control
- distribution control
- dog control
- drum control
- dual control
- dual-mode control
- duplex control
- dust control
- dynamic control
- eccentric control
- edge position control
- EDP control
- electrical control
- electrofluidic control
- electromagnetic control
- electronic control
- electronic level control
- electronic speed control
- electronic swivel control
- elevating control
- emergency control
- end-point control
- engineering change control
- engineering control
- entity control
- environmental control
- error control
- error plus error-rate control
- error-free control
- external beam control
- factory-floor control
- false control
- feed control
- feed drive controls
- feedback control
- feed-forward control
- field control
- fine control
- finger-tip control
- firm-wired numerical control
- fixed control
- fixed-feature control
- fixture-and-tool control
- flexible-body control
- floating control
- flow control
- fluid flow control
- follow-up control
- foot pedal control
- force adaptive control
- forecasting compensatory control
- fork control
- four quadrant control
- freely programmable CNC control
- frequency control
- FROG control
- full computer control
- full order control
- full spindle control
- gage measurement control
- gain control
- ganged control
- gap control
- gear control
- generative numerical control
- generic path control
- geometric adaptive control
- graphic numerical control
- group control
- grouped control
- guidance control
- hairbreath control
- hand control
- hand feed control
- hand wheel control
- hand-held controls
- handle-type control
- hand-operated controls
- hardened computer control
- hardwared control
- hardwared numerical control
- heating control
- heterarchical control
- hierarchical control
- high-integrity control
- high-level robot control
- high-low control
- high-low level control
- high-technology control
- horizontal directional control
- humidity control
- hybrid control
- hydraulic control
- I/O control
- immediate postprocess control
- inching control
- in-cycle control
- independent control
- indexer control
- indirect control
- individual control
- industrial processing control
- industrial-style controls
- infinite control
- infinite speed control
- in-process control
- in-process size control
- in-process size diameters control
- input/output control
- integral CNC control
- integral control
- integrated control
- intelligent control
- interacting control
- interconnected controls
- interlinking control
- inventory control
- job control
- jogging control
- joint control
- joystick control
- just-in-time control
- language-based control
- laser health hazards control
- latching control
- lead control
- learning control
- lever control
- lever-operated control
- line motion control
- linear control
- linear path control
- linearity control
- load control
- load-frequency control
- local control
- local-area control
- logic control
- lubricating oil level control
- machine control
- machine programming control
- machine shop control
- macro control
- magnetic control
- magnetic tape control
- main computer control
- malfunction control
- management control
- manual control
- manual data input control
- manual stop control
- manually actuatable controls
- manufacturing change control
- manufacturing control
- master control
- material flow control
- MDI control
- measured response control
- mechanical control
- memory NC control
- memory-type control
- metering control
- metrological control of production field
- microbased control
- microcomputer CNC control
- microcomputer numerical control
- microcomputer-based sequence control
- microprocessor control
- microprocessor numerical control
- microprogrammed control
- microprogramming control
- milling control
- model reference adaptive control
- model-based control
- moisture control
- motion control
- motor control
- motor speed control
- mouse-driven control
- movable control
- multicircuit control
- multidiameter control
- multilevel control
- multimachine tool control
- multiple control
- multiple-processor control
- multiposition control
- multistep control
- multivariable control
- narrow-band proportional control
- navigation control
- NC control
- neural network adaptive control
- noise control
- noncorresponding control
- noninteracting control
- noninterfacing control
- nonreversable control
- nonsimultaneous control
- numerical contouring control
- numerical control
- numerical program control
- odd control
- off-line control
- oligarchical control
- on-board control
- one-axis point-to-point control
- one-dimensional point-to-point control
- on-line control
- on-off control
- open loop control
- open loop manual control
- open loop numerical control
- open-architecture control
- operating control
- operational control
- operator control
- optical pattern tracing control
- optimal control
- optimalizing control
- optimizing control
- oral numerical control
- organoleptic control
- overall control
- overheat control
- override control
- p. b. control
- palm control
- parameter adaptive control
- parameter adjustment control
- partial d.o.f. control
- path control
- pattern control
- pattern tracing control
- PC control
- PC-based control
- peg board control
- pendant control
- pendant-actuated control
- pendant-mounted control
- performance control
- photoelectric control
- physical alignment control
- PIC control
- PID control
- plugboard control
- plug-in control
- pneumatic control
- point-to-point control
- pose-to-pose control
- position/contouring numerical control
- position/force control
- positional control
- positioning control
- positive control
- postprocess quality control
- power adaptive control
- power control
- power feed control
- power-assisted control
- powered control
- power-operated control
- precision control
- predictor control
- preselective control
- preset control
- presetting control
- pressbutton control
- pressure control
- preview control
- process control
- process quality control
- production activity control
- production control
- production result control
- programmable adaptive control
- programmable cam control
- programmable control
- programmable logic adaptive control
- programmable logic control
- programmable machine control
- programmable microprocessor control
- programmable numerical control
- programmable sequence control
- proportional plus derivative control
- proportional plus floating control
- proportional plus integral control
- prototype control
- pulse control
- pulse duration control
- punched-tape control
- purpose-built control
- pushbutton control
- quality control
- radio remote control
- radium control
- rail-elevating control
- ram stroke control
- ram-positioning control
- rapid-traverse controls for the heads
- rate control
- ratio control
- reactive control
- real-time control
- reduced-order control
- register control
- registration control
- relay control
- relay-contactor control
- remote control
- remote program control
- remote switching control
- remote valve control
- remote-dispatch control
- resistance control
- resolved motion rate control
- retarded control
- reversal control
- revolution control
- rigid-body control
- robot control
- robot perimeter control
- robot teach control
- rod control
- safety control
- sampled-data control
- sampling control
- schedule control
- SCR's control
- second derivative control
- selective control
- selectivity control
- self-acting control
- self-adaptive control
- self-adjusting control
- self-aligning control
- self-operated control
- self-optimizing control
- self-programming microprocessor control
- semi-automatic control
- sensitivity control
- sensor-based control
- sequence control
- sequence-type control
- sequential control
- series-parallel control
- servo control
- servo speed control
- servomotor control
- servo-operated control
- set value control
- shaft speed control
- shape control
- shift control
- shop control
- shower and high-pressure oil temperature control
- shut off control
- sight control
- sign control
- single variable control
- single-flank control
- single-lever control
- size control
- slide control
- smooth control
- software-based NC control
- softwared numerical control
- solid-state logic control
- space-follow-up control
- speed control
- stabilizing control
- stable control
- standalone control
- start controls
- static control
- station control
- statistical quality control
- steering control
- step-by-step control
- stepless control
- stepped control
- stick control
- stock control
- stop controls
- stop-point control
- storage assignment control
- straight cut control
- straight line control
- stroke control
- stroke length control
- supervisor production control
- supervisory control
- swarf control
- switch control
- symbolic control
- synchronous data link control
- table control
- tap-depth controls
- tape control
- tape loop control
- teach controls
- temperature control
- temperature-humidity air control
- template control
- tension control
- test control
- thermal control
- thermostatic control
- three-axis contouring control
- three-axis point-to-point control
- three-axis tape control
- three-mode control
- three-position control
- throttle control
- thumbwheel control
- time control
- time cycle control
- time optimal control
- time variable control
- time-critical control
- time-proportional control
- timing control
- token-passing access control
- tool life control
- tool run-time control
- torque control
- total quality control
- touch-panel NC control
- touch-screen control
- tracer control
- tracer numerical control
- trajectory control
- triac control
- trip-dog control
- TRS/rate control
- tuning control
- turnstile control
- two-axis contouring control
- two-axis point-to-point control
- two-dimension control
- two-hand controls
- two-position control
- two-position differential gap control
- two-step control
- undamped control
- user-adjustable override controls
- user-programmable NC control
- variable flow control
- variable speed control
- variety control
- varying voltage control
- velocity-based look-ahead control
- vise control
- vision responsive control
- visual control
- vocabulary control
- vocal CNC control
- vocal numerical control
- voltage control
- warehouse control
- washdown control
- water-supply control
- welding control
- wheel control
- wide-band control
- zero set control
- zoned track controlEnglish-Russian dictionary of mechanical engineering and automation > control
-
59 program
программа; управляющая программа, УП || программировать; готовить УП- 3D machining programto download programs to individual machine controls — вводить УП ( из центральной ЭВМ системы) в УЧПУ отдельных станков
- absolute program
- ACC programs
- analysis programs
- application design automation program
- APT program
- APT source program
- assembly language program
- assembly program
- automated data preparation evaluation program
- automatic NC machining data generation programs
- automatic offset program
- auxiliary program
- axis driver scaling program
- basic control program
- BCL program
- benchmark program
- bureau computer program
- CAD program
- CAD/NC programs
- CAM-generated program
- canned generic NC program
- canned program
- cellular conversion program
- channel program
- circuit analysis program
- CNC inspection program
- CNC program
- CNC turning-center program
- collision-free program
- communication control program
- communications control program
- companion program
- compensation program
- complex tooling cost program
- component program
- computer program
- computer-aided design and evaluation program
- computer-stored part program
- consultation program
- contingency program
- continuous NC program
- contour milling program
- control I/O program
- control program
- control-resident program
- conversational program
- coolant-dispensing program
- cutter path program
- cutting program
- data editor program
- data fetch program
- data I/O program
- DCS program
- declarative program
- dexel program
- diagnosis program
- diagnostic program
- DMIS program
- DNC programs
- DOS program
- download program
- draft program
- edited program
- error-correcting program
- ESPRIT program
- evaluation program
- execute program
- executive program
- extension program
- externally generated program
- family program
- fault diagnosis program
- finished program
- finite-element program
- fixture-building program
- Fortran-based program
- functions program
- general program
- general-purpose program
- geometric modeling program
- goal-oriented program
- graphics program
- grinding program
- grinding wheel wear compensation program
- hard program
- hardwired program
- high priority program
- higher priority program
- ICAM programs
- implementation program
- incremental program
- initial loading program
- inspection program
- integer program
- interface program
- interpretative program
- interpreter program
- interpretive program
- jaw change program
- ladder logic program
- logic program
- low priority program
- lower priority program
- machine cutting program
- machine program
- machine tool program
- machining program
- main program
- maintenance programs
- malfunction analysis program
- management program
- manipulator-level program
- master program
- master software program
- MDI program
- measuring machine program
- mirror program
- MMS programs
- mode control program
- modeling program
- modified program
- monitoring program
- MS program
- MS-DOS programs
- multisequence program
- NC data generation programs
- NC program
- NC tape program
- NC verification program
- nonresident diagnostic program
- nonresident diagnostics program
- numerical control program
- numerically intensive program
- occupational health program
- occupational safety program
- off-line diagnostic program
- one-to-one program
- operator-activated program
- optimizing program
- order-picking program
- palletizing program
- part inspection program
- part program
- part-family program
- part-plan program
- pass through program
- path calculation program
- PC vision programs
- peripheral support program
- pilot program
- plain language program
- plugboard program
- postprocessor programs
- preprepared program
- preselected program
- preset program
- priority program
- production program
- proved program
- proven part program
- punched tape program
- quality programs
- read-in program
- refining program
- requesting part program
- returning control program
- reverse program
- robot control program
- robot execution program
- robot program
- rule-based program
- running program
- scaling program
- scheduling program
- sequential program
- service program
- simulation program
- SMSG program
- software control programs
- software programs
- source program
- SPC program
- spreadsheet program
- spreadsheet-based program
- standard machining program
- standard program
- stored program
- stress analysis program
- structural optimization program
- swarf-clearing program
- system program
- system's executive program
- tape program
- task program
- task-level program
- teaching operations function program
- temporary diagnostic program
- test program
- testing program
- thread program
- three-dimensional surface program
- time program
- tolerancing program
- tool animation program
- tool management program
- tooling program
- tool-plan program
- tool-setting program
- tool-tracking program
- tracing program
- trajectory translator program
- turnkey programs
- type-related program
- unproved program
- upload program
- up-to-date program
- user friendly program
- user I/O program
- user-extension program
- user-written program
- utility program
- vehicular behavior analysis program
- work program
- working program
- workpiece program
- workstation programEnglish-Russian dictionary of mechanical engineering and automation > program
-
60 Cognitive Science
The basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense.... [P]eople and intelligent computers turn out to be merely different manifestations of the same underlying phenomenon. (Haugeland, 1981b, p. 31)2) Experimental Psychology, Theoretical Linguistics, and Computational Simulation of Cognitive Processes Are All Components of Cognitive ScienceI went away from the Symposium with a strong conviction, more intuitive than rational, that human experimental psychology, theoretical linguistics, and computer simulation of cognitive processes were all pieces of a larger whole, and that the future would see progressive elaboration and coordination of their shared concerns.... I have been working toward a cognitive science for about twenty years beginning before I knew what to call it. (G. A. Miller, 1979, p. 9)Cognitive Science studies the nature of cognition in human beings, other animals, and inanimate machines (if such a thing is possible). While computers are helpful within cognitive science, they are not essential to its being. A science of cognition could still be pursued even without these machines.Computer Science studies various kinds of problems and the use of computers to solve them, without concern for the means by which we humans might otherwise resolve them. There could be no computer science if there were no machines of this kind, because they are indispensable to its being. Artificial Intelligence is a special branch of computer science that investigates the extent to which the mental powers of human beings can be captured by means of machines.There could be cognitive science without artificial intelligence but there could be no artificial intelligence without cognitive science. One final caveat: In the case of an emerging new discipline such as cognitive science there is an almost irresistible temptation to identify the discipline itself (as a field of inquiry) with one of the theories that inspired it (such as the computational conception...). This, however, is a mistake. The field of inquiry (or "domain") stands to specific theories as questions stand to possible answers. The computational conception should properly be viewed as a research program in cognitive science, where "research programs" are answers that continue to attract followers. (Fetzer, 1996, pp. xvi-xvii)What is the nature of knowledge and how is this knowledge used? These questions lie at the core of both psychology and artificial intelligence.The psychologist who studies "knowledge systems" wants to know how concepts are structured in the human mind, how such concepts develop, and how they are used in understanding and behavior. The artificial intelligence researcher wants to know how to program a computer so that it can understand and interact with the outside world. The two orientations intersect when the psychologist and the computer scientist agree that the best way to approach the problem of building an intelligent machine is to emulate the human conceptual mechanisms that deal with language.... The name "cognitive science" has been used to refer to this convergence of interests in psychology and artificial intelligence....This working partnership in "cognitive science" does not mean that psychologists and computer scientists are developing a single comprehensive theory in which people are no different from machines. Psychology and artificial intelligence have many points of difference in methods and goals.... We simply want to work on an important area of overlapping interest, namely a theory of knowledge systems. As it turns out, this overlap is substantial. For both people and machines, each in their own way, there is a serious problem in common of making sense out of what they hear, see, or are told about the world. The conceptual apparatus necessary to perform even a partial feat of understanding is formidable and fascinating. (Schank & Abelson, 1977, pp. 1-2)Within the last dozen years a general change in scientific outlook has occurred, consonant with the point of view represented here. One can date the change roughly from 1956: in psychology, by the appearance of Bruner, Goodnow, and Austin's Study of Thinking and George Miller's "The Magical Number Seven"; in linguistics, by Noam Chomsky's "Three Models of Language"; and in computer science, by our own paper on the Logic Theory Machine. (Newell & Simon, 1972, p. 4)Historical dictionary of quotations in cognitive science > Cognitive Science
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