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1 failure behavior
Englisch-Deutsch Fachwörterbuch der Wirtschaft > failure behavior
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2 failure behavior
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3 failure behavior
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4 failure behavior
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5 failure
повреждение; авария; неисправность; разрыв; излом; разрушение; поломка; авария; нарушение (работы); отказ (напр. работы оборудования); прекращение подачи (производственного продукта); пробой; неудача (эксперимента); недостаток; выход из строя; остановка в действии; перерыв в действии- failure analyzer - failure behavior - failure cause - failure chart - failure code table - failure conclusion - failure confirmation - failure cycle - failure density - failure in service - failure miles - failure of current - premature failure - spark failure - torsion failure - voltage failure -
6 prediction
1. прогноз; предсказание
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1. прогнозирование, предсказание2. прогноз, предварительная оценка
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прогноз, предсказание
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прогноз, предсказание
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1) прогнозирование, предсказание2) прогноз, предварительная оценка•- prediction of crude oil viscosity under reservoir conditions
- prediction of fluid behavior in situ
- prediction of oil-and-gas presence
- prediction of oil-field performance
- prediction of oil-recovery performance
- prediction of oil-reservoir performance under a variety of production methods
- failure prediction
- failure rate prediction
- fault prediction
- final reliability prediction
- maintainability prediction
- performance prediction
- recovery prediction
- reliability prediction
- reliability growth prediction
- rock property prediction* * *Англо-русский словарь нефтегазовой промышленности > prediction
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7 theory
теория; учение; принцип- theory of buckling - theory of constant energy of deformation - theory of elasticity - theory of plasticity - theory of plastic behaviour - theory of plates - theory of relativity - theory of semi-flexible shells - theory of shells - theory of strength of materials - theory of structures - theory of torsion - theory of vibrations - air-mass theory - applicable theory - beam theory - beam flexural theory - bending moment theory - creep theory - design theory - displacement theory of foundations - elasticity theory - erosion theory - folded-play theory - general theory of rigid shells - line-of-creep theory - magnetic theory - maximum shear theory - maximum strain theory - maximum stress theory - membrane theory of shells - plastic theory - plastic theory of failure - plastic theory of limit design - plastic theory of reinforced concrete design - probability theory - reliability theory - similarity theory - solid-state theory - statistical theory - straight line theory - strength theory - structural theory - wedge theory* * *теория; учение; принцип; гипотеза- theory of buckling
- theory of elasticity
- theory of elastic stability
- theories of failure
- theory of plastic behavior
- theory of plasticity
- theory of plates
- theory of shallow shells
- theory of shells
- theory of stability
- theory of structures
- theory of thin shells
- theory of torsion
- barrel theory
- beam flexural theory
- beam theory
- Beltra theory of failure
- bending theory
- bending-moment theory
- Boussinesq theory
- design theory
- dynamical theory of elasticity
- elastic theory
- folded-plate theory
- fracture mechanics theory
- Huber von Mises Hencky theory of failure
- linear plastic theory
- linearized theory
- maximum-distortion-energy theory
- maximum-shear theory of failure
- maximum-shear theory
- maximum-strain theory of failure
- maximum-strain theory
- maximum-strain-energy theory of failure
- maximum-strain-energy theory
- maximum-stress theory of failure
- maximum-stress theory
- membrane theory of shells
- Mohr's theory of failure
- momentless theory of shells
- nonlinear plastic theory
- one-dimensional compression and flow theory
- prevaling theory
- Rankine's theory
- rate-process theory
- shallow-shell theory
- shell theory
- similarity theory
- stability theory
- steady-state creep theory
- straight-line theory
- strength theory
- structural theory -
8 theory
- theory
- nтеория; учение; принцип; гипотеза
- theory of buckling
- theory of elasticity
- theory of elastic stability
- theories of failure
- theory of plastic behavior
- theory of plasticity
- theory of plates
- theory of shallow shells
- theory of shells
- theory of stability
- theory of structures
- theory of thin shells
- theory of torsion
- barrel theory
- beam flexural theory
- beam theory
- Beltra theory of failure
- bending theory
- bending-moment theory
- Boussinesq theory
- design theory
- dynamical theory of elasticity
- elastic theory
- folded-plate theory
- fracture mechanics theory
- Huber von Mises Hencky theory of failure
- linear plastic theory
- linearized theory
- maximum-distortion-energy theory
- maximum-shear theory of failure
- maximum-shear theory
- maximum-strain theory of failure
- maximum-strain theory
- maximum-strain-energy theory of failure
- maximum-strain-energy theory
- maximum-stress theory of failure
- maximum-stress theory
- membrane theory of shells
- Mohr's theory of failure
- momentless theory of shells
- nonlinear plastic theory
- one-dimensional compression and flow theory
- prevaling theory
- Rankine's theory
- rate-process theory
- shallow-shell theory
- shell theory
- similarity theory
- stability theory
- steady-state creep theory
- straight-line theory
- strength theory
- structural theory
Англо-русский строительный словарь. — М.: Русский Язык. С.Н.Корчемкина, С.К.Кашкина, С.В.Курбатова. 1995.
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9 bad
1 (worse, the worst) ცუდი, უხეირო, უვარგისიbad weather/ manners / news / smell ცუდი ამინდი / მანერები / ამბავი / სუნიshe looks / feels bad ცუდად გამოიყურება / გრძნობს თავს2 (worse, the worst) ძლიერი3 (worse, the worst) სერიოზული, მძიმეa bad mistake / illness სერიოზული / დიდი შეცდომა // მძიმე ავადმყოფობა4 (worse, the worst) ბოროტი, უზნეოa bad person ბოროტი (უზნეო) / ცუდი პიროვნებაhe leads a bad life უზნეო / უწესო ცხოვრებას ეწევაthe boy fell into bad company and went astray ბიჭი ცუდ წრეში მოხვდა და ცუდ გზას დაადგაbad-tempered მძიმე / ცუდი ხასიათის მქონეa bad / hard bargain ძვირად ყიდვა // არახელსაყრელი გარიგებაgood / bad / abominable behavior კარგი / ცუდი / საშინელი ყოფაქცევაhe is in everyone's good / bad books მას ყველა კარგი / ცუდი თვალით უყურებსhe is a bad character ცუდი ტიპია / პიროვნებააthey live in bad / reduced circumstances ცუდ პირობებში / ვიწროდ ცხოვრობენmy son keeps bad company ჩემი ვაჟი ცუდ წრეშია / წრეში ტრიალებსthe soup / fish went bad სუპი ამჟავდა // თევზი გაფუჭდაhe did it with a bad grace უხალისოდ გააკეთა / შეასრულა‘good' and 'bad' are contrary words "კარგი" და "ცუდი" საწინააღმდეგო მნიშვნელობის სიტყვებიაher behavior created a bad impression მისმა ქცევამ ცუდი შთაბეჭდილება დატოვაbad influence is destructive to a child ცუდი გავლენა ბავშვისათვის დამღუპველიაshe discriminates good people from bad კარგ და ცუდ ხალხს ერთმანეთისაგან არჩევსhis bad behavior was a distress to his mother მისი ცუდი ქცევა დედამისს გულს სტკენდაhad a good/bad dream კარგი / ცუდი სიზმარი ვნახეa bad egg ლაყე კვერცხი // უწესო / ფუქსავატი / უნდო / ლაყე პიროვნებაthat's a good/bad job საქმე კარგადაა/საქმე ცუდადააto do smb. a good / bad, ill turn ვინმესთვის კარგი / ცუდი სამსახურის გაწევაto make a good / bad start კარგად / ცუდად დაწყებაgood / bad marks კარგი / ცუდი ნიშნებიgood / bad news კარგი / ცუდი ამბავიhe was led astray by bad companions ცუდი ამხანაგების გვლენით მცდარ ზგას დაადგაshe looks well / bad კარგად / ცუდად გამოიყურებაit was bad luck I missed you! რა ცუდია, რომ აგცდი! -
10 characteristic
характеристика; характеристическая кривая; характерный параметр; характеристический; характерныйcollapsing characteristics of the gear — поведение [характеристики] шасси при поломке (в результате аварии, удара о землю)
explosive characteristics of fuel — взрывоопаспость топлива [горючего]
handling characteristics with autostabilization — характеристики управляемости (ЛА) с системой автостабилизации
handling characteristics without autostabilization — характеристики управляемости (ЛА) без системы автостабилизации
height control response characteristics — верт. характеристики управляемости по высоте
lift and drag characteristics — величины подъёмной силы и лобового сопротивления; зависимости подъёмной силы и лобового сопротивления
rough field handling characteristics — характеристики управляемости при движении по аэродрому с неровной поверхностью
s.f.c. characteristics — характеристики удельного расхода топлива [горючего]
Englsh-Russian aviation and space dictionary > characteristic
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11 Insight
In October 1838 that is, fifteen months after I had begun my systematic enquiry, I happened to read for amusement "Malthus on Population," and being well prepared to appreciate the struggle for existence which everywhere goes on from long-continued observation of the habits of animals and plants, it at once struck me that under these circumstances favorable variations would tend to be preserved, and unfavorable ones to be destroyed. (Darwin, 1911, p. 68)The insight of the chimpanzee shows itself to be principally determined by his optical apprehension of the situation. (KoЁhler, 1925, p. 267)Then I turned my attention to the study of some arithmetical questions apparently without much success and without a suspicion of any connection with my preceding researches. Disgusted with my failure, I went to spend a few days at the seaside, and thought of something else. One morning, walking on the bluff, the idea came to me, with just the same characteristics of brevity, suddenness and immediate certainty, that the arithmetic transformations of indeterminate ternary quadratic forms were identical with those of non-Euclidean geometry. (Poincareґ, 1929, p. 388)The direct awareness of determination... may also be called insight. When I once used this expression in a description of the intelligent behavior of apes, an unfortunate misunderstanding was, it seems, not entirely prevented.... Apparently, some readers interpreted this formulation as though it referred to a mysterious mental agent or faculty which was made responsible for the apes' behavior. Actually, nothing of this sort was intended... the concept is used in a strictly descriptive fashion. (KoЁhler, 1947, pp. 341-342)The task must be neither so easy that the animal solves the problem at once, thus not allowing one to analyze the solution; nor so hard that the animal fails to solve it except by rote learning in a long series of trials. With a problem of such borderline difficulty, the solution may appear out of a blue sky. There is a period first of fruitless effort in one direction, or perhaps a series of attempted solutions. Then suddenly there is a complete change in the direction of effort, and a cleancut solution of the task. This then is the first criterion of the occurrence of insight. The behavior cannot be described as a gradual accretion of learning; it is evident that something has happened in the animal at the moment of solution. (What happens is another matter.) (Hebb, 1949, p. 160)If the subject had not spontaneously solved the problem [of how to catch hold at the same time of two strings hung from the ceiling so wide apart that he or she could only get hold of one at a time, when the only available tool was a pair of pliers, by tying the pliers to one string and setting it into pendular motion] within ten minutes, Maier supplied him with a hint; he would "accidentally" brush against one of the strings, causing it to swing gently. Of those who solved the problem after this hint, the average interval between hint and solution was only forty-two seconds.... Most of those subjects who solved the problem immediately after the hint did so without any realization that they had been given one. The "idea" of making a pendulum with pliers seemed to arise spontaneously. (Osgood, 1960, p. 633)There seems to be very little reason to believe that solutions to novel problems come about in flashes of insight, independently of past experience.... People create solutions to new problems by starting with what they know and later modifying it to meet the specific problem at hand. (Weisberg, 1986, p. 50)Historical dictionary of quotations in cognitive science > Insight
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12 wilful
умисний, навмисний, свідомий; злісний; злий- wilful actwilful destruction of property of a law enforcement officer — умисне знищення майна працівника правоохоронного органу
- wilful behavior
- wilful behaviour
- wilful blindness
- wilful damage
- wilful deceit
- wilful default
- wilful defiance
- wilful defiance of an order
- wilful destruction
- wilful destruction of property
- wilful disobedience
- wilful endangering
- wilful failure
- wilful failure to pay salaries
- wilful failure to pay wages
- wilful homicide
- wilful infliction
- wilful killing
- wilful misrepresentation
- wilful murder
- wilful neglect
- wilful negligence
- wilful participant in a crime
- wilful participation
- wilful participator in a crime
- wilful refusal
- wilful violation -
13 chaos
1. Gen Mgta situation of unpredictability and rapid change. Chaos theory emerged in the 1970s as a mathematical concept that defied the theory of cause and effect to assert that behavior is essentially random. Such writers as Tom Peters, who wrote Thriving on Chaos in 1987, have applied the theory to management, arguing that attempts to plan and control management processes are fundamentally doomed to failure and that, instead, managers should embrace change and flexibility in order to cope with an environment that is altering at an everincreasing rate.2. Statsa situation in which a deterministic model displays behavior that appears to be random -
14 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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15 mode
2) мода, вид [форма, тип\] колебаний; вид [тип\] волн5) вчт. состояние6) швейн. мода•-
ablative pit-forming mode
-
abnormal mode
-
acceleration mode
-
access mode
-
accumulation mode
-
acoustic mode
-
acquisition mode
-
active mode
-
adaptive control mode
-
addressing mode
-
air-liquefaction mode
-
alternate mode
-
anticipation mode
-
approach mode
-
assemble mode
-
astable vibration mode
-
astable mode
-
automatic mode
-
automatic opening mode
-
automatic skinning mode
-
autopilot heading mode
-
autoposition mode
-
avalanche mode
-
axial mode
-
background mode
-
backward mode
-
backward propagating mode
-
backward scattering mode
-
backward scatter mode
-
backward traveling mode
-
bare resonator mode
-
basic mode
-
batch mode
-
birefringent mode
-
block mode
-
block-multiplex mode
-
bound modes
-
broadcast mode
-
buckling mode
-
burst mode
-
calibration mode
-
capture mode
-
cavity flipping mode
-
cavity mode
-
central mode
-
character generation mode
-
character mode
-
characteristic mode
-
charge-coupling mode
-
circularly polarized mode
-
cladding mode
-
clockwise polarized mode
-
coherently locked modes
-
cold mode
-
collective modes
-
command mode
-
common failure mode
-
common mode
-
compatibility mode
-
competing modes
-
compute mode
-
confined mode
-
constant cutting speed mode
-
constant speed mode
-
contention mode
-
continuous mode
-
continuous path mode
-
continuous-wave mode
-
contour modes
-
contradirectional modes
-
control mode
-
conversational mode
-
cooling mode
-
co-orbital mode
-
coplanar mode
-
core-guided mode
-
core mode
-
counterclockwise polarized mode
-
counterrotating circularly polarized modes
-
counting mode
-
coupled modes
-
cross polarized modes
-
cubic mode
-
current mode
-
current saving mode
-
cutoff mode
-
cutting mode
-
damped mode
-
data-processing mode
-
Debye-like mode
-
Debye mode
-
deceleration mode
-
deflected mode
-
degenerated mode
-
degenerate mode
-
depletion mode
-
design mode
-
dialog mode
-
difference mode
-
differential mode
-
diffraction-limited mode
-
diffusive mode
-
discrete mode
-
dispersion modes
-
display mode
-
distributed-feedback mode
-
DNC mode
-
dominant mode
-
double-pass mode
-
drift mode
-
dual-processing mode
-
duplex mode
-
dynamic mode
-
dynamic-scattering mode
-
E mode
-
edge mode
-
edit mode
-
eigen mode
-
electromagnetic mode
-
elementary mode
-
Emn mode
-
emulation mode
-
energy dissipating mode
-
enhancement mode
-
equal-loss modes
-
equally spaced modes
-
erase mode
-
evanescent mode
-
even mode
-
excited mode
-
exciting mode
-
executive mode
-
extensional mode
-
extraordinary mode
-
Fabry-Perot mode
-
face shear modes
-
fast mode
-
faulted mode
-
fiber mode
-
filamentary mode
-
first mode
-
flexural mode
-
forced mode
-
force mode
-
foreground mode
-
foreground-background mode
-
forward mode
-
forward propagating mode
-
forward scattering mode
-
forward scatter mode
-
forward shear mode
-
forward traveling mode
-
fracture mode
-
free-running mode
-
free-space mode
-
frequency-division multiplex mode
-
frequency-shift-keying mode
-
full program mode
-
full-duplex mode
-
fundamental mode
-
gated mode
-
gate mode
-
Gaussian mode
-
generator mode
-
go-ahead mode
-
graphics mode
-
graphic mode
-
guidance mode
-
guided-wave mode
-
guided mode
-
half-duplex mode
-
heating mode
-
height-lock mode
-
higher-order mode
-
high-frequency mode
-
high-loss mode
-
high-pass mode
-
high-resolution mode
-
Hmn mode
-
horizontally polarized mode
-
idler mode
-
independent mode
-
index mode
-
injected mode
-
injection-locked mode
-
in-phase modes
-
in-plane mode
-
insert mode
-
integer mode
-
interacting modes
-
interactive mode
-
internally trapped mode
-
interpretive mode
-
interrupt mode
-
inverter mode
-
isolated mode
-
jog mode
-
kernel mode
-
keyboard mode
-
laser mode
-
lasing mode
-
lattice mode
-
launched mode
-
leaking mode
-
leaky mode
-
left-hand polarized mode
-
left polarized mode
-
length extentional mode
-
length flexural mode
-
length modes
-
length-width flexural mode
-
light mode
-
linearly polarized mode
-
load mode
-
local mode
-
locate mode
-
lock mode
-
long coherence length mode
-
long wavelength mode
-
longitudinal mode
-
loopback mode
-
low-frequency mode
-
low-pass mode
-
low-resolution mode
-
lugdown mode
-
macro-by-macro mode
-
magnetron mode
-
main mode
-
malfunction mode
-
manual mode
-
manual skinning mode
-
mapping mode
-
maser mode
-
master mode
-
matched mode
-
measurement mode
-
message mode
-
mirror image mode
-
mixed mode
-
mode of behavior
-
mode of deformation
-
mode of excitation
-
mode of failure
-
mode of functioning
-
mode of propagation
-
mode of test
-
mode of transport
-
mode-locked mode
-
mode-match mode
-
monopulse mode
-
move mode
-
multiple-frame mode
-
multiplexed mode
-
multiplex mode
-
multitask mode
-
native mode
-
natural mode
-
nonaxial mode
-
noncounting mode
-
nondegenerate mode
-
nondegenerative mode
-
nonoscillating mode
-
nonpropagating mode
-
nonradiative mode
-
nonresonant mode
-
nonspiking mode
-
nontransparent mode
-
normal mode
-
odd mode
-
off mode
-
off-axis mode
-
off-design mode
-
off-line mode
-
off-normal mode
-
on-line mode
-
on-link mode
-
opening fracture mode
-
opening mode
-
operating mode
-
optical mode
-
ordinary mode
-
original mode
-
orthogonally polarized modes
-
oscillating mode
-
oscillation mode
-
oscillatory mode
-
out-of-plane mode
-
overtype mode
-
parallel mode
-
parametric mode
-
parasitic mode
-
partially suppressed mode
-
path following mode
-
path modifying mode
-
penetration mode
-
periodic mode
-
perturbed mode
-
photographing mode
-
photon-counting mode
-
pipelined mode
-
plane mode
-
plane polarized mode
-
plasma mode
-
plasma-guide mode
-
playback mode
-
point-to-point path mode
-
polarization mode
-
polarization-bistable mode
-
polarized mode
-
posttrigger mode
-
power-down mode
-
p-polarized mode
-
pretrigger mode
-
principal mode
-
priviledged mode
-
propagating mode
-
propagation mode
-
pulse counting mode
-
pulsed mode
-
pump mode
-
push-pull mode
-
Q-spoiled mode
-
Q-switched mode
-
quadrupole mode
-
quantum noise limited mode
-
radial mode
-
radially polarized mode
-
radiating mode
-
radiation mode
-
rail mode
-
ranging mode
-
ready mode
-
real-time mode
-
receive mode
-
record mode
-
rectifier mode
-
reflected mode
-
reflection mode
-
reflective mode
-
refracted mode
-
refrigeration mode
-
repetitive Q-switched mode
-
request mode
-
resonant mode
-
resonator mode
-
retropropulsion mode
-
return beam mode
-
reverse bias mode
-
reversible recording mode
-
right-hand polarized mode
-
right polarized mode
-
run mode
-
sample-and-hold mode
-
satellite mode
-
saturation mode
-
scanning mode
-
scan mode
-
scope mode
-
screen mode
-
search mode
-
selected mode
-
selector mode
-
self-ammoniation mode
-
self-heating mode
-
self-locked mode
-
self-Q-switched mode
-
self-refresh mode
-
self-reporting mode
-
self-trapping mode
-
serial mode
-
series mode
-
setup mode
-
severe wear mode
-
shear mode of crack initiation
-
shear mode
-
side mode
-
signal mode
-
simplex mode
-
simulation mode
-
single block mode
-
single mode
-
single Q-switched mode
-
single-channel mode
-
single-character mode
-
single-pulse mode
-
single-step mode
-
slave mode
-
slightly coupled modes
-
spatial mode
-
spectral mode
-
spiking mode
-
split-screen mode
-
s-polarized mode
-
spurious mode
-
spurious pulse mode
-
square mode
-
stable mode
-
standby mode
-
standing-wave mode
-
start-stop mode
-
static mode
-
stationary mode
-
steady state mode
-
stiffened mode
-
still-frame mode
-
storage mode
-
store-and-forward mode
-
stretching mode
-
stripped cladding modes
-
strong mode
-
strongly excited mode
-
substrate mode
-
superradiant mode
-
supervisor mode
-
switching mode
-
symmetric modes
-
synchronously pumped mode
-
tape auto mode
-
teaching mode
-
tearing mode
-
thickness-extensional modes
-
time compression mode
-
time mode
-
time-difference mode
-
time-shared mode
-
torsional modes
-
track-and-hold mode
-
tracking mode
-
transcribe mode
-
transfer mode
-
transformed mode
-
transient mode
-
transit mode
-
transit-time mode
-
transmission mode
-
transparent mode
-
transverse mode
-
TRAPATT mode
-
trapped mode
-
trapped plasma avalanche transit time mode
-
traveling-wave mode
-
triggering mode
-
trimming mode
-
truncated mode
-
tuning mode
-
tunneling mode
-
twist mode
-
two-level mode
-
unattended mode
-
uncoupled modes
-
undamped mode
-
unmanned mode
-
unperturbed mode
-
unstable mode
-
unstiffened mode
-
vertically polarized mode
-
vibration mode
-
vibration-free mode
-
virtual mode
-
voting mode
-
waiting mode
-
walk-off mode
-
warped mode
-
wave mode
-
wavefront watched modes
-
waveguide mode
-
wavy slip mode
-
wear mode
-
whispering modes
-
whistler mode
-
width modes
-
write mode
-
zero-order mode -
16 analysis
1) анализ; исследование2) расчёт•- analysis of behavior
- analysis of queues
- analysis of variance
- approximate analysis
- approximation analysis
- aspectological analysis
- automated analysis
- automated data analysis
- automatic document analysis
- best-fit analysis
- bottom-up analysis
- buckling analysis
- check analysis
- citation analysis
- cluster analysis
- comparative economic analysis
- compound flow analysis
- computer simulation analysis
- computer-aided design and analysis
- content analysis
- continuous analysis
- cost-effectiveness analysis
- deformation analysis
- design analysis
- diagnostic analysis
- dimensional analysis
- document analysis and synthesis
- dynamic analysis
- economic analysis
- end-point analysis
- error analysis
- facet analysis
- factory flow analysis
- failure cause analysis
- failure tree analysis
- fault analysis
- FEM analysis
- finite element analysis
- frequency analysis
- frequency domain analysis
- frequency-response analysis
- full grey scale analysis
- functional analysis
- grain size analysis
- grammatical analysis
- graphical analysis
- group analysis
- harmonic analysis
- incident sequence analysis
- information analysis
- integrated analysis
- kinematic analysis
- lexical analysis
- line analysis
- management analysis
- mean-value analysis
- metal surface alloy compositional analysis
- microprobe analysis
- model analysis
- morphological analysis
- multiple regression analysis
- network analysis
- numerical analysis
- on-board analysis
- operation analysis
- performance analysis
- predictive analysis
- production flow analysis
- quantitative analysis
- regression analysis
- reliability analysis
- sampling analysis
- semantic analysis
- semantic-syntactic analysis
- sensitivity analysis
- signature analysis
- simulation analysis
- spectral analysis
- speech analysis
- stability analysis
- statistical analysis
- strain analysis
- strength analysis
- stress analysis
- structural analysis
- structure analysis
- structured analysis
- subject analysis
- subpixel level full grey scale analysis
- syntactic analysis
- system analysis
- time domain analysis
- time-and-frequency analysis
- time-series analysis
- tooth contact analysis
- transient analysis
- trend analysis
- tridimensional analysis
- variation simulation analysis
- vectorial analysis
- vibration analysis
- what if analysis
- X-ray structural analysisEnglish-Russian dictionary of mechanical engineering and automation > analysis
-
17 mode
1) способ; метод; принцип ( работы)3) состояние4) вид, класс5) стат. мода, наиболее вероятное значение•- access mode
- addressable mode of memory operation
- addressing mode
- alternate mode
- anticipation mode
- append mode
- attraction mode
- autodecrement mode
- autoecho mode
- autoincrement mode
- background mode
- back-to-back mode
- basic control mode
- batch mode
- batch-job mode
- biased coincident-current mode of operation
- binary mode
- bistable mode
- bit-image mode
- block mode
- block-multiplex mode
- boxed mode
- broadcast mode
- burst mode
- bypass mode
- byte mode
- byte-interleave mode
- byte-multiplex mode - capitals mode
- card mode
- CAS-before-RAS mode
- character mode
- circle-dot mode
- column binary mode
- command mode
- communication mode
- compatibility mode
- compute mode
- conceal mode
- concurrency mode
- concurrent mode
- connection mode
- connectionless mode
- console mode
- contention mode
- continuous-roll mode
- control mode
- convergent mode
- conversational mode
- cut-sheet mode
- cycle-lock mode
- cycle-steal mode
- dash-dot mode
- data-in mode
- data-pipeline mode
- defocus-focus mode
- destructive mode of operation
- dialog mode
- diffuse mode
- direct location mode
- disconnect mode
- displacement deferred mode
- display mode
- dot-dash mode
- dual-processor mode
- dumb-terminal mode
- edit mode
- exclusive usage mode
- executive guard mode
- extended text mode
- failure mode
- fallback mode
- file access mode
- file mode
- fixed-space character mode
- floating control mode
- fly-by mode
- fly-through mode
- focus-defocus mode
- foreground mode
- forms mode
- free running mode
- freeze mode
- full-screen mode
- go-ahead mode
- graphic mode
- graphics mode
- help mode
- hold mode
- idle mode
- inactivity mode
- increment mode
- initial condition mode
- input mode
- insert mode
- instruction burst mode
- interactive mode
- interactive query mode
- interleaved mode
- interpretive mode
- interrupt mode
- inverse video mode
- keyboard mode
- landscape mode
- learn mode
- left-entry mode
- lettergram mode
- line mode
- literal addressing mode
- load mode
- local mode
- locate mode
- location mode
- lock mode
- long modes
- man-machine mode
- manual mode
- mapping mode
- master mode
- master-slave mode
- memory-address mode
- mode of behavior
- mode of operation
- mode of priority
- monostable mode of operation
- move mode
- multijob mode
- multiplex mode
- multisystem mode
- multitask mode
- native mode
- nibble mode
- noisy mode
- nondestructive reading mode
- nonslotted mode
- nontransparent mode
- no-operation mode
- off mode
- off-line mode
- on-line mode
- on-link mode
- open-loop mode
- operating mode
- operative mode
- opposed mode
- output mode
- overview mode
- page mode
- panel mode
- parallel mode
- parallel-serial mode
- parameter mode
- partitioned mode
- pass-through mode
- pick-function mode
- pipeline mode
- playback mode
- point mode
- point-plotting mode
- portrait mode
- power-saving mode
- preaddressed mode
- preset mode
- privileged mode
- problem mode
- property-sheet mode
- protected mode
- protected usage mode
- pulse mode
- query mode
- question-answer mode
- quick-tear mode
- read-in mode
- read-mostly mode
- ready mode
- real mode
- real-time operation mode
- record mode
- reference-off mode
- register mode
- related modes
- repetitive mode
- replace mode
- reset mode
- revise mode
- right-entry mode
- ripple mode
- rotating fill-display mode
- safe mode
- saturated-off mode
- scan mode
- scanned sensor mode
- scheduled mode
- seek mode
- selector mode
- self-scanning mode
- serial mode
- short offset mode
- short-vector mode
- simplex mode
- single-octet mode
- single-step mode
- slave mode
- sleep mode
- slotted mode
- spontaneous mode
- standby mode
- start-stop mode
- static-column mode
- store-and-forward mode
- stream mode
- streaming mode
- subscription mode
- suspend mode
- system production mode
- system test mode
- test mode
- text mode
- timeout mode
- total-failure mode
- tracking-cross mode
- training mode
- transparent mode
- trapping mode
- typeover mode
- type-through mode
- under the cursor mode
- united modes
- unoperable mode
- usage mode
- user-operating mode
- vector mode
- vector-continue mode
- verification mode
- virtual mode
- waiting mode
- wake-up modeEnglish-Russian dictionary of computer science and programming > mode
-
18 характеристики надёжности
Большой англо-русский и русско-английский словарь > характеристики надёжности
-
19 theory
1) теория•-
Abbe's theory
-
Abbe theory
-
absolute reaction rate theory
-
acid-basic catalysis theory
-
adhesive theory of friction
-
affinity theory
-
age theory
-
Airy-Stokes theory
-
approximation theory
-
Arrhenius theory
-
association theory
-
automata theory
-
automatic control theory
-
behavior theory of canals
-
boundary-layer interaction theory
-
boundary-layer theory
-
Bronsted theory
-
bunching theory
-
catastrophe theory
-
chemical graph theory
-
chemical kinetics theory
-
circuit theory
-
coding theory
-
combinatorial theory
-
communications theory
-
communication theory
-
constant angle theory of arch dam design
-
contact clastohydrodynamic theory
-
control theory
-
control-system theory
-
coordination theory
-
Coulomb's wedge theory
-
cylinder theory of arch dam design
-
delamination theory of wear
-
diffraction theory
-
diffusion theory
-
dispersion theory
-
dissociation theory
-
donor-acceptor interaction theory
-
double shear theory
-
drag theory
-
effective arch theory
-
elastic theory
-
elastic wave theory
-
elasticity theory
-
electromagnetic field theory
-
electromagnetic theory
-
energetical wear theory
-
erosion theory
-
estimation theory
-
evaporation theory
-
fatigue theory of wear
-
fatigue theory
-
field theory
-
filter theory
-
flash temperature theory
-
Flory theory
-
free space theory
-
free volume theory
-
free-electron theory of metals
-
fuzzy-set theory
-
game theory
-
general theory
-
generalized electric machine theory
-
graph theory
-
gravitational theory
-
gravitation theory
-
group theory
-
handling theory
-
hydroxo-complex theory
-
imperfection theory
-
information theory
-
ionic theory
-
kinetic theory of gases
-
kinetic theory of liquids
-
local theory
-
logic theory
-
long-range stress theory
-
magnetic field theory
-
magnetotelluric theory
-
mapping theory
-
mathematical economic theory
-
maximum shear theory
-
maximum strain energy theory
-
Maxwell's electromagnetic theory
-
mechanical interlocking friction theory
-
membrane theory
-
mixing length theory
-
model theory
-
molecular attraction friction theory
-
molecular theory
-
molecular-kinetic theory
-
molecular-mechanical theory of friction
-
mosaic-block theory
-
multienergy-group diffusion theory
-
multigroup theory
-
multiple catalysis theory
-
multiple seismometer theory
-
network flow theory
-
network theory
-
nuclear drop theory
-
nuclear theory
-
number theory
-
nutrient theory
-
one-speed diffusion theory
-
oxidational theory of wear
-
oxide-film barrier theory
-
oxyacid theory
-
oxygen attack theory
-
peracid theory of gum formation
-
perturbation theory
-
plastic collapse theory
-
plastic theory
-
plasticity theory
-
plate theory
-
potential field theory
-
potential theory
-
prediction theory
-
probability theory
-
quantum field theory
-
quantum theory of light
-
queueing theory
-
queuing theory
-
radiometry theory
-
Rankine's theory
-
ray-path theory
-
ray theory
-
reflection theory
-
refraction theory
-
regime theory of rivers
-
renewal theory
-
scaled-particle theory
-
seismic theory
-
set theory
-
solid-state theory
-
solvation theory
-
stability theory
-
statistical-decision theory
-
steady-state creep theory
-
superlattice theory
-
system theory
-
theory of algorithms
-
theory of chances
-
theory of elasticity
-
theory of errors
-
theory of failure
-
theory of functions
-
theory of lateral earth pressure
-
theory of limits
-
theory of magnetism
-
theory of oscillations
-
theory of plasticity
-
theory of reliability
-
theory of scheduling
-
theory of screws
-
theory of similarity
-
theory of specific heats
-
theory of stream lines
-
theory of strength
-
theory of testing
-
theory of thermoelastic instability of contact
-
theory of vibrations
-
thermodiffusion theory
-
thermofluctuational strength theory
-
tidal-wave theory
-
tractive-force theory
-
transition state theory
-
transport theory
-
unified electrical machine theory
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utility theory
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valence bond theory
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valency theory
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variable-radius theory
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wave theory of light
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welding-shearing friction theory
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zone theory of solids -
20 system
1) система
2) комплекс
3) совокупность
4) множество
5) область
6) схемный
7) устройство
8) системный
– adaptive system
– addressing system
– airdrop system
– antenna system
– arithmetic system
– blok system
– bus system
– c.m. system
– center-of-mass system
– classification system
– commutation system
– controlled system
– cooling system
– crossbar system
– cryoelectronic system
– deferlant system
– deflection system
– dial system
– distributed system
– double-current system
– doudecimal system
– draft system
– drainage system
– earth system
– ecological system
– encoder system
– energy system
– error-controlled system
– evaporator system
– exhaust system
– file system
– finder system
– floating-carrier system
– floating-point system
– focusing system
– fuel system
– gas-cleaning system
– gas-pressurized system
– ground system
– guidance system
– history of a system
– hot-water system
– hydraulic system
– identifiable system
– inertial system
– inteblock system
– Korsch system
– laboratory system
– Lesniewski system
– life-support system
– lightguiding system
– linear system
– monitoring system
– multimicroprocessor system
– multiple-data-set system
– non-autonomous system
– nondirector system
– number system
– parallel-feed system
– piece-rate system
– planetary system
– pneumatic system
– propulsion system
– prototype system
– public-address system
– quadrophonic system
– queuing system
– response of system
– right-handed system
– robot system
– safety-trip system
– sampled-data system
– scanning system
– sewage system
– shift system
– spraying system
– sprinkling system
– staff system
– stand-by system
– start-stop system
– start-up system
– storage system
– system behavior
– system check
– system debugging
– system design
– system failure
– system of equations
– system of imprimitivity
– system of wheels
– system reliability
– system topology
– tally system
– telephone system
– television system
– ten-step system
– timing system
– transmission system
– triangulation system
– triclinic system
– twelve-channel system
– two-particle system
– unattended system
– unstable system
– ventilation system
– video system
– warning system
– water-sludge system
– wellpoint system
aircraft electrical system — <aeron.> сеть бортовая электрическая
ample linear system — <math.> система линейная обильная
approach and docking system — <cosm.> система сближения и стыковки
automated/automatic landing system — <aeron.> система захода на посадку автоматизированная
automatic block system — < railways> автоблокировка
automatic deicing system — <aeron.> автомат противообледенительной системы
bang-bang control system — <comput.> система управления релейная
carrier frequency system — система передачи с частотным разделением каналов
Cartesian coordinate system — прямоугольная система координат
closed-circuit television system — <commun.> система телевидения невещательная
cycle matching system — <aeron.> навигация воздушная импульсная, система навигационная импульсная
differential selsyn system — дифсельсин, сельсин дифференциальный
digital counting system — <comput.> система отслеживающая цифровая
digital transmission system — <commun.> система передачи цифровая
disk operating system — <comput.> система операционная дисковая
dispatch telephone system — диспетчерская телефонная система
fiber-optics communication system — <commun.> система связи волоконно-оптическая
hereditarily generating system — наследственная система образующих
hexadecimal number system — шестнадцатиричная система счисления
information retrieval system — <comput.> система информационно-поисковая
integrated switching system — интегральная коммутационная система
itnegrated manufacturing system — комплексная автоматическая линия
jet engine starter system — <engin.> турбостартер
meteor-burst communication system — <commun.> система связи метеорная
microprocessor control system — микропроцессорная система управления
modular pneumatic-device system — система унифицированная агрегатная
modular programming system — <comput.> система модульного программирования
multipoint distribution system — многоадресная система распределения ТВ-программ
packet transmission system — система передачи с коммутацией пакетов сообщений
Pitot static system — <engin.> система ПВД
pulsed navigation system — <aeron.> навигация воздушная импульсная, система навигационная импульсная
quantum-mechanical readout system — <tech.> система считывающая квантовая
quasi-electronic switching system — квазиэлектронная система коммутации
reactor control system — <engin.> система управления и защиты
reactor protection system — <phys.> защита аварийная
receiver-amplifier crioelectric system — приемно-усилительная криоэлектронная система
remote-cylinder hydraulic system — раздельно—агрегатная гидросистема
resultant of system of forces — равнодействующая системы сил
satellite navigation system — <naut.> система навигационная космическая, система навигационная спутниковая
State System of Instruments — <engin.> система приборов Государственная
supervisory control system — <comput.> автодиспетчер
system of residual classes — <math.> система остаточных классов
telegraph block system — < railways> движение поездов по телеграфному соглашению
time interval system — < railways> разграничение поездов временем
time-division multiplex system — система передачи с временным разделением
unified radiotelemetry system — унифицированный радиотелеметрический комплекс
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