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1 field call
Большой англо-русский и русско-английский словарь > field call
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2 field call
Англо-русский словарь нефтегазовой промышленности > field call
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3 field call
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4 field call
заявка (на ремонт) в процессе эксплуатацииThe English-Russian dictionary on reliability and quality control > field call
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5 call
1. сигнал; вызов2. заявка; требование
* * *
вызов ( подпрограммы), обращение ( к подпрограмме)
* * *
1) сигнал; вызов2) заявка; требование•- emergency call
- field call
- service call
- trouble call -
6 call
1. n1) призыв2) созыв (совещания, конференции и т.п.)3) амер. решение национального комитета партии о созыве съезда для выдвижения кандидатур4) официальное приглашение, вызов5) визит, посещение- return smb. a call6) телефонный вызов, звонок•2. v1) созывать2) посещать, приходить с визитом3) объявлять, оглашать•- call off- call on -
7 field a call
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8 call by number
1. вызов по номеру; вызов по коду; кодовый вызов2. вызов по номеру; кодовый вызов -
9 call instruction
1. команда вызоыв; команда обращения2. команда вызова; команда обращенияinstruction set — система команд; набор команд
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10 call-circuit operation
operation field — поле кода операции; разряды кода операции
red-tape operation — служебная операция; управляющая операция; вспомогательная операция
overhead operation — служебная операция; организующая операция; вспомогательная операция
English-Russian dictionary of Information technology > call-circuit operation
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11 field maintenance
English-Russian dictionary of Information technology > field maintenance
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12 on-call mission
1. n ав. вылет по боевой тревоге2. n ав. вылет по вызову -
13 force(s)
сила; группа; группировка; формирования; части и соединения [подразделения]; мор. отряд; соединение; pl. войска, силы; вооруженные силы, ВС; форсироватьACE mobile force(s), Air — мобильные ВВС ОВС НАТО в Европе
ACE mobile force(s), Land — мобильные СВ ОВС НАТО в Европе
Air forces, Gulf — Бр. ВВС в районе Персидского залива
Air forces, Northern Army Group BBC — Северной группы армий (ОВС НАТО в Европе)
Allied forces, Central [Northern, Southern] Europe — ОВС НАТО на Центрально-Европейском [Северо-Европейском, Южно-Европейском] ТВД
Allied forces, Europe OBC — НАТО в Европе
Allied Land forces, Northern [Southern] Europe — ОСВ НАТО на Северо-Европейском [Южно-Европейском] ТВД
Allied Naval forces, Northern [Southern] Europe — ОВМС НАТО на Северо-Европейском [Южно-Европейском] ТВД
carrier submarine detection [search] and striking force — ПЛ авианосная поисково-ударная группа
earmarked (for assignment) forces — войска [силы], выделенные [предназначенные] для передачи в оперативное подчинение (командования НАТО)
insert a force (into the area) — высаживать десант; десантировать (часть, подразделение)
mobile logistical (support) force — соединение сил [судов] подвижного тылового обеспечения (ВМС)
mobile logistics (support) force — соединение сил [судов] подвижного тылового обеспечения (ВМС)
NATO-earmarked (for assignment) forces — войска, выделенные [предназначенные] для передачи в оперативное подчинение командования НАТО
On-Call Naval force, Mediterranean — оперативное соединение ОВМС НАТО на Средиземном море для действий по вызову
rapid deployment force, Air — авиационный компонент СВР
rapid deployment force, Army — сухопутный компонент СВР
rapid deployment force, Navy — военноморской компонент СВР
special service force (mobile command) — Кан. группа войск специального назначения (мобильного командования)
Standing Naval force, Atlantic — постоянное оперативное соединение ОВМС НАТО на Атлантике
UN Peace Keeping forces, Cyprus — ВС ООН по поддержанию мира на Кипре
US forces, Europe — ВС США в Европейской зоне
— ACE mobile forces— amphibious assault force— BM force— conventional armed forces— counterforce-capable forces— divert forces from— experimental naval forces— fleet-based air force— frontier-guarding force— garrison forces— in force— international forces— link-up force— main battle forces— nuclear forces— special action forces— tactical nuclear-capable forces— unconventional warfare forces— visiting armed force -
14 force(s)
сила; группа; группировка; формирования; части и соединения [подразделения]; мор. отряд; соединение; pl. войска, силы; вооруженные силы, ВС; форсироватьACE mobile force(s), Air — мобильные ВВС ОВС НАТО в Европе
ACE mobile force(s), Land — мобильные СВ ОВС НАТО в Европе
Air forces, Gulf — Бр. ВВС в районе Персидского залива
Air forces, Northern Army Group BBC — Северной группы армий (ОВС НАТО в Европе)
Allied forces, Central [Northern, Southern] Europe — ОВС НАТО на Центрально-Европейском [Северо-Европейском, Южно-Европейском] ТВД
Allied forces, Europe OBC — НАТО в Европе
Allied Land forces, Northern [Southern] Europe — ОСВ НАТО на Северо-Европейском [Южно-Европейском] ТВД
Allied Naval forces, Northern [Southern] Europe — ОВМС НАТО на Северо-Европейском [Южно-Европейском] ТВД
carrier submarine detection [search] and striking force — ПЛ авианосная поисково-ударная группа
earmarked (for assignment) forces — войска [силы], выделенные [предназначенные] для передачи в оперативное подчинение (командования НАТО)
insert a force (into the area) — высаживать десант; десантировать (часть, подразделение)
mobile logistical (support) force — соединение сил [судов] подвижного тылового обеспечения (ВМС)
mobile logistics (support) force — соединение сил [судов] подвижного тылового обеспечения (ВМС)
NATO-earmarked (for assignment) forces — войска, выделенные [предназначенные] для передачи в оперативное подчинение командования НАТО
On-Call Naval force, Mediterranean — оперативное соединение ОВМС НАТО на Средиземном море для действий по вызову
rapid deployment force, Air — авиационный компонент СВР
rapid deployment force, Army — сухопутный компонент СВР
rapid deployment force, Navy — военноморской компонент СВР
special service force (mobile command) — Кан. группа войск специального назначения (мобильного командования)
Standing Naval force, Atlantic — постоянное оперативное соединение ОВМС НАТО на Атлантике
UN Peace Keeping forces, Cyprus — ВС ООН по поддержанию мира на Кипре
US forces, Europe — ВС США в Европейской зоне
— ACE mobile forces— amphibious assault force— BM force— conventional armed forces— counterforce-capable forces— divert forces from— experimental naval forces— fleet-based air force— frontier-guarding force— garrison forces— in force— international forces— link-up force— main battle forces— nuclear forces— special action forces— tactical nuclear-capable forces— unconventional warfare forces— visiting armed force -
15 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 -
16 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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17 signal
1) сигнал; сигнализировать, подавать сигнал2) импульс•- access-barred signal
- accompanying-sound signal
- acoustic signal
- active line duration signal
- actuating signal
- address-complete signal
- address-incomplete signal
- alarm indication signal
- alarm signal
- alternating mark-inversion signal
- amplitude-modulated signal
- analog electric signal
- analog signal
- ancillary signal
- anisochronous signals
- answer signal
- aperiodic signal
- arrival signal
- audible signal
- authentication signal
- B signal
- background signal
- backward signal
- band-limited signal
- bell signal
- bidirectional signal
- binary signal
- bipolar signal
- black signal
- black-burst signal
- blanketing signal
- blocking acknowledgement signal
- blocking signal
- blue signal
- broadband coding signal
- busy signal
- buzzer signal
- B-Y signal
- call signal
- call-accepted signal
- call-acknowledgement signal
- callback ring signal
- call-confirmation signal
- call-control signal
- called number signals
- called-terminal answered signal
- called-terminal engaged signal
- call-failure signal
- calling indicator signal
- calling signal
- call-not-accepted signal
- call-progress signal
- call-request signal
- call-sending check signal
- camera signal
- carrier chrominance signal
- carrier color signal
- carrier sense signal
- carrier signal
- case-shift signal
- caution signal
- cellular signal
- channel-identification signal
- chirp signal
- chroma signal
- chrominance signal
- chrominance video signal
- circuit group congestion signal
- clear-back signal
- clear-confirmation signal
- clear-forward signal
- clearing signal
- clock signal
- code signal
- color bar signal
- color identification signals
- color signal
- color-difference signal
- color-picture signal
- color-separated signal
- color-sync signal
- common emergency signal
- common-mode signal
- compelled signal
- complete-address signal
- complex TV-signal
- component-coded digital video signal
- composite color sync signal
- composite video signal signal
- compressed-video signal
- conference communication signal
- confirmation-to-receive signal
- confusion signal
- connection-in-progress signal
- continuous time signal
- control track signal
- convergence signal
- cosine signal
- counterphase signal
- crosstalk signal
- cue signal
- danger signal
- data signal
- data-transfer request signal
- dc signal
- DCE clear signal
- DCE waiting signal
- desk-spot signal
- detected signal
- detection signal
- differential signal
- digital component video signal
- digital signal
- directivity signal
- disable signal
- discernible signal
- disconnect signal
- discrete-time signal
- dither signal
- doubleside signal
- driving signal
- DTE-clear signal
- duress signal
- electric signal
- electrooptic signal
- emergency signal
- enable signal
- enciphered signal
- encoded signal
- end-of-copy signal
- end-of-impulsing signal
- end-of-pulsing signal
- end-of-selection signal
- engaged signal
- error signal
- excitation signal
- exponential signal
- facsimile signal
- false signal
- fate signal
- fault signal
- feedback signal
- field sawtooth signal
- field synchronization signal
- figures-shift signal
- finite signal
- first-buzzer signal
- floating signal
- foreground signal
- forward recall signal
- four-aspect signal
- frame sync signal
- frame-alignment signal
- framing signal
- free-line signal
- full-frame test signal
- functional signal
- gate signal
- Gaussian signal
- green signal
- group signal
- G-Y signal
- hang-up signal
- HF signal
- homochronous signal
- horizontal sync signal
- hydroacoustic signals
- idle indication signal
- in-band signal
- information signal
- inhibiting signal
- injection signal
- in-phase signal
- input signal
- interfering signal
- intermediate-frequency signal
- international-code signal
- interoffice signals
- interrupt signal
- inversion signal
- isochronous signals
- jam signal
- left signal
- left-backward signal
- left-forward signal
- line sawtooth signal
- line synchronization signal
- linear signal
- line-drop signal
- line-out-of-service signal
- load-off signal
- local signal
- locking signal
- loop-down signal
- loop-error signal
- loop-up signal
- low-frequency signal
- luminance staircase signal
- M signal
- marking signal
- MAYDAY signal
- mesochronous signal
- microwave signal
- minimum descernible signal
- minimum detectable signal
- modulated signal
- modulating signal
- monitor signal
- monitoring signal
- monochromatic signal
- monophonic signal
- multichannel telephony signal
- multipage signal
- multiplexed signal
- multitone test signal
- music melody signal
- narrowband return signal
- n-level output signal
- noise-free signal
- noise-shaped signal
- noncompelled signal
- noncomposite color picture signal
- note-off signal
- note-on signal
- n-position signal
- number received signal
- offering signal
- off-hook signal
- on-hook signal
- optical signal
- optimal amplitude signal
- orthogonal signal
- out-of-band signal
- output signal
- PAN-signal
- periodic signal
- permanent signal
- phantom signal
- phasing signal
- pickup signal
- picture signal
- picture-phone signal
- picture-shading signal
- pilot signal
- playback signal
- plesiochronous signal
- polar signal
- polling signal
- power signal
- pre-video signal
- primary signal
- probing signal
- proceed-to-select signal
- proceed-to-transmit signal
- program signal
- protection signal
- pseudonoise signal
- pulse control signal
- pulse signal
- pulsed signal
- Q-signal
- quadrature-phase subcarrier signal
- quantized signal
- quasi-harmonic signal
- radio-frequency signal
- radioimpulse signal
- radio-time signals
- reading signal
- ready-for-data signal
- ready-to-receive signal
- recall signal
- receiving acknowledgement signal
- rectangular signal
- RED signal
- red signal
- RED/BLACK signal
- redundant signal
- reference signal
- regenerated signal
- regular signal
- reorder signal
- request signal
- request-for-repetition signal
- re-reflected signal
- rering signal
- reset signal
- residual signal
- retransmitted signal
- return signal
- returned signal
- rewrite signal
- rewriting signal
- right signal
- right-backward signal
- right-forward signal
- ringing signal
- ring-off signal
- round-the-world signal
- runout signal
- safety signal
- sampled signal
- saturation signal
- saw-toothed signal
- second buzzer signal
- secondary signal
- security signal
- seizing signal
- sending acknowledgement signal
- sensed signal
- service signal
- shading compensation signal
- shading signal
- silhouette signal
- simplest sync signal
- sin signal
- single-ended signal
- single-sideband signal
- smear signal
- SOS-signal
- sound signal
- space signal
- speech signal
- spurious signal
- start dialing signal
- start signal
- start-record signal
- start-stop signal
- station answer signal
- stereophonic signal
- stop signal
- stop-record signal
- stuffed signal
- supersync signal
- supervisory signal
- suppressed sideband signal
- switch signal
- switchover signal
- synchronous signal
- synphase signal
- system busy signal
- teledata signal
- telegraph-control signal
- telephone-control signal
- ternary signal
- testing signal
- test-line signal
- test-pattern signal
- threshold signal
- ticker signal
- time signals
- timing reference signal
- total television signal
- transmission confirming signal
- triangular signal
- triggering signal
- tristimulus signal
- TV-control signal
- TV-transmission signal
- undesired signal
- unstuffed signal
- unvoiced signal
- urgent signal
- vertical synchronization signal
- vestigial sideband signal
- videoimpulse signal
- visual message signal
- voice analog signal
- voice answer signal
- wanted signal
- warning signal
- weighted signal
- white signal
- write signal
- writing signal
- Y-signalEnglish-Russian dictionary of telecommunications and their abbreviations > signal
-
18 meter
1) измерительный прибор; средство измерения || измерять2) метр•- admittance meter
- azimuth-indicating meter
- backscatter density meter
- B-H meter
- bias meter
- call meter
- capacitance meter
- cavity-resonator frequency meter
- cavity-tuned absorption-type frequency meter
- cavity-tuned heterodyne-type frequency meter
- cavity-tuned transmission-type frequency-meter
- circuit-noise meter
- coaxial-line frequency meter
- correlation meter
- counting-rate meter
- counting-type frequency meter
- customer's private meter
- dB meter
- decibel meter
- demand meter
- digital panel meter
- dip meter
- distortion meter
- dual meter
- effective-call meter
- elapsed-time meter
- electric power meter
- electrodynamic meter
- electromechanical frequency meter
- expanded-scale meter
- exposure meter
- feed-through power meter
- field-intensity meter
- field-strength meter
- flutter meter
- footcandle meter
- Frahm frequency meter
- frequency meter
- frequency departure meter
- frequency deviation meter
- frequency difference meter
- gamma backscatter thickness meter
- generating electric-field meter
- gradient meter
- grid-dip meter
- Hall-effect power meter
- heterodyne frequency meter
- heterodyne-type frequency meter
- hot-wire meter
- illumination meter
- impedance meter
- induction meter
- induction-type meter
- ineffective-call meter
- integrating meter
- light meter
- luminance meter
- magnet meter
- magnetic-vane meter
- meantime-to-failure meter
- modulation meter
- motor meter
- moving-coil meter
- moving-vane meter
- mutual-conductance meter
- noise meter
- output meter
- peak program meter
- pen meter
- people meter
- percent-modulation meter
- phase meter
- phase-angle meter
- photographic exposure meter
- pocket meter
- portable meter
- power meter
- power-factor meter
- pulse-recurrence frequency meter
- Q-meter
- quality-factor meter
- quotient meter
- radiation survey meter
- radio-altitude meter
- radio-noise meter
- rate meter
- ratio meter
- reactive volt-ampere meter
- recording meter
- recording level meter
- rectifier meter
- reed frequency meter
- reflection-coefficient meter
- resonance frequency meter
- reverberation-time meter
- signal-strength meter
- sound-level meter
- standard meter
- standing-wave meter
- subscriber's private meter
- susceptibility meter
- terminating power meter
- thermal electric meter
- time-interval meter
- transconductance meter
- transmission-type frequency meter
- tuning meter
- universal test meter
- vibrating-reed frequency meter
- vibration meter
- visual-display plate level meter
- voltage standing-wave-ratio meter
- volume unit meter
- VSWR meter
- VU meter
- watt-hour meter
- wow meter -
19 meter
1) измерительный прибор; средство измерения || измерять2) метр•- admittance meter
- azimuth-indicating meter
- backscatter density meter
- B-H meter
- bias meter
- call meter
- capacitance meter
- cavity-resonator frequency meter
- cavity-tuned absorption-type frequency meter
- cavity-tuned heterodyne-type frequency meter
- cavity-tuned transmission-type frequency meter
- circuit-noise meter
- coaxial-line frequency meter
- correlation meter
- counting-rate meter
- counting-type frequency meter
- customer's private meter
- dB meter
- decibel meter
- demand meter
- digital panel meter
- dip meter
- distortion meter
- dual meter
- effective-call meter
- elapsed-time meter
- electric power meter
- electrodynamic meter
- electromechanical frequency meter
- expanded-scale meter
- exposure meter
- feed-through power meter
- field-intensity meter
- field-strength meter
- flutter meter
- footcandle meter
- Frahm frequency meter
- frequency departure meter
- frequency deviation meter
- frequency difference meter
- frequency meter
- gamma backscatter thickness meter
- generating electric-field meter
- gradient meter
- grid-dip meter
- Hall-effect power meter
- heterodyne frequency meter
- heterodyne-type frequency meter
- hot-wire meter
- illumination meter
- impedance meter
- induction meter
- induction-type meter
- ineffective-call meter
- integrating meter
- light meter
- luminance meter
- magnet meter
- magnetic-vane meter
- meantime-to-failure meter
- modulation meter
- motor meter
- moving-coil meter
- moving-vane meter
- mutual-conductance meter
- noise meter
- output meter
- peak program meter
- pen meter
- people meter
- percent-modulation meter
- phase meter
- phase-angle meter
- photographic exposure meter
- pocket meter
- portable meter
- power meter
- power-factor meter
- pulse-recurrence frequency meter
- Q meter
- quality-factor meter
- quotient meter
- radiation survey meter
- radio-altitude meter
- radio-noise meter
- rate meter
- ratio meter
- reactive volt-ampere meter
- recording level meter
- recording meter
- rectifier meter
- reed frequency meter
- reflection-coefficient meter
- resonance frequency meter
- reverberation-time meter
- signal-strength meter
- sound-level meter
- standard meter
- standing-wave meter
- subscriber's private meter
- susceptibility meter
- terminating power meter
- thermal electric meter
- time-interval meter
- transconductance meter
- transmission-type frequency meter
- tuning meter
- universal test meter
- vibrating-reed frequency meter
- vibration meter
- visual-display plate level meter
- voltage standing-wave-ratio meter
- volume unit meter
- VSWR meter
- VU meter
- watt-hour meter
- wow meterThe New English-Russian Dictionary of Radio-electronics > meter
-
20 relay
1) реле || ставить реле2) снабжать релейной защитой; ставить релейную защиту4) трансляция; передача ( сигнала) || транслировать; передавать ( сигнал)5) ретрансляция; переприём || ретранслировать•-
ac relay
-
ac system relays
-
accelerating relay
-
acoustic relay
-
actuating relay
-
alarm relay
-
allotter relay
-
all-to-all relay
-
amplitude comparison relay
-
angle armature relay
-
annunciation relay
-
antifailure automatics relay
-
armature relay
-
automatic reclosing relay
-
back-current relay
-
backup relay
-
balance beam relay
-
balanced relay
-
banked relay
-
biased relay
-
bimetallic-strip relay
-
bistable relay
-
blocking relay
-
block relay
-
brake application relay
-
brake release relay
-
braking relay
-
Buchholz relay
-
calling relay
-
call relay
-
capacitance relay
-
carrier-actuated relay
-
center-stable polarized relay
-
center-stable polar relay
-
central disconnection relay
-
change-of-current relay
-
charging rate relay
-
circuit-control relay
-
clappers-type relay
-
clappers relay
-
clearing relay
-
clock relay
-
closing relay
-
code relay
-
compelling relay
-
conductance relay
-
contact relay
-
contactless relay
-
continuous-duty relay
-
control relay
-
crossing relay
-
current relay
-
current-balance relay
-
current-overload relay
-
cut-in relay
-
cut-off relay
-
dc relay
-
definite minimum time-limit relay
-
definite-time-lag relay
-
delay relay
-
dependent-time measuring relay
-
dependent-time-lag relay
-
differential relay
-
digital radio relay
-
digital relay
-
direct-action relay
-
directional impedance relay
-
directional power relay
-
directional relay
-
directional-overcurrent relay
-
discriminating relay
-
distance relay
-
double-acting relay
-
draw-out relay
-
dry-feed relay
-
earth-fault relay
-
earthing relay
-
electrical relay
-
electrodynamic relay
-
electromagnetic relay
-
electromechanical relay
-
electronic relay
-
electron relay
-
electrostatic relay
-
element relay
-
enclosed relay
-
entrance relay
-
erase relay
-
excitation-loss relay
-
fast-operating relay
-
fast-release relay
-
ferrodynamic relay
-
ferromagnetic relay
-
field relay
-
field-application relay
-
field-failure relay
-
field-removal relay
-
frequency relay
-
frequency-selective relay
-
gas-actuated relay
-
gas relay
-
gas-filled relay
-
graded time-lag relay
-
grounding relay
-
ground relay
-
guard relay
-
hermetically sealed relay
-
high-speed relay
-
hinged-armature relay
-
holding relay
-
horn relay
-
hot-wire relay
-
impedance relay
-
independent time-lag relay
-
indicating relay
-
indirect-action relay
-
individual point relay
-
induction relay
-
inertia relay
-
initiating relay
-
instantaneous overcurrent relay
-
instantaneous relay
-
interlock relay
-
intermediate switching-off relay
-
interposing relay
-
inverse-time relay
-
keying relay
-
key relay
-
lagged relay
-
lag relay
-
latched relay
-
latch-in relay
-
latching relay
-
leakage relay
-
leak relay
-
LED-coupled solid-state relay
-
light relay
-
light-out relay
-
line relay
-
line-break relay
-
load relay
-
local-remote relay
-
locking relay
-
lock-up relay
-
low-voltage relay
-
low-voltage release relay
-
magnetic relay
-
magnetoelectric relay
-
main locomotive relay
-
main starting relay
-
maximum power relay
-
maximum-voltage relay
-
measuring relay
-
memory relay
-
mercury relay
-
mercury-contact relay
-
mercury-wetted-contact relay
-
metering relay
-
mho relay
-
microprocessor controlled relay for overcurrent protection
-
microwave radio relay
-
microwave relay
-
monostable relay
-
moving-iron relay
-
multiposition relay
-
negative phase-sequence relay
-
net-to-net relay
-
network master relay
-
network-phasing relay
-
neutral relay
-
no-load relay
-
nondirectional relay
-
nonpolarized relay
-
nonspecified-time relay
-
normally closed relay
-
normally open relay
-
notching relay
-
no-voltage relay
-
ohm relay
-
open-frame relay
-
open relay
-
open-phase relay
-
open-track-circuit relay
-
out-of-step relay
-
overcurrent relay
-
overload relay
-
overpower relay
-
overtemperature relay
-
overvoltage relay
-
percentage-differential relay
-
phase relay
-
phase-balance relay
-
phase-comparison relay
-
phase-failure relay
-
phase-reversal relay
-
phase-rotation relay
-
photocell relay
-
photoemissive relay
-
phototube relay
-
plunger relay
-
pneumatic amplifier relay
-
pneumatic relay
-
pneumatic time-delay relay
-
point detection relay
-
point operating relay
-
polarity-directional relay
-
polarized relay
-
positive phase-sequence relay
-
potential relay
-
power direction relay
-
power relay
-
power-transfer relay
-
pressure relay
-
primary relay
-
product relay
-
protection relay
-
pulse relay
-
pulse track relay
-
quick-operating relay
-
quotient relay
-
radio relay
-
rate-of-change relay
-
ratio-balance relay
-
reactance relay
-
reactive power relay
-
reclosing relay
-
reed relay
-
register relay
-
regulating relay
-
reply and call relay
-
reset relay
-
residual relay
-
resistance relay
-
reverse-current relay
-
reverse-phase relay
-
rinding relay
-
route relay
-
route-release relay
-
satellite relay
-
secondary relay
-
sector-type relay
-
selector relay
-
self-resetting relay
-
semiconductor relay
-
service restoring relay
-
shaded-pole relay
-
short-circuit relay
-
shunt relay
-
side-stable relay
-
signal selector relay
-
signaling relay
-
slave relay
-
slew relay
-
slow-acting relay
-
slow-release relay
-
solenoid relay
-
solid-state relay
-
speed relay
-
starting relay
-
static relay with output contact
-
static relay without output contact
-
static relay
-
step-back relay
-
stepping-type relay
-
stepping relay
-
storage relay
-
supervisory relay
-
switch control relay
-
switch indication relay
-
switch lock relay
-
switch position relay
-
switching relay
-
synchronizing relay
-
temperature relay
-
three-position relay
-
time relay
-
time-delay relay
-
timing relay
-
track indicating relay
-
track relay
-
trailing relay
-
train control relay
-
train-stop relay
-
transfer relay
-
transistor relay
-
trip-free relay
-
tuned relay
-
two-element selector relay
-
two-position relay
-
undercurrent relay
-
undervoltage relay
-
unenclosed relay
-
voltage-response relay
-
warning signal relay
-
wet-reed relay
-
wire-break relay
-
zero phase-sequence relay
См. также в других словарях:
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