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1 automatic background control
Abbreviation: ABC (автоматическая регулировка яркости (фона))Универсальный русско-английский словарь > automatic background control
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2 automatska kontrola brujanja
• automatic background control -
3 automatyczna regulacja tła
• automatic background controlSłownik polsko-angielski dla inżynierów > automatyczna regulacja tła
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4 автоматическое подавление фона
Русско-английский научно-технический словарь Масловского > автоматическое подавление фона
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5 автоматическая регулировка яркости
автоматическая регулировка яркости
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[ http://www.morepc.ru/dict/term13038.php]Тематики
- электронная техника, основные понятия
EN
Русско-английский словарь нормативно-технической терминологии > автоматическая регулировка яркости
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6 автоматическое подавление фона
автоматическое подавление фона
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[Л.Г.Суменко. Англо-русский словарь по информационным технологиям. М.: ГП ЦНИИС, 2003.]Тематики
EN
Русско-английский словарь нормативно-технической терминологии > автоматическое подавление фона
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7 ABC
ABC automatic background control; automatic bass compensation; automatic brightness controlDeutsch-Englisch Wörterbuch der Elektrotechnik und Elektronik > ABC
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8 автоматическое регулирование яркости
1) Engineering: automatic background control, automatic brightness control2) Oil: controlУниверсальный русско-английский словарь > автоматическое регулирование яркости
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9 автоматическая регулировка яркости
Electronics: automatic background control, automatic brightness controlУниверсальный русско-английский словарь > автоматическая регулировка яркости
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10 automatisk lysstyrkekontroll
subst. (teleteknikk) automatic brightness control, automatic background control -
11 автоматическая регулировка яркости
Russian-English dictionary of telecommunications > автоматическая регулировка яркости
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12 АРЯ
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13 автоматическая установочная регулировка яркости
Универсальный русско-английский словарь > автоматическая установочная регулировка яркости
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14 автоматическое подавление фона
Telecommunications: automatic background controlУниверсальный русско-английский словарь > автоматическое подавление фона
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15 уровень
автоматическое управление уровнемautomatic level controlбезопасный уровеньsafe levelбоковой фактический уровень шумаactual sideline noise levelвеличина уровня шумаnoise level valueвысота над уровнем моряaltitude above sea levelвыходной уровеньoutput levelгодность по уровню шумаnoiseworthinessдавление над уровнем моряmean sea level pressureдоводить до уровня годности к полетамrender airworthyдопустимый уровень безопасностиmargin of safetyдопустимый уровень шумаpermissible noise levelзаданный уровень безопасности полетовtarget level of safetyзамер уровня бокового шумаsideline measurementзапрет полетов из-за превышения допустимого уровня шумаnoise curfewизлучение шума определенного уровняnoise level radiationизмерение фактического уровня шумаactual noise level measurementисходный акустический уровеньacoustic reference levelисходный уровень тарифаreference fare levelкарта замера уровня звукаsound level historyкомплексный показатель уровня шумаcomposite noise ratingконтрольное окно уровня маслаoil level holeконтроль уровня шумаnoise controlконтур равного уровня шумаequal noise contourконтур уровня шумаnoise dose contourконтур уровня шума в районе аэропортаairport noise contourкривая снижения уровня шумаnoise level attenuation curveлиния уровня глазeye level pathмаксимально допустимый уровень шумаmaximum permissible noise levelмаршрут с минимальным уровнем шумаminimum noise routeмодификация со сниженным уровнем шумаnoise reduction modificationнад уровнем земной поверхностиabove ground levelнад уровнем моряabove mean sea levelнаклон кривой уровняslope of level(шумов) на уровне землиat the ground levelнормативный уровень шумаstandard noise levelоценка уровня шумаnoise evaluationпиковый уровень воспринимаемого шумаpeak perceived noise levelплотность воздуха на уровне моряsea level atmospheric densityпредохранительный щиток уровняsafety levelпредпочтительная по уровню шума ВППnoise preferential runwayпредпочтительный по уровню шума маршрутnoise preferential routeпроверка уровня квалификацииcompetency checkпроверка уровня подготовкиqualification trialпроверка уровня профессиональной подготовкиproficiency checkрасчетный уровень шумаdesign noise levelсертификационный уровень шумаcertificated noise levelсигнализатор уровняlevel switch(напр. топлива) среднесуточный уровень шумаday-night sound levelсредний уровень моряmean sea levelстандартный отраслевой уровень тарифовstandard industry fare levelстандартный уровень зарубежных тарифовstandard foreign fare levelсуммарный уровень звукового давленияoverall sound pressure levelтемпература на уровне моряsea-level temperatureтрубка уровняsight gageуказатель уровняlevel gageуказатель уровня в бакеtank level indicatorуменьшать уровень шумаreduce noise levelуровень аварийности1. fatality rate2. accident rate уровень авиационной подготовкиaeronautical proficiencyуровень безопасности1. safety rate2. level of safety 3. factor of safety уровень безопасности полетов воздушного суднаaircraft safety factorуровень ВППrunway levelуровень девиацииdeviation factorуровень доходовrevenue yieldуровень записиrecording levelуровень звукового воздействияsound exposure levelуровень звукового давления1. noise pressure level2. sound pressure level уровень земной поверхностиground levelуровень квалификации1. skill level2. degree of skill уровень квалификации пилотаpilot ability levelуровень летной годностиlevel of airworthinessуровень летной подготовкиpilot experience levelуровень международной стандартной атмосферыinternational standard atmosphere levelуровень моряsea levelуровень непрерывно воспринимаемого шумаcontinuous perceived noise levelуровень окружающего шумаambient noise levelуровень освещенностиillumination levelуровень полетного шумаflyover noise levelуровень положения глаз над антеннойeye-to-aerial heightуровень положения глаз над колесами шассиeye-to-wheel heightуровень положения глаз над порогом ВППeye height over the thresholdуровень помех речевой связиlevel of speech interferenceуровень превышения порога ВППthreshold levelуровень расхода топливаfuel consumption rateуровень регулярностиregularity rateуровень тарифовfare levelуровень технического обслуживанияmaintenance competencyуровень фонаbackground levelуровень шума1. noise floor2. noise level уровень шума в населенном пунктеcommunity noise levelуровень шума при заходе на посадкуapproach noise levelуровень шумового фона в кабине экипажаflight deck aural environmentуровень шумового фона в районе аэропортаacoustic airport environmentуровень электролита в аккумулятореbattery electrolyte levelустройство для снижения уровня шумаnoise abatement deviceхарактеристики уровня безопасностиsafe featuresштраф за превышение установленного уровня шумаnoise charge -
16 auto
m.1 car (coche).autos de choque Dodgems®, bumper cars2 (mystery) play (literature).auto de Navidad Nativity play3 writ, sentence, resolution from a court of law, breve.4 court order.* * *1 DERECHO decree, writ2 LITERATURA mystery play, religious play1 papers, documents\estar en autos familiar to be in the knowauto de prisión arrest warrant————————1 (coche) car\autos de choque bumper cars* * *noun m.1) automobile, car2) sentence, decision* * *ISM esp Cono Sur car, automobile (EEUU)IIauto de choque — bumper car, dodgem (Brit)
SM1) (Jur) edict, judicial decreeauto de comparecencia — summons, subpoena (EEUU)
auto de procesamiento — charge, indictment
3) (Rel, Teat) mystery play, religious play4) ( Hist)hacer un auto de fe de algo — † (fig) to burn sth
* * *1) (esp CS) (Auto) car, automobile (AmE)2) (Der) ( resolución) decision; ( orden) order, writ3) autos masculino plural ( documentación) proceedings (pl)el día/la fecha de autos — the day/date of the offense
4) (Lit, Teatr) play•* * *= record.Nota: Constancia de las declaraciones de las diferentes partes implicadas en un juicio.Ex. Enter the official proceedings and records of criminal trial, impeachment, courts-martial, etc., under the heading for the person or body prosecuted.----* auto de comparecencia = subpoena, summons, judicial summons.* auto judicial = writ.* auto sacramental = mystery play.* * *1) (esp CS) (Auto) car, automobile (AmE)2) (Der) ( resolución) decision; ( orden) order, writ3) autos masculino plural ( documentación) proceedings (pl)el día/la fecha de autos — the day/date of the offense
4) (Lit, Teatr) play•* * *= record.Nota: Constancia de las declaraciones de las diferentes partes implicadas en un juicio.Ex: Enter the official proceedings and records of criminal trial, impeachment, courts-martial, etc., under the heading for the person or body prosecuted.
* auto de comparecencia = subpoena, summons, judicial summons.* auto judicial = writ.* auto sacramental = mystery play.* * *Compuestos:( esp CS) racing car(CS) sports carCompuestos:subpoena, summonsattachment order, writ of attachmentauto-da-fécommittal, committal ordercommittal for trialse dictó auto de procesamiento contra ella she was committed for trialconstar en autos to be provenel día/la fecha de autos the day/date of the offenseCompuestos:passion play* * *
auto sustantivo masculino
1 (esp CS) (Auto) car, automobile (AmE);◊ auto de carrera (CS) racing car;
autitos chocadores (RPl bumper cars
2 (Lit, Teatr) play
auto 1 sustantivo masculino car
auto 2 sustantivo masculino Jur (orden) court order, decree, writ
auto de comparecencia, subpoena
auto de procesamiento, committal
♦ Locuciones: de autos, in question: la noche de autos, the night in question
' auto' also found in these entries:
Spanish:
acelerador
- adelantamiento
- adherencia
- agarre
- aire
- aleta
- amortiguador
- arrancar
- arranque
- atropellar
- atropello
- baca
- batería
- baúl
- bujía
- cadena
- caja
- calarse
- cámara
- cambio
- camión
- capó
- carril
- carrocería
- catalizador
- catalizadora
- cepo
- chasis
- chequeo
- cilindrada
- circuito
- circulación
- circulatoria
- circulatorio
- cojinete
- colisión
- conducir
- conductor
- conductora
- contacto
- continua
- continuo
- convertible
- copiloto
- corta
- corto
- cuarta
- cuarto
- culata
- defensa
English:
apply
- auto
- automatic
- automatic transmission
- B
- back
- back up
- backfire
- battery
- belt up
- blinkers
- blow
- blowout
- body
- bodywork
- bonnet
- boot
- bottleneck
- bottom gear
- brake
- breakdown
- breath test
- bumper
- camper
- cap
- capacity
- car
- change
- change down
- change up
- choke
- clutch
- coach
- coast
- compact
- component
- control
- convertible
- corner
- cruise
- cut in
- dashboard
- dead
- defrost
- diesel engine
- dip
- disc brakes
- disengage
- distributor
- drive
* * *auto nmCSur auto de alquiler hire car; CSur auto antiguo [de antes de 1930] vintage car; [más moderno] classic car; CSur auto bomba car bomb; CSur auto de carreras racing car;autos de choque bumper cars, Br Dodgems®;CSur auto deportivo sports car; CSur auto de época [de antes de 1930] vintage car; [más moderno] classic car; Chile autos locos bumper cars, Br Dodgems®; CSur auto sport sports car auto judicial judicial decree;auto de prisión arrest warrant;auto de procesamiento committal for trial order;dictar auto de procesamiento contra alguien to commit sb for trialconstar en autos to be recorded in the case documents;la noche de autos the night of the crime;poner a alguien en autos [en antecedentes] to inform sb of the background5. Lit = short play with biblical or allegorical subject, ≈ mystery playauto de Navidad Nativity play;auto navideño Nativity play;auto sacramental = allegorical play celebrating the Eucharist* * *1 m1 JUR order;dictar auto de detención issue an arrest warrant2:consta en autos it is a matter of record3:lugar de autos crime scene4 L.Am.AUTO car2 pref self* * *auto nm: auto, car* * *auto n car -
17 настройка (агрегата)
adjustment
- (радиоустройства с помощью органов управления на определенную частоту) — tuning. adjusting tuning circuits in а radio transmitter or receiver at any given frequency.
- (регулировка) — adjustment
-, автоматическая — automatic tuning
-, бесшумная — squelch control
бесшумная настройка обеспечивает подавление фоновых шумов при отсутствии приема передачи. — the squelch control provides no background noise when no transmission is being received.
- в резонанс — resonance tuning
-, грубая — coarse tuning
- (выставление) курсовой системы — compass system alignment
- на максимум — tuning for maximum
- на станцию — tuning in radio station
- на частоту — tuning to frequency
- регулятора оборотов — speed governor adjustment
-, точная — fine tuning
диапазон h. — tuning range
таблица h. — tuning chart
дайте h. — transmit for tuningРусско-английский сборник авиационно-технических терминов > настройка (агрегата)
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18 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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19 Sperry, Elmer Ambrose
[br]b. 21 October 1860 Cincinnatus, Cortland County, New York, USAd. 16 June 1930 Brooklyn, New York, USA[br]American entrepreneur who invented the gyrocompass.[br]Sperry was born into a farming community in Cortland County. He received a rudimentary education at the local school, but an interest in mechanical devices was aroused by the agricultural machinery he saw around him. His attendance at the Normal School in Cortland provided a useful theoretical background to his practical knowledge. He emerged in 1880 with an urge to pursue invention in electrical engineering, then a new and growing branch of technology. Within two years he was able to patent and demonstrate his arc lighting system, complete with its own generator, incorporating new methods of regulating its output. The Sperry Electric Light, Motor and Car Brake Company was set up to make and market the system, but it was difficult to keep pace with electric-lighting developments such as the incandescent lamp and alternating current, and the company ceased in 1887 and was replaced by the Sperry Electric Company, which itself was taken over by the General Electric Company.In the 1890s Sperry made useful inventions in electric mining machinery and then in electric street-or tramcars, with his patent electric brake and control system. The patents for the brake were important enough to be bought by General Electric. From 1894 to 1900 he was manufacturing electric motor cars of his own design, and in 1900 he set up a laboratory in Washington, where he pursued various electrochemical processes.In 1896 he began to work on the practical application of the principle of the gyroscope, where Sperry achieved his most notable inventions, the first of which was the gyrostabilizer for ships. The relatively narrow-hulled steamship rolled badly in heavy seas and in 1904 Ernst Otto Schuck, a German naval engineer, and Louis Brennan in England began experiments to correct this; their work stimulated Sperry to develop his own device. In 1908 he patented the active gyrostabilizer, which acted to correct a ship's roll as soon as it started. Three years later the US Navy agreed to try it on a destroyer, the USS Worden. The successful trials of the following year led to widespread adoption. Meanwhile, in 1910, Sperry set up the Sperry Gyroscope Company to extend the application to commercial shipping.At the same time, Sperry was working to apply the gyroscope principle to the ship's compass. The magnetic compass had worked well in wooden ships, but iron hulls and electrical machinery confused it. The great powers' race to build up their navies instigated an urgent search for a solution. In Germany, Anschütz-Kämpfe (1872–1931) in 1903 tested a form of gyrocompass and was encouraged by the authorities to demonstrate the device on the German flagship, the Deutschland. Its success led Sperry to develop his own version: fortunately for him, the US Navy preferred a home-grown product to a German one and gave Sperry all the backing he needed. A successful trial on a destroyer led to widespread acceptance in the US Navy, and Sperry was soon receiving orders from the British Admiralty and the Russian Navy.In the rapidly developing field of aeronautics, automatic stabilization was becoming an urgent need. In 1912 Sperry began work on a gyrostabilizer for aircraft. Two years later he was able to stage a spectacular demonstration of such a device at an air show near Paris.Sperry continued research, development and promotion in military and aviation technology almost to the last. In 1926 he sold the Sperry Gyroscope Company to enable him to devote more time to invention.[br]Principal Honours and DistinctionsJohn Fritz Medal 1927. President, American Society of Mechanical Engineers 1928.BibliographySperry filed over 400 patents, of which two can be singled out: 1908. US patent no. 434,048 (ship gyroscope); 1909. US patent no. 519,533 (ship gyrocompass set).Further ReadingT.P.Hughes, 1971, Elmer Sperry, Inventor and Engineer, Baltimore: Johns Hopkins University Press (a full and well-documented biography, with lists of his patents and published writings).LRD -
20 коррекция
коррекция сущcorrectionавтоматическая коррекция ошибокautomatic error correctionакустическая коррекцияacoustic correctionвыключатель поперечной коррекцииroll erection torque switch(авиагоризонта) двигатель азимутальной коррекцииazimuth torque motorдвигатель горизонтальной коррекцииleveling torque motorдвигатель магнитной коррекцииslaving torque motorдвигатель поперечной коррекцииroll erection torque motorдвигатель продольной коррекцииpitch erection torque motorдистанционная коррекцияslavingдоворот для коррекции направления полетаflight corrective turnзадатчик коррекции навигационного автоматаnavigation computer correction selectorкоррекция амплитудно-частотных искаженийamplitude-frequency distortion correctionкоррекция гироагрегатаgyro slavingкоррекция компасаcompass correctionкоррекция линейных искаженийlinear distortion correctionкоррекция нелинейных искаженийnonlinear distortion correctionкоррекция траектории по полученной информацииreply-to-track correlationкоррекция угла захода на посадкуapproach angle correctionкоррекция фазовых искаженийphase distortion correctionкоррекция фонаbackground correctionкоррекция частотных искаженийfrequency distortion correctionкурсовая коррекцияheading correctionмеханизм горизонтальной коррекцииgyro leveling mechanismручка коррекции газаthrottle control twist gripусилитель сигналов коррекцииslaving amplifierфазовая коррекцияphase correctionцепь коррекцииerection circuitцикл коррекцииerection cycle
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