all applications digital computer

універсальна ЕОМ

- all-applications digital computer

1) компьютер; вычислительная машина; ЭВМ; вычислительное устройство; вычислитель; редк. процессор

2) редк. счётная машина (см. тж calculator, machine)

•

- active computer

- palmtop computer

- parallel computer

1) Геология: Australian Antarctic Data Centre

2) Военный термин: Army Air Defense Commander, Army air defense command, all applications digital computer, antiaircraft defense commander, antiaircraft director center

3) Техника: advanced airborne digital computer, all-applications digital computer

4) Юридический термин: Arizona Association Of Defense Counsel

5) Телекоммуникации: Automated Area Distribution Center

6) Сокращение: American Air Defense Command, Anti-Aircraft Defence Commander, Area Air Defense Command (USA), Area Air Defense Commander, Area Air-Defense Capability, Area Air-Defense Commander, all application digital computer

7) Университет: Associate Alumnae Of Douglass College

8) Биохимия: ДАЛА, Декарбоксилаза ароматических l-аминокислот (Aromatic L-amino acid decarboxylase)

9) Транспорт: Airport Arrival Demand Chart, Allison Advanced Development Company, Approach and Departure Control

10) Фирменный знак: Arabian American Development Company

11) Должность: Advanced Alcohol And Drug Counselor

12) Хобби: Adelaide Advertising Design Club

1. advanced airborne digital computer - усовершенствованная бортовая цифровая вычислительная машина;

2. all-applications digital computer - универсальная ЭВМ;

3. Army air defense command - командование ПВО сухопутных войск;

4. Army air defense commander - командующий ПВО сухопутных войск

   1) Programs and the Complexity of Human Mental Processes

   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)

   2) Artificial Intelligence Is an Engineering Discipline

   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)

   3) A Sceptical View of Artificial Intelligence

   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, Eventually

   Just 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 Program

   Many 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)

   6) The Meaning of a Symbolic Description

   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)

   7) The Principle of Artificial Intelligence

   [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)

   8) Artificial Intelligence Recognizes the Need for Knowledge in Its Systems

   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 Form

   The basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. 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)

    10) There Are Many Types of Reasoning

   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)

    11) Programs Are Beginning to Do Things That Critics Have Asserted to Be Impossible

   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)

    12) The Synthesis of Man and Machine

   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)

    13) The Thesis of Good Old-Fashioned Artificial Intelligence (GOFAI)

   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 Formation

   It 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)

    15) Four Kinds of Artificial Intelligence

   We might distinguish among four kinds of AI.

   ♦ Nonpsychological 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.

   ♦ Weak Psychological AI

   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.

   ♦ Strong Psychological AI

... 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)

   ♦ Suprapsychological AI

   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 Contexts

   Even 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)

    17) Form and Content Are Not Fundamentally Different

   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)

    18) The Assumption That the Mind Is a Formal System

   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 Intelligence

   The 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)

    20) Mathematical Logic Provides the Basis for Theory in AI

   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 Propositions

   In 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)

    22) Definitions of Artificial Intelligence

   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)

    23) The Computer Can Not Be a Model of the Mind

   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)

    24) Computers Will Not Always Be Inferior to Human Brains

   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)

 

двойной контакт
—
[Я.Н.Лугинский, М.С.Фези-Жилинская, Ю.С.Кабиров. Англо-русский словарь по электротехнике и электроэнергетике, Москва, 1999 г.]

Тематики

• электротехника, основные понятия

EN

• double contact
• DC
• twin contacts

 

дрейфовая камера
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]

Тематики

• энергетика в целом

EN

• drift chamber
• DC

 

завершение проекта
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]

Тематики

• энергетика в целом

EN

• accomplishme
• achievement
• design completion
• DC

 

изменение конструкции или проекта
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]

Тематики

• энергетика в целом

EN

• design change
• DC

 

канал (передачи) данных
—
[Е.С.Алексеев, А.А.Мячев. Англо-русский толковый словарь по системотехнике ЭВМ. Москва 1993]

Тематики

• информационные технологии в целом

EN

• data channel
• DC

 

канал дренажей
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]

Тематики

• энергетика в целом

EN

• drain channel
• DC

 

компенсация дисперсии
(МСЭ-Т G.959.1).
[ http://www.iks-media.ru/glossary/index.html?glossid=2400324]

Тематики

• электросвязь, основные понятия

EN

• dispersion compensation
• DC

 

конденсатор выпара
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]

Тематики

• энергетика в целом

EN

• dump condenser
• DC

 

контроль документооборота
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]

Тематики

• энергетика в целом

EN

• document control
• DC

 

описание (функциональная связь)
—
[ ГОСТ Р 54325-2011 (IEC/TS 61850-2:2003)]]

Тематики

• релейная защита

EN

• description (functional constraint)
• DC

 

осаждённая угольная частица
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]

Тематики

• энергетика в целом

EN

• deposited carbon
• DC

 

отстойник (осветлитель)
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]

Тематики

• энергетика в целом

EN

• decanter
• DC

 

охладитель дренажей на ТЭС
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]

Тематики

• энергетика в целом

EN

• drain cooler
• DC

 

постоянный ток
Электрический ток, не изменяющийся во времени.
Примечание — Аналогично определяют постоянные электрическое напряжение, электродвижущую силу, магнитный поток и т. д.
[ ГОСТ Р 52002-2003]

Параллельные тексты EN-RU

For definition, the electric current called “direct” has a unidirectional trend constant in time.
As a matter of fact, by analyzing the motion of the charges at a point crossed by a direct current, it results that the quantity of charge (Q) flowing through that point (or better, through that cross section) in each instant is always the same.
[ABB]

Постоянным током называется электрический ток, значение и направление которого, не изменяются во времени.
Если рассматривать постоянный ток как прохождение элементарных электрических зарядов через определенную точку, то значение заряда (Q), протекающего через эту точку (а вернее через это поперечное сечение проводника) за единицу времени будет постоянным.
[Перевод Интент]

Direct current, which was once the main means of distributing electric power, is still widespread today in the electrical plants supplying particular industrial applications.

The advantages in terms of settings, offered by the employ of d.c. motors and by supply through a single line, make direct current supply a good solution for railway and underground systems, trams, lifts and other transport means.

In addition, direct current is used in conversion plants (installations where different types of energy are converted into electrical direct energy, e.g. photovoltaic plants) and, above all, in those emergency applications where an auxiliary energy source is required to supply essential services, such as protection systems, emergency lighting, wards and factories, alarm systems, computer centers, etc..

Accumulators - for example – constitute the most reliable energy source for these services, both directly in direct current as well as by means of uninterruptible power supply units (UPS), when loads are supplied in alternating current.
[ABB]

Когда-то электрическая энергия передавалась и распределялась только на постоянном токе. Но и в настоящее время в отдельных отраслях промышленности постоянный ток применяется достаточно широко.

Возможности использования двигателей постоянного тока и передачи электроэнергии по линии с меньшим числом проводников дают неоспоримые преимущества при электроснабжении железных дорог, подземного транспорта, трамваев, лифтов и т. д.

Кроме того, существуют источники постоянного тока, являющиеся преобразователями различных видов энергии непосредственно в электрическую энергию, например, фотоэлектрические станции. Дополнительные источники постоянного тока применяют в аварийных ситуациях для питания систем защиты, аварийного освещения жилых районов и на производстве, систем сигнализации, компьютерных центров и т. д.

Для решения указанных задач наиболее подходящим источником электроэнергии является аккумулятор. Нагрузки постоянного тока получают электропитание непосредственно от аккумулятора. Нагрузки переменного тока – от источника бесперебойного питания (ИБП), частью которого является аккумулятор.
[Перевод Интент]

Direct current can be generated:
- by using batteries or accumulators where the current is generated directly through chemical processes;
- by the rectification of alternating current through rectifiers (static conversion);
- by the conversion of mechanical work into electrical energy using dynamos (production through rotating machines).
[ABB]

Постоянный ток можно получить следующими способами:
- от аккумуляторов, в которых электрическая энергия образуется за счет происходящих внутри аккумулятора химических реакций;
- выпрямлением переменного тока с помощью выпрямителей (статических преобразователей);
- преобразованием механической энергии в электрическую с помощью генераторов постоянного тока (вращающихся машин).
[Перевод Интент]

In the low voltage field, direct current is used for different applications, which, in the following pages, have been divided into four macrofamilies including:

- conversion into other forms of electrical energy (photovoltaic plants, above all where accumulator batteries are used);
- electric traction (tram-lines, underground railways, etc.);
- supply of emergency or auxiliary services;
- particular industrial installations (electrolytic processes, etc.).
[ABB]

Можно выделить четыре области применения постоянного тока в низковольтных электроустановках:

- преобразование различных видов энергии в электрическую (фотоэлектрические установки с аккумуляторными батареями);
- энергоснабжение транспорта на электрической тяге (трамваи, метро и т. д.)
- электропитание аварийных или вспомогательных служб;
- специальные промышленные установки (например, с использованием электролитических процессов и т. п.).
[Интент]

Тематики

• электротехника, основные понятия

Синонимы

• постоянный электрический ток

EN

• constant current
• DC
• direct current

 

прямое включение
—
[Я.Н.Лугинский, М.С.Фези-Жилинская, Ю.С.Кабиров. Англо-русский словарь по электротехнике и электроэнергетике, Москва, 1999 г.]

Тематики

• электротехника, основные понятия

EN

• direct connection
• DC

 

пульт диспетчера
—
[Я.Н.Лугинский, М.С.Фези-Жилинская, Ю.С.Кабиров. Англо-русский словарь по электротехнике и электроэнергетике, Москва, 1999 г.]

Тематики

• электротехника, основные понятия

EN

• dispatcher console
• DC

 

работающий на постоянном токе
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]

Тематики

• энергетика в целом

EN

• direct-current
• DC

 

разработчик проекта
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]

Тематики

• энергетика в целом

EN

• design contractor
• DC

 

сбросной конденсатор
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]

Тематики

• энергетика в целом

EN

• dump condenser
• DC

 

символ управления устройством
—
[Е.С.Алексеев, А.А.Мячев. Англо-русский толковый словарь по системотехнике ЭВМ. Москва 1993]

Тематики

• информационные технологии в целом

EN

• direct control
• DC

 

система цифрового управления
—
[Е.С.Алексеев, А.А.Мячев. Англо-русский толковый словарь по системотехнике ЭВМ. Москва 1993]

Тематики

• информационные технологии в целом

EN

• direct control system
• dc

 

центр обработки данных
центр обработки и хранения данных
ЦОД
Консолидированный комплекс инженерно-технических средств, обеспечивающий безопасную централизованную обработку, хранение и предоставление данных, сервисов и приложений, а также вычислительную инфраструктуру для автоматизации бизнес-задач компании. ЦОД состоит из следующих элементов: серверного комплекса, хранилища данных, сети передачи данных, инфраструктуры, организационной структуры, системы управления.
[ http://www.dtln.ru/slovar-terminov]

Тематики

• ЦОДы (центры обработки данных)

Синонимы

• центр обработки и хранения данных
• ЦОД

EN

• data center
• DC

 

цифровая вычислительная машина
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]

Тематики

• энергетика в целом

EN

• digital computer
• DC

 

сеть связи
—
[http://www.rfcmd.ru/glossword/1.8/index.php?a=index&d=23]

EN

communication network
system of communication nodes and links that provides transmission of analog or digital signals

EXAMPLES Telecommunications networks, Internet, intranet, extranet, Wide Area Networks (WAN), Local Area Networks (LAN) and computer networking utilizing information technology.

NOTE 1 A network has its boundary. All nodes at the network boundary are called ends. In some applications, the term “node” is used instead of “end” as a communication access point to the network, as well as for interconnections between the transmission links.

NOTE 2 A “backbone” communication network consists of core network and high-speed transmission lines (national or international), connecting between major switching network nodes (interconnection of transmission lines) at various locations in a country or region.
[IEC 61907, ed. 1.0 (2009-12)]

FR

réseau de communication
système constitué de nœuds et de liaisons de communication assurant la transmission des signaux analogiques ou numériques

EXEMPLES Les réseaux de télécommunications, l’Internet, l'intranet, l’extranet, les réseaux étendus (WAN), les réseaux locaux (d'entreprise) (RLE) et les réseaux informatiques utilisant les technologies de l’information.

NOTE 1 Un réseau comporte sa propre frontière. L’ensemble des nœuds situés au niveau de la frontière d’un réseau s’appellent des terminaux. Dans certaines applications, le terme «nœud» est utilisé à la place du terme «terminal» comme point d'accès de communication au réseau, ainsi que pour désigner les interconnexions entre les liaisons de transmission.

NOTE 2 Un réseau de communication «fédérateur» est constitué d’un réseau central et de lignes de transmission à grande vitesse (nationales ou internationales) reliant entre eux des nœuds de réseaux de commutation importants (interconnexion de lignes de transmission) en divers lieux d'un pays ou d'une région.
[IEC 61907, ed. 1.0 (2009-12)]

Тематики

• защита информации

EN

• communication network

FR

• réseau de communication