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121 Wirth, Niklaus
SUBJECT AREA: Electronics and information technology[br]fl. late 1960s Zurich, Switzerland[br]Swiss computer engineer noted for his development of the high-level computer language PASCAL.[br]For many years Wirth was Professor of Computing Science at Zurich Federal Polytechnic School. In 1969, seeking a high-level computer language suitable for teaching programming as a systematic activity, he invented PASCAL, which is now widely used with personal computers (PCs). Unlike BASIC, which is checked and run a line at a time, PASCAL programs are compiled (i.e. they are fully checked for consistency) before they are actually run.[br]Principal Honours and DistinctionsInstitute of Electrical and Electronics Engineers Emanuel R.Piore Award 1983.Bibliography1971, "The programming language PASCAL", Acta Informatica 1:35.Further ReadingR.L.Wexelblat (ed.), 1981, History of Programming Languages, London: Academic Press.KF -
122 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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123 BIP
1) Компьютерная техника: Basic Imaging Profile, Basic Interface For Parallelism2) Военный термин: Basic Interoperability Protocol, Budget Increment Package, ballistic improvement program, balloon interrogation package, bomb impact plot, brigade initial point4) Юридический термин: Battering Intervention Program, Behavior Intervention Plan5) Телекоммуникации: Bit Interleaved Parity, Bit Interleaved Parity (SONET, SDH)6) Сокращение: Battlefield Inter-operability Program, Blown In Place (mine clearance), British Institute of Physics, Bits Per Inch7) Университет: Books In Print8) Школьное выражение: Builder Interface Project9) Вычислительная техника: Bit Interleaved Parity (SONET, BIT), bit interleave parity10) Фирменный знак: Baltic Internet Plaza, Batangas Ice Plant, British International Pictures11) Деловая лексика: Business Improvement Plan12) Программирование: Binary Integer Programming13) Океанография: Biotechnology In Public14) Расширение файла: Binary Image Processor15) Собаководство: BIP, (Best in Puppy) Лучший щенок выставки, конкурс на Лучшего щенка выставки (На выставках собак после породных рингов проводят конкурсы на Лучшего щенка выставки) -
124 bip
1) Компьютерная техника: Basic Imaging Profile, Basic Interface For Parallelism2) Военный термин: Basic Interoperability Protocol, Budget Increment Package, ballistic improvement program, balloon interrogation package, bomb impact plot, brigade initial point4) Юридический термин: Battering Intervention Program, Behavior Intervention Plan5) Телекоммуникации: Bit Interleaved Parity, Bit Interleaved Parity (SONET, SDH)6) Сокращение: Battlefield Inter-operability Program, Blown In Place (mine clearance), British Institute of Physics, Bits Per Inch7) Университет: Books In Print8) Школьное выражение: Builder Interface Project9) Вычислительная техника: Bit Interleaved Parity (SONET, BIT), bit interleave parity10) Фирменный знак: Baltic Internet Plaza, Batangas Ice Plant, British International Pictures11) Деловая лексика: Business Improvement Plan12) Программирование: Binary Integer Programming13) Океанография: Biotechnology In Public14) Расширение файла: Binary Image Processor15) Собаководство: BIP, (Best in Puppy) Лучший щенок выставки, конкурс на Лучшего щенка выставки (На выставках собак после породных рингов проводят конкурсы на Лучшего щенка выставки) -
125 основная часть
1) General subject: body, bulk, hard core, staple (чего-л.), stock, main points (Presentation - AD), centrepiece2) Medicine: main3) American: heft4) Military: basic unit, parent unit5) Engineering: bulk (материала)6) Mathematics: the basic part of, the bulk of, the greater part of, the major portion of7) Railway term: chief part8) Law: body (документа)9) Diplomatic term: main body (чего-л.)10) Information technology: basic component, main part11) Oil: main body12) Astronautics: core vehicle13) Business: above the line14) Programming: essential part15) Makarov: body (чего-л.), major part, obverse (чего-л.) -
126 основной процесс
1) Medicine: core process2) Engineering: basic process (выплавки стали)3) Metallurgy: basic practice4) Oil: basic process5) Programming: primary process6) Quality control: underlying process -
127 основные понятия
1) General subject: main definitions (Hunton & Williams), basic definitions2) Construction: basic concepts3) Business: basic terms4) Programming: central concepts -
128 unit
1) сборочная единица; узел; блок2) установка; агрегат3) единица, единица измерения || единичный; удельный4) часть; секция || секционный•as a unit — 1) в сборе 2) как единая сборочная единица; как единый узел
unit under test — 1) объект контроля 2) объект диагностирования, объект технического диагностирования
- AC unit- actuating unit
- adapter plate unit
- adaptive control unit
- address and data interface unit
- address unit
- adjusting unit
- air-aspirating unit
- answer-back unit
- arithmetic unit
- arithmetic/logic unit
- arithmetical unit
- ASC unit
- assembly unit of N-order
- assembly unit
- audio response unit
- autoloading unit
- automatic calling unit
- auxiliary data translator unit
- availability control unit
- axis unit
- axis-processing unit
- balancer unit
- banking unit
- bar feed unit
- base assembly unit
- base unit
- basic information unit
- basic length unit
- basic logic unit
- batch control unit
- bearing unit
- behind-the-tape reader unit
- belt shuttle unit
- belt-driven shuttle unit
- bench-testing unit
- blemished unit
- bolt-on unit
- booster unit
- boring spindle unit
- boring unit
- boring-and-milling unit
- brake unit
- broach retriever unit
- broach-handling unit
- broken tool sensing unit
- buffer unit
- building-block machining unit
- bulk transfer unit
- business unit
- card punching unit
- carousel loading unit
- carousel unit
- carrier unit
- cartridge unit
- cellular unit
- center unit for machine frame
- central processing unit
- central processor unit
- chain storage unit
- changer unit
- changing unit
- check unit
- chiller unit
- chip disposal unit
- clamping unit
- claw unit
- CNC machining unit
- CNC standard unit
- CNC unit
- coating application unit
- coating removal unit
- coherent unit
- column unit
- combination valve unit
- command unit
- communications central processing unit
- complementary unit
- computerized numerical control unit
- condensing unit
- cone variable-speed friction drive unit
- console unit
- constant coefficient unit
- constant delay unit
- construction unit
- control unit
- controlling unit
- conveying unit
- conveyor unit
- coolant management unit
- coolant recovery unit
- coolant unit
- cooler unit
- cooling unit
- coordinate preprogramming unit
- copying unit
- correction unit
- cover unit
- CPC handling unit
- cross tapping unit
- cross-slide unit
- cutoff unit
- cutting unit
- D unit
- damping unit
- data preparation unit
- data transmission control unit
- deep hole boring unit
- delay unit
- derived unit
- detecting unit
- detection unit
- developing unit
- digital display unit
- digital readout unit
- digital unit
- dimension readout unit
- diode array unit
- disk-type variable-speed friction drive unit
- displacement unit
- display unit
- distance-keeping unit
- double-acting unit
- double-notching unit
- double-pump and combination unit
- double-pump unit
- double-reduction gear unit
- double-reduction right-angle reduction gear unit
- double-reduction twin gear unit
- double-reduction twin unit
- double-reduction wormgear unit
- double-spindle unit
- down-hole internal deburrer unit
- dresser unit
- dressing unit
- drill unit
- drilling and milling unit
- drilling spindle unit
- drilling unit
- drilling/tapping unit
- drive unit
- drive/feed unit
- DRO unit
- dual work pallet shuttle unit
- dual-head laser beam unit
- dust-collecting unit
- dust-removing unit
- dynamic unit
- EDM unit
- electrical machining units
- electromagnetic unit
- electron-beam unit
- entry level dedicated unit
- environmental compensation unit
- exchanger unit
- fabricated unit
- facing unit
- fan coil unit
- feed box unit
- feed change unit
- feed drive cartridge unit
- feed unit
- feedback unit
- feed-in boring unit
- feed-out boring unit
- fetch-and-carry unit
- filtration unit
- fine boring unit
- flexible spindle units
- flexible tray unit
- floor unit
- focusing unit
- free-standing unit
- free-wheel unit
- free-wheeling unit
- frontal variable-speed friction drive unit
- functional unit
- fundamental unit
- gage control unit
- gage indicating unit
- gage unit
- gaging unit
- gas turbine starter auxiliary power unit
- gear unit
- gearbox unit
- gear-reversing unit
- grasping unit
- grinding spindle unit
- gripper unit
- guide unit
- handling unit
- hardware/software add-on unit
- harmonic drive unit
- head unit
- headstock-type workpiece holding unit
- hoisting unit
- horizontal power unit
- horizontal way unit
- hydraulic clamping unit
- hydraulic feed unit
- hydraulic power unit
- hydraulic testing unit
- hydraulic unit
- hydrostatic bearing unit
- ICAM manufacturing unit
- ICAM unit
- icon-driven control unit
- indexer/fourth axis unit
- indexing head unit
- indexing platen unit
- indexing table unit
- indexing unit
- in-die tapping unit
- information retrieval unit
- information unit
- input batch control unit
- input unit
- input-output unit
- in-system unit
- integral unit
- interface unit
- intermediate storage unit
- interpolating unit
- inverting unit
- keyboard unit
- knee-type unit
- lapping and superfinishing unit
- laser beam composition unit
- laser beam unit
- laser processing unit
- laser unit
- laser-calibration unit
- laser-source unit
- lead screw tap unit
- lexical unit
- lift unit
- lift-and-carry unit
- light unit
- linear ball bearing unit
- linear drive unit
- linear screw unit
- linear slide roller bearing unit
- linear unit
- live storage unit
- load/unload unit
- loading unit
- loading-and-unloading unit
- logic unit
- logical unit
- lubricating pump unit
- machine control unit
- machine tool control unit
- machine tooling unit
- machine unit
- machine-dedicated unit
- machining center unit
- machining head unit
- machining unit
- magnetic pickup unit
- magnetic tape unit
- manned flexible unit
- marking unit
- master unit
- material-handling unit
- MDI unit
- measurement unit
- measuring unit
- memory unit
- message display unit
- microdispensing unit
- microprocessor correction unit
- microprocessor NC unit
- microprocessor unit
- microprocessor-based unit
- microprocessor-type NC unit
- middle-level 3-D representation unit
- milling spindle unit
- minicomputer control unit
- miniload AS/RS unit
- mist coolant unit
- miter saw unit
- mobile unit
- mobile work storage unit
- modular cell unit
- modular loading unit
- modular unit
- motor unit
- motor-reduction unit
- multichannel analyzer unit
- multidrill unit
- multiple screw-driving unit
- multiple-power path gear unit
- multiple-reduction gear unit
- multiple-reduction unit
- multiple-spindle torque unit
- multipurpose machining unit
- multispindle boring unit
- multitap unit
- NC data creation unit
- NC unit
- nested gear unit
- notching unit
- nutating unit
- off-machine unit
- off-system unit
- oil coalescer unit
- oil-filled feed unit
- one stage gear unit
- one stage unit
- on-machine unit
- operation unit
- operational unit
- operator-friendly program unit
- orientation transfer unit
- output batch control unit
- output unit
- overhead gantry unit
- overhead spindle unit
- pack unit
- pallet change unit
- pallet exchange unit
- pallet shuttle unit
- pallet-pool unit
- parallel-shaft reduction gear unit
- PC expansion board unit
- PC-based CAD unit
- pendant control unit
- pendant pushbutton control unit
- pendant unit
- peripheral control unit
- peripheral processing unit
- photo-eye tracing unit
- pick-and-place unit
- pickup unit
- piece-holding unit
- pilot unit
- placement unit
- planetary gear unit
- planetary reduction gearing unit
- plant unit
- plasma-arc unit
- plasmarc unit
- platen unit
- PLC unit
- plugboard input unit
- plugboard unit
- plug-in unit
- pneumatic unit
- portable unit
- power feed unit
- power supply unit
- power train unit
- power unit
- power-generating unit
- power-tooling unit
- practical correction unit
- practical unit
- presetting unit
- pressurized air bearing unit
- primary storage unit
- probe unit
- processing unit
- production unit
- program unit
- programming unit
- propulsion unit
- pulling unit
- pump unit
- pumping unit
- pump-motor unit
- quill feed cam unit
- quill spindle unit
- quill unit
- raster unit
- readout unit
- reducing unit
- reduction gear unit
- reduction gearing unit
- reduction unit
- reed make contact unit
- regulating unit
- remote display unit
- replacement unit
- retriever unit
- right-angle milling unit
- right-angled milling unit
- robot power unit
- robot unit
- robot-transfer unit
- roller bearing unit
- roller unit
- roller-marking unit
- rotary unit
- rotating seal unit
- S unit
- scanning unit
- scheduling unit
- screen projection unit
- screwing unit
- sealed reed contact unit
- self-contained NC unit
- self-contained unit
- sensing unit
- sensor unit
- servo unit
- shankless boring unit
- sheet metal stamping automatic unit
- shop replaceable unit
- shuttle unit
- shuttle-and-lift unit
- side unit
- single-acting unit
- single-light unit
- single-reduction gear unit
- single-reduction unit
- sizing unit
- slant bed unit
- slave unit
- slide unit
- sliding table unit
- smallest replaceable unit
- spare unit
- speeder unit
- speed-increase unit
- speed-up spindle unit
- speed-up unit
- spindle box unit
- spindle cartridge unit
- spindle drive unit
- spindle unit
- stabilizing unit
- stand-alone unit
- standard build units
- starter auxiliary power unit
- static tooling unit
- steam generating unit
- stock feed unit
- storage unit
- stylus unit
- sub-multiple unit
- swing arm-mounted control unit
- tangent unit
- tapping unit
- teach control unit
- terminal control unit
- test unit
- testing unit
- thermal detecting unit
- tilting unit
- tolerance unit
- tool storage unit
- tool-presetting unit
- tool-spindle unit
- toroidal variable-speed friction drive unit
- track and store unit
- transfer unit
- transmission control unit
- transmission unit
- transmitter/receiver unit
- transport unit
- triple-reduction gear unit
- triple-reduction unit
- tuning unit
- turnaround unit
- turning spindle unit
- turnround unit
- turret unit
- twin gear unit
- twin saw unit
- twin-drive unit
- twin-screen unit
- unit of displacement
- unit of measure
- unit of measurement
- unit of physical quantity
- unit of product
- unit of work per unit of time
- unmanned machining unit
- vacuum unit
- variable coefficient unit
- variable delay unit
- variable preload bearing unit
- variable ratio unit
- variable speed unit
- variable-speed friction drive unit
- V-axis grinding unit
- V-belt variable-speed drive unit
- V-drive unit
- vertical way unit
- vibratory feed unit
- vise unit
- visual display unit
- vocal output unit
- VTL unit
- waveform gear reduction unit
- wheel-dressing unit
- wheel-head unit
- wing unit
- wing-base unit
- work storage unit
- work-holding headstock unit
- workshop video unit
- work-testing unit
- worm reduction unit
- writing unit
- yet-to-be-assembled unitEnglish-Russian dictionary of mechanical engineering and automation > unit
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