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1 model
1. модель; макет; образец; эталон/ модельный/ моделировать2. модель; вариант; типactuator modelactuator disk modeladvanced development modelaerodynamic modelaeroelastic modelaeroelastically scaled modelair combat modelairplane modelairplane-like modelapproach modelarrow-wing modelatmospheric modelautopilot modelautorotation modelautothrottle modelBaldwin-Lomax modelbasic modelbeam modelbeam/lumped mass modelbiomorphic modelblowing modelbody alone modelbreadboard modelcable-mounted modelcargo load modelCFD modelcombustion modelcombustion-flow modelcommand modelcompensatory modelcomposite modelcompressibility modified modelcomputer modelcone-cylinder modelcone-finned modelconical-flow modelconsistent modelconstant amplitude fatigue modelconstitutive modelcontinuous-mass modelcontinuum modelcontroller modelcorrelation modelcounter-rotation modelcrack modelcrack growth modelcrack growth retardation modelcrossover modelcumulative damage modeldamage accumulation modeldamper modeldatabase modeldeterministic modeldevelopment-type modeldifferential-game modeldiscrete modeldistributed lift modeldisturbance modeldowndraft modeldrop modelDryden modelDugdale modeldynamically scaled modeldynamics modelenergy-conservation modelengagement modelengine modelengineering development modelerror modelfailure modelfatigue modelfilament modelfine grid modelfinite element modelfixed-base modelfixed-wing modelflow modelflutter modelflutter-suppression modelfour-input/four-output modelfractional derivative modelfracture modelfree to roll modelfree-flight modelfree-flying modelfree-spinning modelfreely flying modelfrequency-domain modelfull modelfull-order modelfull-span modelfull-span wing modelgame modelgeneric modelgeometric modelgeometrically scaled modelgravity modelgravity anomaly modelgust modelhalf-plane modelhalf-wing modelhigh-fineness-ratio modelhuman operator modelidentified modelilluminated modelinfinite-blade modelinput modelinstrumented modelinverse modelisolated wing modelk-e modelk-W modelkinematic modelkinetic modellarge-scale modellead-lag pilot modellead-only pilot modellinear modellongitudinal modellower-order modellumped parameter modellumped-mass modelMach-scaled modelmagnetically suspended modelmass-and-spring modelmass-spring modelMaxwell modelmembrane and rod modelmeteorological modelmicromechanical modelMiner-Palmgren damage modelminimum phase modelmissile modelmodal modelmomentum-conserved modelmoving modelmultiaxis modelmultidegree of freedom modelmultiloop modelmultiscale modelneuromuscular modelobservation modelover-parameterized modelparabolized Navier-Stokes modelpendulation modelperformance modelperturbation modelphenomenological modelphysical modelpilot-aircraft modelpilot-vehicle modelpiston modelpitch modelpitch-plunge modelpitch-lateral-directional modelplant modelplastic modelpneumodynamic modelpowered modelpowered-lift modelprecision modelprediction modelpreview modelproduction modelproperly parameterized modelpropfan modelpropulsion modelpure gain pilot modelquantized modelquasi-static modelR&M modelradar modelradial spring modelradio control modelradio controlled modelreal-world modelreduced order modelreference modelreflectivity modelreingestion modelreplica modelreplica-type modelrocket-propelled modelroll modelrotor-body modelrotorcraft modelscale modelscaled modelscattering modelself-consistent modelsemiempirical modelsemispan modelsemispan wing modelsensitivity modelsimulation modelsingle-axis modelsingle-body modelsingle-rotation modelspectrum fatigue modelspray modelstall modelstate modelstate space modelstatistical modelstiffness modelstochastic modelstress modelstructural modelstudy modelsupersonic cruise modeltask modelterrain modelthin-jet modelthree-degree-of-a-freedom modelthree-state modelthrust modeltire modeltransfer-function modeltransparent modeltruth modeltunnel-supported modelturbulence modeltwin-body modeltwo layer turbulence modeltwo-control modeltwo-degrees-of-freedom modeltwo-equation turbulence modelunquantized modeluntuned modelusage modelV/STOL modelvaporization modelvehicle stability modelvertical dynamic modelvestibular modelviscous/inviscid modelvisual cueing modelwake modelwake/wing modelwater tunnel modelWheeler retardation modelwind-tunnel modelwindshear modelwing-canard modelwing-rotor modelwireframe modelyaw model -
2 model
A n1 ( scale representation) (for planning, engineering) maquette f (of de) ; ( made as hobby) maquette f (of de) ;2 (version of car, appliance, garment) modèle m ; the new/latest model le nouveau/dernier modèle ; a 1956 model (car) une voiture modèle 1956 ;3 ( person) (for artist, photographer) modèle m ; ( showing clothes) mannequin m ; top/fashion model mannequin de luxe/de mode ;4 (example, thing to be copied) modèle m ; to be a ou serve as a model for sth servir de modèle à qch ; a model of un modèle de [tact, fairness, good government] ; a legal system on the British model un système judiciaire sur le modèle britannique ; to hold sth up ou out as a model prendre qch pour modèle ;B adj1 [railway, train, soldier, village] miniature ; [aeroplane, boat, car] modèle réduit ;2 ( new and exemplary) [farm, hospital, prison] modèle, pilote ;3 ( perfect) [spouse, student, conduct] modèle.1 to model sth on sth modeler qch sur qch ;2 [fashion model] présenter [garment, design] ;3 ( shape) modeler [clay, wax, figure, head] (in en) ;1 [artist's model] poser (for pour) ;2 [fashion model] travailler comme mannequin (for pour) ;1 [clothes] présenté (by par) ;2 modelled on sth modelé sur qch. -
3 SME
1) Компьютерная техника: Simple Menu Entry2) Американизм: Small And Medium Enterprise3) Военный термин: School of Military Engineering, Society of Military Engineers, Spartan missile equipment, standard medical examination, surface measuring equipment5) Горное дело: Общество горного дела, металлургии и геологоразведки, Society for Mining, Metallurgy, and Exploration, Inc.6) Сокращение: Special Mission Equipment, Subject Matter Expert, Syarikat Malaysia Explosives Sdn Bhd, Short Message Entity7) Вычислительная техника: Storage Management Engine, Storage Management Engine (Novell, Netware, SMS), Solar Mesosphere Explorer (Space), Society of Manufacturing Engineering (organization, USA)8) Литература: Sustaining Membership Enrollment10) Связь: Small Medium Enterprises11) Космонавтика: Solar Mesosphere Explorer12) Банковское дело: (smal and medium-sized enterprises) МСБ (малый и средний бизнес)13) Пищевая промышленность: Scale Model Engineering, Sunflower Methyl Ester14) Фирменный знак: Scout Mountain Equipment, Small or Medium Enterprise, State Of Mississippi Entrepreneurs15) Деловая лексика: Small/ Medium Enterprise, Standard Metropolitan Enterprises, малые и средние предприятия (small and medium-sized enterprises)16) Нефтегазовая техника Общество горных инженеров (США, Society of Mining Engineers)17) Образование: Sales and Marketing Executives, Inc.18) Сетевые технологии: Synchronous Modem Eliminator19) ЕБРР: small and medium-sized enterprises20) Полимеры: Society of Manufacturing Engineers21) Автоматика: Society of Manufacturing Engineering, shape memory effect22) Безопасность: Short Message Encryption23) ООН: Significant Military Equipment24) Должность: Search Marketing Engineer, Senior Mining Engineer25) Хобби: Scale Model Equipment26) Музеи: State Museum of Ethnography -
4 test
1. n испытание; проба, проверка; опробованиеfield test — полевое испытание; испытание в эксплуатационных условиях
bench test — заводские испытания, испытания в заводских условиях
test by experiment — проверка на опыте, опытная проверка
under test — испытываемый, испытуемый
test data — данные испытаний, эмпирические данные
2. n мерило, пробный камень; серьёзное испытание; критерийtrade test — профессиональные испытания, проверка мастерства
test dose — тест-доза, пробная, контрольная или опытная доза
3. n проверочная или контрольная работа; экзамен4. n психол. тестmarch test — тест "марш"
5. n хим. исследование; анализ; опыт, проба, реакцияblood test — анализ крови, исследование крови
6. n хим. пробирная чашка7. n хим. хим. реактив8. n хим. рел. отречение от признания папской власти и догмата пресуществления9. v подвергать испытанию; испытывать, проверять; опробоватьsampling test — выборочный контроль; периодические испытания
proof test — испытание; приёмочное или проверочное испытание
10. v быть мерилом11. v проверять, убеждатьсяhe wanted to test whether a small group of specialists could show greater productivity — он хотел проверить, сможет ли небольшая группа специалистов поднять производительность труда
12. v пробоваться13. v обнаруживать определённые свойства в результате испытаний14. v тестировать, проверять с помощью тестовtest program — тест; тестовая программа; программа испытаний
15. v экзаменовать; давать контрольную работу16. v хим. подвергать действию реактива17. v хим. производить опыты18. v хим. брать пробу19. n зоол. панцирь; щит; скорлупа20. v юр. официально подтверждатьСинонимический ряд:1. experimental (adj.) experimental; experimentative; trial2. comprehensive (noun) catechisation; catechism; comprehensive; exam; examination; final; questionnaire; quiz; review3. experiment (noun) experiment; experimentation4. standard (noun) benchmark; criterion; gauge; mark; measure; standard; touchstone; yardstick5. trial (noun) analysis; assay; check; essay; experiment; experimentation; inquest; inquiry; inspection; investigation; probation; proof; trial; trial and error; trial run6. analyze (verb) analyze; inspect; investigate; probe7. examine (verb) examine; question; quiz8. try (verb) analyse; assay; check; demonstrate; essay; experiment; inquire; prove; try; try out; verify -
5 By, Lieutenant-Colonel John
SUBJECT AREA: Canals[br]b. 7 (?) August 1779 Lambeth, London, Englandd. 1 February 1836 Frant, Sussex, England[br]English Engineer-in-Charge of the construction of the Rideau Canal, linking the St Lawrence and Ottawa Rivers in Canada.[br]Admitted in 1797 as a Gentleman Cadet in the Royal Military Academy at Woolwich, By was commissioned on 1 August 1799 as a second lieutenant in the Royal Artillery, but was soon transferred to the Royal Engineers. Posted to Plymouth upon the development of the fortifications, he was further posted to Canada, arriving there in August 1802.In 1803 By was engaged in canal work, assisting Captain Bruyères in the construction of a short canal (1,500 ft (460 m) long) at the Cascades on the Grand, now the Ottawa, River. In 1805 he was back at the Cascades repairing ice damage caused during the previous winter. He was promoted Captain in 1809. Meanwhile he worked on the fortifications of Quebec and in 1806–7 he built a scale model of the Citadel, which is now in the National War Museum of Canada. He returned to England in 1810 and served in Portugal in 1811. Back in England at the end of the year, he was appointed Royal Engineer Officer in charge at the Waltham Abbey Gunpowder Works on 1 January 1812 and later planned the new Small Arms Factory at Enfield; both works were on the navigable River Lee.In the post-Napoleonic period Major By, as he then was, retired on half-pay but was promoted to Lieu tenant-Colonel on 2 December 1824. Eighteen months later, in March 1826, he returned to Canada on active duty to build the Rideau Canal. This was John By's greatest work. It was conceived after the American war of 1812–14 as a connection for vessels to reach Kingston and the Great Lakes from Montreal while avoiding possible attack from the United States forces. Ships would pass up the Ottawa River using the already-constructed locks and bypass channels and then travel via a new canal cut through virgin forest southwards to the St Lawrence at Kingston. By based his operational headquarters at the Ottawa River end of the new works and in a forest clearing he established a small settlement. Because of the regard in which By was held, this settlement became known as By town. In 1855, long after By's death, the settlement was designated by Queen Victoria as capital of United Canada (which was to become a self-governing Dominion in 1867) and renamed Ottawa; as a result of the presence of the national government, the growth of the town accelerated greatly.Between 1826–7 and 1832 the Rideau Canal was constructed. It included the massive engineering works of Jones Falls Dam (62 ft 6 in. (19 m) high) and 47 locks. By exercised an almost paternal care over those employed under his direction. The canal was completed in June 1832 at a cost of £800,000. By was summoned back to London to face virulent and unjust criticism from the Treasury. He was honoured in Canada but vilified by the British Government.[br]Further ReadingR.F.Leggett, 1982, John By, Historical Society of Canada.—1976, Canals of Canada, Newton Abbot: David \& Charles.—1972, Rideau Waterway, Toronto: University of Toronto Press.Bernard Pothier, 1978, "The Quebec Model", Canadian War Museum Paper 9, Ottawa: National Museums of Canada.JHBBiographical history of technology > By, Lieutenant-Colonel John
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6 Leonardo da Vinci
[br]b. 15 April 1452 Vinci, near Florence, Italy,d. 2 May 1519 St Cloux, near Amboise, France.[br]Italian scientist, engineer, inventor and artist.[br]Leonardo was the illegitimate son of a Florentine lawyer. His first sixteen years were spent with the lawyer's family in the rural surroundings of Vinci, which aroused in him a lifelong love of nature and an insatiable curiosity in it. He received little formal education but extended his knowledge through private reading. That gave him only a smattering of Latin, a deficiency that was to be a hindrance throughout his active life. At sixteen he was apprenticed in the studio of Andrea del Verrochio in Florence, where he received a training not only in art but in a wide variety of crafts and technical arts.In 1482 Leonardo went to Milan, where he sought and obtained employment with Ludovico Sforza, later Duke of Milan, partly to sculpt a massive equestrian statue of Ludovico but the work never progressed beyond the full-scale model stage. He did, however, complete the painting which became known as the Virgin of the Rocks and in 1497 his greatest artistic achievement, The Last Supper, commissioned jointly by Ludovico and the friars of Santa Maria della Grazie and painted on the wall of the monastery's refectory. Leonardo was responsible for the court pageants and also devised a system of irrigation to supply water to the plains of Lombardy. In 1499 the French army entered Milan and deposed Leonardo's employer. Leonardo departed and, after a brief visit to Mantua, returned to Florence, where for a time he was employed as architect and engineer to Cesare Borgia, Duke of Romagna. Around 1504 he completed another celebrated work, the Mona Lisa.In 1506 Leonardo began his second sojourn in Milan, this time in the service of King Louis XII of France, who appointed him "painter and engineer". In 1513 Leonardo left for Rome in the company of his pupil Francesco Melzi, but his time there was unproductive and he found himself out of touch with the younger artists active there, Michelangelo above all. In 1516 he accepted with relief an invitation from King François I of France to reside at the small château of St Cloux in the royal domain of Amboise. With the pension granted by François, Leonardo lived out his remaining years in tranquility at St Cloux.Leonardo's career can hardly be regarded as a success or worthy of such a towering genius. For centuries he was known only for the handful of artistic works that he managed to complete and have survived more or less intact. His main activity remained hidden until the nineteenth and twentieth centuries, during which the contents of his notebooks were gradually revealed. It became evident that Leonardo was one of the greatest scientific investigators and inventors in the history of civilization. Throughout his working life he extended a searching curiosity over an extraordinarily wide range of subjects. The notes show careful investigation of questions of mechanical and civil engineering, such as power transmission by means of pulleys and also a form of chain belting. The notebooks record many devices, such as machines for grinding and polishing lenses, a lathe operated by treadle-crank, a rolling mill with conical rollers and a spinning machine with pinion and yard divider. Leonardo made an exhaustive study of the flight of birds, with a view to designing a flying machine, which obsessed him for many years.Leonardo recorded his observations and conclusions, together with many ingenious inventions, on thousands of pages of manuscript notes, sketches and drawings. There are occasional indications that he had in mind the publication of portions of the notes in a coherent form, but he never diverted his energy into putting them in order; instead, he went on making notes. As a result, Leonardo's impact on the development of science and technology was virtually nil. Even if his notebooks had been copied and circulated, there were daunting impediments to their understanding. Leonardo was left-handed and wrote in mirror-writing: that is, in reverse from right to left. He also used his own abbreviations and no punctuation.At his death Leonardo bequeathed his entire output of notes to his friend and companion Francesco Melzi, who kept them safe until his own death in 1570. Melzi left the collection in turn to his son Orazio, whose lack of interest in the arts and sciences resulted in a sad period of dispersal which endangered their survival, but in 1636 the bulk of them, in thirteen volumes, were assembled and donated to the Ambrosian Library in Milan. These include a large volume of notes and drawings compiled from the various portions of the notebooks and is now known as the Codex Atlanticus. There they stayed, forgotten and ignored, until 1796, when Napoleon's marauding army overran Italy and art and literary works, including the thirteen volumes of Leonardo's notebooks, were pillaged and taken to Paris. After the war in 1815, the French government agreed to return them but only the Codex Atlanticus found its way back to Milan; the rest remained in Paris. The appendix to one notebook, dealing with the flight of birds, was later regarded as of sufficient importance to stand on its own. Four small collections reached Britain at various times during the seventeenth and eighteenth centuries; of these, the volume in the Royal Collection at Windsor Castle is notable for its magnificent series of anatomical drawings. Other collections include the Codex Leicester and Codex Arundel in the British Museum in London, and the Madrid Codices in Spain.Towards the end of the nineteenth century, Leonardo's true stature as scientist, engineer and inventor began to emerge, particularly with the publication of transcriptions and translations of his notebooks. The volumes in Paris appeared in 1881–97 and the Codex Atlanticus was published in Milan between 1894 and 1904.[br]Principal Honours and Distinctions"Premier peintre, architecte et mécanicien du Roi" to King François I of France, 1516.Further ReadingE.MacCurdy, 1939, The Notebooks of Leonardo da Vinci, 2 vols, London; 2nd edn, 1956, London (the most extensive selection of the notes, with an English translation).G.Vasari (trans. G.Bull), 1965, Lives of the Artists, London: Penguin, pp. 255–271.C.Gibbs-Smith, 1978, The Inventions of Leonardo da Vinci, Oxford: Phaidon. L.H.Heydenreich, Dibner and L. Reti, 1981, Leonardo the Inventor, London: Hutchinson.I.B.Hart, 1961, The World of Leonardo da Vinci, London: Macdonald.LRD / IMcN -
7 modular data center
модульный центр обработки данных (ЦОД)
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[Интент]Параллельные тексты EN-RU
[ http://dcnt.ru/?p=9299#more-9299]
Data Centers are a hot topic these days. No matter where you look, this once obscure aspect of infrastructure is getting a lot of attention. For years, there have been cost pressures on IT operations and this, when the need for modern capacity is greater than ever, has thrust data centers into the spotlight. Server and rack density continues to rise, placing DC professionals and businesses in tighter and tougher situations while they struggle to manage their IT environments. And now hyper-scale cloud infrastructure is taking traditional technologies to limits never explored before and focusing the imagination of the IT industry on new possibilities.
В настоящее время центры обработки данных являются широко обсуждаемой темой. Куда ни посмотришь, этот некогда малоизвестный аспект инфраструктуры привлекает все больше внимания. Годами ИТ-отделы испытывали нехватку средств и это выдвинуло ЦОДы в центр внимания, в то время, когда необходимость в современных ЦОДах стала как никогда высокой. Плотность серверов и стоек продолжают расти, все больше усложняя ситуацию для специалистов в области охлаждения и организаций в их попытках управлять своими ИТ-средами. И теперь гипермасштабируемая облачная инфраструктура подвергает традиционные технологии невиданным ранее нагрузкам, и заставляет ИТ-индустрию искать новые возможности.
At Microsoft, we have focused a lot of thought and research around how to best operate and maintain our global infrastructure and we want to share those learnings. While obviously there are some aspects that we keep to ourselves, we have shared how we operate facilities daily, our technologies and methodologies, and, most importantly, how we monitor and manage our facilities. Whether it’s speaking at industry events, inviting customers to our “Microsoft data center conferences” held in our data centers, or through other media like blogging and white papers, we believe sharing best practices is paramount and will drive the industry forward. So in that vein, we have some interesting news to share.
В компании MicroSoft уделяют большое внимание изучению наилучших методов эксплуатации и технического обслуживания своей глобальной инфраструктуры и делятся результатами своих исследований. И хотя мы, конечно, не раскрываем некоторые аспекты своих исследований, мы делимся повседневным опытом эксплуатации дата-центров, своими технологиями и методологиями и, что важнее всего, методами контроля и управления своими объектами. Будь то доклады на отраслевых событиях, приглашение клиентов на наши конференции, которые посвящены центрам обработки данных MicroSoft, и проводятся в этих самых дата-центрах, или использование других средств, например, блоги и спецификации, мы уверены, что обмен передовым опытом имеет первостепенное значение и будет продвигать отрасль вперед.
Today we are sharing our Generation 4 Modular Data Center plan. This is our vision and will be the foundation of our cloud data center infrastructure in the next five years. We believe it is one of the most revolutionary changes to happen to data centers in the last 30 years. Joining me, in writing this blog are Daniel Costello, my director of Data Center Research and Engineering and Christian Belady, principal power and cooling architect. I feel their voices will add significant value to driving understanding around the many benefits included in this new design paradigm.
Сейчас мы хотим поделиться своим планом модульного дата-центра четвертого поколения. Это наше видение и оно будет основанием для инфраструктуры наших облачных дата-центров в ближайшие пять лет. Мы считаем, что это одно из самых революционных изменений в дата-центрах за последние 30 лет. Вместе со мной в написании этого блога участвовали Дэниел Костелло, директор по исследованиям и инжинирингу дата-центров, и Кристиан Белади, главный архитектор систем энергоснабжения и охлаждения. Мне кажется, что их авторитет придаст больше веса большому количеству преимуществ, включенных в эту новую парадигму проектирования.
Our “Gen 4” modular data centers will take the flexibility of containerized servers—like those in our Chicago data center—and apply it across the entire facility. So what do we mean by modular? Think of it like “building blocks”, where the data center will be composed of modular units of prefabricated mechanical, electrical, security components, etc., in addition to containerized servers.
Was there a key driver for the Generation 4 Data Center?Наши модульные дата-центры “Gen 4” будут гибкими с контейнерами серверов – как серверы в нашем чикагском дата-центре. И гибкость будет применяться ко всему ЦОД. Итак, что мы подразумеваем под модульностью? Мы думаем о ней как о “строительных блоках”, где дата-центр будет состоять из модульных блоков изготовленных в заводских условиях электрических систем и систем охлаждения, а также систем безопасности и т.п., в дополнение к контейнеризованным серверам.
Был ли ключевой стимул для разработки дата-центра четвертого поколения?
If we were to summarize the promise of our Gen 4 design into a single sentence it would be something like this: “A highly modular, scalable, efficient, just-in-time data center capacity program that can be delivered anywhere in the world very quickly and cheaply, while allowing for continued growth as required.” Sounds too good to be true, doesn’t it? Well, keep in mind that these concepts have been in initial development and prototyping for over a year and are based on cumulative knowledge of previous facility generations and the advances we have made since we began our investments in earnest on this new design.Если бы нам нужно было обобщить достоинства нашего проекта Gen 4 в одном предложении, это выглядело бы следующим образом: “Центр обработки данных с высоким уровнем модульности, расширяемости, и энергетической эффективности, а также возможностью постоянного расширения, в случае необходимости, который можно очень быстро и дешево развертывать в любом месте мира”. Звучит слишком хорошо для того чтобы быть правдой, не так ли? Ну, не забывайте, что эти концепции находились в процессе начальной разработки и создания опытного образца в течение более одного года и основываются на опыте, накопленном в ходе развития предыдущих поколений ЦОД, а также успехах, сделанных нами со времени, когда мы начали вкладывать серьезные средства в этот новый проект.
One of the biggest challenges we’ve had at Microsoft is something Mike likes to call the ‘Goldilock’s Problem’. In a nutshell, the problem can be stated as:
The worst thing we can do in delivering facilities for the business is not have enough capacity online, thus limiting the growth of our products and services.Одну из самых больших проблем, с которыми приходилось сталкиваться Майкрософт, Майк любит называть ‘Проблемой Лютика’. Вкратце, эту проблему можно выразить следующим образом:
Самое худшее, что может быть при строительстве ЦОД для бизнеса, это не располагать достаточными производственными мощностями, и тем самым ограничивать рост наших продуктов и сервисов.The second worst thing we can do in delivering facilities for the business is to have too much capacity online.
А вторым самым худшим моментом в этой сфере может слишком большое количество производственных мощностей.
This has led to a focus on smart, intelligent growth for the business — refining our overall demand picture. It can’t be too hot. It can’t be too cold. It has to be ‘Just Right!’ The capital dollars of investment are too large to make without long term planning. As we struggled to master these interesting challenges, we had to ensure that our technological plan also included solutions for the business and operational challenges we faced as well.
So let’s take a high level look at our Generation 4 designЭто заставило нас сосредоточиваться на интеллектуальном росте для бизнеса — refining our overall demand picture. Это не должно быть слишком горячим. И это не должно быть слишком холодным. Это должно быть ‘как раз, таким как надо!’ Нельзя делать такие большие капиталовложения без долгосрочного планирования. Пока мы старались решить эти интересные проблемы, мы должны были гарантировать, что наш технологический план будет также включать решения для коммерческих и эксплуатационных проблем, с которыми нам также приходилось сталкиваться.
Давайте рассмотрим наш проект дата-центра четвертого поколенияAre you ready for some great visuals? Check out this video at Soapbox. Click here for the Microsoft 4th Gen Video.
It’s a concept video that came out of my Data Center Research and Engineering team, under Daniel Costello, that will give you a view into what we think is the future.
From a configuration, construct-ability and time to market perspective, our primary goals and objectives are to modularize the whole data center. Not just the server side (like the Chicago facility), but the mechanical and electrical space as well. This means using the same kind of parts in pre-manufactured modules, the ability to use containers, skids, or rack-based deployments and the ability to tailor the Redundancy and Reliability requirements to the application at a very specific level.
Посмотрите это видео, перейдите по ссылке для просмотра видео о Microsoft 4th Gen:
Это концептуальное видео, созданное командой отдела Data Center Research and Engineering, возглавляемого Дэниелом Костелло, которое даст вам наше представление о будущем.
С точки зрения конфигурации, строительной технологичности и времени вывода на рынок, нашими главными целями и задачами агрегатирование всего дата-центра. Не только серверную часть, как дата-центр в Чикаго, но также системы охлаждения и электрические системы. Это означает применение деталей одного типа в сборных модулях, возможность использования контейнеров, салазок, или стоечных систем, а также возможность подстраивать требования избыточности и надежности для данного приложения на очень специфичном уровне.Our goals from a cost perspective were simple in concept but tough to deliver. First and foremost, we had to reduce the capital cost per critical Mega Watt by the class of use. Some applications can run with N-level redundancy in the infrastructure, others require a little more infrastructure for support. These different classes of infrastructure requirements meant that optimizing for all cost classes was paramount. At Microsoft, we are not a one trick pony and have many Online products and services (240+) that require different levels of operational support. We understand that and ensured that we addressed it in our design which will allow us to reduce capital costs by 20%-40% or greater depending upon class.
Нашими целями в области затрат были концептуально простыми, но трудно реализуемыми. В первую очередь мы должны были снизить капитальные затраты в пересчете на один мегаватт, в зависимости от класса резервирования. Некоторые приложения могут вполне работать на базе инфраструктуры с резервированием на уровне N, то есть без резервирования, а для работы других приложений требуется больше инфраструктуры. Эти разные классы требований инфраструктуры подразумевали, что оптимизация всех классов затрат имеет преобладающее значение. В Майкрософт мы не ограничиваемся одним решением и располагаем большим количеством интерактивных продуктов и сервисов (240+), которым требуются разные уровни эксплуатационной поддержки. Мы понимаем это, и учитываем это в своем проекте, который позволит нам сокращать капитальные затраты на 20%-40% или более в зависимости от класса.For example, non-critical or geo redundant applications have low hardware reliability requirements on a location basis. As a result, Gen 4 can be configured to provide stripped down, low-cost infrastructure with little or no redundancy and/or temperature control. Let’s say an Online service team decides that due to the dramatically lower cost, they will simply use uncontrolled outside air with temperatures ranging 10-35 C and 20-80% RH. The reality is we are already spec-ing this for all of our servers today and working with server vendors to broaden that range even further as Gen 4 becomes a reality. For this class of infrastructure, we eliminate generators, chillers, UPSs, and possibly lower costs relative to traditional infrastructure.
Например, некритичные или гео-избыточные системы имеют низкие требования к аппаратной надежности на основе местоположения. В результате этого, Gen 4 можно конфигурировать для упрощенной, недорогой инфраструктуры с низким уровнем (или вообще без резервирования) резервирования и / или температурного контроля. Скажем, команда интерактивного сервиса решает, что, в связи с намного меньшими затратами, они будут просто использовать некондиционированный наружный воздух с температурой 10-35°C и влажностью 20-80% RH. В реальности мы уже сегодня предъявляем эти требования к своим серверам и работаем с поставщиками серверов над еще большим расширением диапазона температур, так как наш модуль и подход Gen 4 становится реальностью. Для подобного класса инфраструктуры мы удаляем генераторы, чиллеры, ИБП, и, возможно, будем предлагать более низкие затраты, по сравнению с традиционной инфраструктурой.
Applications that demand higher level of redundancy or temperature control will use configurations of Gen 4 to meet those needs, however, they will also cost more (but still less than traditional data centers). We see this cost difference driving engineering behavioral change in that we predict more applications will drive towards Geo redundancy to lower costs.
Системы, которым требуется более высокий уровень резервирования или температурного контроля, будут использовать конфигурации Gen 4, отвечающие этим требованиям, однако, они будут также стоить больше. Но все равно они будут стоить меньше, чем традиционные дата-центры. Мы предвидим, что эти различия в затратах будут вызывать изменения в методах инжиниринга, и по нашим прогнозам, это будет выражаться в переходе все большего числа систем на гео-избыточность и меньшие затраты.
Another cool thing about Gen 4 is that it allows us to deploy capacity when our demand dictates it. Once finalized, we will no longer need to make large upfront investments. Imagine driving capital costs more closely in-line with actual demand, thus greatly reducing time-to-market and adding the capacity Online inherent in the design. Also reduced is the amount of construction labor required to put these “building blocks” together. Since the entire platform requires pre-manufacture of its core components, on-site construction costs are lowered. This allows us to maximize our return on invested capital.
Еще одно достоинство Gen 4 состоит в том, что он позволяет нам разворачивать дополнительные мощности, когда нам это необходимо. Как только мы закончим проект, нам больше не нужно будет делать большие начальные капиталовложения. Представьте себе возможность более точного согласования капитальных затрат с реальными требованиями, и тем самым значительного снижения времени вывода на рынок и интерактивного добавления мощностей, предусматриваемого проектом. Также снижен объем строительных работ, требуемых для сборки этих “строительных блоков”. Поскольку вся платформа требует предварительного изготовления ее базовых компонентов, затраты на сборку также снижены. Это позволит нам увеличить до максимума окупаемость своих капиталовложений.
Мы все подвергаем сомнениюIn our design process, we questioned everything. You may notice there is no roof and some might be uncomfortable with this. We explored the need of one and throughout our research we got some surprising (positive) results that showed one wasn’t needed.
В своем процессе проектирования мы все подвергаем сомнению. Вы, наверное, обратили внимание на отсутствие крыши, и некоторым специалистам это могло не понравиться. Мы изучили необходимость в крыше и в ходе своих исследований получили удивительные результаты, которые показали, что крыша не нужна.
Серийное производство дата центров
In short, we are striving to bring Henry Ford’s Model T factory to the data center. http://en.wikipedia.org/wiki/Henry_Ford#Model_T. Gen 4 will move data centers from a custom design and build model to a commoditized manufacturing approach. We intend to have our components built in factories and then assemble them in one location (the data center site) very quickly. Think about how a computer, car or plane is built today. Components are manufactured by different companies all over the world to a predefined spec and then integrated in one location based on demands and feature requirements. And just like Henry Ford’s assembly line drove the cost of building and the time-to-market down dramatically for the automobile industry, we expect Gen 4 to do the same for data centers. Everything will be pre-manufactured and assembled on the pad.Мы хотим применить модель автомобильной фабрики Генри Форда к дата-центру. Проект Gen 4 будет способствовать переходу от модели специализированного проектирования и строительства к товарно-производственному, серийному подходу. Мы намерены изготавливать свои компоненты на заводах, а затем очень быстро собирать их в одном месте, в месте строительства дата-центра. Подумайте о том, как сегодня изготавливается компьютер, автомобиль или самолет. Компоненты изготавливаются по заранее определенным спецификациям разными компаниями во всем мире, затем собираются в одном месте на основе спроса и требуемых характеристик. И точно так же как сборочный конвейер Генри Форда привел к значительному уменьшению затрат на производство и времени вывода на рынок в автомобильной промышленности, мы надеемся, что Gen 4 сделает то же самое для дата-центров. Все будет предварительно изготавливаться и собираться на месте.
Невероятно энергоэффективный ЦОД
And did we mention that this platform will be, overall, incredibly energy efficient? From a total energy perspective not only will we have remarkable PUE values, but the total cost of energy going into the facility will be greatly reduced as well. How much energy goes into making concrete? Will we need as much of it? How much energy goes into the fuel of the construction vehicles? This will also be greatly reduced! A key driver is our goal to achieve an average PUE at or below 1.125 by 2012 across our data centers. More than that, we are on a mission to reduce the overall amount of copper and water used in these facilities. We believe these will be the next areas of industry attention when and if the energy problem is solved. So we are asking today…“how can we build a data center with less building”?А мы упоминали, что эта платформа будет, в общем, невероятно энергоэффективной? С точки зрения общей энергии, мы получим не только поразительные значения PUE, но общая стоимость энергии, затраченной на объект будет также значительно снижена. Сколько энергии идет на производство бетона? Нам нужно будет столько энергии? Сколько энергии идет на питание инженерных строительных машин? Это тоже будет значительно снижено! Главным стимулом является достижение среднего PUE не больше 1.125 для всех наших дата-центров к 2012 году. Более того, у нас есть задача сокращения общего количества меди и воды в дата-центрах. Мы думаем, что эти задачи станут следующей заботой отрасли после того как будет решена энергетическая проблема. Итак, сегодня мы спрашиваем себя…“как можно построить дата-центр с меньшим объемом строительных работ”?
Строительство дата центров без чиллеровWe have talked openly and publicly about building chiller-less data centers and running our facilities using aggressive outside economization. Our sincerest hope is that Gen 4 will completely eliminate the use of water. Today’s data centers use massive amounts of water and we see water as the next scarce resource and have decided to take a proactive stance on making water conservation part of our plan.
Мы открыто и публично говорили о строительстве дата-центров без чиллеров и активном использовании в наших центрах обработки данных технологий свободного охлаждения или фрикулинга. Мы искренне надеемся, что Gen 4 позволит полностью отказаться от использования воды. Современные дата-центры расходуют большие объемы воды и так как мы считаем воду следующим редким ресурсом, мы решили принять упреждающие меры и включить экономию воды в свой план.
By sharing this with the industry, we believe everyone can benefit from our methodology. While this concept and approach may be intimidating (or downright frightening) to some in the industry, disclosure ultimately is better for all of us.
Делясь этим опытом с отраслью, мы считаем, что каждый сможет извлечь выгоду из нашей методологией. Хотя эта концепция и подход могут показаться пугающими (или откровенно страшными) для некоторых отраслевых специалистов, раскрывая свои планы мы, в конечном счете, делаем лучше для всех нас.
Gen 4 design (even more than just containers), could reduce the ‘religious’ debates in our industry. With the central spine infrastructure in place, containers or pre-manufactured server halls can be either AC or DC, air-side economized or water-side economized, or not economized at all (though the sanity of that might be questioned). Gen 4 will allow us to decommission, repair and upgrade quickly because everything is modular. No longer will we be governed by the initial decisions made when constructing the facility. We will have almost unlimited use and re-use of the facility and site. We will also be able to use power in an ultra-fluid fashion moving load from critical to non-critical as use and capacity requirements dictate.
Проект Gen 4 позволит уменьшить ‘религиозные’ споры в нашей отрасли. Располагая базовой инфраструктурой, контейнеры или сборные серверные могут оборудоваться системами переменного или постоянного тока, воздушными или водяными экономайзерами, или вообще не использовать экономайзеры. Хотя можно подвергать сомнению разумность такого решения. Gen 4 позволит нам быстро выполнять работы по выводу из эксплуатации, ремонту и модернизации, поскольку все будет модульным. Мы больше не будем руководствоваться начальными решениями, принятыми во время строительства дата-центра. Мы сможем использовать этот дата-центр и инфраструктуру в течение почти неограниченного периода времени. Мы также сможем применять сверхгибкие методы использования электрической энергии, переводя оборудование в режимы критической или некритической нагрузки в соответствии с требуемой мощностью.
Gen 4 – это стандартная платформаFinally, we believe this is a big game changer. Gen 4 will provide a standard platform that our industry can innovate around. For example, all modules in our Gen 4 will have common interfaces clearly defined by our specs and any vendor that meets these specifications will be able to plug into our infrastructure. Whether you are a computer vendor, UPS vendor, generator vendor, etc., you will be able to plug and play into our infrastructure. This means we can also source anyone, anywhere on the globe to minimize costs and maximize performance. We want to help motivate the industry to further innovate—with innovations from which everyone can reap the benefits.
Наконец, мы уверены, что это будет фактором, который значительно изменит ситуацию. Gen 4 будет представлять собой стандартную платформу, которую отрасль сможет обновлять. Например, все модули в нашем Gen 4 будут иметь общепринятые интерфейсы, четко определяемые нашими спецификациями, и оборудование любого поставщика, которое отвечает этим спецификациям можно будет включать в нашу инфраструктуру. Независимо от того производите вы компьютеры, ИБП, генераторы и т.п., вы сможете включать свое оборудование нашу инфраструктуру. Это означает, что мы также сможем обеспечивать всех, в любом месте земного шара, тем самым сводя до минимума затраты и максимальной увеличивая производительность. Мы хотим создать в отрасли мотивацию для дальнейших инноваций – инноваций, от которых каждый сможет получать выгоду.
Главные характеристики дата-центров четвертого поколения Gen4To summarize, the key characteristics of our Generation 4 data centers are:
Scalable
Plug-and-play spine infrastructure
Factory pre-assembled: Pre-Assembled Containers (PACs) & Pre-Manufactured Buildings (PMBs)
Rapid deployment
De-mountable
Reduce TTM
Reduced construction
Sustainable measuresНиже приведены главные характеристики дата-центров четвертого поколения Gen 4:
Расширяемость;
Готовая к использованию базовая инфраструктура;
Изготовление в заводских условиях: сборные контейнеры (PAC) и сборные здания (PMB);
Быстрота развертывания;
Возможность демонтажа;
Снижение времени вывода на рынок (TTM);
Сокращение сроков строительства;
Экологичность;Map applications to DC Class
We hope you join us on this incredible journey of change and innovation!
Long hours of research and engineering time are invested into this process. There are still some long days and nights ahead, but the vision is clear. Rest assured however, that we as refine Generation 4, the team will soon be looking to Generation 5 (even if it is a bit farther out). There is always room to get better.
Использование систем электропитания постоянного тока.
Мы надеемся, что вы присоединитесь к нам в этом невероятном путешествии по миру изменений и инноваций!
На этот проект уже потрачены долгие часы исследований и проектирования. И еще предстоит потратить много дней и ночей, но мы имеем четкое представление о конечной цели. Однако будьте уверены, что как только мы доведем до конца проект модульного дата-центра четвертого поколения, мы вскоре начнем думать о проекте дата-центра пятого поколения. Всегда есть возможность для улучшений.So if you happen to come across Goldilocks in the forest, and you are curious as to why she is smiling you will know that she feels very good about getting very close to ‘JUST RIGHT’.
Generations of Evolution – some background on our data center designsТак что, если вы встретите в лесу девочку по имени Лютик, и вам станет любопытно, почему она улыбается, вы будете знать, что она очень довольна тем, что очень близко подошла к ‘ОПИМАЛЬНОМУ РЕШЕНИЮ’.
Поколения эволюции – история развития наших дата-центровWe thought you might be interested in understanding what happened in the first three generations of our data center designs. When Ray Ozzie wrote his Software plus Services memo it posed a very interesting challenge to us. The winds of change were at ‘tornado’ proportions. That “plus Services” tag had some significant (and unstated) challenges inherent to it. The first was that Microsoft was going to evolve even further into an operations company. While we had been running large scale Internet services since 1995, this development lead us to an entirely new level. Additionally, these “services” would span across both Internet and Enterprise businesses. To those of you who have to operate “stuff”, you know that these are two very different worlds in operational models and challenges. It also meant that, to achieve the same level of reliability and performance required our infrastructure was going to have to scale globally and in a significant way.
Мы подумали, что может быть вам будет интересно узнать историю первых трех поколений наших центров обработки данных. Когда Рэй Оззи написал свою памятную записку Software plus Services, он поставил перед нами очень интересную задачу. Ветра перемен двигались с ураганной скоростью. Это окончание “plus Services” скрывало в себе какие-то значительные и неопределенные задачи. Первая заключалась в том, что Майкрософт собиралась в еще большей степени стать операционной компанией. Несмотря на то, что мы управляли большими интернет-сервисами, начиная с 1995 г., эта разработка подняла нас на абсолютно новый уровень. Кроме того, эти “сервисы” охватывали интернет-компании и корпорации. Тем, кому приходится всем этим управлять, известно, что есть два очень разных мира в области операционных моделей и задач. Это также означало, что для достижения такого же уровня надежности и производительности требовалось, чтобы наша инфраструктура располагала значительными возможностями расширения в глобальных масштабах.
It was that intense atmosphere of change that we first started re-evaluating data center technology and processes in general and our ideas began to reach farther than what was accepted by the industry at large. This was the era of Generation 1. As we look at where most of the world’s data centers are today (and where our facilities were), it represented all the known learning and design requirements that had been in place since IBM built the first purpose-built computer room. These facilities focused more around uptime, reliability and redundancy. Big infrastructure was held accountable to solve all potential environmental shortfalls. This is where the majority of infrastructure in the industry still is today.
Именно в этой атмосфере серьезных изменений мы впервые начали переоценку ЦОД-технологий и технологий вообще, и наши идеи начали выходить за пределы общепринятых в отрасли представлений. Это была эпоха ЦОД первого поколения. Когда мы узнали, где сегодня располагается большинство мировых дата-центров и где находятся наши предприятия, это представляло весь опыт и навыки проектирования, накопленные со времени, когда IBM построила первую серверную. В этих ЦОД больше внимания уделялось бесперебойной работе, надежности и резервированию. Большая инфраструктура была призвана решать все потенциальные экологические проблемы. Сегодня большая часть инфраструктуры все еще находится на этом этапе своего развития.
We soon realized that traditional data centers were quickly becoming outdated. They were not keeping up with the demands of what was happening technologically and environmentally. That’s when we kicked off our Generation 2 design. Gen 2 facilities started taking into account sustainability, energy efficiency, and really looking at the total cost of energy and operations.
Очень быстро мы поняли, что стандартные дата-центры очень быстро становятся устаревшими. Они не поспевали за темпами изменений технологических и экологических требований. Именно тогда мы стали разрабатывать ЦОД второго поколения. В этих дата-центрах Gen 2 стали принимать во внимание такие факторы как устойчивое развитие, энергетическая эффективность, а также общие энергетические и эксплуатационные.
No longer did we view data centers just for the upfront capital costs, but we took a hard look at the facility over the course of its life. Our Quincy, Washington and San Antonio, Texas facilities are examples of our Gen 2 data centers where we explored and implemented new ways to lessen the impact on the environment. These facilities are considered two leading industry examples, based on their energy efficiency and ability to run and operate at new levels of scale and performance by leveraging clean hydro power (Quincy) and recycled waste water (San Antonio) to cool the facility during peak cooling months.
Мы больше не рассматривали дата-центры только с точки зрения начальных капитальных затрат, а внимательно следили за работой ЦОД на протяжении его срока службы. Наши объекты в Куинси, Вашингтоне, и Сан-Антонио, Техас, являются образцами наших ЦОД второго поколения, в которых мы изучали и применяли на практике новые способы снижения воздействия на окружающую среду. Эти объекты считаются двумя ведущими отраслевыми примерами, исходя из их энергетической эффективности и способности работать на новых уровнях производительности, основанных на использовании чистой энергии воды (Куинси) и рециклирования отработанной воды (Сан-Антонио) для охлаждения объекта в самых жарких месяцах.
As we were delivering our Gen 2 facilities into steel and concrete, our Generation 3 facilities were rapidly driving the evolution of the program. The key concepts for our Gen 3 design are increased modularity and greater concentration around energy efficiency and scale. The Gen 3 facility will be best represented by the Chicago, Illinois facility currently under construction. This facility will seem very foreign compared to the traditional data center concepts most of the industry is comfortable with. In fact, if you ever sit around in our container hanger in Chicago it will look incredibly different from a traditional raised-floor data center. We anticipate this modularization will drive huge efficiencies in terms of cost and operations for our business. We will also introduce significant changes in the environmental systems used to run our facilities. These concepts and processes (where applicable) will help us gain even greater efficiencies in our existing footprint, allowing us to further maximize infrastructure investments.
Так как наши ЦОД второго поколения строились из стали и бетона, наши центры обработки данных третьего поколения начали их быстро вытеснять. Главными концептуальными особенностями ЦОД третьего поколения Gen 3 являются повышенная модульность и большее внимание к энергетической эффективности и масштабированию. Дата-центры третьего поколения лучше всего представлены объектом, который в настоящее время строится в Чикаго, Иллинойс. Этот ЦОД будет выглядеть очень необычно, по сравнению с общепринятыми в отрасли представлениями о дата-центре. Действительно, если вам когда-либо удастся побывать в нашем контейнерном ангаре в Чикаго, он покажется вам совершенно непохожим на обычный дата-центр с фальшполом. Мы предполагаем, что этот модульный подход будет способствовать значительному повышению эффективности нашего бизнеса в отношении затрат и операций. Мы также внесем существенные изменения в климатические системы, используемые в наших ЦОД. Эти концепции и технологии, если применимо, позволят нам добиться еще большей эффективности наших существующих дата-центров, и тем самым еще больше увеличивать капиталовложения в инфраструктуру.
This is definitely a journey, not a destination industry. In fact, our Generation 4 design has been under heavy engineering for viability and cost for over a year. While the demand of our commercial growth required us to make investments as we grew, we treated each step in the learning as a process for further innovation in data centers. The design for our future Gen 4 facilities enabled us to make visionary advances that addressed the challenges of building, running, and operating facilities all in one concerted effort.
Это определенно путешествие, а не конечный пункт назначения. На самом деле, наш проект ЦОД четвертого поколения подвергался серьезным испытаниям на жизнеспособность и затраты на протяжении целого года. Хотя необходимость в коммерческом росте требовала от нас постоянных капиталовложений, мы рассматривали каждый этап своего развития как шаг к будущим инновациям в области дата-центров. Проект наших будущих ЦОД четвертого поколения Gen 4 позволил нам делать фантастические предположения, которые касались задач строительства, управления и эксплуатации объектов как единого упорядоченного процесса.
Тематики
Синонимы
EN
Англо-русский словарь нормативно-технической терминологии > modular data center
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8 test
1. испытание, проверка; опыт; проба; исследование, анализ || испытывать, проверять; исследовать; производить анализ2. опробование ( скважины) || опробоватьrule of thumb test — грубый [приближенный] метод оценки
— ball indentation test— Charpy impact test— DAP test— dry test— hydraulic pressure test— Izod impact test— shearing test— torsional test— wearing test
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1. испытание, испытания; проверка; контроль2. исследование; анализ3. критерийdrill stem formation test — исследование пласта пластоиспытателем, спускаемым на бурильных трубах
— use test
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исследование; испытание; опыт; проверка
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опыт; испытание, проверка; проверять
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1) испытание, испытания; проба; проверка; контроль2) исследование; анализ4) опробование ( скважины) || опробовать6) критерий•test for color stability — испытания ( бензина) на стабильность цвета;
test for defect — проверка на наличие дефектов;
test for soundness — испытания ( цемента) на равномерность изменения объёма;
test for suitability — испытания на пригодность (); испытания на соответствие заданным требованиям;
to test a core for shows of oil — исследовать керн на признаки нефти;
to test a well — измерять дебит скважины;
to apply boring test — применять бурение при поисковых работах;
test to destruction — испытания до разрушения ( образца), разрушающие испытания;
test to failure — испытания до отказа;
to put to test — подвергать испытаниям;
test with recovery — испытания с восстановлением;
- abrasion testtest without destruction — испытания без разрушения ( образца), неразрушающие испытания;
- accelerated test
- accelerated aging test of gasoline
- acceleration inertia load test
- acceptance test
- acid heat test
- activity test
- adhesion test
- air pressure test
- alkali test
- angularity test
- aniline test
- appraisal test
- assessment test
- ASTM test
- audit test
- availability acceptance test
- azimuth test
- back-pressure test
- back-pressure formation test
- bailing test
- bearing test
- bedrock test
- blowdown test
- bottle test
- breakdown test
- burn-in reliability test
- carbon test
- carbon color test
- casing-packer formation test
- centrifuge test
- certification test
- charcoal test
- charcoal weight test
- checkout test
- cloud test of petroleum oil
- coke test
- coking test
- cold test
- combined environment reliability test
- complete destructive test
- complete functional test
- cone penetrometer test
- confirmation test
- confirmatory test
- consumption test
- contact test
- contamination test
- control test
- controlled test
- copper dish gum evaporation test
- copper dish residue test
- copper strip test
- corrosion test
- corrosive wear test
- cracking test
- crankcase oil dilution test
- crankcase oil foaming test
- crosstalk test
- current production rate test
- damaging test
- deep test
- deep pool test
- definitive test
- demulsibility test
- demulsification test
- development test
- diammonium phosphate test
- diesel-fuel distillation test
- diesel-fuel gravity test
- dilution test of fuel
- dip test
- direct oxidation test
- distillation test
- doctor test
- double casing-packer formation test
- double wall-packer formation test
- drawdown test
- drift test
- drilling mud density test
- drilling mud fluidity test
- drill-off test
- drill-stem formation test
- dry test
- eddy-current test
- emulsification test
- endurance test
- engineering design test
- engineering evaluation test
- equipment operation test
- evaporation test of gasoline
- evaporation gum test
- exploratory test
- extension test
- fail-safe test
- failure test
- failure-producing test
- failure-rate test
- failure-terminated test
- failure-truncated test
- failure-under-load test
- falling weight test
- fatigue test
- field test
- field compression test
- field maintenance test
- filter test
- filtration test
- final malfunction test
- fire test
- firing time test
- flammability test
- float test
- floc test
- flood pot test
- flow test
- flowing bottom hole pressure test
- fluid test
- foam test
- forced failure test
- formation test
- formation productivity test
- friability test
- fuel dilution test
- full-scale test
- full-scale fatigue test
- gas test
- gas flow test
- gas impermeability test
- gasoline precipitation test
- gasoline sulfur test
- gasoline tetraethil lead test
- gasoline volatility test
- gel strength test
- glass dish evaporation test
- glass dish gum test
- Green test
- guarantee test
- gum test
- gumming test
- hammer test
- hand test
- heavy-duty test
- hot test
- hot filtration test
- hydraulic-pressure test
- hydro test
- hydrogen-in-petroleum test
- hydrostatic test
- immersion test
- in-place test
- in-use life test
- inflammability test
- initial well potential test
- injectivity test
- injectivity-index test
- interference test
- intermodulation test
- kauri-butanol solvency test
- knock test
- laboratory test on crude
- laboratory test on oil
- lacquer test
- lamp burning test
- lamp sulfur test
- lead acetate test
- leak test
- leakage test
- leakage test of weld seams
- length-of-life test
- life test
- life-certification test
- line test
- logging-cable formation test
- longevity test
- lubricating oil emulsion test
- lubricating oil metal test
- magnetic polarity test
- maintainability test
- maintenance test
- marine explosure test
- mercurization test
- mercury freezing test
- mixing water test
- motor method test
- multirate flow test
- neutralization test
- nitrating test
- nonfoaming test
- nonreplacement test
- oil cold test
- oil corrosion test
- oil emulsion test
- oil well potential test
- Oliensis spot test
- on-site test
- open-flow test
- open-hole formation test
- operability test
- operating life test
- operational test
- operational readiness test
- operational readiness and reliability test
- operational readiness inspection test
- operational suitability test
- oven test
- overflow test
- overspeed test
- overstress reliability test
- oxidation test
- oxygen absorption test
- pass-fail test
- penetration test
- performance test
- periodic potential test
- periodic well potential test
- permeability test
- pipeline immersion test
- plam test
- porcelain dish test
- postcompletional flow test
- potential test
- predemonstration test
- preliminary qualification test
- preoverhaul test
- prepilot mining test
- prequalification test
- pressure test
- pressure building test
- pressure drawdown test
- pressure transient test
- producing test
- production test
- production reliability test
- productivity test
- product-proof test
- proof test
- pulling test
- pulse test
- qualification test
- quality verification test
- reaction test
- reflection test
- refraction test
- reliability test
- reliability assurance test
- reliability audit test
- reliability demonstration test
- reliability field test
- reliability growth test
- reliability production test
- reliability verification test
- repair test
- repeated bending stress test
- repeated compression test
- repeated direct stress test
- repeated dynamic stress test
- repeated impact tension test
- repeated stress test
- repeated tensile stress test
- repeated tension test
- repeated torsion test
- replacement test
- reservoir limit test
- reversion test of kerosene
- rheometric test
- ring test
- road knock test
- rock specimen test
- running test
- sampling reliability test
- seawater corrosion test
- sediment-and-water test
- sedimentometric test
- seismic test
- selective flow test of well
- sequential reliability test
- service test
- serviceability test
- service-life evaluation test
- setting-time test
- settlement test
- severe-duty test
- shallover pay test
- short-time well test
- shut-in pressure test
- sieving test
- silica test
- silicotungstic acid test
- sludge test
- sludging test
- smell test
- smoke test
- soap hardness test
- soundness-and-fineness test
- spot test
- spot quality test
- stability test
- standard test
- standard acid test
- standard distillation test
- steady-state test of well
- steam soak test
- step-rate test
- straddle test
- straddle packer drill stem test
- straight-hole test
- strata test
- submersion test
- suitability test
- sulfated residue test
- sulfur test
- sulfuric acid heat test
- system operation test
- tap test
- tensile test
- tensile-and-compression test
- tensile-fatigue test
- tensile-impact test
- tensile-shock test
- tension test
- thickening-time test
- through-casing formation test
- time-terminated reliability test
- torque test
- torsion test
- torsion impact test
- toughness test
- trial test
- tribotechnical test
- Tutwiler test
- twisting test
- type test
- undestructive test
- upsetting test
- up-the-hole test
- use test
- vane test
- varnish test
- verification life test
- viscosity test
- volatilization test
- wall building test
- wall-packer formation test
- warranty test
- water test
- water-and-oil content test
- waterflood core test
- water-loss test
- wear test
- weld test
- weldability test
- welding test
- well test
- well potential test
- winterization test
- wireline formation test
- withdrawal test* * * -
9 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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10 Froude, William
SUBJECT AREA: Ports and shipping[br]b. 1810 Dartington, Devon, Englandd. 4 May 1879 Simonstown, South Africa[br]English naval architect; pioneer of experimental ship-model research.[br]Froude was educated at a preparatory school at Buckfastleigh, and then at Westminster School, London, before entering Oriel College, Oxford, to read mathematics and classics. Between 1836 and 1838 he served as a pupil civil engineer, and then he joined the staff of Isambard Kingdom Brunel on various railway engineering projects in southern England, including the South Devon Atmospheric Railway. He retired from professional work in 1846 and lived with his invalid father at Dartington Parsonage. The next twenty years, while apparently unproductive, were important to Froude as he concentrated his mind on difficult mathematical and scientific problems. Froude married in 1839 and had five children, one of whom, Robert Edmund Froude (1846–1924), was to succeed him in later years in his research work for the Admiralty. Following the death of his father, Froude moved to Paignton, and there commenced his studies on the resistance of solid bodies moving through fluids. Initially these were with hulls towed through a house roof storage tank by wires taken over a pulley and attached to falling weights, but the work became more sophisticated and was conducted on ponds and the open water of a creek near Dartmouth. Froude published work on the rolling of ships in the second volume of the Transactions of the then new Institution of Naval Architects and through this became acquainted with Sir Edward Reed. This led in 1870 to the Admiralty's offer of £2,000 towards the cost of an experimental tank for ship models at Torquay. The tank was completed in 1872 and tests were carried out on the model of HMS Greyhound following full-scale towing trials which had commenced on the actual ship the previous year. From this Froude enunciated his Law of Comparisons, which defines the rules concerning the relationship of the power required to move geometrically similar floating bodies across fluids. It enabled naval architects to predict, from a study of a much less expensive and smaller model, the resistance to motion and the power required to move a full-size ship. The work in the tank led Froude to design a model-cutting machine, dynamometers and machinery for the accurate ruling of graph paper. Froude's work, and later that of his son, was prodigious and covered many fields of ship design, including powering, propulsion, rolling, steering and stability. In only six years he had stamped his academic authority on the new science of hydrodynamics, served on many national committees and corresponded with fellow researchers throughout the world. His health suffered and he sailed for South Africa to recuperate, but he contracted dysentery and died at Simonstown. He will be remembered for all time as one of the greatest "fathers" of naval architecture.[br]Principal Honours and DistinctionsFRS. Honorary LLD Glasgow University.Bibliography1955, The Papers of William Froude, London: Institution of Naval Architects (the Institution also published a memoir by Sir Westcott Abell and an evaluation of his work by Dr R.W.L. Gawn of the Royal Corps of Naval Constructors; this volume reprints all Froude's papers from the Institution of Naval Architects and other sources as diverse as the British Association, the Royal Society of Edinburgh and the Institution of Civil Engineers.Further ReadingA.T.Crichton, 1990, "William and Robert Edmund Froude and the evolution of the ship model experimental tank", Transactions of the Newcomen Society 61:33–49.FMW -
11 survey
1) съёмка ( топографическая); ( геофизические) исследования2) служба (геологическая, топографическая и т.п.)3) результаты ( геофизических) исследований4) производить исследование; межевать•- aircraft survey - broadside survey - detail survey - detailed survey - directional survey - electromagnetic survey - engineering survey - field survey - geological survey - gravitational survey - grid survey - groundwater survey - horizontal survey - large-scale survey - model survey - pilot survey - plane survey - preliminary survey - quantity survey - regional survey - sanitary survey - shallow-water survey - street survey - test survey - underground survey* * *съёмка ( топографическая)- acid dip survey
- aerial visual survey
- aeromagnetic survey
- azimuthal survey
- bathymetric survey
- boundary survey
- caliper survey
- compass survey
- condition survey
- construction survey
- control survey
- electrical survey
- electronic survey
- engineering survey
- geologic survey
- geophysical survey
- gravity survey
- horizontal survey
- hydrographic survey
- infrared survey
- initial survey
- location survey
- magnetic survey
- photogrammetric survey
- plane-table survey
- population survey
- preliminary survey
- quantity survey
- reconnaissance survey
- reflection survey
- refraction survey
- resistivity survey
- rock mechanics survey
- route survey
- seismic survey
- social survey
- soil survey
- structural survey
- theodolite survey
- topographic survey
- traverse survey
- tunnel survey
- underground survey -
12 Paxton, Sir Joseph
[br]b. 3 August 1801 Milton Bryant, Bedfordshire, Englandd. 8 June 1865 Sydenham, London, England[br]English designer of the Crystal Palace, the first large-scale prefabricated ferrovitreous structure.[br]The son of a farmer, he had worked in gardens since boyhood and at the age of 21 was employed as Undergardener at the Horticultural Society Gardens in Chiswick, from where he went on to become Head Gardener for the Duke of Devonshire at Chatsworth. It was there that he developed his methods of glasshouse construction, culminating in the Great Conservatory of 1836–40, an immense structure some 277 ft (84.4 m) long, 123 ft (37.5 m) wide and 67 ft (20.4 m) high. Its framework was of iron and its roof of glass, with wood to contain the glass panels; it is now demolished. Paxton went on to landscape garden design, fountain and waterway engineering, the laying out of the model village of Edensor, and to play a part in railway and country house projects.The structure that made Paxton a household name was erected in Hyde Park, London, to house the Great Exhibition of 1851 and was aptly dubbed, by Punch, the Crystal Palace. The idea of holding an international exhibition for industry had been mooted in 1849 and was backed by Prince Albert and Henry Cole. The money for this was to be raised by public subscription and 245 designs were entered into a competition held in 1850; however, most of the concepts, received from many notable architects and engineers, were very costly and unsuitable, and none were accepted. That same year, Paxton published his scheme in the Illustrated London News and it was approved after it received over-whelming public support.Paxton's Crystal Palace, designed and erected in association with the engineers Fox and Henderson, was a prefabricated glasshouse of vast dimensions: it was 1,848 ft (563.3 m) long, 408 ft (124.4 m) wide and over 100 ft (30.5 m) high. It contained 3,300 iron columns, 2,150 girders. 24 miles (39 km) of guttering, 600,000 ft3 (17,000 m3) of timber and 900,000 ft2 (84,000 m) of sheet glass made by Chance Bros, of Birmingham. One of the chief reasons why it was accepted by the Royal Commission Committee was that it fulfilled the competition proviso that it should be capable of being erected quickly and subsequently dismantled and re-erected elsewhere. The Crystal Palace was to be erected at a cost of £79,800, much less than the other designs. Building began on 30 July 1850, with a labour force of some 2,000, and was completed on 31 March 1851. It was a landmark in construction at the time, for its size, speed of construction and its non-eclectic design, and, most of all, as the first great prefabricated building: parts were standardized and made in quantity, and were assembled on site. The exhibition was opened by Queen Victoria on 1 May 1851 and had received six million visitors when it closed on 11 October. The building was dismantled in 1852 and reassembled, with variations in design, at Sydenham in south London, where it remained until its spectacular conflagration in 1936.[br]Principal Honours and DistinctionsKnighted 1851. MP for Coventry 1854–65. Fellow Linnaean Society 1853; Horticultural Society 1826. Order of St Vladimir, Russia, 1844.Further ReadingP.Beaver, 1986, The Crystal Palace: A Portrait of Victorian Enterprise, Phillimore. George F.Chadwick, 1961, Works of Sir Joseph Paxton 1803–1865, Architectural Press.DY -
13 control
1) управление; регулирование; регулировка || управлять; регулировать; задавать2) контроль; проверка || контролировать; проверять3) орган управления; орган регулировки, регулятор; орган настройки4) устройство управления; блок управления6) рукоятка или рычаг управления7) профилактические мероприятия, надзор•"operation is under control" — всё предусмотрено для нормальной работы;to gain control — вчт. получать управление:to go out of control — становиться неуправляемым;to operate ( to handle) the flight controls — оперировать органами управления полётом;to pass control — вчт. передавать управление;to return control — вчт. возвращать управление;to take over control — брать управление на себя;to transfer control — вчт. передавать управление-
cascaded control-
cathode control-
CO/O2 combustion control-
communications control-
computer control-
contactor-type control-
continuous-path control-
course gage control-
current-mode control-
dispatcher control-
focusing control-
holding control-
horizontal-frequency control-
hue range control-
long-distance control-
managerial control-
microprogramming control-
numerical program control-
on-off action control-
position-based control-
slide control-
step-by-step control-
time-pattern control -
14 investigation
1) исследование; анализ2) мн. ч. изыскания•-
borehole investigations
- electron diffraction investigation -
electron-microscope investigation
-
endoatmospheric investigation
-
engineering investigations
-
exoatmospheric investigation
-
extraterrestrial investigation
-
field investigations
-
fine-structural investigation
-
finite element investigation
-
full-scale investigation
-
geophysical investigation
-
hydraulic model investigation
-
microscopial investigation
-
neutron diffraction investigation
-
nonterrestrial investigation
-
photoelastic investigation
-
qualitative investigation
-
quantitative investigation
-
regional investigations
-
research investigation
-
scanning electron microscope investigation
-
scientific investigation
-
seismic investigations
-
site investigations
-
soil investigations
-
space geodesy investigation
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space geological investigation
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space meteorology investigation
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space oceanology investigation
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structure investigation
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tracer investigation
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X-ray investigation -
15 M
1) Общая лексика: ремонтопригодность (maintainability), тысяча (в системе римских цифр)2) Биология: heat, height, membrane, methionine, miscellaneous, mucoid, muscular3) Разговорное выражение: (-size) эмка (размер одежды)4) Американизм: Mediocre5) Военный термин: Mach, Mandatory, Maneuver, Maxim, Mechanized, Mission, magazine, maintainability, maintenance, map, mark, marker, marshal, mask, material, materiel, measure, mechanic, mechanism, memorandum, memory, message, messenger, meteorology, microfilm, microphone, mil, military, militia, mine, minesweeper, missing, mobile, mobilization, model, module, mortar, motor, mounted, movement, munition, mustard, военный воздушный транспорт, воинские воздушные перевозки, движущаяся цель, самолёт-ракетоносец, средняя квадратическая погрешность, Mega (Million), mobility6) Техника: bending moment, intensity of magnetic polarization, magnetic moment, magnetic quantum number, make, marker beacon, maxwell, megabyte, mesa, mesomeric effect, metering, micro, moderate, modulation, modulation factor, modulator, molar concentration, molecular magnetic rotary power, molecular rotary power, moraine, mother, mother spacecraft, mountain, multiplexer, nautical mile, order of spectrum, slope of equilibrium curve8) Химия: Molecular10) Религия: Matthew12) Бухгалтерия: Making13) Биржевой термин: Mutual14) Грубое выражение: Motherfucker15) Кино: Mature16) Оптика: magnification17) Сокращение: Malaysia, March, Marquess, Marquis, May, Miniatures, Monday, Monsieur, Moslem, magnetic, medical, medicine, member, meridian, metropolitan, minimum acceptable reliability, moment, motorway, muscle, мужчина, понедельник, Time zone 172. 5 E-180 E (GMT -12), Mega (million), mega - (million), Mike (phonetic alphabet), mach (speed of sound), Messier catalog, midnight, monoclonal, Maturity (кредитование)18) Университет: Engineering19) Физика: Magic21) Электроника: Magnetron23) Вычислительная техника: Mega - (metric 10^6)24) Нефть: & FP maximum and final pressure, a M-N crossplot parameter, magnetization, magnitude, marginal allowable, metacenter, mobility ratio, molal, mudstone, slope of interval transit time vs density, thousand, техническое обслуживание (maintainability)25) Генетика: метионин26) Биохимия: молей на литр ( моль/л)27) Космонавтика: Mira29) Фирменный знак: Microsoft30) СМИ: Multimedia32) Бурение: член общества (member), меридиан (meridian), модуль (module)33) Глоссарий компании Сахалин Энерджи: US dollars million \<-\> млн. долл. США, magnitude (earthquake measured on Richter scale), mega (metric prefix meaning 1 x 1,000,000 [one million]), тысяч (в нефтегазовой отрасли), мониторинг (ПКК)34) Образование: Motivation35) Сетевые технологии: master36) Полимеры: mechanical, mega, modulus, mol, molality, molarity, molecular weight, monovalent37) Контроль качества: maintenance ratio, of E maintenance of equipment, Markov (ian)38) Расширение файла: Maple Common binary file, Matlab M-file Function and commands, Miranda programming language Script file, Macro module (Brief), Objective-C language source code file (gcc)39) Электрохимия: mole, г моль, грамм-молекула41) Электротехника: m42) США: Michigan43) Должность: Maiden, Man, Manservant, Mathematics, Music44) НАСА: Mars46) Международные перевозки: minimum (rate classification) -
16 m
1) Общая лексика: ремонтопригодность (maintainability), тысяча (в системе римских цифр)2) Биология: heat, height, membrane, methionine, miscellaneous, mucoid, muscular3) Разговорное выражение: (-size) эмка (размер одежды)4) Американизм: Mediocre5) Военный термин: Mach, Mandatory, Maneuver, Maxim, Mechanized, Mission, magazine, maintainability, maintenance, map, mark, marker, marshal, mask, material, materiel, measure, mechanic, mechanism, memorandum, memory, message, messenger, meteorology, microfilm, microphone, mil, military, militia, mine, minesweeper, missing, mobile, mobilization, model, module, mortar, motor, mounted, movement, munition, mustard, военный воздушный транспорт, воинские воздушные перевозки, движущаяся цель, самолёт-ракетоносец, средняя квадратическая погрешность, Mega (Million), mobility6) Техника: bending moment, intensity of magnetic polarization, magnetic moment, magnetic quantum number, make, marker beacon, maxwell, megabyte, mesa, mesomeric effect, metering, micro, moderate, modulation, modulation factor, modulator, molar concentration, molecular magnetic rotary power, molecular rotary power, moraine, mother, mother spacecraft, mountain, multiplexer, nautical mile, order of spectrum, slope of equilibrium curve8) Химия: Molecular10) Религия: Matthew12) Бухгалтерия: Making13) Биржевой термин: Mutual14) Грубое выражение: Motherfucker15) Кино: Mature16) Оптика: magnification17) Сокращение: Malaysia, March, Marquess, Marquis, May, Miniatures, Monday, Monsieur, Moslem, magnetic, medical, medicine, member, meridian, metropolitan, minimum acceptable reliability, moment, motorway, muscle, мужчина, понедельник, Time zone 172. 5 E-180 E (GMT -12), Mega (million), mega - (million), Mike (phonetic alphabet), mach (speed of sound), Messier catalog, midnight, monoclonal, Maturity (кредитование)18) Университет: Engineering19) Физика: Magic21) Электроника: Magnetron23) Вычислительная техника: Mega - (metric 10^6)24) Нефть: & FP maximum and final pressure, a M-N crossplot parameter, magnetization, magnitude, marginal allowable, metacenter, mobility ratio, molal, mudstone, slope of interval transit time vs density, thousand, техническое обслуживание (maintainability)25) Генетика: метионин26) Биохимия: молей на литр ( моль/л)27) Космонавтика: Mira29) Фирменный знак: Microsoft30) СМИ: Multimedia32) Бурение: член общества (member), меридиан (meridian), модуль (module)33) Глоссарий компании Сахалин Энерджи: US dollars million \<-\> млн. долл. США, magnitude (earthquake measured on Richter scale), mega (metric prefix meaning 1 x 1,000,000 [one million]), тысяч (в нефтегазовой отрасли), мониторинг (ПКК)34) Образование: Motivation35) Сетевые технологии: master36) Полимеры: mechanical, mega, modulus, mol, molality, molarity, molecular weight, monovalent37) Контроль качества: maintenance ratio, of E maintenance of equipment, Markov (ian)38) Расширение файла: Maple Common binary file, Matlab M-file Function and commands, Miranda programming language Script file, Macro module (Brief), Objective-C language source code file (gcc)39) Электрохимия: mole, г моль, грамм-молекула41) Электротехника: m42) США: Michigan43) Должность: Maiden, Man, Manservant, Mathematics, Music44) НАСА: Mars46) Международные перевозки: minimum (rate classification) -
17 solution
1) раствор2) растворение3) решениеб) результат решения; ответв) постановление; рекомендация; правила•- acid solution
- activator solution
- alkaline solution
- ambiguous solution
- analytical solution
- anodizing solution
- approximate solution
- aqueous solution
- asymptotic solution
- asymptotically stable solution
- battery solution
- Bayes solution
- buffer solution
- check solution
- computational solution
- cooperative solution
- deaerated solution
- degenerate solution
- developing solution
- diazo solution
- dye solution
- electrolytic solution
- engineering solution
- etching solution
- exact solution
- explicit solution
- fixative solution
- flowing solution
- fuzzy solution
- general solution
- global problem solution
- graphical solution
- harmonic solution
- hydrothermal solution
- implicit solution
- integer solution
- interstitial solution
- minimax solution
- mode solution
- model solution
- nondegenerate solution
- normal solution
- N-soliton solution
- numerical solution
- offspring solution
- open user recommended solutions
- parametrized solution
- parent solution
- partial solution
- particular solution
- periodic solution
- permissible solution
- perturbation solution
- perturbed solution
- recursive solution
- regular solution
- rigorous solution
- saturated solution
- scale-invariant solution
- self-consistent solution
- self-similar solution
- singular solution
- solid solution
- specific solution
- stable solution
- stripping solution
- substitutional solution
- supersaturated solution
- trial solution
- trial-and-error solution
- trivial solution
- unperturbed solution
- unstable solution
- variational solution
- washing solution -
18 solution
1) раствор2) растворение3) решениеб) результат решения; ответв) постановление; рекомендация; правила•- activator solution
- alkaline solution
- ambiguous solution
- analytical solution
- anodizing solution
- approximate solution
- aqueous solution
- asymptotic solution
- asymptotically stable solution
- battery solution
- Bayes solution
- buffer solution
- check solution
- computational solution
- cooperative solution
- deaerated solution
- degenerate solution
- developing solution
- diazo solution
- dye solution
- electrolytic solution
- engineering solution
- etching solution
- exact solution
- explicit solution
- fixative solution
- flowing solution
- fuzzy solution
- general solution
- global problem solution
- graphical solution
- harmonic solution
- hydrothermal solution
- implicit solution
- integer solution
- interstitial solution
- minimax solution
- mode solution
- model solution
- nondegenerate solution
- normal solution
- N-soliton solution
- numerical solution
- offspring solution
- open user recommended solutions
- parametrized solution
- parent solution
- partial solution
- particular solution
- periodic solution
- permissible solution
- perturbation solution
- perturbed solution
- recursive solution
- regular solution
- rigorous solution
- saturated solution
- scale-invariant solution
- self-consistent solution
- self-similar solution
- singular solution
- solid solution
- solution of equation
- specific solution
- stable solution
- stripping solution
- substitutional solution
- supersaturated solution
- trial solution
- trial-and-error solution
- trivial solution
- unperturbed solution
- unstable solution
- variational solution
- washing solutionThe New English-Russian Dictionary of Radio-electronics > solution
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19 assembly
1) сборка, монтаж2) сборочная единица; узел; сборная деталь3) агрегат; сборочная группа•- adapter-and-tool assembly
- antifriction roller assembly
- applicator assembly
- assembly of N-order
- assembly of parts in batch quantities
- automated assembly
- automatized assembly
- auxiliary storage and playback assembly
- ball screw-and-nut assembly
- ballnut assembly
- base jaw assembly
- base-and-top jaw assembly
- beam assembly
- bearing assembly
- bench assembly
- bolted assembly
- brake assembly
- cable assembly
- cam-actuated assembly
- cap screw assembly
- carrier assembly
- chip flushing assembly
- chuck assembly
- clamp assembly
- collet assembly
- collet-and-chuck assembly
- computer-aided automatic assembly
- connector assembly
- contact assembly
- control assembly
- coupling assembly
- crosshead movement assembly
- cushion assembly
- cutter assembly
- cutting head assembly
- cutting tool assembly
- cylinder block-and-piston assembly
- driving assembly
- dual template assembly
- encapsulated assembly
- error-corrective assembly
- fabricated assembly
- fastener assembly
- feed nut assembly
- feeding assembly
- final assembly
- fine focus assembly for laser
- fine focus assembly
- fixture assembly
- flexible assembly
- flow assembly
- flowline assembly
- fuel injection pump assembly
- gear assembly
- generic assembly
- governor assembly
- grinding wheel assembly
- guide assembly
- head assembly
- head-and-disk assembly
- hole saw assembly
- hook assembly
- hose assembly
- hydraulic pallet assembly
- hydraulic pump assembly
- improper assembly
- injected metal assembly
- integrated assembly
- interchangeable assembly
- intermediate assembly
- IR assembly
- jaw assembly
- keying assembly
- kit assembly
- large scale robot assembly
- laser assembly
- layered assembly
- lockup assembly
- LSI assembly
- main assembly
- mast assembly
- mechanical engineering assemblys
- modular assembly
- mold assembly
- motor assembly
- mounting assembly
- multicomponent assembly
- multistation machining assembly
- O.D. grinding assembly
- offending assembly
- oil seal assembly
- PCB assembly
- pickoff assembly
- piston-cylinder assembly
- plain bearing assembly
- plugboard assembly
- power steering assembly
- printed board assembly
- print-wire assembly
- profile slide assembly
- programmable assembly
- progressive assembly
- pushbutton assembly
- rectifier assembly
- relay-based assembly
- right-angle drive assembly
- right-angled drive assembly
- robotic assembly
- robotized assembly
- rotating basket assembly
- safety assembly
- saw head assembly
- sawing assembly
- selective assembly
- semiconductor assembly
- semifinished assembly
- series assembly
- setup bar assembly
- shake-free assembly
- slide assembly
- SMC assembly
- snap-in part assembly
- solid assembly
- spindle assembly
- spindle-head assembly
- stock spindle assembly
- stone assembly
- stop assembly
- stud assembly
- suction pickup assembly
- swing spindle assembly
- swing-arm assembly
- threaded assembly
- tool arm assembly
- tool assembly
- tool carriage and slide assembly
- tool changer assembly
- toolholder assembly
- top jaw assembly
- top-and-base jaw assembly
- torque-coupling assembly
- traction drive roll assembly
- transmission assembly
- triangular assembly
- trivet/turnbuckle assembly
- trolley pole assembly
- turnbuckle assembly
- turntable-based assembly
- twin-column assembly
- ultrasonic drilling assembly
- unified assembly
- unit assembly
- unitary assembly
- universal drive assembly
- variant engine assembly
- variant model assembly
- warning assembly
- weld assembly
- welded assembly
- wheel-dressing assembly
- wire feed assembly
- workholder assembly
- workpiece drive assembly
- workpiece/pallet assembly
- workpiece-retaining assembly
- wrist assemblyEnglish-Russian dictionary of mechanical engineering and automation > assembly
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20 test
1) испытание; испытания; проверка; контроль (см. тж testing) || испытывать; проверять; контролировать2) тест || тестировать3) стат. критерий•- actual value test
- ageing test
- alpha test
- basic test
- bench test
- benchmark test
- best unbiased test
- beta test
- bias test
- bit-stuck test
- boundary test
- busy test
- checkerboard test
- chi-square test
- class test
- compatibility test
- conditional test
- conditional-branching test
- content test
- count test
- crippled leapfrog test
- data measuring test
- delay test
- design acceptance test
- destructive test
- deterministic test
- diagnostic test
- dynamic test
- echo test
- engineering test
- environmental test
- evaluation test
- exchange test
- exhaustive test
- fault detection test
- formal test
- functional test
- function-independent test
- galloping 0's and 1's test
- galloping column test
- galwrec test
- high-low bias test
- impulse test
- in-house test
- in-process test
- inspection test
- integration test
- jerry-rigged test
- large-scale integration test
- leapfrog test
- leg test
- life test
- limit test
- link test
- logical relationship test
- longevity test
- long-term life test
- loop test
- loopback test
- LSI test
- march test
- marching ones and zeroes test
- marching ones and zeros test
- marginal test
- masest test
- maximum test
- model test
- multiple station test
- multithread test
- nondestructive test
- off-line test
- off-nominal tests
- one-shot tests
- one-sided test
- one-tailed test
- on-line test
- open test
- parameterized test
- path test
- pattern-sensitivity test
- penetration test
- perceptual test
- perimeter desturb test
- personality test
- ping-pong test
- preoperational test
- primary purpose test
- production acceptance test
- product-proof test
- program test
- qualification test
- read-margin test
- reasonableness test
- regression tests
- related transaction test
- reliability test
- remote test
- row disturb test
- sampling test
- screening test
- shifted diagonal test
- sign test
- significance test
- simulation test
- sliding-ONE test
- static test
- statistical test
- status test
- stress test
- suppression test
- system test
- temperature test
- test of grammaticality
- test of normality
- timing tests
- torture test
- total test
- trouble-shooting test
- truth-table test
- two-sample test
- two-tailed test
- volume test
- wafer test
- walking 1 test
- walking column testEnglish-Russian dictionary of computer science and programming > test
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