-
61 control
1) управление; регулирование, регулировка || управлять; регулировать2) орган управления; регулятор; орган настройки3) система управления; система регулирования4) pl. средства управления; средства регулирования5) контроль; проверка || контролировать; проверять6) система контроля; система проверки7) pl. средства контроля; средства проверки8) pl. методы контроля; рычаги управления9) вчт. контроллер10) pl.; вчт. методы управления данными и контроля данных в процессе обработки11) pl.; вчт. позиции управления экранного меню12) управляющий провод ( криотрона)•- acceptance controlcontrol during material — регулирование ( уровня громкости) во время передачи сигнала
- access control
- ActiveX control
- adaptive control
- aids-to-navigation radio control
- airport ground traffic control
- airport radar control
- air-traffic control
- amplitude balance control
- ANSI screen control
- antenna position control
- anticipatory control
- anticlutter gain control
- approach control
- armature voltage control
- artistic effect control
- astatic control
- attitude control
- audible control
- audio volume control
- audio-fidelity control
- automatic background control
- automatic bandwidth control
- automatic bias control
- automatic brightness control
- automatic chroma control
- automatic chrominance control
- automatic color control
- automatic contrast control
- automatic control
- automatic fine-tuning control
- automatic flight control
- automatic frequency control
- automatic gain control
- automatic knee control
- automatic level control
- automatic light control
- automatic load control
- automatic modulation control
- automatic overload control
- automatic peak search control
- automatic pedestal control
- automatic phase control
- automatic picture control
- automatic range control
- automatic recording level control
- automatic remote control
- automatic selectivity control
- automatic sensitivity control
- automatic tint control
- automatic voltage control
- automatic volume expansion control
- automatic volume level control
- automatic volume-control
- background control
- balance control
- bandspread tuning control
- bang-bang control
- bass control
- beam-rider control
- bilateral control
- black level control
- blue-gain control
- breath control
- brightness control
- brilliance control
- bumped phase control
- camera control
- carrier-current control
- Cartesian control
- cascade control
- centering control
- charge control
- chroma control
- chromaticity control
- chrominance-gain control
- closed-loop control
- coarse control
- color-saturation control
- command control
- compensated volume control
- computer control
- computer numerical control
- computer-aided quality control
- computerized numerical control
- concurrency control and recovery
- concurrency control
- continuity control
- continuous control
- continuous feedback control
- contouring control
- contrast control
- convergence control
- convergence phase control
- counter control
- crystal control
- cue control
- cursor control
- cybernetic control
- data acquisition control
- data recording control
- data-link control
- dc motor control
- delayed automatic volume control
- depth control
- derivative control
- differential gain control
- digital control
- digital remote control
- direct digital control
- direct manual control
- direct numerical control
- directional control
- distributed control
- distribution control
- domain-wall state control
- dramatic effect control
- drive control
- dual control
- dynamic astigmatism control
- dynamic contrast control
- echo duration control
- echo return control
- echo tone control
- electrical control
- electronic control
- electronic motor control
- embedded control
- end-point control
- end-to-end control
- environmental control
- error control
- external control
- fail-safe control
- fast automatic gain control
- feedback control
- feedback tone control
- feedforward control
- field linearity control
- field-effect conductivity control
- fine-tuning control
- finite control
- flight control
- flow control
- focus control
- focusing control
- follow-up control
- foot control
- forms control
- forward error control
- frame control
- framing control
- frequency control
- frequency monitoring and interference control
- frequency-response control
- front-panel control
- full-wave control
- fuzzy control
- gain control
- gain-sensitivity control
- gain-time control
- ganged volume control
- gate mobile communications control
- generator field control
- global control
- green-gain control
- grid control
- ground control
- guidance control
- half-wave control
- hardware error control
- height control
- hierarchical control
- hierarchically intelligent control
- higher-level intelligent control
- high-level data link control
- high-level data-link control
- hold control
- holding control
- homing control
- horizontal centering control
- horizontal convergence control
- horizontal drive control
- horizontal hold control
- horizontal parabola control
- horizontal-amplitude control
- horizontal-linearity control
- hue control
- illumination control
- independent control
- inertial control
- infinitely fast control
- infinity control
- in-process control
- instantaneous automatic gain control
- integral control
- intelligent control
- intensity control
- interface-shape control
- interference control
- intermediate control
- intermittent control
- internal control
- interrupt control
- inventory control
- ISDN data link control
- ISDN media access control
- keyboard control
- keyboard reset control
- learning control
- linear control
- linearity control
- local control
- logical control
- logical link control
- long-range control
- loop control
- loudness control
- lower-level intelligent control
- manual control
- manual gain control
- mass storage volume control
- master brightness control
- master control
- master gain control
- material gap control
- mechanical fader control
- medium access control
- message data link control
- microcomputer control
- microprocessor control
- microprogrammed control
- middle control
- MIDI control
- mission control
- mobile communications control
- mode control
- motor control
- motor-concatenation control
- motor-field control
- motor-voltage control
- multicoordinate control
- multivariable control
- musical instrument digital interface control
- narrow control
- neighboring optimal control
- neuromuscular control
- noise gain control
- nuclear level control
- numerical control
- off-line control
- on-line control
- on-off control
- open-loop control
- optimal control
- organizational control
- overtemperature control
- parametric control
- parity control
- partitioned adaptive control
- passively adaptive control
- pattern control
- peaking control
- peripheral control
- phase control
- phase-shift control
- photoelectric control
- photoelectric loop control
- photoelectric register control
- pin control
- plugged control
- point-to-point control
- portamento control
- positioning control
- power up/down control
- precision control
- presence control
- priority control
- process control
- program control
- programmable gain control
- project control
- proportional control
- proportional plus derivative control
- proportional plus integral plus derivative control
- PTP control
- purity control
- push-button control
- quality control
- quiet automatic volume control
- radar control
- radar traffic control
- radio control
- radio-frequency interference control
- random decision-directed adaptive control
- range control
- rate control
- ratio control
- ray-control
- real-time control
- recording control
- red-gain control
- reflexive control
- regeneration control
- regional playback control
- reject control
- relay control
- relay directional control
- reliability control
- remote control
- retarded control
- rewind control
- RFI control
- ringing control
- robot control
- roll-and-pitch control
- rounding control
- saturation control
- screen control
- security controls
- selectivity control
- self-acting control
- self-organizing control
- semiremote control
- sensitivity control
- sensitivity-time control
- sequence control
- sequential control
- servo control
- servo-loop control
- set-point control
- sidetone control
- single-dial control
- size control
- slide control
- software error control
- sound control
- sound volume control
- speech control
- speed control
- spin control
- squelch control
- static control
- statistical process control
- statistical quality control
- stored-program control
- supervisory control
- surge control
- swept gain control
- synchronous data link control
- system-wide control
- tapped control
- temperature control
- temporal gain control
- time polarity control
- time-schedule control
- time-varied gain control
- titration control
- tone control
- tone-compensated audio volume control
- total distributed control
- total quality control
- touch-sensitive control
- traffic control
- treble control
- trigger control
- tuning control
- undertemperature control
- unilateral control
- usage parameter control
- variable speech control
- vertical convergence control
- vertical-amplitude control
- vertical-centering control
- vertical-hold control
- vertical-linearity control
- video gain control
- visit mobile communications control
- voice control
- volume control
- white-level control
- wide control
- width controlThe New English-Russian Dictionary of Radio-electronics > control
-
62 LV
2) Компьютерная техника: Load Vector3) Авиация: light and variable4) Американизм: Likely Voters5) Военный термин: landing vehicle, landing vessel, launch vehicle, low velocity6) Техника: Long Vertical, Low Void, laser velocimeter, leaky valve, linear velocity7) Химия: Low Volatile, Low Volatility8) Математика: Long Vector9) Железнодорожный термин: Consolidated Rail Corporation10) Страхование: Light vessel11) Астрономия: Lunette Verte12) Металлургия: с низким содержанием летучих low volatile13) Музыка: Large Violin14) Сокращение: Civil aircraft marking (Argentina), Laser Vision, Latvia, Latvian, Lettish, Luftverteidigung (Air Defence (Germany)), licensed victualler15) Физиология: Left Ventricular, Low Vision16) Электроника: Latent variable17) Вычислительная техника: LaserVideo, LaserVision, low volume, Logical Volume (LVM), с пониженным уровнем18) Космонавтика: РН, ракета-носитель19) Транспорт: Large Vehicle20) Глоссарий компании Сахалин Энерджи: клапан-регулятор уровня (level control valve)21) Нефтепромысловый: клапан-регулятор уровня (жидкости) (LV = level (control) valve), уровневая задвижка22) Сетевые технологии: logical volume, логический том23) Полимеры: low-viscosity24) Программирование: Left Value25) Оружейное производство: лёгкий варминт26) Сахалин Р: level control valve27) Авиационная медицина: lateroversion28) Расширение файла: Logical Volume (IBM)29) Электротехника: низковольтный, низкого напряжения, низкое напряжение (low voltage)30) Космический летательный аппарат: средство выведения, средство выведения на орбиту31) Фантастика Lord Vader32) Чат: Little Voice33) Правительство: Las Vegas, Lehigh Valley34) НАСА: Latching Valve, Launch Version35) Хобби: Large Variety, Low Value36) Федеральное бюро расследований: Las Vegas Field Office -
63 Lv
2) Компьютерная техника: Load Vector3) Авиация: light and variable4) Американизм: Likely Voters5) Военный термин: landing vehicle, landing vessel, launch vehicle, low velocity6) Техника: Long Vertical, Low Void, laser velocimeter, leaky valve, linear velocity7) Химия: Low Volatile, Low Volatility8) Математика: Long Vector9) Железнодорожный термин: Consolidated Rail Corporation10) Страхование: Light vessel11) Астрономия: Lunette Verte12) Металлургия: с низким содержанием летучих low volatile13) Музыка: Large Violin14) Сокращение: Civil aircraft marking (Argentina), Laser Vision, Latvia, Latvian, Lettish, Luftverteidigung (Air Defence (Germany)), licensed victualler15) Физиология: Left Ventricular, Low Vision16) Электроника: Latent variable17) Вычислительная техника: LaserVideo, LaserVision, low volume, Logical Volume (LVM), с пониженным уровнем18) Космонавтика: РН, ракета-носитель19) Транспорт: Large Vehicle20) Глоссарий компании Сахалин Энерджи: клапан-регулятор уровня (level control valve)21) Нефтепромысловый: клапан-регулятор уровня (жидкости) (LV = level (control) valve), уровневая задвижка22) Сетевые технологии: logical volume, логический том23) Полимеры: low-viscosity24) Программирование: Left Value25) Оружейное производство: лёгкий варминт26) Сахалин Р: level control valve27) Авиационная медицина: lateroversion28) Расширение файла: Logical Volume (IBM)29) Электротехника: низковольтный, низкого напряжения, низкое напряжение (low voltage)30) Космический летательный аппарат: средство выведения, средство выведения на орбиту31) Фантастика Lord Vader32) Чат: Little Voice33) Правительство: Las Vegas, Lehigh Valley34) НАСА: Latching Valve, Launch Version35) Хобби: Large Variety, Low Value36) Федеральное бюро расследований: Las Vegas Field Office -
64 lv
2) Компьютерная техника: Load Vector3) Авиация: light and variable4) Американизм: Likely Voters5) Военный термин: landing vehicle, landing vessel, launch vehicle, low velocity6) Техника: Long Vertical, Low Void, laser velocimeter, leaky valve, linear velocity7) Химия: Low Volatile, Low Volatility8) Математика: Long Vector9) Железнодорожный термин: Consolidated Rail Corporation10) Страхование: Light vessel11) Астрономия: Lunette Verte12) Металлургия: с низким содержанием летучих low volatile13) Музыка: Large Violin14) Сокращение: Civil aircraft marking (Argentina), Laser Vision, Latvia, Latvian, Lettish, Luftverteidigung (Air Defence (Germany)), licensed victualler15) Физиология: Left Ventricular, Low Vision16) Электроника: Latent variable17) Вычислительная техника: LaserVideo, LaserVision, low volume, Logical Volume (LVM), с пониженным уровнем18) Космонавтика: РН, ракета-носитель19) Транспорт: Large Vehicle20) Глоссарий компании Сахалин Энерджи: клапан-регулятор уровня (level control valve)21) Нефтепромысловый: клапан-регулятор уровня (жидкости) (LV = level (control) valve), уровневая задвижка22) Сетевые технологии: logical volume, логический том23) Полимеры: low-viscosity24) Программирование: Left Value25) Оружейное производство: лёгкий варминт26) Сахалин Р: level control valve27) Авиационная медицина: lateroversion28) Расширение файла: Logical Volume (IBM)29) Электротехника: низковольтный, низкого напряжения, низкое напряжение (low voltage)30) Космический летательный аппарат: средство выведения, средство выведения на орбиту31) Фантастика Lord Vader32) Чат: Little Voice33) Правительство: Las Vegas, Lehigh Valley34) НАСА: Latching Valve, Launch Version35) Хобби: Large Variety, Low Value36) Федеральное бюро расследований: Las Vegas Field Office -
65 LLC
- установление логического соединения
- управление логической передачей данных
- управление логическим соединением
- управление логическим каналом
- управление логическим звеном (каналом)
- управление логическим звеном
- регулятор уровня жидкости
- процедура управления логическим каналом
- подуровень управления логическим звеном
- модель расширенного канала
- контроль логического соединения
контроль логического соединения
LLC
Подуровень контроля логического соединения (LLC) описывает верхние компоненты канального уровня ISO/OSI. Он касается тех аспектов протокола, которые не зависят от метода доступа к коммуникационной среде.
[ http://can-cia.com/fileadmin/cia/pdfs/CANdictionary-v2_ru.pdf]Тематики
Синонимы
EN
подуровень управления логическим звеном
подуровень УЛЗ
Верхний подуровень уровня звена данных, выполняющий независимые от физической среды и метода доступа к ней функции звена данных.
[ ГОСТ 29099-91]Тематики
Синонимы
EN
процедура управления логическим каналом
В локальных вычислительных сетях (LAN) или в городских вычислительных сетях (MAN) это та часть протокола, которая управляет сборкой кадров на канальном уровне и их обменом между станциями передачи данных, независимо от того, как распределяется средство передачи. (МСЭ-Т J.112; J.116).
[ http://www.iks-media.ru/glossary/index.html?glossid=2400324]Тематики
- электросвязь, основные понятия
EN
регулятор уровня жидкости
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]Тематики
EN
управление логическим звеном
(МСЭ-Т Y.1310).
[ http://www.iks-media.ru/glossary/index.html?glossid=2400324]Тематики
- электросвязь, основные понятия
EN
управление логическим звеном (каналом)
УЛЗ
—
[Е.С.Алексеев, А.А.Мячев. Англо-русский толковый словарь по системотехнике ЭВМ. Москва 1993]Тематики
Синонимы
EN
управление логическим каналом
В ЛВС 802.x подуровень 802.2 модели OSI обеспечивает функции согласования формата пакетов для разнотипных сетей, дополняя функции подуровня управления доступом к среде (MAC). См. такжеIEEE 802.2, datalinklayer (DLL).
[ http://www.lexikon.ru/dict/net/index.html]Тематики
EN
управление логическим соединением
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]Тематики
EN
установление логического соединения
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]Тематики
EN
01.05.24 модель расширенного канала [ extended channel model]: Система кодирования и передачи как байтов с данными сообщения, так и управляющей информации о сообщении, в пределах которой декодер работает в режиме расширенного канала.
Примечание - Управляющая информация передается с использованием управляющих последовательностей интерпретации в расширенном канале (ECI).
<2>4 Сокращения1)
1)Следует учитывать, что в соответствии с оригиналом ИСО/МЭК 19762-1 в данном разделе присутствует сокращение CSMA/CD, которое в тексте стандарта не используется.
Кроме того, сокращения отсортированы в алфавитном порядке.
Al
Идентификатор применения [application identifier]
ANS
Американский национальный стандарт [American National Standard]
ANSI
Американский национальный институт стандартов [American National Standards Institute]
ASC
Аккредитованный комитет по стандартам [Accredited Standards Committee]
вес
Контрольный знак блока [block check character]
BCD
Двоично-десятичный код (ДДК) [binary coded decimal]
BER
Коэффициент ошибок по битам [bit error rate]
CRC
Контроль циклическим избыточным кодом [cyclic redundancy check]
CSMA/CD
Коллективный доступ с контролем несущей и обнаружением конфликтов [carrier sense multiple access with collision detection network]
CSUM
Контрольная сумма [check sum]
Dl
Идентификатор данных [data identifier]
ECI
Интерпретация в расширенном канале [extended channel interpretation]
EDI
Электронный обмен данными (ЭОД) [electronic data interchange]
EEPROM
Электрически стираемое программируемое постоянное запоминающее устройство [electrically erasable programmable read only memory]
HEX
Шестнадцатеричная система счисления [hexadecimal]
INCITS
Международный комитет по стандартам информационных технологий [International Committee for Information Technology Standards]
LAN
Локальная вычислительная сеть [local area network]
Laser
Усиление света с помощью вынужденного излучения [light amplification by the stimulated emission of radiation]
LED
Светоизлучающий диод [light emitting diode]
LLC
Управление логической связью [logical link control]
LSB
Младший значащий бит [least significant bit]
МНЮ
Аккредитованный комитет по отраслевым стандартам в сфере обработки грузов [Accredited Standards Committee for the Material Handling Industry]
MSB
Старший значащий бит [most significant bit]
MTBF
Средняя наработка на отказ [mean time between failures]
MTTR
Среднее время ремонта [mean time to repair]
NRZ
Без возвращения к нулю [non-return to zero code]
NRZ Space
Кодирование без возвращения к нулю с перепадом на нулях [non-return to zero-space]
NRZ-1
Кодирование без возвращения к нулю с перепадом на единицах [non-return to zero invert on ones]
NRZ-M
Запись без возвращения к нулю (метка) [non-return to zero (mark) recording]
RTI
Возвратное транспортное упаковочное средство [returnable transport item]
RZ
Кодирование с возвратом к нулю [return to zero]
VLD
Светоизлучающий лазерный диод [visible laser diode]
<2>Библиография
[1]
ИСО/МЭК Руководство 2
Стандартизация и связанная с ней деятельность. Общий словарь
(ISO/IECGuide2)
(Standardization and related activities - General vocabulary)
[2]
ИСО/МЭК 2382-1
Информационные технологии. Словарь - Часть 1. Основные термины
(ISO/IEC 2382-1)
(Information technology - Vocabulary - Part 1: Fundamental terms)
[3]
ИСО/МЭК 2382-4
Информационные технологии. Словарь - Часть 4. Организация данных
(ISO/IEC 2382-4)
(Information technology - Vocabulary - Part 4: Organization of data)
[4]
ИСО/МЭК 2382-9
Информационные технологии. Словарь. Часть 9. Передача данных
(ISO/IEC 2382-9)
(Information technology - Vocabulary - Part 9: Data communication)
[5]
ИСО/МЭК 2382-16
Информационные технологии. Словарь. Часть 16. Теория информации
(ISO/IEC 2382-16)
(Information technology - Vocabulary - Part 16: Information theory)
[6]
ИСО/МЭК 19762-2
Информационные технологии. Технологии автоматической идентификации и сбора данных (АИСД). Гармонизированный словарь. Часть 2. Оптические носители данных (ОНД)
(ISO/IEC 19762-2)
(Information technology - Automatic identification and data capture (AIDC) techniques - Harmonized vocabulary - Part 2: Optically readable media (ORM))
[7]
ИСО/МЭК 19762-3
Информационные технологии. Технологии автоматической идентификации и сбора данных (АИСД). Гармонизированный словарь. Часть 3. Радиочастотная идентификация (РЧИ)
(ISO/IEC 19762-3)
(Information technology - Automatic identification and data capture (AIDC) techniques - Harmonized vocabulary - Part 3: Radio frequency identification (RFID)
[8]
ИСО/МЭК 19762-4
Информационные технологии. Технологии автоматической идентификации и сбора данных (АИСД). Гармонизированный словарь. Часть 4. Основные термины в области радиосвязи
(ISO/IEC 19762-4)
(Information technology-Automatic identification and data capture (AIDC) techniques - Harmonized vocabulary - Part 4: General terms relating to radio communications)
[9]
ИСО/МЭК 19762-5
Информационные технологии. Технологии автоматической идентификации и сбора данных (АИСД). Гармонизированный словарь. Часть 5. Системы определения места нахождения
(ISO/IEC 19762-5)
(Information technology - Automatic identification and data capture (AIDC) techniques - Harmonized vocabulary - Part 5: Locating systems)
[10]
МЭК 60050-191
Международный Электротехнический Словарь. Глава 191. Надежность и качество услуг
(IEC 60050-191)
(International Electrotechnical Vocabulary - Chapter 191: Dependability and quality of Service)
[11]
МЭК 60050-702
Международный Электротехнический Словарь. Глава 702. Колебания, сигналы и соответствующие устройства
(IEC 60050-702)
(International Electrotechnical Vocabulary - Chapter 702: Oscillations, signals and related devices)
[12]
МЭК 60050-704
Международный Электротехнический словарь. Глава 704. Техника передачи
(IEC 60050-704)
(International Electrotechnical Vocabulary. Chapter 704: Transmission)
[13]
МЭК 60050-845
Международный электротехнический словарь. Глава 845. Освещение
(IEC 60050-845)
(International Electrotechnical Vocabulary - Chapter 845: Lighting)
<2>
Источник: ГОСТ Р ИСО/МЭК 19762-1-2011: Информационные технологии. Технологии автоматической идентификации и сбора данных (АИСД). Гармонизированный словарь. Часть 1. Общие термины в области АИСД оригинал документа
Англо-русский словарь нормативно-технической терминологии > LLC
-
66 number
1) числоб) количествов) состав; совокупность2) номер (1. порядковый номер 2. обозначенный номером объект 3. номер телефона 4. номер (концертной) программы) || нумеровать; присваивать номер3) знак (порядкового) номера, символ \# ( в англоязычной литературе)4) индекс (напр. моды)5) считать; пересчитывать6) pl арифметика•- number of cylinders
- number of epochs
- number of heads
- number of hidden layers
- number of logical cylinders
- number of logical heads
- number of logical sectors
- number of primary turns
- number of quantizing levels
- number of secondary turns
- number of sectors per track
- number of sessions
- number of states
- number of tracks
- number of turns
- Abbe number
- absolute frame number
- abstract number
- account number
- additional quantum number
- algebraic number
- angular mode number
- assigned number
- Avogadro number
- axial mode number
- azimuthal quantum number
- base number
- Betti number
- binary number
- binary-coded decimal number
- block number
- Brinell hardness number
- bus number
- call number
- called directory number
- called terminal number
- calling directory number
- calling terminal number
- cardinal number - Cayley numbers
- channel number - cliquomatic number
- cluster number
- coded decimal number
- complex number
- composite number
- concrete number
- condition number
- controller number
- Conway number
- coprime numbers
- counting number
- customer number
- cutoff wave number
- cylinder number
- device number
- directory number
- double-length number
- double-precision number
- drive number
- effective number of bits - even number
- expected number of augmented doubles
- extension number
- f-number
- Fibonacci numbers
- fixed-point number
- floating-point number
- font number
- fractional number - Fresnel number
- function number - Grashof number
- groove number
- Gummel number
- Hartman number
- head number
- hexadecimal number - ID number
- identification number
- imaginary number
- infinite repeating decimal number
- inner quantum number
- interconnection level number
- international number
- Internet number
- internet number
- irrational number
- job number
- Julian number
- line number
- logical block number
- logical cylinder number
- logical device number
- logical head number
- logical sector number - Lorentz number
- fuzzy number
- L-R fuzzy number
- Lundquist number
- magic number
- magnetic quantum number
- magnetic Reynolds number
- main quantum number
- mass number
- maximum usable read number
- Mersenne prime numbers
- mixed number - multiple number
- natural number
- network number - normalized wave number
- Nusselt number
- occupation number
- odd number
- orbital quantum number
- ordinal number
- page number
- perfect number
- personal communication number - physical cylinder number
- physical head number
- physical sector number
- portable serial number - preprogrammed number
- prime number
- principal quantum number
- priority number
- propagation number
- pseudodecimal number
- pseudorandom number
- quantum number
- radial mode number
- radix number
- random number
- rational number
- read number
- read-around number
- real number - repeating decimal number
- resolvable element number
- revolution number
- Reynolds number
- round-off number
- scanning-lines number
- Schmidt number
- security service number
- seed number
- serial number
- Sherwood number
- signed number
- spin quantum number
- SS number
- statement number
- subnet number
- subscriber number
- surreal number
- T-number
- telephone number
- ticket number
- tolerant fuzzy number
- toll-free number
- total quantum number
- track number
- transcendental number
- transfinite number
- translational quantum number
- transverse wave number
- trapezoidal fuzzy number
- triangular fuzzy number
- unimodal fuzzy number
- unlisted phone number
- unsigned number
- version number
- vias number
- vibrational quantum number
- Vickers number
- volume reference number
- volume serial number
- wave number
- whole number
- winding number
- Wolf number -
67 number
1) числоб) количествов) состав; совокупность2) номер (1. порядковый номер 2. обозначенный номером объект 3. номер телефона 4. номер (концертной) программы) || нумеровать; присваивать номер3) знак (порядкового) номера, символ \# ( в англоязычной литературе)4) индекс (напр. моды)5) считать; пересчитывать6) pl. арифметика•- Abbe number
- absolute frame number
- abstract number
- account number
- additional quantum number
- algebraic number
- angular mode number
- assigned number
- Avogadro number
- axial mode number
- azimuthal quantum number
- base number
- Betti number
- binary number
- binary-coded decimal number
- block number
- Brinell hardness number
- bus number
- call number
- called directory number
- called terminal number
- calling directory number
- calling terminal number
- card select number
- cardinal number
- Catalan's numbers
- Cayley numbers
- channel number
- ciphering key sequence number
- clique number
- cliquomatic number
- cluster number
- coded decimal number
- complex number
- composite number
- concrete number
- condition number
- controller number
- Conway number
- coprime numbers
- counting number
- customer number
- cutoff wave number
- cylinder number
- device number
- directory number
- double-length number
- double-precision number
- drive number
- effective number of bits
- electronic ID number
- enterprise number
- even number
- expected number of augmented doubles
- extension number
- f number
- Fibonacci numbers
- fixed-point number
- floating-point number
- font number
- fractional number
- frame number
- frequency-band number
- Fresnel number
- function number
- fuzzy number
- Ginsburg number
- Grashof number
- groove number
- Gummel number
- Hartman number
- head number
- hexadecimal number
- hopping sequence number
- host number
- ID number
- identification number
- imaginary number
- infinite repeating decimal number
- inner quantum number
- interconnection level number
- international number
- Internet number
- internet number
- irrational number
- job number
- Julian number
- line number
- logical block number
- logical cylinder number
- logical device number
- logical head number
- logical sector number
- logical unit number
- longitudinal propagation number
- Lorentz number
- Lundquist number - magnetic Reynolds number
- main quantum number
- mass number
- maximum usable read number
- Mersenne prime numbers
- mixed number
- mobile station international ISDN number
- mode number
- multiple number
- natural number
- network number
- non-registered parameter number
- normal fuzzy number
- normalized wave number
- number of augmented doubles
- number of cylinders
- number of epochs
- number of heads
- number of hidden layers
- number of logical cylinders
- number of logical heads
- number of logical sectors
- number of primary turns
- number of quantizing levels
- number of secondary turns
- number of sectors per track
- number of sessions
- number of states
- number of tracks
- number of turns
- Nusselt number
- occupation number
- odd number
- orbital quantum number
- ordinal number
- page number
- perfect number
- personal communication number
- personal identification number
- physical block number
- physical cylinder number
- physical head number
- physical sector number
- portable serial number
- portable user number
- Prandtl number
- preprogrammed number
- prime number
- principal quantum number
- priority number
- propagation number
- pseudodecimal number
- pseudorandom number
- quantum number
- radial mode number
- radix number
- random number
- rational number
- read number
- read-around number
- real number
- registered parameter number
- release number
- repeating decimal number
- resolvable element number
- revolution number
- Reynolds number
- round-off number
- scanning-lines number
- Schmidt number
- security service number
- seed number
- serial number
- Sherwood number
- signed number
- spin quantum number
- SS number
- statement number
- subnet number
- subscriber number
- surreal number
- T number
- telephone number
- ticket number
- tolerant fuzzy number
- toll-free number
- total quantum number
- track number
- transcendental number
- transfinite number
- translational quantum number
- transverse wave number
- trapezoidal fuzzy number
- triangular fuzzy number
- unimodal fuzzy number
- unlisted phone number
- unsigned number
- version number
- vias number
- vibrational quantum number
- Vickers number
- volume reference number
- volume serial number
- wave number
- whole number
- winding number
- Wolf numberThe New English-Russian Dictionary of Radio-electronics > number
-
68 LC
1. labor costs - затраты на рабочую силу;2. launch control - управление пуском ракет;3. lead-covered - со свинцовым покрытием;4. lease crude - нефть, добытая на данном участке;5. legal counsel - юридический совет;6. letter contract - предварительное соглашение; контракт-письмо;7. letter of credit - аккредитив;8. level control - контроль за уровнем; регулирование уровня;9. level controller - регулятор уровня;10. life cycle - жизненный цикл; рабочий ресурс;11. line connector - линейный соединитель;12. line of communication - линия связи;13. link circuit - схема связи; схема соединения;14. liquid crystal - жидкий кристалл; ЖК;15. load cell - ячейка загрузки;16. load control - регулирование по нагрузке; регулировка нагрузки;17. local control - локальное регулирование;18. local controller - устройство локального контроля;19. location counter - счётчик адресов ячеек; счётчик команд;20. locked closed - замкнут в закрытом состоянии;21. loco citato; in place cited - там же; в упомянутом месте; в цитированном месте;22. logical channel - логический канал;23. logical child - "логическое дитя";24. logical circuit - логическая схема;25. long coupling - длинномуфтовое соединение для обсадных труб;26. lost circulation - потеря циркуляции; поглощение бурового раствора;27. lost cone - потеря шарошки;28. low conductivity - низкая удельная электропроводность;29. lower case - нижний регистр;30. lower control limit - нижний предел регулирования -
69 model
1) модель (1. упрощённое представление объекта, процесса или явления; структурная аналогия 2. макет 3. образец; эталон; шаблон 4. пример; тип 5. стиль; дизайн) || моделировать (1. создавать упрощённое представление объекта, процесса или явления; пользоваться структурной аналогией 2. макетировать 3. создавать образец, эталон или шаблон 4. пользоваться примером; относить к определённому типу) || модельный (1. относящийся к упрощённому представлению объекта, процесса или явления; использующий структурную аналогию 2. макетный 3. образцовый; эталонный; шаблонный 4. примерный; типовой)2) служить моделью; выполнять функции модели3) создавать по образцу, эталону или шаблону4) придерживаться определённого стиля; следовать выбранному дизайну•- 2-D model
- adaptive expectations model
- additive model of neural network
- analog model
- antenna scale model
- application domain model
- AR model
- ARCH model
- ARDL model
- ARIMA model
- ARMA model
- atmospheric density model
- autoregressive conditional heteroscedastic model
- autoregressive distributed lags model
- autoregressive integrated moving average model
- autoregressive moving average model
- band model
- behavioral model
- Benetton model
- Berkeley short-channel IGFET model
- binary model
- binary choice model
- Bohr-Sommerfeld model
- Bohr-Sommerfeld model of atom
- Box-Jenkins model
- Bradley-Terry-Luce model
- brain-state-in-a-box model
- breadboard model
- Brookings models
- BSB model
- business model
- CAD model
- capability maturity model
- carrier-storage model
- causal model
- censored model
- centralized model
- charge-control model
- Chen model
- classical normal linear regression model
- classical regression model
- client-server model
- CMY model
- CMYK model
- cobweb model
- collective-electron model
- color model
- compact model
- component object model
- computer model
- computer-aided-design model
- conceptual model of hypercompetition
- conceptual data model
- conductor impedance model
- congruent model
- connectionist model
- continuum model
- Cox proportional hazards regression model
- data model
- Davidson-Hendry-Srba-Yeo model
- descriptive model
- design model
- deterministic model
- DHSY model
- discrete choice model
- distributed component object model
- distributed computing model
- distributed lags model
- distributed system object model
- distribution-free model
- document object model
- domain model
- domain architecture model
- duration model
- dynamic model
- EER-model
- energy-gap model
- entity-relationship model
- ER-model
- error correction model
- errors-in-variables model
- experimental model
- extended entity-relationship model
- extended relational model
- extended relational data model
- extensional model
- ferromagnetic Fermi-liquid model
- file level model
- financial model
- finite-population model
- fixed-effects model
- flat Earth model
- flat free model of advertising
- formalized model
- fractal model
- frame model
- fuzzy model
- GARCH model
- generalized autoregressive conditional heteroscedastic model
- generalized linear model
- geometric model
- geometrical lags model
- gross-level model
- ground-environment model
- Haken-Kelso-Bunz model
- Heisenberg model
- heuristic model
- hierarchical data model
- HLS model
- holographic model
- HSB model
- HSV model
- Hubbard model
- huge model
- hybrid-pi model
- hypothesis model
- ideal model
- imaging model
- indexed colors model
- information model
- information-logical model
- intensional model
- intercept-only model
- ionospheric model
- irreversible growth model
- Ising model
- ISO/OSI reference model
- Klein model
- Kronig-Penney model
- L*a*b* model
- large model
- large-signal device model
- LCH model
- learning, induction and schema abstraction model
- life cycle model
- limited dependent variable model
- linear model
- linear probability model
- LISA model
- logical model
- logical-linguistic model
- logistic model
- logit model
- loglinear model
- Londons' model of superconductivity
- lookup-table model
- Lorentz model
- low-signal device model
- machine model
- macrolevel model
- magnetic hysteresis model
- magnetohydrodynamic plasma model
- mathematical model
- matrix-memory model
- medium model
- memory model
- MHD plasma model
- microlevel model
- Minsky model
- Minsky frame model
- mixed model
- molecular-field model
- moving average model
- multiple regression model
- multiplicative model
- nested model
- network model
- network data model
- non-nested model
- non-parametric model
- N-state Potts model
- N-tier model
- null model
- object model
- object data model
- one-dimensional model
- one-fluid plasma model
- operations model
- optimizing model
- parabolic-ionosphere model
- parametric model
- parsimonious model
- partial adjustment model
- phenomenological model
- physical model
- pilot model
- Pippard nonlocal model
- plant model
- Poisson model
- polar model
- polynomial lags model
- postrelational model
- postrelational data model
- Potts model
- predictive model
- Preisach model
- preproduction model
- price model of advertising
- probabilistic model
- probit model
- proportional hazard model
- proportional-odds model
- prototype model
- quadratic model
- qualitative dependent variable model
- quantum mechanical model of superconductivity
- quasi-equilibrium model
- quasi-linear model
- random coefficients model
- random-effects model
- register model
- relational model
- relational data model
- relative model
- representative model
- response-surface model
- RGB model
- Ridley-Watkins-Hilsum model
- rival models
- Rössler model
- RWH model
- saturated model
- scalar model
- SCSI architecture model
- semantic model
- semiotic model
- sharply bounded ionosphere model
- simulation model
- single-ion model
- Skyrme model
- small model
- small-signal device model
- solid model
- spherical Earth model
- state-space model
- statistical model
- stochastic model
- Stoner-Wohlfart model
- structural model
- stuck-at-fault model
- surface model
- symbolic model
- symbolic-form model
- synergetic model
- system model
- system object model
- test model
- thermodynamical model
- three-tier model
- tobit model
- transistor model
- translog model
- tropospheric model
- true model
- truncated model
- two-dimensional model
- two-dimensional regression model
- two-fluid model of superconductivity
- two-fluid plasma model
- two-tier model
- Van der Ziel's noise model
- variable parameter model
- vector model
- wire-frame model
- working model -
70 model
1) модель (1. упрощённое представление объекта, процесса или явления; структурная аналогия 2. макет 3. образец; эталон; шаблон 4. пример; тип 5. стиль; дизайн) || моделировать (1. создавать упрощённое представление объекта, процесса или явления; пользоваться структурной аналогией 2. макетировать 3. создавать образец, эталон или шаблон 4. пользоваться примером; относить к определённому типу) || модельный (1. относящийся к упрощённому представлению объекта, процесса или явления; использующий структурную аналогию 2. макетный 3. образцовый; эталонный; шаблонный 4. примерный; типовой)2) служить моделью; выполнять функции модели3) создавать по образцу, эталону или шаблону4) придерживаться определённого стиля; следовать выбранному дизайну•- 2-D model
- adaptive expectations model
- additive model of neural network
- analog model
- antenna scale model
- application domain model
- AR model
- ARCH model
- ARDL model
- ARIMA model
- ARMA model
- atmospheric density model
- autoregressive conditional heteroscedastic model
- autoregressive distributed lags model
- autoregressive integrated moving average model
- autoregressive model
- autoregressive moving average model
- band model
- behavioral model
- Benetton model
- Berkeley short-channel IGFET model
- binary choice model
- binary model
- Bohr-Sommerfeld model of atom
- Bohr-Sommerfeld model
- Box-Jenkins model
- Bradley-Terry-Luce model
- brain-state-in-a-box model
- breadboard model
- Brookings models
- BSB model
- business model
- CAD model
- capability maturity model
- carrier-storage model
- causal model
- censored model
- centralized model
- charge-control model
- Chen model
- classical normal linear regression model
- classical regression model
- client-server model
- CMY model
- CMYK model
- cobweb model
- collective-electron model
- color model
- compact model
- component object model
- computer model
- computer-aided-design model
- conceptual data model
- conceptual model of hypercompetition
- conductor impedance model
- congruent model
- connectionist model
- continuum model
- Cox proportional hazards regression model
- data model
- Davidson-Hendry-Srba-Yeo model
- descriptive model
- design model
- deterministic model
- DHSY model
- discrete choice model
- distributed component object model
- distributed computing model
- distributed lags model
- distributed system object model
- distribution-free model
- document object model
- domain architecture model
- domain model
- duration model
- dynamic model
- EER-model
- energy-gap model
- entity-relationship model
- ER-model
- error correction model
- errors-in-variables model
- experimental model
- extended entity-relationship model
- extended relational data model
- extended relational model
- extensional model
- ferromagnetic Fermi-liquid model
- file level model
- financial model
- finite-population model
- fixed-effects model
- flat Earth model
- flat free model of advertising
- formalized model
- fractal model
- frame model
- fuzzy model
- GARCH model
- generalized autoregressive conditional heteroscedastic model
- generalized linear model
- geometric model
- geometrical lags model
- gross-level model
- ground-environment model
- Haken-Kelso-Bunz model
- Heisenberg model
- heuristic model
- hierarchical data model
- HLS model
- holographic model
- HSB model
- HSV model
- Hubbard model
- huge model
- hybrid-pi model
- hypothesis model
- ideal model
- imaging model
- indexed colors model
- information model
- information-logical model
- intensional model
- intercept-only model
- ionospheric model
- irreversible growth model
- Ising model
- ISO/OSI reference model
- Klein model
- Kronig-Penney model
- L*a*b* model
- large model
- large-signal device model
- LCH model
- learning, induction and schema abstraction model
- life cycle model
- limited dependent variable model
- linear model
- linear probability model
- LISA model
- logical model
- logical-linguistic model
- logistic model
- logit model
- loglinear model
- Londons' model of superconductivity
- lookup-table model
- Lorentz model
- low-signal device model
- machine model
- macrolevel model
- magnetic hysteresis model
- magnetohydrodynamic plasma model
- mathematical model
- matrix-memory model
- medium model
- memory model
- MHD plasma model
- microlevel model
- Minsky frame model
- Minsky model
- mixed model
- molecular-field model
- moving average model
- multiple regression model
- multiplicative model
- nested model
- network data model
- network model
- non-nested model
- non-parametric model
- N-state Potts model
- N-tier model
- null model
- object data model
- object model
- one-dimensional model
- one-fluid plasma model
- operations model
- optimizing model
- parabolic-ionosphere model
- parametric model
- parsimonious model
- partial adjustment model
- phenomenological model
- physical model
- pilot model
- Pippard nonlocal model
- plant model
- Poisson model
- polar model
- polynomial lags model
- postrelational data model
- postrelational model
- Potts model
- predictive model
- Preisach model
- preproduction model
- price model of advertising
- probabilistic model
- probit model
- proportional hazard model
- proportional-odds model
- prototype model
- quadratic model
- qualitative dependent variable model
- quantum mechanical model of superconductivity
- quasi-equilibrium model
- quasi-linear model
- random coefficients model
- random-effects model
- register model
- relational data model
- relational model
- relative model
- representative model
- response-surface model
- RGB model
- Ridley-Watkins-Hilsum model
- rival models
- Rössler model
- RWH model
- saturated model
- scalar model
- SCSI architecture model
- semantic model
- semiotic model
- sharply bounded ionosphere model
- simulation model
- single-ion model
- Skyrme model
- small model
- small-signal device model
- solid model
- spherical Earth model
- state-space model
- statistical model
- stochastic model
- Stoner-Wohlfart model
- structural model
- stuck-at-fault model
- surface model
- symbolic model
- symbolic-form model
- synergetic model
- system model
- system object model
- test model
- thermodynamical model
- three-tier model
- tobit model
- transistor model
- translog model
- tropospheric model
- true model
- truncated model
- two-dimensional model
- two-dimensional regression model
- two-fluid model of superconductivity
- two-fluid plasma model
- two-tier model
- Van der Ziel's noise model
- variable parameter model
- vector model
- wire-frame model
- working modelThe New English-Russian Dictionary of Radio-electronics > model
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71 design
1) проектирование; разработка; конструирование; синтез || проектировать; разрабатывать; конструировать; синтезировать2) проект; конструкция; схема; чертёж3) расчёт4) план; планирование || планировать5) дизайн || заниматься дизайном•- ad hoc design
- AMS design
- analog/mixed signal design
- architectural design
- artwork design
- balanced design
- batch circuit design
- bipolar design
- bottom-up design
- brain-dead design
- chip design
- circuit design
- compositional design - conceptual database design
- cooperative design
- coplanar design
- custom design
- data design
- data-structure design
- dedicated design
- designer-directed semiautomatic design
- detailed design
- differential design
- digital design
- digital logic design
- discrete-circuit design
- distributed design
- down-top design - experimental design
- factorial design
- fail-safe design
- flip-chip design
- forms design
- functional design
- hardware design
- hierarchical design
- high-level design
- incomplete design
- in-house design - integrated-circuit design
- inverted T-design for cursor keys
- keyswitch design
- layout design - logical design
- logical data design
- man-machine design
- manual design with computer aids
- mask design - mixed signal design
- modular design
- multichip design - optimization-based design
- organizational design
- orthogonal design
- page design
- participatory design
- photomask design
- physical design
- procedural design
- random design
- randomized block design
- random logic design
- scan design
- signal design
- software design
- solid-state level design - structured design
- structured systems design
- system design
- system-on-chip design
- top-down design
- topography design
- worst-case design -
72 design
1) проектирование; разработка; конструирование; синтез || проектировать; разрабатывать; конструировать; синтезировать2) проект; конструкция; схема; чертёж3) расчёт4) план; планирование || планировать5) дизайн || заниматься дизайном•- AMS design
- analog/mixed signal design
- architectural design
- artwork design
- balanced design
- batch circuit design
- bipolar design
- bottom-up design
- brain-dead design
- chip design
- circuit design
- compositional design
- computer-aided control system design
- computer-aided design
- conceptual database design
- conceptual design
- cooperative design
- coplanar design
- custom design
- data design
- data-structure design
- dedicated design
- design for assembly
- design for manufacturability
- design of experiments
- designer-directed semiautomatic design
- detailed design
- differential design
- digital design
- digital logic design
- discrete-circuit design
- distributed design
- down-top design
- electronic computer-aided design
- engineering design
- experimental design
- factorial design
- fail-safe design
- flip-chip design
- forms design
- functional design
- hardware design
- hierarchical design
- high-level design
- incomplete design
- in-house design
- in-situ testability design
- instructional design
- integrated-circuit design
- inverted T-design for cursor keys
- keyswitch design
- layout design
- level-sensitive scan design
- logic design
- logical data design
- logical design
- man-machine design
- manual design with computer aids
- mask design
- mechanical computer-aided design
- microcomputer-based design
- mixed signal design
- modular design
- multichip design
- object-oriented design
- on-line design
- optimization-based design
- organizational design
- orthogonal design
- page design
- participatory design
- photomask design
- physical design
- procedural design
- random design
- random logic design
- randomized block design
- scan design
- signal design
- software design
- solid-state level design
- space structure computer-aided design
- structural design
- structured design
- structured systems design
- system design
- system-on-chip design
- top-down design
- topography design
- worst-case designThe New English-Russian Dictionary of Radio-electronics > design
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73 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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74 consistent
[kən'sɪstənt]1) [growth, level, quality] costante; [kindness, help] costante, continuo; [sportsman, playing] regolare2) (repeated) [attempts, demands] ripetuto4) consistent with conforme a o compatibile con [account, belief]* * *[kən'sistənt]2)(always (acting, thinking or happening) according to the same rules or principles; the same or regular: He was consistent in his attitude; a consistent style of writing.)* * *[kən'sɪstənt]1) [growth, level, quality] costante; [kindness, help] costante, continuo; [sportsman, playing] regolare2) (repeated) [attempts, demands] ripetuto4) consistent with conforme a o compatibile con [account, belief] -
75 number
1) число || считать; насчитывать2) номер || нумеровать3) цифра4) шифр•- account number
- acknowledged sequence number
- actual device number
- assembly number
- assigned numbers
- average sample number
- base number
- binary number
- binary-coded decimal number
- binary-coded number
- binary-decimal number
- biquinary number
- biquinary-coded decimal number
- Boolean number
- broken number
- call number
- cardinal number
- certainty number
- check number
- chromatic number
- coded decimal number
- complex number
- composite number
- condition number
- congruous numbers
- conjugate complex number
- control number
- coprime numbers
- cyclomatic number
- decimal number
- denominate number
- double-length number
- double-precision number
- duodecimal number
- error number
- even number
- Fibonacci number
- fixed-point number
- floating-point number
- fractional number
- frame number
- generation number
- Godel number
- hexadecimal number
- host number
- identification number
- identitying number
- imaginary number
- incarnation number
- installation-tape number
- integer number
- integral number
- IP number
- irrational number
- item number
- job number
- level number
- line number
- local serial number
- logical number
- logical tape number
- long number
- magic number
- main number
- many-digit number
- mixed number
- mixed-base number
- mixed-radix number
- multilength number
- multiple-length number
- natural number
- N-bit number
- negative number
- nine's complement number
- nonnegative number
- normalized number
- octal number
- odd number
- one-digit number
- one's-complement number
- ordinal number
- packed decimal number
- pairwise relatively prime numbers
- part number
- perfect number
- personal identification number
- polyvalent number
- positional number
- positive number
- prime number
- priority number
- pseudodecimal number
- pseudorandom number
- radix number
- random number
- rational number
- read-around number
- real number
- round-off number
- sales-level part number
- self-checking number
- septenary number
- sequence number
- serial number
- sexadecimal number
- short number
- signed number
- statement number
- symbolic number
- tag number
- tape serial number
- ten's complement number
- ternary number
- two's complement number
- unnormalized number
- unsigned number
- user identification number
- virtual numberEnglish-Russian dictionary of computer science and programming > number
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76 Language
Philosophy is written in that great book, the universe, which is always open, right before our eyes. But one cannot understand this book without first learning to understand the language and to know the characters in which it is written. It is written in the language of mathematics, and the characters are triangles, circles, and other figures. Without these, one cannot understand a single word of it, and just wanders in a dark labyrinth. (Galileo, 1990, p. 232)It never happens that it [a nonhuman animal] arranges its speech in various ways in order to reply appropriately to everything that may be said in its presence, as even the lowest type of man can do. (Descartes, 1970a, p. 116)It is a very remarkable fact that there are none so depraved and stupid, without even excepting idiots, that they cannot arrange different words together, forming of them a statement by which they make known their thoughts; while, on the other hand, there is no other animal, however perfect and fortunately circumstanced it may be, which can do the same. (Descartes, 1967, p. 116)Human beings do not live in the object world alone, nor alone in the world of social activity as ordinarily understood, but are very much at the mercy of the particular language which has become the medium of expression for their society. It is quite an illusion to imagine that one adjusts to reality essentially without the use of language and that language is merely an incidental means of solving specific problems of communication or reflection. The fact of the matter is that the "real world" is to a large extent unconsciously built on the language habits of the group.... We see and hear and otherwise experience very largely as we do because the language habits of our community predispose certain choices of interpretation. (Sapir, 1921, p. 75)It powerfully conditions all our thinking about social problems and processes.... No two languages are ever sufficiently similar to be considered as representing the same social reality. The worlds in which different societies live are distinct worlds, not merely the same worlds with different labels attached. (Sapir, 1985, p. 162)[A list of language games, not meant to be exhaustive:]Giving orders, and obeying them- Describing the appearance of an object, or giving its measurements- Constructing an object from a description (a drawing)Reporting an eventSpeculating about an eventForming and testing a hypothesisPresenting the results of an experiment in tables and diagramsMaking up a story; and reading itPlay actingSinging catchesGuessing riddlesMaking a joke; and telling itSolving a problem in practical arithmeticTranslating from one language into anotherLANGUAGE Asking, thanking, cursing, greeting, and praying-. (Wittgenstein, 1953, Pt. I, No. 23, pp. 11 e-12 e)We dissect nature along lines laid down by our native languages.... The world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... No individual is free to describe nature with absolute impartiality but is constrained to certain modes of interpretation even while he thinks himself most free. (Whorf, 1956, pp. 153, 213-214)We dissect nature along the lines laid down by our native languages.The categories and types that we isolate from the world of phenomena we do not find there because they stare every observer in the face; on the contrary, the world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... We are thus introduced to a new principle of relativity, which holds that all observers are not led by the same physical evidence to the same picture of the universe, unless their linguistic backgrounds are similar or can in some way be calibrated. (Whorf, 1956, pp. 213-214)9) The Forms of a Person's Thoughts Are Controlled by Unperceived Patterns of His Own LanguageThe forms of a person's thoughts are controlled by inexorable laws of pattern of which he is unconscious. These patterns are the unperceived intricate systematizations of his own language-shown readily enough by a candid comparison and contrast with other languages, especially those of a different linguistic family. (Whorf, 1956, p. 252)It has come to be commonly held that many utterances which look like statements are either not intended at all, or only intended in part, to record or impart straightforward information about the facts.... Many traditional philosophical perplexities have arisen through a mistake-the mistake of taking as straightforward statements of fact utterances which are either (in interesting non-grammatical ways) nonsensical or else intended as something quite different. (Austin, 1962, pp. 2-3)In general, one might define a complex of semantic components connected by logical constants as a concept. The dictionary of a language is then a system of concepts in which a phonological form and certain syntactic and morphological characteristics are assigned to each concept. This system of concepts is structured by several types of relations. It is supplemented, furthermore, by redundancy or implicational rules..., representing general properties of the whole system of concepts.... At least a relevant part of these general rules is not bound to particular languages, but represents presumably universal structures of natural languages. They are not learned, but are rather a part of the human ability to acquire an arbitrary natural language. (Bierwisch, 1970, pp. 171-172)In studying the evolution of mind, we cannot guess to what extent there are physically possible alternatives to, say, transformational generative grammar, for an organism meeting certain other physical conditions characteristic of humans. Conceivably, there are none-or very few-in which case talk about evolution of the language capacity is beside the point. (Chomsky, 1972, p. 98)[It is] truth value rather than syntactic well-formedness that chiefly governs explicit verbal reinforcement by parents-which renders mildly paradoxical the fact that the usual product of such a training schedule is an adult whose speech is highly grammatical but not notably truthful. (R. O. Brown, 1973, p. 330)he conceptual base is responsible for formally representing the concepts underlying an utterance.... A given word in a language may or may not have one or more concepts underlying it.... On the sentential level, the utterances of a given language are encoded within a syntactic structure of that language. The basic construction of the sentential level is the sentence.The next highest level... is the conceptual level. We call the basic construction of this level the conceptualization. A conceptualization consists of concepts and certain relations among those concepts. We can consider that both levels exist at the same point in time and that for any unit on one level, some corresponding realizate exists on the other level. This realizate may be null or extremely complex.... Conceptualizations may relate to other conceptualizations by nesting or other specified relationships. (Schank, 1973, pp. 191-192)The mathematics of multi-dimensional interactive spaces and lattices, the projection of "computer behavior" on to possible models of cerebral functions, the theoretical and mechanical investigation of artificial intelligence, are producing a stream of sophisticated, often suggestive ideas.But it is, I believe, fair to say that nothing put forward until now in either theoretic design or mechanical mimicry comes even remotely in reach of the most rudimentary linguistic realities. (Steiner, 1975, p. 284)The step from the simple tool to the master tool, a tool to make tools (what we would now call a machine tool), seems to me indeed to parallel the final step to human language, which I call reconstitution. It expresses in a practical and social context the same understanding of hierarchy, and shows the same analysis by function as a basis for synthesis. (Bronowski, 1977, pp. 127-128)t is the language donn eґ in which we conduct our lives.... We have no other. And the danger is that formal linguistic models, in their loosely argued analogy with the axiomatic structure of the mathematical sciences, may block perception.... It is quite conceivable that, in language, continuous induction from simple, elemental units to more complex, realistic forms is not justified. The extent and formal "undecidability" of context-and every linguistic particle above the level of the phoneme is context-bound-may make it impossible, except in the most abstract, meta-linguistic sense, to pass from "pro-verbs," "kernals," or "deep deep structures" to actual speech. (Steiner, 1975, pp. 111-113)A higher-level formal language is an abstract machine. (Weizenbaum, 1976, p. 113)Jakobson sees metaphor and metonymy as the characteristic modes of binarily opposed polarities which between them underpin the two-fold process of selection and combination by which linguistic signs are formed.... Thus messages are constructed, as Saussure said, by a combination of a "horizontal" movement, which combines words together, and a "vertical" movement, which selects the particular words from the available inventory or "inner storehouse" of the language. The combinative (or syntagmatic) process manifests itself in contiguity (one word being placed next to another) and its mode is metonymic. The selective (or associative) process manifests itself in similarity (one word or concept being "like" another) and its mode is metaphoric. The "opposition" of metaphor and metonymy therefore may be said to represent in effect the essence of the total opposition between the synchronic mode of language (its immediate, coexistent, "vertical" relationships) and its diachronic mode (its sequential, successive, lineal progressive relationships). (Hawkes, 1977, pp. 77-78)It is striking that the layered structure that man has given to language constantly reappears in his analyses of nature. (Bronowski, 1977, p. 121)First, [an ideal intertheoretic reduction] provides us with a set of rules"correspondence rules" or "bridge laws," as the standard vernacular has it-which effect a mapping of the terms of the old theory (T o) onto a subset of the expressions of the new or reducing theory (T n). These rules guide the application of those selected expressions of T n in the following way: we are free to make singular applications of their correspondencerule doppelgangers in T o....Second, and equally important, a successful reduction ideally has the outcome that, under the term mapping effected by the correspondence rules, the central principles of T o (those of semantic and systematic importance) are mapped onto general sentences of T n that are theorems of Tn. (P. Churchland, 1979, p. 81)If non-linguistic factors must be included in grammar: beliefs, attitudes, etc. [this would] amount to a rejection of the initial idealization of language as an object of study. A priori such a move cannot be ruled out, but it must be empirically motivated. If it proves to be correct, I would conclude that language is a chaos that is not worth studying.... Note that the question is not whether beliefs or attitudes, and so on, play a role in linguistic behavior and linguistic judgments... [but rather] whether distinct cognitive structures can be identified, which interact in the real use of language and linguistic judgments, the grammatical system being one of these. (Chomsky, 1979, pp. 140, 152-153)23) Language Is Inevitably Influenced by Specific Contexts of Human InteractionLanguage cannot be studied in isolation from the investigation of "rationality." It cannot afford to neglect our everyday assumptions concerning the total behavior of a reasonable person.... An integrational linguistics must recognize that human beings inhabit a communicational space which is not neatly compartmentalized into language and nonlanguage.... It renounces in advance the possibility of setting up systems of forms and meanings which will "account for" a central core of linguistic behavior irrespective of the situation and communicational purposes involved. (Harris, 1981, p. 165)By innate [linguistic knowledge], Chomsky simply means "genetically programmed." He does not literally think that children are born with language in their heads ready to be spoken. He merely claims that a "blueprint is there, which is brought into use when the child reaches a certain point in her general development. With the help of this blueprint, she analyzes the language she hears around her more readily than she would if she were totally unprepared for the strange gabbling sounds which emerge from human mouths. (Aitchison, 1987, p. 31)Looking at ourselves from the computer viewpoint, we cannot avoid seeing that natural language is our most important "programming language." This means that a vast portion of our knowledge and activity is, for us, best communicated and understood in our natural language.... One could say that natural language was our first great original artifact and, since, as we increasingly realize, languages are machines, so natural language, with our brains to run it, was our primal invention of the universal computer. One could say this except for the sneaking suspicion that language isn't something we invented but something we became, not something we constructed but something in which we created, and recreated, ourselves. (Leiber, 1991, p. 8)Historical dictionary of quotations in cognitive science > Language
-
77 LC
- энергоузел (энергосистемы)
- центр нагрузки
- условия лицензирования
- тактовый генератор уровня
- регулирование уровня
- регулирование по нагрузке
- рабочий ресурс
- предельный режим
- предельные условия
- период существования
- освинцованный
- несущая с высоким уровнем мощности
- несущая с большим уровнем мощности
- нарушение контакта
- логическое соединение
- логический канал
- линейный соединитель
- контроль уровня
- класс управления журналом
- жидкостная хроматография
жидкостная хроматография
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]Тематики
EN
линейный соединитель
—
[Я.Н.Лугинский, М.С.Фези-Жилинская, Ю.С.Кабиров. Англо-русский словарь по электротехнике и электроэнергетике, Москва, 1999 г.]Тематики
- электротехника, основные понятия
EN
логический канал
Логический канал это информационный поток, предназначенный для передачи определенного типа информации по радиоканалу. Логические каналы располагаются на верхнем уровне MAC. (МСЭ-Т Q.1741).
[ http://www.iks-media.ru/glossary/index.html?glossid=2400324]Тематики
- электросвязь, основные понятия
EN
логическое соединение
соединение
Взаимосвязь, обеспечиваемая некоторым уровнем, между двумя или более логическими объектами смежного верхнего уровня с целью обмена данными.
Примечание
Соединение получает наименование того уровня, который его обеспечивает (например, соединение физического уровня, соединение сетевого уровня).
[ ГОСТ 24402-88]Тематики
Синонимы
EN
нарушение контакта
—
[Я.Н.Лугинский, М.С.Фези-Жилинская, Ю.С.Кабиров. Англо-русский словарь по электротехнике и электроэнергетике, Москва, 1999]Тематики
- электротехника, основные понятия
EN
несущая с большим уровнем мощности
Модулированный сигнал, основная часть энергии которого сосредоточена на не сущей частоте. Ср. suppressed ~.
[Л.М. Невдяев. Телекоммуникационные технологии. Англо-русский толковый словарь-справочник. Под редакцией Ю.М. Горностаева. Москва, 2002]Тематики
- электросвязь, основные понятия
EN
несущая с высоким уровнем мощности
—
[Л.Г.Суменко. Англо-русский словарь по информационным технологиям. М.: ГП ЦНИИС, 2003.]Тематики
EN
освинцованный
—
[Я.Н.Лугинский, М.С.Фези-Жилинская, Ю.С.Кабиров. Англо-русский словарь по электротехнике и электроэнергетике, Москва, 1999]Тематики
- электротехника, основные понятия
EN
- lead-coated
- LC
- lead-covered
- I.c.
период существования
(напр. угольных частиц в зоне горения топки котла)
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]Тематики
EN
предельные условия
—
[Я.Н.Лугинский, М.С.Фези-Жилинская, Ю.С.Кабиров. Англо-русский словарь по электротехнике и электроэнергетике, Москва, 1999 г.]Тематики
- электротехника, основные понятия
EN
предельный режим
—
[Я.Н.Лугинский, М.С.Фези-Жилинская, Ю.С.Кабиров. Англо-русский словарь по электротехнике и электроэнергетике, Москва, 1999 г.]Тематики
- электротехника, основные понятия
EN
регулирование по нагрузке
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]Тематики
EN
тактовый генератор уровня
—
[Л.Г.Суменко. Англо-русский словарь по информационным технологиям. М.: ГП ЦНИИС, 2003.]Тематики
EN
центр нагрузки
—
[Я.Н.Лугинский, М.С.Фези-Жилинская, Ю.С.Кабиров. Англо-русский словарь по электротехнике и электроэнергетике, Москва, 1999 г.]Тематики
- электротехника, основные понятия
EN
энергоузел (энергосистемы)
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]Тематики
EN
Англо-русский словарь нормативно-технической терминологии > LC
-
78 address
адрес || адресовать-
absolute address
-
access address
-
actual address
-
base address
-
blank address
-
call address
-
deferred address
-
direct address
-
dummy address
-
effective address
-
executive address
-
explicit address
-
first-level address
-
home address
-
immediate address
-
implicit address
-
implied address
-
indexed address
-
indirect address
-
instruction address
-
logical address
-
logic address
-
machine address
-
magazine address
-
memory address
-
one-level address
-
operand address
-
page address
-
physical address
-
pointer address
-
program address
-
real address
-
reference address
-
relative address
-
relocatable address
-
result address
-
return address
-
second-level address
-
segment-relative address
-
single-level address
-
source address
-
specific address
-
starting address
-
start address
-
stop address
-
storage address
-
symbolic address
-
third-level address
- time code address -
time address
-
track address
-
true address
-
two-level address
-
variable address
-
virtual address
-
zero address
-
zero-level address -
79 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 -
80 address
адрес || адресовать- absolute address
- actual address
- address of address
- allophone address
- arithmetic address
- auxiliary address
- B address
- base address
- binary-coded address
- blank address
- block address
- broadcast address
- broken address
- calculated address
- call address
- constant address
- coordinate address
- core memory address
- current address
- data address
- destination address
- direct address
- dot address
- drop address
- dummy address
- effective address
- e-mail address
- end address
- entry-point address
- executive address
- explicit address
- external device address
- external address
- extra address
- final address
- first-level address
- fixed address
- floating address
- floating-point address
- foreign address
- frame address
- generated address
- global address
- hash address
- high load address
- higher address
- home address
- host address
- host apparent address
- immediate address
- implicit address
- indexed address
- indexing address
- indirect address
- initial address
- instruction address
- interleaved addresses
- invalid address - key address
- last field address
- leading address
- link address
- linkage address
- listener address
- load-point address
- load address
- location address
- logical address
- lower address - memory address
- multicast address
- multilevel address
- native address
- network address
- Nth-level address
- number address
- octal address
- offset address
- one-level address
- operand address
- out-of-range address
- overflow exit address
- page address
- physical address
- pointer address
- preset address
- presumptive address
- program address
- real address
- reference address
- regional address
- relative address
- relocatable address
- relocation address
- restart address
- result address
- return address
- second-level address
- self-relative address
- sense address
- single-level address
- source address
- specific address
- starting address
- start address
- stop address
- storage address
- store address
- subnet address
- subroutine return address
- symbolic address
- synthetic address
- talker address
- talk address
- transport address
- true address
- two-coordinate address
- two-level address
- unique address
- unload address
- variable address
- vector address
- virtual address
- windowed address
- word address
- zero address
- zero-level addressEnglish-Russian dictionary of computer science and programming > address
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