数量级 (数据):修订间差异
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2010年10月5日 (二) 07:08的版本
数量级 |
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单位换算 |
二進制(Binary) | 十進制(Decimal) | 事物 | ||
---|---|---|---|---|
系数 | 术语 | 系数 | 术语 | |
20 | 位 | 100 | bit | 1位 – 0 或 1, 假或真, 低或高 |
1.5位 – 一个三进制位 | ||||
21 | 2位 – 足够唯一确定遗传密码中一个碱基对 | |||
3位 – 八进制中一位数的大小 | ||||
22 | nibble (also spelled nybble) |
4位 – 十六进制中一位数的大小;十进制中使用二进制编码的一位数的大小 | ||
5位 – 用于电传通信的鲍窦码中一个代码点的大小 | ||||
6位 – the size of code points in Univac Fieldata, in IBM "BCD" format, and in Braille. 足够唯一确定遗传密码中一个密码子。 | ||||
7位 – ASCII字符集中代码点的大小
– 存放2位十进制数字的最小长度 | ||||
23 | 字节 | 8 bits – 在许多计算机架构中也称作八字节
– 在8位计算机中等同于一个字(如Apple II, Atari 800, Commodore 64 等) | ||
101 | decabit | 10位 | ||
12位 – Digital Equipment Corporation在1965-1990年生产的PDP-8计算机的字长 | ||||
24 | 16 bits – commonly used in many programming languages, the size of an integer capable of holding 65,536 different values | |||
25 | 32 bits (4 bytes) – size of an integer capable of holding 4,294,967,296 different values | |||
36 bits – size of word on Univac 1100-series computers and Digital Equipment Corporation's PDP-10 | ||||
56 bits (7 bytes) – cipher strength of the DES encryption standard | ||||
26 | 64 bits (8 bytes) – size of an integer capable of holding 18,446,744,073,709,551,616 different values | |||
80 bits (10 bytes) – size of an extended precision floating point number, for intermediate calculations that can be performed in floating point units of most processors of the x86 family | ||||
102 | hectobit | 100 bits | ||
27 | 128 bits (16 bytes) – size of addresses in IPv6, the successor protocol of IPv4 | |||
160 bits – maximum key length of the SHA-1, standard Tiger (hash), and Tiger2 cryptographic message digest algorithms | ||||
28 | 256 bits (32 bytes) – minimum key length for the recommended strong cryptographic message digests 截至2004年[update] | |||
29 | 512 bits (64 bytes) – maximum key length for the standard strong cryptographic message digests in 2004 | |||
103 | kilobit | 1000 bits | ||
210 | kibibit | 1024 bits (128 bytes) | ||
1288 bits – approximate maximum capacity of a standard magnetic stripe card | ||||
211 | 2048 bits (256 bytes) | |||
212 | 4096 bits (512 bytes)
– typical sector size, and minimum space allocation unit on computer storage volumes, with most file systems | |||
4704 bits (588 bytes) – uncompressed single-channel frame length in standard MPEG audio (75 frames per second and per channel), with medium quality 8-bit sampling at 44,100 Hz (or 16-bit sampling at 22,050 Hz) | ||||
8000 bits (103 bytes) – one kilobyte | ||||
213 | kibibyte | 8192 bits (1,024 bytes) – RAM capacity of a Sinclair ZX81. | ||
9408 bits (1,176 bytes) – uncompressed single-channel frame length in standard MPEG audio (75 frames per second and per channel), with standard 16-bit sampling at 44,100 Hz | ||||
104 | 15,360 bits – one screen of data displayed on an 8-bit monochrome text console (80x24) | |||
214 | 16,384 bits (2 kibibytes) – one page of typed text[1], RAM capacity of Nintendo Entertainment System | |||
215 | 32,768 bits (4 kibibytes) | |||
216 | 65,536 bits (8 kibibytes) | |||
105 | 100,000 bits | |||
217 | 131,072 bits (16 kibibytes) – RAM capacity of the smallest Sinclair ZX Spectrum. | |||
160 kilobits – approximate size of this article as of 15 April 2010 | ||||
218 | 262,144 bits (32 kibibytes) | |||
219 | 524,288 bits (64 kibibytes) – RAM capacity of a lot of popular 8-bit Computers like the C-64, Amstrad CPC etc. | |||
106 | megabit | 1,000,000 bits | ||
220 | mebibit | 1,048,576 bits (128 kibibytes) – RAM capacity of popular 8-bit Computers like the C-128, Amstrad CPC etc. | ||
1,978,560 bits – a one-page, standard-resolution black-and-white fax (1728 × 1145 pixels) | ||||
221 | 2,097,152 bits (256 kibibytes) | |||
4,147,200 bits – one frame of uncompressed NTSC DVD video (720 × 480 × 12 bpp Y'CbCr) | ||||
222 | 4,194,304 bits (512 kibibytes) | |||
4,976,640 bits – one frame of uncompressed PAL DVD video (720 × 576 × 12 bpp Y'CbCr) | ||||
8,343,400 bits – one "typical" sized photograph with reasonably good quality (1024 × 768 pixels). | ||||
223 | mebibyte | 8,388,608 bits (1024 kibibytes) | ||
107 | 11,520,000 bits – capacity of a lower-resolution computer monitor (as of 2006), 800 × 600 pixels, 24 bpp | |||
11,796,480 bits – 一個 3.5 英吋 floppy disk 的容量, colloquially known as 1.44 megabyte but actually 1.44 × 1000 × 1024 bytes | ||||
224 | 16,777,216 bits (2 mebibytes) | |||
25 megabits – amount of data in a typical color slide | ||||
225 | 33,554,432 bits (4 mebibytes) – RAM capacity of stock Nintendo 64 | |||
41,943,040 bits (5 mebibytes) – approximate size of the Complete Works of Shakespeare[1] | ||||
55,296,000 bits – capacity of a high-resolution computer monitor as of 2007, 1920 × 1200 pixels, 24 bpp | ||||
50–100 megabits – amount of information in a typical phone book | ||||
226 | ||||
108 | ||||
67,108,864 bit (8 mebibytes) | ||||
227 | 134,217,728 bits (16 mebibytes) | |||
150 megabits – amount of data in a large foldout map | ||||
228 | 268,435,456 (32 mebibytes) | |||
423,360,000 bits: a five-minute audio recording, in CDDA quality | ||||
229 | 536,870,912 bits (64 mebibytes) | |||
109 | gigabit | 1,000,000,000 bits | ||
230 | gibibit | 1,073,741,824 bits (128 mebibytes) | ||
231 | 2,147,483,648 bits (256 mebibytes) | |||
232 | 4,294,967,296 bits (512 mebibytes) | |||
5.45×109 bits (650 mebibytes) – capacity of a regular compact disc | ||||
5.89×109 bits (702 mebibytes) – capacity of a large regular compact disc | ||||
6.4×109 bits – capacity of the human genome (assuming 2 bits for each base pair) | ||||
233 | gibibyte | 8,589,934,592 bits (1024 mebibytes) | ||
1010 | 10,000,000,000 bits | |||
234 | 17,179,869,184 bits (2 gibibytes) | |||
235 | 34,359,738,368 bits (4 gibibytes) | |||
3.76×1010 bits (4.7 gigabytes) – 一個單面單層 DVD 的容量 | ||||
236 | 68,719,476,736 bits (8 gibibytes) | |||
1011 | 100,000,000,000 bits | |||
237 | 137,438,953,472 bits (16 gibibytes) | |||
1.46×1011 bits (17 gigabytes) – 一個雙面雙層 DVD 的容量 | ||||
2.15×1011 bits (25 gigabytes) – capacity of a single-sided, single-layered 12-cm Blu-ray disc | ||||
238 | 274,877,906,944 bits (32 gibibytes) | |||
239 | 549,755,813,888 bits (64 gibibytes) | |||
1012 | terabit | 1,000,000,000,000 bits (125 gigabytes) | ||
240 | tebibit | 1.34×1012 bits – estimated capacity of the Polychaos dubium genome, the largest known genome | ||
1.6×1012 bits (200 gigabytes) – capacity of a hard disk that would be considered average 截至2008年[update] | ||||
241 | 2,199,023,255,552 bits (256 gibibytes) | |||
242 | 4,398,046,511,104 bits (512 gibibytes) | |||
243 | tebibyte | 8,796,093,022,208 bits (1024 gibibytes) | ||
(approximately) 8.97×1012 bits – 截至2010年[update], data of π to the largest number of digits ever calculated (2.7×1012) | ||||
1013 | 10,000,000,000,000 bits (1.25 terabytes) – capacity of a human being's functional memory, according to Raymond Kurzweil in The Singularity Is Near, p. 126 | |||
244 | 17,592,186,044,416 bits (2 tebibytes) | |||
245 | 35,184,372,088,832 bits (4 tebibytes) | |||
246 | 70,368,744,177,664 bits (8 tebibytes) | |||
1014 | 100,000,000,000,000 bits | |||
247 | 140,737,488,355,328 bits (16 tebibytes) | |||
1.5×1014 bits (18.75 terabytes) | ||||
248 | 281,474,976,710,656 bits (32 tebibytes) | |||
249 | 562,949,953,421,312 bits (64 tebibytes) | |||
1015 | petabit | 1,000,000,000,000,000 bits | ||
250 | pebibit | 1,125,899,906,842,624 bits (128 tebibytes) | ||
2.4×1015 bits (300 terabytes) – size of the Internet Archive 截至2004年[update] | ||||
251 | 2,251,799,813,685,248 bits (256 tebibytes) | |||
252 | 4,503,599,627,370,496 bits (512 tebibytes) | |||
8,000,000,000,000,000 bits (1015 bytes) – one petabyte | ||||
253 | pebibyte | 9,007,199,254,740,992 bits (1024 tebibytes) | ||
1016 | 10,000,000,000,000,000 bits | |||
254 | 18,014,398,509,481,984 bits (2 pebibytes) | |||
255 | 36,028,797,018,963,968 bits (4 pebibytes) | |||
4.5×1016 bits (5.625 petabytes) – estimated hard drive space in Google's server farm 截至2004年[update] | ||||
256 | 72,057,594,037,927,936 bits (8 pebibytes) | |||
10 petabytes (1016 bytes) – estimated approximate size of the Library of Congress's collection, including non-book materials, as of 2005[2] | ||||
1017 | 100,000,000,000,000,000 bits | |||
257 | 144,115,188,075,855,872 bits (16 pebibytes) | |||
258 | 288,230,376,151,711,744 bits (32 pebibytes) | |||
259 | 576,460,752,303,423,488 bits (64 pebibytes) | |||
8 ×1017, the storage capacity of the fictional Star Trek character Data | ||||
1018 | exabit | 1,000,000,000,000,000,000 bits | ||
260 | exbibit | 1,152,921,504,606,846,976 bits (128 pebibytes) | ||
1.6×1018 bits (200 petabytes) – total amount of printed material in the world | ||||
261 | 2,305,843,009,213,693,952 bits (256 pebibytes) | |||
262 | 4,611,686,018,427,387,904 bits (512 pebibytes) | |||
263 | exbibyte | 9,223,372,036,854,775,808 bits (1024 pebibytes) | ||
1019 | 10,000,000,000,000,000,000 bits | |||
264 | 18,446,744,073,709,551,616, bits (2 exbibytes) | |||
265 | 36,893,488,147,419,103,232, bits (4 exbibytes) | |||
50,000,000,000,000,000,000 bits (5 exabytes) | ||||
266 | 73,786,976,294,838,206,464, bits (8 exbibytes) | |||
1020 | 100,000,000,000,000,000,000 bits | |||
267 | 147,573,952,589,676,412,928 bits (16 exbibytes) | |||
268 | 295,147,905,179,352,825,856 bits (32 exbibytes) | |||
3.5 × 1020 bits – Increase in information capacity when 1 Joule of energy is added to a heat-bath at 300 K (27°C)[3] | ||||
269 | 590,295,810,358,705,651,712 bits (64 exbibytes) | |||
1021 | zettabit | 1,000,000,000,000,000,000,000 bits | ||
270 | zebibit | 1,180,591,620,717,411,303,424 bits (128 exbibytes) | ||
271 | 2,361,183,241,434,822,606,848 bits (256 exbibytes) | |||
3.4×1021 bits (0.36 zettabytes) – amount of information that can be stored in 1 gram of DNA[4] | ||||
272 | 4,722,366,482,869,645,213,696 bits (512 exbibytes) | |||
273 | zebibyte | 9,444,732,965,739,290,427,392 bits (1024 exbibytes) | ||
1022 | 10,000,000,000,000,000,000,000 bits | |||
1023 | 1.0×1023 bits – Increase in information capacity when 1 Joule of energy is added to a heat-bath at 1 K (-272.15°C)[5] | |||
6.0×1023 bits – Information content of 1 mole (12.01 g) of graphite at 25°C; equivalent to an average of 0.996 bits per atom.[6] | ||||
1024 | 7.3×1024 bits – Information content of 1 mole (18.02 g) of liquid water at 25°C; equivalent to an average of 12.14 bits per molecule.[7] | |||
1025 | 1.1×1025 bits – Entropy increase of 1 mole (18.02 g) of water, on vaporizing at 100°C at standard pressure; equivalent to an average of 18.90 bits per molecule.[8] | |||
1.5×1025 bits – Information content of 1 mole (20.18 g) of neon gas at 25°C and 1 atm; equivalent to an average of 25.39 bits per atom.[9] | ||||
2 150 | 1045 | ~ 1045 bits – The number of bits required to perfectly recreate the average-sized U.S. adult male human being down to the quantum level on a computer is 2.0057742Å~1045 bits of information (See Bekenstein bound for the basis for this calculation). | ||
1058 | ~ 1058 bits – Thermodynamic entropy of the sun[10] (about 30 bits per proton, plus 10 bits per electron). | |||
1069 | ~ 1069 bits – Thermodynamic entropy of the Milky Way Galaxy (counting only the stars, not the black holes within the galaxy) | |||
1077 | 1.5×1077 bits – Information content of a one-solar-mass black hole.[11] | |||
2305 | 1092 | The information capacity of the observable universe, according to Seth Lloyd.[12] |
相關
- 十進制
- 二進制
參考
- ^ 1.0 1.1 A special report on managing information: All too much. The Economist. 2010-02-25 [2010-03-04].
- ^ Hickey, Thom (OCLC Chief Scientist). Entire Library of Congress. Outgoing. June 21, 2005 [2010-05-05].
- ^ J K-1
- ^ http://www.tmrfindia.org/ijcsa/V2I29.pdf
- ^ 1 J K−1. Equivalent to 1/(k ln 2) bits, where k is Boltzmann's constant
- ^ Equivalent to 5.74 J K−1. Standard molar entropy of graphite.
- ^ Equivalent to 69.95 J K−1. Standard molar entropy of water.
- ^ Equivalent to 108.9 J K−1
- ^ Equivalent to 146.33 J K−1. Standard molar entropy of neon. An experimental value, see [1] for a theoretical calculation.
- ^ Given as 1042 erg K-1 in Bekenstein (1973), Black Holes and Entropy, Physical Review D 7 2338
- ^ Entropy = in nats, with for a Schwartzschild black hole. 1 nat = 1/ln(2) bits. See Jacob D. Bekenstein (2008), Bekenstein-Hawking entropy, Scholarpedia.
- ^ Seth Lloyd (2002), Computational capacity of the universe, Physical Review Letters 88 (23):237901.