week 12 the universal representation: the computer and digitalization
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Week 12 The Universal Representation: The Computer and Digitalization. Sources: www.iu.edu/~emusic/361/iuonly/slides/ digital audio. ppt www.cs.virginia.edu/~evans/cs150/classes/class24/lecture24. ppt www. computinghistory museum.org/teaching/.../ ppt lectures/ History . ppt - PowerPoint PPT PresentationTRANSCRIPT
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Week 12
The Universal Representation: The Computer and Digitalization
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Sources:
www.iu.edu/~emusic/361/iuonly/slides/digitalaudio.ppt
www.cs.virginia.edu/~evans/cs150/classes/class24/lecture24.ppt
www.computinghistorymuseum.org/teaching/.../pptlectures/History.ppt
www.educationworld.com/a_lesson/TM/computer%20history1.ppt
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First Computing Machine:Abacus
• 3000 BCE, early form of beads on wires, used in China,…
• From semitic abaq, meaning dust.
• Still in use today
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Mechanical Reasoning: Logic
Aristotle (~350BC): Organon Codify logical deduction with rules of inference (syllogisms)
Every A is a P
X is an A
X is a P
Every human is mortal. Gödel is human.Gödel is mortal.
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Greek Logic• Euclid (~300BC): Elements
– We can reduce Geometry to a few axioms and derive the rest by following rules of – Propositional Logic– Constants: False, True (Binary Logic: Two values)– Symbols0,1– Variables: p, q, r, …– Punctuation: ( )– Connectives:
• (not p), – ( p and q), – ( p or q), – ( p implies q, p only if q, if p then q, conditional), – (p if and only if q)
– Well-formed formula (wff)
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Algorithm (825AD)
Mathematical “Recipe” for solving a class of problems.
Al-Khwārizmī, muslim Persian astronomer and mathematician, wrote a treatise in the arabic language in 825 AD, On Calculation with Hindu–Arabic numeral system.
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BLAISE PASCAL
(1623 - 1662)
In 1642, the French mathematician and philosopher Blaise Pascal invented a calculating device that would come to be called the "Adding Machine".
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BLAISE PASCAL
(1623 - 1662)
Originally called a "numerical wheel calculator" or the "Pascaline", Pascal's invention utilized a train of 8 moveable dials or cogs to add sums of up to 8 figures long. As one dial turned 10 notches - or a complete revolution - it mechanically turned the next dial.
Pascal's mechanical Adding Machine automated the process of calculation. Although slow by modern standards, this machine did provide a fair degree of accuracy and speed.
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Gottfried Wilhelm von LEIBNIZ(1646-1716)
Computing Machine (1679)
Binary Numbers (1701)
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Binary Numbers
1. Computers use Binary Numbers.2. What is a Character? 3. What are the Characters in the English Alphabet?
A, B, C, …., Z (there are 26 of these)4. We combine these Characters to make Words:
CAT, HAT, …5. What are the Characters in the Decimal Number System?
0, 1, 2, 3, 4, 5, 6, 7, 8, 9 (there are how many? 10!)6. We combine these to make Decimal Numbers:
12, 34, … (we add columns of 10, 100, … as needed)7. In the Binary Number System, there are only two characters:
0, 1 …(so we add columns of 2, 4, 8, 16, … as needed)8. Now, Let’s learn how to Match a Decimal Number to a Binary Number…
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Binary Numbers
Decimal Binary10’s 1’s 16’s 8’s 4’s 2’s 1’s 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 2 0 0 0 1 0 0 3 0 0 0 1 1 0 4 0 0 1 0 0 0 5 0 0 1 0 1 0 6 0 0 1 1 0 0 7 0 0 1 1 1 0 8 0 1 0 0 0 0 9 0 1 0 0 1
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• first stored program - metal cards
• first computer manufacturing
• still in use today!
Jacquard Loom (1801)Mechanical Computer
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Charles Babbage
• Difference Engine c.1822 – huge calculator, never finished
• Analytical Engine 1833– could store numbers
– calculating “mill” used punched metal cards for instructions
– powered by steam!
– accurate to six decimal places
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Importance of the Difference Engine
• 1. First attempt to devise a computing machine that was automatic in action and well adapted, by its printing mechanism, to a mathematical task of considerable importance.
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Ada Augusta Byron, 1815-1852
• born on 10 December 1815.• named after Byron's half sister,
Augusta, who had been his mistress.
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Ada Augusta Byron, Countess of Lovelace
1842• Translated Menebrea’s paper into English
• Taylor’s: “The editorial notes are by the translator, the Countess of Lovelace.”
• Footnotes enhance the text and provide examples of how the Analytical Engine could be used, i.e., how it would be programmed to solve problems!
• First Algorithm
• “world’s first programmer”
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Logic
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Mathematics and Mechanical Reasoning
• Newton (1687): Philosophiæ Naturalis Principia Mathematica – We can reduce the motion of objects (including
planets) to following axioms (laws) mechanically
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Mechanical Reasoning
• Late 1800s – many mathematicians working on codifying “laws of reasoning”– George Boole, Laws of Thought– Augustus De Morgan
• Whitehead and Russell, 1911-1913– Principia Mathematica– Attempted to formalize all mathematical
knowledge about numbers and sets
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All true statements about numbers
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Perfect Axiomatic System
Derives all true statements, and no false
statements starting from a finite number of axioms
and following mechanical inference rules.
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Incomplete Axiomatic System
Derives some, but not all true
statements, and no false statements starting from a
finite number of axioms and following mechanical
inference rules.
incomplete
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Inconsistent Axiomatic System
Derives all true
statements, and some false statements starting from a
finite number of axioms and following mechanical
inference rules. some false
statements
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Principia Mathematica• Whitehead and Russell (1910– 1913)
– Three Volumes, 2000 pages
• Attempted to axiomatize mathematical reasoning– Define mathematical entities (like numbers) using
logic– Derive mathematical “truths” by following
mechanical rules of inference– Claimed to be complete and consistent
• All true theorems could be derived
• No falsehoods could be derived
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Russell’s Paradox
• Some sets are not members of themselves– set of all Even Numbers
• Some sets are members of themselves– set of all things that are non-Even Numbers
• S = the set of all sets that are not
members of themselves
• Is S a member of itself?
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Russell’s Paradox
• S = set of all sets that are not members of themselves
• Is S a member of itself?– If S is an element of S, then S is a member of
itself and should not be in S.– If S is not an element of S, then S is not a
member of itself, and should be in S.
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Epimenides Paradox
Epidenides (a Cretan):
“All Cretans are liars.”
Equivalently:
“This statement is false.”
Russell’s types can help with the set paradox, but not with these.
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Kurt Gödel• Born 1906 in Brno (now
Czech Republic, then Austria-Hungary)
• 1931: publishes Über formal unentscheidbare Sätze der Principia Mathematica und verwandter Systeme (On Formally Undecidable Propositions of Principia Mathematica and Related Systems)
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Gödel’s Solution
All consistent axiomatic formulations of number theory include undecidable propositions.
undecidable – cannot be proven either true or false inside the system.
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Gödel’s Theorem
In the Principia Mathematica system, there are statements that cannot be proven either true or false.
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Gödel’s Theorem
In any interesting rigid system, there are statements that cannot be proven either true or false.
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Proof – General Idea
• Theorem: In the Principia Mathematica system, there are statements that cannot be proven either true or false.
• Proof: Find such a statement
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Gödel’s Statement
G: This statement does nothave any proof in thesystem of PrincipiaMathematica.
G is unprovable, but true!
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Gödel’s Proof IdeaG: This statement does not have any proof in the system of PM.
If G is provable, PM would be inconsistent.
If G is unprovable, PM would be incomplete.
Thus, PM cannot be complete and consistent!
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Alan Turing (1912-1954)
• On Computable Numbers with an application to the Entscheidungs-problem
• (1936)• Code breaking: Enigma
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Turing Machines, 1936Universal Computing machine.Precise vocabulary: 0, 1Class of primitiveoperations:
ReadWriteShift LeftShift Right
Well Formed SequencesCorrectnessCompletenessEquivalenceComplexity
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http://aturingmachine.com/
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Herman Hollerith (1860-1929)
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Herman Hollerith• Born: February 29, 1860
– Civil War: 1861-1865
• Columbia School of Mines (New York)
• 1879 hired at Census Office
• 1882 MIT faculty (T is for technology!)
• 1883 St. Louis (inventor)
• 1884 Patent Office (Wash, DC)
• 1885 “Expert and Solicitor of Patents”
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Census
• Article I, Section 2: Representatives and direct Taxes shall be apportioned among the several states...according to their respective numbers...(and) every ...term of ten years
• 1790: 1st US census
• Population: 3,929,214
• Census Office
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Population Growth:
• 1790 4 million
• 1840 17 million
• 1870 40 million
• 1880 50 million
fear of not being able to enumerate the census in the 10 intervening years
• 1890 63 million
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Computing Tabulating Recording Company,(C-T-R)
• 1911: Charles Flint – Computing Scale Company
(Dayton, OH)– Tabulating Machine
Company, and– International Time
Recording Company (Binghamton, NY)
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•IBM (1924)• Thomas J. Watson
(1874-1956)
hired as first president
• In1924, Watson renames CTR as International Business Machines
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Vacuum Tubes - 1941 - 1956
• First Generation Electronic Computers used Vacuum Tubes
• Vacuum tubes are glass tubes with circuits inside.
• Vacuum tubes have no air inside of them, which protects the circuitry.
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HOWARD AIKEN
(1900 - 1973)
Aiken thought he could create a modern and functioning model of Babbage's Analytical Engine.
He succeeded in securing a grant of 1 million dollars for his proposed Automatic Sequence Calculator; the Mark I for short. From IBM.
In 1944, the Mark I was "switched" on. Aiken's colossal machine spanned 51 feet in length and 8 feet in height. 500 meters of wiring were required to connect each component.
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HOWARD AIKEN
The Mark I did transform Babbage's dream into reality and did succeed in putting IBM's name on the forefront of the burgeoning computer industry. From 1944 on, modern computers would forever be associated with digital intelligence.
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ENIAC
1946
Electronic Numerical Integrator And Computer
Under the leadership of J. Presper Eckert (1919 - 1995) and John W. Mauchly (1907 - 1980) the team produced a machine that computed at speeds 1,000 times faster than the Mark I was capable of only 2 years earlier.
Using 18,00-19,000 vacuum tubes, 70,000 resistors and 5 million soldered joints this massive instrument required the output of a small power station to operate it.
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ENIAC at Moore School, University of Pennsylvania
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Early Thoughts about Stored Program Computing
• January 1944 Moore School team thinks of better ways to do things; leverages delay line memories from War research
• September 1944 John von Neumann visits – Goldstine’s meeting at Aberdeen Train Station
• October 1944 Army extends the ENIAC contract to include research on the EDVAC and the stored-program concept
• Spring 1945 ENIAC working well• June 1945 First Draft of a Report on the EDVAC:
Electronic Discrete Variable Automatic Computer
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First Draft Report (June 1945)
• John von Neumann prepares a report on the EDVAC which identifies how the machine could be programmed (unfinished very rough draft)– academic: publish for the good of science– engineers: patents, patents, patents
• von Neumann never repudiates the myth that he wrote it; most members of the ENIAC team ontribute ideas
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Manchester Mark I (1948)
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Grace Hopper
• Programmed UNIVAC• Recipient of Computer
Science’s first “Man of the Year Award”
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First Computer Bug
• Relay switches part of computers
• Grace Hopper found a moth stuck in a relay responsible for a malfunction
• Called it “debugging” a computer
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As We May Think (1945)
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TRANSISTOR
1948
In the laboratories of Bell Telephone, John Bardeen, Walter Brattain and William Shockley discovered the "transfer resistor"; later labelled the transistor.
Advantages:
increased reliability
1/13 size of vacuum tubes
consumed 1/20 of the electricity of vacuum tubes
were a fraction of the cost
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TRANSISTOR
1948
This tiny device had a huge impact on and extensive implications for modern computers. In 1956, the transistor won its creators the Noble Peace Prize for their invention.
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Logic
Turing Test (1950)
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The First Microprocessor – 1971
• The 4004 had 2,250 transistors
• four-bit chunks (four 1’s or 0’s)
• 108Khz
• Called “Microchip”
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Xerox Parc (1970)
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ALTAIR
1975
The invention of the transistor made computers smaller, cheaper and more reliable. Therefore, the stage was set for the entrance of the computer into the domestic realm. In 1975, the age of personal computers commenced. Under the leadership of Ed Roberts the Micro Instrumentation and Telemetry Company (MITS) wanted to design a computer 'kit' for the home hobbyist.
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ALTAIR 1975
Based on the Intel 8080 processor, capable of controlling 64 kilobyes of memory, the MITS Altair - as the invention was later called - was debuted on the cover of the January edition of Popular Electronics magazine.Presenting the Altair as an unassembled kit kept costs to a minimum. Therefore, the company was able to offer this model for only $395. Supply could not keep up with demand.
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ALTAIR
1975
ALTAIR FACTS:No KeyboardNo Video DisplayNo Storage Device
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Apple (1976)
IBM's major competitor was a company lead by Steve Wozniak and Steve Jobs; the Apple Computer Inc. The "Lisa" was the result of their competitive thrust. This system differed from its predecessors in its use of a "mouse" - then a quite foreign computer instrument - in lieu of manually typing commands. However, the outrageous price of the Lisa kept it out of reach for many computer buyers.
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Apple
Apple's brainchild was the Macintosh. Like the Lisa, the Macintosh too would make use of a graphical user interface. Introduced in January 1984 it was an immediate success. The GUI (Graphical User Interface) made the system easy to use.
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IBM (PC)
1981
On August 12, 1981 IBM announced its own personal computer. Using the 16 bit Intel 8088 microprocessor, allowed for increased speed and huge amounts of memory. Unlike the Altair that was sold as unassembled computer kits, IBM sold its "ready-made" machine through retailers and by qualified salespeople.
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IBM (PC)
1981
To satisfy consumer appetites and to increase usability, IBM gave prototype IBM PCs to a number of major software companies.For the first time, small companies and individuals who never would have imagined owning a "personal" computer were now opened to the computer world.
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MICROSOFT (PC)
1983
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MACINTOSH
(1984)
The Apple Macintosh debuts in 1984. It features a simple, graphical interface, uses the 8-MHz, 32-bit Motorola 68000 CPU, and has a built-in 9-inch B/W screen.
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Digitization/ Binary Numbers
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Analog Representations of Sound
Magnified phonograph grooves, viewed from above:
The shape of the grooves encodes the continuously varying audio signal.
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Analog to Digital Recording Chain
ADC
Continuously varying electrical energy is an analog of the sound pressure wave.
Microphone converts acoustic to electrical energy. It’s a transducer.
ADC (Analog to Digital Converter) converts analog to digital electrical signal.Digital signal transmits binary numbers.
DAC (Digital to Analog Converter) converts digital signal in computer to analog for your headphones.
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Analog versus Digital
AnalogContinuous signal that mimics shape of acoustic sound pressure wave
DigitalStream of discrete numbers that represent instantaneous amplitudes of analog signal, measured at equally spaced points in time.
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Analog to Digital Conversion
Instantaneous amplitudes of continuous analog signal, measured at equally spaced points in time.
A series of “snapshots”
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[a.k.a. “sample word length,” “bit depth”]Precision of numbers used for measurement: the more bits, the higher the resolution.
Example: 16 bit
Analog to Digital Overview
Sampling RateHow often analog signal is measured
Sampling Resolution
[samples per second, Hz]Example: 44,100 Hz
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Sampling Rate
Nyquist Theorem:Sampling rate must be at least twice as high as the highest frequency you want to represent.
Determines the highest frequency that you can represent with a digital signal.
Capturing just the crest and trough of a sine wave will represent the wave exactly.
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Aliasing
What happens if sampling rate not high enough? A high frequency signal
sampled at too low a rate
looks like …
… a lower frequency signal.
That’s called aliasing or foldover. An ADC has a low-pass anti-aliasing filter to prevent this.
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Common Sampling Rates
Sampling Rate Uses
44.1 kHz (44100) CD, DAT
48 kHz (48000) DAT, DV, DVD-Video
96 kHz (96000) DVD-Audio
22.05 kHz (22050) Old samplers
Most software can handle all these rates.
Which rates can represent the range of frequencies audible by (fresh) ears?
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3-bit Quantization
A 3-bit binary (base 2) number has 23 = 8 values.
0
1
2
3
4
5
6
7
A rough approximation
Am
plit
ud
e
Time — measure amp. at each tick of sample clock
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4-bit Quantization
A 4-bit binary number has 24 = 16 values.
0
2
4
6
8
10
12
14
Am
plit
ud
e
A better approximation
Time — measure amp. at each tick of sample clock
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Quantization Noise
Round-off error: difference between actual signal and quantization to integer values…
Random errors: sounds like low-amplitude noise
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The Digital Audio Stream
It’s just a series of sample numbers, to be interpreted as instantaneous amplitudes: one for every tick of the sample clock.
This is what appears in a sound file, along with a header that indicates the sampling rate, bit depth and other things.
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Common Sampling Resolutions
Word length Uses
8-bit integer Low-res web audio
16-bit integer CD, DAT, DV, sound files
24-bit integer DVD-Video, DVD-Audio
32-bit floating point Software (usually only for internal representation)
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FIRST GENERATION
(1945-1956) First generation computers were characterized by the fact that operating instructions were made-to-order for the specific task for which the computer was to be used. Each computer had a different binary-coded program called a machine language that told it how to operate. This made the computer difficult to program and limited its versatility and speed. Other distinctive features of first generation computers were the use of vacuum tubes (responsible for their breathtaking size) and magnetic drums for data storage.
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SECOND GENERATION
(1956-1963) Throughout the early 1960's, there were a number of commercially successful second generation computers used in business, universities, and government from companies such as Burroughs, Control Data, Honeywell, IBM, Sperry-Rand, and others. These second generation computers were also of solid state design, and contained transistors in place of vacuum tubes.
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SECOND GENERATION
(1956-1963) They also contained all the components we associate with the modern day computer: printers, tape storage, disk storage, memory, operating systems, and stored programs. One important example was the IBM 1401, which was universally accepted throughout industry, and is considered by many to be the Model T of the computer industry. By 1965, most large business routinely processed financial information using second generation computers.
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THIRD GENERATION
(1965-1971)
Though transistors were clearly an improvement over the vacuum tube, they still generated a great deal of heat, which damaged the computer's sensitive internal parts. The quartz rock eliminated this problem. Jack Kilby, an engineer with Texas Instruments, developed the integrated circuit (IC) in 1958. The IC combined three electronic components onto a small silicon disc, which was made from quartz. Scientists later managed to fit even more components on a single chip, called a semiconductor.
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THIRD GENERATION
(1965-1971)
As a result, computers became ever smaller as more components were squeezed onto the chip. Another third-generation development included the use of an operating system that allowed machines to run many different programs at once with a central program that monitored and coordinated the computer's memory.
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FOURTH GENERATION
(1971-Present) In 1981, IBM introduced its personal computer (PC) for use in the home, office and schools. The 1980's saw an expansion in computer use in all three arenas as clones of the IBM PC made the personal computer even more affordable. The number of personal computers in use more than doubled from 2 million in 1981 to 5.5 million in 1982.
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FOURTH GENERATION
(1971-1990) Ten years later, 65 million PCs were being used. Computers continued their trend toward a smaller size, working their way down from desktop to laptop computers (which could fit inside a briefcase) to palmtop (able to fit inside a breast pocket). In direct competition with IBM's PC was Apple's Macintosh line, introduced in 1984. Notable for its user-friendly design, the Macintosh offered an operating system that allowed users to move screen icons instead of typing instructions
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Contemporary Computers
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Logic
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Robotics and Automation• Both involve: computers, physical world, geometry
• Both engage many disciplines
• “robota” coined in 1920 (Capek)– Emphasizes unpredictable environments like homes, undersea
• “automation” coined in 1948 (Ford Motors)– Emphasizes predictable environments like factories, labs
robotics automation
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Short Films on Computing
Logic by Machine (Computer and the Mind of Man)
http://www.archive.org/details/logic_by_machine_1 14 min
http://www.archive.org/details/logic_by_machine_2 15 min
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Lev Manovich on New Media
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What is New Media ?
New media are often defined as digital/computational. I'd like to explore an alternate definition where digital/computational media are one example of a broader class of "New" media. Here's a sketch of theargument:
1. medium: from latin: "medius": intervening element an element that facilitates transformation from A to B eg, change in form: clay, paint, plastic, ... special case: an element that facilitates communication between A and B. eg. printing press,, radio, internet, ... thus: a medium is an agent for transformation.
2. consider two classes of medium: singular: can be used once: eg, paint, thermoset polymers reconfigurable: can be reused: eg, radio, thermoplastic polymers (plastics)
3. reconfigurable media are essentially flexible, available for use (cf. Bestand, Gestell). ie: reconfigurable media are tranformable agents for transformation. (doubly transformative)
4. proposal: define "new" media as reconfigurable media eg, new media are tranformable agents for transformation. (always available, doubly transformative, postmodern technology) examples: computers, the intert, nanotechnology, stem cells, (includes digital/computational but is much broader) We might define New Media as "Means without Ends".
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New Media Initiative
Art/Design
Humanities
Technology
Rhetoric
Philosophy
BAMPFA
Art History
Film Studies
EECS
IEOR
Public Health
Journalism
Architecture
Music
Art Practice
iSchool
ME
BioE
Theater
Education
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Mission
To critically analyze and help shape developments in new media from para-disciplinary and global perspectives that emphasize humanities and the public interest.
bcnm.berkeley.edu
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BIBLIOGRAPHY
Information was gathered from the following sites:
http://www.pbs.org/nerds/timeline/micro.html (Triumph Of The Nerds)http://www.digitalcentury.com/encyclo/update/comp_hd.html (Digital Century)http://humlink.humanities.mcmaster.ca/~dalberto/comweb.htm (History of Computers)
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FIFTH GENERATION
(Future)
Many advances in the science of computer design and technology are coming together to enable the creation of fifth-generation computers. Two such engineering advances are parallel processing, which replaces von Neumann's single central processing unit design with a system harnessing the power of many CPUs to work as one. Another advance is superconductor technology, which allows the flow of electricity with little or no resistance, greatly improving the speed of information flow.
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FIFTH GENERATION
(Future)
Computers today have some attributes of fifth generation computers. For example, expert systems assist doctors in making diagnoses by applying the problem-solving steps a doctor might use in assessing a patient's needs. It will take several more years of development before expert systems are in widespread use.