Group - UNIVAC EXEC 8

The Univac 90/60 series computer was a mainframe class computer manufactured by Sperry Corporation as a competitor to the IBM System 360 series of mainframe computers. The 90/60 used the same instruction set as the 360, although the machines themselves were not compatible with each other; programs written for one would have to be recompiled for the other, as at the time they were developed, the concept of an operating system being portable separately from the computer system it ran on was unheard of.

The Univac 90/70 was a member of Univac’s Series 90 Family of mainframe class computer systems. The low end family members included the 90/25, 90/30 and 90/40 that ran the OS/3 Operating System.

UNIVAC is the name of a business unit and division of the Remington Rand company formed by the 1950 purchase of the Eckert-Mauchly Computer Corporation, founded four years earlier by ENIAC inventors J. Presper Eckert and John Mauchly and the associated line of computers which continues to this day in one of the two such lines offered by Unisys.

The UNIVAC LARC (Livermore Advanced Research Computer) was Remington Rand's first attempt at building a supercomputer. It was designed for multiprocessing with 2 CPUs (called Computers) and an Input/output (I/O) Processor (called the Processor).

The UNIVAC 1100/60, introduced in 1979, continued the venerable UNIVAC 1100 series first introduced in 1962 with the UNIVAC 1107. It was the first 1100 series machine introduced under the Sperry Corporation name.

EXEC I was UNIVAC's original operating system developed for the UNIVAC 1107.

EXEC II was an operating system developed for the UNIVAC 1107 by Computer Sciences Corporation (CSC) while under contract to UNIVAC to develop the machine's COBOL compiler. They developed EXEC II because Univac's EXEC I operating system development was late.

Abstract: Programming guide for univac 1107 computer

Abstract: Programming guide for univac 1107 computer

Abstract: Abstract Analytic phonetic processing in speech recognition usually results in segmentation and labelling and is followed by lexical matching based on sequences of phonetic labels. Segmentation and labelling are impaired by coarticulation effects and imperfect syllabication. Matching is complicated by missed, extraneous, and mislabelled segments. This paper describes an approach to phonetic-based analysis which minimizes the difficulties just mentioned. Phonetic word verification permits an evaluation of phonetic similarity of incoming speech with prestored lexical entries. The comparison is ...

Abstract: Abstract Analytic phonetic processing in speech recognition usually results in segmentation and labelling and is followed by lexical matching based on sequences of phonetic labels. Segmentation and labelling are impaired by coarticulation effects and imperfect syllabication. Matching is complicated by missed, extraneous, and mislabelled segments. This paper describes an approach to phonetic-based analysis which minimizes the difficulties just mentioned. Phonetic word verification permits an evaluation of phonetic similarity of incoming speech with prestored lexical entries. The comparison is ...

Abstract: Abstract Analytic phonetic processing in speech recognition usually results in segmentation and labelling and is followed by lexical matching based on sequences of phonetic labels. Segmentation and labelling are impaired by coarticulation effects and imperfect syllabication. Matching is complicated by missed, extraneous, and mislabelled segments. This paper describes an approach to phonetic-based analysis which minimizes the difficulties just mentioned. Phonetic word verification permits an evaluation of phonetic similarity of incoming speech with prestored lexical entries. The comparison is ...

Abstract: Abstract A method of simultaneously controlling vacuum pressure and substrate bias using only a pressure controller is described for an rf bias sputtering system in which the bias is developed through substrate tuning.

Abstract: Abstract A method of simultaneously controlling vacuum pressure and substrate bias using only a pressure controller is described for an rf bias sputtering system in which the bias is developed through substrate tuning.

Abstract: Abstract Sperry Univac is developing a linguistically oriented computer system which recognizes natural spoken phrases and sentences without requiring extensive adjustments for individual users and without the need for each user to repeat every vocabulary word for system training. The recognition system produces a linguistic description of the unknown utterance by determining its component sound segments. Words from a dictionary, or lexicon, (represented in terms of the same linguistic segments) are then strung together and compared to the analysis segments to determine which syntactically al...

Abstract: Abstract Sperry Univac is developing a linguistically oriented computer system which recognizes natural spoken phrases and sentences without requiring extensive adjustments for individual users and without the need for each user to repeat every vocabulary word for system training. The recognition system produces a linguistic description of the unknown utterance by determining its component sound segments. Words from a dictionary, or lexicon, (represented in terms of the same linguistic segments) are then strung together and compared to the analysis segments to determine which syntactically al...

Abstract: Abstract Sperry Univac is developing a linguistically oriented computer system which recognizes natural spoken phrases and sentences without requiring extensive adjustments for individual users and without the need for each user to repeat every vocabulary word for system training. The recognition system produces a linguistic description of the unknown utterance by determining its component sound segments. Words from a dictionary, or lexicon, (represented in terms of the same linguistic segments) are then strung together and compared to the analysis segments to determine which syntactically al...

Abstract: Abstract This paper will analyse the power requirements of a general computer system as well as a particular Univac product related to distributed communications processing. Some general criteria for power levels and quality will therefore be developed. Utility requirements and governmental codes (UL, CSA, IEC, VDE, etc.) will be discussed. To provide the power level density and quality required by present systems, Univac's power supply facility in Dorval, Canada, has developed a line of standard power supplies. These supplies are of the off-line inverter type and will be presented in some de...

Abstract: Abstract Sperry Univac is developing a linguistically oriented system for locating important words in conversational speech. The system uses acoustic, prosodic, and phonetic analyses to produce a phonetic description of the incoming speech. Next, phonetic dictionary representations of the keywords to be found are compared to all portions of the phonetic analysis. High scoring matches are then verified by aligning prestored spectral patterns with the spectral information found during analysis, and resulting good matches are announced as likely keyword occurrences. Current results are presented...

Abstract: Abstract Sperry Univac is developing a linguistically oriented system for locating important words in conversational speech. The system uses acoustic, prosodic, and phonetic analyses to produce a phonetic description of the incoming speech. Next, phonetic dictionary representations of the keywords to be found are compared to all portions of the phonetic analysis. High scoring matches are then verified by aligning prestored spectral patterns with the spectral information found during analysis, and resulting good matches are announced as likely keyword occurrences. Current results are presented...

Abstract: Abstract Sperry Univac is developing a linguistically oriented system for locating important words in conversational speech. The system uses acoustic, prosodic, and phonetic analyses to produce a phonetic description of the incoming speech. Next, phonetic dictionary representations of the keywords to be found are compared to all portions of the phonetic analysis. High scoring matches are then verified by aligning prestored spectral patterns with the spectral information found during analysis, and resulting good matches are announced as likely keyword occurrences. Current results are presented...

Abstract: Abstract Not Available