Artificial intelligence in the personal computer environment, today and tommorrow (panel session)

A computerized infrared interpreter has been developed on an IBM personal computer (PC) running under the Microsoft disk operating system (DOS). Based on the original Merck Sharp & Dhome Research Laboratory Program for the Analysis of InfRared Spectra (PAIRS), this infrared interpreter, PC PAIRS+, is capable of analyzing infrared spectra measured from a wide variety of spectrophotometers. Modifications to PAIRS now allow the application of both artificial intelligence and library searching techniques in the program. A new algorithm has been devised to combine the results from the library searching and the PAIRS program to enhance the dependability of interpretational data. The increased capability of this infrared interpreter along with its applicability on a personal computer results in a powerful, general-purpose, and easy-to-use infrared interpretation system. Applications of PC PAIRS+ on petrochemical samples are described.

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Study of Multimedia Delivery over Software Defined Networks

Network Protocols and Algorithms ◽

10.5296/npa.v7i4.8794 ◽

2016 ◽

Vol 7 (4) ◽

pp. 37 ◽

Cited By ~ 15

Author(s):

Jose Miguel Jimenez ◽

Oscar Romero ◽

Albert Rego ◽

Avinash Dilendra ◽

Jaime Lloret

Keyword(s):

Artificial Intelligence ◽

Personal Computer ◽

Network Protocols ◽

Performance Comparison ◽

Distributed Artificial Intelligence ◽

Software Defined Networks ◽

Multimedia Delivery ◽

Real Network ◽

Multimedia Streams ◽

The Difference

Software Defined Networks (SDN) have become a new way to make dynamic topologies. They have great potential in both the creation and development of new network protocols and the inclusion of distributed artificial intelligence in the network. There are few emulators, like Mininet, that allow emulating a SDN in a single personal computer, but there is lack of works showing its performance and how it performs compared with real cases. This paper shows a performance comparison between Mininet and a real network when multimedia streams are being delivered. We are going to compare them in terms of consumed bandwidth (throughput), delay and jitter. Our study shows that there are some important differences when these parameters are compared. We hope that this research will be the basis to show the difference with real deployments when Mininet is used.

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Kraepelin: an expert system for the diagnosis of Obsessive - Compulsive Disorders

European Psychiatry ◽

10.1017/s0924933800002583 ◽

1991 ◽

Vol 6 (4) ◽

pp. 171-175 ◽

Cited By ~ 4

Author(s):

M Roca-Bennasar ◽

A Garcia-Mas ◽

N Llaneras ◽

J Blat ◽

P Roca

Keyword(s):

Artificial Intelligence ◽

Differential Diagnosis ◽

Expert System ◽

Natural Language ◽

Personal Computer ◽

Clinical History ◽

User Acceptance ◽

Obsessive Compulsive ◽

Obsessive Compulsive Disorders ◽

Compulsive Disorders

SummaryWe present the construction of an expert system (ES) for the diagnosis of Obsessive-Compulsive Disorders (OCD). It concerns an artificial intelligence tool, in Lisp language compatible with any personal computer (PC) with a hard disk. The ES asks the user 50 questions in natural language, on the patient or on a clinical history. It is provided with 115 rules of reasoning. Using single or multivaluate variables, the ES reaches the diagnosis of the Obsessive-Compulsive Disorders or the recommendations of differential diagnosis with related patterns or involucred with obsessive pathology: phobic, affective, schizophrenic and Gilles de la Tourette disorders. Finally, the perspectives for the utilisation of the ES in psychopathology are disscussed, in conjunction with the 2 serious problems created, design difficulty and user acceptance.

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Applicability of artificial intelligence languages to solving the scattering and diffraction problems using a personal computer

10.1109/aps.1989.134795 ◽

2003 ◽

Author(s):

R.M. Jha ◽

S.A. Bokhari ◽

V. Sudhakar ◽

P.R. Mahapatra

Keyword(s):

Artificial Intelligence ◽

Personal Computer

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Desktop Generation and Analysis of Spectra

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100134132 ◽

1990 ◽

Vol 48 (2) ◽

pp. 108-109

Author(s):

C.R. Swyt ◽

C.E. Fiori

Keyword(s):

Energy Loss ◽

Spectral Data ◽

Electron Energy ◽

Personal Computer ◽

Physical Processes ◽

Experimental Conditions ◽

Joint Project ◽

X Ray ◽

Computer Environment ◽

Electron Energy Loss

The computer environment which allows the analyst to interact with a program by means of windows, dialogs, pull-down menus and check boxes is probably the most comfortable to the largest number of users. This environment is becoming available to both x-ray and electron energy loss analysts in commercial products and in programs written by analysts in the field. One such program for a personal computer has been under developement by the authors as a joint project at the NIH and the NIST. This program not only enables the analyst to process and display spectral data from electron column instruments but also provides the analyst the additional powerful capability to model the physical processes involved in the generation of an x-ray spectrum. The procedure to emulate the experimental environment and specimen to generate a series of spectra reflecting the relevant physics and statistics was previously described in some detail in terms of the application to estimating detection limits under proposed experimental conditions [1].

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Recommended standard for seismic (/radar) data files in the personal computer environment

Geophysics ◽

10.1190/1.1442942 ◽

1990 ◽

Vol 55 (9) ◽

pp. 1260-1271 ◽

Cited By ~ 7

Author(s):

S. E. Pullan

Keyword(s):

Personal Computer ◽

Data File ◽

Radar Data ◽

Small Computer ◽

File Format ◽

Shallow Seismic ◽

Computer Environment ◽

Data Files

This paper is the result of the work of a subcommittee of SEG’s Engineering and Groundwater Geophysics Committee. It recommends a data file format for raw or processed shallow seismic or digital radar data in the small computer environment. It is recommended that this format be known as the SEG-2 format.

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