Chemical Information Bulletin, Volume 41, Number 2, Summer 1989 Page: 38
52 p. ; 28 cm.View a full description of this periodical.
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sorption spectra, ionization pKa's and ester
hydrolysis will be presented.
11:10 AM
17. EXPERT SYSTEM PREDICTS AQUATIC TOXICITY
FROM CONTAMINANT CHEMIAL STRUCTURE.
James P. Hickey, Andrew Aldridge, Dora R. May
Passino, Anthony M. Frank. National Fisheries
Research Center-Great Lakes, U.S. Fish and
Wildlife Service, 1451 Green Road, Ann Arbor, Ml
48105.
The National Fisheries Research Center-Great
Lakes has developed an interactive computer program
that recognizes the structure of an organic
molecule and predicts its acute toxicity to four
representative aquatic species. A user inputs a standard
chemical notation known as a SMILES string,
from which the expert system software, written in the
LISP language, recognizes the structure of an organic
molecule. The program identifies the basic skeletal
structures (rings and/or chains) and all other substituent
groups and uses a knowledge base of rules to
generate values for four solvatochromic parameters
related to chemical structure. Regression equations
then relate these parameters to the log10 of the toxicity
(EC50 and LC50) for a particular species to predict
the toxicity and give the 95% confidence intervals.
This system is designed for use on an IBM-compatible
personal computer (XT, AT) by personnel with
minimal toxicology background to predict the toxicity
of chemicals as part of contaminant hazard assessment
and for rapid screening of potential chemical
hazards prior to conducting laboratory of field
investigations.
11:30 AM
18. A CITIZEN'S HELPER FOR CAMEO INFORMATION.
W. James Hadden, Jr., Intelligent Advisors,
Inc., Austin, TX 78703.
The Superfund reauthorization requires that volumnious
information concerning hazardous chemical
be reported. The CAMEO Information System has
been developed for EPA to aid in organizing this information
and in preparing and carrying out plans for responses
to chemical emergencies. The legislation
also grants citizens access to information about
chemicals manufactured, used, or stored in their
communities. This paper describes an adjunct to the
CAMEO system that can be used by interested citizens
to learn; what chemical are stored in a chosen
neighborhood; what facilities have reported use orstorage of listed hazardous chemicals; which chemicals
present in the community represent threats to
life or health (such as carcinogens, teratogens, or
toxics); what information about the health effects of
a particular chemical are presented in CAMEO. The
38 CHEMICAL INFORMATION BULLETINHelper can be extremely beneficial to interested
citizens because it obviates the need to learn the
complexities of CAMEO. It also makes the interaction
with CAMEO efficient by focussing on the topics
most likely to be interesting to citizens. (This work
supported in part by The Bauman Family
Foundation.)
2:00 PM
19. PRODUCTION SYSTEM KNOWLEDGE REPRESENTATION
FOR INCINERATOR PROCESS CONTROL.
Chid Subramanian, Nitin S. Pandit, Roy F.
Weston, Inc, 955 L'Enfant Plaza SW, Washington,
DC 20024; Sunggyu Lee, Department of Chemical
Engineering, University of Akron, Akron, OH
44325.
One method of expediting the permitting of hazardous
waste incinerator is by improving safety
through better process control, thereby also
assisting the public in cultivating an accurate perception
of the reliability of the process. Design of a conventional
process control system requires a complete,
mathematical model for the process. Often it is
impossible to develop a generic process model for a
system like the mobile hazardous waste incinerator
due to the widely varying and uncertain nature of the
input. A comparison of approaches show that several
enhancements can be made to the system using new
artificial intelligence (Al) techniques for better process
control. The Al approach based on heuristics
derived from the experts, offers an appropriate problem
solving paradigm for an incinerator process control
system. The first prototype, developed using a
rule-based approach, resulted from an examination of
various knowledge representation strategies and the
reasons behind the choice of a production system architecture
for the incinerator process control system.
2:20 PM
20. AN EXPERT SYSTEM TO DIAGNOSE PERFORMANCE
LIMITING FACTORS AT PUBLICLY OWNED
TREATMENT WORKS. Linda Berkman, Keith
Law, and Mark Lennon, Eastern Research Group,
Inc., 6 Whittemore Street, Arlington, MA 02174.
Approximately two-thirds of the nation's operating
Publicly Owned Treatment Works (POTWs) have
effluent quality of public health problems and it has
been estimated that $36.2 billion would be required to
address these problems. This paper introduces the
Comprehensive Performance Evaluation Expert
System (CPE-EX), a diagnostic expert system based
on an economic, non-construction oriented approach
for optimizing plant performance. CPE-EX represents
a joint effort between the Environmental ProtectionAgency and Eastern Research Group, Inc. CPE-EX
assists evaluators in recognizing plant performance
problems by modeling the actual solution strategy
employed by experts concerned with diagnosing
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American Chemical Society. Division of Chemical Information. Chemical Information Bulletin, Volume 41, Number 2, Summer 1989, periodical, Summer 1989; Philadelphia, Pennsylvania. (https://digital.library.unt.edu/ark:/67531/metadc5659/m1/40/: accessed April 23, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; .