University of North Florida
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Contact Info

Stuart Chalk, Ph.D.
Department of Chemistry
University of North Florida
Phone: 1-904-620-1938
Fax: 1-904-620-3535
Email: schalk@unf.edu
Website: @unf

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Miguel Peris

Abbrev:
Peris, M.
Other Names:
Address:
Department of Chemistry, Polytechnic University of Valencia, 46071 Valencia, Spain
Phone:
NA
Fax:
+34-96-3877349

Citations 7

"Distributed Expert System For The Monitoring And Control Of Chemical Processes"
Lab. Rob. Autom. 1998 Volume 10, Issue 3 Pages 163-168
Miguel Peris*, Alberto Bonastre, Rafael Ors

Abstract: After developing a control expert system that has been applied to the monitoring of a flow injection analysis system, the limitations are observed of a monolithic implementation; therefore, a distributed version of this knowledge-based system seemed to be necessary. In this article, a distributed expert system architecture is presented, based on the use of generic nodes connected by means of networks. In this way, one can implement a very flexible control system capable of adapting itself to different situations. At the same time, it is possible to take advantage of the power offered by the new communication technologies in the field of anal. chem.
Expert system Process control

"An Overview Of Recent Expert System Applications In Analytical Chemistry"
Crit. Rev. Anal. Chem. 1996 Volume 26, Issue 4 Pages 219-237
Miguel Peris

Abstract: A review is presented with references to the most important work dealing with the applications of artificial intelligence (expert systems, knowledge-based systems) in both qualitative and quantitative analytical chemistry. Contributions from January 1990 to date are briefly described together with some reviews and monographs on this matter. Topics covered include instrumental analysis, especially spectroscopy and chromatography, data management, chemometrics, process automation, and spectrum interpretation.
Immunoassay Chemometrics Review

"Monitoring Of A Wort Fermentation Process By Means Of A Distributed Expert System"
Chemom. Intell. Lab. Syst. 2000 Volume 50, Issue 2 Pages 235-242
Alberto Bonastre, Rafael Ors and Miguel Peris

Abstract: A distributed expert system has been proposed for the monitoring of a wort fermentation process through the flow injection determination of total acidity, reducing sugars, ethanol and pH. Its configuration is mainly based on the use of distributed nodes connected by means of a network and is capable of adapting itself to different situations. Satisfactory results have been obtained when it has been applied in a brewery plant, important advantages being shown over previously implemented centralized knowledge-based systems.
Expert system Process monitoring

"An Expert System As A Tool For The Specification And Intelligent Control Of A Flow Injection Analysis System"
Chemom. Intell. Lab. Syst. 1993 Volume 21, Issue 2-3 Pages 243-247
M. Perisa,*, A. Maquieiraa, R. Puchadesa, V. Chirivellab, R. Orsb, J. Serranob and A. Bonastreb

Abstract: A conceptual three-level system is described. The highest is represented by the expert system, which passes decisions to and receives information from the middle level. The middle level consists of a set of programs that serve the expert system, and passes orders to and receives results from the FIA system at the lowest level. The user interacts routinely with middle level by passing parameters to it and receiving reports from it. Both a more detailed block structure of the system and a pictorial scheme showing the connections to the different devices are presented, together with the operating flow diagram of the expert system. The performance of the whole system is illustrated by the monitoring of total acidity, pH, reducing sugars and ethanol in a fermentation broth.
Acidity pH Sugars, reducing Ethanol Fermentation broth

"Advanced Automation Of A Flow Injection Analysis System For Quality Control Of Olive Oil Through The Use Of A Distributed Expert System"
Anal. Chim. Acta 2004 Volume 506, Issue 2 Pages 189-195
Alberto Bonastre, Rafael Ors and Miguel Peris

Abstract: A new methodology--based on the combination of flow injection analysis and a distributed expert system--is proposed for the on-line chemical quality control of olive oil. This knowledge-based system is in charge of carrying out the flow injection determination of total acidity, peroxide value, and UV spectrophotometric measurements (K232 and K270), according to EU legislation. On the other hand, the expert system, apart from supervising the correct functioning of the system (devices, clogging, analysis frequency, and so on), performs the definite classification of the analyzed oil by evaluating the oil quality from the values yielded, according to previously established specifications. Satisfactory results have been obtained in the application of this approach to different samples of Spanish olive oil along the storage process. The distributed expert system also allows for the remote control of the analysis process owing to the interconnection of the different nodes by means of a communication network.

"Present And Future Of Expert Systems In Food Analysis"
Anal. Chim. Acta 2002 Volume 454, Issue 1 Pages 1-11
Miguel Peris

Abstract: This paper presents an overview of the most relevant contributions in the field of expert system (ES) applications in chemical analysis of foods, along with a critical discussion of future, would-be developments. It illustrates the possibilities offered as well as the fact that quality control laboratories should be aware of the power of artificial intelligence that modern computer technology affords. It is worth noting that the applications described are straightforward with a certain versatility and can, therefore, be implemented for other analytes and/or food samples. Special attention is devoted to the promising distributed knowledge-based systems due to their potential advantages over the existing centralized approaches, as inferred from a recent example of application to the on-line monitoring of some key chemical parameters in the course of a food production process. Short and middle term predictions concerning the potential of ES in food analysis are also made.

"Advanced Application Of Rule Nets To The Automation Of Chimcal Analysis Systems"
Anal. Chim. Acta 1997 Volume 354, Issue 1-3 Pages 249-253
M. Perisa,*, R. Orsb, A. Bonastreb, P. Gilb and J. Serranob

Abstract: An updated version of a self-developed pack designed for the implementation of a set of rule nets is presented, novelties being referred to the programming language as well as to the structure. The language counts on the use of the so-called 'types of variables' and composed rules; as regards the structure, a higher level language has been utilized with a new graphic interface on Microsoft WINDOWS. The set of rule nets implemented is the basis of an expert system that allows for the control of any process undergoing important variations over the course of time, such as alcoholic fermentation processes.
Neural network