An Expert System for Assessment of the State of Cognitive Functions Using a Fuzzy Hybrid Knowledge Base

2021 ◽  
Author(s):  
N. A. Korenevskiy ◽  
S. N. Rodionova ◽  
N. L. Korzhuk ◽  
V. V. Aksenov
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
Cognitive Functions ◽  
The State ◽  
Hybrid Knowledge

Interstrat-An Expert System to Help Identify Interstratified Clay Minerals from Powder XRD Data: I. Description of the Program

Clay Minerals ◽  
1993 ◽  
Vol 28 (3) ◽  
pp. 445-460 ◽  
Author(s):  
L. A. J. Garvie
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
Clay Minerals ◽  
Clay Mineral ◽  
Mixed Layer ◽  
The State ◽  
Powder Xrd ◽  
Group Level

AbstractThe INTERSTRAT program has been specifically designed to aid the geologist in the identification of the phyllosilicates from powder XRD data. The program achieves this by comparing the experimental00ld-spacings with a knowledge base of diffraction parameters; a set of likely solutions is then displayed. The method employed by INTERSTRAT is analogous to that used by the clay mineralogist whereby the clays are initially identified down to the group level from the d(OOl) data alone. This procedure also utilises thed-spacings collected from clays that have been subjected to standard clay mineral treatments, i.e. glycolation and heating to 300~ and 500~ One of the most important features of INTERSTRAT is its knowledge base of d-spacings for the interstratified clay minerals in which calculatedd(00l)spacings for an individual mixed-layer clay are recorded with respect to its Reichweite, the state under which the d-spacings were collected and the percentage of the mixed-layer components.

Associations of separate working memory parameters with apolipoprotein E gene polymorphism in Siberian adolescents: a population study

2020 ◽  
pp. 43-45
Author(s):  
А.В. Суханов ◽  
А.А. Гуражева ◽  
Д.В. Денисова ◽  
В.Н. Максимов
Keyword(s):  
Central Nervous System ◽  
Working Memory ◽  
Cognitive Functions ◽  
The State ◽  
Apoe Gene ◽  
Adolescent Population ◽  
Apolipoprotein E Gene ◽  
Negative Effect ◽  
The Central Nervous System ◽  
E4 Allele

Ген APOE - это один из наиболее известных генов, ассоциированных с развитием как сердечно-сосудистых, так и нейродегенеративных заболеваний центральной нервной системы, сопровождающихся нарушением когнитивных функций (КФ). В ходе настоящего исследования изучены ассоциации аллелей гена APOE с нарушением КФ у подростков г. Новосибирска. Состояние КФ было оценено у 231 мальчика (42,1%) и у 318 девочки (57,9%). Их средний возраст составил 15,66 ± 0,9 года. Выявлено, что наличие аллеля Е4 оказывает негативное влияние на состояние рабочей памяти уже в подростковом возрасте. The APOE gene is one of the most famous genes associated with the development of both cardiovascular diseases and neurodegenerative diseases of the central nervous system, accompanied by impaired cognitive functions. In the course of this study, the associations of APOE gene alleles with cognitive functions violation in the adolescent population of Novosibirsk were studied. The state of cognitive functions was evaluated in 231 boys (42.1%) and 318 girls (57.9%). Their average age was 15.66 ± 0.9 years. It was revealed that the presence of the E4 allele of the APOE gene has a negative effect on the state of working memory even in adolescence.

An expert system for real-time well field management

2012 ◽  
Vol 12 (5) ◽  
pp. 699-706 ◽  
Author(s):  
B. S. Marti ◽  
G. Bauser ◽  
F. Stauffer ◽  
U. Kuhlmann ◽  
H.-P. Kaiser ◽  
...  
Keyword(s):  
Drinking Water ◽  
Expert System ◽  
Knowledge Base ◽  
Real Time ◽  
Urban Areas ◽  
Industrial Sites ◽  
Water Wells ◽  
Well Field ◽  
Field Management ◽  
Historical Management

Well field management in urban areas faces challenges such as pollution from old waste deposits and former industrial sites, pollution from chemical accidents along transport lines or in industry, or diffuse pollution from leaking sewers. One possibility to protect the drinking water of a well field is the maintenance of a hydraulic barrier between the potentially polluted and the clean water. An example is the Hardhof well field in Zurich, Switzerland. This paper presents the methodology for a simple and fast expert system (ES), applies it to the Hardhof well field, and compares its performance to the historical management method of the Hardhof well field. Although the ES is quite simplistic it considerably improves the water quality in the drinking water wells. The ES knowledge base is crucial for successful management application. Therefore, a periodic update of the knowledge base is suggested for the real-time application of the ES.

Creating a Knowledge Base for a Mivar Expert System for the Diagnosis of Diabetes Mellitus

2021 ◽  
Vol 54 (6) ◽  
pp. 421-424
Author(s):  
H. Kim ◽  
D. A. Chuvikov ◽  
D. V. Aladin ◽  
O. O. Varlamov ◽  
L. E. Adamova ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Expert System ◽  
Knowledge Base ◽  
Diagnosis Of Diabetes Mellitus

scholarly journals Diagnostics and Prognostics of Energy Conversion Processes via Knowledge-Based Systems

Proceedings ◽  
2020 ◽  
Vol 58 (1) ◽  
pp. 1
Author(s):  
Roberto Melli ◽  
Enrico Sciubba
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
Real Time ◽  
System Analysis ◽  
Intelligent System ◽  
Time Derivative ◽  
Time History ◽  
Control Procedure ◽  
Time Data ◽  
Ongoing Research

This paper presents a critical and analytical description of an ongoing research program aimed at the implementation of an expert system capable of monitoring, through an Intelligent Health Control procedure, the instantaneous performance of a cogeneration plant. The expert system is implemented in the CLIPS environment and is denominated PROMISA as the acronym for Prognostic Module for Intelligent System Analysis. It generates, in real time and in a form directly useful to the plant manager, information on the existence and severity of faults, forecasts on the future time history of both detected and likely faults, and suggestions on how to control the problem. The expert procedure, working where and if necessary with the support of a process simulator, derives from the available real-time data a list of selected performance indicators for each plant component. For a set of faults, pre-defined with the help of the plant operator (Domain Expert), proper rules are defined in order to establish whether the component is working correctly; in several instances, since one single failure (symptom) can originate from more than one fault (cause), complex sets of rules expressing the combination of multiple indices have been introduced in the knowledge base as well. Creeping faults are detected by analyzing the trend of the variation of an indicator over a pre-assigned interval of time. Whenever the value of this ‘‘discrete time derivative’’ becomes ‘‘high’’ with respect to a specified limit value, a ‘‘latent creeping fault’’ condition is prognosticated. The expert system architecture is based on an object-oriented paradigm. The knowledge base (facts and rules) is clustered—the chunks of knowledge pertain to individual components. A graphic user interface (GUI) allows the user to interrogate PROMISA about its rules, procedures, classes and objects, and about its inference path. The paper also presents the results of some simulation tests.

‘Riding the Juggernaut’: Selectivity and Entrepreneurship in Ireland

1995 ◽  
Vol 5 (1) ◽  
pp. 67-88 ◽  
Author(s):  
Patricia Carr
Keyword(s):  
Expert System ◽  
Social Science ◽  
Industrial Policy ◽  
Institutional Analysis ◽  
The State ◽  
Enterprise Culture ◽  
Dependency Theory ◽  
Science Discussion ◽  
The Creation ◽  
The Relationship

The creation of a class of strong native entrepreneurs has long been an aim of Irish industrial policy. Social science discussion of strategies stimulating Irish enterprise have tended to emanate from two broad theoretical viewpoints, modernisation theory and dependency theory,f which hold opposing views on the role the Stale can play in the promotion of business and enterprise. Considerations of the relationship between the State and an indigenous class of entrepreneurs have tended to centre on notions of ‘modernising’ and the ‘modernisation’ of society. This article shifts the focus away from a concentration on modernising to a consideration of the nature of modernity. The tendency to equate modernisation and modernity is liable to conceal or misrepresent the activities of certain economic actors, in particular State personnel. Using elements of the institutional analysis of modernity developed by Giddens (1991), the article examines the ‘selectivity function’ of Irish State personnel and their relationship with potential Irish entrepreneurs. This selectivity function can be construed as an attempt to establish an expert system to enable State personnel to assert some control over the enterprise culture juggernaut.

Sign in / Sign up

Export Citation Format

Share Document