scholarly journals Visual Builder of Rules for Spacecraft Onboard Real-Time Knowledge Base

2016 ◽  
pp. 189-205 ◽  
Author(s):  
Andrey Tyugashev
Keyword(s):  
Knowledge Base ◽  
Real Time

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.

Putting up barriers

2017 ◽  
Author(s):  
David J. Lobina
Keyword(s):  
Knowledge Base ◽  
Real Time ◽  
Language Processing ◽  
Cognitive Domain ◽  
Linguistic Knowledge ◽  
Levels Of Explanation ◽  
Real Time Processing ◽  
Time Processing ◽  
Neural Underpinnings ◽  
Different Levels

The study of cognitive phenomena is best approached in an orderly manner. It must begin with an analysis of the function in intension at the heart of any cognitive domain (its knowledge base), then proceed to the manner in which such knowledge is put into use in real-time processing, concluding with a domain’s neural underpinnings, its development in ontogeny, etc. Such an approach to the study of cognition involves the adoption of different levels of explanation/description, as prescribed by David Marr and many others, each level requiring its own methodology and supplying its own data to be accounted for. The study of recursion in cognition is badly in need of a systematic and well-ordered approach, and this chapter lays out the blueprint to be followed in the book by focusing on a strict separation between how this notion applies in linguistic knowledge and how it manifests itself in language processing.

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.

Measuring the Impact of the Semantic-Based Process Mining Approach

2020 ◽  
pp. 217-237
Keyword(s):  
Knowledge Base ◽  
Real Time ◽  
Learning Process ◽  
Conceptual Analysis ◽  
Process Mining ◽  
Levels Of Analysis ◽  
Use Case ◽  
Abstraction Levels ◽  
The Impact

This chapter looks at the extent to which the semantic-based process mining approach of this book supports the conceptual analysis of the events logs and resultant models. Qualitatively, the chapter leverages the use case study of the research learning process domain to determine how the proposed method support the discovery, monitoring, and enhancement of the real-time processes through the abstraction levels of analysis. Also, the chapter quantitatively assesses the level of accuracy of the classification process to predict behaviours of unobserved instances within the underlying knowledge base. Overall, the work looks at the implications of the semantic-based approach, validation of the classification results, and their influence compared to other existing benchmark techniques/algorithms used for process mining.

Putting it all together

2017 ◽  
Author(s):  
David J. Lobina
Keyword(s):  
Knowledge Base ◽  
Real Time ◽  
Data Structures ◽  
Production Systems ◽  
Levels Of Explanation ◽  
Computational Processes ◽  
Different Levels

Recursion as a concept can apply to four different theoretical constructs, all of them to some extent independent but with potential points of contact: a) as part of a definition by induction, and thus of possible use to various sciences; b) as a central property of mechanical procedures, as in production systems and merge; c) as a feature of computational processes, when an operation calls itself, yielding chains of deferred operations; and d) as a characteristic of data structures, as in an ‘X within an X’ template. It is of the utmost importance to separate the four meanings and to not conflate them into a single phenomenon; moreover, it is equally important to recognize that these theoretical constructs may well refer to different mental realities that require different levels of explanation/description, in some cases reflecting properties of mental faculties (knowledge base), in others of processing modules (real-time phenomena).

Using geographic information system and knowledge base system technology for real-time planning of site characterization activities

1999 ◽  
Vol 36 (2) ◽  
pp. 300-312 ◽  
Author(s):  
Yi-Chang Tsai ◽  
J David Frost
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Knowledge Base ◽  
Real Time ◽  
Prior Information ◽  
Site Characterization ◽  
Geographic Information ◽  
Prototype System ◽  
Base System ◽  
Knowledge Base System

Site characterization activities involving a variety of different tools and techniques are a key component of any environmental rehabilitation program. Depending on the specific characteristics and requirements of the project, a range of tools can be used to characterize the surface and subsurface conditions. The results will be subject to specific limitations which will apply to a particular tool in terms of the depth investigated and the resolution of the measurements obtained as a result of the sensor capacity and background noise conditions. This paper presents a methodology that can be used to evaluate the relative merits of alternative sampling plans for a site and assist in identifying the optimal sampling plan taking into account the amount and type of prior information. This methodology allows new test results to be incorporated in real time as "prior information" as the site investigation proceeds. The methodology is implemented using a geographic information system (GIS) and a knowledge base system (KBS). Factors considered in the methodology include the effective measured area, the likely target characteristics, surface and subsurface noise conditions, and the level of confidence that exists about the possible source location as a result of prior studies at the site. The results of a sensitivity study are presented. An example is used to demonstrate the capability of the prototype system to assess different test configurations.Key Words: characterization, GIS, KBS, planning, quality.

Advanced Controlling of the Prototype of SMA Linear Actuator

2011 ◽  
Vol 177 ◽  
pp. 93-101 ◽  
Author(s):  
Ireneusz Dominik
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Knowledge Base ◽  
Real Time ◽  
Fuzzy Controller ◽  
Learning Algorithm ◽  
Linear Actuator ◽  
Sma Actuator ◽  
Auto Tuning ◽  
Continuous Work

During research on SMA wires the prototype of linear position actuator was built. The shape memory alloy (SMA) wires used in construction of the actuator are nonlinear and time variant. Thus, it was decided to use a fuzzy controller to control the actuator. However, because of the nature of SMA wires which work by changes of their temperature, after a few minutes of continuous work the actuator did not work accurately. In other words, the existing singleton values in a knowledge base were inappropriate. That is why each time after longer continuous work of the actuator it was needed to manually find and change the mentioned values. It took a lot of time and effort so eventually it was decided to create a real time auto-tuning algorithm which could identify crucial parameters of the actuator each time when it was needed. Together with initial values learning algorithm the advanced controlling of SMA actuator was created.

scholarly journals REAL-TIME ACQUISITION AND ANALYSIS METHOD AND SYSTEM OF SECURITY HIDDEN DANGER INFORMATION IN INTELLIGENT SCENIC SPOTS UNDER THE ENVIRONMENT OF INTERNET OF THINGS

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 437-442
Author(s):  
B. S. Li ◽  
Y. H. Xie
Keyword(s):  
Spatial Analysis ◽  
Internet Of Things ◽  
Knowledge Base ◽  
Real Time ◽  
Safety Hazards ◽  
Depth Sensors ◽  
Analysis Process ◽  
Potential Safety ◽  
Gradient Based ◽  
The Impact

Abstract. Aiming at the problem that the existing methods of collecting and processing information of potential location safety hazards in scenic spots can not identify and analyze real-time potential hazards quickly and accurately, a real-time method and system of collecting and analyzing information of potential location safety hazards for tourists in intelligent scenic spots under the environment of Internet of Things is proposed.The set of method and system includes: collecting geographical coordinate information of potential safety hazards threatening visitor through the handheld terminal, and connecting the collected data and the spatial analysis request to the GIS spatial analysis server through the Web server in real time, so as to realize the buffer analysis considering the gradient; based on the knowledge base of secure locations in scenic spots and internet of things equipment, such as rainfall-sensor and water depth sensors, the radius of hidden danger buffer and parameter information of warning level are calculated in real time, and the knowledge formed in the analysis process is saved. By comparing and analyzing the historical information of Location Safety Knowledge Base, the temporal and spatial variation rules of newly added hidden danger features are discovered to determine the optimal value of hidden danger parameters. Then, through the geographic information system network service software, the new hidden danger buffer element layer is sent to the handheld terminal in real time, so as to avoid the impact of unsafe tourist caused by the untimely updating of hidden danger information in scenic spots, and improve the efficiency of safe production in scenic spots.

scholarly journals DESCRIPTION AND IDENTIFICATION OF TEMPORAL REGULARITIES FOR FUZZY TIME SERIES WITH APPLICATION OF HYBRID OLS-PATTERNS

2018 ◽  
Vol 45 (2) ◽  
pp. 104-113
Author(s):  
D. V. Dultsev ◽  
L. I. Suchkova
Keyword(s):  
Time Series ◽  
Knowledge Base ◽  
Real Time ◽  
Fuzzy Time Series ◽  
Time Shift ◽  
Partial Data ◽  
Linear List ◽  
Fuzzy Linguistic Variable ◽  
Observable Data ◽  
Scientific Results

ObjectivesThe aim of the research is to develop the principle of storing data templates to take their temporal natureinto account, making it possible to reduce decision-making times.In order to describe and identify temporal patterns in fuzzy time series behaviour in real time, the task was set to develop a hybrid data structure that allows for a consideration of sequences of fuzzy values formed from clear observable data as well as a determination of the length of these sequences and possible uneven time intervals between the observations.MethodsThe article discussesan approach to formalising the description of temporal cause-effect relationships between events occurring at the object location as well as that of its environment, based on a set of singly-connected lists of triplets. Each triplet contains a fuzzy linguistic variable, the duration of its observation and the permitted interval of observation of insignificant data.ResultsAn algorithm for detecting knowledge base patterns in real time was developed, taking into account the possibility of a time shift in observing long sequences of identical values of the observed value. The possibility of partial data overlapping corresponding to triplets of different patterns is taken into account. The proposed hybrid pattern makes it possible to accelerate the detection of temporal regularities in the data.ConclusionScientific results are presented by the developed structure for storing information on temporal regularities in data, based on a singly linked linear list, as well as an algorithm for finding regularities in observational data using a set of OLS-patterns. The advantage of this structure and algorithm in comparison with the known ways of storing and analysing temporal data is a reduction in the amount of memory necessary for storing templates in the knowledge base, as well as the possibility of applying OLS patterns for decisionmaking purposes.

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