SYNTAX: A Rule-Based Stochastic Simulation of the Time-Varying Concentrations of Positional Isotopomers of Metabolic Intermediates

1994 ◽  
Vol 27 (2) ◽  
pp. 130-147 ◽  
Author(s):  
David M. Cohen ◽  
Richard N. Bergman
Keyword(s):  
Stochastic Simulation ◽  
Time Varying ◽  
Rule Based ◽  
Metabolic Intermediates

A Bayesian belief-rule-based inference multivariate alarm system for nonlinear time-varying processes

2021 ◽  
Vol 64 (10) ◽  
Author(s):  
Xiaobin Xu ◽  
Zhuochen Yu ◽  
Jiusun Zeng ◽  
Wanqi Xiong ◽  
Yanzhu Hu ◽  
...  
Keyword(s):  
Alarm System ◽  
Time Varying ◽  
Rule Based

scholarly journals DYNAMIC KEYPOINT-BASED ALGORITHM OF OBJECT TRACKING

2017 ◽  
Vol XLII-2/W4 ◽  
pp. 79-82
Author(s):  
A. I. Morgacheva ◽  
V. A. Kulikov ◽  
V. P. Kosykh
Keyword(s):  
Object Tracking ◽  
Image Sequences ◽  
The Other ◽  
Time Varying ◽  
Test Set ◽  
Rule Based ◽  
Original Algorithm ◽  
Function Of Rival Similarity ◽  
Angle Of View ◽  
Dynamic Time

The model of the observed object plays the key role in the task of object tracking. Models as a set of image parts, in particular, keypoints, is more resistant to the changes in shape, texture, angle of view, because local changes apply only to specific parts of the object. On the other hand, any model requires updating as the appearance of the object changes with respect to the camera. In this paper, we propose a dynamic (time-varying) model, based on a set of keypoints. To update the data this model uses the algorithm of rating keypoints and the decision rule, based on a Function of Rival Similarity (FRiS). As a result, at the test set of image sequences the improvement was achieved on average by 9.3% compared to the original algorithm. On some sequences, the improvement was 16% compared to the original algorithm.

scholarly journals Comparison of Optimization- and Rule-Based EMS for Domestic PV-Battery Installation with Time-Varying Local SoC Limits

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Akila Herath ◽  
Supun Kodituwakku ◽  
Dinithi Dasanayake ◽  
Prabath Binduhewa ◽  
Janaka Ekanayake ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Processing Speed ◽  
Electricity Generation ◽  
Optimization Problem ◽  
Local Maximum ◽  
Global Maximum ◽  
Energy Management System ◽  
Time Varying ◽  
Rule Based ◽  
Pv Systems

Renewable energy is identified as a solution for the growing future electricity demand. Photovoltaic (PV) is a leading type of renewable energy source used for electricity generation. Among the PV systems, distributed PV systems are becoming popular among the domestic consumers and hence the number of domestic PV installations is on the rise continuously. Intermittent output power variations and inability to use the PV power during the night peak hours are major issues with PV systems. Energy storage is a possible mitigation technique for these issues. In order to effectively utilize local generations, storage, and loads, energy management system (EMS) becomes an essential component in future domestic PV installations. EMS for domestic consumers needs to be inexpensive, while a reasonable accuracy level is maintained. In this paper, optimization problem-based EMS and rule-based EMS were developed and compared to investigate the accuracy and the processing speed, thereby to select a fast and accurate EMS for a domestic PV installation. Furthermore, in the proposed EMS, a day-ahead generation and load profiles are generated from predictions, and thus the battery’s state of charge (SoC) levels over a day is estimated through the EMS. In order to utilize the storage effectively, time-varying local maximum and minimum SoC limits for the battery are introduced, which are inside the global maximum and minimum SoC limits. With the aid of real-PV profiles and typical loading profiles, the EMS was implemented using optimization- and rule-based techniques with local SoC limits. The results verified that the rule-based EMS produced accurate results in comparison to optimization-based EMS with lesser processing time. Further results verified that the introduction of local SoC limits improved the performance of the EMS in the unforeseen conditions.

scholarly journals RuleMonkey: software for stochastic simulation of rule-based models

2010 ◽  
Vol 11 (1) ◽  
pp. 404 ◽  
Author(s):  
Joshua Colvin ◽  
Michael I Monine ◽  
Ryan N Gutenkunst ◽  
William S Hlavacek ◽  
Daniel D Von Hoff ◽  
...  
Keyword(s):  
Stochastic Simulation ◽  
Rule Based

scholarly journals Stochastic simulation of multiscale complex systems with PISKaS: A rule-based approach

2018 ◽  
Vol 498 (2) ◽  
pp. 342-351 ◽  
Author(s):  
Tomas Perez-Acle ◽  
Ignacio Fuenzalida ◽  
Alberto J.M. Martin ◽  
Rodrigo Santibañez ◽  
Rodrigo Avaria ◽  
...  
Keyword(s):  
Complex Systems ◽  
Stochastic Simulation ◽  
Rule Based ◽  
Rule Based Approach

La gestion à risque contrôlé des réservoirs hydroélectriques

2003 ◽  
Vol 30 (6) ◽  
pp. 1111-1122 ◽  
Author(s):  
Ousmane Seidou ◽  
Claude Marche ◽  
Benoit Robert ◽  
Jean Rousselle
Keyword(s):  
Decision Support ◽  
Stochastic Simulation ◽  
System Performance ◽  
Reservoir Management ◽  
Management Decision ◽  
Time Varying ◽  
Normal Zone ◽  
Dynamic Risk ◽  
Risk Of Failure ◽  
Management Decision Support

Because of uncertainty on inflows, a hydroelectric system may at any time leave its normal zone of operation and fail. This paper proposes a way to continuously measure this risk of failure by presenting it in the form of time-varying indicators. These indicators are very flexible and could be defined according to the manager's needs. They are calculated by stochastic simulation by using inflows scenarios built according to the observed conditions and the statistical behaviour of the river. The utility of this dynamic risk is highlighted by an application on the Cabonga reservoir located in Quebec, Canada. For this reservoir, we define and evaluate six hypothetical management rules. Four of these rules are explicitly related to the instant level of risk on this reservoir. Opposition between risk and system performance was highlighted in a quantitative way.Key words: risk, reservoir management, decision support.

Using Conventional Articulation Tests With Highly Unintelligible Children

1992 ◽  
Vol 23 (1) ◽  
pp. 52-60 ◽  
Author(s):  
Pamela G. Garn-Nunn ◽  
Vicki Martin
Keyword(s):  
Test Results ◽  
Phonological Processes ◽  
Rule Based ◽  
Severity Level ◽  
Error Sensitivity ◽  
Conventional Tests ◽  
Severity Levels ◽  
Conventional Test ◽  
Impaired Children

This study explored whether or not standard administration and scoring of conventional articulation tests accurately identified children as phonologically disordered and whether or not information from these tests established severity level and programming needs. Results of standard scoring procedures from the Assessment of Phonological Processes-Revised, the Goldman-Fristoe Test of Articulation, the Photo Articulation Test, and the Weiss Comprehensive Articulation Test were compared for 20 phonologically impaired children. All tests identified the children as phonologically delayed/disordered, but the conventional tests failed to clearly and consistently differentiate varying severity levels. Conventional test results also showed limitations in error sensitivity, ease of computation for scoring procedures, and implications for remediation programming. The use of some type of rule-based analysis for phonologically impaired children is highly recommended.

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