Method for building a model of the functioning of the on-board equipment of spacecrafts based on a classification scheme of interactions of subsystems

2021 ◽  
Author(s):  
A.I. Loskutov ◽  
V.A. Klykov ◽  
A.V. Stolyarov ◽  
D.A. Penkov
Keyword(s):  
Control Systems ◽  
Distributed Control ◽  
Classification Scheme ◽  
Mutual Influence ◽  
Technical Condition ◽  
Artificial Intelligence System ◽  
Intelligence System ◽  
Operation Process ◽  
Special Software ◽  
Onboard Equipment

In this paper, a promising approach to solving the problem of adaptive-distributed control of the technical condition of onboard equipment of spacecraft based on the classification scheme of the mutual influence of subsystems is determined. Purpose is to improve the efficiency of autonomous monitoring of the technical condition of spacecraft on-board equipment. The proposed method for constructing a model of the functioning of onboard equipment of spacecraft made it possible to obtain a classification scheme for the mutual influence of subsystems of onboard equipment, the use of which as a vehicle control model provides semantic compression of telemetric information. The idea of creating a special software for advanced on-board control systems with the function of adaptive-distributed control of technical condition is proposed. The possibility of using the methodology is not excluded when constructing a model of the operation process of on-board equipment for objects of various purposes, including as an element of an artificial intelligence system when solving the problem of monitoring a technical condition.

scholarly journals Private Weighted Sum Aggregation for Distributed Control Systems

2020 ◽  
Vol 53 (2) ◽  
pp. 11081-11088
Author(s):  
Andreea B. Alexandru ◽  
George J. Pappas
Keyword(s):  
Control Systems ◽  
Distributed Control ◽  
Weighted Sum ◽  
Distributed Control Systems

scholarly journals Clinically applicable artificial intelligence system for dental diagnosis with CBCT

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Matvey Ezhov ◽  
Maxim Gusarev ◽  
Maria Golitsyna ◽  
Julian M. Yates ◽  
Evgeny Kushnerev ◽  
...  
Keyword(s):  
State Of The Art ◽  
Model Development ◽  
Clinical Effectiveness ◽  
Anatomical Landmarks ◽  
Periapical Lesion ◽  
Artificial Intelligence System ◽  
Intelligence System ◽  
Significant Difference ◽  
Diagnostic Capabilities ◽  
Lesion Localization

AbstractIn this study, a novel AI system based on deep learning methods was evaluated to determine its real-time performance of CBCT imaging diagnosis of anatomical landmarks, pathologies, clinical effectiveness, and safety when used by dentists in a clinical setting. The system consists of 5 modules: ROI-localization-module (segmentation of teeth and jaws), tooth-localization and numeration-module, periodontitis-module, caries-localization-module, and periapical-lesion-localization-module. These modules use CNN based on state-of-the-art architectures. In total, 1346 CBCT scans were used to train the modules. After annotation and model development, the AI system was tested for diagnostic capabilities of the Diagnocat AI system. 24 dentists participated in the clinical evaluation of the system. 30 CBCT scans were examined by two groups of dentists, where one group was aided by Diagnocat and the other was unaided. The results for the overall sensitivity and specificity for aided and unaided groups were calculated as an aggregate of all conditions. The sensitivity values for aided and unaided groups were 0.8537 and 0.7672 while specificity was 0.9672 and 0.9616 respectively. There was a statistically significant difference between the groups (p = 0.032). This study showed that the proposed AI system significantly improved the diagnostic capabilities of dentists.

330 DEVELOPMENT AND VALIDATION OF AN ARTIFICIAL INTELLIGENCE SYSTEM TO OPTIMIZE CLINICIAN REVIEW OF PATIENT RECORDS

2021 ◽  
Vol 160 (6) ◽  
pp. S-64-S-65
Author(s):  
Ethan A. Chi ◽  
Gordon Chi ◽  
Cheuk To Tsui ◽  
Yan Jiang ◽  
Karolin Jarr ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Patient Records ◽  
Artificial Intelligence System ◽  
Intelligence System ◽  
Development And Validation
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