Design principles, structure, and specific features of the Kardiovid computer diagnostic system

2006 ◽  
Vol 40 (1) ◽  
pp. 38-40
Author(s):  
O. N. Bodin
Keyword(s):  
Diagnostic System ◽  
Design Principles ◽  
Computer Diagnostic System

Distributed computer diagnostic system KardioVid on the base of the multi-agent technologies

2017 ◽  
Author(s):  
Oleg N. Bodin ◽  
Anatoly G. Ubiennykh ◽  
Anton S. Sergeenkov ◽  
Svetlana A. Balakhonova ◽  
Fagim K. Rakhmatullov ◽  
...  
Keyword(s):  
Diagnostic System ◽  
Multi Agent ◽  
Computer Diagnostic System

IMITATION MODELING OF MULTIAGENT TECHNOLOGY IN COMPUTER DIAGNOSTIC SYSTEM «CARDIOVID»

2019 ◽  
Author(s):  
O. N. Bodin ◽  
◽  
Z. I. Bausova ◽  
O. E. Bezborodova ◽  
A. G. Ubiennykh ◽  
...  
Keyword(s):  
Diagnostic System ◽  
Imitation Modeling ◽  
Computer Diagnostic System

The Marine Diesel: Recent Design Developments

1979 ◽  
Vol 16 (02) ◽  
pp. 119-135
Author(s):  
Jan Arie Smit
Keyword(s):  
Diesel Engine ◽  
Noise Analysis ◽  
Diagnostic System ◽  
Design Principles ◽  
Transport Systems ◽  
Maintenance Costs ◽  
Transport Efficiency ◽  
Marine Transport ◽  
Marine Diesel ◽  
Engine Development

A survey of diesel engine development since the introduction of turbocharging, welded design, and heavy fuel illustrates the continuation of the design principles, describing component details. The engine range and application require some adaption to the demands of changing marine transport systems, in view of space, horsepower, and vibration. The effect of the diesel engine on the environment can be kept within today's accepted requirements with respect to emission and noise. Analysis of cost trends shows where the diesel engine with improved application design can improve overall transport efficiency. The introduction of a computerized engine diagnostic system shows the way to improve running efficiency, reduce maintenance costs, and prevent major damage after accidental breakdowns.

scholarly journals Predicting various forms of endometriosis using artificial neural networks

2020 ◽  
Vol 35 (4) ◽  
pp. 143-149
Author(s):  
N. G. Sazonova ◽  
T. A. Makarenko ◽  
A. N. Narkevich
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Differential Diagnosis ◽  
Artificial Neural Networks ◽  
Mathematical Models ◽  
Computer System ◽  
Clinical Manifestations ◽  
Diagnostic System ◽  
Artificial Neural ◽  
Computer Diagnostic System

Introduction. Endometriosis is a difficult-to-diagnose pathology due to the diversity of clinical manifestations and the lack of high-precision markers necessary for rapid noninvasive diagnosis and timely administration of pathogenetically justified treatment.The aim of this work was to develop a computer system that allows us to assess the probability of endometriosis with various localizations in women, based on artificial neural networks.Material and Methods. The neural network mathematical models were constructed and tested based on data from 110 patients with morphologically pre-confirmed endometriosis. Patients were divided into training and test samples. The models were built based on anamnestic data and results of proteomic and enzyme immunoassays in blood plasma samples.Results and Discussion. In the course of the study, four mathematical models of neural networks were constructed to predict the presence or absence of endometriosis in a woman and its localization if present. Based on these mathematical models, a computer system “Differential diagnosis of endometriosis” was developed. This system allowed to assess the probability and localization of endometriosis in a patient based on parameters obtained as a result of neural network training.Conclusion. The developed computer diagnostic system allowed predicting the presence of endometriosis and its localization with a probability over 80%, depending on the predicted localization, based on data about the patient and the results of her examination. This system may be used for differential diagnosis of endometriosis from other diseases of the female reproductive system, as well as for differential diagnosis of various endometriosis localizations.

scholarly journals Design principles for onboard engineering diagnostics systems of unmanned maritime vessels

2021 ◽  
Vol 2061 (1) ◽  
pp. 012103
Author(s):  
V Zhukov ◽  
A Butsanets ◽  
S Sherban
Keyword(s):  
Information Technology ◽  
Power Plants ◽  
Diagnostic System ◽  
Design Principles ◽  
Diagnostic Systems ◽  
Modern Information Technology ◽  
Engineering Diagnostics ◽  
Modern Information

Abstract Modern information technology makes it easier to control and adequately assess the performance of marine equipment and, specifically, the elements of ship power plants, since they deliver efficient technical diagnostic services. The paper proposes the structure and principles of constructing a monitoring and diagnostic system to keep track of elements of ship power plants, enabling to solve current problems facing technical diagnostic systems.

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