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{{Paper
|id=Vol-2258/Contents
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-2258/Contents.pdf
|volume=Vol-2258
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==None==
https://ceur-ws.org/Vol-2258/Contents.pdf
CONTENTS
Applied Intelligent Systems
1. Case based reasoning in intelligent geographic information systems for the management of logistics projects
S L Belyakov, A V Bozhenyuk, M L Belyakova and S A Zubkov…...…………………………..……….1-10
2. On possible methods for solving the problem of reconstructing the matrix of distances between DNA strings
B Melnikov and M Trenina……………………………………………………………………………..…11-20
3. Methodology to design management accounting information systems
S Mkrtychev.…………………………………………………………………………………...………….21-28
4. Incorporation of Duality into the Computational Processes of Neural Network
Decision-Making Components within Mobile Robotic Systems
M Makarov………………………………………………………………………………………………...29-37
5. Identifying the most critical trajectory of the spread of a social engineering attack between two
users
A O Khlobystova, M V Abramov and A L Tulupyev…………………………………………………….38-43
6. Approach to translation of RDF/OWL-ontology to the graphic knowledge base of intelligent systems
A Filippov, V Moshkin, A Namestnikov, G Guskov and M Samokhvalov…………… ……………….44-49
7. Intelligent Instrumentation for Opinion Mining in Social Media
N Yarushkina, A Filippov, V Moshkin, G Guskov and A Romanov……………………………………...50-55
8. Changing the information system’s protection level from social engineering attacks, in case of reorganizing
the information system’s users’ structure
A A Azarov, A V Suvorova and T V Tulupyeva.…………………………………………………………56-62
9. Exploring Bayesian belief network for risky behavior modelling: discretization and
latent variables
A Suvorova…………………………………………………………………….……………………….….63-70
10. Neural net Decision Support System for Hand-written Author
Identifications
A Ermolenko………………………………………………………………………………………….…...71-78
11. Software interfaces for interaction of intelligent fuzzy and neuro-fuzzy models in an end-point software risk-
management system
A V Senkov and Yu A Senkova.…………………………………………………………...……………..79-86
12. The technique of structuring social network graphs for visual analysis of user groups to counter inappropriate,
dubious and harmful information
M Kalameyets, A Chechulin and I Kotenko………………………………………………………………87-95
13. Neural network approximation precision change analysis on cryptocurrency price prediction
A Misnik, S Krutalevich, S Prakapenka, P Borovykh, M Vasiliev…….………………………….…….96-101
14. Financial sustainability evaluation of higher education institutions using “compatible”
cognitive maps
Y A Fedulov, V V Borisov and A S Fedulov………………………………………………………….102-108
15. Algebraic Bayesian networks: consistent fusion of partially intersected knowledge systems
A Tulupyev, N Kharitonov and A Zolotin ……………………………..………………………………109-115
16. Neuro-fuzzy models in tasks of intelligent data processing for detection and counteraction of inappropriate,
dubious and harmful information
I V Kotenko, I B Parashchuk and T K Omar………………………………………………………..…..116-125
17. An Approach for Prediction of User Emotions Based on ANFIS in Social Networks
A N Averkin, G Pilato and S A Yarushev…………………………...………………………………….126-130
Intelligent Systems in the industry
18. Methodological basics of creating intelligent quality management systems in mechanical engineering
G Burdo..………………………………………………………………………………………………..131-140
19. Modeling of communication processes in information systems
G P Vinogradov and A A Prokhorov………………………………………………………………….141-149
20. Modeling of digital manufacturing of electronics production and product quality assurance
G I Korshunov and A A Petrushevskaya…………………………………………………….………..150-159
21. The use of neural networks for testing and failure analysis of electronic devices
R V Girin and S P Orlov………………………………………………………………………..……..160-167
22. Adaptive neural network based control of balancing robot in real time mode
A I Glushchenko, V A Petrov and K A Lastochkin.…………………………………………………..168-178
23. About Fuzzy Management of the Safety of the Process of Oxidative Pyrolysis
G N Sanaeva, A E Prorokov, D P Vent, N Yu Mutovkina and V N Bogatikov………………………..179-187
24. Metaheuristic algorithms for identification of the convection velocity in the convection-diffusion transport
model
A V Tsyganov, Yu V Tsyganova, A N Kuvshinova and H R Tapia Garza………………… ……….188-196
25. Uncertainty Evaluation in the Expert System of Evolutionary Management of a Multistage Technological
Process
B V Paliukh, A N Vetrov and I I Emelyanova……………………………………………………….....197-202
26. Reducing the power consumption of sensor nodes in a wireless sensor network
S Elyagin and V Dementiev…………………………………………………………………….………203-210
27. Method of operational monitoring of technical condition of elements of
multiservice communication network on the basis of hierarchical fuzzy inference
S A Аgeev, A A Gladkikh, D V Mishin and A A Privalov ………………...………….…………...…..211-221
28. Fuzzy reliability model of systems for decision support in technical diagnostics
E A Gavriliuk and S A Mantserov………………………………………………………………………222-234
29. An Approach to Improve the Architecture of ART-2 Artificial Neural Network Based on Multi-Level
Memory
D G Bukhanov and V M Polyakov.……………………………………………………………………..235-242
30. Monitoring and controlling the execution of the sea cargo port operation’s schedule based on multi-agent
technologies
O Vasileva and V Kiyaev.………………………………………………………………………….…...243-248
Semantic technologies in design
31. Computational Model to Quantify Object Innovativeness
V K Ivanov………………………………………………………………………………………….…..249-258
32. The Method of fuzzy analysis of texts and their rubrics actualization
V V Borisov, M I Dli and P Yu Kozlov………………………………………………………………..259-263
33. Features of the cognitive agent architecture on the basis of behavioral act modeling
S V Astanin and N K Zhukovsky.……………………………………………………….……………264-275
34. Methods and means of intellectual system of analysis of design solutions and training of designer
A N Afanasyev and S I Brigadnov………………………………………..……………………….…..276-283
35. How top-level ontology can help in analyses of workflow modeling
I G Fiodorov, A N Sotnikov and Yu.F Telnov.………………………………………………………284-294
36. Research prototype of tool support of information technology of functional hybrid intelligent systems with a
heterogeneous visual field
A V Kolesnikov, S V Listopad and F G Maitakov..……………………………………………………295-304
37. Conceptual-visual metalanguage of hybrid intelligent systems
A V Kolesnikov, S V Listopad and F G Maitakov…………………………………………………….305-313
38. The Tasks of Observation, Measurement and Evaluation in Intelligent Active Systems
N Yu Mutovkina………………………………………………………………………………………..314-323
39. Specifications of Fuzzy Concepts with Evaluative Meaning in a Project Ontology during a Design of a
System with Software
P Sosnin, E Sosnina and A Kulikova…………………………………………………………………..324-332
40. The possibilities of intelligent learning environments for inclusive distance education
N N Belukhina, D S Kanev and T M Egorova.………………………………………………………..333-341
41. Building the knowledge base of the question-answer system based on the
syntagmatic analysis of the text
A Zarubin and A Koval………………………………………………………………………….……..342-347
42. Development of Precedents Searching Methods Based on Decision Trees
I I Astahova, M V Fomina and V N Shcherbakova…………………………………..……………….348-354
43. Semantic features of processing hybrid dynamic workflows of design
A N Afanasyev, N N Voit and S Yu Kirillov…………………………………………………………..355-365
44. Multimodel method of rubriсating the unstructured electronic text documents
M I Dli, O V Bulygina and P Yu Kozlov………………………………………………………………366-372
Data Mining
45. A model for assessing the development of the economy of the "future cities" based
on the regression data parameter Constructive Coste Model
O O Komarevtseva………………………………………………………………………….…………..373-380
46. Identification and adaptive control based Hopfield neural networks
M V Burakov……………………………………………………………………………………………381-394
47. Migration to graph data structures for Big Data analysis in causal model of personal curricula
S Y Petrova.……………………………………………………………………………………………..395-403
48. Video- Application of fuzzy logic elements under the moisture supply evaluation in the plant-soil-air system
V V Alekseev and S A Vasiliev.…………………………………………………………………………....404-
409
49. Solving of logic functions systems using genetic algorithm
V G Kurbanov and M V Burakov…………………………………………………………………..…..410-417
50. Decision support systems for information protection in the
management of the information network
G I Korshunov, V A Lipatnikov and A A Shevchenko………………………………………..………..418-426
51. Fuzzy classification of technical condition at life cycle stages of responsible appointment
systems
G I Korshunov, S A Nazarevich and V A Smirnov.…………………………………….………………427-437
52. The neural network image captioning model based on adversarial training
K P Korshunova…………………………………………………………………………………………438-444
53. Application of The Clustering In Software Development Analysis
T Afanasieva and I Sibirev.……………………………………………………………………..………445-454
54. Intelligent time series forecasting system
V V Borisov, P I Komarov and V S Luferov……………………………………………….…………..455-461
55. Using mathematical modeling of time series for forecasting taxi service orders amount
N A Andriyanov and V A Sonin………………………………………………………………………462-472
56. New combined array information UD algorithm of the Kalman filter based channel estimation for OFDM
data transmission
I V Semushin, Yu V Tsyganova, V V Ugarov and A V Tsyganov .…………………………………..473-482
57. Extraction and Forecasting Time Series Of Production Processes
A Romanov, E Egov, I Moshkina, and I Dyakov.……………………………………………………....483-489
58. Basic Algorithms of the Rule of Inference for a Logical-Type Systems with Many Fuzzy Inputs
V G Sinuk and M V Panchenko……………………………………………………………..………...490-501
59. Fuzzy cognitive map of pre-emergency prediction
M Yu Micheev, O V Prokofiev and A E Savochkin………………………………………..…………..502-509
60. Physically structured sequential data modeling: integration of qualitative and quantitative
research
I Semushin and Yu V Tsyganova…………………………………………………………..…………510-518
61. Using a neural network to select methods for predicting time series in a hybrid combined model
D V Yashin.………………………………………………………………..…………………………519-526