Towards the Flexibility of Software for Computer Network Simulation
Mikov A. I., Zamyatina E., Mikheev R. A.
Advances in Information Science and Applications. Volumes I & II. Proceedings of the 18th International Conference on Computers (part of CSCC '14)
Vol. 1-2. , Santorini Island: CSCC, 2014
, , , in: Proceedings SDN & NFV – The Next Generation of Computational Infrastructure: 2014 International Science and Technology Conference «Modern Networking Technologies (MoNeTec)». .: M.: Moscow Lomonosov University, 2014.. P. 94-102.
Abstract— This paper considers software tools and linguistic constructions of the network simulator TRIADNS. Nowadays network applications – especially in the area of wireless networks – are becoming more and more complex which makes the design and the testing almost impossible without appropriate software. This software available to aid the user in simulating previously designed ...
Added: February 20, 2015
, , , , in: Advances in Information Science and Applications. Volumes I & II. Proceedings of the 18th International Conference on Computers (part of CSCC '14). Vol. 1-2.: Santorini Island: CSCC, 2014.. P. 391-397.
Abstract— This paper discusses network simulator TRIADNS. It is well known that the role of computer networks becomes more important due to progress in new computer technologies (distributed information systems, GRID-computing, Cloud computing and so on). So it is necessary to have effective and flexible program tools for computer network design and simulation. Indeed this ...
Added: March 11, 2016
, , В кн.: Открытые семантические технологии проектирования интеллектуальных систем = Open Semantic Technologies for Intelligent Systems (OSTIS-2014) : материалы IV междунар. науч.-техн. конф. (Минск, 20-22 февраля 2014 года). .: Мн.: БГУИР, 2014.. С. 369-374.
This paper discusses the problem of simulation system constructing for the specific domain. Authors suggest the ontological approach using. The simulation system TriadNS is considered. This simulation system is devoted for computer networks design and analysis. Authors represent base ontology and some another ontologies describing the concepts of specific domain. ...
Added: February 15, 2015
Cham: Springer, 2018
This book constitutes the proceedings of the 16th Russian Conference on Artificial Intelligence, RCAI 2018, Moscow, Russia, in September 2018. The 22 full papers presented along with 4 short papers in this volume were carefully reviewed and selected from 75 submissions. The conference deals with a wide range of topics, including data mining and knowledge discovery, text mining, ...
Added: November 10, 2018
Data Analytics and Management in Data Intensive Domains 22st International Conference, DAMDID/RCDL 2021
“Data Analytics and Management in Data Intensive Domains” conference (DAMDID) is planned as a multidisciplinary forum of researchers and practitioners from various domains of science and research promoting cooperation and exchange of ideas in the area of data analysis and management in data intensive domains. Approaches to data analysis and management being developed in specific data intensive domains of X-informatics (such as X = astro, bio, chemo, geo, medicine, neuro, physics, ...
Added: August 30, 2021
This book constitutes the proceedings of the 19th Russian Conference on Artificial Intelligence, RCAI 2021, held in Moscow, Russia, in October 2021. The 19 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 80 submissions. The conference deals with a wide range of topics, categorized into the following topical ...
Added: October 28, 2021
, , Hershey: IGI Global, 2012
The consideration of symbolic machine learning algorithms as an entire class will make it possible, in the future, to generate algorithms, with the aid of some parameters, depending on the initial users’ requirements and the quality of solving targeted problems in domain applications. Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems surveys, analyzes, and ...
Added: December 3, 2012
Digital Transformation and Global Society. 6th International Conference, DTGS 2021, St. Petersburg, Russia, June 23–25, 2021, Revised Selected Papers
This volume constitutes refereed proceedings of the 6th International Conference on Digital Transformation and Global Society, DTGS 2021, held as a virtual event in June 2021. Due to the COVID-19 pandemic the conference was held online. The 34 revised full papers and 4 short papers presented in the volume were carefully reviewed and selected from 95 submissions. ...
Added: January 27, 2022
, , Journal of symbolic computation 2010 Vol. 45 No. 11 P. 1144-1162
A uniform verification problem for parameterized systems is to determine whether a temporal property is satisfied for every instance of the system which is composed of an arbitrary number of homogeneous processes. To cope with this problem we combine an induction-based technique for invariant generation and conventional model checking of finite state systems. At the ...
Added: October 12, 2015
, , et al., , in: Proceedings of International Conference on Conceptual Structures 2014. Vol. 8577: Graph-Based Representation and Reasoning.: Springer, 2014.. P. 287-292.
This paper considers a recommender part of the data anal- ysis system for the collaborative platform Witology. It was developed by the joint research team of the National Research University Higher School of Economics and the Witology company. This recommender sys- tem is able to recommend ideas, like-minded users and antagonists at the respective phases ...
Added: June 9, 2014
This book constitutes the refereed proceedings of the 10th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2014, held in St. Petersburg, Russia in July 2014. The 40 full papers presented were carefully reviewed and selected from 128 submissions. The topics range from theoretical topics for classification, clustering, association rule and ...
Added: September 30, 2014
, , Business Informatics 2012 Vol. 4 No. 22 P. 69-75
In this paper we consider the problem of finding an optimal excess of loss reinsurance which maximizes the reliability (probability of no ruin) of the insurance company. We apply two approximate approaches to calculate the distribution of total payments. The first approach is based on normal approximation of the payments distribution. Using this approximation we ...
Added: February 21, 2013
Strategic development and dynamic models of supply chains: search for effective model constructions.
, , in: Proceedings of the 2016 SAI Intelligent Systems Conference (INTELLISYS). .: L.: IEEE, 2016.. P. 737-743.
In this research the author studies the approaches to simulation of strategic development of supply chains and formation of cooperation strategies on the basis of the methods of ontology engineering, complex system dynamics simulation and agent-based simulation. ...
Added: February 25, 2017
, , , , in: Proceedings of the 32nd European Conference on Modelling and Simulation (ECMS 2018),Wilhelmshaven, Germany 22 – 25 May 2018. .: NY: Curran Associates, Inc., 2018.. P. 183-189.
In this paper we consider the task of inner objects mapping for the building with a bunch of moving around it autonomous agents which use narrow beam of radio waves using WiFi frequency (2.4 GHz). Linear model of pixel-wise radio waves attenuation is considered. SIRT algorithm with TV and Tikhonov regularizations is used for the ...
Added: April 6, 2019
Heidelberg: Springer, 2013
This paper comprises papers accepted for presentation at the 14th Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGRC) International Conference which was held as a major part of Joint Rough Set Symposium (JRS 2013) held at Halifax Canada during October 11-14, 2013. ...
Added: October 29, 2013
, , et al., Journal of Chemical Information and Modeling 2015 Vol. 55 No. 5 P. 925-940
This study is dedicated to the introduction of a novel method that automatically extracts potential structural alerts from a data set of molecules. These triggering structures can be further used for knowledge discovery and classification purposes. Computation of the structural alerts results from an implementation of a sophisticated workflow that integrates a graph mining tool ...
Added: September 3, 2015
Метод анализа многомерных временных рядов с использованием корректировки предварительно рассчитанной обратной матрицы: исследование в сравнении с другими методами Data Mining
, Бизнес-информатика 2008 № 1 С. 36-44
В ходе анализа многомерных временных рядов применение традиционных статистических методов определяется соблюдением достаточно строгих предпосылок, позволяющих использовать лежащий в основе этих методов МНК. К ним относятся: отсутствие мультиколлинеарности, гетероскедастичности и автокорреляции. В задачах экономического анализа и многомерного прогнозирования с целью уменьшения числа рассматриваемых переменных и быстрого получения приблизительных закономерностей целесообразно прибегнуть к методам интеллектуального анализа ...
Added: September 28, 2012
Application of Modern Data Analysis Methods to Cluster the Clinical Pathways in Urban Medical Facilities
, , , , in: 2019 IEEE 21st Conference on Business Informatics (CBI). Vol. 1.: M.: IEEE Computer Society, 2019.. P. 75-83.
Patient flow modeling in healthcare plays a large role in understanding the operation of the system and its characteristics. Besides, modeling techniques can significantly improve the effectiveness of the medical facilities. The existing level of automation in these facilities enables the accumulation of large amounts of various data. Therefore, the collected data might be considered ...
Added: September 10, 2019
, , , , in: Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings. * 2. Vol. 9285.: Dordrecht, L., Cham, Heidelberg, NY: Springer, 2015.. P. 157-172.
In pattern mining, the main challenge is the exponential explosion of the set of patterns. Typically, to solve this problem, a constraint for pattern selection is introduced. One of the first constraints proposed in pattern mining is support (frequency) of a pattern in a dataset. Frequency is an anti-monotonic function, i.e., given an infrequent pattern, ...
Added: October 22, 2015
, , et al., Springer, 2015
In online social networks, high level features of user behavior such as character traits can be predicted with data from user profiles and their connections. Recent publications use data from online social networks to detect people with depression propensity and diagnosis. In this study, we investigate the capabilities of previously published methods and metrics applied to the Russian online social ...
Added: December 21, 2015
, , , in: Companion Proceedings 11th International Conference on Learning Analytics & Knowledge (LAK21). .: [б.и.], 2021.. P. 76-78.
While the exchange of cross-border students in Europe has increased significantly in recent years, a growing number of these students face obstacles in selecting courses for exchange. This poster describes the first iteration of creating a course recommendation system for exchange students to select courses that fit their preferences. We implemented a combination of embedding ...
Added: July 4, 2021
Added: October 18, 2021
, , et al., , in: Information Systems Development and Applications. .: Sopot: Faculty of Management University of Gdańsk, 2015.. P. 91-104.
The paper presents an ontological modelling tool that may serve as a visual editor for the DEMO methodology and simulator of business-processes. The main goal of the study is to develop an instrumental tool that would enable business analysts to describe business processes at ontological level and analyse their performance. In the paper all stages ...
Added: February 14, 2016