Browsing Кафедра мережних технологій by Title
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ItemAlgebraic and algorithmic classification of matrix algorithms [electronic resourse](2021) Malaschonok, GennadiDue to the growing size of the matrices used in applications, it is useful to carefully distinguish between some groups of matrix algorithms. We propose to use algebraic classi cation as the main way to group matrix algorithms. From an algorithmic point of view, we propose to highlight the class of block-recursive algorithms. These algorithms make it possible to ensure a uniform load of a computing cluster, to solve the problem of protecting against failure of its individual nodes, and, in addition, they have the complexity of matrix multiplication. ItemAttempts at Computing Gröbner Bases without S-polynomials whenever Possible(2017) Akritas, Alkiviadis G.; Malaschonok, GennadiIn this note we lay down some thoughts on computing Grobner bases using subresultant polynomial remainder sequences (prs’s) to eliminate variables. In this way we try to minimise 5-polynomial computations and, if possible, to completely avoid them. A personal note to us by Bruno Buchberger - at the Polynomial Computer Algebra conference (PCA-2015) in St. Petersburg, Russia - served as the motivation for our effort. ItemCalculations on a Cluster with Distributed Memory: Matrix Decomposition and Inversion in the Commutative Domain(2017) Malaschonok, G.; Ilchenko, E.Матеріал виступу на XIV Мiжнародній науково-практичній конференцiї "Теоретичнi та прикладнi аспекти побудови програмних систем (TAAPSD'2017)", Київ, 4-8 грудня 2017 року. ItemControl of matrix computations on distributed memory(2019) Malaschonok, Gennadi; Sidko, AllaDedicated to research in the field of parallel computer algebra, in particular the parallelization of matrix recursive algorithms on a cluster with distributed memory. A new dynamic control scheme for matrix recursive algorithms is proposed. We considered in detail new software objects that ensure the effective operations of the dynamic control scheme. ItemCross-language text classification with convolutional neural networks(2017) Musbah, Zaid; Lehinevych, Taras; Glybovets, АndriiText classification or text categorization problem is currently one of the most observed in the field of information and computer sciences. The task is to assign a text to one or more classes or categories and it becomes more difficult if we have to deal with different languages. This problem is called cross-language text classification problem. In our paper  was shown that cross-language multi-label text classification can be handled by a deep learning system without artificially embedding knowledge about words, phrases, sentences or any other syntactic or semantic structures associated with a language. ItemCross-language text classification with convolutional neural networks from scratch(2017) Enweiji, Musbah; Lehinevych, Taras; Glybovets, AndriiCross language classification is an important task in multilingual learning, where documents in different languages often share the same set of categories. The main goal is to reduce the labeling cost of training classification model for each individual language. The novel approach by using Convolutional Neural Networks for multilingual language classification is proposed in this article. It learns representation of knowledge gained from languages. Moreover, current method works for new individual language, which was not used in training. The results of empirical study on large dataset of 21 languages demonstrate robustness and competitiveness of the presented approach. ItemDeveloping the open science infrastructure: a supercomputing platform for large matrix computing(2022) Sidko, Alla; Malaschonok, GennadiIt is proposed to use a new DAP supercomputer runtime for the creation of a component of the Open Science infrastructure in the form of access to a supercomputer with a special library of matrix algorithms. This will allow solving problems with large matrices in many application areas. ItemDevelopment the software applications for mobile medical systems based on OS Android(2016) Dorosh, Natalya; Kuchmiy, H.; Boyko, O. V.; Dorosh, Oleg; Stepanjuk, O.; Maritz, N.In this paper the methods and tools to develop specialized software for mobile medicine (m-health navigator) on the base OS Android are given. The results of test studies using the developed software are shown. ItemE-government developed systemprototype about USA and Jordan(МНУ імені В. О. Сухомлинського, 2017) Glybovets, Andriy; AlHawawsha, MohammadThe use of the Information technology, in the improvement of the e-government is considered as another territory related with the use if the ICT for conveying the legislative administrations to the citizens of the country. The e-government framework contains different advancements including the web and wide area networks, mobile computing for providing constant government services for the natives. Demonstrated that the United Nations portrayed e-government as the application and use of the "Data and Communication Technology" for provisioning general society administrations and data to people in general. The following report consists of discussion about the features and challenges in implementing e government. In addition to that, this paper also proposes a new architecture for the e governments that may improve the functionalities of e government whereas reducing the overhead of maintain it. ItemE-Government versus Smart government: The United States Versus Jordan(МНУ імені В.О. Сухомлинського, 2017) Glybovets, Andriy; AlHawawsha, MohammadThis paper discusses the concepts of e-government and Smart Government as they relate to the use of digital and ICT technologies to enhance the way governments provide services to their citizens. ItemEfficient Calculation Managing on a Cluster with Distributed Memory: [preprint](2017) Ilchenko, E.; Malaschonok, GennadiManaging of cluster parallel computations for tree-like recursive algebraic algorithms for the case of cluster with distributed memory is one of the diffcult problems of computer algebra. The block-recursive algorithms of matrix and polynomial multiplication, Strassen's and Karatsuba's algorithms, matrix inversion and computation of the kernel of a matrix operator, LDU and Bruhat factorization are examples of such algorithms. We suggest a scheme with multidispatching for management of such parallel computing processes and demonstrate the results of experiments at the JSC RAS cluster MVS-10P. ItemMathPartner Computer Algebra(2017) Malaschonok, GennadiIn this paper, we describe general characteristics of the MathPartner computer algebra system (CAS) and Mathpar programming language thereof. MathPartner can be used for scientific and engineering calculations, as well as in high schools and universities. It allows one to carry out both simple calculations (acting as a scientific calculator) and complex calculations with large-scale mathematical objects. Mathpar is a procedural language; it supports a large number of elementary and special functions, as well as matrix and polynomial operators. This service allows one to build function images and animate them. MathPartner also makes it possible to solve some symbolic computation problems on supercomputers with distributed memory. We highlight main differences of MathPartner from other CASs and describe the Mathpar language along with the user service provided. ItemMatrix algorithms in commutative domains: the history of development in recent decades(2017) Malaschonok, GennadiWe discuss the history of development of matrix algorithms in commutative domains, starting from the 1983 year. ItemOpen science in Ukraine: open cloud mathematics(2022) Malaschonok, GennadiOne of the very important services that are essential for the scientific community is cloud math. We propose to use our open cloud mathematical platform MathPartner. It is a ready-made universal mathematical tool that can be connected as a service to the EU Open Science Platform. ItemQuick triangular orthogonal decomposition of matrices(2019) Malaschonok, Gennadi; Gevondov, GurgenA new algorithm for calculating the triangular orthogonal decomposition of matrices is proposed. It differs from previously known algorithms by the smallest asymphotic complexity. ItemSoftware architecture of the question-answering subsystem with elements of self-learning(2021) Hlybovets, Andrii; Tsaruk, A.Within the framework of this paper, the analysis of software systems of question-answering type and their basic architectures has been carried out. With the development of machine learning technologies, creation of natural language processing (NLP) engines, as well as the rising popularity of virtual personal assistant programs that use the capabilities of speech synthesis (text-to-speech), there is a growing need in developing question-answering systems which can provide personalized answers to users' questions. All modern cloud providers proposed frameworks for organization of question answering systems but still we have a problem with personalized dialogs. Personalization is very important, it can put forward additional demands to a question-answering system’s capabilities to take this information into account while processing users’ questions. Traditionally, a question-answering system (QAS) is developed in the form of an application that contains a knowledge base and a user interface, which provides a user with answers to questions, and a means of interaction with an expert. In this article we analyze modern approaches to architecture development and try to build system from the building blocks that already exist on the market. Main criteria for the NLP modules were: support of the Ukrainian language, natural language understanding, functions of automatic definition of entities (attributes), ability to construct a dialogue flow, quality and completeness of documentation, API capabilities and integration with external systems, possibilities of external knowledge bases integration After provided analyses article propose the detailed architecture of the question-answering subsystem with elements of self-learning in the Ukrainian language. In the work you can find detailed description of main semantic components of the system (architecture components). ItemSoftware of doctor-patient interconnection in a remote access mode for a system of family medicine(2013) Dorosh, Oleg; Stepaniuk, Oksana; Boyko, Oksana; Dorosh, NatalyaSurveillance and monitoring of a person’s health indicators is an important task of family medicine at any its level: prevention, diagnosis, treatment and rehabilitation (restoration or improvement of health). During diagnostic and therapeutic care, patients usually require direct contact with doctors in a medical institution. On contrary, while restoration or improvement of their health, patients carry out doctor's orders at home and rarely attend physicians in clinics (e.g. only in the prescribed control terms).