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Chebyshev Approximation by Rational Expression Functions of Two Variables 二元有理表达式函数的切比雪夫逼近
Pub Date : 2019-06-20 DOI: 10.32626/2308-5916.2019-19.75-81
P. Malachivskyy, B. R. Montsibovych, Y. Pizyur, R. P. Malachivskyi
The method for constructing of Chebyshev approximation by rational expression for function of two variables is proposed. Idea of the method is based on constructing the boundary power-average approximation in p L norm with p   . Least square method with two weight functions is used to construct of this approximation. One weight function ensures the con-struction of power-average approximation, and another refines parameters of rational expression by linearization scheme. Iterative refinement of weight functions values is proposed. Results of test examples solving con-firm the effectivity of and to prove correctly the conditions that ensure the CPA-security of the NTRUCipher encryption scheme. A certain result is analytical bounds of decryption failure probability in NTRUCipher encryption scheme. This result is important for the proper parameters’ choice of the encryption scheme in its practical implementa-tion. It is shown that the decryption failure probability in the NTRUCipher varies from 357 2  to 157 2  while the value of this probability for the NTRUEncrypt encryption scheme 160 2  to 74 2  . In addition, the obtained bounds are not based
提出了用有理表达式构造二元函数的切比雪夫近似的方法。该方法的思想是基于用p在pl范数上构造边界幂平均近似。采用带两个权函数的最小二乘法来构造该近似。其中一个权函数保证了幂平均近似的构造,另一个权函数通过线性化方案来细化有理表达式的参数。提出了权函数值的迭代细化方法。算例的求解结果验证了算法的有效性,并正确地证明了保证加密方案cpa安全的条件。给出了加密方案中解密失败概率的解析界。这一结果对加密方案在实际实现中合理选择参数具有重要意义。结果表明,在NTRUEncrypt加密方案中,解密失败的概率从357²到157²不等,而在NTRUEncrypt加密方案中,这个概率的值为160²到74²。此外,得到的边界不是基于的
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引用次数: 2
High-Performance Matrix and Stream Multipliers of Digital Data 数字数据的高性能矩阵和流乘法器
Pub Date : 2019-06-20 DOI: 10.32626/2308-5916.2019-19.101-107
Y. Nykolaichuk, N. Vozna, V. Gryga, B. Krulikovskyi, A. Davletova, Nature Resources
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引用次数: 1
Optimization of Discreet Complex Signals Search with Necessary Properties for Application in Modern Information and Communication Systems 具有必要性质的离散复信号搜索优化在现代信息通信系统中的应用
Pub Date : 2019-06-20 DOI: 10.32626/2308-5916.2019-19.37-43
I. Gorbenko, A. Zamula, Ho Tri Luc
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引用次数: 0
Application of BKW Algorithm for Recovering Systematic Linear Block Codes from Samples of Noisy Codewords BKW算法在从噪声码字样本中恢复系统线性分组码中的应用
Pub Date : 2019-06-20 DOI: 10.32626/2308-5916.2019-19.88-94
S. Mitin
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引用次数: 0
Theoretical Foundations and Application of Blockchain: Implementation of New Protocols of Consensus and Crowdsourcing Computing 区块链的理论基础与应用:共识与众包计算新协议的实现
Pub Date : 2019-06-20 DOI: 10.32626/2308-5916.2019-19.62-68
A. Kudin, L. Kovalchuk, B. Kovalenko
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引用次数: 0
Building User Interface and Domain Models Based on the Users’ Cognitive Characteristics and Work Process Specifics 基于用户认知特征和工作过程特征的用户界面和领域模型的构建
Pub Date : 2018-12-18 DOI: 10.32626/2308-5916.2018-18.110-115
I. E. Furtat, Y. Furtat
The principles of construction and management of the automated systems’ UI (responsible for a form of presenting information to the user) and domain (responsible for a structure of presenting information to the user) models are considered as components of the complex of means for managing user’s informational interaction with the automated system management means, adapting this interaction to the user’s individual characteristics and work process specifics.
自动化系统的UI(负责向用户呈现信息的形式)和域(负责向用户呈现信息的结构)模型的构建和管理原则被认为是管理用户与自动化系统管理手段的信息交互的复杂手段的组成部分,使这种交互适应用户的个人特征和工作过程细节。
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引用次数: 0
Mathematical model of an the angular motion of a solid body in the parameters of the Rodrig-Hamilton and its use in the tasks of control spacecraft orientation 罗德里格-汉密尔顿参数下固体角运动的数学模型及其在航天器定向控制任务中的应用
Pub Date : 2018-12-18 DOI: 10.32626/2308-5916.2018-18.48-65
M. Yefymenko, Scientific Production Enterprise «Hartron-YUKOM»
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引用次数: 0
Evaluation of the Features Significance Based on Neural Networks in Tasks of the Analysis of the Distance Learning Quality 基于神经网络的远程教育质量分析任务特征意义评价
Pub Date : 2018-12-18 DOI: 10.32626/2308-5916.2018-18.102-110
K. Filonenko, O. D. Ruban, O. O. Fomin
Информатизация современного образования способствует созданию новых методов разработки учебных курсов, что существенно снижает качество обучения студентов. В настоящей работе предложен метод оценки значимости признаков при анализе качества внедрения дистанционного обучения в высшие учебные заведения с применением нейронной сети. Представлен алгоритм проведения исследования значимости признаков, состоящий из трех этапов: подготовка данных, нейросетевое моделирование и анализ и интерпретация результатов исследования. Подготовка данных — самый трудоемкий процесс, требующий максимального сосредоточения со стороны аналитика. В качестве обучающей выборки использованы реальные данные обучения студентов университета из системы дистанционного обучения Moodle. Данная система активно используется в качестве инструмента ведения учебного процесса в Одесском национальном политехническом университете. Нейросетевое моделирование заключается в исследовании информативности признаков после обучения нейронной сети. В качестве входов нейронов использовались данные об успеваемости студентов курсов, в качестве выходов — их результирующая оценка за курс. Информативность каждого признака определяется с помощью матрицы весов, которая формируется после обучения нейронной сети. Благодаря матрице весов можно определить, какой из признаков наиболее информативен, т.е. наиболее значим для исследования. Значения матрицы весов визуализированы с помощью графиков и гистограмм и дают возможность проанализировать результаты исследования и наглядно подтвердить значимость признаков. Таким образом, решена задача оценки значимости признаков при анализе данных обучения студентов в системе дистанционного обучения Moodle. Определены исследуемые признаки. Сформирована матрица весов признаков. Обосновано предположение о том, что значения весов признаков характеризуют уровень значимости каждого исследуемого признака. Выделены наиболее значимые признаки, которые влияют на качество внедрения дистанционного обучения.
现代教育的信息化促进了发展课程的新方法,大大降低了学生的教育质量。本文提出了一种方法来评估在应用神经网络的高等教育机构中远程教学质量的影响。有一个算法来研究这些特征的重要性,包括数据准备、神经网络模拟和分析和解释研究结果。数据准备是最困难的过程,需要分析人员最大限度地集中注意力。作为一个教学样本,使用大学学生的实际学习数据从远程学习模式。该系统被广泛用作敖德萨国立理工大学的教学工具。神经网络模拟是在神经网络训练后研究信号的信息性。神经元的输入使用本科生的成绩数据,作为输出,作为课程的综合评估。每个信号的信息量都是由神经网络训练后形成的秤矩阵决定的。通过秤矩阵,我们可以确定哪些指标是最有信息的,即对研究最重要的。秤矩阵的值是通过图形和组织学来可视化的,它允许分析研究结果,并提供实物证据。因此,在分析学生在远程学习模式系统中的学习数据时,就解决了评估指标价值的问题。我们已经确定了测试的迹象。特征天平矩阵已经形成。有理由相信,这些指标的度量是每个指标的价值水平。突出了影响远程教学质量的最重要特征。
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引用次数: 0
Modeling of Explosive Processes in Anisotropic Media where Boundary of the Influence Region is Identified 确定影响区域边界的各向异性介质中爆炸过程的建模
Pub Date : 2018-12-18 DOI: 10.32626/2308-5916.2018-18.5-17
A. Bomba, Kateryna Malash
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引用次数: 3
Computer simulation of dynamics of one-dimensional nonlinear objects with distributed parameters 具有分布参数的一维非线性物体动力学的计算机模拟
Pub Date : 2018-12-18 DOI: 10.32626/2308-5916.2018-18.91-102
V. Fedorchuk, Yu. V. Kanarchuk
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引用次数: 0
期刊
Mathematical and computer modelling. Series: Technical sciences
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