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MULTILAYER ORTHOGONAL STRUCTURES BASED ON MAXIMUM LENGTH SEQUENCES 基于最大长度序列的多层正交结构
Pub Date : 2023-02-15 DOI: 10.18469/ikt.2022.20.2.05
The work is devoted to the study of the properties of maximum length sequences, the most well-known contemporary representatives of noise-like signals. The unique properties of these combinations, associated primarily with recurrent dependencies within linear sections, make it possible to use special mathematical processing methods based on the dual basis of the Galoisfield. This mathematical apparatus of linear algebra provides the determination of the selected M-sequence current phase according to any of its fragments with preset length. As indicated hereto, such processing algorithms are applicable not only for single M-sequences, but also for multilayer orthogonal constructions created on their basis. These constructions, in turn, can be successfully used in future for the code division technology implementation. The new methods of processing such structures offered in the work should contribute to the development of transmitted signal monitoring algorithms, which will enable tracking its distortions and phase failures. Thus, the results of this work can be used in code division multiple access systems.
这项工作致力于研究最大长度序列的性质,这是当代最著名的类噪声信号的代表。这些组合的独特性质,主要与线性截面内的循环依赖相关,使得使用基于伽罗瓦场对偶基的特殊数学处理方法成为可能。这种线性代数的数学装置根据预设长度的任意片段来确定所选的m序列电流相位。如本文所示,这种处理算法不仅适用于单个m序列,也适用于在其基础上创建的多层正交结构。这些结构反过来又可以成功地用于将来的代码划分技术实现。这项工作中提供的处理这种结构的新方法应该有助于发展传输信号监测算法,这将使跟踪其畸变和相位失效成为可能。因此,本工作的结果可用于码分多址系统。
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引用次数: 0
CYBER-PHYSICAL SENSOR DATA INTEGRATION AND VISUALIZATION SYSTEM WITH THE USE OF AUGMENTED REALITY 基于增强现实技术的信息物理传感器数据集成与可视化系统
Pub Date : 2023-02-15 DOI: 10.18469/ikt.2022.20.2.04
In the modern world, a number of devices equipped with tools for collecting and processing information is constantly increasing. The use of these devices in industry improves the reliability and efficiency of production, as well as data visualization with the use of the augmented reality as a tool to improve reliability and safety. The combination of IoT technologies and advanced methods of proactive control, combined in the concept of cyber-physical systems, allows to achieve a synergistic increase in efficiency. At However, specific implementations of such systems are developed insufficiently and under-researched. The presented article describes the implementation of a system that allows collecting, storing and presenting data of industrial IoT devices, implementing the concept of cyberphysical systems. The structure combines a wireless network of multi-sensor IoT devices, tools and software that implement a digital twin and provide prediction of parameter changes, which, in turn, forms the basis for object management solutions.
在现代世界,配备了收集和处理信息的工具的设备数量不断增加。这些设备在工业中的使用提高了生产的可靠性和效率,以及使用增强现实作为提高可靠性和安全性的工具的数据可视化。物联网技术与先进的主动控制方法相结合,结合网络物理系统的概念,可以实现效率的协同提高。然而,这些系统的具体实现还没有得到充分的开发和研究。本文描述了一个系统的实现,该系统允许收集、存储和呈现工业物联网设备的数据,实现了网络物理系统的概念。该结构结合了一个由多传感器物联网设备、工具和软件组成的无线网络,这些设备、工具和软件实现了数字孪生,并提供了参数变化的预测,从而形成了对象管理解决方案的基础。
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引用次数: 0
COMPATIBILITY PROVISIONING OF SENSOR SYSTEMS AND INDUSTRIAL INTERNET OF THINGS PLATFORMS 传感器系统与工业物联网平台的兼容性预置
Pub Date : 2023-02-15 DOI: 10.18469/ikt.2022.20.2.02
The article relates to the issue of ensuring the compatibility of different sensors types, their measurements results and the industrial Internet of things platforms. The solution offered to ensure semantic interoperability is based on semantic technology with the architecture development and further creation of a common ontological model. The approach offered allows integrating both semantic content of sensor information and methods for arrangement and normalization of measurement results, which is relevant for subsequent analysis and use of industrial Internet of things data on various platforms, including data depersonalization for computer-assisted learning. A study of regulatory documentation and technical solutions to ensure the compatibility of the industrial Internet and sensor systems was carried out, existing similar solutions were considered, shortcomings in comparison with the proposed method were identified. Ontology concepts for the model of semantic compatibility of sensor systems and the industrial Internet of things platform were developed. The article gives an example of the developed logical inference procedure in the framework of the ontology implementation with use of the free software tool Protégé. Using the proposed approach allows to proceed to knowledge-based interoperability.
本文涉及到如何保证不同类型传感器及其测量结果与工业物联网平台的兼容性问题。为确保语义互操作性而提供的解决方案是基于具有体系结构开发和进一步创建公共本体模型的语义技术。所提供的方法允许集成传感器信息的语义内容和测量结果的排列和归一化方法,这与随后在各种平台上分析和使用工业物联网数据相关,包括用于计算机辅助学习的数据去个性化。对确保工业互联网和传感器系统兼容的监管文件和技术解决方案进行了研究,考虑了现有的类似解决方案,并确定了与所提出方法相比的缺点。提出了传感器系统与工业物联网平台语义兼容模型的本体概念。本文给出了在本体实现框架下,利用自由软件protp - 2013.2013.10开发逻辑推理程序的实例。使用所提出的方法可以继续进行基于知识的互操作性。
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引用次数: 0
SIGNAL PROCESSING IN A ROBOTIC VEHICLE OBSTACLE WARNING RADIO SYSTEM IN THE SUBTERAHERTZ FREQUENCY RANGE 亚太赫兹频率范围内机器人车辆障碍物预警无线电系统的信号处理
Pub Date : 2023-02-15 DOI: 10.18469/ikt.2022.20.2.03
The article describes the features of the implementation of radars with the synthesis of the anterolateral viewing aperture in the subterahertz frequency range, designed to implement an obstacle warning system for a robotic vehicle. It is shown that vibrations with standard deviation systems of about 1 mm representa significant problem for the implementation of SAR modes in the W range. In order to overcome this problem, it is proposed to use Bayesian algorithms for the formation of radar images in conditions of a priori uncertainty.
本文介绍了在亚太赫兹频率范围内合成前外侧观测孔径雷达的实现特点,设计用于实现机器人车辆的障碍物预警系统。结果表明,在W范围内,标准偏差系统约为1mm的振动对SAR模式的实现来说是一个重大问题。为了克服这一问题,提出了在先验不确定性条件下使用贝叶斯算法生成雷达图像。
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引用次数: 0
NEURAL NETWORKS IN MACHINE TRANSLATION 机器翻译中的神经网络
Pub Date : 2023-02-15 DOI: 10.18469/ikt.2022.20.2.10
The article presents the main development stages of the machine translation and the principles of neurolinguistics that can be used for translating tools. Some assumptions about whether neural networks are capable of performing simulation are provided. It is considered how the GLOM theory can change the field of machine translation in future. The purpose is to explore neural networks in the field of machine translation, consider the prospect of their further development and derive principles that will allow neural networks to simulate neurolinguistic processes.This purpose is going to be achieved through the following actions: the analysis of various approaches to machine translation along withneurolinguistics processes in the human brain. Based on the data collected, principles of neural network design are determined. The authors make assumptions about the development of neural networks based on the GLOM.
本文介绍了机器翻译的主要发展阶段,以及可用于翻译工具的神经语言学原理。对神经网络是否具有进行仿真的能力提出了一些假设。展望了GLOM理论将如何改变未来的机器翻译领域。目的是探索机器翻译领域的神经网络,考虑其进一步发展的前景,并推导出允许神经网络模拟神经语言过程的原理。这一目的将通过以下行动来实现:分析机器翻译的各种方法以及人脑中的神经语言学过程。根据收集到的数据,确定了神经网络设计的原则。作者对基于GLOM的神经网络的发展做了一些假设。
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引用次数: 0
COMPARATIVE ANALYSIS OF DEVELOPMENT TOOLS FOR TRAINING PROGRAMS USING VIRTUAL REALITY 虚拟现实培训项目开发工具的比较分析
Pub Date : 2023-02-15 DOI: 10.18469/ikt.2022.20.2.13
VR is the computer technology used to recreate a simulated environment that is perceived by human through the senses, such as sight, hearing, smell, and touch. Unlike classical user interfaces, virtual reality involves the user in the ongoing actions. Instead of looking at the screen in front of them, users can dig into an immersive artificial world and try to interact with it. Thanks to modern technologies, this world can seem quite real. The article compares technology development tools with elements of virtual reality, such as Unity and Unreal Engine 4. According to the review results, the implementation environment for the study is being selected within the framework of the project supported by the Innovation Assistance Fundunder the UMNIK-VR program within the framework of the contract 390GUTSES8- D3/56666 dated December 27, 2019, related to the development of a for the university education program with regard to the FGOS3++ standarts. This program is intended to be used in the educational process as an application based on VR technologies, allowing a deeper understanding of the material studied. This program will allow students to show things that are not available during conventional education: the experience of working with complex equipment that is available for practical development in virtual reality, with no need for its actual purchase.
虚拟现实是一种计算机技术,用于重建人类通过视觉、听觉、嗅觉和触觉等感官感知的模拟环境。与传统的用户界面不同,虚拟现实让用户参与到正在进行的操作中。用户不必盯着眼前的屏幕,而是可以深入到一个沉浸式的人工世界中,并尝试与之互动。多亏了现代科技,这个世界看起来相当真实。本文比较了Unity和虚幻引擎4等虚拟现实元素的技术开发工具。根据审查结果,在2019年12月27日合同390GUTSES8- D3/56666框架下UMNIK-VR计划下的创新援助基金支持的项目框架内选择研究的实施环境,该项目与FGOS3++标准的大学教育计划的开发有关。该程序旨在作为基于VR技术的应用程序用于教育过程中,让学生更深入地了解所学习的材料。该项目将允许学生展示传统教育中无法获得的东西:在虚拟现实中使用可用于实际开发的复杂设备的经验,而无需实际购买。
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引用次数: 0
CONTINUOUS SOFTWARE DELIVERY FOR WEB PROJECTS BASED ON MICROSERVICES 基于微服务的web项目的持续软件交付
Pub Date : 2023-02-15 DOI: 10.18469/ikt.2022.20.2.06
Continuous Integration, Code delivery, and Deployment is a software development automation methodology representingone of the key components of DevOps (an acronym for development & operations). The research object of the present work is a system of continuous delivery and deployment of software projects (SP). In the article the scheme of software infrastructure architecture with continuous integration and code delivery based on SOLID principles is analyzed. A special methodology has been developed to ensure the secure transmission of transport data with encryption and digital signature of documents, which is focused on the projects of the system users. A software project for continuous delivery and deployment of application versions with an auto-configuration system is presented. Project development stages are described in detail. The initial system output is provided.
持续集成、代码交付和部署是一种软件开发自动化方法,代表了DevOps(开发和运营的缩写)的关键组成部分之一。本文的研究对象是一个软件项目的持续交付和部署系统。本文分析了基于SOLID原则的持续集成和代码交付的软件基础架构方案。为确保传输数据的安全传输,已制定了一种特别的方法,并对文件进行加密和数字签名,其重点是系统用户的项目。提出了一种基于自动配置系统的应用程序版本持续交付和部署的软件项目。详细描述了项目开发阶段。提供初始系统输出。
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引用次数: 0
ANALYSIS OF THE PTDM POSSIBILISTIC-TEMPORAL DATA MODEL DISCRIMINATOR IN COMPARISON WITH OTHER FUZZY TEMPORAL INFORMATION STORAGE AND PROCESSING MODELS 分析了PTDM可能性-时间数据模型鉴别器与其他模糊时间信息存储和处理模型的比较
Pub Date : 2023-02-15 DOI: 10.18469/ikt.2022.20.2.01
The article analyzes models and approaches for storing and processing fuzzy temporal information, considers mathematical solutions and computational algorithms for executing complex-structured requests for processing fuzzy temporal data. Mathematical, algorithmic and software implementation of the PTDM possibilistic-temporal data model, generation of methods for processing fuzzy-temporal interaction between time points and/or intervals along with the implementation of the corresponding procedures and functions is provided. The results of a comparative analysis and formalization of the of the PTDM model discriminator in comparison to other approaches to storing and processing fuzzytemporal data are presented.
本文分析了存储和处理模糊时态信息的模型和方法,考虑了执行处理模糊时态数据的复杂结构请求的数学解决方案和计算算法。提供了PTDM可能性时间数据模型的数学、算法和软件实现,生成了处理时间点和/或间隔之间模糊时间交互的方法,并实现了相应的程序和功能。将PTDM模型鉴别器与其他存储和处理模糊时态数据的方法进行了比较分析和形式化。
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引用次数: 0
HETEROLOGY OF MEGASCIENCE SYSTEMS 大科学系统的异源学
Pub Date : 2023-02-15 DOI: 10.18469/ikt.2022.20.2.09
The relevance is due to insufficient knowledge of the processes leading to a decrease in the efficiency of complex hybrid systems of the «human» – «artificial intelligence» type. The work is aimed to study factors that reduce efficiencyof heterogeneous supercomplex systems based on a modern interdisciplinary approach that allows to exceed the scope of available knowledge related to fundamental science and provides new opportunities for technology development. The research was based on the methodology of nature-like systems developed by the Academician Kovalchuk M.V., as the grounds for civilization development in XXI century. The materials of human health research in the modern natural environment, taking into account the effects of the entire solar radiation spectrum, as well as the activity of the sun and the radiation fluxes of deep space were used. Climate, homeostasis and immunity models were used as examples. The research results are aimed at developing the theory of heterology in the field of ensuring the effectiveness of complex hybrid systems such as «human»– «artificial intelligence». A method of disease prevention in order to maintain homeostasis based on nature-like wave technologies is also offered.
相关性是由于对过程的了解不足导致“人类”-“人工智能”类型的复杂混合系统的效率降低。这项工作旨在基于现代跨学科方法研究降低异质超复杂系统效率的因素,该方法允许超越与基础科学相关的现有知识范围,并为技术发展提供新的机会。这一研究是以21世纪文明发展的基础科瓦尔丘克院士提出的类自然系统方法论为基础的。在考虑到整个太阳辐射光谱的影响以及太阳活动和深空辐射通量的情况下,在现代自然环境中进行人类健康研究的材料被使用。以气候、体内平衡和免疫模型为例。研究成果旨在发展异质学理论,以确保“人类”-“人工智能”等复杂混合系统的有效性。本文还提出了一种基于类自然波技术的疾病预防方法,以维持体内平衡。
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引用次数: 0
SPECTRAL METHOD OF HOLOGRAPHIC NOISE-TOLERANT CODING 全息抗噪编码的光谱方法
Pub Date : 2022-09-26 DOI: 10.18469/ikt.2022.20.1.04
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引用次数: 0
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Infokommunikacionnye tehnologii
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