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Problems of Combining Multiple Text Recognition Results 合并多种文字识别结果的问题
IF 0.7 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE
Scientific and Technical Information Processing
Pub Date : 2024-03-05 DOI: 10.3103/s0147688223050027
V. V. Arlazarov

Abstract

In this paper, the task of combining recognition results from multiple images is considered. Systems in which such problems occur are analyzed, and some known approaches are described. It should be noted that currently there is no unified approach that could be used to solve the combination problem for increasing text recognition accuracy using multiple images or in a video stream. As an example, a comparative study of three different approaches to the combination of per-frame recognition results of identity document fields is presented, and it is demonstrated that different approaches may be advantageous for different parts of a data set, while a selection of the potential best single result still significantly outperforms all of the analyzed methods. The task of the per-frame combination of recognition results is an important component in video stream recognition systems and requires careful consideration and the formulation of general approaches that would be applicable to various domains.

摘要 本文考虑了将多幅图像的识别结果进行组合的任务。本文分析了出现此类问题的系统，并介绍了一些已知的方法。需要指出的是，目前还没有一种统一的方法可以用来解决组合问题，以提高使用多幅图像或视频流的文本识别准确率。举例来说，本文介绍了对身份文件字段的每帧识别结果进行组合的三种不同方法的比较研究，结果表明，不同的方法可能对数据集的不同部分具有优势，而选择潜在的最佳单一结果仍然明显优于所有分析方法。按帧组合识别结果的任务是视频流识别系统的重要组成部分，需要仔细考虑并制定适用于不同领域的通用方法。
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引用次数: 0
The IACPaaS Platform for Developing Systems Based on Ontologies: A Decade of Use 基于本体论开发系统的 IACPaaS 平台：十年应用
IF 0.7 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE
Scientific and Technical Information Processing
Pub Date : 2024-03-05 DOI: 10.3103/s0147688223050064
V. V. Gribova, Ph. M. Moskalenko, V. A. Timchenko, E. A. Shalfeeva

Abstract—

The paper presents the IACPaaS cloud platform, which is used for creating intelligent services based on ontologies, as well as the conceptual ideas and architecture underlying its development. The main features of the supported technologies for creating intelligent services of various types are described, as the experience of their use. The platform offers an evolved instrumental support for the development of all components of intelligent services. First of all, it was positioned as an environment for creating cloud systems with knowledge bases, and now it is considered to be a tool for software development based on ontologies with semantic representation.

摘要--本文介绍了用于创建基于本体的智能服务的 IACPaaS 云平台，以及其开发所依据的概念思想和架构。文中介绍了用于创建各类智能服务的支持技术的主要特点及其使用经验。该平台为智能服务所有组件的开发提供了先进的工具支持。首先，该平台被定位为利用知识库创建云系统的环境，现在则被视为基于语义表征本体的软件开发工具。
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引用次数: 0
Method of Training a Kernel Tree 训练核树的方法
IF 0.7 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE
Scientific and Technical Information Processing
Pub Date : 2024-03-05 DOI: 10.3103/s0147688223050040
D. A. Devyatkin, O. G. Grigoriev

Abstract

Axis-parallel decision trees perform poorly on that multidimensional sparse data that are frequently input in many tasks. A straightforward solution is to create decision trees that have oblique splits; however, most training approaches have low performance. These models can easily overfit, so they should be combined with a random ensemble. This paper proposes an algorithm to train kernel decision trees. At each stump, the algorithm optimizes a loss function with a margin rescaling approach that simultaneously optimizes the margin and impurity criteria. We performed an experimental evaluation of several tasks, such as studying the reaction of social media users and image recognition. The experimental results show that the proposed algorithm trains ensembles that outperform other oblique or kernel forests in many datasets.

摘要 轴平行决策树在许多任务中经常输入的多维稀疏数据上表现不佳。一个直接的解决方案是创建具有斜分裂的决策树；然而，大多数训练方法的性能都很低。这些模型很容易过拟合，因此应该与随机集合相结合。本文提出了一种训练核决策树的算法。在每个树桩上，该算法通过同时优化边际和杂质标准的边际重缩放方法来优化损失函数。我们对几项任务进行了实验评估，如研究社交媒体用户的反应和图像识别。实验结果表明，在许多数据集中，所提出的算法训练的集合优于其他斜森林或核森林。
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引用次数: 0
Formalization of the Structural Synthesis of Technical Systems at the Initial Stage of Design 设计初始阶段技术系统结构合成的形式化
IF 0.7 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE
Scientific and Technical Information Processing
Pub Date : 2024-03-05 DOI: 10.3103/s0147688223050155
A. V. Zaboleeva-Zotova, A. B. Petrovsky

Abstract

This paper considers the means for conceptual design of complex technical systems. A quasi-axiomatic theory was constructed that formalizes the procedures of generating meaning for a natural language description of the process of creating a new technical solution. Semantic categories, structures of universal sets, and operations for comparing elements of the universe are introduced. The types of connection of elementary subsystems are described. A formalization of the procedure for multilevel synthesis of a technical system using a generative grammar over fuzzy structures is proposed. An example of the design of a technical device is given.

摘要 本文探讨了复杂技术系统概念设计的方法。本文构建了一种准轴对称理论，将创建新技术解决方案过程的自然语言描述的意义生成程序正规化。该理论引入了语义类别、通用集结构和用于比较宇宙元素的操作。描述了基本子系统的连接类型。提出了使用模糊结构生成语法对技术系统进行多层次合成的形式化程序。举例说明了技术设备的设计。
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引用次数: 0
Media Text Headlines in the Context of Information Redundancy 信息冗余背景下的媒体文本标题
IF 0.7 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE
Scientific and Technical Information Processing
Pub Date : 2024-03-05 DOI: 10.3103/s0147688223040020
N. G. Inshakova, I. A. Pankeev

Abstract

The functions of the title in theoretical and practical interpretation are considered. Problems and mistakes of naming are pointed out from the point of view of actual requirements to the information presentation. Recommendations for creating title complex optimal in the situation of information glut are offered. The main conclusions are supported by the results of a group survey of journalism students.

摘要 从理论和实践的角度阐述了标题的功能。从信息呈现的实际要求角度指出了命名的问题和错误。提出了在信息泛滥的情况下创建最佳复合标题的建议。主要结论得到了新闻专业学生小组调查结果的支持。
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引用次数: 0
Internet Traffic Prediction Model 互联网流量预测模型
IF 0.7 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE
Scientific and Technical Information Processing
Pub Date : 2024-03-05 DOI: 10.3103/s0147688223050052
S. L. Frenkel, V. N. Zakharov

Abstract

Many modern machine learning tools are inefficient due to the pronounced nonlinearity of traffic changes and nonstationarity. For this, the task of predicting the signs of increments (directions of change) of the process of time series is singled out. This article proposes the use of some results of the theory of random processes for a quick assessment of the predictability of signs of increments with acceptable accuracy. The proposed procedure is a simple heuristic rule for predicting the increment of two neighboring values for a random sequence. The connection of this approach to time series with known approaches to the prediction of binary sequences is shown. The possibility of using the experience of predicting the absolute values of traffic in predicting the signs of changes is considered.

摘要 由于流量变化具有明显的非线性和非平稳性，许多现代机器学习工具效率低下。为此，预测时间序列过程的增量（变化方向）符号的任务就显得尤为重要。本文建议使用随机过程理论的一些结果，以可接受的精度快速评估增量符号的可预测性。所建议的程序是一个简单的启发式规则，用于预测随机序列两个相邻值的增量。该方法将时间序列与已知的二进制序列预测方法联系起来。还考虑了利用预测流量绝对值的经验来预测变化迹象的可能性。
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引用次数: 0
Business Media Strategies in Analysis of Scientific and Technical Topic 科技专题分析中的商业媒体策略
IF 0.7 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE
Scientific and Technical Information Processing
Pub Date : 2024-03-05 DOI: 10.3103/s0147688223040135
T. I. Frolova, D. S. Ilchenko, E. A. Striga

Abstract

The article presents the results of a study of the genre policy of the leading Russian business journals Forbes Russia, Expert, and Profile when creating analytical publications on technological innovations. The results of this made it possible to formulate the dominant strategies for the journalistic analysis of scientific and technological topics which are characteristic to each publication. Forbes Russia is focused on the analysis of the subjects of the scientific and technological development of the economy, which is reflected in the active use of the case and column genres. The editorial staff of Profile prefers to analyze trends in the scientific and technological development of the economy and society and publishes texts in the genres of review, forecast, and general research article. Expert is dominated by the analysis of current problems in the scientific and technological development of the economy and society, embodied in the publications of works in genres such as practical and analytical articles, case studies, and expert interviews.

摘要 本文介绍了对《俄罗斯福布斯》、《专家》和《概况》等俄罗斯主要商业期刊在创办技术创新分析刊物时的体裁政策的研究结果。根据研究结果，可以制定出各刊物特有的科技主题新闻分析主导策略。俄罗斯福布斯》侧重于分析经济科技发展的主题，这体现在积极使用案例和专栏体裁上。Profile》的编辑人员更倾向于分析经济和社会科技发展的趋势，并以评论、预测和一般研究文章的体裁发表文章。专家》则以分析当前经济和社会科技发展中的问题为主，具体表现为发表实用性和分析性文章、案例研究和专家访谈等体裁的作品。
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引用次数: 0
Software Support for Services for Analyzing the Publication Activity of Employees of a Scientific Organization 为科学组织雇员出版活动分析服务提供软件支持
IF 0.7 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE
Scientific and Technical Information Processing
Pub Date : 2024-03-05 DOI: 10.3103/s0147688223040068
N. B. Bakanova, D. V. Volchkov

Abstract—

The article investigates the development of software services providing automated analysis of qualitative indicators of the publication activity of employees of a scientific organization. The subject of the study is the approaches and methods that make it possible to implement the interaction of information systems of an organization with external bibliometric databases. The information extracted can be used both in the processes of the internal activities of the organization to accumulate data on publication performance and to generate reports on ongoing projects and prepare documents for seminars, conferences, and competitions. The article discusses the possibilities of interaction with databases: Russian Science Citation Index, Web of Science, and Scopus.

摘要--文章研究了对科研机构员工出版活动的定性指标进行自动分析的软件服务的开发。研究的主题是使一个组织的信息系统与外部文献计量数据库实现互动成为可能的方式方法。提取的信息既可用于组织内部活动过程，积累出版业绩数据，也可用于生成进行中项目的报告，为研讨会、会议和竞赛准备文件。文章讨论了与数据库互动的可能性：俄罗斯科学引文索引》、《科学网》和《Scopus》。
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引用次数: 0
Situational-Command Motion Control of an Autonomous Unmanned Aerial Vehicle Searching for Forest Fires in an Unstable Air Environment 在不稳定的空气环境中搜索森林火灾的自主无人飞行器的态势指令运动控制
IF 0.7 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE
Scientific and Technical Information Processing
Pub Date : 2024-03-05 DOI: 10.3103/s0147688223050118
V. B. Melekhin, M. V. Khachumov

Abstract

The major problems associated with the rapid detection of forest fire and smoke are considered based on the use of autonomous unmanned aerial vehicles for flying over and surveying certain areas. A method of searching for forest fires through a locally optimal flight route under conditions of uncertainty has been developed. We propose original provisions of fuzzy sets, which allow an autonomous unmanned aerial vehicle to build an effective information-analytical model of situational-command control for moving along a route obtained in real time. A model of knowledge representation and processing has been developed that allows the automatic synthesis of logical-transformational rules for situational-command motion control of the aircraft’s motion. It is shown that the proposed principle of building an information-analytical model makes it possible to reduce the complexity of selecting effective commands by significantly reducing the number of comparisons of the current situation with reference situations in the process of deriving solutions.

摘要 在使用自主无人驾驶飞行器飞越和勘测某些区域的基础上，考虑了与快速探测森林火灾和烟雾有关的主要问题。我们提出了一种在不确定条件下通过局部最优飞行路线搜索森林火灾的方法。我们提出了独创的模糊集规定，使自主无人驾驶飞行器能够建立一个有效的信息分析模型，对沿实时获得的路线飞行的态势指令进行控制。我们开发了一种知识表示和处理模型，可以自动合成逻辑转换规则，用于飞机运动的态势指令运动控制。结果表明，所提出的建立信息分析模型的原则，通过在推导解决方案的过程中显著减少将当前情况与参考情况进行比较的次数，可以降低选择有效指令的复杂性。
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引用次数: 0
Intelligent System for Predicting the Feasibility of Using Computed Tomography 预测使用计算机断层扫描可行性的智能系统
IF 0.7 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE
Scientific and Technical Information Processing
Pub Date : 2024-03-05 DOI: 10.3103/s0147688223050131
O. P. Shesternikova, V. K. Finn, K. A. Lesko, L. V. Vinokurova

Abstract

This article describes the principles of creating an intelligent system using a JSM method of automated research support (JSM method ARS) to predict the feasibility of computed tomography application. The procedures of JSM research that are adopted to increase the reliability of the empirical regularities obtained in the system are described. The obtained empirical regularities and their expert ratings are given.

摘要 本文介绍了利用自动研究支持的 JSM 方法（JSM 方法 ARS）创建智能系统的原理，以预测计算机断层扫描应用的可行性。文章介绍了为提高系统中获得的经验规律的可靠性而采用的 JSM 研究程序。给出了所获得的经验规律性及其专家评级。
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引用次数: 0
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