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2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)最新文献

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Improving user experience with TOTP hardware tokens by implementing QR codes and HID keyboard emulation 通过实现QR码和HID键盘仿真,改进TOTP硬件令牌的用户体验
Emin Huseynov
The paper presents a concept of a device that will introduce an effort to minimize user interaction by transferring the one-time password codes from hardware devices to the main systems via alternative methods to avoid manual entry by implementing keyboard emulation and quick response code generation
本文提出了一种设备的概念,该设备将通过通过实现键盘仿真和快速响应代码生成的替代方法将一次性密码从硬件设备转移到主系统,以避免手动输入,从而引入最小化用户交互的努力
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引用次数: 0
Method of Constructing a Visualization of Threat Model of Information Security 构建信息安全威胁可视化模型的方法
A. V. Manzhosov, I. Bolodurina
One of the most pressing tasks in the field of information security (IS) is the reduction of data processing time. Accurate and detailed data visualization optimizes the analysis process. The article proposes a method for visualizing the IS threat model, which reduce the amount of time to process the IS threat model. The classic way to display the IS threat model is a table. Processing the classical model of IS threats is quite laborious and takes a long time for IS analysts. In addition, there remains the risk of missing part of the information due to the large amount of data. The visualization method proposed in the article includes a two- and three-dimensional representation of the threat model. Such visualization reduces the data processing time for the analyst and can be applied in the field of information security management. The result of this work is an approach to visualization of the IS threat model that takes into account the spatio-temporal factor.
减少数据处理时间是信息安全领域最紧迫的任务之一。准确和详细的数据可视化优化了分析过程。本文提出了一种可视化IS威胁模型的方法,减少了处理IS威胁模型的时间。显示IS威胁模型的经典方法是一个表。对IS分析人员来说,处理IS威胁的经典模型相当费力,需要花费很长时间。此外,由于数据量大,仍然存在丢失部分信息的风险。本文提出的可视化方法包括威胁模型的二维和三维表示。这种可视化减少了分析人员处理数据的时间,可以应用于信息安全管理领域。这项工作的结果是一种考虑到时空因素的is威胁模型的可视化方法。
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引用次数: 1
Development of a Smart Instrumentation for Analyzing Railway Track Health Monitoring Using Forced Vibration 铁路轨道强制振动健康监测智能仪器的研制
B. Chowdhry, A. Shah, N. Harris, T. Hussain, K. Nisar
Harmonic responses play a prominent role in determining metallic faults in railways. Therefore, it is useful to develop some instrumentation governed by the principles of forced vibration to evaluate the health condition of a railway track. The conventional systems developed to identify track damage have large deviations in measurements and are not reliable for examining track faults such as track drainage faults and surface damaged faults. This study focuses on the development of an instrument that analyzes track damage wirelessly in real time. Based on forced vibration, the relation between the harmonic response with the amplitude is demonstrated. The developed instrument was validated on an actual railway track. The result shows that, the developed instrument can be used to determine the serviceability of the railway track, thus avoiding any potential catastrophic events.
谐波响应在铁路金属故障诊断中起着重要作用。因此,研制一些受迫振动原理控制的仪器来评价铁路轨道的健康状况是有益的。传统的轨道损伤识别系统测量偏差较大,对于轨道排水故障和表面损伤故障等轨道故障的检测不可靠。本研究的重点是开发一种能够实时无线分析轨道损伤的仪器。在受迫振动的基础上,给出了结构的谐波响应与幅值的关系。所研制的仪器已在实际轨道上进行了验证。结果表明,所研制的仪器可用于确定铁路轨道的可用性,从而避免任何潜在的灾难性事件。
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引用次数: 4
QCA based Priority Encoder using Toffoli gate 基于Toffoli门的QCA优先编码器
N. Safoev, Ganiev Abdukhalil, Karimov Abduqodir Abdisalomovich
This paper presents a design of a reversible priority encoder that is an important element for encoding and decoding addresses. Promising nanotechnology, Quantum-dot Cellular Automata (QCA), is a possible platform for implementing reversible circuits. In this paper, a reversible 4 to 2 priority encoder architecture is proposed with low complexity on the QCA platform. In order to implement a reversible encoder circuit, the low-cost design of the Toffoli gate is proposed. Structural analysis using the QCADesigner simulation tool is carried out to evaluate the proposed designs.
本文提出了一种可逆优先编码器的设计,它是地址编码和解码的重要组成部分。有前途的纳米技术,量子点细胞自动机(QCA),是实现可逆电路的可能平台。本文在QCA平台上提出了一种低复杂度的可逆4到2优先级编码器结构。为了实现可逆的编码器电路,提出了一种低成本的托佛利门设计方法。使用qcaddesigner仿真工具进行结构分析,以评估所提出的设计。
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引用次数: 1
Analysis of vehicle formations using the eigenprojection of the Laplacian matrix 利用拉普拉斯矩阵的特征投影分析车辆编队
R. Agaev
Agreement problems in second-order multiagent systems of vehicle formations are studied. In particular, the asymptotic behavior of a group of transport objects for a linear model was derived using the eigenprojection of the Laplacian matrix of the communication digraph.
研究了车辆编队的二阶多智能体系统中的一致性问题。特别地,利用通信有向图的拉普拉斯矩阵的本征投影,导出了线性模型中一组传输对象的渐近行为。
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引用次数: 0
Named Entity Recognition Algorithms Comparison For Judicial Text Data 司法文本数据命名实体识别算法比较
Kuralbayev Aibek, Mukhsimbayev Bobur, Bekbaganbetov Abay, Fuad Hajiyev
The more developed the society, the higher the role of legal relations. Accordingly, the number of court appeals is growing rapidly both from individuals and legal entities. Therefore, in any society the following tasks become extremely important.1)Reducing the time spent for the legal process, including reducing "errors" at various levels.2)Reducing the number of appeals to the courts and increasing the role of mediation.The authors have developed a prototype of the "Smart Judge Assistant", SJA, recommender system, which largely solves both tasks. The prototype of the recommender system has already successfully passed the first stage of testing by the Supreme Court of the Republic of Kazakhstan.When developing the prototype, the authors faced various problems related to text recognition. One of them is the problem of data publicity.Objective of the article: One of the main tasks in making documents public, is to hide personal data of parties. In this article we compare several Named Entity Recognition (NER) models to extract personal information from judicial acts (in russian and kazakh languages), such as a person name, an organization name and a location name.Methodology: Four types of algorithms were chosen for training NER models: CRF (Conditional Random Fields), LSTM (Long Short Term Memory) with character embeddings, LSTM-CRF and BERT (Bidirectional Encoder Representations from Transformers).Findings: Models trained by all four algorithms have reasonably high accuracy because of the almost alike structure of source documents in judicial dataset. BERT algorithm shows the best performance out of four algorithms (F1 score: 0.87).
社会越发达,法律关系的作用就越高。因此,个人和法人向法院提出上诉的数目正在迅速增加。因此,在任何社会中,以下任务都变得极其重要:1)减少法律程序所花费的时间,包括减少各级“错误”。2)减少向法院上诉的次数,增加调解的作用。作者开发了一个“智能法官助理”(Smart Judge Assistant, SJA)推荐系统的原型,在很大程度上解决了这两个任务。推荐系统的原型已经成功地通过了哈萨克斯坦共和国最高法院的第一阶段测试。在开发原型时,作者面临着与文本识别相关的各种问题。其中之一就是数据公开的问题。文章目的:文件公开的主要任务之一是隐藏当事人的个人信息。在本文中,我们比较了几种命名实体识别(NER)模型,以从司法行为(俄语和哈萨克语)中提取个人信息,如人名、组织名称和地点名称。方法:选择了四种算法来训练NER模型:CRF(条件随机场),LSTM(长短期记忆)与字符嵌入,LSTM-CRF和BERT(来自变形金刚的双向编码器表示)。结果:由于司法数据集中的源文件结构几乎相同,因此四种算法训练的模型具有相当高的准确性。BERT算法在四种算法中表现最好(F1得分为0.87)。
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引用次数: 3
Multimedia technologies to teach Sign Language in a written form 以书面形式教授手语的多媒体技术
M. Myasoedova, Z. P. Myasoedova, M. Farkhadov
In this paper we investigate the features of signs in the Sign Languages and the related problems of how to describe the features linguistically. We present a brief overview of the existing Sign notations; the notations allow us to record all Sign elements in the form of a sequence of characters using alphabetic, digital, and various graphic elements. Also, we substantiate our choice of SignWriting system to record Russian Sign Language, where the signs and rules allow us to set the spatio-temporal form of Signs compactly and precisely. Next, we give examples of a Sign Writing using these characters. Finally, we demonstrate the multimedia program «SWiSL», an on-line platform to help people improve their recognition skills in Sign Language writing.
本文探讨了手语中符号的特征以及如何从语言上描述这些特征的相关问题。我们简要概述了现有的符号符号;符号允许我们使用字母、数字和各种图形元素以字符序列的形式记录所有Sign元素。此外,我们证实了我们选择的符号书写系统来记录俄罗斯手语,其中的符号和规则允许我们紧凑而精确地设置符号的时空形式。接下来,我们给出一些使用这些字符的符号书写的例子。最后,我们演示了多媒体程序“SWiSL”,这是一个帮助人们提高手语写作识别技能的在线平台。
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引用次数: 1
Artifact Detection in Chronically Recorded Local Field Potentials using Long-Short Term Memory Neural Network 基于长短期记忆神经网络的慢性记录局部场电位伪影检测
Marcos I. Fabietti, M. Mahmud, Ahmad Lotfi, Alberto Averna, D. Guggenmos, R. Nudo, M. Chiappalone
The process of recording local fields potentials (LFP) can be contaminated by different internal and external sources of noise. To successfully use these recordings, noise must be removed, for which an automatic detection tool is needed to speed up the detection process. This work presents the use of a specific configuration of the recurrent neural network based machine learning approach, known as the long-short term memory (LSTM), in two different settings to identify artifacts and compares the obtained results to a feed forward neural network both in terms of classification performance and computational time. Using spontaneous LFP signals recorded chronically by multisite neuronal probes in behaving rats, our results show that the LSTM model with and without drop out can achieve an accuracy of 87.1%.
局部场电位的记录过程会受到不同的内外部噪声源的污染。为了成功地使用这些录音,必须去除噪音,为此需要自动检测工具来加快检测过程。这项工作介绍了在两种不同的设置中使用基于循环神经网络的特定配置的机器学习方法,称为长短期记忆(LSTM),以识别工件,并在分类性能和计算时间方面将获得的结果与前馈神经网络进行比较。使用行为大鼠多位点神经元探针长期记录的自发LFP信号,我们的结果表明,有和没有drop - out的LSTM模型可以达到87.1%的准确率。
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引用次数: 9
Integrated approach to the development and implementation of distance courses for school computer science teachers 学校计算机科学教师远程课程开发与实施的综合方法
M. Mukasheva, O. Chorosova, Zh.O. Zhilbayev, Y. Payevskaya
Modern digital technologies provide means for implementing a variety of ideas and plans in a different format and in a short time. An integrated approach using the results of basic research and various tools and methods of transmitting information is considered under the example of developing a distance advanced course for computer science teachers. In the course of fundamental research (2018-2020) of the influence of programming on the development of thinking of students in schools, new knowledge was obtained and various methodological techniques were developed for teaching programming. The distance course, which consists of 7 modules, includes some of the results of this research and is intended for computer science teachers. 21 students from different regions of Kazakhstan and the Republic of Sakha studied on the distance course in a short time. The approach we propose is convenient in that, in conditions of forced isolation from the professional community due to COVID-19, it allows acceleration of the dissemination of research results and their implementation in training practice.
现代数字技术为在短时间内以不同的形式实现各种想法和计划提供了手段。以计算机科学教师远程高级课程的开发为例,探讨了利用基础研究成果和各种信息传递工具和方法的综合方法。在编程对学校学生思维发展影响的基础研究(2018-2020)过程中,获得了新的知识,开发了编程教学的各种方法技术。远程课程由7个模块组成,包括本研究的一些成果,面向计算机科学教师。来自哈萨克斯坦和萨哈共和国不同地区的21名学生在短时间内学习了远程课程。我们提出的方法是方便的,因为在因新冠肺炎而被迫与专业社区隔离的情况下,它可以加速研究成果的传播和在培训实践中的实施。
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引用次数: 1
Development of a geographic information system for managing university campus 高校校园地理信息管理系统的开发
Y. Gritsenko, P. Senchenko, Konstantin A. Kalentiev
This paper presents the architecture, design features and a description about the use of the geographic information system in university campus management. The system architecture is based on the standards of the international organization Open Geospatial Consortium using software products that meet the requirements of free software. This development is intended to manage socio-economic processes in the heterogeneous information environment of Tomsk State University of Control Systems and Radio Electronics.
本文介绍了地理信息系统的体系结构、设计特点,并对地理信息系统在高校校园管理中的应用进行了描述。系统架构基于国际组织Open Geospatial Consortium的标准,使用满足自由软件要求的软件产品。这一发展旨在管理托木斯克国立控制系统和无线电电子大学异构信息环境中的社会经济进程。
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引用次数: 0
期刊
2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)
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