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RuGECToR: Rule-Based Neural Network Model for Russian Language Grammatical Error Correction RuGECToR:基于规则的俄语语法纠错神经网络模型
IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Pub Date : 2024-07-30 DOI: 10.1134/s0361768824700129
I. A. Khabutdinov, A. V. Chashchin, A. V. Grabovoy, A. S. Kildyakov, U. V. Chekhovich

Abstract

Grammatical error correction is one of the core natural language processing tasks. Presently, the open-source state-of-the-art sequence tagging for English is the GECToR model. For Russian, this problem does not have equally effective solutions due to the lack of annotated datasets, which motivated the current research. In this paper, we describe the process of creating a synthetic dataset and training the model on it. The GECToR architecture is adapted for the Russian language, and it is called RuGECToR. This architecture is chosen because, unlike the sequence-to-sequence approach, it is easy to interpret and does not require a lot of training data. The aim is to train the model in such a way that it generalizes the morphological properties of the language rather than adapts to a specific training sample. The presented model achieves the quality of 82.5 in the metric ({{{mathbf{F}}}_{{{mathbf{0}}{mathbf{.5}}}}}) on synthetic data and 22.2 on the RULEC dataset, which was not used at the training stage.

摘要语法纠错是自然语言处理的核心任务之一。目前,GECToR 模型是最先进的开源英语语序标记模型。对于俄语而言,由于缺乏注释数据集,这一问题并没有同样有效的解决方案,这也是当前研究的动机所在。在本文中,我们描述了创建合成数据集并在其上训练模型的过程。GECToR 架构适用于俄语,被称为 RuGECToR。之所以选择这种架构,是因为它不同于序列到序列的方法,易于解释,而且不需要大量的训练数据。其目的是以这样一种方式来训练模型,使其概括语言的形态属性,而不是适应特定的训练样本。所提出的模型在合成数据上的质量指标({{mathbf{F}}}_{{{mathbf{0}}{{mathbf{.5}}}}})达到了 82.5,在 RULEC 数据集上的质量指标(训练阶段没有使用该数据集)达到了 22.2。
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引用次数: 0
Constructing the Internal Voronoi Diagram of Polygonal Figure Using the Sweepline Method 使用扫线法构建多边形图形的内部沃罗诺伊图
IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Pub Date : 2024-07-30 DOI: 10.1134/s0361768824700105
L. M. Mestetskiy, D. A. Koptelov

Abstract

The problem of constructing the internal Voronoi diagram of a polygonal figure—a polygon with polygonal holes—is considered. A method based on the plane sweep paradigm is proposed. Direct construction of only the internal part of the Voronoi diagram allows us to reduce the amount of computations and increase robustness compared to known solutions. Another factor in reducing the computational complexity is the use of the property of pairwise incidence of linear segments formed by the sides of the polygonal figure. To take these features into account, it is proposed to build a data structure called sweep line status in the form of an ordered set of sites’ areas of responsibility. This structure is implemented as a combination of a balanced tree and a bidirectional list. Computational experiments illustrate the numerical reliability and efficiency of the proposed method.

摘要 研究了多边形--带有多边形孔的多边形--内部沃罗诺伊图的构造问题。本文提出了一种基于平面扫掠范式的方法。与已知的解决方案相比,只直接构建沃罗诺伊图的内部部分可以减少计算量并提高鲁棒性。降低计算复杂度的另一个因素是利用多边形边所形成的线性线段成对入射的特性。考虑到这些特点,建议以站点责任区有序集的形式建立一个名为 "扫线状态 "的数据结构。该结构由平衡树和双向列表组合而成。计算实验说明了所提方法在数值上的可靠性和效率。
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引用次数: 0
Comparative Efficiency Analysis of Hashing Algorithms for Use in zk-SNARK Circuits in Distributed Ledgers 用于分布式账本中 zk-SNARK 电路的哈希算法效率比较分析
IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Pub Date : 2024-07-30 DOI: 10.1134/s0361768824700099
D. O. Kondyrev

Abstract

This paper presents a comparative efficiency analysis of hashing algorithms from a perspective of their use in systems based on the zero-knowledge succinct non-interactive argument of knowledge (zk-SNARK). Hash functions sha256, sha3, poseidon, mimc, and blake2, most commonly used in modern distributed ledgers, are considered. For parameter measurement experiments, an infrastructure using the ZoKrates toolbox is developed. Based on experimental data, the limits of practical applicability of the algorithms to the problem of proving knowledge of a hash preimage with zk-SNARK circuits in distributed ledgers are determined, and related efficiency problems are considered.

摘要 本文从散列算法在基于零知识简洁非交互知识论证(zk-SNARK)的系统中使用的角度,对散列算法的效率进行了比较分析。哈希函数 sha256、sha3、poseidon、mimc 和 blake2 是现代分布式账本中最常用的哈希函数。为进行参数测量实验,开发了一个使用 ZoKrates 工具箱的基础架构。基于实验数据,确定了算法在分布式账本中使用 zk-SNARK 电路证明哈希预图像知识问题上的实际应用限制,并考虑了相关的效率问题。
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引用次数: 0
Secure Messaging Application Development: Based on Post-Quantum Algorithms CSIDH, Falcon, and AES Symmetric Key Cryptosystem 安全信息传输应用开发:基于后量子算法 CSIDH、Falcon 和 AES 对称密钥密码系统
IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Pub Date : 2024-07-30 DOI: 10.1134/s0361768824700130
Nhu-Quynh Luc, Tat-Thang Nguyen, Chi-Hung Vu, Duc-Huy Quach, Thanh-Toan Dao

Abstract

In this paper, the authors present a technique for developing a secure messaging service called “CryptoMess” which utilizes the Commutative Supersingular Isogeny Diffie-Hellman (CSIDH) algorithm for secure key exchange and the Advanced Encryption Standard (AES) to protect message content in communication. In addition, the authors have incorporated the Falcon post-quantum digital signature technology to ensure the integrity and authenticity of communications between the sender and the recipient. The novel post-quantum cryptographic algorithms utilized by the authors are still under consideration in the competition to select cryptosystems for use in quantum computing systems organized by the NIST Standards Institute. As a result, the messaging program “CryptoMess” is able to exchange messages between users, providing safety, security, integrity, and authenticity. The authors have included modern post-quantum cryptography techniques, such as the Falcon digital signature system, to guarantee that the product operates safely. The program has a transmitting rate of approximately 209–261 ms and a receiving rate of approximately 168–206 ms. The message signing time is about 260 ms, and the message verification speed is approximately 185 ms. Key generation time is about 741 ms, key encapsulation time is about 1.454 ms, and key decapsulation time is about 1.921 ms. The source code of the “CryptoMess” communications program has been analyzed and tested by the authors using the Fortify Static Code Analyzer tool to ensure that the product has been created safely and securely.

摘要 在本文中,作者介绍了一种名为 "CryptoMess "的安全信息服务开发技术,该技术利用交换超等同源 Diffie-Hellman 算法(CSIDH)进行安全密钥交换,并利用高级加密标准(AES)保护通信中的信息内容。此外,作者还采用了 Falcon 后量子数字签名技术,以确保发送方和接收方之间通信的完整性和真实性。作者采用的新型后量子加密算法仍在美国国家标准与技术研究院(NIST Standards Institute)组织的量子计算系统密码系统选型竞赛中接受审议。因此,信息程序 "CryptoMess "能够在用户之间交换信息,并提供安全性、保密性、完整性和真实性。作者采用了现代后量子加密技术,如猎鹰数字签名系统,以保证产品的安全运行。该程序的发送速率约为 209-261 毫秒,接收速率约为 168-206 毫秒。信息签名时间约为 260 毫秒,信息验证速度约为 185 毫秒。密钥生成时间约为 741 毫秒,密钥封装时间约为 1.454 毫秒,密钥解封装时间约为 1.921 毫秒。作者使用 Fortify 静态代码分析工具对 "CryptoMess "通信程序的源代码进行了分析和测试,以确保该产品的创建安全可靠。
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引用次数: 0
Analytical Review of Confidential Artificial Intelligence: Methods and Algorithms for Deployment in Cloud Computing 机密人工智能的分析评论:在云计算中部署的方法和算法
IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Pub Date : 2024-07-30 DOI: 10.1134/s0361768824700117
E. M. Shiriaev, A. S. Nazarov, N. N. Kucherov, M. G. Babenko

Abstract

The technologies of artificial intelligence and cloud computing systems have recently been actively developed and implemented. In this regard, the issue of their joint use, which has been topical for several years, has become more acute. The problem of data privacy preservation in cloud computing acquired the status of critical long before the necessity of their joint use with artificial intelligence, which made it even more complicated. This paper presents an overview of both the artificial intelligence and cloud computing techniques themselves, as well as methods to ensure data privacy. The review considers methods that utilize differentiated privacy; secret sharing schemes; homomorphic encryption; and hybrid methods. The conducted research has shown that each considered method has its pros and cons outlined in the paper, but there is no universal solution. It was found that theoretical models of hybrid methods based on secret sharing schemes and fully homomorphic encryption can significantly improve the confidentiality of data processing using artificial intelligence.

摘要 人工智能和云计算系统技术最近得到了积极的发展和应用。因此,几年来一直备受关注的二者联合使用问题变得更加尖锐。云计算中的数据隐私保护问题早在其与人工智能联合使用的必要性出现之前就已成为关键问题,这使得问题变得更加复杂。本文概述了人工智能和云计算技术本身以及确保数据隐私的方法。综述考虑了利用差异化隐私的方法、秘密共享方案、同态加密以及混合方法。研究结果表明,论文中概述的每种方法都有其优缺点,但没有通用的解决方案。研究发现,基于秘密共享方案和完全同态加密的混合方法理论模型可以显著提高利用人工智能处理数据的保密性。
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引用次数: 0
Automatic Image Style Transfer using an Augmented Style Set 使用增强样式集自动传输图像样式
IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Pub Date : 2024-06-01 DOI: 10.1134/s0361768824700038
V. Ponamaryov, V. Kitov
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引用次数: 0
Neural Network Method for Detecting Blur in Histological Images 检测组织学图像模糊的神经网络方法
IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Pub Date : 2024-06-01 DOI: 10.1134/s0361768824700026
G. Nazarenko, A. Krylov
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引用次数: 0
Conversion of Point Cloud Data to 3D Models Using PointNet++ and Transformer 使用 PointNet++ 和 Transformer 将点云数据转换为 3D 模型
IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Pub Date : 2024-06-01 DOI: 10.1134/s0361768824700051
M. Sorokin, D. D. Zhdanov, A. Zhdanov
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引用次数: 0
Specifics of the Development of an On-Board Visualization System for Civil Aircrafts 开发民用飞机机载可视化系统的具体细节
IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Pub Date : 2024-06-01 DOI: 10.1134/s0361768824700014
B. Barladian, N. B. Deryabin, A. Voloboy, V. Galaktionov, L. Shapiro, I. Valiev, Y. Solodelov
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引用次数: 0
Joint Super-resolution and Tissue Patch Classification for Whole Slide Histological Images 整张切片组织学图像的联合超分辨率和组织斑块分类
IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Pub Date : 2024-06-01 DOI: 10.1134/s0361768824700063
Zh. Sun, A. Khvostikov, A. Krylov, A. Sethi, I. Mikhailov, P. Malkov
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引用次数: 0
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