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Scientific and Technical Journal of Information Technologies, Mechanics and Optics最新文献

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Brain MRT image super resolution using discrete cosine transform and convolutional neural network 脑磁共振成像超分辨率使用离散余弦变换和卷积神经网络
Q4 Engineering Pub Date : 2023-08-01 DOI: 10.17586/2226-1494-2023-23-4-734-742
Pooja Singh, D. Ganotra
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引用次数: 0
An enhanced AES-GCM based security protocol for securing the IoT communication 增强的基于AES-GCM的安全协议,用于保护物联网通信
Q4 Engineering Pub Date : 2023-08-01 DOI: 10.17586/2226-1494-2023-23-4-711-719
A. B. F. Khan, S. Devi, K. Rama, А.Б. Фероз,  Хан1, Деви С. Калпана, К. Рама Деви
In the recent years, the devices in Internet of Things (IoT) are growing exponentially due to the emergence of many sophisticated applications. This tremendous growth leads to serious security challenges and the devices of Wireless Sensor Networks should be protected from various attacks. IoT can be configured dynamically without fixed infrastructure and the devices are communicated with one another in an Ad-hoc manner. The work presents the classification of various DDoS attacks in the IoT environment and provides a solution for replay attack. All variations of DDoS attacks are modeled using UML based activity modeling. This clearly understands the behavior of each version of attacks and their performance in the environment. The modeling also helps to construct a solution to prevent this attack from its execution. The work also proposed a trust based protocol for replay attacks which allows the attack inside the network and blocks it after identifying the attack based on its specific behavior. The network performance is improved after implementing this proposed protocol inside the network with help of simulation under realistic conditions. The performance metrics considered in the work are energy, packet loss, computational time and throughput. The paper compares the performance with the state-of-the-art schemes such as Efficient Distributed Deterministic Key and Hash-based Message Authentication Code. The experimental analysis proved that the proposed scheme outperforms the other state-of-the-works in terms of computational cost, throughput, and delay.
近年来,由于许多复杂应用的出现,物联网(IoT)中的设备呈指数级增长。这种巨大的增长带来了严重的安全挑战,无线传感器网络的设备应该受到各种攻击的保护。物联网可以在没有固定基础设施的情况下动态配置,设备以Ad-hoc方式相互通信。本文提出了物联网环境下各种DDoS攻击的分类,并提供了一种针对重放攻击的解决方案。使用基于UML的活动建模对DDoS攻击的所有变体进行建模。这清楚地了解了每个版本的攻击行为及其在环境中的性能。建模还有助于构建解决方案,以防止这种攻击的执行。该工作还提出了一种基于信任的重放攻击协议,该协议允许攻击在网络内进行,并根据攻击的具体行为识别攻击后阻止攻击。在网络内部实现了该协议,并在实际条件下进行了仿真,提高了网络性能。工作中考虑的性能指标是能量、丢包、计算时间和吞吐量。本文将其性能与高效分布式确定密钥和基于哈希的消息认证码等最新方案进行了比较。实验分析证明,该方案在计算成本、吞吐量和延迟方面都优于其他方案。
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引用次数: 0
Approach to the generalized parameters formation of the complex technical systems technical condition using neural network structures 应用神经网络结构研究复杂技术系统技术条件的广义参数形成
Q4 Engineering Pub Date : 2023-08-01 DOI: 10.17586/2226-1494-2023-23-4-828-835
Георгий Николаевич Мальцев, Виктор Леонидович Якимов, Georgy N. Maltsev, Victor L. Yakimov
Подход к формированию обобщенных параметров технического состояния сложных технических систем c использованием нейросетевых структур
使用神经网络结构形成复杂技术系统技术状态综合参数的方法
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引用次数: 0
Optimization of human tracking systems in virtual reality based on a neural network approach 基于神经网络方法的虚拟现实人体跟踪系统优化
Q4 Engineering Pub Date : 2023-08-01 DOI: 10.17586/2226-1494-2023-23-4-786-794
A. Obukhov, D. Teselkin
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引用次数: 0
The exact solution of a shock wave reflection problem from a wall shielded by a gas suspension layer 由气体悬浮层屏蔽的墙壁反射激波问题的精确解
Q4 Engineering Pub Date : 2023-08-01 DOI: 10.17586/2226-1494-2023-23-4-843-849
Дмитрий Викторович,  Садин1, Елена Николаевна Широкова, Dmitry V. Sadin, Elena N. Shirokova
The paper is devoted to solving the shockwave reflection problem from a wall shielded by a gas suspension layer. The dynamics of the gas suspension are described in a two-speed two-temperature formulation. In contrast to the known
本文研究了气体悬浮层屏蔽壁面的冲击波反射问题。气体悬浮液的动力学用双速双温公式来描述。与已知的相反
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引用次数: 0
Low-temperature cell for IR Fourier spectrometric investigation of hydrocarbon substances 用于碳氢化合物红外傅立叶光谱研究的低温电池
Q4 Engineering Pub Date : 2023-08-01 DOI: 10.17586/2226-1494-2023-23-4-696-702
Alisher A. Kenbay, O. Golikov, Abdurakhman U. Aldiyarov, Darkhan E. Yerezhep, Алишер Асылбекулы Кенбай, Олег Юрьевич Голиков, Абдурахман Уалиевич Алдияров, Дархан Есейұлы Ережеп
A specialized low-temperature measuring cell with a cryogenic capillary system for infrared spectral analysis of ethanol developed by the authors is presented. The use of the created low-temperature cell is possible for further studies of the low-temperature properties of both pure ethanol and mixtures with its contents, which is currently an urgent task, and the data obtained with its help can be used for ice research. Two methods of ethanol research at low temperature are presented in comparison. In the first method proposed by the authors, a specially developed low-temperature measuring cell based on a diffuse reflection prefix of the Fourier spectrometer FSM 2203 with a cryogenic capillary system is used. This system allows you to achieve the required low-temperature regime at normal atmospheric pressure. The results of the experiment are compared with the traditional method of gas-phase condensation of the test sample under low temperature conditions at the pressure P = 1.0·10 –5 Torr. Infrared spectra of low molecular weight amorphous and crystalline ethanol were obtained at a temperature of 150 K at normal atmospheric pressure and in vacuum. Comparison of experimental results confirmed the operability of the new installation. In the experiments, peaks were observed in the absorption bands from 2850 to 3000 cm –1 and from 2950 to 3100 cm –1 , corresponding to the valence CH vibrations of ethanol as well as in the absorption bands from 3150 to 3400 cm –1 and from 3300 to 3500 cm –1 , which corresponds to the valence vibrations of OH. The results of the study showed the prospects of the proposed method and can be useful by researchers in the field of low-temperature spectroscopy at normal pressure.
介绍了一种专门用于乙醇红外光谱分析的低温毛细管低温测量池。使用所创建的低温电池可以进一步研究纯乙醇及其混合物的低温特性,这是目前的一项紧迫任务,并且在其帮助下获得的数据可用于冰研究。对两种低温乙醇研究方法进行了比较。在作者提出的第一种方法中,使用了一种专门开发的低温测量单元,该单元基于fsm2203傅立叶光谱仪的漫反射前缀,带有低温毛细管系统。该系统允许您在正常大气压下实现所需的低温状态。实验结果与传统的低温条件下测试样品在压力P = 1.0·10 -5 Torr条件下的气相冷凝方法进行了比较。在常压150 K和真空条件下,获得了低分子量无定形乙醇和结晶乙醇的红外光谱。实验结果的对比验证了新装置的可操作性。实验中,2850 ~ 3000 cm -1和2950 ~ 3100 cm -1的吸收波段出现峰值,对应乙醇的CH价振动;3150 ~ 3400 cm -1和3300 ~ 3500 cm -1的吸收波段出现峰值,对应OH的价振动。研究结果显示了该方法的应用前景,可为常压低温光谱研究提供参考。
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引用次数: 0
Buckling analysis of an orthotropic cylindrical shell structure in the ANSYS Mechanical APDL software package ANSYS机械APDL软件中正交各向异性圆柱壳结构的屈曲分析
Q4 Engineering Pub Date : 2023-06-01 DOI: 10.17586/2226-1494-2023-23-3-618-627
Дмитрий Сергеевич Петров, Алексей Александрович Семенов, D. Petrov, A. Semenov, Алексей Александрович Семенов
устойчивости ортотропной цилиндрической оболочечной
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引用次数: 0
Facial keypoints detection using capsule neural networks 基于胶囊神经网络的人脸关键点检测
Q4 Engineering Pub Date : 2023-06-01 DOI: 10.17586/2226-1494-2023-23-3-506-518
Антон Александрович,  Бойцев1, Дмитрий Геннадьевич Волчек, Егор Николаевич Магазенков, Максим Кириллович Неваев, Алексей Андреевич Романов, A. Boitsev, D. Volchek, Egor N. Magazenkov, Maxim K. Nevaev, A. A. Romanov
Детекция ключевых точек лица с помощью капсульных нейронных сетей Антон Александрович Бойцев 1  , Дмитрий Геннадьевич Волчек 2 , Егор Николаевич Магазенков 3 , Максим Кириллович Неваев
神经网络的侦查点关键脸用lanvin安东尼奥alexandrovich战士1,德米特里Геннадьевич沃尔查克2 3 egor nikolaevichмагазенк麦克斯kirillovichнева
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引用次数: 0
Experimental method for estimating the dynamic error of devices and sensors under their operating conditions 装置和传感器在工作状态下动态误差估计的实验方法
Q4 Engineering Pub Date : 2023-06-01 DOI: 10.17586/2226-1494-2023-23-3-652-658
D. Gryazin, O. Belova
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引用次数: 0
Mathematical modelling of tri-layer dielectric OTFT based on pentacene semiconductor for enhancing the electrical characteristics 基于并五苯半导体的三层介电OTFT的数学建模
Q4 Engineering Pub Date : 2023-06-01 DOI: 10.17586/2226-1494-2023-23-3-473-482
D. Panghal, R. Yadav
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引用次数: 0
期刊
Scientific and Technical Journal of Information Technologies, Mechanics and Optics
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