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2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)最新文献

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Investigation of the Transition Mechanism to Chaos in Multilayer Neural Networks 多层神经网络向混沌过渡机制的研究
S. Sveleba, I. Katerynchuk, I. Kuno, N. Sveleba, O. Semotyjuk
Multilayer neural networks were considered. The program in the Python software environment was developed. The transition of the network to an unpredictable (chaotic) mode was described by a cascade of bifurcations that follow one another. The chaos was considered as consequence of the increase in the number of local minima in the area of the global minimum. Increasing of the number of layers of the neural network as well as the number of neurons in the hidden layer leads to an increase in the number of local minima when approaching the global minimum, and thus narrows the range of optimal solutions. Fractal structures on bifurcation diagram were observed. Therefore, the solution to the problem of automatic selection of the learning rate is related to the number of existing local minima.
考虑多层神经网络。该程序是在Python软件环境下开发的。网络向不可预测(混沌)模式的过渡由一个接一个的分岔级联来描述。混沌被认为是局部极小值在全局极小值区域内增加的结果。随着神经网络层数的增加以及隐藏层神经元数量的增加,在逼近全局最小值时,局部最小值的数量增加,从而缩小了最优解的范围。在分岔图上观察到分形结构。因此,学习率的自动选择问题的解决与现有局部极小值的个数有关。
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引用次数: 0
Implementation and Validation of LoRa-Based Systems in the 2.4 GHz Band 2.4 GHz频段基于lora系统的实现与验证
Manuel Schappacher, A. Dant, A. Sikora
For the past few years Low Power Wide Area Networks (LPWAN) have emerged as key technologies for the connectivity of many applications in the Internet of Things (IoT) combining low-data rates with strict cost and energy restrictions. Especially LoRa/LoRaWAN enjoys a high visibility on today’s markets, because of its good performance and its open community. Originally LoRa was designed for operation within the Sub-GHz ISM bands for Industrial, Scientific and Medical applications. However, at the end of 2018, a LoRa-based solution in the 2.4GHz ISM-band was presented promising higher bandwidths and higher data rates. Furthermore, it overcomes the limited duty-cycle prescribed by the regulations in the ISM-bands and therefore also opens doors to many novel application fields. Also, due to higher bandwidths and shorter transmission times, the use of alternative MAC layer protocols becomes very interesting, i.e. for TDMA based-approaches. Within this paper, we propose a system architecture with 2.4GHz LoRa components combining two aspects. On the one hand, we present a design and an implementation of a 2.4GHz based LoRaWAN solution that can be seamlessly integrated into existing LoRaWAN back-hauls. On the other hand, we describe deterministic setup using a Time Slotted Channel Hopping (TSCH) approach as defined in the IEEE802.15.4-2015 standard for industrial applications. Finally, measurements show the performance of the system.
在过去的几年中,低功耗广域网(LPWAN)已成为物联网(IoT)中许多应用连接的关键技术,将低数据速率与严格的成本和能源限制相结合。特别是LoRa/LoRaWAN,由于其良好的性能和开放的社区,在当今的市场上享有很高的知名度。最初,LoRa是为工业、科学和医疗应用在Sub-GHz ISM频段内运行而设计的。然而,在2018年底,在2.4GHz ism频段提出了基于lora的解决方案,承诺更高的带宽和更高的数据速率。此外,它克服了ism波段规定的有限占空比,因此也为许多新的应用领域打开了大门。此外,由于更高的带宽和更短的传输时间,替代MAC层协议的使用变得非常有趣,即基于TDMA的方法。在本文中,我们提出了一种结合两个方面的2.4GHz LoRa组件的系统架构。一方面,我们提出了一个基于2.4GHz的LoRaWAN解决方案的设计和实现,该解决方案可以无缝集成到现有的LoRaWAN回程中。另一方面,我们使用IEEE802.15.4-2015工业应用标准中定义的时隙信道跳频(TSCH)方法描述确定性设置。最后,通过测试验证了系统的性能。
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引用次数: 3
LoRa Evaluation for University Campus in Urban Conditions 城市条件下大学校园LoRa评价
Y. Onykiienko, P. Popovych, Anastasiia Mitsukova, Anna Beldyagina, R. Yaroshenko
LoRa technology is widely used as a data collection network in IoT systems. The paper presents the analysis of signal power attenuation in the network deployment within the KPI Campus in urban conditions. Investigation of signal losses was made for scenarios of line of sight (LOS) and non-line of sight (NLOS) points. A model of path losses in urban conditions at distances typical for signal propagation within micro-and macrocells is obtained. The obtained model is compared with known empirical PL models, the efficiency of the LoRa network is estimated at different values of the spreading factor.
LoRa技术作为数据采集网络在物联网系统中得到了广泛的应用。本文对城市条件下KPI校园内网络部署中的信号功率衰减进行了分析。对视线(LOS)和非视线(NLOS)点情况下的信号损失进行了调查。在城市条件下的路径损耗模型,在距离典型的信号传播在微型和大型细胞。将得到的模型与已知的经验PL模型进行比较,在不同的扩展因子值下估计LoRa网络的效率。
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引用次数: 1
Defects Detection in PCB with Ground Plane by Clustering and Flood-fill Algorithms 基于聚类和填充算法的PCB接地缺陷检测
R. Melnyk, Yurii Havrylko, Mariia Levytska
The known K-means clustering and flood-fill algorithms are implemented. To reduce the color number multilevel segmentation by clustering algorithm is realized. A number of levels are taken from user. The etalon PCB image can be used to determine coordinate of pixels forming contacts. The flood-fill algorithm is used to mark contacts, traces and ground plane. The flood-fill algorithm also is used to control contacts of chains. The model of marked chains is being used to detect defects of shot and open in the manufactured PCB.
实现了已知的K-means聚类和洪水填充算法。为了减少颜色数,实现了聚类算法的多级分割。许多级别是从用户中获取的。标准龙PCB图像可以用来确定像素形成接触的坐标。采用填充算法对触点、迹线和地平面进行标记。该算法还用于控制链的接触。利用标记链的模型来检测印制电路板上的弹孔和开口缺陷。
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引用次数: 0
Investigating a Different Approaches to Resolve Binary Classification Task with Unbalanced Dataset 研究一种解决非平衡数据集二值分类任务的不同方法
Dmytro Polokhach, V. Kushnir, Oleksandr Vashchuk
This work represents methods and approaches for training artificial intelligence when dataset is unbalanced. It helps to use existing dataset instead of generating new one which can be very hard and complex. To measure such methods specific performance metrics were provided. Methods and approaches were applied and results were generated.
这项工作代表了当数据集不平衡时训练人工智能的方法和途径。它有助于使用现有数据集,而不是生成非常困难和复杂的新数据集。为了衡量这些方法,提供了具体的性能指标。方法和途径的应用和结果产生。
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引用次数: 0
Traffic Monitoring and Abnormality Detection Methods for IoT 物联网的流量监控和异常检测方法
D. Ageyev, T. Radivilova, Oleg Bondarenko, Othman Mohammed
Monitoring network traffic is an important issues for the networks reliability and security. The statistical model of traffic is at the heart of many methods for detecting traffic anomalies. Existing modern methods of detecting attacks in several cases turn out to be insufficiently reliable, for example, due to the missed moment of the attack, which makes it possible for an attacker to introduce errors into the operation of the system and make it unusable (for example, to carry out a DDOS attack). The main direction of the study was to reduce the impact of the lack of computing resources of IoT devices in the implementation of mechanisms for detecting anomalies. The paper proposes to achieve this through the use of a distributed structure, including cloud computing.
网络流量监控是关系到网络可靠性和安全性的重要问题。交通统计模型是许多检测交通异常方法的核心。现有的检测攻击的现代方法在一些情况下被证明是不够可靠的,例如,由于错过了攻击的时刻,这使得攻击者有可能将错误引入系统的操作并使其无法使用(例如,执行DDOS攻击)。研究的主要方向是减少物联网设备计算资源不足对异常检测机制实施的影响。本文建议通过使用包括云计算在内的分布式结构来实现这一目标。
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引用次数: 7
Access Control and Management System over Real Estate Objects as a Part of IoT Network Community 物联网网络社区中房地产对象的访问控制与管理系统
S. Zagorodnyuk, B. Sus', Anton Komisarov, O. Bauzha
An overview of access control and management systems (ACMS), which are complex hardware and software systems designed to automate access to a given area or premises, a certain list of people or vehicles has been discussed. It is shown that any ACMS system consists of specific important components, has a certain structure and logic of operation. However, almost all industrial ACMS systems are configured with specialized software that is installed on a separate computer. Such software involves configuration settings, accumulation of logs and reports on the activity of the ACMS system, as well as its remote monitoring. Instead, a branch office is often connected to the Internet through a 3g / 4g mobile network, making it unavailable to an external network. The authors suggested a new scientific and technological procedure, which does not require a separate computer, as all the tools for setting up and monitoring the ACMS system are based on a general-purpose microcontroller Raspberry Pi. Because a microcontroller connected to the Internet through a 3g/4g mobile network maintains a permanent connection to the external SOCKS Proxy service, it is thus available to the external network. The new ACMS system provides full remote configuration and management, including viewing user ID logs over a specified time. The performance of the system by filling a test database and creating a program that generates an arbitrary number of network requests to this database to measure the response time of the system has been analyzed.
概述了访问控制和管理系统(ACMS),这是一种复杂的硬件和软件系统,旨在自动进入特定区域或场所,某些人员或车辆列表。研究表明,任何一个ACMS系统都是由特定的重要部件组成,具有一定的结构和运行逻辑。然而,几乎所有工业ACMS系统都配置了安装在单独计算机上的专门软件。这类软件包括配置设置、ACMS系统活动日志和报告的积累,以及远程监控。相反,分支机构通常通过3g / 4g移动网络连接到互联网,使其无法与外部网络连接。作者提出了一种新的科学技术程序,它不需要单独的计算机,因为所有用于设置和监控ACMS系统的工具都基于一个通用的微控制器树莓派。由于通过3g/4g移动网络连接到Internet的微控制器与外部SOCKS代理服务保持永久连接,因此它对外部网络可用。新的ACMS系统提供完整的远程配置和管理,包括在指定时间内查看用户ID日志。通过填充一个测试数据库并创建一个程序向该数据库生成任意数量的网络请求来测量系统的响应时间,分析了系统的性能。
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引用次数: 1
Artificial Intelligence and Number System in Residual Classes 残差类中的人工智能与数字系统
V. Krasnobayev, A. Kuznetsov, Mykhaylo Bagmut, T. Kuznetsova
This article discusses a model of the process of information processing by the human brain, based on the assumption that the storage and processing of information is carried out in a non-positional number system in residual classes (RNS). When accepting the hypothesis about the holographic principle of information processing by the human brain, the expediency and effectiveness of building artificial intelligence systems based on the information processing model in the RNS is obvious. This is due to the fact that the principles and methods of information processing in the RNS are in good agreement with modern concepts and ideas about the process of information processing by the human brain. The accuracy of the description (representation) of the information object G depends on the number and values of the RNS bases. So, the larger the number of RNS bases and the larger they are in value, the more accurately the information object G is described by means of frames. This fact confirms the expediency of using the RNS.
本文在残差类(RNS)非位置数系统中对信息进行存储和处理的假设基础上,讨论了人脑对信息处理过程的模型。在接受人脑信息处理全息原理的假设时,基于RNS中的信息处理模型构建人工智能系统的方便性和有效性是显而易见的。这是由于RNS中信息处理的原理和方法与现代关于人脑信息处理过程的概念和思想非常吻合。信息对象G的描述(表示)的准确性取决于RNS基的数量和值。因此,RNS基的数量越多,其值越大,则通过帧来描述信息对象G的准确性越高。这一事实证实了使用RNS的权宜之计。
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引用次数: 0
Model of Spatial-Frequency Characteristics of Video Application 视频应用的空间-频率特性模型
S. Kiiko, O. Mazurkiewicz, V. Baliar
Article presents investigation of spatial-frequency characteristics of video application. The linear model on video application system was proposed, which comprises path as a generalized spatio-frequency filter and allows to represent two models of aperture correction by modelling two-dimensional spatial-frequency characteristics consistent with the anisotropy of human vision and without the last one.
本文对视频应用的空间-频率特性进行了研究。提出了视频应用系统的线性模型,该模型将路径作为一种广义的空间频率滤波器,通过模拟符合人类视觉各向异性的二维空间频率特性而不考虑最后一种特性来表示孔径校正的两种模型。
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引用次数: 0
A Post-Quantum Secure e-Health System for the Data Management 面向数据管理的后量子安全电子医疗系统
M. Iavich, R. Bocu, G. Iashvili, R. Odarchenko
The concept of a smart city as a broad concept implies a versatile collection, storage and processing of data for the urban community. Obviously, health data is prioritized. The collection of such data is made possible by wearable medical devices. Generally, the mentioned devices do not store any data they, at best, perform limited processing basic functions and have little or no additional processing the capabilities for the collected information. In this article is described an integrated distributed eHealth system that collects the health information from registered city residents and securely stores and processes medical information in the cloud by means of a comprehensive data privacy encryption model that is based on NTRU public-key cryptosystem. A hash-based digital signature mechanism is used to verify that medical data is correctly assigned to the person concerned. The hash-based digital signature scheme is improved by mean of the novel random number generator. The user data is collected by system using the client application module installed on the user’s smart watch or smartphone and safely transfers them to the cloud server. Similar processing of an encrypted data is occurred by means of Apache Spark service. The IBM OpenWhisk Programming Service is responsible for running event-based handlers. The prototype was tested in a real-world example involving five hundred citizens of Brasov, Romania.
智慧城市的概念是一个广泛的概念,意味着城市社区数据的通用收集、存储和处理。显然,健康数据是优先考虑的。可穿戴医疗设备使收集此类数据成为可能。通常,上述设备不存储任何数据,它们最多执行有限的处理基本功能,并且很少或没有对收集的信息进行额外处理的能力。本文介绍了一种集成的分布式电子健康系统,该系统通过基于NTRU公钥加密系统的综合数据隐私加密模型,收集城市注册居民的健康信息,并在云中安全地存储和处理医疗信息。使用基于散列的数字签名机制来验证医疗数据是否正确分配给相关人员。利用新的随机数生成器对基于哈希的数字签名方案进行了改进。系统通过安装在用户智能手表或智能手机上的客户端应用模块收集用户数据,并安全传输到云服务器。加密数据的类似处理是通过Apache Spark服务进行的。IBM OpenWhisk编程服务负责运行基于事件的处理程序。该原型机在罗马尼亚布拉索夫的500名市民中进行了实际测试。
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引用次数: 2
期刊
2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)
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