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GNSS Interference Suppression Techniques: A Survey GNSS干扰抑制技术综述
IF 0.8 Pub Date : 2021-12-18 DOI: 10.21608/ijt.2021.266285
Mustafa Abd el rahman, Mohamed elharmel, Roshdy Abdelrasol, Mohamed Zagloul, M. Elghamry
: Positioning is very important worldwide in several fields, and it can be deter-mined by several ways. The most popular ways are Global Navigation Satellite System (GNSS) and Inertial Navigation Systems (INS). Both techniques have advantages and disadvantages. Accurate positioning is one of the privileges of GNSS, while INS overtops in indoor places, despite low accuracy after long duration. Sensibility to interference and multipath are the principal downsides of GNSS structure, which might be the two primary assets of mistakes in position estimations. The main impact of interference at (GNSS) receiver, consequently dropping its cap potential to navigate, is that it lessens the signal to noise ratio (SNR) of navigational signal such that the receiver is not able to reap measure-ments from the satellite. A comprehensive survey of interference suppression methods is presented in this paper and the interference suppression techniques are compared. Two new recommended filter designs to detect spoofing and optimize acquisition in the presence of interference are proposed.
定位在世界范围内的许多领域都是非常重要的,它可以通过几种方法来确定。最常用的方法是全球导航卫星系统(GNSS)和惯性导航系统(INS)。这两种技术各有优缺点。准确定位是GNSS的优势之一,而INS在室内位置占优,尽管长时间使用精度较低。对干扰的敏感性和多径是GNSS结构的主要缺点,这可能是位置估计错误的两个主要资产。干扰对(GNSS)接收机的主要影响是降低导航信号的信噪比(SNR),从而使接收机无法从卫星获得测量值。本文对干扰抑制方法进行了综述,并对各种干扰抑制技术进行了比较。提出了两种新的推荐滤波器设计,用于检测欺骗和优化干扰下的采集。
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引用次数: 0
Improving Performance of the Fitness Exercises Repetitions Counter via Computational Complexity Reduction 通过降低计算复杂度来提高健身练习重复计数器的性能
IF 0.8 Pub Date : 2021-12-18 DOI: 10.21608/ijt.2021.266219
Youssef Fayad, M. Mostafa, Hossam Reda, K. Saad, M. Mohamed
: The COVID-19 precautions had forced us to look for different techniques that enable the continuity of our ordinary life activities, especially the sports ones. In addition, the need for accurate and fast auto judgment techniques to measure physical fitness performance is constantly emerging. The artificial intelligence (AI) with multi-resolution counter had introduced method relays on Artificial Intelligence to realize this purpose, but this method has a high processing time. Modifying the algorithm structure and the inputs features leads to low computational cost. This paper presents a modified algorithm that reduces the computational costs for the optical flow equation This reduction is executed via two techniques; the first one is to execute Gunner Franeback algorithm for number of pixels less than had been used in the previous model via selecting the more weighted pixels that closer to the central pixel, the second one is to employ Model Quantization technique by using Tensor flow Lite as a proposed model. Experimental results indicate that the proposed method has low computational cost, reliable and robust, and can be applied as practical applications. The performance of the experiments was verified by comparing its time complexity with the AI with multi-resolution counter depending on ground truth data. complexity.
COVID-19的预防措施迫使我们寻找不同的技术,使我们的日常生活活动,特别是体育活动能够连续性。此外,对准确、快速的自动判断技术的需求也在不断涌现。具有多分辨率计数器的人工智能(AI)已经引入了依靠人工智能来实现这一目的的方法,但这种方法具有较高的处理时间。修改算法结构和输入特征可以降低计算成本。本文提出了一种改进的算法,该算法通过两种技术降低了光流方程的计算成本;第一种方法是通过选择更接近中心像素的权重更大的像素,对比之前模型少的像素数执行Gunner Franeback算法;第二种方法是采用模型量化技术,使用Tensor flow Lite作为提出的模型。实验结果表明,该方法计算成本低,可靠性好,鲁棒性好,可用于实际应用。通过将其时间复杂度与基于地面真值数据的多分辨率计数器人工智能进行比较,验证了实验的性能。的复杂性。
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引用次数: 0
Fast Convergence Modified Particle Swarm Optimization Al-gorithm to Follow up String PV Modules Maximum Power Point under Different Climatic Conditions 不同气候条件下串式光伏组件最大功率跟踪的快速收敛改进粒子群算法
IF 0.8 Pub Date : 2021-12-18 DOI: 10.21608/ijt.2021.266173
Ehab Ali, A. Abdelsalam, Ahmed HossamEldin
: Photovoltaics are extensively used as a premium device for generating electricity from solar planet's power. Under uniform radiation, the photovoltaics' output characteristics have a non-linear frame with a unique maximum power point. This point changes its position when a sudden change in solar radiation occurs. Otherwise, when the PV string is subjected to partial shading conditions, several power peaks have appeared with only one Global maximum power. The classical maximum power point tracking strategies always fails to deal with these dynamic difficulties, especially, under unex-pected climatic changes. Many soft computing methods are previously constructed to deal with these problems, but the main hurdles remain how to manage this tracking with the fastest time, the smallest power oscillations, and the greatest efficiency. In this paper, a modified Particle Swarm Optimization algorithm was proposed that capable of excluding or promoting certain parts of the solution search area until reach and track the max power point. The suggested method has been simulated and practically tested and the results indicate that the suggested method outperforms the typical Particle Swarm Optimization algorithm with regards to the speed of Global maximum power point tracking with the lowest oscillation and highest efficiency. (PS); Particle Swarm Optimization (PSO); Global Maximum Power Point (GMPP).
光伏发电作为一种利用太阳能发电的优质设备被广泛使用。在均匀辐射下,光伏输出特性呈非线性框架,具有唯一的最大功率点。当太阳辐射发生突然变化时,这一点就会改变它的位置。否则,当PV串处于部分遮阳条件下时,出现多个功率峰值,只有一个全局最大功率。经典的最大功率点跟踪策略往往不能处理这些动态问题,特别是在气候变化的情况下。许多软计算方法已经被构建来处理这些问题,但主要的障碍仍然是如何以最快的时间、最小的功率振荡和最大的效率来管理这种跟踪。本文提出了一种改进的粒子群优化算法,能够排除或促进解搜索区域的某些部分,直到到达并跟踪最大功率点。仿真和实际测试结果表明,该方法在全局最大功率点跟踪速度、振荡最小、效率最高等方面优于典型粒子群算法。(PS);粒子群优化(PSO);全局最大功率点(GMPP)。
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引用次数: 1
Research on the Application of Power Communication Technology in Smart Grid 电力通信技术在智能电网中的应用研究
IF 0.8 Pub Date : 2021-01-31 DOI: 10.18282/JNT.V2I4.1437
Qian Zhou
The continuous development of modern society, science and technology has promoted the rapid development of various industries in China and greatly supported social development and people’s lives. Among them, the power system is an important part. Perfecting the power system and building a high-quality power grid system need to be focused on at present. This article mainly analyzes the necessity of applying power communication technology in smart grid and the demand of smart grid for power communication technology. Some specific application suggestions are put forward for reference.
现代社会的不断发展,科学技术促进了中国各行业的快速发展,极大地支持了社会发展和人民生活。其中,电力系统是一个重要的组成部分。完善电力系统,建设高质量电网系统是当前的重点。本文主要分析了在智能电网中应用电力通信技术的必要性以及智能电网对电力通信技术的需求。提出了一些具体的应用建议,供参考。
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引用次数: 4
Research on Computer Applications Based on Management of Network Information Security Technology 基于网络信息安全技术管理的计算机应用研究
IF 0.8 Pub Date : 2020-10-15 DOI: 10.18282/jnt.v2i3.1113
Xiaofeng Ma, Norriza Hussin
With the rapid development of computer network, the fully opened network has greatly changed people’s production and daily life and the traditional industries are no longer closed. However, there are also many network security problems. To deal with it, this article explores the computer applications based on management of network information security technology. It analyzes the main factors threatening network information security from the security problems caused by computer applications. Combining with the application practice, specific measures are put forward for reference.
随着计算机网络的飞速发展,完全开放的网络极大地改变了人们的生产和日常生活,传统行业不再是封闭的。然而,网络安全问题也很多。针对这一问题,本文探讨了基于计算机应用管理的网络信息安全技术。从计算机应用带来的安全问题出发,分析了威胁网络信息安全的主要因素。结合应用实践,提出了具体措施,供参考。
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引用次数: 0
Evaluating on Topology Survivability Based on Largest Number of Node-Disjoint Paths 基于最大节点不相交路径数的拓扑生存性评价
IF 0.8 Pub Date : 2020-10-15 DOI: 10.18282/jnt.v2i3.1107
Qiurong Chen
On the point of view of Largest Number of Node-Disjoint Path (LNNDP for short) between a node pair in a network, this article states the importance of LNNDP to global survivability of topology at first, then proposes an algorithm to compute maximal number of node-disjoint paths between node pairs. A new topology survivability metric based on LNNDP is put forward to evaluate the global survivability of network topology. It can be used to evaluate the survivability of topology provided. This metric can express accurately global topology survivability.
从网络中节点对间最大节点不相交路径数(LNNDP)的角度出发,首先阐述了节点对间最大节点不相交路径数对拓扑整体生存能力的重要性,然后提出了一种计算节点对间最大节点不相交路径数的算法。提出了一种新的基于LNNDP的拓扑生存性度量来评估网络拓扑的全局生存性。它可用于评估所提供拓扑的生存能力。该指标能够准确表达全局拓扑生存能力。
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引用次数: 0
IACAP: Internet-Exposed Assets Cybersecurity Analysis Platform 互联网资产网络安全分析平台
IF 0.8 Pub Date : 2020-10-01 DOI: 10.4018/ijitn.2020100109
Mingsheng Yin, Santiago Figueroa, J. Añorga, S. Arrizabalaga, Y. Sun
With the expansion and development of the internet protocol, the number of cybersecurity vulnerabilities has also increased. However, it is difficult to find a reliable way to detect the vulnerability in the internet-exposed asset. This paper proposes a new design of analysis platform that integrates the cybersecurity data and an internet-exposed asset search engine. Based on this design, it provides a convenient and up-to-date solution for the users to detect the devices' vulnerability crossing internet. Meanwhile, this platform offers suggestions in terms of resolving the cybersecurity problem.
随着互联网协议的扩展和发展,网络安全漏洞的数量也在不断增加。然而,很难找到一种可靠的方法来检测暴露在互联网上的资产中的漏洞。本文提出了一种将网络安全数据与网络资产搜索引擎相结合的分析平台设计。基于此设计,为用户跨互联网检测设备漏洞提供了一种方便、及时的解决方案。同时,该平台提供解决网络安全问题的建议。
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引用次数: 0
Analysis of Computer Network Security and Preventive Measures in the Data Age 数据时代计算机网络安全与防范措施分析
IF 0.8 Pub Date : 2020-04-30 DOI: 10.18282/jnt.v2i1.796
Zhi Li
With the development of science and technology, the network in human society continues to be improved and enriched, as well as the ability of database technology, which is of super cloud computing ability and extensive data sharing and brings great convenience to the whole country. But at the same time, the data that is used improperly in the network environment not only poses a certain threat to the network system, but also gradually erodes people's lives. For the computer network security problems in the era of big data, this paper first analyzes the location of the problems, and then puts forward the means to solve and prevent the security problems.
随着科学技术的发展,人类社会的网络不断完善和丰富,以及数据库技术的能力,具有超强的云计算能力和广泛的数据共享,给整个国家带来了极大的便利。但与此同时,网络环境中使用不当的数据不仅对网络系统构成一定的威胁,也逐渐侵蚀着人们的生活。针对大数据时代的计算机网络安全问题,本文首先分析了问题所在,然后提出了解决和防范安全问题的手段。
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引用次数: 0
Real-Time Indoor Geolocation Tracking for Assisted Healthcare Facilities. 辅助医疗设施的实时室内地理位置跟踪。
IF 0.8 Pub Date : 2020-01-01 DOI: 10.4018/ijitn.2020040101
Kinjal Gala, Paul David Bryden, Christopher Paolini, Matthew Wang, Dimitrova Mihovska Albena, Mahasweta Sarkar

A leading cause of physical injury sustained by elderly persons is the event of unintentionally falling. A delay between the time of fall and the time of medical attention can exacerbate injury if the fall resulted in a concussion, traumatic brain injury, or bone fracture. The authors present a solution capable of finding and tracking, in real-time, the location of an elderly person within an indoor facility, using only existing Wi-Fi infrastructure. This paper discusses the development of an open source software framework capable of finding the location of an individual within 3m accuracy using 802.11 Wi-Fi in good coverage areas. This framework is comprised of an embedded software layer, a Web Services layer, and a mobile application for monitoring the location of individuals, calculated using trilateration, with Kalman filtering employed to reduce the effect of multipath interference. The solution provides a real-time, low cost, extendible solution to the problem of indoor geolocation to mitigate potential harm to elderly persons who have fallen and require immediate medical help.

老年人身体受伤的一个主要原因是意外跌倒。如果跌倒导致脑震荡、创伤性脑损伤或骨折,那么跌倒时间和就医时间之间的延迟可能会加剧损伤。作者提出了一种解决方案,能够利用现有的Wi-Fi基础设施,在室内设施中实时查找和跟踪老年人的位置。本文讨论了一个开源软件框架的开发,该框架能够在良好的覆盖区域使用802.11 Wi-Fi在3m精度内找到个人的位置。该框架由一个嵌入式软件层、一个Web服务层和一个用于监控个人位置的移动应用程序组成,使用三边测量计算,并使用卡尔曼滤波来减少多径干扰的影响。该解决方案为室内地理定位问题提供了一种实时、低成本、可扩展的解决方案,以减轻对跌倒并需要立即就医的老年人的潜在伤害。
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引用次数: 6
Combining Block DCV and Support Vector Machine for Ear Recognition 基于分块DCV和支持向量机的人耳识别
IF 0.8 Pub Date : 2016-04-01 DOI: 10.4018/IJITN.2016040104
Hailong Zhao, Junyan Yi
In recent years, automatic ear recognition has become a popular research. Effective feature extraction is one of the most important steps in Content-based ear image retrieval applications. In this paper, the authors proposed a new vectors construction method for ear retrieval based on Block Discriminative Common Vector. According to this method, the ear image is divided into 16 blocks firstly and the features are extracted by applying DCV to the sub-images. Furthermore, Support Vector Machine is used as classifier to make decision. The experimental results show that the proposed method performs better than classical PCA+LDA, so it is an effective human ear recognition method.
近年来,自动耳识别已成为研究的热点。有效的特征提取是基于内容的耳图像检索应用的重要步骤之一。本文提出了一种基于块判别公共向量的耳部检索向量构建方法。该方法首先将耳图像分成16个块,对子图像进行DCV提取特征;在此基础上,利用支持向量机作为分类器进行决策。实验结果表明,该方法优于经典的PCA+LDA,是一种有效的人耳识别方法。
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引用次数: 3
期刊
International Journal of Interdisciplinary Telecommunications and Networking
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