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2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)最新文献

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Maritime Target Tracking Algorithm Based on Visible Light Communication 基于可见光通信的海上目标跟踪算法
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673810
Z. Lai, Zhaolin Zhang, Youjun Wu, Renhai Feng
With the continuous growth of coastal industry, port logistics and other demands, traditional regulatory means have been unable to cope with the complex situations of port vessel regulation. In view of the fact that some monitoring points have blind areas in harbor-border inspection, this paper uses Unmanned Aerial Vehicle (UAV) to build an efficient automatic early warning and control system for port business, then a geometric algorithm for transmitter positioning is proposed by taking Received Signal Strength (RSS) as intermediate variable in Visible Light Communication (VLC) scene. On this basis, in order to further improve the calculation speed and accuracy, Linear Iterative Positioning (LIP) algorithm based on Taylor expansion, implicit function theorem and time domain expansion is proposed to realize the identification and positioning of maritime targets. Furthermore, Quadratic Approximation Iterative Positioning (QAIP) a more sophisticated approximation of the original function is proposed for reference based on second-order Taylor expansion. Finally, simulation results show that the accuracy of LIP algorithm is higher than that of QAIP algorithm, and the computational complexity is low. In addition, the proposed algorithms have fixed overhead.
随着沿海工业、港口物流等需求的不断增长,传统的监管手段已经无法应对港口船舶监管的复杂情况。针对港口边检中部分监测点存在盲区的问题,利用无人机(UAV)构建高效的港口业务自动预警与控制系统,提出了一种以接收信号强度(RSS)为可见光通信(VLC)场景中中间变量的发射机定位几何算法。在此基础上,为了进一步提高计算速度和精度,提出了基于泰勒展开、隐函数定理和时域展开的线性迭代定位(LIP)算法,实现对海上目标的识别与定位。在此基础上,提出了基于二阶泰勒展开的二次逼近迭代定位方法(Quadratic Approximation Iterative Positioning, QAIP),以供参考。仿真结果表明,LIP算法的精度高于QAIP算法,且计算复杂度较低。此外,所提出的算法具有固定的开销。
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引用次数: 0
Speckle-free Imaging Using a High-power Multimode Random Fiber Laser 高功率多模随机光纤激光器无散斑成像
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673848
S. Wang, Weili Zhang, Ning Yang, Yan-Rong Mou, Y. Rao
A high-power multimode random fiber laser (MM-RFL) is demonstrated with high spectral density and low spatial coherence by combing random fiber laser (RFL) with a multimode fiber (MMF) incorporated master oscillator power-amplifier (MOPA) configuration. The generated MM-RFL provides a maximum output power of 100.6 W and a 3-dB bandwidth of 0.4 nm. The introduction of MMF can achieve a speckle contrast of as low as 0.037. Furthermore, speckle-free imaging is also demonstrated using the MM-RFL at different output powers. Experimental result shows that the imaging quality can be improved with the increase of output power of the MM-RFL as its spatial coherence decreases with the increasing number of effective transverse modes excited in the MMF. This high-power low spatial coherence MM-RFL provides a suitable laser source for speckle-free imaging applications with high power requirement to realize high-quality imaging.
将随机光纤激光器(RFL)与多模光纤(MMF)集成主振功率放大器(MOPA)结构相结合,实现了高光谱密度、低空间相干性的高功率多模随机光纤激光器(MM-RFL)。生成的MM-RFL最大输出功率为100.6 W, 3db带宽为0.4 nm。MMF的引入可以实现低至0.037的散斑对比度。此外,在不同的输出功率下,MM-RFL还演示了无散斑成像。实验结果表明,MM-RFL的空间相干性随着MM-RFL中激发的有效横模数的增加而降低,但随着输出功率的增加,成像质量得到改善。该高功率低空间相干MM-RFL为高功率无散斑成像应用提供了一种合适的激光源,可实现高质量成像。
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引用次数: 1
Timely Status Updating over Markov Channels in Downlink Wireless Networks with Stochastic Arrivals 随机到达下行无线网络马尔可夫信道状态的及时更新
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673961
Yanzhi Huang, Xijun Wang, Xinghua Sun, Xiang Chen
In this paper, we consider a downlink wireless network, where a base station (BS) with stochastic arrivals transmits fresh status updates to different users over Markov channels. To quantity the freshness of information, a recently developed metric, called Age of Information (AoI), is used. We formulate a constrained optimization problem to find the optimal scheduling policy that minimizes the average weighted sum of the AoI at the user and the energy consumption at the BS. Due to the hardness of this problem, we recast it as a Restless Multi-Armed Bandit (RMAB) problem and decouple the problem into multiple sub-problems. After deriving the structural property of the optimal policy for the sub-problem, we establish the indexability of the sub-problem and design an algorithm to compute the Whittle’s index. Finally, we propose a scheduling policy based on the Whittle’s index. Simulation results demonstrate that our proposed scheduling policy performs comparably with the optimal policy.
在本文中,我们考虑了一个下行无线网络,其中一个随机到达的基站(BS)通过马尔可夫信道向不同的用户发送新的状态更新。为了量化信息的新鲜度,使用了一种最近开发的度量,称为信息时代(AoI)。我们构造了一个约束优化问题,求出使用户处的AoI和BS处的能耗加权平均值最小的最优调度策略。由于该问题的复杂性,我们将其重构为一个不宁多臂强盗(RMAB)问题,并将其解耦为多个子问题。在推导出子问题最优策略的结构性质后,建立了子问题的可索引性,并设计了计算Whittle索引的算法。最后,提出了一种基于惠特尔指数的调度策略。仿真结果表明,本文提出的调度策略与最优调度策略性能相当。
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引用次数: 2
Communication and Security Issues in Online Learning during the COVID-19 Pandemic COVID-19大流行期间在线学习中的通信和安全问题
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673972
Chrysi K. Metallidou, K. Psannis, S. Goudos, P. Sarigiannidis, Y. Ishibashi
This era is characterized by the rapid evolution of technology and its application in all sectors of day to day life. At the same time, the outbreak of the COVID-19 pandemic has highlighted the distance education as vital, compulsory and worldwide, for Educational Institutions. The attainments of technology are set at the service of education and the problem of security and privacy in online learning is emerged. This paper focuses on the development of a secure online learning system, which utilizes edge computing and privacy mechanisms, such as trust evaluation from direct and indirect observations. The proposed system provides to the Educational Institutions the advantage of conducting online courses, by ensuring privacy in communication for students, professors and the organization.
这个时代的特点是技术的快速发展及其在日常生活各个领域的应用。与此同时,2019冠状病毒病大流行的爆发凸显了远程教育对教育机构的重要性、强制性和全球性。技术的成就是为教育服务的,在线学习的安全和隐私问题也随之出现。本文的重点是开发一个安全的在线学习系统,该系统利用边缘计算和隐私机制,如直接和间接观察的信任评估。该系统通过确保学生、教授和组织的通信隐私,为教育机构提供了开展在线课程的优势。
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引用次数: 1
Theoretical Analyses of Pulse Evolution in a Passively Mode-Locked Laser 被动锁模激光器脉冲演化的理论分析
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673857
Shoushan Wang, Guobin Pu, Chuan Jin, Tao Zhang
In passively mode-locking fiber lasers, bismuthene used as the saturable absorber (SA) paves a brand-new way for the ultra-short pulses’ generation. Based on the coupled nonlinear Schrödinger equation (CNLSE), the generation and transmitting characteristics of ultrafast pulse are studied in details, especially, the influence of the second-order dispersion on the pulse width, energy and spectrum. In this work, through changing the group velocity dispersion (from 0.03 $mathrm{p}mathrm{s}^{2}/mathrm{k}mathrm{m}$ to $0.09mathrm{p}mathrm{s}^{2}/mathrm{k}mathrm{m})$, the pulse width and energy increase with the increase of the dispersion. The results from this work can be regarded as guidance when designing a wave-breaking-free fiber laser and also provide a theoretical basis for the experimental control of pulse width and energy.
在被动锁模光纤激光器中,铋作为可饱和吸收材料为超短脉冲的产生开辟了一条全新的途径。基于耦合非线性Schrödinger方程(CNLSE),详细研究了超快脉冲的产生和传输特性,重点研究了二阶色散对脉冲宽度、能量和频谱的影响。本文通过改变群速度色散(从0.03 $mathrm{p}mathrm{s}^{2}/mathrm{k}mathrm{m}$到0.09 $mathrm{p}mathrm{s}^{2}/mathrm{k}mathrm{m})$)$,脉冲宽度和能量随色散的增加而增加。研究结果对无破波光纤激光器的设计具有一定的指导意义,也为实验控制脉冲宽度和能量提供了理论依据。
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引用次数: 0
Applications of Machine Learning on Nonlinear Frequency Division Multiplexing Optic-Fiber Communication Systems 机器学习在非线性频分复用光纤通信系统中的应用
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673978
Lixia Xi, Jiacheng Wei, Wenbo Zhang
Nonlinear frequency division multiplexing system becomes one of the promising candidates for overcoming the fiber’s nonlinearity limitations. To improve the system’s performance, machine learning was introduced to the NFDM systems in the past few years. In this paper, an overview on the applications of machine learning in the NFDM systems is presented.
非线性频分复用系统是克服光纤非线性限制的一个很有前途的候选系统。为了提高系统的性能,机器学习在过去几年被引入到NFDM系统中。本文综述了机器学习在NFDM系统中的应用。
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引用次数: 0
Optimal Adjustment of UCRNs in Cooperative Engagement System Based on GDMPC-MOABC 基于GDMPC-MOABC的协同作战系统中UCRNs的最优调整
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673839
Y. Zhong, L. Wan
Aiming at the optimal adjustment of unmanned communication relay nodes (UCRNs) problem in manned/ unmanned aerial vehicle cooperative engagement system, this paper established a two–layer mathematical model to describe it and solved it through a greedy distributed model predictive control (GDMPC) and multi–objective artificial bee colony (MOABC) method. Problem description and element definition, kinematic model of unmanned communication relay nodes, modeling of the problem, GDMPC framework and subsystem optimization solution based on MOABC were in sequence presented, and finally, simulation experiments were carried on to verify the correctness of the model and the effectiveness of the algorithm.
针对有人/无人机协同作战系统中无人通信中继节点(UCRNs)的最优调整问题,建立了两层数学模型进行描述,并采用贪婪分布式模型预测控制(GDMPC)和多目标人工蜂群(MOABC)方法进行求解。依次提出了问题描述与元素定义、无人通信中继节点运动学模型、问题建模、GDMPC框架和基于MOABC的子系统优化方案,最后进行了仿真实验,验证了模型的正确性和算法的有效性。
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引用次数: 0
(AIANTAS) for IoT Cyberspace —An Upcoming Cloud-based Security Architecture for Police Authorities (AIANTAS)物联网网络空间-即将推出的基于云的警务机构安全架构
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673988
Vasileios A. Memos, Konstantinos E. Psannis, Y. Ishibashi
In this research work, we investigate the effects of cybercrime and focus on concerns about cybercrime expansion. Since black-hat hackers are constantly one step ahead of white-hat hackers and exploit new sophisticated hack-tools to intrude to devices and networks to commit cybercrime for different reasons, the utilization of the available emerging technologies can provide better privacy and protection level, while they can be used to combat cybercriminal attacks. This shift to new technologies and methods is regarded to be an urgent necessity today. Therefore, we demonstrate a potential novel security mechanism for Police Authorities, named “Artificial Intelligence ANTi-Attack System” or simply “AIANTAS” that aspires to improve the detection rate of cybercriminals and lead to their faster arrest. This model can be integrated into the other National Security defense mechanisms both in Greece and worldwide.
在这项研究工作中,我们调查了网络犯罪的影响,并重点关注网络犯罪的扩张。由于黑帽黑客总是领先于白帽黑客一步,他们利用新的复杂的黑客工具,以不同的原因侵入设备和网络进行网络犯罪,利用现有的新兴技术可以提供更好的隐私和保护水平,同时可以用来打击网络犯罪的攻击。这种向新技术和新方法的转变被认为是当今迫切需要的。因此,我们为警察当局展示了一种潜在的新型安全机制,名为“人工智能反攻击系统”或简称为“AIANTAS”,旨在提高网络犯罪分子的检出率,并更快地逮捕他们。这种模式可以整合到希腊和世界范围内的其他国家安全防御机制中。
{"title":"(AIANTAS) for IoT Cyberspace —An Upcoming Cloud-based Security Architecture for Police Authorities","authors":"Vasileios A. Memos, Konstantinos E. Psannis, Y. Ishibashi","doi":"10.1109/icicn52636.2021.9673988","DOIUrl":"https://doi.org/10.1109/icicn52636.2021.9673988","url":null,"abstract":"In this research work, we investigate the effects of cybercrime and focus on concerns about cybercrime expansion. Since black-hat hackers are constantly one step ahead of white-hat hackers and exploit new sophisticated hack-tools to intrude to devices and networks to commit cybercrime for different reasons, the utilization of the available emerging technologies can provide better privacy and protection level, while they can be used to combat cybercriminal attacks. This shift to new technologies and methods is regarded to be an urgent necessity today. Therefore, we demonstrate a potential novel security mechanism for Police Authorities, named “Artificial Intelligence ANTi-Attack System” or simply “AIANTAS” that aspires to improve the detection rate of cybercriminals and lead to their faster arrest. This model can be integrated into the other National Security defense mechanisms both in Greece and worldwide.","PeriodicalId":231379,"journal":{"name":"2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129487538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dirty Paper Coding Based Weighted Throughout Maximization for UAV-Mounted Wireless Systems 基于脏纸编码的无人机机载无线系统加权遍及最大化
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673997
Luya Wang, Vidal Yanjie Dong, Ying He, Jianqiang Li, V. Leung
When the UAV technology meets the multiple-input-multiple-output communications, the precoders for transmission need to fertilize the benefits of high-probability lineof-sight propagation paths. This work investigates the joint design of uplink/downlink precoders for single-cell UAV-mounted wireless systems. While the UAV has finite cruising endurance, the UAV-mounted base transceiver station can scavenge energy from wireless signals in the uplink period, and the deliver useful information to terrestrial users in the downlink period. By exploit the information-theoretical uplink-downlink duality, the weighted throughput can be maximized based on the tailored dirty paper coding scheme. Numerical results are used to demonstrated the effectiveness of the proposed algorithm.
当无人机技术满足多输入多输出通信时,传输的预编码器需要充分利用高概率视距传播路径的优势。这项工作研究了单细胞无人机无线系统的上行/下行预编码器的联合设计。在无人机巡航续航力有限的情况下,机载收发站可以在上行时段从无线信号中获取能量,并在下行时段向地面用户发送有用信息。利用信息论的上行链路和下行链路的对偶性,实现了基于定制脏纸编码方案的加权吞吐量最大化。数值结果验证了该算法的有效性。
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引用次数: 0
Modeling Movement Behavior of Stock Price Using Neural Hawkes Model 基于神经霍克斯模型的股票价格运动行为建模
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673834
K. Hu, Xiang Ji, Jie Xie, Jingmin Yu
Traditional price movement is modeled by the machine learning methods and neural network methods. However, the prediction is often concerned with the correlations rather than the causality. In this paper, we do not only consider the correlation but also borrow the idea of the Neural Hawkes model to help build the decaying effects between the stock price dynamics. In the work, we evaluate the prediction quality of the results using the log likelihood. Results show that our methods are competitive, the Neural Hawkes model achieved log likelihood value of seq (combining the time and type) to -0.6358 and -2.3878 in five days prediction and ten days prediction respectively, better than -4.3243 and -4.5841 by Hawkes model and -11.353 and -24.8147 by Inhibition Hawkes model.
传统的价格走势是通过机器学习方法和神经网络方法建模的。然而,预测往往与相关性有关,而不是因果关系。在本文中,我们不仅考虑了相关性,而且借用了神经霍克斯模型的思想来帮助建立股票价格动态之间的衰减效应。在工作中,我们使用对数似然来评估结果的预测质量。结果表明,我们的方法具有一定的竞争力,Neural Hawkes模型在5天预测和10天预测中seq(结合时间和类型)的对数似然值分别达到-0.6358和-2.3878,优于Hawkes模型的-4.3243和-4.5841,以及Inhibition Hawkes模型的-11.353和-24.8147。
{"title":"Modeling Movement Behavior of Stock Price Using Neural Hawkes Model","authors":"K. Hu, Xiang Ji, Jie Xie, Jingmin Yu","doi":"10.1109/icicn52636.2021.9673834","DOIUrl":"https://doi.org/10.1109/icicn52636.2021.9673834","url":null,"abstract":"Traditional price movement is modeled by the machine learning methods and neural network methods. However, the prediction is often concerned with the correlations rather than the causality. In this paper, we do not only consider the correlation but also borrow the idea of the Neural Hawkes model to help build the decaying effects between the stock price dynamics. In the work, we evaluate the prediction quality of the results using the log likelihood. Results show that our methods are competitive, the Neural Hawkes model achieved log likelihood value of seq (combining the time and type) to -0.6358 and -2.3878 in five days prediction and ten days prediction respectively, better than -4.3243 and -4.5841 by Hawkes model and -11.353 and -24.8147 by Inhibition Hawkes model.","PeriodicalId":231379,"journal":{"name":"2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125118383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)
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