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IEEE International Conference on Communications Workshops, ICC

作者： Ruihong Jiang Ke Xiong Tong Liu Duohua Wang Zhangdui Zhong School of Computer and Information Technology Beijing Jiaotong University Beijing China Beijing Computing Center Beijing China ZTE Corporation Xi'an China State Key Lab of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China Beijing Engineering Research Center of High-speed Railway Broadband Mobile Communications Beijing Jiaotong University Beijing China

ISBN: (数字)9781728174402

ISBN: (纸本)9781728174419

This paper investigates the coverage provability-constrained throughput in unmanned aerial vehicle (UAV)-assisted simultaneous wireless information and power transfer (SWIPT) networks, where UAVs are used as aerial base stations and their positions are modeled by the 2-dimension Poisson point process (2-D PPP). The ground users (GUs) decode information as well as harvest energy from the transmitted signals from UAVs. Both power splitting (PS) and time switching (TS) architectures are employed at GUs. By using a stochastic geometry approach, the explicit expressions of the information-energy (I-E) coverage probabilities are derived. To describe the optimal deployment density of UAVs, an optimization problem is formulated to maximize the system throughput subject to the I-E coverage probability constraint. By using Karush-Kuhn-Tucker (KKT) conditions, the closed-form solution is derived. Simulation results demonstrate the correctness of our derived analytical results and show that compared with traditional linear EH model, the nonlinear EH model yields significant difference performance behaviors of the system. Moreover, the nonlinear EH model has a greater impact on EH for the system with TS-enabled GU than that with PS-enabled one. With the increment of the outage threshold, the required density of UAVs should be increased and both the throughput and the energy first increase and then decrease.

关键词： Throughput Wireless communication Unmanned aerial vehicles Wireless sensor networks Integrated circuit modeling Analytical models Fading channels

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Resource-aware network topology management framework

arXiv

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arXiv 2020年

作者： Abbasi, Aaqif Afzaal Shamshirband, Shahaboddin Al-qaness, Mohammed A.A. Abbasi, Almas ALJallad, Nashat T. Mosavi, Amir Department of Software Engineering Foundation University Islamabad44000 Pakistan Department for Management of Science and Technology Development Ton Duc Thang University Ho Chi Minh758307 Viet Nam Faculty of Information Technology Ton Duc Thang University Ho Chi Minh758307 Viet Nam School of Computer Science Wuhan University Bayi Road No. 299 Wuhan430072 China Department of Computer Science International Islamic University Islamabad44000 Pakistan School of Computer Science and Technology Wuhan University of Technology Wuhan430079 China School of Computer Science Palestine Technical University Tulkarem44864 Palestine School of the Built Environment Oxford Brookes University No.5 Jack Straws Lane OxfordOX3 0BP United Kingdom Kalman Kando Faculty of Electrical Engineering Obuda University Becsi ut 94-96 Budapest1034 Hungary Institute of Structural Mechanics Bauhaus University Weimar Marienstraße 15 WeimarD-99423 Germany

Cloud infrastructure provides computing services where computing resources can be adjusted on-demand. However, the adoption of cloud infrastructures brings concerns like reliance on the service provider network, reliability, compliance for service level agreements (SLAs), etc. software-defined networking (SDN) is a networking concept that suggests the segregation of a network’s data plane from the control plane. This concept improves networking behavior. In this paper, we present an SDN-enabled resource-aware topology framework. The proposed framework employs SLA compliance, Path Computation Element (PCE) and shares fair loading to achieve better topology features. We also present an evaluation, showcasing the potential of our *** Codes 68T05 Copyright © 2020, The Authors. All rights reserved.

关键词： information management

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Strict pattern matching under non-overlapping condition

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Science China(information Sciences) 2017年第1期60卷 5-20页

作者： Youxi WU Cong SHEN He JIANG Xindong WU School of Computer Science and Engineering Hebei University of Technology Hebei Province Key Laboratory of Big Data Calculation School of Computer Science and Technology Tianjin University School of Software Dalian University of Technology School of Computer Science and Information Engineering Hefei University of Technology School of Computing and Informatics University of Louisiana at Lafayette

Pattern matching(or string matching) is an essential task in computer science, especially in sequential pattern mining, since pattern matching methods can be used to calculate the support(or the number of occurrences) of a pattern and then to determine whether the pattern is frequent or not. A state-of-the-art sequential pattern mining with gap constraints(or flexible wildcards) uses the number of non-overlapping occurrences to denote the frequency of a pattern. Non-overlapping means that any two occurrences cannot use the same character of the sequence at the same position of the pattern. In this paper, we investigate strict pattern matching under the non-overlapping condition. We show that the problem is in P at first. Then we propose an algorithm, called NETLAP-Best, which uses Nettree structure. NETLAP-Best transforms the pattern matching problem into a Nettree and iterates to find the rightmost root-leaf path, to prune the useless nodes in the Nettree after removing the rightmost root-leaf path. We show that NETLAP-Best is a complete algorithm and analyse the time and space complexities of the algorithm. Extensive experimental results demonstrate the correctness and efficiency of NETLAP-Best.

关键词： pattern matching sequential pattern mining gap constraint flexible wildcard non-overlapping occurrence Nettree

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Dispersion analysis of periodic structures in anisotropic media: Application to liquid crystals

arXiv

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arXiv 2020年

作者： Alex-Amor, Antonio Palomares-Caballero, Ángel Mesa, Francisco Quevedo-Teruel, Oscar Padilla, Pablo The Departamento de Teoría de la Señal Telemática y Comunicaciones Universidad de Granada Granada18071 Spain The Department of Information Technologies Universidad CEU San Pablo Madrid28003 Spain Department of Applied Physics 1 Escuela Técnica Superior de Ingenieria Informatica Universidad de Sevilla Sevilla41012 Spain The Division for Electromagnetic Engineering School of Electrical Engineering and Computer Science KTH Royal Institute of Technology StockholmSE-100 44 Sweden

This paper presents an efficient method to compute the dispersion diagram of periodic and uniform structures with generic anisotropic media. The method takes advantage of the ability of full-wave commercial simulators to deal with finite structures having anisotropic media. In particular, the proposed method ¡extends the possibilities of commercial eigenmode solvers in the following ways:¡ (i) anisotropic materials with non-diagonal permittivity and permeability tensors can be analyzed;(ii) the attenuation constant can easily be computed in both propagating and stopband regions and lossy materials can be included in the simulation;and (iii) unbounded and radiating structures such as leaky-wave antennas can be treated. The latter feature may be considered the most remarkable, since the structures must be forcefully bounded with electric/magnetic walls in the eigensolvers of most commercial simulators. In this work, the proposed method is particularized for the study of liquid crystals (LCs) in microwave and antenna devices. Thus, the dispersion properties of a great variety of LC-based configurations are analyzed, from canonical structures, such as waveguide and microstrip, to complex reconfigurable phase shifters in ridge gap-waveguide technology and leaky-wave antennas. Our results have been validated with previously reported works in the literature and with commercial software CST and HFSS. Copyright © 2020, The Authors. All rights reserved.

关键词： Liquid crystals

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Incident detection based on mobile crowd sensing for smart city

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Journal of computers (Taiwan) 2019年第1期30卷 96-104页

作者： Zhang, Peng Zhang, Zhenjiang Chao, Han-Chieh Department of Electronic and Information Engineering Key Laboratory of Communication and Information Systems Beijing Municipal Commission of Education Beijing Jiaotong University Beijing100044 China Department of Software Engineering Key Laboratory of Communication and Information Systems Beijing Municipal Commission of Education Beijing Jiaotong University Beijing100044 China Department of Electrical Engineering National Dong Hwa University Hualien97401 Taiwan School of Information Science and Engineering Fujian University of Technology Fuzhou350118 China School of Mathematics and Computer Science Wuhan Polytechnic University Wuhan430023 China Department of Computer Science and Information Engineering National Ilan University Yilan County260 Taiwan

In recent years, mobile devices have taken a significant role in improving the quality of people’s life. In order to enhance the usability of those devices, more and more sensors have been built in. Furthermore, the data storage and data processing capacity are becoming larger and larger. To capture more information about the city conditions and make full use of the computing resource, mobile crowd sensing has been proposed. Incident detection is an important component of the safety monitoring system, however, existing incident detection methods are mostly based on computer vision which is vulnerability to environmental impacts. This paper proposes an automatic incident detection model based on Mobile Crowd Sensing to deal with the problem above. The incident detection algorithm in the model is based on the human activity recognition and the crowd density. The simulation results show that this model is feasible and effective. 2019 © computer Society of the Republic of China. All Rights Reserved.

关键词： Environmental impact

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iGateLink: A gateway library for linking IoT, edge, fog and cloud computing environments

arXiv

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arXiv 2019年

作者： Mancini, Riccardo Tuli, Shreshth Cucinotta, Tommaso Buyya, Rajkumar Lab School of Computing and Information System University of Melbourne Australia Scuola Superiore Sant'Anna Pisa Italy Department of Computer Science and Engineering Indian Institute of Technology Delhi India

In recent years, the Internet of Things (IoT) has been growing in popularity, along with the increasingly important role played by IoT gateways, mediating the interactions among a plethora of heterogeneous IoT devices and cloud services. In this paper, we present iGateLink, an open-source Android library easing the development of Android applications acting as a gateway between IoT devices and Edge/Fog/Cloud Computing environments. Thanks to its pluggable design, modules providing connectivity with a number of devices acting as data sources or Fog/Cloud frameworks can be easily reused for different applications. Using iGateLink in two case-studies replicating previous works in the healthcare and image processing domains, the library proved to be effective in adapting to different scenarios and speeding up development of gateway applications, as compared to the use of conventional methods. Copyright © 2019, The Authors. All rights reserved.

关键词： Fog computing

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A proximal block coordinate descent algorithm for deep neural network training 6

A proximal block coordinate descent algorithm for deep neura...

引用

6th International Conference on Learning Representations, ICLR 2018

作者： Lau, Tim Tsz-Kit Zeng, Jinshan Wu, Baoyuan Yao, Yuan Department of Mathematics Hong Kong University of Science and Technology Hong Kong School of Computer and Information Engineering Jiangxi Normal University China Tencent AI Lab

Training deep neural networks (DNNs) efficiently is a challenge due to the associated highly nonconvex optimization. The backpropagation (backprop) algorithm has long been the most widely used algorithm for gradient computation of parameters of DNNs and is used along with gradient descent-type algorithms for this optimization task. Recent work have shown the efficiency of block coordinate descent (BCD) type methods empirically for training DNNs. In view of this, we propose a novel algorithm based on the BCD method for training DNNs and provide its global convergence results built upon the powerful framework of the Kurdyka-Lojasiewicz (KL) property. Numerical experiments on standard datasets demonstrate its competitive efficiency against standard optimizers with backprop. © 6th International Conference on Learning Representations, ICLR 2018 - Workshop Track Proceedings. All rights reserved.

关键词： Deep neural networks

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Four-dimensional polarisation-ring-switching for dispersion-managed optical fibre systems

arXiv

引用

arXiv 2019年

作者： Chen, Bin Okonkwo, Chigo Hafermann, Hartmut Alvarado, Alex Department of Electrical Engineering Eindhoven University of Technology Netherlands School of Computer and Information Hefei University of Technology China Mathematical and Algorithmic Sciences Lab Paris Research Center Huawei Technologies France SASU France

The recently introduced 4D 64-ary polarisation-ring-switching format is investigated in dispersion-managed systems. Numerical simulations show a reach increase of 25% with respect to PM-8QAM. This gain is achieved from the nonlinear tolerance of the format and a 4D demapper using correlated noise assumptions. Copyright © 2019, The Authors. All rights reserved.

关键词： Polarization

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On security improvement of adaptive pixel pair matching with modified searching mechanism

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International Journal of Network Security 2019年第2期21卷 230-235页

作者： Hong, Wien Zheng, Shuozhen Zhou, Xiaoyu School of Electrical and Computer Engineering Nanfang College of Sun Yat-Sen University 882 Wenquan Rd. Conghua district Guangzhou510970 China School of Computer and Software Nanjing University of Information Science and Technology 219 Niliu Rd. Nanjing Jiangsu210044 China

This paper proposes a data hiding scheme that improves the adaptive pixel pair matching (APPM) method. Based on pixel pair matching, APPM employs a pixel pair as an embedding unit, and uses a specially designed reference table that minimizing the embedding distortion for data embedment. Although APPM has the capability to em bed secret digit in any notational system, it is vulnerable to the detection by the RS scheme if digits in 4-ary no tational system are embedded into images with large at area (pixels having the similar grayscale values) such car toon images. A modified version of APPM is proposed in this paper by using a revised pixel pair replacement mechanism (PPRM). With the proposed PPRM method, the stego image not only is totally undetectable by the RS scheme but also provides the equivalent image quality of the original APPM method. © 2019 Femto Technique Co., Ltd.

关键词： Pixels

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引用

25th International Conference on Neural information Processing, ICONIP 2018

作者： Liu, Wenfeng Liu, Peiyu Yi, Jing Yang, Yuzhen Liu, Weitong Li, Nana School of Information Science and Engineering Shandong Normal University Jinan250014 China School of Computer Heze University Heze274015 China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan250014 China School of Computer Science and Technology Shandong Jianzhu University Jinan250101 China

ISBN: (纸本)9783030041816

How to effectively measure the similarity between two sentences is a challenging task in natural language processing. In this paper, we propose a sentence similarity comparison method that combines word embeddings and syntactic structure. First of all, by generating the corresponding syntactic tree, we synthetically analyze the two sentences and block them according to the syntactic components. Secondly, we prune the syntactic tree, remove the stop words and perform morphological restoration. Then, some important operations will be performed, such as passive flipping, negative flipping, and so on. Finally, the similarity of two sentence pairs is calculated by weighting the block embeddings of the syntactic tree. Experiments show the effectiveness of this method. © Springer Nature Switzerland AG 2018.

关键词： Embeddings

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