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IEEE Vehicular technology Conference

作者： Youming Sun Fenggang Sun Jinlong Wang Yuli Zhang Kailing Yao National Digital Switching System Engineering & Technological Research Center College of Communications Engineering PLA University of Science and Technology

ISBN: (纸本)9781509016990

In this paper, we investigate the hybrid access control in two-tier small cell networks from the perspective of incentive mechanism design, considering macro base station's private information. We formulate this problem as a Stackelberg game. To be specific, the macro base station (MBS) and small cell base stations (SBSs) are modeled as a leader with specific payoff preference and followers, respectively. A subsidy mechanism is adopted by MBS. Only when the SBS can provide acceptable service level for macro user (MUE), then MBS handovers MUE to SBS and provides subsidy to SBS;otherwise, MBS serves MUE by itself. We consider the impacts of MBS's private information on the final equilibrium of the proposed game. Theoretical analysis and simulation results show it is better for MBS to broadcast the private information to get more payoff from the perspective of incentive mechanism design.

关键词： mechanism design PPP1r12A gene main bang suppression STYrENE-BUTAdIENE-STYrENE BLOCK COPOLYMEr BASE STATION subsidy Perspective access control incentives Biological neural networks macro commands

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MU-MIMO aided secure transmission in cognitive downlink heterogeneous cellular networks

MU-MIMO aided secure transmission in cognitive downlink hete...

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International Symposium on Wireless Personal Multimedia Communications (WPMC)

作者： Xiaohui Qi Kaizhi Huang Zhihao Zhong National Digital Switching System Engineering & Technological Research Center Zhengzhou P. R. China

ISBN: (纸本)9781509053773

Cognitive heterogeneous cellular networks (CHCNs) and multi-user multiple-input multiple-output (MU-MIMO) are both promising technologies in the future network where wireless transmissions are inherently vulnerable to security breaches. Under an interference constraint set by the primary user, this study examines the impact of MU-MIMO technology on secure communication between cognitive base stations (BSs) and cognitive users (CUs) in downlink underlay CHCNs. First, based on stochastic geometry, we describe a CHCN model under a threshold-based protocols, and derive the expressions of the connection outage probability and achievable ergodic rate of the CUs. Second, the secrecy outage probability (SOP) of the CUs in the presence of non-colluding eavesdroppers as well as the lower bound of SOP for the CU in the presence of colluding eavesdroppers are given, respectively. Finally, the impacts of antenna system, eavesdropper density, eavesdropper case, and the received signal-to-interference-plus-noise-ratio threshold for security as well as reliability performance are analyzed, respectively.

关键词： Interference Copper Signal to noise ratio Wireless communication Security Communication system security Protocols

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The NdSC transcription system for the 2016 multi-genre broadcast challenge

The NDSC transcription system for the 2016 multi-genre broad...

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IEEE Spoken Language technology Workshop

作者： Xu-Kui Yang dan Qu Wen-Lin Zhang Wei-Qiang Zhang National Digital Switching System Engineering and Technological R&D Center Zhengzhou China Department of Electronic Engineering Tsinghua University Beijing China

ISBN: (纸本)9781509049042

The national digital switching system engineering and Technological r&d center (NdSC) speech-to-text transcription system for the 2016 multi-genre broadcast challenge is described. Various acoustic models based on deep neural network (dNN), such as hybrid dNN, long short term memory recurrent neural network (LSTM rNN), and time delay neural network (TdNN), are trained. The system also makes use of recurrent neural network language models (rNNLMs) for re-scoring and minimum Bayes risk (MBr) combination. The WEr on test dataset of the speech-to-text task is 18.2%. Furthermore, to simulate real applications where manual segmentations were not available an automatic segmentation system based on long-term information is proposed. WErs based on the automatically generated segments were slightly worse than that based on the manual segmentations.

关键词： Filter banks Training Neural networks Acoustics Speech recognition Hidden Markov models Speech

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A Novel Method of Wi-Fi Indoor Localization based on Channel State Information

A Novel Method of Wi-Fi Indoor Localization based on Channel...

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International Conference on Wireless Communications and Signal Processing

作者： Jinsong Li Yunzhou Li Xinsheng Ji National Digital Switching System Engineering and Technological R&D Center Zhengzhou China 450002 National Laboratory for Information Science and Technology Tsinghua University Beijing China 100084

ISBN: (纸本)9781509028610

Traditional Wi-Fi indoor localization system based on big data technique suffers from great degradation due to the instability and low space distinguish ability of received signal strength (rSS). replacing rSS with channel state information (CSI) is proven to be an efficient method. However, not all CSI raw data contribute equally to the localization performance. The computational cost of fingerprint database is unacceptable as well. In this paper, we propose a novel method of Wi-Fi indoor localization based on CSI. A fast orthogonal search (FOS) algorithm is utilized to calculate the weights of CSI raw data collected from the wireless network interface card (NIC), reducing the database at the same time. different weights of the features are then used as the input of a back-propagation (BP) neural network, conducting weighted training. We implement the system and experimentally evaluate its performance in the typical laboratory scenario. The performance of the proposed system is compared with several existing systems. result shows that the proposed system has a 13% improvement in accuracy and a 14% improvement in execute time. The average distance error is 1.5702m.

关键词： Wi-Fi indoor localization Big data technique Channel state information Fast orthogonal search Back-propagation neural network

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The Full-duplex Artificial Noise Scheme for Security of a Cellular system

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China Communications 2015年第S1期12卷 150-156页

作者： JI Xinsheng KANG Xiaolei HUANG Kaizhi LI Na YI Ming China National Digital Switching System Engineering & Technological R&D Center National Mobile Communications Research Laboratory Southeast University Wireless Technology Innovation Institute National Engineering Laboratory for Mobile Network Security

This paper focuses on the problem of secure transmission in a cellular system. A full-duplex base station using artificial noise is adopted to improve both the uplink and downlink secrecy rate via pairing terminals which reverses the downlink and uplink of each other. We give the designs of artificial noise and the user's desired signal, and derive the pairing prin-ciple between terminals. Moreover, the influence of self-interference cancellation on secrecy rate is ex-plored. Simulation results show that the secrecy rate can get much better performance by adopting full-duplex artificial noise scheme and proposed pair-ing method. The downlink secrecy rate decreases with the distance between terminals. Besides the uplink secrecy rate is sensitive to the ability of self-interference cancellation.

关键词： physical layer security cellular system full duplex artificial noise

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Fake comments detection method based on integrated features 5

Fake comments detection method based on integrated features

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5th International Conference on Computer engineering and Networks, CENet 2015

作者： Zhang, Kao Cui, ruifei National Digital Switching System Engineering and Technology R and D Center Zhengzhou450002 China

In view of the problem that existing fake comments detection methods did not take full advantage of dynamic information contained in the history of user behavior, in the paper, we firstly mine the dynamic features from the information of user dynamic behavior by using the time series analysis model. Secondly, we integrate the dynamic features and the user-level static features to find the suspicious users, then the user suspicious probability is propagated to the user comments. Finally, we get the fake comment classification features by fusing comment suspicious probability and the comment-level static features, and then use the PU-Learning classification strategy to accomplish the detection of the fake comments. Experimental results show that, the method we proposed can effectively improves the accuracy of fake comments detection system. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Time series analysis

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SN 2018agk: A prototypical Type Ia Supernova with a smooth power-law rise in Kepler (K2)

arXiv

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arXiv 2021年

作者： Wang, Qinan rest, Armin Zenati, Yossef ridden-Harper, ryan dimitriadis, Georgios Narayan, Gautham Villar, V. Ashley Magee, Mark r. Foley, ryan J. Shaya, Edward J. Garnavich, Peter Wang, Lifan Hu, Lei Bódi, Attila Armstrong, Patrick Auchettl, Katie Barclay, Thomas Barentsen, Geert Bognár, Zsófia Brimacombe, Joseph Bulger, Joanna Burke, Jamison Challis, Peter Chambers, Kenneth Coulter, david A. Csörnyei, Géza Cseh, Borbála deckers, Maxime dotson, Jessie L. Galbany, Lluís González-Gaitán, Santiago Gromadzki, Mariusz Gully-Santiago, Michael Hanyecz, Ottó Hedges, Christina Hiramatsu, daichi Hosseinzadeh, Griffin Howell, d. Andrew Howell, Steve B. Huber, Mark E. Jha, Saurabh W. Jones, david O. Könyves-Tóth, réka Kalup, Csilla Kilpatrick, Charles d. Kriskovics, Levente Li, Wenxiong Lowe, Thomas B. Margheim, Steven McCully, Curtis Mitra, Ayan Muñoz, Jose A. Nicholl, Matt Nordin, Jakob Pál, András Pan, Yen-Chen Piro, Anthony L. rest, Sofia rino-Silvestre, João rojas-Bravo, César Sárneczky, Krisztián Siebert, Matthew r. Smartt, Stephen J. Smith, Ken Sódor, Ádám Stritzinger, Maximilian d. Szabó, róbert Szakáts, róbert Tucker, Brad E. Vinkó, József Wang, Xiaofeng Wheeler, J. Craig Young, david r. Zenteno, Alfredo Zhang, Kaicheng Zsidi, Gabriella Department of Physics and Astronomy The Johns Hopkins University BaltimoreMD21218 United States Space Telescope Science Institute BaltimoreMD21218 United States Israel Excellence Fellowship Department of Astronomy and Astrophysics University of California Santa CruzCA95064 United States School of Physics Trinity College Dublin The University of Dublin Dublin 2 Ireland Department of Astronomy University of Illinois 1002 W. Green St. Urbana-ChampaignIL61801 United States Center for Astrophysical Surveys National Center for Supercomputing Applications UrbanaIL61801 United States Department of Astronomy & Astrophysics The Pennsylvania State University University ParkPA16802 United States Institute for Computational & Data Sciences The Pennsylvania State University University ParkPA16802 United States Institute for Gravitation and the Cosmos The Pennsylvania State University University ParkPA16802 United States Astronomy Department University of Maryland College ParkMD20742 United States University of Notre Dame Notre DameIN46556 United States Mitchell Institute for Fundamental Physics Department of Physics and Astronomy Texas A&M University College StationTX77843 United States Purple Mountain Observatory Chinese Academy of Sciences 10 Yuanhua Road Nanjing210033 China Konkoly Observatory CSFK Konkoly-Thege M. ut 15-17 Budapest1121 Hungary MTA CSFK Lendület Near-Field Cosmology Research Group Konkoly Thege Miklós út 15-17 Budapest1121 Hungary Mt Stromlo Observatory The Research School of Astronomy and Astrophysics Australian National University ACT2601 Australia School of Physics The University of Melbourne VIC3010 Australia University of Maryland Baltimore County 1000 Hilltop Circle BaltimoreMD21250 United States Bay Area Environmental Research Institute P.O. Box 25 Moffett Field CA94035 United States Coral Towers Observatory Cairns Australia Institute for Astronomy University of Hawai'i 2680 Woodlawn Drive HonoluluHI96

We present the 30-min cadence Kepler/K2 light curve of the Type Ia supernova (SN Ia) SN 2018agk, covering approximately one week before explosion, the full rise phase and the decline until 40 days after peak. We additionally present ground-based observations in multiple bands within the same time range, including the 1-day cadence dECam observations within the first ~5 days after the first light. The Kepler early light curve is fully consistent with a single power-law rise, without evidence of any bump feature. We compare SN 2018agk with a sample of other SNe Ia without early excess flux from the literature. We find that SNe Ia without excess flux have slowly-evolving early colors in a narrow range (g - i ≈ -0.20±0.20 mag) within the first ~ 10 days. On the other hand, among SNe Ia detected with excess, SN 2017cbv and SN 2018oh tend to be bluer, while iPTF16abc's evolution is similar to normal SNe Ia without excess in g - i. We further compare the Kepler light curve of SN 2018agk with companion-interaction models, and rule out the existence of a typical non-degenerate companion undergoing roche-lobe overflow at viewing angles smaller than 45°. © 2021, CC BY.

关键词： Supernovae

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Correction to: Artificial noise-assisted physical layer security in d2d-enabled cellular networks

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EUrASIP Journal on Wireless Communications and Networking 2017年第1期2017卷 1-1页

作者： Yajun Chen Xinsheng Ji Kaizhi Huang Jing Yang Xin Hu Yunjia Xu National Digital Switching System Engineering and Technological R&D Center Zhengzhou China National Mobile Communications Research Laboratory Southeast University Nanjing China National Engineering Lab for Mobile Networking Security Beijing China

In the original publication [1] the name of author Yajun Chen was spelled wrong. The original article was updated to rectify this error.

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Secure virtual network embedding to mitigate the risk of covert channel attacks

Secure virtual network embedding to mitigate the risk of cov...

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IEEE Conference on Computer Communications Workshops, INFOCOM Wksps

作者： Zhiming Wang Jiangxing Wu Zehua Guo Guozhen Cheng Hongchao Hu National Digital Switching System Engineering & Technology Research Center Zhengzhou P.R. China School of Electronics and Information Northwestern Polytechnical University Xi'an P.R. China

ISBN: (纸本)9781467399562

Network virtualization is a double-edged sword that facilitates network innovation but may cause information leakage between virtual nodes coexisting on the same substrate node via covert channels. This paper represents the first attempt to consider risk-tolerant coexistence in virtual network embedding. We propose a secure virtual network embedding scheme to mitigate the risk of covert channel attacks. Simulation results show that our scheme improves the percentage of secure virtual nodes by 40%.

关键词： Security Substrates Error analysis Virtualization Computers Cloud computing Simulation

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Low latency mesh-based hierarchical network-on-chip structure

Low latency mesh-based hierarchical network-on-chip structur...

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2015 5th International Workshop on Computer Science and engineering: Information Processing and Control engineering, WCSE 2015-IPCE

作者： Jian, Gang Han, Guo-dong Zhou, Yu-Han National Digital Switching System Engineering and Technological R and D Center Zhengzhou450002 China

With the integration of cores increasing, on chip network (NoC) latency and throughput get worse in traditional structures. This paper proposed a novel low latency hierarchical mesh-based network-on-chip (PHNoC) structure which uses three parameters to describe hierarchical topology for the size changing design, and three types of base clusters to construct multilevel structure. Experimental results demonstrated that the proposed structure had lower latency and higher throughput than traditional 2d mesh and conventional hierarchical NoC in different size systems, and the larger size the better performance it improved.

关键词： Network-on-chip

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