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Evolutionary Cryptography Theory-Based Generating Method for Secure ECs

Tsinghua Science and Technology 2017年第5期22卷 499-510页

作者： Chao Wang Feng Hu Huanguo Zhang Jie Wu the Key Laboratory of Specialty Fiber Optics and Optical Access Networks School of Communication and Information EngineeringShanghai University the Department of Computer and Information Sciences Temple University the Key Lab of Aerospace Information Security and Trusted Computing Wuhan University

Ant Colony Optimization （AGO） has the character of positive feedback, distributed searching, and greedy searching. It is applicable to optimization grouping problems. Traditional cryptographic research is mainly based on pure mathematical methods which have complicated theories and algorithm. It seems that there is no relationship between cryptography and ACO. Actually, some problems in cryptography are due to optimization grouping problems that could be improved using an evolutionary algorithm. Therefore, this paper presents a new method of solving secure curve selection problems using ACO. We improved Complex Multiplication （CM） by combining Evolutionary Cryptography Theory with Weber polynomial solutions. We found that ACO makes full use of valid information generated from factorization and allocates computing resource reasonably. It greatly increases the performance of Weber polynomial solutions. Compared with traditional CM, which can only search one root once time, our new method searches all roots of the polynomial once, and the average time needed to search for one root reduces rapidly. The more roots are searched, the more ECs are obtained.

关键词： ECs Weber polynomial evolutionary algorithm ant algorithm complex multiplication

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A Pan-sharpening Method for Multispectral Image with Back Propagation Neural Network and Its Parallel Optimization Based on Spark 5

A Pan-sharpening Method for Multispectral Image with Back Pr...

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2017 International Conference on Progress in Informatics and Computing(PIC)

作者： Zhongzheng Ding Zebin Wu Wei Huang Xianliang Yin Jin Sun Yi Zhang Zhihui Wei Yan Zhang School of Computer Science and Engineering Nanjing University of Science and Technology Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks

ISBN: (纸本)9781538619797;9781538619780

The Pan-sharpening method,which is used to address the fusion problem of multispectral(MS) images and panchromatic(PAN) images,has continuously been a hot spot in image fusion *** order to improve the quality and accuracy of the fused image,this paper proposes a Pansharpening method for MS image based on Back Propagation(BP)neural network,and further uses the Spark platform and the TensorFlowOnSpark(TFOS) framework to optimize the BP neural *** experimental results show that the proposed method effectively enhances the quality of the fused image,and the parallel optimization method for BP neural network based on Spark improves the computational efficiency while ensuring the fusion accuracy.

关键词： Pan-sharpening Back Propagation neural network TensorFlowOnSpark

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Simple Method for Realizing Weil Theorem in Secure ECC Generation

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Tsinghua Science and Technology 2017年第5期22卷 511-519页

作者： Feng Hu Chao Wang Huanguo Zhang Jie Wu the Key Laboratory of Specialty Fiber Optics and Optical Access Networks School of Communication and Information EngineeringShanghai University the Department of Computer and Information Sciences Temple University the Key Lab of Aerospace Information Security and Trusted Computing Wuhan University

How to quickly compute the number of points on an Elliptic Curve （EC） has been a longstanding challenge. The computational complexity of the algorithm usually employed makes it highly inefficient. Unlike the general EC, a simple method called the Weil theorem can be used to compute the order of an EC characterized by a small prime number, such as the Kobltiz EC characterized by two. The fifteen secure ECs recommended by the National Institute of Standards and Technology （NIST） Digital Signature Standard contain five Koblitz ECs whose maximum base domain reaches 571 bits. Experimental results show that the computation speed decreases for base domains exceeding 600 bits. In this paper, we propose a simple method that combines the Weil theorem with Pascals triangle, which greatly reduces the computational complexity. We have validated the performance of this method for base fields ranging from 2l^100 to 2^1000. Furthermore, this new method can be generalized to any ECs characterized by any small prime number.

关键词： Elliptic Curves （ECs） Pascal＇s triangle Weil theorem

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Optimal Spectrum Sensing-Access Policy in Energy Harvesting Cognitive Radio Sensor networks

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Procedia computer Science 2018年 129卷 194-200页

作者： Fan Zhang Tao Jing Yan Huo Liran Ma School of Electronics and Information Engineering Beijing Jiaotong University Beijing China Science and Technology on Communication Networks Laboratory Beijing China Department of Computer Science Texas Christian University Fort Worth TX USA

In this paper, we introduce energy harvesting into a cognitive radio sensor network to power the network with renewable energy sources so as to achieve self-sustainability of energy-limited sensors. In our work, the cognitive radio technology enable sensors access to the underutilized spectrum for the purpose of coping with the spectrum-scarcity problem in the unlicensed band. Using centralized cooperative spectrum sensing, a set of cognitive sensors is chosen from candidate sensors with different received primary users’ signal powers and energy-arrival rates. After detecting the state of a primary channel, we also need to determine which cognitive sensor can get to access the primary channel as well as the power level to be used upon the transmission. The above sensing-access design problem is formulated as an infinite-horizon partially observable Markov decision process, in which the primary goal is to maximize the long-term expected throughput. Through using a value iteration approach, we propose an optimal sensing-access policy. At last, numerical results are presented to verify the superiority of our proposed policy to the existing policy.

关键词： Energy harvesting cognitive radio sensor networks cooperative sensing partially observable Markov decision process

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All-Dielectric Transformed Material for Microwave Broadband Orbital Angular Momentum Vortex Beam

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Physical Review Applied 2019年第2期12卷 024064-024064页

作者： Jianjia Yi Xueqi Cao Rui Feng Badreddine Ratni Zhihao Jiang Danny Zhu Lina Zhu André de Lustrac Douglas H. Werner Shah Nawaz Burokur Key Laboratory of Integrated Services Networks Xidian University No. 2 South Taibai Road Xi’an 710071 Shaanxi China Centre de Nanosciences et de Nanotechnologies CNRS Université Paris-Saclay 10 Boulevard Thomas Gobert 91120 Palaiseau France LEME Université Paris Nanterre 92410 Ville d’Avray France State Key Laboratory of Millimeter Waves Southeast University Nanjing 210096 Jiangsu China Department of Electrical Engineering and Computer Science U.S. Military Academy West Point New York 10996 USA Department of Electrical Engineering The Pennsylvania State University University Park Pennsylvania 16802 USA

Electromagnetic waves exhibiting vortex properties from orbital angular momentum (OAM) modes that are inherently orthogonal show promising potential for a wide range of applications. However, classic OAM-wave generators in the radio-frequency band are generally limited by a narrow operation bandwidth, complicated feeding structures, or high losses. In this work, we propose a method for OAM-wave generation using the concept of spatial transformation at microwave frequencies. A reflection-type vortex-beam generator is designed and simulated. Then an all-dielectric proof-of-concept prototype for a +1 topological charge is physically implemented and the complete characterization of the device is reported. Both full-wave simulations and experimental measurements successfully validate the spiral-shaped phase fronts of the vortex wave. Furthermore, the all-dielectric implementation of the device enables operation over a broad frequency bandwidth. The proposed method provides an efficient approach to generate vortex waves carrying OAM modes and illustrates the practicality of using spatial transformations to achieve an alternative class of optical devices at microwave frequencies.

关键词： Angular momentum of light Beam optics Metamaterials Optical vortices Photonics Ultrathin films Methods in electromagnetism Microwave techniques

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UbiEar: Bringing location-independent sound awareness to the hard-of-hearing people with smartphones

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Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2017年第2期1卷 1–21页

作者： Sicong, L.I.U. Zhou, Zimu Junzhao, D.U. Shangguan, Longfei Han, Jun Wang, Xin School of Computer Science and Technology Xidian University China Computer Engineering and Networks Laboratory ETH Zurich Switzerland School of Computer Science and Technology School of Software and Institute of Software Engineering Xidian University China Department of Computer Science Princeton University United States School of Software and Institute of Software Engineering Xidian University China

Non-speech sound-awareness is important to improve the quality of life for the deaf and hard-of-hearing (DHH) people. DHH people, especially the young, are not always satisfied with their hearing aids. According to the interviews with 60 young hard-of-hearing students, a ubiquitous sound-awareness tool for emergency and social events that works in diverse environments is desired. In this paper, we design UbiEar, a smartphone-based acoustic event sensing and notification system. Core techniques in UbiEar are a light-weight deep convolution neural network to enable location-independent acoustic event recognition on commodity smartphons, and a set of mechanisms for prompt and energy-efficient acoustic sensing. We conducted both controlled experiments and user studies with 86 DHH students and showed that UbiEar can assist the young DHH students in awareness of important acoustic events in their daily life. © 2017 Copyright held by the owner/author(s). Publication rights licensed to Association for Computing Machinery.

关键词： Students

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Ultra-dense LEO: Integrating terrestrial-satellite networks into 5g and beyond for data offloading

arXiv

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arXiv 2018年

作者： Di, Boya Zhang, Hongliang Song, Lingyang Li, Yonghui Li, Geoffrey Ye State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer Science Peking University Beijing China School of Electrical and Information Engineering University of Sydney School of Electrical and Computer Engineering Georgia Institute of Technology United States

In this paper, we propose a terrestrial-satellite network (TSN) architecture to integrate the ultradense low earth orbit (LEO) networks and the terrestrial networks to achieve efficient data offloading. In TSN, each ground user can access the network over C-band via a macro cell, a traditional small cell, or a LEO-backhauled small cell (LSC). Each LSC is then scheduled to upload the received data via multiple satellites over Ka-band. We aim to maximize the sum data rate and the number of accessed users while satisfying the varying backhaul capacity constraints jointly determined by the LEO satellite based backhaul links. The optimization problem is then decomposed into two closely connected subproblems and solved by our proposed matching algorithms. Simulation results show that the integrated network significantly outperforms the non-integrated ones in terms of the sum data rate. The influence of the traffic load and LEO constellation on the system performance is also discussed. Copyright © 2018, The Authors. All rights reserved.

关键词： Orbits

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Suppression of Laser Frequency Noise Induced Phase Noise in Brillouin Optoelectronic Oscillator

Suppression of Laser Frequency Noise Induced Phase Noise in ...

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OptoElectronics and Communications Conference, OECC

作者： Huanfa Peng Rui Guo Huayang Du Yongchi Xu Jingbiao Chen Zhangyuan Chen State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer Science Peking University Beijing P. R. China

A method to suppress the laser frequency noise induced phase noise in Brillouin optoelectronic oscillator is experimentally demonstrated. Phase noise performance at 100Hz, 1kHz and 10kHz offset are improved by 30dB, 3... 详细信息

ISBN: (纸本)9781538691465

关键词： Gold Optical fiber amplifiers Phase noise Amplitude modulation Optical amplifiers

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Unfolding the Mutual Relation between Timeliness and Scalability in Cloud Monitoring

Unfolding the Mutual Relation between Timeliness and Scalabi...

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2018 IEEE Symposium on computers and Communications, ISCC 2018

作者： Da Cunha Rodrigues, Guilherme Calheiros, Rodrigo N. Dos Santos, Glederson Lessa Guimaraes, Vinicius Tavares Granville, Lisandro Zambenedetti Tarouco, Liane Buyya, Rajkumar Science and Technology sul Rio-Grandense Federal Institute of Education Charqueadas Brazil School of Computing Engineering and Mathematics Western Sydney University Sydney Australia Computer Networks Group Institute of Informatics Federal University of Rio Grande Do sul Porto Alegre Brazil Laboratory School of Computing and Information Systems University of Melbourne Melbourne Australia

ISBN: (纸本)9781538669501

Cloud computing is a suitable solution for professionals, companies, and institutions that need to have access to computational resources on demand. Clouds rely on proper management to provide such computational resources with adequate quality of service, which is established by Service Level Agreements (SLAs), to customers. In this context, cloud monitoring is a critical function to achieve such proper management. Cloud monitoring systems have to accomplish requirements to perform its functions properly, and currently, there are plenty of requirements which includes: timeliness, adaptability, comprehensiveness, and scalability. However, such requirements usually have mutual influence, which is positive or negative, among themselves, and it has prevented the development of complete cloud monitoring solutions. This paper presents a mathematical model to predict the mutual influence between timeliness and scalability, which is a step forward in cloud monitoring because it paves the way for the development of complete monitoring solutions. It complements our previous work that identified the monitoring parameters (e.g., frequency sampling, amount of monitoring data) that influence timeliness and scalability. Evaluations present the effectiveness of the mathematical model based on a comparison of the results provided by the mathematical model and the results obtained via simulation. © 2018 IEEE.

关键词： Scalability

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Large margin multi-modal multi-task feature extraction for image classification

arXiv

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arXiv 2019年

作者： Luo, Yong Wen, Yonggang Tao, Dacheng Gui, Jie Xu, Chao School of Electronics Engineering and Computer Science Peking University Beijing China Division of Networks and Distributed Systems School of Computer Engineering Nanyang Technological University Singapore Centre for Quantum Computation & Intelligent Systems Faculty of Engineering & Information Technology University of Technology Sydney Sydney Australia Centre for Quantum Computation & Intelligent Systems Faculty of Engineering and Information Technology University of Technology Sydney 81 Broadway Street UltimoNSW2007 Australia Hefei Institute of Intelligent Machines Chinese Academy of Sciences Hefei230031 China Center for Research on Intelligent Perception and Computing National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing100190 China

The features used in many image analysis-based applications are frequently of very high dimension. Feature extraction offers several advantages in high-dimensional cases, and many recent studies have used multi-task feature extraction approaches, which often outperform single-task feature extraction approaches. However, most of these methods are limited in that they only consider data represented by a single type of feature, even though features usually represent images from multiple modalities. We therefore propose a novel large margin multi-modal multi-task feature extraction (LM3FE) framework for handling multi-modal features for image classification. In particular, LM3FE simultaneously learns the feature extraction matrix for each modality and the modality combination coefficients. In this way, LM3FE not only handles correlated and noisy features, but also utilizes the complementarity of different modalities to further help reduce feature redundancy in each modality. The large margin principle employed also helps to extract strongly predictive features so that they are more suitable for prediction (e.g., classification). An alternating algorithm is developed for problem optimization and each sub-problem can be efficiently solved. Experiments on two challenging real-world image datasets demonstrate the effectiveness and superiority of the proposed method. Copyright © 2019, The Authors. All rights reserved.

关键词： Feature extraction

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