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arXiv 2020年

作者： Zhu, Ruiguo Yu, Hong Tan, Zhijie Lu, Ronghua Han, Shensheng Huang, Zengfeng Wang, Jian Key Laboratory for Quantum Optics Center for Cold Atom Physics of CAS Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences Shanghai201800 China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing10049 China Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Hangzhou310024 School of Data Science Fudan-Xinzailing Joint Research Centre for Big Data Fudan University Shanghai200433 China

Ghost imaging incorporating deep learning technology has recently attracted much attention in the optical imaging field. However, deterministic illumination and multiple exposure are still essential in most scenarios. Here we propose a ghost imaging scheme based on a novel conjugate-decoding deep learning framework (Y-net), which works well under both deterministic and indeterministic illumination. Benefited from the end-to-end characteristic of our network, the image of a sample can be achieved directly from a pair of correlated speckles collected by the detectors, and the sample is illuminated only once in the experiment. The spatial distribution of the speckles encoding the sample in the experiment can be completely different from that of the simulation speckles for training, as long as the statistical characteristics of the speckles remain unchanged. This approach is particularly important to high-resolution x-ray ghost imaging applications due to its potential for improving image quality and reducing radiation damage. And the idea of conjugate-decoding network may also be applied to other learning-based imaging. Copyright © 2020, The Authors. All rights reserved.

关键词： Decoding

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Properties of SV-Style Homomorphic Encryption and Their Application

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Chinese Journal of Electronics 2017年第5期26卷 926-932页

作者： CHEN Hu HU Yupu LIAN Zhizhu State Key Laboratory of Integrated Service Networks Xidian University Jiangsu Key Laboratory of Education Big Data Science and Engineering Jiangsu Normal University

Several special properties of Smart and Vercauteren’s encryption scheme are put *** are all based on the special parameter,which is a recommended modulus *** properties not only show that the secret key is deduced from an N-dimensional vector into its any entry,but also produce the triplet(grade-i reduced plaintext space,grade-i reduced ciphertext space,grade-i reduced secret key) for each i,where grade-i reduced secret key can decrypt grade-i reduced ciphertexts and can be efficiently computed from grade-i delegated *** the same time,sequentially grade-(i + 1)delegated key can be efficiently computed from grade-i delegated *** work also discusses a sequential computation in opposite direction,i.e.,computing grade-i delegated key from grade-(i + 1) delegated *** the sequential computation in the opposite direction is difficult except at most the first steps of such sequential *** on the properties given,we then propose a simple hierarchical encryption scheme with relatively small key and ciphertext sizes.

关键词： Lattice-based cryptosystem Fully homomorphic encryption Hierarchical encryption

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Threshold and Deadline Effect in Crowdfunding

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Procedia Computer Science 2019年 162卷 339-346页

作者： Yan Song Xin Tian Chunlin Luo Research Center on Fictitious Economy and Data Science Chinese Academy of Sciences Beijing 100190China School of Economics and Management University of Chinese Academy of Sciences Beijing 100190China Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing 100190China School of Information Technology Jiangxi University of Finance and Economics Nanchang Jiangxi 330013China

The deadline effect and threshold effect are common in product development and group buying. We consider these two effects also exist in crowdfunding, affecting the crowdfunding performance in the future. We conduct an empirical study using a dataset from *** to examine these two effects and their interactive relationship on the following crowdfunding performance. We find the threshold effect exists in crowdfunding and has a positive influence on the following contribution behaviour. The deadline effect also can stimulate the crowdfunding behaviour via limited fundraising time. Furthermore, we find the threshold effect and deadline effect are complements that increase the amount pledged.

关键词： crowdfunding performance threshold effect deadline effect interactive effect

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An Integrated Semantic-Syntactic SBLSTM Model for Aspect Specific Opinion Extraction 15th

An Integrated Semantic-Syntactic SBLSTM Model for Aspect Spe...

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15th Web Information Systems and Applications Conference, WISA 2018

作者： Han, Zhongming Jiang, Xin Li, Mengqi Zhang, Mengmei Duan, Dagao School of Computer and Information Engineering Beijing Technology and Business University Beijing100048 China Beijing Key Laboratory of Big Data Technology for Food Safety Beijing China

ISBN: (纸本)9783030029333

Opinion Mining (OM) of Internet reviews is one of the key issues in Natural Language Processing (NLP) field. This paper proposes a stacked Bi-LSTM aspect opinion extraction model in which semantic and syntactic features are both integrated. The model takes embedded vector which is composed by word embedding, POS tags and dependency relations as its input while taking label sequence as its output. The experimental results show the effectiveness of this structural features embedded stacked Bi-LSTM model on cross-domain and cross-language datasets, and indicate that this model outperforms the state-of-the-art methods. © 2018, Springer Nature Switzerland AG.

关键词： Syntactics

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Leveled Homomorphic Encryption in Certificateless Cryptosystem

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Chinese Journal of Electronics 2017年第6期26卷 1213-1220页

To lower communication complexity, a Certificateless homomorphic encryption(CLHE) scheme based on the Learning with errors(LWE) problem is constructed by introducing a new technique called probabilistic encoding with weakly homomorphic property. This technique can conveniently convert an intended message into two elements in a ring, which will be respectively encrypted under both public keys of a user in certificateless *** knowing both elements simultaneously, the original message can be easily recovered. It is hidden perfectly by the probabilistic property of encoding. This CLHE removes evaluation keys by using the approximate eigenvector method given by Gentry et al., which makes it into a pure CLHE. It is proven to be semantic secure in the Random oracle model(ROM). The results indicate it is able to homomorphically evaluate any functions in a class functions with given multiplicative depth L.

关键词： Certificateless cryptosystem Lattice cryptography Fully homomorphic encryption Learning with errors Random oracle model

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Analyses of geographical observations in the Heihe River Basin: Perspectives from complexity theory

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Journal of Geographical Sciences 2019年第9期29卷 1441-1461页

作者： Gao Jianbo FANG Peng YUAN Lihua State Key Laboratory of Earth Surface Processes and Resource Ecology Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China Institute of Complexity Science and Big Data Technology Guangxi UniversityNanning 530004China Wuhan National Laboratory for Optoelectronics Key Laboratory of In formation Storage SystemEngineering Research Center of Data Storage Systems and TechnologyMinistry of Education of ChinaSchool of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhan 430074China Center for GeoData and Analysis Faculty of Geographical ScieneeBeijing Normal UniversityBeijing 100875China

Since 2005,dozens of geographical observational stations have been established in the Heihe River Basin(HRB),and by now a large amount of meteorological,hydrological,and ecological observations as well as data pertaining to water resources,soil and vegetation have been *** adequately analyze these available data and data to be further collected in future,we present a perspective from complexity *** concrete materials covered include a presentation of adaptive multiscale filter,which can readily determine arbitrary trends,maximally reduce noise,and reliably perform fractal and multifractal analysis,and a presentation of scale-dependent Lyapunov exponent(SDLE),which can reliably distinguish deterministic chaos from random processes,determine the error doubling time for prediction,and obtain the defining parameters of the process *** adaptive filter is illustrated by applying it to obtain the global warming trend and the Atlantic multidecadal oscillation from sea surface temperature data,and by applying it to some variables collected at the HRB to determine diurnal cycle and fractal *** SDLE is illustrated to determine intermittent chaos from river flow data.

关键词： Heihe River basin geographical observation complexity theory adaptive multiscale filter fractal analysis scale-dependent Lyapunov exponent

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Adaptive Hybrid Projective Models for Aerial Video Stitching

Adaptive Hybrid Projective Models for Aerial Video Stitching

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International Conference on Systems and Informatics (ICSAI)

作者： Runping Xi Tianyi Han Yaqing Zhang Qianqian Han School of Computer Science Northwestern Polytechnical University National Engineering Laboratory of Integrated Aero-Space-Ground-Ocean Big Data Application Technology Shaanxi Provincial Key Laboratory of Speech & Image Information Processing Xi'an China

ISBN: (数字)9781728152561

ISBN: (纸本)9781728152578

Aerial video stitching has been widely used in many fields such as large-scale videos surveillance, disaster monitoring and unmanned aerial vehicle (UAV) navigation. Ghosting and parallax are challenging problems when the video streams are captured by UAV. This paper presents a novel method based on hybrid projective model which combines local warp alignment and global warp projection for better registration accuracy. The geometric alignment model is used for global registration of images and the content-preserving alignment model is used for local refinement. Simultaneously, reference frame is updated adaptively according to the shift of scenery, which is used to eliminate the cumulative error appearing in long video streams. The proposed approach has been tested under multiple datasets in different scenarios, which shows good performance.

关键词： Streaming media Feature extraction Adaptation models Cameras Image fusion Distortion Unmanned aerial vehicles

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Transferring knowledge distillation for multilingual social event detection

arXiv

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arXiv 2021年

作者： Ren, Jiaqian Peng, Hao Jiang, Lei Wu, Jia Tong, Yongxin Wang, Lihong Bai, Xu Wang, Bo Yang, Qiang Institute of Information Engineering Chinese Academy of Sciences The School of Cyber Security University of Chinese Academy of Sciences Beijing100041 China Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing100083 China The School of Cyber Science and Technology Beihang University Beijing100083 China Institute of Information Engineering Chinese Academy of Sciences Beijing100041 China The Department of Computing Macquarie University Sydney Australia The State Key Laboratory of Software Development Environment The School of Computer Science and Engineering Beihang University Beijing100083 China The National Computer Network Emergency Response Technical Team Coordination Center of China Beijing100029 China The Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong AI Group WeBank Co. Ltd. China

Recently published graph neural networks (GNNs) show promising performance at social event detection tasks. However, most studies are oriented toward monolingual data in languages with abundant training samples. This has left the more common multilingual settings and lesser-spoken languages relatively unexplored. Thus, we present a GNN that incorporates cross-lingual word embeddings for detecting events in multilingual data streams. The first exploit is to make the GNN work with multilingual data. For this, we outline a construction strategy that aligns messages in different languages at both the node and semantic levels. Relationships between messages are established by merging entities that are the same but are referred to in different languages. Non-English message representations are converted into English semantic space via the cross-lingual word embeddings. The resulting message graph is then uniformly encoded by a GNN model. In special cases where a lesser-spoken language needs to be detected, a novel cross-lingual knowledge distillation framework, called CLKD, exploits prior knowledge learned from similar threads in English to make up for the paucity of annotated data. Experiments on both synthetic and real-world datasets show the framework to be highly effective at detection in both multilingual data and in languages where training samples are scarce. © 2021, CC BY.

关键词： Embeddings

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Evaluation and application of shallow buried tunnel construction safety based on combined empowerment-multidimensional cloud model

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IOP Conference Series: Earth and Environmental Science 2021年第1期791卷

作者： Shang Liu Jie Song Run Xu Changyong Zhang Guoqiang Zhong Chao Wang Shandong Provincial Communications Planning and Design Institute Group Co. LTD Shandong Jinan China Shandong Province highway traffic safety big data engineering laboratory Shandong Jinan China Key Laboratory of tunnel information construction and intelligent control transportation industry Shandong Jinan China

In order to study the influence of various factors on the construction safety of shallow buried tunnels, a multifactor evaluation model consisting of 9 indicators, such as tunnel size, the buried depth, surrounding rock condition and construction management, is established from the perspective of '4M1E' by combining the characteristics of shallow buried tunnel construction by borehole-blasting method. It combines the advantages of subjective weighting method AHP and objective weighting method CRITIC, and determines the comprehensive weight values through the combined weighting method, which is used to improve the weight assignment of multi-dimensional normal cloud model, and evaluates the stability of the surrounding rock at the entrance and exit of the shallow buried tunnel based on the concepts of expectation, entropy and super entropy of the cloud model. And then it accurately obtains the construction safety of the entrance and exit of the shallow buried tunnel, and the evaluation results have scientific guidance for the control of construction risks.

关键词：

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N-Docker: A NVM-HDD Hybrid Docker Storage Framework to Improve Docker Performance 16th

N-Docker: A NVM-HDD Hybrid Docker Storage Framework to Impro...

引用

16th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2019

作者： Gu, Lin Tang, Qizhi Wu, Song Jin, Hai Zhang, Yingxi Shi, Guoqiang Lin, Tingyu Rao, Jia National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China State Key Laboratory of Intelligent Manufacturing System Technology Beijing100854 China The University of Texas at Arlington ArlingtonTX76019 United States

ISBN: (纸本)9783030307080

Docker has been widely adopted in production environment, but unfortunately deployment and cold-start of container are limited by the low speed of disk. The emerging non-volatile memory (NVM) technology, which has high speed and can store data permanently, brings a new chance to accelerate the deployment and cold-start of container. However, it is expensive to replace the whole hard disk driver (HDD) with NVM. To achieve the fastest deployment and cold-start with lowest cost, we conduct in-depth analysis on the Top-134 images in Docker Hub and obtain two main insights as: (1) the storing latency of layered image has become the bottleneck of container deployment;(2) only a few image layers are required for container cold-start. Based on these two findings, we propose a NVM-HDD hybrid docker storage framework as N-Docker. It can effectively accelerate container cold-start by detecting the bottleneck layers as well as cold-start required layers and storing them into NVM for faster container startup with limited NVM capacity. Experimental results show that N-Docker can accelerate the container deployment by 1.21X and cold-start by 2.96X. Compared to NVM-Docker, which stores all images into NVM, N-Docker achieves the same performance improvements while reducing the usage of NVM by 88.22%. © 2019, IFIP International Federation for Information Processing.

关键词： Containers

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