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Implementation of Positive Operator-Valued Measure in Passive Faraday Mirror Attack

Communications in Theoretical Physics 2015年第3期63卷 296-302页

作者：王卫龙高明马智 State Key Laboratory of Mathematical Engineering and Advanced Computing

Passive Faraday-mirror(PFM) attack is based on imperfect Faraday mirrors in practical quantum cryptography systems and a set of three-dimensional Positive Operator-Valued Measure(POVM) operators plays an important role in this *** this paper,we propose a simple scheme to implement the POVM in PFM attack on an FaradayMichelson quantum cryptography *** the POVM can not be implemented directly with previous methods,in this scheme it needs to expand the states sent by Alice and the POVM operators in the attack into four-dimensional Hilbert space first,without changing the attacking effect by *** on the methods proposed by Ahnert and Payne,the linear-optical setup for implementing the POVM operators is *** last,the complete setup for realizing the PFM attack is presented with all ***,our scheme can also be applied to realize PFM attack on a plug-and-play system by changing the parameters in the setup.

关键词： Faraday mirrors passive Faraday mirror attack POVM linear optics

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A Brief Survey of Specification Inference in Static Program Analysis

A Brief Survey of Specification Inference in Static Program ...

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2016 2nd International Conference on Advances in Mechanical engineering and Industrial Informatics(AMEII 2016)

作者： Chuansen Chai Xuexiong Yan Qingxian Wang Shukai Liu Yajing Sun Shuai Yi State Key Laboratory of Mathematical Engineering and Advanced Computing

ISBN: (纸本)9781510823808

Nowadays,many applications are too big to keep their own *** analysis is a technique which can be used for ensure the safety of large ***,frequent calls to libraries and frameworks bring a lot of difficulties to the *** propose the specification inference to solve the *** survey the recent advances in specification inference techniques and divide them into three groups by the methods they adopt which are domain specific language(DSL),data mining and abductive inference,*** we take a detailed look at the representative results in each *** is our hope that we can see more creative achievements in this field by doing this work.

关键词： Survey Specification Inference Static Analysis

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Floating Point Optimization Based on Binary Translation System QEMU

Floating Point Optimization Based on Binary Translation Syst...

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2016 2nd Workshop on advanced Research and Technology in Industry Applications(WARTIA 2016)

作者： Qiang Shi Rongcai Zhao State Key Laboratory of Mathematical Engineering and Advanced Computing

Binary translation system,a technique for translating executable binary program,could transform the code operating on a system structure into the command of another system ***,in multi-source translation system,the efficiency in floating point instruction translation realized by relying on software is not *** floating point computation capacity is the important indicator of computer *** taking SW processor as the target platform,translation algorithm for floating point optimization based on QEMU translation system is put *** mainly includes the following two stages:firstly,the content of identifying floating point computation invoking helper function,the number obtaining parameter and returned value,data type information;secondly,the floating point operation of changing into local floating point operation and reduce the redundant floating points according to the standard of *** to the experiment of NPB test set,it manifests that the average speed-up ratio of floating point optimization algorithm can reach 30%.

关键词： Binary Translation QEMU Float Point Instruction Optimization

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Static Detection of Execution After Redirect Vulnerabilities in PHP Applications

Static Detection of Execution After Redirect Vulnerabilities...

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2016 IEEE 7th International Conference on Software engineering and Service Science

作者： Chuansen Chai Xuexiong Yan Qingxian Wang Shukai Liu State Key Laboratory of Mathematical Engineering and Advanced Computing

In recent years,modern web applications are becoming more and more complex and it makes difficult for developers to audit the *** number of attacks against these applications has increased *** detection techniques for web applications are badly in *** after execution(EAR) vulnerability is a kind of logic flaws for web *** allows the server-side execution continuing after the intended halting *** may result in serious consequences such as information *** this paper,we propose a path-sensitive inter-procedural analysis to detect EAR vulnerabilities in PHP web *** analysis improves the traditional detection method by verifying the path conditions and considers more details which may influence the false-positive *** have shown how our approach can handle situations where other existing tools may fail by some real-world examples.

关键词： sialic analysis path sensitive EAR php

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LID-senone extraction via deep neural networks for end-to-end language identification

LID-senone extraction via deep neural networks for end-to-en...

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Speaker and Language Recognition Workshop, Odyssey 2016

作者： Jin, Ma Song, Yan McLoughlin, Ian Dai, Li-Rong Ye, Zhong-Fu National Engineering Laboratory of Speech and Language Information Processing University of Science and Technology of China China School of Computing University of Kent Medway United Kingdom State Key Laboratory of Mathematical Engineering and Advanced Computing China

A key problem in spoken language identification (LID) is how to effectively model features from a given speech utterance. Recent techniques such as end-to-end schemes and deep neural networks (DNNs) utilising transfer learning such as bottleneck (BN) features, have demonstrated good overall performance, but have not addressed the extraction of LID-specific features. We thus propose a novel end-to-end neural network which aims to obtain effective LID-senone representations, which we define as being analogous to senones in speech recognition. We show that LID-senones combine a compact representation of the original acoustic feature space with a powerful descriptive and discriminative capability. Furthermore, a novel incremental training method is proposed to extract the weak language information buried in the acoustic features of insufficient language resources. Results on the six most confused languages in NIST LRE 2009 show good performance compared to state-of-the-art BN-GMM/i-vector and BN-DNN/i-vector systems. The proposed end-to-end network, coupled with an incremental training method which mitigates against over-fitting, has potential not just for LID, but also for other resource constrained tasks. © Odyssey 2016: Speaker and Language Recognition Workshop. All rights reserved.

关键词： Deep neural networks

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Title: Valley-Hall photonic topological insulators with dual-band kink states

arXiv

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arXiv 2018年

作者： Chen, Q. Zhang, L. He, M. Gao, F. Chen, H. Chen, Q. Zhang, L. He, M. Gao, F. Chen, H. Wang, Z. Lin, X. Yang, Y. Zhang, B. Yang, Y. Zhang, B. State Key Laboratory of Modern Optical Instrumentation College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China Key Lab. of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang Electromagnetics Academy at Zhejiang University Zhejiang University Hangzhou310027 China School of Information Science and Engineering Shandong University Jinan250100 China Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University 21 Nanyang Link Singapore637371 Singapore Centre for Disruptive Photonic Technologies Photonics Institute Nanyang Technological University 50 Nanyang Avenue Singapore639798 Singapore

Extensive researches have revealed that valley, a binary degree of freedom (DOF), can be an excellent candidate of information carrier. Recently, valley DOF has been introduced into photonic systems, and several valley-Hall photonic topological insulators (PTIs) have been experimentally demonstrated. However, in the previous valley-Hall PTIs, topological kink states only work at a single frequency band, which limits potential applications in multiband waveguides, filters, communications, and so on. To overcome this challenge, here we experimentally demonstrate a valley-Hall PTI, where the topological kink states exist at two separated frequency bands, in a microwave substrate-integrated circuitry. Both the simulated and experimental results demonstrate the dual-band valley-Hall topological kink states are robust against the sharp bends of the internal domain wall with negligible inter-valley scattering. Our work may pave the way for multi-channel substrate-integrated photonic devices with high efficiency and high capacity for information communications and processing. Copyright © 2018, The Authors. All rights reserved.

关键词： Electric insulators

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Type-I hyperbolic metasurfaces for highly-squeezed designer polaritons with negative group velocity

arXiv

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arXiv 2018年

作者： Yang, Yihao Qin, Pengfei Lin, Xiao Li, Erping Wang, Zuojia Zhang, Baile Chen, Hongsheng State Key Laboratory of Modern Optical Instrumentation College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China Key Lab. of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang Electromagnetics Academy at Zhejiang University Zhejiang University Hangzhou310027 China Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University 21 Nanyang Link Singapore637371 Singapore Centre for Disruptive Photonic Technologies Photonics Institute Nanyang Technological University 50 Nanyang Avenue Singapore639798 Singapore School of Information Science and Engineering Shandong University Qingdao266237 China

Hyperbolic polaritons in van der Waals materials and metamaterial heterostructures provide unprecedenced control over light-matter interaction at the extreme nanoscale. Here, we propose a concept of type-I hyperbolic metasurface supporting highly-squeezed magnetic designer polaritons, which act as magnetic analogues to hyperbolic polaritons in the hexagonal boron nitride (h-BN) in the first Reststrahlen band. Comparing with the natural h-BN, the size and spacing of the metasurface unit cell can be readily scaled up (or down), allowing for manipulating designer polaritons in frequency and in space at will. Experimental measurements display the cone-like hyperbolic dispersion in the momentum space, associating with an effective refractive index up to 60 and a group velocity down to 1/400 of the light speed in vacuum. By tailoring the proposed metasurface, we experimentally demonstrate an ultra-compact (with a footprint shrunken by 3600 times) integrated designer polariton circuit including high-transmission 90° sharp bending waveguides and waveguide splitters. The designed metasurface with a low profile, lightweight, and ease of access, can serve as an alternatively promising platform for emerging polaritonics, and may find many other potential applications, such as waveguiding, sensing, subdiffraction focusing/imaging, low-threshold Cherenkov radiation, strong magnetic transition enhancement, wireless energy transfer, and so forth. Copyright © 2018, The Authors. All rights reserved.

关键词： Phonons

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Cooperative computing Techniques for a Deeply Fused and Heterogeneous Many-Core Processor Architecture

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Journal of Computer Science & Technology 2015年第1期30卷 145-162页

作者：郑方李宏亮吕晖过锋许晓红谢向辉 State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi 214125 China

Due to advances in semiconductor techniques, many-core processors have been widely used in high performance computing. However, many applications still cannot be carried out efficiently due to the memory wall, which has become a bottleneck in many-core processors. In this paper, we present a novel heterogeneous many-core processor architecture named deeply fused many-core （DFMC） for high performance computing systems. DFMC integrates management processing ele- ments （MPEs） and computing processing elements （CPEs）, which are heterogeneous processor cores for different application features with a unified ISA （instruction set architecture）, a unified execution model, and share-memory that supports cache coherence. The DFMC processor can alleviate the memory wall problem by combining a series of cooperative computing techniques of CPEs, such as multi-pattern data stream transfer, efficient register-level communication mechanism, and fast hardware synchronization technique. These techniques are able to improve on-chip data reuse and optimize memory access performance. This paper illustrates an implementation of a full system prototype based on FPGA with four MPEs and 256 CPEs. Our experimental results show that the effect of the cooperative computing techniques of CPEs is significant, with DGEMM （double-precision matrix multiplication） achieving an efficiency of 94%, FFT （fast Fourier transform） obtaining a performance of 207 GFLOPS and FDTD （finite-difference time-domain） obtaining a performance of 27 GFLOPS.

关键词： heterogeneous many-core processor data stream transfer register-level communication mechanism hardwaresynchronization technique processor prototype

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Author Correction: BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

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Nature methods 2024年第10期21卷 1959页

作者： Linus Manubens-Gil Zhi Zhou Hanbo Chen Arvind Ramanathan Xiaoxiao Liu Yufeng Liu Alessandro Bria Todd Gillette Zongcai Ruan Jian Yang Miroslav Radojević Ting Zhao Li Cheng Lei Qu Siqi Liu Kristofer E Bouchard Lin Gu Weidong Cai Shuiwang Ji Badrinath Roysam Ching-Wei Wang Hongchuan Yu Amos Sironi Daniel Maxim Iascone Jie Zhou Erhan Bas Eduardo Conde-Sousa Paulo Aguiar Xiang Li Yujie Li Sumit Nanda Yuan Wang Leila Muresan Pascal Fua Bing Ye Hai-Yan He Jochen F Staiger Manuel Peter Daniel N Cox Michel Simonneau Marcel Oberlaender Gregory Jefferis Kei Ito Paloma Gonzalez-Bellido Jinhyun Kim Edwin Rubel Hollis T Cline Hongkui Zeng Aljoscha Nern Ann-Shyn Chiang Jianhua Yao Jane Roskams Rick Livesey Janine Stevens Tianming Liu Chinh Dang Yike Guo Ning Zhong Georgia Tourassi Sean Hill Michael Hawrylycz Christof Koch Erik Meijering Giorgio A Ascoli Hanchuan Peng Institute for Brain and Intelligence Southeast University Nanjing China. Microsoft Corporation Redmond WA USA. Tencent AI Lab Bellevue WA USA. Computing Environment and Life Sciences Directorate Argonne National Laboratory Lemont IL USA. Kaya Medical Seattle WA USA. University of Cassino and Southern Lazio Cassino Italy. Center for Neural Informatics Structures and Plasticity Krasnow Institute for Advanced Study George Mason University Fairfax VA USA. Faculty of Information Technology Beijing University of Technology Beijing China. Beijing International Collaboration Base on Brain Informatics and Wisdom Services Beijing China. Nuctech Netherlands Rotterdam the Netherlands. Janelia Research Campus Howard Hughes Medical Institute Ashburn VA USA. Department of Electrical and Computer Engineering University of Alberta Edmonton Alberta Canada. Ministry of Education Key Laboratory of Intelligent Computation and Signal Processing Anhui University Hefei China. Paige AI New York NY USA. Scientific Data Division and Biological Systems and Engineering Division Lawrence Berkeley National Lab Berkeley CA USA. Helen Wills Neuroscience Institute and Redwood Center for Theoretical Neuroscience UC Berkeley Berkeley CA USA. RIKEN AIP Tokyo Japan. Research Center for Advanced Science and Technology (RCAST) The University of Tokyo Tokyo Japan. School of Computer Science University of Sydney Sydney New South Wales Australia. Texas A&M University College Station TX USA. Cullen College of Engineering University of Houston Houston TX USA. Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taipei Taiwan. National Centre for Computer Animation Bournemouth University Poole UK. PROPHESEE Paris France. Department of Neuroscience Columbia University New York NY USA. Mortimer B. Zuckerman Mind Brain Behavior Institute Columbia University New York NY USA. Department of Computer Science Northern Illinois Universit

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Entity disambiguation with markov logic network knowledge graphs

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International Journal of Performability engineering 2017年第8期13卷 1293-1303页

作者： Ma, Jiangtao Wei, Tao Qiao, Yaqiong Huang, Yongzhong Xie, Weibo Zhang, Chaoqin Wang, Yanjun Zhan, Rui State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450002 China Zhengzhou University of Light Industry Zhengzhou450002 China National Digital Switching System Engineering and Technological R and D Center Zhengzhou451000 China Henan Institute of Engineering Computer College Zhengzhou451000 China North China University of Water Resources and Electric Power Zhengzhou450002 China

Disambiguating named entities is an important problem in natural language processing, knowledge base, question answering systems. In the paper, we propose a Markov logic network knowledge graph solution for solving entity resolution problem. First, we employ knowledge graph to represent the entity relationship between linked entities in the knowledge base. Then, we utilize MLN to inference the inconsistent relationship in the knowledge graph, and disambiguate the entities in the process of entity disambiguation. As far as we know, inferencing with MLN is a first attempt for entity disambiguation in the knowledge graph. We evaluate the proposed solution with three real world knowledge bases and compare it with four baseline solutions. The experimental results demonstrate that our solution is 7% higher than other baseline methods with F1 measure. We also test our scheme and compare entity resolution systems on four datasets with three knowledge base corpora. Extensive experiments show that our solution achieves higher precision and recall than baseline solutions. © 2017 Totem Publisher, Inc. All rights reserved.

关键词： Natural language processing systems

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