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arXiv 2022年

作者： Zhang, Rong Yang, Ran Guo, Jian Sun, Chang-Wei Liu, Yi-Chen Zhou, Heng Xu, Ping Xie, Zhenda Gong, Yan-Xiao Zhu, Shi-Ning National Laboratory of Solid State Microstructure School of Physics School of Electronic Science and Engineering Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing210093 China College of Electronic and Optical Engineering Nanjing University of Posts and Telecommunication Nanjing210023 China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu611731 China Institute for Quantum Information State Key Laboratory of High Performance Computing College of Computing National University of Defense Technology Changsha410073 China

The coherent superposition of position states in a quantum walk (QW) can be precisely engineered towards the desired distributions to meet the need of quantum information applications. The coherent distribution can make full use of quantum parallel in computation and simulation. Particularly, the uniform superposition provides the robust non-locality, which has wide applications such as the generation of genuine multi-bit random numbers without post-processing. We experimentally demonstrate that the rich dynamics featured with arbitrary coherent distributions can be obtained by introducing different sets of the time- and position-dependent operations. Such a QW is realized by a resource-constant and flexible optical circuit, in which the variable operation is executed based on a Sagnac interferometer in an intrinsically stable and precisely controlled way. Our results contribute to the practical realization of quantum-walk-based quantum computation, quantum simulations and quantum information protocols. Copyright © 2022, The Authors. All rights reserved.

关键词： Quantum optics

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Feature selection method for image steganalysis based on weighted inner-inter class distance and dispersion criterion 19

Feature selection method for image steganalysis based on wei...

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2019 ACM Turing Celebration Conference - China, ACM TURC 2019

作者： Ma, Yuanyuan Luo, Xiangyang Li, Zhenyu Zhang, Yi Bors, Adrian G. State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Department of Computer Science University of York York United Kingdom

ISBN: (纸本)9781450371582

In order to improve the detection of hidden information in signals, additional features are considered as inputs for steganalysers. This research study proposes a feature selection method based on Weighted Inner-Inter class Distance and Dispersion (W2ID) criterion in order to reduce the steganalytic feature dimensionality. The definition of W2ID criterion and an algorithm determining the weight for the W2ID criterion based on the frequency statistical weighting method are proposed. Then, the W2ID criterion is applied in the decision rough set a-positive domain reduction, producing the W2ID-based feature selection method. Experimental results show that the proposed method can reduce the dimension of the feature space and memory requirements of Gabor Filter Residuals (GFR) feature while maintaining or improving the detection accuracy. © 2019 Association for computing Machinery.

关键词： Feature Selection

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Butson Hadamard matrices, bent sequences, and spherical codes

arXiv

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arXiv 2023年

作者： Shi, Minjia Lu, Danni Armario, Andrés Egan, Ronan Ozbudak, Ferruh Solé, Patrick The Key Laboratory of Intelligent Computing Signal Processing Ministry of Education School of Mathematical Sciences Anhui University Hefei230601 China State Key Laboratory of Integrated Service Networks Xidian University Xi’an710071 China Departamento de Matemática Aplicada I Universidad de Sevilla Avda. Reina Mercedes s/n Seville41012 Spain School of Mathematical Sciences Dublin City University Ireland Faculty of Engineering and Natural Sciences Sabancı University Istanbul34956 Turkey I2M Aix Marseille Univ CNRS Centrale Marseille Marseilles France

We explore a notion of bent sequence attached to the data consisting of an Hadamard matrix of order n defined over the complex qth roots of unity, an eigenvalue of that matrix, and a Galois automorphism from the cyclotomic field of order q. In particular we construct self-dual bent sequences for various q ≤ 60 and lengths n ≤ 21. Computational construction methods comprise the resolution of polynomial systems by Groebner bases and eigenspace computations. Infinite families can be constructed from regular Hadamard matrices, Bush-type Hadamard matrices, and generalized Boolean bent functions. As an application, we estimate the covering radius of the code attached to that matrix over Zq. We derive a lower bound on that quantity for the Chinese Euclidean metric when bent sequences exist. We give the Euclidean distance spectrum, and bound above the covering radius of an attached spherical code, depending on its strength as a spherical design. © 2023, CC BY.

关键词： Spheres

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Maximal coin-walker entanglement in a ballistic quantum walk

arXiv

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arXiv 2022年

作者： Zhang, Rong Yang, Ran Guo, Jian Sun, Chang-Wei Duan, Jia-Chen Zhou, Heng Xie, Zhenda Xu, Ping Gong, Yan-Xiao Zhu, Shi-Ning National Laboratory of Solid State Microstructure School of Physics School of Electronic Science and Engineering Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing210093 China College of Electronic and Optical Engineering Nanjing University of Posts and Telecommunication Nanjing210023 China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu611731 China Institute for Quantum Information State Key Laboratory of High Performance Computing College of Computing National University of Defense Technology Changsha410073 China

We report the position-inhomogeneous quantum walk (IQW) can be utilized to produce the maximal high dimensional entanglement while maintaining the quadratic speedup spread of the wave-function. Our calculations show that the maximal coin-walker entanglement can be generated in any odd steps or asymptotically in even steps, and the nearly maximal entanglement can be obtained in even steps after 2. We implement the IQW by a stable resource-saving time-bin optical network, in which a polarization Sagnac loop is employed to realize the precisely tunable phase shift. Our approach opens up an efficient way for high-dimensional entanglement engineering as well as promotes investigations on the role of coin-walker interactions in QW based applications. Copyright © 2022, The Authors. All rights reserved.

关键词： Quantum entanglement

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SmartGift: Learning to Generate Practical Inputs for Testing Smart Contracts

SmartGift: Learning to Generate Practical Inputs for Testing...

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International Conference on Software Maintenance (ICSM)

作者： Teng Zhou Kui Liu Li Li Zhe Liu Jacques Klein Tegawendé F. Bissyandé Nanjing University of Aeronautics and Astronautics Nanjing China Key Laboratory of Safety-Critical Software Nanjing University of Aeronautics and Astronautics Nanjing China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China Monash University Melbourne Australia Interdisciplinary Centre for Security Reliability and Trust (SnT) University of Luxembourg Luxembourg

With the boom of Initial Coin Offerings (ICO) in the financial markets, smart contracts have gained rapid popularity among consumers. Smart contract vulnerabilities however made them a prime target to malicious attacks that are leading to huge losses. The research community is thus applying various software engineering technologies to smart contracts to address them. In general, to detect vulnerabilities in smart contracts, mutation and fuzz based testing approaches have been widely studied and indeed achieved promising performance on benchmark datasets. Generating test inputs with mutation approaches essentially relies on the available test cases in a smart contract program. In our preliminary study, however, we observed that 56.4% of 218 identified open-source smart contract project repositories do not provide any test case for validation. Fuzzing test inputs leads to random values and lacks practical usefulness. Our work addresses this problem: we propose an approach, Smartgift, which generates practical inputs for testing smart contracts by learning from the transaction records of real-world smart contracts. Leveraging a collected set of over 60 thousand transaction records, Smartgift is able to generate relevant test inputs for ~77% smart contract functions, largely outperforming the traditional fuzzing approach (successful for only 60% functions). We further demonstrate the practicality of the test inputs by using them to replace the test inputs of the ContractFuzzer state of the art smart contract vulnerability detector: with inputs by Smartgift, ContractFuzzer can now detect 131 of the 154 vulnerabilities in its benchmark.

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Binary semantic Similarity Comparison based on software gene

Binary semantic Similarity Comparison based on software gene

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2019 International Conference on Artificial Intelligence Technologies and Applications, ICAITA 2019

作者： Sun, Wenjie Chen, Yihang Shan, Zheng Liu, Fudong Wang, Qiuna State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Materials Branch of State Grid Henan Electric Power Company Zhengzhou China

The similarity of binary code is widely used in code copyright protection, vulnerability mining, malicious code analysis and etc. In this paper, we proposed a method for measuring/evaluating the similarity of two binary files based on software genes. Some of Natural language processing methods were introduced into program semantics analysis, including word2vec and doc2vec models to generate assembly instruction embeddings and gene semantic embeddings. Then the longest common subsequence method was applied to evaluate the software similarity. Experiments show that our method can effectively evaluate the similarity of binary files. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Genes

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An OFDM based interference reducing scheme with trajectory and resource optimization for UAV-powered IoT Networks

An OFDM based interference reducing scheme with trajectory a...

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General Assembly and Scientific Symposium, URSI

作者： Yuan Gao Jiang Cao Yang Guo Ping Wang Siming Yang Jing Wang Weidang Lu Peiyuan Si Ming Zhao Xiao Wu Academy of Military Science of the PLA China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan China College of Information Engineering Zhejiang University of Technology Hangzhou China Beijing National Research Center for Information Science and Technology (BNRist) Tsinghua University Beijing China

The massive and pervasive deployment of sensors for information collecting in IoT networks result to the scarcity of energy. Unmanned aerial vehicle (UAV) enabled wireless power transfer (WPT) is a feasible solution to provide energy for pervasively deployed sensors. In this paper, we propose an orthogonal frequency division multiplexing (OFDM) based interference reducing scheme with trajectory and resource optimization for UAV-powered IoT networks. The simulation results show that our proposed scheme outperforms two benchmark schemes in sum transmission rate.

关键词： OFDM Simulation Interference Wireless power transfer Benchmark testing Unmanned aerial vehicles Trajectory

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Asynchronous Functional Brain Network Construction with Spatiotemporal Transformer for MCI Classification

TechRxiv

引用

TechRxiv 2023年

作者： Tang, Xiang Zhang, Jianjia Wu, Xiaotong Zhou, Luping Wang, Lei Wu, Weiwen Shen, Dinggang The School of Biomedical Engineering Sun Yat-sen University China School of Electrical and Information Engineering University of Sydney Australia School of Computing and Information Technology University of Wollongong Australia The School of Biomedical Engineering State Key Laboratory of Advanced Medical Materials and Devices ShanghaiTech University Shanghai201210 China Shanghai United Imaging Intelligence Company Ltd. Shanghai200230 China Shanghai Clinical Research and Trial Center Shanghai201210 China

Construction and analysis of functional brain networks (FBNs) with rs-fMRI is a promising method to diagnose functional brain diseases. Nevertheless, the existing methods suffer from several limitations. First, the functional connectivities (FCs) of the FBN are usually measured by the temporal co-activation level between rs-fMRI time series from regions of interest (ROIs). While enjoying simplicity, the existing approach implicitly assumes simultaneous co-activation of all the ROIs, and models only their synchronous dependencies. However, the functional coactivation is not necessarily always synchronous due to the time lag of information flow and cross-time interactions between ROIs. Therefore, it is desirable to model the asynchronous functional interactions. Second, the traditional methods usually construct FBNs at individual level for feature extraction and classification, leading to large variability and degraded diagnosis accuracy when modeling asynchronous FBN. Third, the FBN construction and analysis are conducted in two independent steps without joint alignment for the target diagnosis task. To address the first limitation, this paper proposes an effective sliding-windowbased method to model spatiotemporal FCs in Transformer. Regarding the second limitation, we propose to learn common and individual FBNs adaptively with the common FBN as prior knowledge, thus alleviating the variability and enabling the network to focus on the individual diseasespecific asynchronous FCs. To address the third limitation, the common and individual asynchronous FBNs are built and analyzed by an integrated network, enabling end-to-end training and improving the flexibility and discriminativity. The effectiveness of the proposed method is consistently demonstrated on three data sets for MCI diagnosis. © 2023, CC BY-NC-SA.

关键词： Computer aided diagnosis

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High?Index?Faceted Ni_3S_2 Branch Arrays as Bifunctional Electrocatalysts for Efficient Water Splitting

引用

Nano-Micro Letters 2019年第1期11卷 205-216页

作者： Shengjue Deng Kaili Zhang Dong Xie Yan Zhang Yongqi Zhang Yadong Wang Jianbo Wu Xiuli Wang Hong Jin Fan Xinhui Xia Jiangping Tu State Key Laboratory of Silicon Materials Key Laboratory of Advanced Materials and Applications for Batteries of Zhejiang Province and Department of Materials Science and Engineering Zhejiang University Guangdong Engineering and Technology Research Center for Advanced Nanomaterials School of Environment and Civil Engineering Dongguan University of Technology School of Physical and Mathematical Sciences Nanyang Technological University School of Engineering Nanyang Polytechnic Zhejiang Provincial Key Laboratory for Cutting Tools Taizhou University

For efficient electrolysis of water for hydrogen generation or other valueadded chemicals, it is highly relevant to develop low-temperature synthesis of low-cost and high-e ciency metal sulfide electrocatalysts on a large scale. Herein, we construct a new core–branch array and binder-free electrode by growing Ni_3S_2 nanoflake branches on an atomic-layer-deposited(ALD) TiO_2 skeleton. Through induced growth on the ALD-TiO_2 backbone, cross-linked Ni_3S_2 nanoflake branches with exposed { 210} highindex facets are uniformly anchored to the preformed TiO_2 core forming an integrated electrocatalyst. Such a core–branch array structure possesses large active surface area, uniform porous structure, and rich active sites of the exposed { 210 } high-index facet in the Ni_3S_2 nanoflake. Accordingly, the TiO_2@Ni_3S_2 core/branch arrays exhibit remarkable electrocatalytic activities in an alkaline medium, with lower overpotentials for both oxygen evolution reaction(220 mV at 10 mA cm^(-2)) and hydrogen evolution reaction(112 m V at 10 mA cm^(-2)), which are better than those of other Ni_3S_2 counterparts. Stable overall water splitting based on this bifunctional electrolyzer is also demonstrated.

关键词： Nickel sulfide Core/branch arrays Porous film Bifunctional electrocatalysts Electrochemical water splitting Oxygen evolution reaction(OER) Hydrogen evolution reaction(HER)

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Semantic-based malware behavior description: Past and future 9

Semantic-based malware behavior description: Past and future

引用

9th International Conference on Communication and Network Security, ICCNS 2019

作者： Yang, Ping Shu, Hui Xiong, Xiaobing Kang, Fei State Key Laboratory of Mathematical Engineering Advanced University of Information and Engineering Zhengzhou450001 China

ISBN: (纸本)9781450376624

Traditional malware detection is faced with problems of low efficiency and high cost. In recent years, in order to improve the efficiency and accuracy of malware detection, a method based on semantic malware behavior description has been widely studied. In this paper, we firstly classified the current methods of semantic-based malware behavior description by their evolution and characteristics. Secondly, we performed a statistical analysis for the typical description in different aspects. Finally, through statistical analysis, we revealed the challenges faced by semantic-based malware behavior description and its future development prospects. © 2019 Association for computing Machinery.

关键词： Semantics

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