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Demodulation of Underwater Chirp Signal Based on Multi-Layer Perceptron

beijing Ligong Daxue Xuebao/Transaction of beijing institute of technology 2019年 39卷 77-80页

作者： Peng, Cong Wang, Zhe-Si Li, Shuai Wang, Ying Information and Communication Engineering Beijing University of Technology Beijing100124 China Beijing Institute of Computer and Applications Beijing100854 China

In this paper, a novel binary demodulation scheme of underwater acoustic based on multi-layer perceptron neural network is proposed. The signal source changes in the data are detected through the neural network to implement the signal demodulation. A symmetric Chirp encoding signal of underwater acoustic is proposed to improve the stability and multi-path effect during signal transmission underwater. Experimental simulations show that the multi-layer perceptron neural network demodulator has a lower bit error rate under the same noise. Besides, the trained MLP network also has better generalization and can better cope with remote control communication with low rate requirement within the underwater environment. © 2019, Editorial Department of Transaction of beijing institute of technology. All right reserved.

关键词： Demodulation

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Task-oriented word embedding for text classification 27

Task-oriented word embedding for text classification

引用

27th International Conference on Computational Linguistics, COLING 2018

作者： Liu, Qian Huang, Heyan Gao, Yang Wei, Xiaochi Tian, Yuxin Liu, Luyang Department of Computer Science Beijing Institute of Technology China Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications China Centre for Artificial Intelligence University of Technology Sydney Australia

ISBN: (纸本)9781948087506

Distributed word representation plays a pivotal role in various natural language processing tasks. In spite of its success, most existing methods only consider contextual information, which is suboptimal when used in various tasks due to a lack of task-specific features. The rational word embeddings should have the ability to capture both the semantic features and task-specific features of words. In this paper, we propose a task-oriented word embedding method and apply it to the text classification task. With the function-aware component, our method regularizes the distribution of words to enable the embedding space to have a clear classification boundary. We evaluate our method using five text classification datasets. The experiment results show that our method significantly outperforms the state-of-the-art methods. © 2018 COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings. All rights reserved.

关键词： Embeddings

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Quantum simulation for High-Energy Physics

引用

PRX Quantum 2023年第2期4卷 027001-027001页

作者： Christian W. Bauer Zohreh Davoudi A. Baha Balantekin Tanmoy Bhattacharya Marcela Carena Wibe A. de Jong Patrick Draper Aida El-Khadra Nate Gemelke Masanori Hanada Dmitri Kharzeev Henry Lamm Ying-Ying Li Junyu Liu Mikhail Lukin Yannick Meurice Christopher Monroe Benjamin Nachman Guido Pagano John Preskill Enrico Rinaldi Alessandro Roggero David I. Santiago Martin J. Savage Irfan Siddiqi George Siopsis David Van Zanten Nathan Wiebe Yukari Yamauchi Kübra Yeter-Aydeniz Silvia Zorzetti Physics Division Lawrence Berkeley National Laboratory Berkeley California 94720 USA Department of Physics Maryland Center for Fundamental Physics and the NSF Institute for Robust Quantum Simulation University of Maryland College Park Maryland 20742 USA Department of Physics University of Wisconsin Madison Wisconsin 53706 USA T-2 Los Alamos National Laboratory Los Alamos New Mexico 87545 USA Fermi National Accelerator Laboratory Batavia Illinois 60510 USA Enrico Fermi Institute University of Chicago Chicago Illinois 60637 USA Kavli Institute for Cosmological Physics University of Chicago Chicago Illinois 60637 USA Department of Physics University of Chicago Chicago Illinois 60637 USA Department of Physics and Illinois Center for the Advanced Study of the Universe and Illinois Quantum Information Science and Technology Center University of Illinois Urbana Illinois 61801 USA QuEra Computing Inc Boston Massachusetts 02135 USA Department of Mathematics University of Surrey Guildford Surrey GU2 7XH United Kingdom Center for Nuclear Theory Department of Physics and Astronomy Stony Brook University New York 11794-3800 USA Department of Physics Brookhaven National Laboratory Upton New York 11973 USA Peng Huanwu Center for Fundamental Theory Hefei Anhui 230026 China Interdisciplinary Center for Theoretical Study University of Science and Technology of China Hefei Anhui 230026 China Pritzker School of Molecular Engineering Chicago Quantum Exchange and Kadanoff Center for Theoretical Physics University of Chicago Illinois 60637 USA qBraid Co. Harper Court 5235 Chicago Illinois 60615 USA Department of Physics Harvard University Cambridge Massachusetts 02138 USA Department of Physics and Astronomy University of Iowa Iowa City Iowa 52242 USA Duke Quantum Center Duke University Durham North Carolina 27701 USA Department of Electrical and Computer Engineering Duke University Durham North Carolina 27708 USA Department of Physics Duke University

It is for the first time that quantum simulation for high-energy physics (HEP) is studied in the U.S. decadal particle-physics community planning, and in fact until recently, this was not considered a mainstream topic in the community. This fact speaks of a remarkable rate of growth of this subfield over the past few years, stimulated by the impressive advancements in quantum information sciences (QIS) and associated technologies over the past decade, and the significant investment in this area by the government and private sectors in the U.S. and other countries. High-energy physicists have quickly identified problems of importance to our understanding of nature at the most fundamental level, from tiniest distances to cosmological extents, that are intractable with classical computers but may benefit from quantum advantage. They have initiated, and continue to carry out, a vigorous program in theory, algorithm, and hardware co-design for simulations of relevance to the HEP mission. This Roadmap is an attempt to bring this exciting and yet challenging area of research to the spotlight, and to elaborate on what the promises, requirements, challenges, and potential solutions are over the next decade and beyond.

关键词： Quantum simulation

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Semantically Secure and Verifiable Multi-keyword Search in Cloud Computing 1

引用

2nd International Conference on Machine Learning for Cyber Security, ML4CS 2019

作者： Zhang, Lili Wang, Wenjie Zhang, Yuqing National Key Laboratory of Integrated Services Networks Xidian University Xi’an710071 China Henan International Joint Laboratory of Cyberspace Security Applications Information Engineering College Henan University of Science and Technology Luoyang471023 China National Computer Network Intrusion Protection Center University of Chinese Academy of Sciences Beijing100049 China State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing100093 China

ISBN: (数字)9783030306199

ISBN: (纸本)9783030306182

In cloud computing model, the data are usually encrypted before outsourced to the cloud server, which protects the data privacy, but also leaves keyword searches over ciphertext data a challenging problem. A keyword search scheme over encrypted data should achieve both index privacy and query privacy;moreover, verification of search results is desirable because the incorrectf results can be returned owing to system defects or the cloud server’s motivation to save computation recourses. Many multi-keyword search schemes have been proposed;however, few of these schemes are verifiable and adaptively index-hiding and adaptively query-hiding. In this paper, a semantically secure multi-keyword search scheme is constructed, which is adaptively index-hiding and adaptively query-hiding, also supports the correctness verification of search results. We provide a detailed performance comparison and give a thorough security proof by a sequence of games. The combined results demonstrate that our scheme is secure and practical. © 2019, Springer Nature Switzerland AG.

关键词： Cloud computing

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Analysis of three dimensional potential problems in non-homogeneous media with physics-informed deep collocation method using material transfer learning and sensitivity analysis

arXiv

引用

arXiv 2020年

作者： Guo, Hongwei Zhuang, Xiaoying Chen, Pengwan Alajlan, Naif Rabczuk, Timon Department of Geotechnical Engineering Tongji University 1239 Siping Road Shanghai200092 China Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education Tongji University 1239 Siping Road Shanghai200092 China Alisr Laboratory College of Computer and Information Sciences King Saud University P. O. Box 51178 Riyadh11543 Saudi Arabia Computational Science and Simulation Technology Institute of Photonics Leibniz Universität Hannover Appelstr. 11 Hannover30167 Germany State Key Laboratory of Explosion Science and Technology Beijing Institute of Technology No. 5 South Street Zhongguancun Haidian District Beijing100081 China

In this work, we present a deep collocation method (DCM) for three dimensional potential problems in non-homogeneous media. This approach utilizes a physics-informed neural network with material transfer learning reducing the solution of the non-homogeneous partial differential equations to an optimization problem. We tested different configurations of the physics-informed neural network including smooth activation functions, sampling methods for collocation points generation and combined optimizers. A material transfer learning technique is utilized for non-homogeneous media with different material gradations and parameters, which enhance the generality and robustness of the proposed method. In order to identify the most influential parameters of the network configuration, we carried out a global sensitivity analysis. Finally, we provide a convergence proof of our DCM. The approach is validated through several benchmark problems, also testing different material variations. Copyright © 2020, The Authors. All rights reserved.

关键词： Sensitivity analysis

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Online Virtual Experiment Teaching Platform for Database technology and Application

Online Virtual Experiment Teaching Platform for Database Tec...

引用

International Conference on computer Science & Education (ICCSE)

作者： Lin Li Yufeng Chen Zhongjun Li Dongni Li Fengxia Li Hua Huang Virtual Simulation Experimental Teaching Center of College Computer School of Computer Beijing Institute of Technology Beijing China

As the large-scale popularization of virtual experiment teaching, many universities and enterprises have built a batch of virtual experiment resources, which obtained preliminary application. To visualize the abstract concept of data relation and unobservable process of data storage, transmission and processing in the course of database technology and application, we designed and implemented a series of virtual experiment, including evolution of data storage, relational database design and SQL statement operation. The application results show that the virtual experiments are beneficial for both learning and teaching. Moreover, combined with online virtual experiment teaching platform, we complete the sharing and promotion of virtual experiment resources.

关键词： Education Memory Relational databases Database systems Computational modeling Solid modeling

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AlphaStock: A buying-winners-and-selling-losers investment strategy using interpretable deep reinforcement attention networks

arXiv

引用

arXiv 2019年

作者： Wang, Jingyuan Zhang, Yang Tang, Ke Wu, Junjie Xiong, Zhang MOE Engineering Research Center of Advanced Computer Application Technology School of Computer Science Engineering Beihang University Beijing China Institute of Economics School of Social Sciences Tsinghua University Beijing China Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operations School of Economics and Management Beihang University Beijing China Beijing Advanced Innovation Center for BDBC Beihang University Beijing China

Recent years have witnessed the successful marriage of finance innovations and AI techniques in various finance applications including quantitative trading (QT). Despite great research efforts devoted to leveraging deep learning (DL) methods for building better QT strategies, existing studies still face serious challenges especially from the side of finance, such as the balance of risk and return, the resistance to extreme loss, and the interpretability of strategies, which limit the application of DL-based strategies in real-life financial markets. In this work, we propose AlphaStock, a novel reinforcement learning (RL) based investment strategy enhanced by interpretable deep attention networks, to address the above challenges. Our main contributions are summarized as follows: i) We integrate deep attention networks with a Sharpe ratio-oriented reinforcement learning framework to achieve a risk-return balanced investment strategy;ii) We suggest modeling interrelationships among assets to avoid selection bias and develop a cross-asset attention mechanism;iii) To our best knowledge, this work is among the first to offer an interpretable investment strategy using deep reinforcement learning models. The experiments on long-periodic U.S. and Chinese markets demonstrate the effectiveness and robustness of AlphaStock over diverse market states. It turns out that AlphaStock tends to select the stocks as winners with high long-term growth, low volatility, high intrinsic value, and being undervalued recently. Copyright © 2019, The Authors. All rights reserved.

关键词： Strategic planning

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Monolithic integration of MoS2-based visible detectors and GaN-based UV detectors

引用

Photonics Research 2019年第10期7卷 1127-1133页

作者： YOU WU ZHIWEN LI KAH-WEE ANG YUPING JIA ZHIMING SHI ZHI HUANG WENJIE YU XIAOJUAN SUN XINKE LIU DABING LI State Key Laboratory of Luminescence and Applications Changchun Institute of OpticsFine Mechanics and PhysicsChinese Academy of SciencesChangchun 130033China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China Department of Electrical and Computer Engineering National University of SingaporeSingapore 117583Singapore Shenzhen Castle Security Technology Co. Ltd.Shenzhen 518000China State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghai 200050China

With the increasing demand for high integration and multi-color photodetection for both military and civilian applications, the research of multi-wavelength detectors has become a new research hotspot. However, current research has been mainly in visible dual-or multi-wavelength detectors, while integration of both visible light and ultraviolet(UV) dual-wavelength detectors has rarely been studied. In this work, large-scale and high-quality monolayer MoS2 was grown by the chemical vapor deposition method on transparent free-standing GaN substrate. Monolithic integration of MoS2-based visible detectors and GaN-based UV detectors was demonstrated using common semiconductor fabrication technologies such as photolithography, argon plasma etching, and metal deposition. High performance of a 280 nm and 405 nm dual-wavelength photodetector was *** responsivity of the UV detector reached 172.12 A/W, while that of the visible detector reached 17.5 A/***, both photodetectors achieved high photocurrent gain, high external quantum efficiency, high normalized detection rate, and low noise equivalent power. Our study extends the future application of dual-wavelength detectors for image sensing and optical communication.

关键词： visible integration ultraviolet

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Association of PM2.5 Reduction with Improved Kidney Function:A Nationwide Quasiexperiment among Chinese Adults

健康数据科学（英文）

引用

健康数据科学（英文） 2022年第3期 25-33页

作者： Yiqun Han Tao Xue Frank J.Kelly Yixuan Zheng Yao Yao Jiajianghui Li Jiwei Li Chun Fan Pengfei Li Tong Zhu Environmental Research Group MRC Centre for Environment and HealthImperial College LondonLondonUK BIC-ESAT and SKL-ESPC College of Environmental Sciences and EngineeringCenter for Environment and HealthPeking UniversityBeijing 100871China Institute of Reproductive and Child Health/Ministry of Health Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics School of Public HealthPeking UniversityBeijingChina Environmental Research Group MRC Centre for Environment and HealthImperial College LondonLondonUK Center of Air Quality Simulation and System Analysis Chinese Academy of Environmental Planning100012 BeijingChina China Center for Health Development Studies Peking UniversityBeijingChina College of Computer Science and Technology Zhejiang UniversityHangzhouChina Computer Center Peking University and Peng Cheng LaboratoryChina Advanced Institute of Information Technology Peking UniversityChina BIC-ESAT and SKL-ESPC College of Environmental Sciences and EngineeringCenter for Environment and HealthPeking UniversityBeijing 100871China

*** evidence from human studies has revealed the adverse impact of ambient fine particles(PM2.5)on health outcomes related to metabolic disorders and distant *** exposure to ambient PM2.5 leads to kidney impairment remains *** rapid air quality improvement driven by the clean air actions in China since 2013 provides an opportunity for a quasiexperiment to investigate the beneficial effect of PM2.5 reduction on kidney *** on two repeated nationwide surveys of the same population of 5115 adults in 2011 and 2015,we conducted a difference-in-difference *** in long-term exposure to ambient PM2.5 were associated with changes in kidney function biomarkers,including estimated glomerular filtration rate by serum creatinine(GFRscr)or cystatin C(GFRcys),blood urea nitrogen(BUN),and uric acid(UA).*** a 10μg/m3 reduction in PM2.5,a significant improvement was observed for multiple kidney functional biomarkers,including GFRscr,BUN and UA,with a change of 0.42(95％confidence interval[CI]:0.06,0.78)mL/min/1.73m2,-0.38(-0.64,-0.12)mg/dL,and-0.06(-0.12,-0.00)mg/dL,respectively.A lower socioeconomic status,indicated by rural residence or low educational level,enhanced the adverse effect of PM2.5 on kidney *** results support a significant nephrotoxicity of PM2.5 based on multiple serum biomarkers and indicate a beneficial effect of improved air quality on kidney function.

关键词： association chinese improved function kidney with adults among nationwide quasiexperiment

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Atomic structure of the continuous random network of amorphous C[(C6H4)2]2, PAF-1

arXiv

引用

arXiv 2021年

作者： Cai, Guanqun Lin, He Zhao, Ziqiang Liu, Jiaxun Phillips, Anthony E. Headen, Thomas F. Youngs, Tristan G.A. Hai, Yang Tian, Haolai He, Chunyong Ke, Yubin Tao, Juzhou Ben, Teng Dove, Martin T. College of Computer Science Sichuan University Sichuan Chengdu610065 China Department of Physics School of Sciences Wuhan University of Technology 205 Luoshi Road Hubei Hong-shan district Wuhan430070 China School of Mechanical Engineering Dongguan University of Technology Guangdong Dongguan523830 China School of Physical and Chemical Sciences Queen Mary University of London Mile End Road LondonE1 4NS United Kingdom Shanghai Synchrotron Radiation Facility Shanghai Advanced Research Institute Chinese Academy of Sciences 99 Haike Road Shanghai201210 China Institute of Molecules Plus Tianjin University Tianjin300072 China ISIS Neutron and Muon Facility Rutherford Appleton Laboratory Harwell Campus Oxfordshire DidcotOX11 0QX United Kingdom Spallation Neutron Source Science Center Guangdong Dongguan523803 China Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China University of Chinese Academy of Sciences Beijing100049 China Zhejiang Eng. Lab. for Green Syntheses and Applications of Fluorine-Containing Specialty Chemicals Institute of Advanced Fluorine-Containing Materials Zhejiang Normal University Jinhua321004 China Key Laboratory of the Ministry of Education for Advanced Catalysis Materials Institute of Physical Chemistry Zhejiang Normal University Jinhua321004 China

We demonstrate that the amorphous material PAF-1, C[(C6H4)2]2forms a continuous random network in which tetrahedral carbon sites are connected by 4,4'-biphenyl linkers. Experimental neutron total scattering measurements on deuterated, hydrogenous, and null-scattering samples agree with molecular dynamics simulations based on this model. From the MD model, we are able for the first time to interrogate the atomistic structure. The small-angle scattering is consistent with Porod scattering from particle surfaces, of the form Q-4, where Q is the scattering vector. There We measure a distinct peak in the scattering at Q = 0:45 Å-1, corresponding to the first sharp diffraction peak in amorphous silica, which indicates the structural analogy between these two amorphous tetrahedral networks. Copyright © 2021, The Authors. All rights reserved.

关键词： Molecular dynamics

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