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  • Motion trajectory prediction based on a CNN-LSTM sequential model
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-10-15
    Guo Xie, Anqi Shangguan, Rong Fei, Wenjiang Ji, Weigang Ma, Xinhong Hei

    Accurate monitoring the surrounding environment is an important research direction in the field of unmanned systems such as bio-robotics, and has attracted much research attention in recent years. The trajectories of surrounding vehicles should be predicted accurately in space and time to realize active defense and running safety of an unmanned system. However, there is uncertainty and uncontrollability

    更新日期:2020-10-17
  • Discriminative fine-grained network for vehicle re-identification using two-stage re-ranking
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-10-13
    Qi Wang, Weidong Min, Daojing He, Song Zou, Tiemei Huang, Yu Zhang, Ruikang Liu

    Research on the application of vehicle re-identification to video surveillance has attracted increasingly growing attention. Existing methods are associated with the difficulties of distinguishing different instances of the same car model owing to the incapability of recognizing subtle differences among these instances and the possibility that a subtle difference may lead to incorrect results of ranking

    更新日期:2020-10-17
  • Event-based optimization with random packet dropping
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-10-09
    Qing-Shan Jia, Jing-Xian Tang, Zhenning Lang

    Event-based optimization (EBO) provides a general framework for policy optimization in many discrete event dynamic systems where decision making is triggered by events that represent state transitions with common features. Because the number of events can be defined by the user and usually increases linearly with respect to the system scale, EBO has good potential to address large-scale problems where

    更新日期:2020-10-12
  • Boolean-network-based approach for construction of filter generators
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-10-09
    Bowen Li, Jianquan Lu

    In this paper, we view filter generators as Boolean networks (BNs), and discuss their power-analysis-based side-channel analysis. An incompletely specified binary sequence always contains some bits called unnecessary bits comprising 1 or 0. Our motivation for considering this type of sequence is to reduce direct dependencies between side-channel information and key sequences. An algorithm is proposed

    更新日期:2020-10-12
  • Variable-sampling-period dependent global stabilization of delayed memristive neural networks based on refined switching event-triggered control
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-10-09
    Zhilian Yan, Xia Huang, Jinde Cao

    This paper studies the stabilization problem of delayed memristive neural networks under event-triggered control. A refined switching event-trigger scheme that switches between variable sampling and continuous event-trigger can be designed by introducing an exponential decay term into the threshold function. Compared with the existing mechanisms, the proposed scheme can enlarge the interval between

    更新日期:2020-10-12
  • An evolutionary autoencoder for dynamic community detection
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-09-28
    Zhen Wang, Chunyu Wang, Chao Gao, Xuelong Li, Xianghua Li

    Dynamic community detection is significant for controlling and capturing the temporal features of networks. The evolutionary clustering framework provides a temporal smoothness constraint for simultaneously maximizing the clustering quality at the current time step and minimizing the clustering deviation between two successive time steps. Based on this framework, some existing methods, such as the

    更新日期:2020-10-07
  • Observer-based node-to-node consensus of multi-agent systems with intermittent networks
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-09-28
    Lingling Yao, Peijun Wang

    In this paper, we investigate the problem of achieving node-to-node consensus (NNC) in two-layer multiple-input-multiple-output (MIMO) multi-agent systems (MASs) with Lipschitz nonlinear dynamics and intermittent directed networks, where the cooperative goal is to make each follower to track a specified leader. By using the relative outputs, discontinuous observers are given to reconstruct the full

    更新日期:2020-10-07
  • Efficient stochastic successive cancellation list decoder for polar codes
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-09-21
    Xiao Liang, Huizheng Wang, Yifei Shen, Zaichen Zhang, Xiaohu You, Chuan Zhang

    Polar codes are one of the most favorable capacity-achieving codes owing to their simple structures and low decoding complexity. Successive cancellation list (SCL) decoders with large list sizes achieve performances very close to those of maximum-likelihood (ML) decoders. However, hardware cost is a severe problem because an SCL decoder with list size L consists of L copies of a successive cancellation

    更新日期:2020-10-02
  • Graph algorithms: parallelization and scalability
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-09-21
    Wenfei Fan, Kun He, Qian Li, Yue Wang

    For computations on large-scale graphs, one often resorts to parallel algorithms. However, parallel algorithms are difficult to write, debug and analyze. Worse still, it is difficult to make algorithms parallelly scalable, such that the more machines are used, the faster the algorithms run. Indeed, it is not yet known whether any PTIME computational problems admit parallelly scalable algorithms on

    更新日期:2020-10-02
  • Support vector machine based machine learning method for GS 8QAM constellation classification in seamless integrated fiber and visible light communication system
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-09-21
    Wenqing Niu, Yinaer Ha, Nan Chi

    Visible light communication (VLC) network over optical fiber has become a potential candidate in ultra-high speed indoor wireless communication. To mitigate signal distortion accumulated in optical fiber and VLC channel, we present to utilize support vector machine (SVM) for constellation classification in two kinds of geometrically-shaped 8QAM (quadrature amplitude modulation) seamless integrated

    更新日期:2020-10-02
  • Analysis of 3D localization in underwater optical wireless networks with uncertain anchor positions
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-09-18
    Nasir Saeed, Abdulkadir Celik, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri

    Localization accuracy is of paramount importance for the proper operation of underwater optical wireless sensor networks (UOWSNs). However, underwater localization is prone to hostile environmental impediments such as drifts owing to the surface and deep currents. These cause uncertainty in the deployed anchor node positions and pose daunting challenges to achieve accurate location estimations. Therefore

    更新日期:2020-09-30
  • Technological breakthroughs and scientific progress of the Chang’e-4 mission
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-09-18
    Weiren Wu, Dengyun Yu, Chi Wang, Jizhong Liu, Yuhua Tang, He Zhang, Zhe Zhang

    Chang’e-4 is the first man-made probe that accomplished landing and roving on the far side of the Moon, which is viewed as a new milestone in the history of Lunar exploration. Beginning with a brief introduction to the progress of domestic and foreign Lunar exploration, this paper reviews the implementation process of the Chang’e-4 project, sorts out the technical breakthroughs achieved, summarizes

    更新日期:2020-09-30
  • Dynamic network embedding via incremental skip-gram with negative sampling
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-09-18
    Hao Peng, Jianxin Li, Hao Yan, Qiran Gong, Senzhang Wang, Lin Liu, Lihong Wang, Xiang Ren

    Network representation learning, as an approach to learn low dimensional representations of vertices, has attracted considerable research attention recently. It has been proven extremely useful in many machine learning tasks over large graph. Most existing methods focus on learning the structural representations of vertices in a static network, but cannot guarantee an accurate and efficient embedding

    更新日期:2020-09-30
  • Theoretical and numerical analyses for PDM-IM signals using Stokes vector receivers
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-09-17
    Jiahao Huo, Xian Zhou, Chao Shang, Wei Huangfu, Jinhui Yuan, Huansheng Ning, Keping Long, Changyuan Yu, Alan Pak Tao Lau, Chao Lu

    Different from current coherent-detection-based long-haul transmission systems, inter- and intradatacenter transmissions require a simpler transmitter and receiver. A promising way to significantly meet the demands of datacenter transmission is polarization division multiplexing intensity modulation with direct detection (PDM-IM-DD) using a Stokes vector receiver (SVR). However, for different SVR architectures

    更新日期:2020-09-25
  • Integrated multi-scheme digital modulations of spoof surface plasmon polaritons
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-09-16
    Lepeng Zhang, Haochi Zhang, Min Tang, Peihang He, Lingyun Niu, Liangliang Liu, Jiayuan Lu, Wenxuan Tang, Junfa Mao, Tiejun Cui

    The future wireless communications require different kinds of modulation functions to be integrated in a single intelligent device under different scenarios. Here, we propose a multi-scheme digital modulator to achieve this goal based on integrated spoof surface plasmon polaritons (SPP) in different frequency bands. By constructing switchable spoof SPP units, the propagating wave in the proposed spoof

    更新日期:2020-09-25
  • MashReDroid: enabling end-user creation of Android mashups based on record and replay
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-09-16
    Jiahuan Zheng, Liwei Shen, Xin Peng, Hongchi Zeng, Wenyun Zhao

    To allow end users to combine different apps for accomplishing various goals, it is desired that they can create mashups of mobile apps in an on-demand fashion. The end user creation of mobile mashups, however, is complicated by the fact that many apps do not expose interfaces for mashup and the lack of user friendly interfaces for end user programming. In this paper, we propose MashReDroid, an end

    更新日期:2020-09-25
  • Synthesis-free directional modulation for retrodirective frequency diverse array
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-09-16
    Sheng Ke, Jianping An, Shuai Wang

    Combination of directional modulation (DM) and frequency diverse array (FDA) provides a novel opportunity for enabling physical layer security because of the enhanced ability of distance resolution. However, in the existing studies, the time-varying nature of the FDA pattern is usually ignored. In this paper, a modified model of FDA-DM is proposed, in which the ignored time factor in the previous studies

    更新日期:2020-09-25
  • Hierarchical LSTM with char-subword-word tree-structure representation for Chinese named entity recognition
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-09-16
    Chen Gong, Zhenghua Li, Qingrong Xia, Wenliang Chen, Min Zhang

    Chinese named entity recognition (CNER) aims to identify entity names such as person names and organization names from Chinese raw text and thus can quickly extract the entity information that people are concerned about from large-scale texts. Recent studies attempt to improve performance by integrating lexicon words into char-based CNER models. These existing studies, however, usually focus on leveraging

    更新日期:2020-09-25
  • Reconfigurable vertical field-effect transistor based on graphene/MoTe 2 /graphite heterostructure
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-09-03
    Cong Wang, Chen Pan, Shi-Jun Liang, Bin Cheng, Feng Miao

    Reconfigurable field-effect transistors have attracted enormous attention over the past decades because of their potential in implementing logic and analog circuit functions with fewer resources of transistors compared with complementary metal-oxide-semiconductor transistors. However, the miniaturization of traditional reconfigurable transistors is still a challenge owing to their inherent planar multi-gate

    更新日期:2020-09-07
  • A new optimization algorithm applied in electromagnetics — Maxwell’s equations derived optimization (MEDO)
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-08-26
    Donglin Su, Lilin Li, Shunchuan Yang, Bing Li, Guangzhi Chen, Hui Xu

    In this paper, a novel global optimization algorithm, named as Maxwell’s equations derived optimization (MEDO), is proposed. Using the Maxwell’s equations to analyse the behaviors of the time-varying current, the Ampere force is obtained from Fleming’s left hand rule. MEDO introduces an ‘Ampere force’ term, which is derived from Maxwell’s equations and is rigorous in physics, to drive the variables

    更新日期:2020-08-29
  • Efficient 16 Boolean logic and arithmetic based on bipolar oxide memristors
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-08-26
    Rui Yuan, Mingyuan Ma, Liying Xu, Zhenhua Zhu, Qingxi Duan, Teng Zhang, Yu Zhu, Yu Wang, Ru Huang, Yuchao Yang

    The physically separated memory and logic units in traditional von Neumann computers place essential limits on the performance and cause increased energy consumption, and hence in-memory computing is required to overcome this bottleneck. Here, a new bipolar memristor based in-memory logic approach is proposed, which is capable of achieving all 16 possible Boolean logic functions in a single device

    更新日期:2020-08-29
  • Measuring quality of experience for 360-degree videos in virtual reality
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-08-19
    Muhammad Shahid Anwar, Jing Wang, Asad Ullah, Wahab Khan, Sadique Ahmad, Zesong Fei

    In recent years, we witness dramatic growing attention in immersive media technologies like 360-degree videos and virtual reality (VR). However, measuring the quality-of-experience (QoE) for 360-degree VR videos is not a trivial task. Streaming such videos to head mounted displays (HMDs) is extremely bandwidth-demanding when compared to traditional 2D videos. In HTTP adaptive streaming, QoE tends to

    更新日期:2020-08-22
  • Robust adaptive control of hypersonic flight vehicle with asymmetric AOA constraint
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-08-18
    Yuyan Guo, Bin Xu, Weixin Han, Shuai Li, Yueping Wang, Yu Zhang

    This paper investigates the state-constrained controller design of a hypersonic flight vehicle (HFV) based on an asymmetric barrier Lyapunov function (ABLF). The robust adaptive back-stepping controller with integral terms is applied for the HFV longitudinal dynamics. Considering the asymmetric angle of attack (AOA) constraint caused by the unique structure and scramjet, the controller is modified

    更新日期:2020-08-22
  • A probabilistic risk assessment framework considering lane-changing behavior interaction
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-08-17
    Heye Huang, Jianqiang Wang, Cong Fei, Xunjia Zheng, Yibin Yang, Jinxin Liu, Xiangbin Wu, Qing Xu

    Understanding the dynamic characteristics of surrounding vehicles and estimating the potential risk of mixed traffic can help reliable autonomous driving. However, the existing risk assessment methods are challenging to detect dangerous situations in advance and tackle the uncertainty of mixed traffic. In this paper, we propose a probabilistic driving risk assessment framework based on intention identification

    更新日期:2020-08-20
  • LSTM-based argument recommendation for non-API methods
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-08-14
    Guangjie Li, Hui Liu, Ge Li, Sijie Shen, Hanlin Tang

    Automatic code completion is one of the most useful features provided by advanced IDEs. Argument recommendation, as a special kind of code completion, is widely used as well. While existing approaches focus on argument recommendation for popular APIs, a large number of non-API invocations are requesting for accurate argument recommendation as well. To this end, we propose an LSTM-based approach to

    更新日期:2020-08-19
  • Investigating the dynamic memory effect of human drivers via ON-LSTM
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-08-13
    Shengzhe Dai, Zhiheng Li, Li Li, Dongpu Cao, Xingyuan Dai, Yilun Lin

    It is a widely accepted view that considering the memory effects of historical information (driving operations) is beneficial for vehicle trajectory prediction models to improve prediction accuracy. However, many commonly used models (e.g., long short-term memory, LSTM) can only implicitly simulate memory effects, but lack effective mechanisms to capture memory effects from sequence data and estimate

    更新日期:2020-08-19
  • Quantum algorithms of state estimators in classical control systems
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-08-13
    Kai Li, Hongyi Dai, Ming Zhang

    In this paper, quantum algorithms are applied to the design of state estimators in classical control systems under the condition that quantum algorithms can be physically implemented. We demonstrate that the design of state estimators can be solved by quantum algorithms, which may achieve significant acceleration in comparison to traditional classical algorithms. The time complexity can be reduced

    更新日期:2020-08-19
  • An analysis of correctness for API recommendation: are the unmatched results useless?
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-08-13
    Xianglong Kong, Weina Han, Li Liao, Bixin Li

    API recommendation is a promising approach which is widely used during software development. However, the evaluation of API recommendation is not explored with sufficient rigor. The current evaluation of API recommendation mainly focuses on correctness, the measurement is conducted by matching recommended results with ground-truth results. In most cases, there is only one set of ground-truth APIs for

    更新日期:2020-08-19
  • Data-driven optimal cooperative adaptive cruise control of heterogeneous vehicle platoons with unknown dynamics
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-08-12
    Xiulan Song, Feng Ding, Feng Xiao, Defeng He

    This paper considers the cooperative adaptive cruise control (CACC) problem of heterogeneous vehicle platoons and proposes a data-driven optimal CACC approach for the heterogeneous platoon with unknown dynamics. To cope with the unknown dynamics of the vehicle CACC platoon system, the adaptive dynamic programming is used to design an online iteration policy for optimal CACC of the platoon. Using the

    更新日期:2020-08-19
  • Driver-automation shared steering control for highly automated vehicles
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-08-12
    Jun Liu, Hongyan Guo, Linhuan Song, Qikun Dai, Hong Chen

    A model predictive control (MPC)-based shared steering framework for intelligent vehicles is proposed in this paper. The road boundary and vehicle stability boundary are regarded as the safe envelope, and the tradeoff between the freedom of driver operation and safety assurance of intelligent vehicles is made within this safe envelope. Under this cooperative steering framework, the reliability of drivers

    更新日期:2020-08-19
  • Quality assessment of crowdsourced test cases
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-08-10
    Yuan Zhao, Yang Feng, Yi Wang, Rui Hao, Chunrong Fang, Zhenyu Chen

    Various software-engineering problems have been solved by crowdsourcing. In many projects, the software outsourcing process is streamlined on cloud-based platforms. Among software engineering tasks, test-case development is particularly suitable for crowdsourcing, because a large number of test cases can be generated at little monetary cost. However, the numerous test cases harvested from crowdsourcing

    更新日期:2020-08-19
  • Rényi divergence on learning with errors
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-08-10
    Yang Tao, Han Wang, Rui Zhang

    Many lattice-based schemes are built from the hardness of the learning with errors problem, which naturally comes in two flavors: the decision LWE and search LWE. In this paper, we investigate the decision LWE and search LWE by Rényi divergence respectively and obtain the following results: For decision LWE, we apply RD on LWE variants with different error distributions (i.e., center binomial distribution

    更新日期:2020-08-17
  • InStereo2K: a large real dataset for stereo matching in indoor scenes
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-07-31
    Wei Bao, Wei Wang, Yuhua Xu, Yulan Guo, Siyu Hong, Xiaohu Zhang

    Deep neural networks have shown great success in stereo matching in recent years. On the KITTI datasets, most top performing methods are based on neural networks. However, on the Middlebury datasets, these methods usually do not perform well. The KITTI datasets are collected in outdoor scenes while the Middlebury datasets are collected in indoor scenes. It is commonly believed that the community still

    更新日期:2020-08-12
  • Future vehicles: learnable wheeled robots
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-07-30
    Deyi Li, Nan Ma, Yue Gao

    As one of the important signs of the third wave of artificial intelligence, wheeled robots not only inherit knowledge but also learn independently, which brings about to learnable wheeled robots that use a driving brain to achieve data-driven control and learning. Presently, most existing technologies for self-driving vehicles can learn positively from the benchmark drivers to guarantee safe driving

    更新日期:2020-08-06
  • A partial information linear-quadratic optimal control problem of backward stochastic differential equation with its applications
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-07-28
    Pengyan Huang, Guangchen Wang, Huanjun Zhang

    In this paper, we investigate a kind of partial information linear-quadratic optimal control problem driven by a backward stochastic differential equation, where the state equation and the cost functional contain diffusion terms. Using maximum principle, we derive the corresponding Hamiltonian system, which is a conditional mean-field forward-backward stochastic differential equation. By the backward

    更新日期:2020-07-31
  • Hybrid beamforming design for mmWave OFDM distributed antenna systems
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-07-28
    Yu Zhang, Dongming Wang, Yiming Huo, Xiaodai Dong, Xiaohu You

    This paper presents a hybrid beamforming design for millimeter-wave (mmWave) orthogonal frequency division multiplexing (OFDM) distributed antenna systems (DASs). First, we derive a downlink signal transmission model that considers the delay spread differences (DSDs) caused by the distributed nature of the network. We then propose a cooperative wideband hybrid beamforming method under the transmitting

    更新日期:2020-07-31
  • Learning impedance control of robots with enhanced transient and steady-state control performances
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-07-24
    Tairen Sun, Long Cheng, Liang Peng, Zengguang Hou, Yongping Pan

    This study proposes a learning impedance controller comprising a proportional feedback control term, a composite-learning-based uncertainty estimation term, and a robot-environment interaction control term. The impedance control problem is converted into a particular reference-trajectory tracking problem based on a generated reference trajectory. The proposed controller ensures the exponential convergence

    更新日期:2020-07-29
  • A parameter formula connecting PID and ADRC
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-07-24
    Sheng Zhong, Yi Huang, Lei Guo

    This paper presents a parameter formula connecting the well-known proportional-integral-derivative (PID) control and the active disturbance rejection control (ADRC). On the one hand, this formula gives a quantitative lower bound to the bandwidth of the extended state observer (ESO) used in ADRC, implying that the ESO is not necessarily of high gain. On the other hand, enlightened by the design of ADRC

    更新日期:2020-07-29
  • Controlling the depth of a gliding robotic dolphin using dual motion control modes
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-07-24
    Jian Wang, Zhengxing Wu, Min Tan, Junzhi Yu

    This paper investigates the performance of the dual mode, namely flipper mode and central pattern generator (CPG) mode, for controlling the depth of a gliding robotic dolphin. Subsequent to considering the errors in dynamic models, we propose a depth control system that combines the line-of-sight (LOS) method with an adaptive control approach (ACA) to deal with uncertainties in the model parameters

    更新日期:2020-07-29
  • Graphene-based vertical thin film transistors
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-07-16
    Liting Liu, Yuan Liu, Xiangfeng Duan

    Vertical field effect transistors (VFETs), where the channel material is sandwiched between source-drain electrodes and the channel length is simply determined by its body thickness, have attracted considerable interest for high performance electronics owning to their intrinsic short channel length. To enable the effective gate modulation and current switching behavior, the electrode of conventional

    更新日期:2020-07-18
  • Multitask deep learning-based multiuser hybrid beamforming for mm-wave orthogonal frequency division multiple access systems
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-07-15
    Jing Jiang, Yue Li, Long Chen, Jianbo Du, Chunguo Li

    Multiuser hybrid beamforming of a wideband millimeter-wave (mm-wave) system is a complex combinatorial optimization problem. It not only needs large training data, but also tends to overfit and incur long run-time when multiple serial deep learning network models are used to solve this problem directly. Preferably, multitask deep learning (MTDL) model could jointly learn multiple related tasks and

    更新日期:2020-07-18
  • In-building coverage of millimeter-wave wireless networks from channel measurement and modeling perspectives
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-07-15
    Peize Zhang, Cheng Yi, Bensheng Yang, Cheng-Xiang Wang, Haiming Wang, Xiaohu You

    To progress cost-effective deployment of millimeter-wave (mmWave) wireless networks for indoor users, the prediction of indoor-to-indoor (I2I) and outdoor-to-indoor (O2I) coverage based on field measurement studies is of great interest to the future generation mobile communication system. First, measurements in I2I and O2I scenarios, which have advantages in terms of achieving a fair comparison of

    更新日期:2020-07-18
  • Experimental observation of coherent interaction between laser and erbium ions ensemble doped in fiber at sub 10 mK
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-07-15
    Qi Xi, Shihai Wei, Chenzhi Yuan, Xueying Zhang, You Wang, Haizhi Song, Guangwei Deng, Bo Jing, Daniel Oblak, Qiang Zhou

    Rare-earth ions doped in solid-state materials are considered promising candidates for quantum information applications, especially for photonic quantum memory. Among them, erbium ions doped in an optical fiber have attracted a lot of attentions due to their ability to provide efficient photon-atom interaction on a telecom-C band compatible transition. The coherent photon-atom interaction, which is

    更新日期:2020-07-18
  • Superconducting quantum computing: a review
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-07-15
    He-Liang Huang, Dachao Wu, Daojin Fan, Xiaobo Zhu

    Over the last two decades, tremendous advances have been made for constructing large-scale quantum computers. In particular, quantum computing platforms based on superconducting qubits have become the leading candidate for scalable quantum processor architecture, and the milestone of demonstrating quantum supremacy has been first achieved using 53 superconducting qubits in 2019. In this study, we provide

    更新日期:2020-07-18
  • Superconducting X-ray detectors
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-07-15
    Can Yang, Mengting Si, Lixing You

    Owing to their high sensitivity and low noise, superconducting detectors are used for photon detection from microwave to high-energy particles. X-ray detection plays an important role in materials analysis, astronomy, and medical radiography, which require high efficiency as well as high energy resolution. However, traditional semiconducting detectors cannot fulfill these requirements. In this article

    更新日期:2020-07-18
  • Topic-sensitive neural headline generation
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-07-15
    Ayana, Ziyun Wang, Lei Xu, Zhiyuan Liu, Maosong Sun

    Neural models are being widely applied for text summarization, including headline generation, and are typically trained using a set of document-headline pairs. In a large document set, documents can usually be grouped into various topics, and documents within a certain topic may exhibit specific summarization patterns. Most existing neural models, however, have not taken the topic information of documents

    更新日期:2020-07-18
  • A universal simulating framework for quantum key distribution systems
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-07-15
    Guan-Jie Fan-Yuan, Wei Chen, Feng-Yu Lu, Zhen-Qiang Yin, Shuang Wang, Guang-Can Guo, Zheng-Fu Han

    Quantum key distribution (QKD) provides a physical-based way to conciliate keys between remote users securely. Simulation is an essential method for designing and optimizing QKD systems. We develop a universal simulation framework based on quantum operator descriptions of photon signals and optical devices. The optical devices can be freely combined and driven by the photon excitation events, which

    更新日期:2020-07-18
  • Machine-learning-based high-resolution DOA measurement and robust directional modulation for hybrid analog-digital massive MIMO transceiver
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-07-15
    Zhihong Zhuang, Ling Xu, Jiayu Li, Jinsong Hu, Linlin Sun, Feng Shu, Jiangzhou Wang

    At hybrid analog-digital (HAD) transceiver, an improved HAD estimation of signal parameters via rotational invariance techniques (ESPRIT), called I-HAD-ESPRIT, is proposed to measure the direction of arrival (DOA) of a desired user, where the phase ambiguity due to HAD structure is dealt with successfully. Subsequently, a machine-learning (ML) framework is proposed to improve the precision of measuring

    更新日期:2020-07-18
  • Optimal car-following control for intelligent vehicles using online road-slope approximation method
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-07-15
    Hongqing Chu, Lulu Guo, Hong Chen, Bingzhao Gao

    The design of a car-following control system is a multiobjective optimization problem that involves issues in rider safety, ride comfort, and fuel economy. This study proposes a hierarchical design of optimal car-following control where the system is intuitively split into two subsystems with different dynamic properties. Specifically, the high-level subsystem is a linear car-following system with

    更新日期:2020-07-17
  • Collaborative deep learning across multiple data centers
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-07-14
    Haibo Mi, Kele Xu, Dawei Feng, Huaimin Wang, Yiming Zhang, Zibin Zheng, Chuan Chen, Xu Lan

    Valuable training data is often owned by independent organizations and located in multiple data centers. Most deep learning approaches require to centralize the multi-datacenter data for performance purpose. In practice, however, it is often infeasible to transfer all data of different organizations to a centralized data center owing to the constraints of privacy regulations. It is very challenging

    更新日期:2020-07-16
  • Quantum network based on non-classical light
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-07-09
    Xiaolong Su, Meihong Wang, Zhihui Yan, Xiaojun Jia, Changde Xie, Kunchi Peng

    Quantum network enables quantum communication among quantum nodes and provides advantages that are unavailable in any classical network. Based on rapidly developing science and technology in quantum communication, the studies on quantum network have also made important progresses recent years. In this study, we briefly review the experimental progresses in building quantum network based on optical

    更新日期:2020-07-13
  • Important sampling based active learning for imbalance classification
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-07-07
    Xinyue Wang, Bo Liu, Siyu Cao, Liping Jing, Jian Yu

    Imbalance in data distribution hinders the learning performance of classifiers. To solve this problem, a popular type of methods is based on sampling (including oversampling for minority class and undersampling for majority class) so that the imbalanced data becomes relatively balanced data. However, they usually focus on one sampling technique, oversampling or undersampling. Such strategy makes the

    更新日期:2020-07-13
  • Improved lattice-based CCA2-secure PKE in the standard model
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-07-07
    Jiang Zhang, Yu Yu, Shuqin Fan, Zhenfeng Zhang

    Based on the identity-based encryption (IBE) from lattices by Agrawal et al. (Eurocrypt’10), Micciancio and Peikert (Eurocrypt’12) presented a CCA1-secure public-key encryption (PKE), which has the best known efficiency in the standard model and can be used to obtain a CCA2-secure PKE from lattices by using the generic BCHK transform (SIAM J Comput, 2006) with a cost of introducing extra overheads

    更新日期:2020-07-13
  • Active switching multiple model method for tracking a noncooperative gliding flight vehicle
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-07-02
    Tianyu Zheng, Yu Yao, Fenghua He, Denggao Ji, Xinran Zhang

    The study investigates the trajectory estimation problem of a noncooperative gliding flight vehicle with complex and atypical maneuvers. An active switching multiple model (ASMM) method is proposed. This method employs a motion behavior model set (MBMS), a motion behavior recognition algorithm, and an active switching estimation and fusion algorithm. First, a recognizable MBMS, which can capture all

    更新日期:2020-07-08
  • Kerr frequency comb with varying FSR spacing based on Si 3 N 4 micro-resonator
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-06-28
    Yuedi Ding, Yu Gao, Cheng Zeng, Shanlin Zhu, Qingzhong Huang, Yi Wang, Ying Huang, Jinsong Xia

    In this paper, we experimentally investigate a novel feedback loop scheme to generate optical frequency comb with varying free spectral range (FSR) spacing in a high-Q silicon nitride (Si3N4) micro-ring resonator. By selecting and amplifying different feedback sidebands, comb line spacing varying from 1-fold to 6-fold FSRs is successfully achieved. This approach could be beneficial to tune the comb

    更新日期:2020-07-03
  • Finite-time control for a class of hybrid systems via quantized intermittent control
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-06-19
    Xiaolin Xiong, Xinsong Yang, Jinde Cao, Rongqiang Tang

    This paper considers the finite-time drive-response synchronization of stochastic nonlinear systems consisting of continuous-time and discrete-time subsystems. To save communication resources and reduce control cost, quantized controllers, which only work on continuous-time intervals, are designed. Owing to the hybrid characteristics of continuous- and discrete-time subsystems, existing finite-time

    更新日期:2020-06-25
  • Observer-based multi-objective parametric design for spacecraft with super flexible netted antennas
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-06-10
    Guang-Ren Duan, Tian-Yi Zhao

    A multi-objective parametric design method that based on the robust observer is proposed for the attitude control of satellites with super flexible netted antennas. First, a parametric observer-based controller is obtained based on the eigen-structure assignment theory. The closed-loop poles are assigned to desired positions or regions, and full degrees of freedom of the design, which are characterized

    更新日期:2020-06-10
  • Research trend of large-scale supercomputers and applications from the TOP500 and Gordon Bell Prize
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-06-08
    Weimin Zheng

    China is playing an increasingly important role in international supercomputing. In high-performance computing domain, there are two famous awards: The TOP500 list for the fastest 500 supercomputers in the world and the Gordon Bell Prize for the best HPC (high-performance computing) applications. China has been awarded in both TOP500 list and Gordon Bell Prize. In this paper, we review the supercomputers

    更新日期:2020-06-08
  • Unifying logic rules and machine learning for entity enhancing
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-06-08
    Wenfei Fan, Ping Lu, Chao Tian

    This paper proposes a notion of entity enhancing, which unifies entity resolution and conflict resolution, to identify tuples that refer to the same real-world entity and at the same time, correct semantic inconsistencies. We propose to unify rule-based and machine learning (ML) methods for entity enhancing, by embedding ML classifiers as predicates in logic rules. We model entity enhancing by extending

    更新日期:2020-06-08
  • From model to implementation: a network algorithm programming language
    Sci. China Inf. Sci. (IF 3.304) Pub Date : 2020-06-01
    Jian Wang, Jie An, Mingshuai Chen, Naijun Zhan, Lulin Wang, Miaomiao Zhang, Ting Gan

    Software-defined networking (SDN) is a revolutionary technology that facilitates network management and enables programmatically efficient network configuration, thereby improving network performance and flexibility. However, as the application programming interfaces (APIs) of SDN are low-level or functionality-restricted, SDN programmers cannot easily keep pace with the ever-changing devices, topologies

    更新日期:2020-06-01
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