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A model reduction approach for discrete-time linear time-variant systems with delayed inputs Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-03-08 Ai-Guo Wu, Guang-Ren Duan, Yu Wang, Jie Zhang
A model reduction approach is presented for discrete-time linear time-variant input-delayed systems. According to this proposed approach, a dynamical variable is constructed by taking advantage of the current state and historical information of input. It is revealed that the behavior of this dynamical variable is governed by a discrete-time linear delay-free system. It is worth noting that the presented
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Optimizing evasive maneuvering of planes using a flight quality driven model Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-02-26 Chang Liu, Shaoshan Sun, Chenggang Tao, Yingxin Shou, Bin Xu
This paper investigates the optimal evasive maneuver for a plane to avoid an incoming missile. To accurately model the system dynamics while improving computational efficiency, a simplified plane model based on flight quality is established. A missile model with proportional guidance is also formulated. The problem of determining the optimal evasion plane maneuver is formulated. The Gauss pseudospectral
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Multi-sensor multispectral reconstruction framework based on projection and reconstruction Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-02-26 Tianshuai Li, Tianzhu Liu, Xian Li, Yanfeng Gu, Yukun Wang, Yushi Chen
The scarcity and low spatial resolution of hyperspectral images (HSIs) have become a major problem limiting the application of the images. In recent years, spectral reconstruction (SR) has been applied to convert multispectral images (MSIs) with abundant quantities and high spatial resolution into HSIs. With the launch of several new multispectral (MS) satellites with a short repeat period, the simultaneous
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Event-triggered sliding mode control of linear repetitive processes and its application in metal rolling process Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-02-26 Xinyu Lv, Yugang Niu, James Lam
This paper investigates the design problem of a sliding mode controller for linear repetitive processes (LRPs) with a finite pass length on each pass. Under limited communication resources, an event-triggered mechanism is implemented from the sensors to the controller, whose triggered sequence is consistent with the evolution direction of LRPs. To periodically orchestrate communication between the
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Output feedback stabilization of stochastic high-order planar nonlinear systems with stochastic inverse dynamics and output-constraint Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-02-22 Ruiming Xie, Shengyuan Xu
In this paper, we solve the output feedback control problem of stochastic high-order planar nonlinear systems with output constraint and stochastic integral input-to-state stability (SiISS) inverse dynamics. By employing a key coordinate transformation, a stochastic nonlinear system with output constraint and SiISS inverse dynamics is converted into an unconstrained system. By skillfully constructing
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Distinct but correct: generating diversified and entity-revised medical response Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-02-21 Bin Li, Bin Sun, Shutao Li, Encheng Chen, Hongru Liu, Yixuan Weng, Yongping Bai, Meiling Hu
Medical dialogue generation (MDG) is applied for building medical dialogue systems for intelligent consultation. Such systems can communicate with patients in real time, thereby improving the efficiency of clinical diagnosis. However, predicting correct entities and correctly generating distinct responses remain a great challenge. Inspired by actual doctors’ responses to patients, we consider MDG a
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A FAS approach for stabilization of generalized chained forms: part 2. Continuous control laws Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-02-21 Guang-Ren Duan
In this paper, continuous time-varying stabilizing controllers for the type of general nonholonomic systems proposed and treated in part 1 are designed using the fully actuated system (FAS) approach. The key step is to differentiate the first scalar equation, and by control of the obtained second-order scalar system, a proportional plus integral feedback form for the first control variable is obtained
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Gate regulated near-infrared photodetector utilizing interlayer excitons for MoS2/CrPS4 heterojunction Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-02-19 Guoliang Xu, Chao He, Donghong Shi, Danmin Liu, Wenjie Deng, Jingzhen Li, Xingtao An, Yongzhe Zhang
We have demonstrated a highly efficient visible-NIR photodetector based on the interlayer optical transition. Indirect interlayer transitions can occur proved by DFT calculations. In particular, the exciton current is tuned by an external gate field and the cutoff wavelength is increased to 1500 nm. Remarkably, there is a peak of about 2.75 nA at Vg = 5 V around 1075 nm wavelength. Finally, this study
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Experimental realization of deterministic joint remote preparation of an arbitrary two-qubit pure state via GHZ states Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-02-19 Nachuan Li, Lu Xu, Jin-Ming Liu
By employing two tripartite GHZ states as the entanglement channel, we realized the deterministic JRSP protocol of six unique initial two-qubit states on the Origin Wuyuan 6-qubit chip, with the measured average fidelities exceeding 0.4. Moreover, we employ the Origin NQVM to simulate the JRSP protocol in the presence of four noise environments. To enhance fidelity, we proposed substituting the two
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Constrained reinforcement learning with statewise projection: a control barrier function approach Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-02-19 Xinze Jin, Kuo Li, Qingshan Jia
Safety is a critical issue for reinforcement learning (RL), as it may be risky for some actual applications if the learning process involves unsafe exploration. Instead of formulating constraints as expectation-based in constrained RL, considering statewise safety in constrained RL is more meaningful. This work aims to address the issue of safe projection in RL by introducing a control barrier function
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Wearable ultrasensitive and rapid human physiological monitoring based on microfiber Sagnac interferometer Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-02-19 Xin Wang, Hongyou Zhou, Meihua Chen, Yongcheng He, Zhishen Zhang, Jiulin Gan, Zhongmin Yang
High-sensitive and fast-responding flexible strain sensors are essential for the smart wearable devices that precisely and dynamically perceive the weak deformations induced by human physiological signals. Here, a flexible strain sensor via polydimethylsiloxane (PDMS)-encapsulated microfiber Sagnac interferometer was designed and prepared for monitoring the human pulse signals and sound vibrations
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High-performance broadband photodetector based on PtSe2/MoS2 heterojunction from visible to near-infrared region Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-02-19 Bin Wang, Jian Yuan, Mengqi Che, Mingxiu Liu, Yuting Zou, Junru An, Fan Tan, Yaru Shi, Nan Zhang, Liujian Qi, Shaojuan Li
Broadband photodetectors based on narrow bandgap 2D materials have garnered considerable interest for application in the field of optoelectronic devices. However, their large dark current hinders device performance. In this work, a PtSe2/MoS2 heterojunction was fabricated for a broadband photodetector operating within the range of visible to near-infrared. The device exhibited suppressed dark currents
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A deep learning model enabled multi-event recognition for distributed optical fiber sensing Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-02-19 Yujiao Li, Xiaomin Cao, Wenhao Ni, Kuanglu Yu
Fiber optic sensors that utilize backscattered light offer distributed real-time measurements and have been seen tremendous improvements in sensing distance and spatial resolution over the last decades. However, these improvements in sensor capabilities lead to a significant increase in the amount of data that needs to be processed. Traditional processing schemes are no longer adequate, so the development
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Recent progress in single crystal perovskite X-ray detectors Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-02-19
Abstract Perovskites have attracted extensive attention as radiation detection material due to their long carrier diffusion length and lifetime, high absorption coefficient, and flexible manufacturing process. Compared with polycrystalline structures, single crystal perovskites improve the performance of optoelectronic devices due to their low defect state density, better photoelectric characteristics
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Experimental demonstration of a photonic spiking neuron based on a DFB laser subject to side-mode optical pulse injection Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-02-19
Abstract We proposed and experimentally demonstrated a simple and novel photonic spiking neuron based on a distributed feedback (DFB) laser subject to side-mode optical pulse injection (SMOPI). The DFB laser chip is designed and fabricated based on asymmetric equivalent π phase shift (π-EPS) with the reconstruction-equivalent-chirp (REC) technique. Under side-mode continuous-wave (CW) optical injection
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When debugging encounters artificial intelligence: state of the art and open challenges Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-02-21 Yi Song, Xiaoyuan Xie, Baowen Xu
Both software debugging and artificial intelligence techniques are hot topics in the current field of software engineering. Debugging techniques, which comprise fault localization and program repair, are an important part of the software development lifecycle for ensuring the quality of software systems. As the scale and complexity of software systems grow, developers intend to improve the effectiveness
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Density peak clustering using tensor network Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-02-20 Xiao Shi, Yun Shang
We introduce a density-based clustering algorithm with tensor networks. In order to demonstrate its effectiveness, we apply it to various types of data sets, including synthetic data sets, real world data sets, and computer vision data sets. Results demonstrate that it is an efficient quantum-inspired unsupervised learning algorithm and can recognize clusters of arbitrary shape and size. It can also
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Lead-free perovskites-based photonic synaptic devices with zero electric energy consumption Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-02-20 Dandan Hao, Di Yang, Haixia Liang, Jia Huang, Fukai Shan
The von Neumann bottleneck is a critical limitation in synaptic devices. Therefore, artificial synaptic devices resembling biological neuromorphic synapses have been developed to overcome the von Neumann bottleneck. However, synaptic devices require voltages, which results in considerable energy consumption. Here, photonic synaptic devices with the vertical structure of indium tin oxide (ITO)/SnO2/Al2O3/CsBi3I10/Au
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Blindness-free beam scanning antenna with array of array architecture: principle, design, and experiment Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-02-20 Jianxu Sun, Yujian Cheng
This paper presents a 66–76-GHz sparsely-excited phased array antenna with the array of array (AoA) architecture for eliminating the blindness and suppressing the grating lobe when scanning. For the array antennas printed on the thick dielectric layers with high relative permittivity, scanning blindness appears and seriously impacts the radiation performance. To address this issue, the AoA topology
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Segment-wise learning control for trajectory tracking of robot manipulators under iteration-dependent periods Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-02-20 Fan Zhang, Deyuan Meng, Kaiquan Cai
This paper is concerned with the amplitude boundedness problem of adaptive iterative learning control (AILC) for robot manipulators operating with iteration-dependent periods. By introducing virtual memory slots for storing historical data, a practical AILC method is proposed to achieve the segment-wise learning. This method requires less memory storage for historical information of previous iterations
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Joint UAV trajectory and communication design with heterogeneous multi-agent reinforcement learning Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-02-20 Xuanhan Zhou, Jun Xiong, Haitao Zhao, Xiaoran Liu, Baoquan Ren, Xiaochen Zhang, Jibo Wei, Hao Yin
Unmanned aerial vehicles (UAVs) are recognized as effective means for delivering emergency communication services when terrestrial infrastructures are unavailable. This paper investigates a multi-UAV-assisted communication system, where we jointly optimize UAVs’ trajectories, user association, and ground users (GUs)’ transmit power to maximize a defined fairness-weighted throughput metric. Owing to
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Scene text recognition via dual character counting-aware visual and semantic modeling network Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-02-05 Ke Xiao, Anna Zhu, Brian Kenji Iwana, Cheng-Lin Liu
In this work, we study character counting in STR from a new viewpoint, giving a principled framework showing that the counting information is involved in both visual decoding and semantic decoding. Based on the principled framework, we propose a novel scene text recognizer with a dual character counting-aware visual and semantic modeling network, where the counting information is fused in both vision
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Unbalanced private set intersection with linear communication complexity Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-02-05 Quanyu Zhao, Bingbing Jiang, Yuan Zhang, Heng Wang, Yunlong Mao, Sheng Zhong
The private set intersection (PSI) protocol allows two parties holding a set of integers to compute the intersection of their sets without revealing any additional information to each other. The unbalanced PSI schemes consider a specific setting where a client holds a small set of the size n and a server holds a much larger set of the size m (n ≪ m). The communication overhead of state-of-the-art balanced
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A survey of decision making in adversarial games Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-02-04 Xiuxian Li, Min Meng, Yiguang Hong, Jie Chen
In many practical applications, such as poker, chess, drug interdiction, cybersecurity, and national defense, players often have adversarial stances, i.e., the selfish actions of each player inevitably or intentionally inflict loss or wreak havoc on other players. Therefore, adversarial games are important in real-world applications. However, only special adversarial games, such as Bayesian games,
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Mitigate noisy data for smart IoT via GAN based machine unlearning Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-02-02 Zhuo Ma, Yilong Yang, Yang Liu, Xinjing Liu, Jianfeng Ma
With the development of IoT applications, machine learning dramatically improves the utility of variable IoT systems such as autonomous driving. Although the pretrain-finetune framework can cope well with data heterogeneity in complex IoT scenarios, the data collected by sensors often contain unexpected noisy data, e.g., out-of-distribution (OOD) data, which leads to the reduced performance of fine-tuned
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A survey on model-based reinforcement learning Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-01-23 Fan-Ming Luo, Tian Xu, Hang Lai, Xiong-Hui Chen, Weinan Zhang, Yang Yu
Reinforcement learning (RL) interacts with the environment to solve sequential decision-making problems via a trial-and-error approach. Errors are always undesirable in real-world applications, even though RL excels at playing complex video games that permit several trial-and-error attempts. To improve sample efficiency and thus reduce errors, model-based reinforcement learning (MBRL) is believed to
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Investigation and mitigation of Mott neuronal oscillation fluctuation in spiking neural network Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-01-22 Lindong Wu, Zongwei Wang, Lin Bao, Linbo Shan, Zhizhen Yu, Yunfan Yang, Shuangjie Zhang, Guandong Bai, Cuimei Wang, John Robertson, Yuan Wang, Yimao Cai, Ru Huang
Mott devices, featuring low hardware cost and high energy efficiency, have been demonstrated as a key oscillatory element in artificial neurons to enable spiking neural networks (SNNs) such as conversion-based SNNs (CSNNs). However, there will be inevitably non-ideal fluctuation in the oscillation behavior, causing the accuracy degradation of networks. In this paper, we investigate the Mott neuronal
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Fault-tolerant identity-based encryption from SM9 Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-01-22 Xiaohong Liu, Xinyi Huang, Zhaohui Cheng, Wei Wu
This paper initiates the formal study of attribute-based encryption within the framework of SM9, the Chinese National Cryptography Standard for Identity-Based Cryptography, by presenting two new fault-tolerant identity-based encryption (FIBE) schemes. Our first scheme uses the same private-key/ciphertext structure as the original SM9 algorithm and operates in a small attribute universe. As a result
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An evolutionary multiobjective method based on dominance and decomposition for feature selection in classification Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-01-26
Abstract Feature selection in classification can be considered a multiobjective problem with the objectives of increasing classification accuracy and decreasing the size of the selected feature subset. Dominance-based and decomposition-based multiobjective evolutionary algorithms (MOEAs) have been extensively used to address the feature selection problem due to their strong global search capability
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Analysis of phase preservation and interferometric offset test in sparse SAR imaging Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-01-25 Zhongqiu Xu, Bingchen Zhang, Guangzuo Li, Xueli Zhan, Yanfei Bao, Yirong Wu
Sparse synthetic aperture radar (SAR) imaging has emerged as a reliable microwave imaging scheme in the recent decade and excels in down-sampling reconstruction and full-sampling performance improvements such as noise, sidelobe, speckle, and ambiguity suppression. To utilize complex image products of sparse reconstruction for improvement in polarimetric, interferometric, and tomographic SAR imaging
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Value iteration algorithm for continuous-time linear quadratic stochastic optimal control problems Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-01-25 Guangchen Wang, Heng Zhang
In this study, we investigate a continuous-time infinite-horizon linear quadratic stochastic optimal control problem with multiplicative noise in control and state variables. Using the techniques of stochastic stability, exact observability, and stochastic approximation, a value iteration algorithm is developed to solve the corresponding generalized algebraic Riccati equation. Unlike the existing policy
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Reducing idleness in financial cloud services via multi-objective evolutionary reinforcement learning based load balancer Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-01-25 Peng Yang, Laoming Zhang, Haifeng Liu, Guiying Li
In recent years, various companies have started to shift their data services from traditional data centers to the cloud. One of the major motivations is to save on operational costs with the aid of cloud elasticity. This paper discusses an emerging need from financial services to reduce the incidence of idle servers retaining very few user connections, without disconnecting them from the server side
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Multi-stream signals separation based on space-time-isomeric (SPATIO) array using metasurface antennas Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-01-25 Yangming Lou, Liang Jin, Huiming Wang, Zhou Zhong, Junyan Dai
In spatial domain signal processing, it is necessary to equip more antennas at the receiver to improve spatial demultiplexing capability. However, increasing the number of antennas under restricted space will reduce antenna spacing and raise the channel correlation, making the number of signal streams spatially demultiplexed much smaller than that of antennas. This paper proposes a method to design
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Energy consumption optimization for edge computing-supported cellular networks based on optimal transport theory Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-01-25 Xiangyu Lv, Xiaohu Ge, Yi Zhong, Qiang Li, Yong Xiao
With advancements in mobile communication technologies, there have been multiple user device (UD) connections to cellular networks. Because of changes in the spatial distribution of UDs and application requirements, the traditional offloading mechanism based on the nearest distance will result in heavy loads for some base stations (BSs). Because there is a high-order relationship between the energy
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Prescribed-time stabilization and inverse optimal control of stochastic high-order nonlinear systems Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-01-25
Abstract This paper investigates the prescribed-time state-feedback stabilization and prescribed-time inverse optimality problems for stochastic high-order nonlinear systems. First, a time-varying controller is designed by developing scaled quartic Lyapunov functions, which can guarantee that the system has a unique strong solution almost surely on the prescribed interval for any system initial conditions
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Enhancing SAEAs with unevaluated solutions: a case study of relation model for expensive optimization Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-01-25 Hao Hao, Xiaoqun Zhang, Aimin Zhou
Surrogate-assisted evolutionary algorithms (SAEAs) hold significant importance in resolving expensive optimization problems. Extensive efforts have been devoted to improving the efficiency of SAEAs through the development of proficient model-assisted solution selection methods, which, however, first requires generating high-quality solutions. The fundamental paradigm of evaluating a limited number
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A survey on the network models applied in the industrial network optimization Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-01-25
Abstract Network architecture design is critical for optimizing industrial networks. Network architectures can be classified into small-scale networks and large-scale networks based on scale. Graph theory is an efficient mathematical tool for network topology modeling. For small-scale networks, their structure often has regular topology. For large-scale ones, the current body of work mainly focuses
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Multiscale observation in wide-spatial radar surveillance based on coherent FDA design Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-01-25 Lei Yu, Feng He, Yi Su
Wide-spatial radar surveillance missions are challenging tasks, requiring an increased power budget and agility in transmission aimed at extracting information from multiple targets in different environments. These requirements necessitate high transmitting degrees of freedom (DOF) to achieve the objective of multiscale observation for specific tasks in specialized regions of interest. Herein, we exploit
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SWG: an architecture for sparse weight gradient computation Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-01-23 Weiwei Wu, Fengbin Tu, Xiangyu Li, Shaojun Wei, Shouyi Yin
On-device training for deep neural networks (DNN) has become a trend due to various user preferences and scenarios. The DNN training process consists of three phases, feedforward (FF), backpropagation (BP), and weight gradient (WG) update. WG takes about one-third of the computation in the whole training process. Current training accelerators usually ignore the special computation property of WG and
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A FAS approach for stabilization of generalized chained forms: part 1. Discontinuous control laws Sci. China Inf. Sci. (IF 8.8) Pub Date : 2024-01-11 Guang-Ren Duan
In this paper, a type of general nonholonomic systems is proposed, which contains both the Brockett’s two example systems, and their extended n-dimensional chained forms, as special cases. For the stabilization of such systems, a stabilizing controller is proposed based on the fully actuated system (FAS) approach, which is discontinuous at the origin but time-invariant when the open-loop system is
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Slicing capacity-centered mode selection and resource optimization for network-assisted full-duplex cell-free distributed massive MIMO systems Sci. China Inf. Sci. (IF 8.8) Pub Date : 2023-12-27 Jie Wang, Jiamin Li, Pengcheng Zhu, Dongming Wang, Hongbiao Zhang, Yue Hao, Bin Sheng
Network-assisted full-duplex (NAFD) cell-free distributed massive multiple-input multiple-output (MIMO) systems enable uplink (UL) and downlink (DL) communications within the same time-frequency resources, which potentially reduce latency by avoiding the overhead of switching UL/DL modes. However, how to choose UL/DL modes remains an important factor affecting system performance. With the dramatic
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Doppler-resilient waveform design in integrated MIMO radar-communication systems Sci. China Inf. Sci. (IF 8.8) Pub Date : 2023-12-27 Zhengchun Zhou, Bing Liu, Bingsheng Shen, Avik Ranjan Adhikary, Pingzhi Fan
In recent years, the increased high-rate wireless services (5G and 6G) and reliable sensing capabilities (automotive radar, air traffic control, geophysical monitoring), have led to more serious spectrum congestion. Conventionally, radars and communication systems are often seen to be “competing” for the same resources. In this scenario, an integrated platform for radar and communication systems seems
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Fully distributed dynamic event-triggered formation-containment tracking for multiagent systems with multiple types of disturbances Sci. China Inf. Sci. (IF 8.8) Pub Date : 2023-12-27 Weihua Li, Huaguang Zhang, Juan Zhang, Rui Wang
This paper is dedicated to addressing the time-varying output formation-containment tracking (TVOFCT) problem for heterogeneous linear multiagent systems (MASs) with multiple types of disturbances under directed communication topology. The agents are divided into tracking leaders, formation leaders, and followers. In the output space, the formation leaders are required to form an expected geometric
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Modulated symbol-based one-time pad secure transmission scheme using physical layer keys Sci. China Inf. Sci. (IF 8.8) Pub Date : 2023-12-27 Xiaoyan Hu, Zheng Wan, Kaizhi Huang, Liang Jin, Mengyao Yan, Yajun Chen, Jinmei Yang
This paper proposes a novel modulated symbols-based one-time pad (SOTP) secure transmission scheme using physical layer keys. Unlike classical physical layer key generation and exclusive OR (XOR) encryption in the discrete binary space, we design a framework for modulated symbols-based one-time pad (OTP) encryption, where the cryptographic primitive and mathematical model of SOTP is given to build
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RGB oralscan video-based orthodontic treatment monitoring Sci. China Inf. Sci. (IF 8.8) Pub Date : 2023-12-27 Yan Tian, Hanshi Fu, Hao Wang, Yuqi Liu, Zhaocheng Xu, Hong Chen, Jianyuan Li, Ruili Wang
Abstract Orthodontic treatment monitoring involves using current images and previous 3D models to estimate the relative position of individual teeth before and after orthodontic treatment. This process differs from image-based object 6D pose estimation due to the gingiva deformation and varying pose offsets for each tooth during treatment. Motivated by the fact that the poses of molars remain relatively
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ASTSDL: predicting the functionality of incomplete programming code via an AST-sequence-based deep learning model Sci. China Inf. Sci. (IF 8.8) Pub Date : 2023-12-27 Yaoshen Yu, Zhiqiu Huang, Guohua Shen, Weiwei Li, Yichao Shao
Code recommendation systems have been widely used in helping developers implement unfamiliar programming tasks. Many existing code recommenders or code search engines can retrieve relevant code rapidly with high accuracy, however, they cannot recommend any code outside similar ones. We propose an approach to predict the functionality of incomplete programming code by using syntactical information,
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On the convergence of tracking differentiator with multiple stochastic disturbances Sci. China Inf. Sci. (IF 8.8) Pub Date : 2023-12-28 Zehao Wu, Huacheng Zhou, Baozhu Guo, Feiqi Deng
This paper investigates the convergence, noise-tolerance, and filtering performance of a tracking differentiator in the presence of multiple stochastic disturbances for the first time. We consider a general case wherein the input signal is corrupted by additive colored noise, and the tracking differentiator is disturbed by additive colored noise and white noise. The tracking differentiator is shown
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Building a domain-specific compiler for emerging processors with a reusable approach Sci. China Inf. Sci. (IF 8.8) Pub Date : 2023-12-27 Mingzhen Li, Yi Liu, Bangduo Chen, Hailong Yang, Zhongzhi Luan, Depei Qian
Abstract High-performance computing and deep learning domains have been motivating the design of domain-specific processors. Although these processors can provide promising computation capability, they are notorious for exotic programming paradigms. To improve programming productivity and fully exploit the performance potential of these processors, domain-specific compilers (DSCs) have been proposed
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TULAM: trajectory-user linking via attention mechanism Sci. China Inf. Sci. (IF 8.8) Pub Date : 2023-12-19 Hao Li, Shuyu Cao, Yaqing Chen, Min Zhang, Dengguo Feng
Recently, the application of location-based services (LBS) has become a prevalent means to provide convenience in customers’ everyday lives. However, because massive volumes of location information are collected by LBS applications, users may suffer from serious privacy issues. Prior studies have shown that the identities of users can be inferred from historical anonymous trajectories, which is formulated
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Adversarial data splitting for domain generalization Sci. China Inf. Sci. (IF 8.8) Pub Date : 2023-12-18
Abstract Domain generalization aims to learn a model that is generalizable to an unseen target domain, which is a fundamental and challenging task in machine learning for out-of-distribution generalization. This paper proposes a novel domain generalization approach that enforces the learned model to be able to generalize well over the train/val subset splitting of the training dataset. This idea is
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HTDcr: a job execution framework for high-throughput computing on supercomputers Sci. China Inf. Sci. (IF 8.8) Pub Date : 2023-12-22 Jiazhi Jiang, Dan Huang, Hu Chen, Yutong Lu, Xiangke Liao
High-throughput computing (HTC) is a computing paradigm that aims to accomplish jobs by easily breaking them into smaller, independent components. However, it requires a large amount of computing power for a long time. Most existing HTC frameworks are job-oriented without support for coscheduling with hardware architecture and task-level execution. Also, most of the frameworks reach a limited scale
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Error-based adaptive optimal tracking control of nonlinear discrete-time systems Sci. China Inf. Sci. (IF 8.8) Pub Date : 2023-12-21 Chun Li, Jinliang Ding, Frank L. Lewis, Tianyou Chai
In this paper, for the output tracking problem of nonlinear discrete-time systems, a performance index is newly defined using the adaptive dynamic programming (ADP) technique to completely eliminate tracking errors in theory. In contrast to traditional definitions of performance indices in other ADP-based methods, the proposed performance index is not only designed from the perspective of output tracking
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Prescribed-time leader-following consensus of linear multi-agent systems by bounded linear time-varying protocols Sci. China Inf. Sci. (IF 8.8) Pub Date : 2023-12-20
Abstract This paper considers the prescribed-time leader-following consensus problem of input-constrained linear multi-agent systems under generally directed communication topology in two cases: the Laplacian matrix related to the entire communication topology between agents is either known or unknown. In particular, the consensus problem for the former case is solved by a novel bounded linear time-varying
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A Ku-band image-rejection filtering LNA MMIC in 150-nm GaN-on-SiC technology Sci. China Inf. Sci. (IF 8.8) Pub Date : 2023-12-18 Huiyang Li, Jinxu Xu, Xiuyin Zhang
A three-stage Ku-band filtering LNA MMIC has been proposed using 150-nm GaN-on-SiC process in this paper. The design method has been detailed. L-C-L π-shape networks have been designed and used as inter-stage matching networks with highpass filtering responses. To further improve the frequency selectivity and out-of-band rejection level, the LNA output matching network has been designed with a transmission
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Spin-orbit torque efficiency enhancement to tungsten-based SOT-MTJs by interface modification with an ultrathin MgO Sci. China Inf. Sci. (IF 8.8) Pub Date : 2023-12-18 Shiyang Lu, Xiaobai Ning, Hongchao Zhang, Sixi Zhen, Xiaofei Fan, Danrong Xiong, Dapeng Zhu, Gefei Wang, Hong-Xi Liu, Kaihua Cao, Weisheng Zhao
The effect of the MgO interlayer in the W/CoFeB interface on the charge-to-spin current conversion efficiency was experimentally investigated by changing the MgO interlayer thicknesses. Experimental results show high |ξdl| up to 0.58 by introducing a 0.22-nm-thick MgO interlayer, which is 45% enhanced as compared to the one without the MgO interlayer. The switching current density in the corresponding
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In situ plasmonic & electrochemical fiber-optic sensor for multi-metal-ions detection Sci. China Inf. Sci. (IF 8.8) Pub Date : 2023-12-18 Xiaoling Peng, Zhiyong Yang, Bo Peng, Zhi Li, Zhicong Ren, Xicheng Wang, Jiahai Li, Zhencheng Li, Liang Chen, Daotong You, Kaiwei Li, Jianqing Li, Tuan Guo
High precision and high throughput detection of heavy metal ions is essential for water quality monitoring and assessment. Herein, we propose a plasmonic & electrochemical dual-mode fiber sensing probe for label-free and real-time detection of multiple ions (Pb2+ and Cu2+ as examples). This sensor comprises a multimode fiber-single mode fiber reflection probe, the outer surface of which is coated with
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Fewer is more: efficient object detection in large aerial images Sci. China Inf. Sci. (IF 8.8) Pub Date : 2023-12-18 Xingxing Xie, Gong Cheng, Qingyang Li, Shicheng Miao, Ke Li, Junwei Han
Current mainstream object detection methods for large aerial images usually divide large images into patches and then exhaustively detect the objects of interest on all patches, no matter whether there exist objects or not. This paradigm, although effective, is inefficient because the detectors have to go through all patches, severely hindering the inference speed. This paper presents an objectness
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A strong physical unclonable function with machine learning immunity for Internet of Things application Sci. China Inf. Sci. (IF 8.8) Pub Date : 2023-12-18 Pengpeng Ren, Yongkang Xue, Linglin Jing, Lining Zhang, Runsheng Wang, Zhigang Ji
The physical unclonable functions (PUFs) are novel cryptographic primitives in modern hardware security systems. Compared with traditional alternatives based on digital keys and non-volatile memory (NVM), the PUF system shows great unclonability, high efficiency, and physical attack resilience. However, the conventional PUF design suffers from weak machine learning immunity, high storage overhead,
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Multi-carrier Tb/s silicon photonic coherent receiver Sci. China Inf. Sci. (IF 8.8) Pub Date : 2023-12-05 Zhen Wang, Xingfeng Li, Jingchi Li, Jian Shen, Yong Zhang, Yikai Su
We propose a silicon polarization-diversity coherent receiver for wavelength-multiplexing transmission without using the large-footprint arrayed waveguide grating (AWG). We have integrated our proposed coherent receiver on the silicon-on-insulator (SOI) platform for high-capacity transmission. In the proposed coherent receiver, high-frequency photocurrent signals from other wavelengths are suppressed
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Command filter-based I&I adaptive control for MIMO uncertain systems with input saturation and disturbances Sci. China Inf. Sci. (IF 8.8) Pub Date : 2023-11-28 Qi Han, Zhitao Liu, Hongye Su, Xiangbin Liu
This paper develops a control strategy based on immersion and invariance (I&I) adaptive methodology for a class of multi-input multi-output (MIMO) systems in the presence of parametric uncertainty, input saturation, and external disturbance. To avoid the analytic calculation in the backstepping process, a high-gain auxiliary system is constructed to compensate for the effect of command filter error