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High-performance bifunctional near-infrared diode enabled by intentional manipulation of energy transfer and carrier injection with a hetero-active-layer

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JOURNAL OF MATERIALS CHEMISTRY C 2025年第11期13卷 5483-5489页

作者： Ye, Fanghao Zhuang, Guoliang Zheng, Ting Lan, Xi Li, Junzi Feng, Zhipeng He, Hangyu Liu, Siyang Wang, Ming He, Tingchao Xu, Ping Li, Guijun Shenzhen Univ Coll Phys & Optoelect Engn Key Lab Optoelect Devices & Syst Minist Educ & Guangdong Prov Shenzhen 518060 Peoples R China Shenzhen Inst Informat Technol Sch Microelect Shenzhen 518172 Peoples R China

The realization of integrating the generation and reception of optical signals into a single device in the near-infrared (NIR) region is of great value for biometric applications. However, existing semiconductors have limitations in material synthesis and device fabrication, which prevent the fabrication of high-performance integrated devices at low cost. Here, we proposed a bifunctional near-infrared hetero-diode based on FAPbI3/CdSe QDs. The QDs exhibited efficient F & ouml;rster resonance energy transfer (FRET) to the perovskite, while the hole injection barrier, due to the deeper valence band of the QDs, regulated the number of injected holes, resulting in more balanced carrier injection. The hetero-diode improved its EQE from 16.9% to 21.6% as an emitter compared to the FAPbI3 diode and achieved an improved on/off ratio from 2 x 102 to 3 x 103 as a sensing unit. This study opens up a new approach to improving the performance of bifunctional devices.

关键词： Perovskite

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Flexible piezoresistive sensors with high sensitivity and a large linear response range for cuffless blood pressure monitoring via pulse wave velocity

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JOURNAL OF MATERIALS science 2025年第5期60卷 2419-2434页

作者： Zhang, Kai An, Xuyao Wang, Chunnan Wang, Yijie Sun, Zhiyuan Ling, Tianyi Lu, Shuli Sun, Shuqing Tsinghua Univ Inst Biopharmaceut & Healthcare Engn Shenzhen Int Grad Sch Shenzhen 518055 Peoples R China

Cardiovascular disease, characterized by acute onset and high mortality rates, necessitates continuous daily monitoring of blood pressure (BP). Recently, advancements in flexible pressure sensing and intelligent wearable technology offer new solutions for non-invasive ambulatory BP monitoring. However, measuring BP with pressure sensors remain challenging due to the weak nature of skin pulse waves, making it difficult to obtain high-fidelity signals. This work introduced a piezoresistive sensor based on polydopamine and carbon nanotubes, which demonstrated high sensitivity (6.23 kPa-1), excellent linearity (R2 = 0.996) across a broad pressure range (0-350 kPa), and maintained a stable electrical response after 10000 compression cycles. It featured a low detection limit (less than 100 Pa) and a rapid response time (100 ms), enabling the detection of pulse waves at multiple regions. Additionally, this study established a multi-parameter BP estimation model using the pulse wave velocity method, which significantly outperformed three simple models in terms of fitting accuracy. Concurrently, a dual-channel pulse wave measurement system was developed to estimate BP values, and its results were consistent with those from commercial sphygmomanometers. This work provided a simple, low-cost approach for the long-term monitoring of cardiovascular diseases, presenting a competitive alternative to current complex systems.

关键词： Blood pressure

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A Novel Hybrid Fusion Combining Palmprint and Palm Vein for Large-Scale Palm-Based Recognition

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IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 2024年第7期54卷 4471-4484页

作者： Fan, Dandan Liang, Xu Jia, Wei Chen, Junan Zhang, David Chinese Univ Hong Kong Sch Data Sci Shenzhen 518172 Peoples R China Northwestern Polytech Univ Sch Software Xian 710072 Peoples R China Hefei Univ Technol Sch Comp & Informat Hefei 230009 Peoples R China Chinese Univ Hong Kong Shenzhen Inst Artificial Intelligence & Robot Soc Shenzhen 518172 Peoples R China

Palmprint and palm vein are emerging as unique biometric traits for identity authentication, each with its own advantages and limitations. Using these two traits jointly promises to enhance the discriminative and anti-spoofing capabilities. While existing research often combines these traits in parallel, such approaches lead to unnecessary increase in response time. Moreover, large-scale palm-based recognition, as a great potential task, raises higher requirements in accuracy and time efficiency. Nevertheless, few efforts have been dedicated to either data establishment or method investigation for this task. To this end, a large-scale palm-based multimodal dataset covering 20 000 palms is proposed, far larger than any of its kind. We also propose a hybrid fusion method to leverage these two diverse features. Our method employs a two-stage recognition process. First, a dual likelihood ratio test for coarse recognition is designed to assign palms into imposter certainty, genuine certainty or uncertainty classes. The coarse recognition narrows down the number of possible identities accurately using one trait, palm vein, consuming less recognition time. Then, in fine recognition, an adaptive weighted fusion of palmprint and palm vein is proposed to delicately rerecognize the uncertainty subsets that are in doubt in the coarse recognition, resulting in a more discriminative capacities. Experimental results confirm the effectiveness of our method, showing improved recognition performance with high-time efficiency.

关键词： Large-scale palm vein palm-based recognition palmprint score fusion

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Real-World Video Super-Resolution with a Degradation-Adaptive Model

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SENSORS 2024年第7期24卷 2211页

作者： Lu, Mingxuan Zhang, Peng Sun Yat Sen Univ Sch Elect & Commun Engn Shenzhen Campus Shenzhen 518107 Peoples R China

Video super-resolution (VSR) remains challenging for real-world applications due to complex and unknown degradations. Existing methods lack the flexibility to handle video sequences with different degradation levels, thus failing to reflect real-world scenarios. To address this problem, we propose a degradation-adaptive video super-resolution network (DAVSR) based on a bidirectional propagation network. Specifically, we adaptively employ three distinct degradation levels to process input video sequences, aiming to obtain training pairs that reflect a variety of real-world corrupted images. We also equip the network with a pre-cleaning module to reduce noise and artifacts in the low-quality video sequences prior to information propagation. Additionally, compared to previous flow-based methods, we employ an unsupervised optical flow estimator to acquire a more precise optical flow to guide inter-frame alignment. Meanwhile, while maintaining network performance, we streamline the propagation network branches and the structure of the reconstruction module of the baseline network. Experiments are conducted on datasets with diverse degradation types to validate the effectiveness of DAVSR. Our method exhibits an average improvement of 0.18 dB over a recent SOTA approach (DBVSR) in terms of the PSNR metric. Extensive experiments demonstrate the effectiveness of our network in handling real-world video sequences with different degradation levels.

关键词： real-world video super-resolution degradation-adaptive pre-cleaning lightweight network deep learning

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Phase shift control of dual active bridge DC-DC converter based on feedforward compensation and transient optimization strategy

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INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS 2024年第4期52卷 2057-2077页

作者： Luo, Lei Liu, Yitao Yin, Jian YunWang Pan, Xuewei Shenzhen Univ Coll Mechatron & Control Engn Shenzhen Peoples R China Harbin Inst Technol Sch Mech Engn & Automat Shenzhen 518055 Peoples R China Shenzhen Univ Coll Mechatron & Control Engn Shenzhen 518000 Peoples R China

In the context of the dual active bridge (DAB) bidirectional DC-DC converter using the traditional dual-phase-shift (DPS) control method, a transient DC bias occurs during power co-direction and commutation conversion. This bias negatively impacts the converter's transient performance and can lead to harsh effects, such as hard switching problems, resulting in power loss and excessive current stress. In a closed-loop control system, poor transient response may destroy the stability of the converter. In this paper, the transient-optimized-dual-phase-shift (TODPS) control strategy is proposed to eliminate the transient DC bias and to maintain soft switching during transient states. It reduces power loss, eliminates excessive current stress, and allows for smooth transitions between single-phase-shift (SPS) and DPS control strategies without introducing DC bias. A closed-loop control system based on TODPS control is established with feed-forward compensation to adjust the primary-side current and modify transmission power. This adjustment enhances the transient performance of the DAB converter. The proposed strategy is versatile and applicable to various power conversion scenarios involving DAB converters. It enables quick switching of the magnitude and direction of the primary-side current during transient states, resulting in a smooth transient effect without noticeable overshoot or oscillation. The experiment results verify the effectiveness of the proposed transient optimization strategy. The transient-optimized-dual-phase-shift (TODPS) control strategy proposed can eliminate the transient DC bias generated during the power commutation and co-directional conversion of the dual active bridge (DAB) converter controlled by dual-phase-shift (DPS), suppress excessive current stress, and maintain soft switching under transient conditions and is also suitable for smooth switching between single-phase-shift (SPS) and DPS control strategies. image

关键词： DC bias dual active bridge feed-forward compensation hard switching soft switching transient optimization

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Hybrid Mode: Routinization of the Transition Mode as the Third Common Mode for Compound VTOL Drones

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DRONES 2024年第3期8卷 93-93页

作者： Hu, Jiahao Wei, Jingbo Liu, Kun Yu, Xiaobin Cao, Mingzhi Qin, Zijie Sun Yat Sen Univ Sch Aeronaut & Astronaut Shenzhen 518107 Peoples R China

Fixed-wing Vertical Takeoff and Landing (VTOL) drones have been widely researched and applied because they combine the advantages of both rotorcraft and fixed-wing drones. However, the research on the transition mode of this type of drone has mainly focused on completing the process quickly and stably, and the application potential of this mode has not been given much attention. The objective of this paper is to routinize the transition mode of compound VTOL drones, i.e., this mode works continuously for a longer period of time as a third commonly used mode besides multi-rotor and fixed-wing modes, which is referred to as the hybrid mode. For this purpose, we perform detailed dynamics modeling of the drone in this mode and use saturated PID controllers to control the altitude, velocity, and attitude of the drone. In addition, for more stable altitude control in hybrid mode, we identify the relevant parameters for the lift of the fixed-wings and the thrust of the actuators. Simulation and experimental results show that the designed control method can effectively control the compound VTOL drone in hybrid mode. Moreover, it is proven that flight in hybrid mode can reduce the flight energy consumption to some extent.

关键词： compound VTOL drone transition mode model identification control strategy

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Acoustic-VINS: Tightly Coupled Acoustic-Visual-Inertial Navigation System for Autonomous Underwater Vehicles

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IEEE ROBOTICS AND AUTOMATION LETTERS 2024年第2期9卷 1620-1627页

作者： Song, Jiangbo Li, Wanqing Zhu, Xiangwei Sun Yat sen Univ Sch Syst Sci & Engn Guangzhou 510006 Peoples R China Sun Yat sen Univ Sch Aeronaut & Astronaut Shenzhen Campus Shenzhen 518107 Peoples R China Sun Yat sen Univ Sch Informat & Commun Engn Shenzhen Campus Shenzhen 518107 Peoples R China Shenzhen Key Lab Nav & Commun Integrat Shenzhen 518107 Peoples R China Southern Marine Sci & Engn Guangdong Lab Zhuhai Guangzhou Peoples R China

In this work, we present an acoustic-visual-inertial navigation system (Acoustic-VINS) for underwater robot localization. Specifically, we address the problem of the global position of the underwater visual-inertial navigation system being inappreciable by tightly coupling the long baseline (LBL) system into an optimization-based visual-inertial SLAM. In our proposed Acoustic-VINS, the reprojection error, IMU preintegration error, and raw LBL measurement error are jointly minimized within a sliding window factor graph framework. Furthermore, we propose an acoustic-aided initialization method to exhibit an accurate initial state for successful state estimation. Additionally, for wider application, we extend the sensor data of the real-world AQUALOC dataset to obtain the LBL-AQUALOC dataset. Experimental results on the ten sequences of the LBL-AQUALOC dataset in challenging underwater scenes show that our proposed approach outperforms state-of-the-art visual-inertial SLAM.

关键词： Underwater SLAM marine robots sensor fusion AUV navigation localization

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MFACNet: A Multi-Frame Feature Aggregating and Inter-Feature Correlation Framework for Multi-Object Tracking in Satellite Videos

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REMOTE SENSING 2024年第9期16卷 1604页

作者： Zhao, Hu Shen, Yanyun Wang, Zhipan Zhang, Qingling Sun Yat Sen Univ Sch Aeronaut & Astronaut Shenzhen Campus66 Gongchang Rd Shenzhen 518107 Peoples R China Sun Yat Sen Univ Shenzhen Key Lab Intelligent Microsatellite Conste Shenzhen Campus66 Gongchang Rd Shenzhen 518107 Peoples R China

Efficient multi-object tracking (MOT) in satellite videos is crucial for numerous applications, ranging from surveillance to environmental monitoring. Existing methods often struggle with effectively exploring the correlation and contextual cues inherent in the consecutive features of video sequences, resulting in redundant feature inference and unreliable motion estimation for tracking. To address these challenges, we propose the MFACNet, a novel multi-frame features aggregating and inter-feature correlation framework for enhancing MOT in satellite videos with the idea of utilizing the features of consecutive frames. The MFACNet integrates multi-frame feature aggregation techniques with inter-feature correlation mechanisms to improve tracking accuracy and robustness. Specifically, our framework leverages temporal information across the features of consecutive frames to capture contextual cues and refine object representations over time. Moreover, we introduce a mechanism to explicitly model the correlations between adjacent features in video sequences, facilitating a more accurate motion estimation and trajectory associations. We evaluated the MFACNet using benchmark datasets for satellite-based video MOT tasks and demonstrated its superiority in terms of tracking accuracy and robustness over state-of-the-art performance by 2.0% in MOTA and 1.6% in IDF1. Our experimental results highlight the potential of precisely utilizing deep features from video sequences.

关键词： multi-object tracking satellite video inter-feature mapping feature aggregation

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Robust arbitrary trajectory tracking of multiple heterogeneous Euler-Lagrange systems under directed graphs: A fully distributed event-triggered control

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INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL 2024年第14期34卷 9873-9898页

作者： Yang, Yanhua Mei, Jie Ma, Guangfu Harbin Inst Technol Sch Mech Engn & Automat Shenzhen 518055 Guangdong Peoples R China Harbin Inst Technol Guangdong Key Lab Intelligent Morphing Mech & Ada Shenzhen Guangdong Peoples R China

In this paper, the robust arbitrary trajectory tracking problem of multiple heterogeneous Euler-Lagrange (EL) systems with disturbances under a directed graph is investigated via a novel fully distributed event-triggered control (ETC) strategy. Firstly, for an arbitrary tracked trajectory, the Fourier transform technique is employed to approximately obtain its linear form, which represents the leader of multiple EL systems. Since the dynamics and state of the leader are not available to all followers, fully distributed adaptive ETC-based observers are proposed for each follower to reconstruct the leader's trajectory, where the global information requirements are avoided, and the Zeno behavior is excluded by giving the minimum triggering intervals. Armed with the observed information, a robust adaptive ETC protocol is further developed such that the position-like state of each follower can track the leader with the intermittent controller updating, where a minimum control update interval is obtained theoretically. Moreover, the adaptive technique is used to eliminate the influence of the parameter uncertainties of multiple EL systems, thus the tracking is achieved asymptotically. Finally, simulation results are illustrated to show the feasibility and effectiveness of the proposed control strategy.

关键词： directed graph event-triggered control fully distributed control multiple heterogeneous Euler-Lagrange systems parameter uncertainties robust arbitrary trajectory tracking

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The Continuous Jump Control of a Locust-Inspired Robot With Omnidirectional Trajectory Adjustment

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IEEE ROBOTICS AND AUTOMATION LETTERS 2024年第3期9卷 2040-2047页

作者： Yang, Yongzun Feng, Zhiyuan Ma, Songsong Tang, Lingqi Jin, Cheng Li, Yao Harbin Inst Technol Sch Mech Engn & Automat Shenzhen 518055 Peoples R China Harbin Inst Technol State Key Lab Robot & Syst Harbin 150001 Peoples R China Harbin Inst Technol Guangdong Key Lab Intelligent Morphing Mech & Ada Shenzhen 518052 Peoples R China

Jumping is an effective way for small robots to overcome obstacles. After years of development, many miniature jumping robots have been proposed with various mechanisms, and they have achieved jump trajectory control, fall recovery, and even continuous jumps. However, most miniature jumping robots do not have enough actuators to accurately regulate the robot's jumping trajectory, which limits the robot's flexibility to traverse complicated obstacles. In this letter, a variable energy storage and release mechanism and a take-off attitude control mechanism were designed for flexible jump trajectory control. The former was inspired by the semi-lunar process of the locust's hind legs. A cross structure was designed for both steering and body uprighting. Both the static modeling of the torsion springs and the dynamic modeling of the robot jumping process were modeled. This 28 cm long, 120 g weight robot was capable of continuous jumps with precisely controlled omnidirectional trajectories. The maximum jump height and jump distance were 2 m and 4 m. This jumping robot revealed a high trajectory repeatability, with a maximum error of less than 15.5 mm. Finally, the obstacle-crossing ability of this robot with two adjustable parameters was analyzed.

关键词： Bionic design continuous jump jumping trajectory control variable energy storage

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