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D-DeepOCSORT: multi-object tracking algorithm based on LiDAR and monocular camera

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Optoelectronics Letters 2025年

作者： HE Xiao REN shuai LIU Chang SHI Lei School of Information Engineering， Chang'an University School of Control of Robotic and Autonomous Systems， University of California Berkeley

Multi-object tracking is a fundamental problem in computer vision， and DeepOCSORT， due to its reliance on the 2D image position information of targets， tends to exhibit prediction drift. To enhance the tracking stability of DeepOCSORT， this paper proposes a novel multi-sensor data fusion-based multi-object tracking method. Specifically， we build upon the DeepOCSORT foundation and additionally integrate target velocity information directly measured by LiDAR. The introduction of this velocity information is conducted from three perspectives: firstly， during data association， a penalty term is constructed based on the differences in target velocities to constrain generating matches with consistent velocities; secondly， using LiDAR velocity for initialization and online updating of the velocity state within the tracker， making tracking predictions more stable; thirdly， controlling the degree of dependence on velocity information by adjusting the process noise covariance matrix. Evaluation results on the KITTI dataset demonstrate that compared to the original DeepOCSORT， the proposed improved multi-source heterogeneous information fusion method significantly enhances tracking performance， with maximum improvements of 3.35， 3.26， and 3.71 on the HOTA， MOTA， and IDF1 metrics， respectively. This study provides an effective approach to building a more stable and accurate multi-object tracking system.

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A Metadata Reconstruction Algorithm Based on Heterogeneous Sensor Data for Marine Observations

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Journal of Ocean University of China 2023年第6期22卷 1541-1550页

作者： GUO shuai SUN Meng mao Xiaodong College of Science Qingdao University of TechnologyQingdao 266520China College of Information and Control Engineering Qingdao University of TechnologyQingdao 266520China

Vast amounts of heterogeneous data on marine observations have been accumulated due to the rapid development of ocean observation *** state-of-art methods are proposed to manage the emerging Internet of Things(IoT)sensor ***,the use of an inefficient data management strategy during the data storage process can lead to missing metadata;thus,part of the sensor data cannot be indexed and utilized(i.e.,‘data swamp’).Researchers have focused on optimizing storage procedures to prevent such disasters,but few have attempted to restore the missing *** this study,we propose an AI-based algorithm to reconstruct the metadata of heterogeneous marine data in data swamps to solve the above ***,a MapReduce algorithm is proposed to preprocess raw marine data and extract its feature tensors in ***,load the feature tensors are loaded into a machine learning algorithm and clustering operation is *** similarities between the incoming data and the trained clustering results in terms of clustering results are also ***,metadata reconstruction is performed based on existing marine observa-tion data processing *** experiments are designed using existing datasets obtained from ocean observing systems,thus verifying the effectiveness of the *** results demonstrate the excellent performance of our proposed algorithm for the metadata recon-struction of heterogenous marine observation data.

关键词： Internet of Things(IoT) sensor data data swamp metadata reconstruction

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An improved PAAs countermeasure based on permutation tables and latch PUF

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Science China(Information Sciences) 2020年第3期63卷 243-253页

作者： bing LI shuai CHEN Kai WANG Advanced Cloud-Systems Research Center School of Microelectronics Southeast University

Dear editor,Maintaining the secrecy of secret keys under the so-called power analysis attack(PAA) is challenging(the summary of PAAs countermeasure was shown in Appendix A). Prior studies have demonstrated that conven... 详细信息

关键词： XOR An improved PAAs countermeasure based on permutation tables and latch PUF

An optimized time-adaptive aerothermal coupling calculation method for aerothermal analysis of disc cavity system

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Chinese Journal of Aeronautics 2024年第9期37卷 164-177页

作者： shuai BI Junkui mao Lei WANG Feng HAN College of Energy and Power Engineering Nanjing University of Aeronautics and AstronauticsNanjing 20016China AECC Aeroengine Control System Institute Wuxi 214063China Integrated Energy Institute Nanjing University of Aeronautics and AstronauticsNanjing 210016China

In order to further achieve the balance between the calculation accuracy and efficiency of the transient analysis of the aero-engine disc cavity system,an Optimized Time-adaptive Aerother-mal Coupling calculation(OTAC)method has been *** combines one-dimensional tran-sient calculation of air system,Conventional Sequence Staggered(CSS)method,Time-adaptive Aerothermal Coupling calculation(TAC)method and differential evolution optimization algorithm to obtain an efficient and high-precision aerothermal coupling calculation method of air *** both the heat conduction in the solid domain and the flow in the fluid domain as unsteady states in the OTAC,the interaction of fluid-solid information within a single coupling time step size was implemented based on the CSS ***,the coupling time step size was automatically adjusted with the number of iterations by using the Proportional-Integral-Deri vative(PID)*** show that when compared with the traditional loosely coupling method with a fixed time step size,the computational accuracy and efficiency of the OTAC method are improved by 8.9%and 30%,*** with the tight coupling calculation,the OTAC method can achieve a speedup of 1 to 2 orders of magnitude,while the calculation error is maintained within 6.1%.

关键词： Air system 1D-3D coupling Conjugate heat transfer Transient calculation Adaptive time step size

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Nonlocal thermal buckling and postbuckling of functionally graded graphene nanoplatelet reinforced piezoelectric micro-plate

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Applied Mathematics and Mechanics(English Edition) 2022年第3期43卷 341-354页

作者： shuai WANG Jiajia mao Wei ZHANG Haoming LU Beijing Key Laboratory of Nonlinear Vibrations and Strength of Mechanical Structures Faculty of Materials and ManufacturingBeijing University of TechnologyBeijing 100124China No.310 Institute the Third Academy of China Aerospace Science and Industry CorporationBeijing 100074China

This paper analyzes the nonlocal thermal buckling and postbuckling behaviors of a multi-layered graphene nanoplatelet(GPL)reinforced piezoelectric *** GPLs are supposed to disperse as a gradient pattern in the composite micro-plate along its *** effective material properties are calculated by the Halpin-Tsai parallel model and mixture rule for the functionally graded GPL reinforced piezoelectric(FG-GRP)*** equations for the nonlocal thermal buckling and postbuckling behaviors of the FG-GRP micro-plate are obtained by the first-order shear deformation theory,the von Kármán nonlinear theory,and the minimum potential energy *** differential quadrature(DQ)method and iterative method are introduced to numerically analyze the effects of the external electric voltage,the distribution pattern and characteristic of GPLs,and the nonlocal parameter on the critical buckling behaviors and postbuckling equilibrium path of the FG-GRP micro-plate in thermal environment.

关键词： graphene reinforced composite functionally graded(FG)plate thermal buckling thermal postbuckling nonlocal theory small-scale effect

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Multiregional neural pathway: from movement planning to initiation

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Signal Transduction and Targeted Therapy 2022年第7期7卷 2121-2122页

作者： Xing-feng mao shuai-shuai Wang Feng Han Key Laboratory of Cardiovascular&Cerebrovascular Medicine Drug Target and Drug Discovery CenterSchool of PharmacyNanjing Medical UniversityNanjingChina Gusu School Nanjing Medical UniversitySuzhou Municipal HospitalThe Affiliated Suzhou Hospital of Nanjing Medical UniversitySuzhouChina Institute of Brain Science The Affiliated Brain Hospital of Nanjing Medical UniversityNanjingChina

A recent study by Inagaki et *** new evidence that the input from the pedunculopontine nucleus/midbrain reticular nucleus(PPN/MRN)to the thalamus can trigger a rapid switch of ALM activity from a motor planning mode to a motor execution mode.1 Planning and execution are vital components of motor behavior that are produced by distinct patterns of neuronal *** researchers have devoted substantial effort to exploring how the precise neural pathway mediates cuetriggered population activity pattern switching for the execution of planned *** different patterns of neuronal population activity in the motor cortex,thalamus,brainstem,and spinal cord are related to motor planning and execution.2,3 However,to understand how neuronal dynamics in the cortex trigger motor execution,it is essential to explore the mechanism underlying the transition between those different modes in response to contextual Go cues(Fig.1).

关键词： cortex al. execution

Stability analysis and stabilization of semi-Markov jump linear systems with unavailable sojourn-time information

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Science China(Information Sciences) 2024年第7期67卷 211-223页

作者： Xiaotai WU Yang TANG shuai mao Ying ZHAO School of Mathematics and Physics Anhui Polytechnic University Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology

This study addresses the stability and stabilization problems of discrete-time semi-Markov jump linear systems(S-MJLSs) with unavailable sojourn-time information. The sojourn-time probability mass functions(S-TPMFs) of discrete-time semi-Markov chains are no longer confined to the geometric distribution, and it is difficult to obtain accurate and comprehensive information for S-TPMFs in practice. This is because S-TPMFs are usually deduced from the statistical characteristics according to the sampled-data, while adequate samples are often costly and time consuming. In this study, when the S-TPMFs for semi-Markov chains are assumed to be unavailable, the σ-error mean square stability is investigated for discrete-time S-MJLSs with some widely used assumptions; for semi-Markov chains, only the transition probability matrix of the embedded chain is used. In addition, the existence conditions of the effective controller are provided for closed-loop systems without using the information of S-TPMFs. Numerical examples are presented to illustrate the validity of the obtained theoretical results.

关键词： semi-Markov chain semi-Markov jump linear systems $\sigma$-error mean square stability unavailable sojourn-time information

A field-based service management and discovery method in multiple clouds context

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Frontiers of Computer Science 2019年第5期13卷 976-995页

作者： shuai ZHANG Xinjun mao Fu HOU Peini LIU College of Computer National University of Defense Technology Changsha 410073 China National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha 410073 China

In diverse and self-governed multiple clouds context, the service management and discovery are greatly challenged by the dynamic and evolving features of services. How to manage the features of cloud services and support accurate and efficient service discovery has becomean open problem in the area of cloud computing. This paper proposes a field model of multiple cloud services and corresponding service discovery method to address the issue. Different from existing researches, our approach is inspired by Bohr atom model. We use the abstraction of energy level and jumping mechanism to describe services status and variations, and thereby to support the service demarcation and discovery. The contributions of this paper are threefold. First, we propose the abstraction of service energy level to represent the status of services, and service jumping mechanism to investigate the dynamic and evolving features as the variations and re-demarcation of cloud services according to their energy levels. Second, we present user acceptable service region to describe the services satisfying users' requests and corresponding service discovery method, which can significantly decrease services search scope and improve the speed and precision of service discovery. Third, a series of algorithms are designed to implement the generation of field model, user acceptable service regions, service jumping mechanism, and user-oriented service discovery. We have conducted an extensive experiments on QWS dataset to validate and evaluate our proposed models and algorithms. The results show that field model can well support the representation of dynamic and evolving aspects of services in multiple clouds context and the algorithms can improve the accuracy and efficiency of service discovery.

关键词： service field service energy level service jumping service management service discovery multiple clouds

Engineering high-performance chemiluminescent probes via enzymatic pocket targeting: high-throughput screening for ultralong afterglow imaging of orthotopic hepatocellular carcinoma

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Science China Chemistry 2025年

作者： shuai Huang shuaige Bai Ting Luo Bin Feng Min Liu Fan Zheng Shuang Huang Yanpeng Fang Dan Ding Wenbin Zeng Xiangya School of Pharmaceutical Sciences Central South University College of Life Sciences Nankai University

Hepatocellular carcinoma （HCC） is a highly aggressive liver malignancy and the main form of liver cancer. Early diagnosis and treatment of HCC can effectively reduce mortality. Carboxylesterase （CE）-specific detection and imaging can be used for early diagnosis and image-guided surgical of HCC. However, traditional optical probes suffer from poor selectivity and low imaging signal-to-noise ratio. Here, we have constructed a series of chemiluminescent probes for carboxylesterase detection based on the strategy of enzymatic pocket-oriented steric tailoring techniques. The probes with different unique and excellent properties have been obtained through the structure-based steric hindrance adjustment on the recognition site. Here, CE-2 has been successfully used for high-throughput screening of rapid carboxylesterase inhibitors due to its extremely low detection limit (2.5×10-4U mL-1) and fast recognition ability. CE-3 has been successfully used for image-guided surgery of orthotopic hepatocellular carcinoma due to its ultra-long chemiluminescence imaging （over 12 h） of hepatocellular carcinoma. This study may promote advances in the rapid detection and screening of inhibitory drugs for CE and the field of surgical navigation in HCC.

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