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IEEE Transactions on Industrial Cyber-Physical Systems 2024年 2卷 495-507页

作者： Zhang, Jiusi Tian, Jilun Luo, Hao Wu, Shimeng Yin, Shen Kaynak, Okyay Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China Norwegian University of Science and Technology Department of Mechanical and Industrial Engineering Faculty of Engineering Trondheim7034 Norway Bogazici University Istanbul34342 Turkey Ningbo University of Science and Technology Ningbo315000 China

As industrial cyber-physical systems (ICPS) play an increasingly pivotal role in the new industrial paradigm, their sustainability has become the current research focus. Remaining useful life (RUL) prediction, also known as prognostics, is critically significant for the sustainability of ICPS. The prognostics involve utilizing process monitoring devices within ICPS to acquire real-time operational data. Based on the trends observed in the monitored data, the analysis predicts when potential system failures may occur. Accurate prognostics allow real-time monitoring of the system's health status, which enables early warning of possible faults and system reliability. The primary objective of this paper is to provide readers with a timely survey and review that reveals the current research status, development trends, and common challenges in the prognostics domain within ICPS. From the perspective of artificial intelligence (AI), the paper comprehensively reviews predictive approaches based on stochastic process, machine learning, and their hybrid applications. Through a comprehensive comparison of existing approaches, the paper delves into the strengths and weaknesses of these approaches. Furthermore, facing some cutting-edge issues in existing RUL prediction approaches for ICPS, this paper analyzes some pioneering investigations that have achieved great results. Finally, the paper explores the opportunities and challenges of prognostics from the perspective of artificial intelligence, which aims to drive the sustainability of ICPS. © 2023 IEEE.

关键词： Cyber Physical System

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A dual-path instance segmentation network based on nuclei contour in histology image

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Discover Artificial Intelligence 2023年第1期3卷 35页

作者： Li, Jiangqi Li, Xiang Li, Minglei Yan, Pengfei College of Mathematical Sciences BoHai University JinZhou121000 China Department of Control Science and Engineering Harbin Institute of Technology Harbin150001 China

Accurate segmentation of nuclei in histology images is essential for digital pathology. However, previous work should have considered integrating nuclei contour information into network learning. The main problems are (1) nuclei contour information needs to be fully considered, resulting in inaccurate spatial location of nuclei. (2) Small nuclei in dense regions or irregularly shaped nuclei cannot be segmented. (3) Mainstream networks consider more long-distance semantic information and larger receptive fields and do not consider the fusion of feature maps with different semantics. To solve the above problems, we have proposed a contour-based dual-path instance segmentation network. Firstly we reconstructed the nuclei contour information using algorithms and morphological manipulations. Provide input for subsequent contouring networks. Then we designed a dual-path network. It can extract nuclei features and contour features independently in the encoding stage and fuse the feature maps at different scales in the decoding stage. In the decoding stage, we use the attention module with a newly designed fusion mechanism, which allows us to fuse different semantics of feature maps for simple and efficient fusion. Finally, using the watershed algorithm, we use the network segmentation results to get the instance segmentation results of the nuclei. We used four publicly available datasets, including Kumar, CPM-15, CPM-17, and TNBC, which contain the nuclei of many organs and different forms of nuclei in the human body. Compared with the mainstream methods, we obtained the best AJI metrics, which are 0.656,0.717, and 0.602. In conclocess can effectively improve the performance of the nuclei instance segmentation network. It can accurately locate the scattered nuclei in space with small segmented nuclei in dense regions. © The Author(s) 2023.

关键词： Semantics

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A Contact-Aided Model for Soft Continuum Robots Moving in Unstructured Environment

A Contact-Aided Model for Soft Continuum Robots Moving in Un...

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2024 China Automation Congress, CAC 2024

作者： Jingyu, Zhang Qin, Fang Mingjian, Sun Rong, Xiong Wang, Yue Haojian, Lu School of Information Science and Engineering Harbin Institute of Technology Weihai China Institute of Cyber-Systems and Control Zhejiang University Hangzhou China Department of Control Science and Engineering Harbin Institute of Technology Heilongjiang China

ISBN: (纸本)9798350368604

Due to their inherent flexibility and high human-computer interaction potential, soft continuum robots have been developed and popularized in industrial and medical scenarios. However, when moving in an unstructured environment, the contact with environment will change the configuration parameters of the robot, which brings problems to the control. Aiming at improving the control performance of soft continuum robots in an unstructured environment, a contact-aided model is proposed to estimate the varying configurations of the robot. Besides, a model-based controller is proposed to control the robot in an unstructured environment. To verify the performance of the proposed method, a small-scale soft continuum robot is designed and fabricated. Through the characterization experiment, the robot shows a large workspace by changing the contact position, and the kinematic model is verified. Through the trajectory tracking experiment, the robot showed good accuracy, with an average error of 1.2mm. Through an exploration experiment in the unstructured environment, the robot showed good control effect, with an average error of 1.9mm. This work enhances the application capability of the soft continuum robots in unstructured environments. © 2024 IEEE.

关键词： Microrobots

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Improvement of Steering Performance for Autonomous Vehicles Based on Preview Model 42

Improvement of Steering Performance for Autonomous Vehicles ...

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42nd Chinese control Conference, CCC 2023

作者： Yang, Zipeng Zhao, Linhui Zhao, Xinyi Liu, Haifeng Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China

ISBN: (纸本)9789887581543

This paper presents an approach to traveling along a reference path and evading obstacles with smooth steering angle for autonomous vehicles when trajectory planner and control run asynchronously. Trajectory in this paper is composed of position and time information, which is produced through decision maker, reference line calculator, trajectory smoother and speed planner. In order to restrain possible oscillation of steering angle, a vehicle dynamic model with preview is applied. It is transformed into a standard form of state space and can be directly used in control. Considering the control runs at a higher frequency than planning, a progression method coordinating these two parts is applied, which bases on time points on the trajectory and matches points with vehicle position after preview. The simulation results demonstrate improvement on the smoothness of steering angle. And vehicle's lateral error on tracking trajectory is kept small. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Trajectories

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Multi-vision Based 3D Reconstruction System for Robotic Grinding 18

Multi-vision Based 3D Reconstruction System for Robotic Grin...

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18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023

作者： Zhang, Qimin Cao, Yu Wang, Qiang Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China

ISBN: (纸本)9798350312201

High-precision grinding process often requires to plan the grinding paths based on the reconstructed models of the workpieces. This paper presents a multi-vision based 3D reconstruction system which uses four industrial cameras to capture RGB images from multiple angles to reconstruct the 3D models of the workpieces to be ground. Feature extraction, feature matching and loop closure correction were applied for reconstructing the rough outline of the workpiece. Then we used depth map estimation and fusion to expand sparse point clouds into denser point clouds to improve the reconstruction performance. Poisson reconstruction was finally used to repair the voids on the surface to get a smooth model. The experimental results show that this system can obtain a complete and accurate 3D point cloud model of the workpiece in preparation for the path planning of the robotic grinding. © 2023 IEEE.

关键词： Feature extraction

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Realization of^(87)Rb Bose–Einstein Condensates in Higher Bands of a Hexagonal Boron-Nitride Optical Lattice

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Chinese Physics Letters 2023年第8期40卷 53-57页

作者：刘金玉王小琼许志芳 Department of Physics Harbin Institute of TechnologyHarbin 150001China Department of Physics Southern University of Science and TechnologyShenzhen 518055China Shenzhen Institute for Quantum Science and Engineering Southern University of Science and TechnologyShenzhen 518055China

Ultracold neutral atoms in higher bands of an optical lattice provide a natural avenue to emulate orbital physics in solid state ***,we report the realization of^(87)Rb Bose-Einstein condensates in the fourth and seventh Bloch bands of a hexagonal boron-nitride optical lattice,exhibiting remarkably long coherence time through active *** band mapping spectroscopy,we observe that atoms condensed at the energy minimum of L point(K_(1)and K_(2)points)in the fourth(seventh)band as sharp Bragg *** lifetime for the condensate in the fourth(seventh)band is about 57.6(4.8)ms,and the phase coherence of atoms in the fourth band persists for a long time larger than 110 *** work thus offers great promise for studying unconventional bosonic superfluidity of neutral atoms in higher bands of optical lattices.

关键词： materials bands Einstein

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Involvement of lncRNAs in the tumor microenvironment:a new property of tumor immunity

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Cancer Biology & Medicine 2023年第8期20卷 553-561页

作者： Qingyu Lin Jiaqi Zhu Ying Hu School of Life Science and Technology Harbin Institute of TechnologyHarbin 150001China Zhengzhou Research Institute of Harbin Institute of Technology Zhengzhou 450000China Key Laboratory of Science and Engineering for the Multi-modal Prevention and Control of Major Chronic Diseases Ministry of Industry and Information TechnologyZhengzhou 450000China School of Astronautics Harbin Institute of TechnologyHarbin 150001China

Immune checkpoint blockade(ICB)has achieved durable clinical responses and has significantly improved the overall survival of cancer *** the ICB agents,programmed death 1(PD-1)/programmed death ligand 1(PD-L1)antibodies are used to treat various human tumors by blocking PD-1/PD-L1 *** response rates with low autoimmune toxicity have been reported in 20%–30%of non-selected patients1;however,most patients fail to respond to PD-1/PD-L1 blockade or acquire resistance during therapy through unknown mechanisms1.

关键词： immunity death patients

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Failure modes determination and load-bearing capacity evaluation of concrete columns under seismic loads by ANNs

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Soft Computing 2024年第13-14期28卷 8361-8377页

作者： Hao, Meijing Chang, Wei Xu, Chonghao School of Architecture and Civil Engineering Harbin University of Science and Technology Harbin150080 China Key Lab of Structures Dynamic Behavior and Control Ministry of Education Harbin Institute of Technology Harbin150090 China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology Harbin Institute of Technology Harbin150090 China School of Civil Engineering Harbin Institute of Technology 202 Haihe Road Nangang District Harbin China

The failure modes of concrete columns can be applied to judge the ductility of concrete columns under seismic loads. In addition, the load-bearing capacity of concrete columns was an important parameter in evaluating the seismic performance of concrete columns under seismic loads. However, it was difficult to determine the failure modes and evaluate the load-bearing capacity of concrete columns under seismic loads with the application of high-strength concrete. In this paper, two ANNs, including a genetic algorithm optimization-based support vector machine (GA-SVM) and an ANFIS, were developed to determine the failure modes of concrete columns under seismic loads. The main investigated parameters, including specimens' shear span ratio, the compressive strength of concrete, the yield strength and volumetric ratio of stirrups, and the yield strength and ratio of longitudinal reinforcement, were applied as input variables to the models. The proposed models were trained and tested using 247 data sets from previous studies. The proposed models had high reliability and predictability to determine the failure modes of concrete columns under seismic loads. Furthermore, an ANFIS network was developed to evaluate the load-bearing capacity of concrete columns, which had high reliability and predictability. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Failure modes

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An Improved Classification Method of Ultrasonic Thyroid Standard Planes Based on Bayesian Optimization of Multi-Feature Parameters for Portable Application 42

An Improved Classification Method of Ultrasonic Thyroid Stan...

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42nd Chinese control Conference, CCC 2023

作者： Li, Xinran Zhang, Xin Fan, Chenyang Shen, Yi Harbin Institute of Technology Department of Control Science and Engineering Harbin China School of Mathematics Harbin Institute of Technology Harbin China

ISBN: (纸本)9789887581543

In recent years, computer aided technology is increasingly applied to the classification of thyroid ultrasonic planes for calculating the thyroid volume, and then the disease can be diagnosed by its volume. However, these methods requiring greater computational power are not suitable for the portable ultrasound system with limited performance. Based on Bayesian optimization of multi-feature parameters, an improved classification method of ultrasonic thyroid planes is proposed in this paper for low computational complexity with a high classification accuracy. Local Binary Patterns (LBP) feature and Gray Level Co-occurrence Matrix (GLCM) feature are selected by the analysis of image texture information, and then the combined feature is utilized to investigate the effectiveness of different classifiers. Furthermore, Bayesian optimization is employed to obtain the optimal parameters of the combined feature for improving classification results, and the accuracy can reach up to 96.81%. The results clearly illustrate that the improved method is effective in classifying the ultrasonic thyroid planes under a low computational complexity. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Image classification

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Knowledge and data jointly driven aeroengine gas path performance assessment method

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Chinese Journal of Aeronautics 2024年第5期37卷 533-557页

作者： Zhe WANG Xuyun FU Rui ZHANG Zhengfeng BAI Xiangzhao XIA Wei JIANG Department of Mechanical Engineering Harbin Institute of TechnologyWeihai 264209China Weihai Key Laboratory of Intelligent Operation and Maintenance Harbin Institute of TechnologyWeihai 264209China Control System Design Laboratory AECC ShenYang Engine Research InstituteShenyang 110015China

Aeroengines,as the sole power source for aircraft,play a vital role in ensuring flight *** gas path,which represents the fundamental pathway for airflow within an aeroengine,directly impacts the aeroengine's performance,fuel efficiency,and ***,timely and accurate evaluation of gas path performance is of paramount *** paper proposes a knowledge and data jointly driven aeroengine gas path performance assessment method,combining Fingerprint and gas path parameter deviation ***,Fingerprint is used to correct gas path parameter deviation values,eliminating parameter shifts caused by non-component performance ***,coarse errors are removed using the Romanovsky criterion for short-term data divided by an equal-length overlapping sliding ***,an Ensemble Empirical Mode Decomposition and Non-Local Means(EEMD-NLM)filtering method is designed to“clean”data noise,completing the preprocessing for gas path parameter deviation ***,based on the characteristics of gas path parameter deviation values,a Dynamic Temporary Blended Network(DTBN)model is built to extract its temporal features,cascaded with Multi-Layer Perceptron(MLP),and combined with Fingerprint to construct a Dynamic Temporary Blended AutoEncoder(DTB-AutoEncoder).Eventually,by training this improved autoencoder,the aeroengine gas path multi-component performance assessment model is formed,which can sufficiently decouple the nonlinear mapping relationship between aeroengine gas path multi-component performance degradation and gas path parameter deviation values,thereby achieving the performance assessment of engine gas path *** practical application cases,the effectiveness of this model in assessing the aeroengine gas path multi-component performance is verified.

关键词： Performance assessment Aeroengine Fingerprint Gas path parameter deviation values Jointly drive

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