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6th CAA International Conference on Vehicular control and Intelligence, CVCI 2022

作者： Houhua, Jing Ruixue, Feng Qinggan, Lin Harbin Institute of Technology Department of Control Science and Engineering Harbin China

ISBN: (数字)9781665453745

ISBN: (纸本)9781665453745

Brake by wire system is an important technology for the development of vehicle intelligence and electrification. EMB (Electro-Mechanical Braking System) will surely become a future automatic. The direction of the driving brake development because of its high degree of electrification, compact structure and strong expansibility, conforms to the development direction of electrification. In this paper, the EMB bench is built, and the corresponding simulation model is established. By testing the characteristics of the bench, it is proved that the established simulation model can fully reflect the characteristics of the EMB system. Finally, two clamping force control methods are designed for the EMB system, and the bench test is carried out to compare the control effects. Both braking strengths and fast braking are achieved. Tests show that the experimental system meets the requirements of the development of the electromechanical braking system, and will be used for control algorithm development. © 2022 IEEE.

关键词： Force control

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Navigation line extraction based on image processing for weeding robot 48

Navigation line extraction based on image processing for wee...

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48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

作者： Zheng, Hao Wang, Qiang Ji, Jinming Harbin Institute of Technology Department of Control Science and Engineering Harbin China

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

For weeding, compared to satellite navigation, using the location information of crops in the field to directly navigate the weeding robot is more accurate, so navigation line extraction is a key point in weeding robot autonomous navigation in the field. Though deep learning and neural network has developed fast in recent years, it does not run fast enough to be used in real time scenarios, so an image processing based navigation line extraction algorithm is proposed in this paper. We used a camera to take RGB images, of which the top and the bottom portion would be cut out and the middle portion would be remained to reduce the impact of distance between the crops and the robot. The green in the original image would be found out by transforming the image into the HSV color and then the morphological operation would be used to remove the noises for further image processing. Generally there are more than one ridges in the image, so it is necessary to find out the ridge in the middle for navigation. We clustered the crops according to the distance between them and chose the cluster in the middle to extract the navigation line. At last, the least square algorithm was used to calculate the navigation line. We used the slope of the navigation line and the distance between it and the center point of the image to control the direction of the robot. Experiments of the weeding robot on a simulated farm field showed that the algorithm can achieve the desired navigation effect and further experiments in the field also showed its good performance. © 2022 IEEE.

关键词： Crops

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A Study of Electromagnetic Acoustic Emission technology in Non-destructive Testing 2

A Study of Electromagnetic Acoustic Emission Technology in N...

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2nd International Conference on Sensing, Measurement, Communication and Internet of Things Technologies, SMC-IoT 2023

作者： Chang, Yongqi Shen, Yi Zhang, Xin Song, Shuzhi Zhao, Zhenyu Jie, Huamin Harbin Institute of Technology Department of Control Science and Engineering Harbin China Nanyang Technological University School of Electrical and Electronic Engineering Singapore

ISBN: (纸本)9798350373257

Electromagnetic acoustic emission (EMAE), an emerging and highly promising technology, has gained prominence for its ability to provide profound insights into material integrity evaluation while preserving the specimen integrity. Certain scholars have achieved successful detection of defect in aluminum specimens through the utilization of EMAE technology. However, a comprehensive exploration encompassing the principles, developments, advantages, and limitations pertaining to EMAE remains conspicuously absent within the extant literature. To address aforementioned concern, this paper presents a detailed study on the application of EMAE technology in non-destructive testing (NDT). It categorizes the findings on EMAE based on the distinct electromagnetic interaction mechanisms in ferromagnetic and non-ferromagnetic materials. Additionally, it elucidates the potential of EMAE technology in the detection and identification of rail defects. © 2023 IEEE.

关键词： Ferromagnetic materials

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Spatial Transformer Network with Transfer Learning for Small-scale Fine-grained Skeleton-based Tai Chi Action Recognition 48

Spatial Transformer Network with Transfer Learning for Small...

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48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

作者： Yuan, Lin He, Zhen Wang, Qiang Xu, Leiyang Ma, Xiang Harbin Institute of Technology Department of Control Science and Engineering Harbin China

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

Human action recognition is a quite hugely investigated area where most remarkable action recognition networks usually use large-scale coarse-grained action datasets of daily human actions as inputs to state the superiority of their networks. We intend to recognize our small-scale fine-grained Tai Chi action dataset using neural networks and propose a transfer-learning method using NTU RGB+D dataset to pre-train our network. More specifically, the proposed method first uses a large-scale NTU RGB+D dataset to pre-train the Transformer-based network for action recognition to extract common features among human motion. Then we freeze the network weights except for the fully connected (FC) layer and take our Tai Chi actions as inputs only to train the initialized FC weights. Experimental results show that our general model pipeline can reach a high accuracy of small-scale fine-grained Tai Chi action recognition with even few inputs and demonstrate that our method achieves the state-of-the-art performance compared with previous Tai Chi action recognition methods. © 2022 IEEE.

关键词： Large dataset

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Achieving high strength-ductility synergy in a Mg_(97)Y_(1)Zn_(1)Ho_(1) alloy via a nano-spaced long-period stacking-ordered phase

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Journal of Magnesium and Alloys 2023年第4期11卷 1321-1331页

作者： Mingyu Fan Ye Cui Yang Zhang Xinghao Wei Xue Cao Peter K.Liaw Yuansheng Yang Zhongwu Zhang Key Laboratory of Superlight Materials and Surface Technology Ministry of EducationCollege of Materials Science and Chemical EngineeringHarbin Engineering UniversityHarbin 150001PR China College of Computer Science and Technology Harbin Engineering UniversityHarbin 150001PR China Department of Materials Science and Engineering The University of TennesseeKnoxvilleTN 37996-2100USA Institute of Metal Research Chinese Academy of SciencesShenyang 110016PR China

Achieving high strength in Mg alloys is usually accompanied by ductility ***,a novel Mg97Y1Zn1Ho1 at.%alloy with a yield strength of 403 MPa and an elongation of 10%is *** strength-ductility synergy is obtained by a comprehensive strategy,including a lamella bimodal microstructure design and the introduction of nano-spaced solute-segregated 14H long-period stacking-ordered phase(14H LPSO phase)through rare-earth Ho *** lamella bimodal microstructure consists of elongated un-recrystallized(un-DRXed)coarse grains and fine dynamically-recrystallized grains(DRXed regions).The nano-spaced solute-segregated 14H LPSO phase is distributed in DRXed *** outstanding yield strength is mainly contributed by grain-boundary strengthening,18R LPSO strengthening,and fiberlike reinforcement strengthening from the nano-spaced 14H LPSO *** high elongation is due primarily to the combined effects of the bimodal and lamellar microstructures through enhancing the work-hardening capability.

关键词： Mg wrought alloy Mechanical properties Long-period stacking-ordered(LPSO)phase Age-strengthening behavior Strengthening mechanism

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Icephobic materials and strategies:From bio-inspirations to smart systems

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Droplet 2024年第3期3卷 1-26页

作者： Xinlin Li Yan Liu Zhichun Zhang Yanju Liu Jinsong Leng Centre for Composite Materials and Structures School of AstronauticsHarbin Institute of TechnologyHarbinChina Key Laboratory of Bionic Engineering(Ministry of Education) College of Biological and Agricultural EngineeringJilin UniversityChangchunChina Institute of Structured and Architected Materials Liaoning Academy of MaterialsShenyangChina Department of Astronautical Science and Mechanics Harbin Institute of TechnologyHarbinChina

Unwanted ice formations may cause severe functional degradations of facilities and also have a negative impact on their *** and removing ice accumula-tion is always a hot topic in the industrial and technological *** functional surfaces have been greatly studied for several decades and have proved to be excel-lent candidates for passive anti-/deicing ***,the drawbacks limit their potential industrial uses under harsh conditions,like low temperatures and high *** researches on bionic surfaces are focused on a certain function of nat-ural creatures and their underlined fundamental theories are revealed by taking the interface as the ***,living organisms,either plants or animals,are often sensitive and responsive to their surroundings,avoiding risks and even self-repairing upon *** this prospect,a novel view of the bionic icephobic materials has been proposed in the present review,which is expected to be studied and designed by taking the biological species as a *** two representative icephobic mate-rials,the anti-/deicing theories of superhydrophobic and slippery surfaces are first ***,the recent progress of smart icephobic strategies is summarized from interfaces to *** aim to provide new bionic insights on designing future icephobic strategies.

关键词： removing smart summarized

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Design and Realization of Unmanned Vehicle Autonomous Navigation System Based on Binocular Camera 3

Design and Realization of Unmanned Vehicle Autonomous Naviga...

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3rd International Conference on Computer science, Electronic Information engineering and Intelligent control technology, CEI 2023

作者： Guo, Tianxing Lin, Lianlei Liu, Huanyu Li, Junbao School of Electronics and Information Engineering Harbin Institute of Technology Department of Automatic Test and Control Harbin China Information Countermeasure Technique Institute School of Computer Science and Technology Harbin Institute of Technology Harbin China

ISBN: (纸本)9798350372052

Aiming at the navigation problem of unmanned vehicles in extreme environments such as communication interference and limited GPS signals, this study proposes an autonomous navigation method based on binocular cameras. The method enables the unmanned vehicle to complete the task of localization and map building using only binocular images, without the need for other sensors or signal sources. Meanwhile, this study also proposes a local path planning obstacle avoidance method based on depth map, which, when combined with global localization information, can take into account both local obstacle avoidance and global path navigation, and can cope with random environmental changes. The system uses a single sensor for autonomous obstacle avoidance and navigation, which reduces the computational requirements and ensures the low cost of the navigation system. In order to verify the reliability and effectiveness of the system under signal-constrained conditions, the system is evaluated in a simulation environment and a real field scenario, respectively. The experimental results show that the system is able to achieve reliable localization and path planning under signal-constrained conditions. © 2023 IEEE.

关键词： Cameras

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Temporal-spatial Feature Fusion for Few-shot Skeleton-based Action Recognition 48

Temporal-spatial Feature Fusion for Few-shot Skeleton-based ...

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48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

作者： Xu, Leiyang Wang, Qiang Lin, Xiaotian Yuan, Lin Ma, Xiang Harbin Institute of Technology Department of Control Science and Engineering Harbin China

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

Recognizing new action categories from a few reference samples is an encouraging research field because the cost of labeling data is expensive. This work presents a method for few-shot (or one-shot) skeleton-based action recognition by fusing temporal and spatial features of actions. Trajectory primitives are proposed to characterize the temporal features, which can be obtained by segmenting and clustering the trajectories of joints. After that, we modify the original dynamic time warping (DTW) algorithm and use it to measure the similarity between trajectory primitive sequences. Besides, we compute the joint angles as spatial feature vectors. Support vector machines (SVM) are used to classify the joint angle vectors. In this way, the temporal distance matrix can be calculated by modified DTW, and the spatial distance matrix can be obtained by trained SVM. Finally, we fuse temporal and spatial distance matrices by adjusting a parameter to improve recognition accuracy. Furthermore, extensive experiments are conducted on three small-scale datasets to verify the effectiveness of our proposed method. © 2022 IEEE.

关键词： Trajectories

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SkeletonCLIP: Recognizing Skeleton-based Human Actions with Text Prompts 8

SkeletonCLIP: Recognizing Skeleton-based Human Actions with ...

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8th International Conference on Systems and Informatics, ICSAI 2022

作者： Yuan, Lin He, Zhen Wang, Qiang Xu, Leiyang Ma, Xiang Harbin Institute of Technology Department of Control Science and Engineering Harbin China

ISBN: (纸本)9781665474481

Human action recognition has been a hot research for decades, and mainstream supervised frameworks include a feature extraction backbone and a softmax classifier to predict daily human actions. When the number of classes applied to the dataset changes, we must retrain the classifier on the well-trained backbone. This pipeline restricts the generalization and transfer ability of the model due to an extra training period. Moreover, replacing action labels with simple number labels discards useful semantic information and can only receive a meaningless classifier at last. In this work, we present a model SkeletonCLIP for skeleton-based human action recognition. We add an alternative text encoder to extract semantic information from labels while keeping the original sequence encoder. We use dot production to measure the similarities of sequence-text pairs in place of traditional classifier head and cross-entropy loss. Experiments from three human action datasets show that our framework can reach a higher recognition accuracy with the help of semantic information when training the network from scratch. The code has been shown at eunseo-v/SkeletonCLIP. © 2022 IEEE.

关键词： Semantics

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Interface engineering of Inverted Perovskite Solar Cells Using a Self-doped Perylene Diimide Ionene Terpolymer as a Thickness-Independent Cathode Interlayer

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Chinese Journal of Chemistry 2023年第23期41卷 3326-3332页

作者： Daizhe Wang Tengling Ye Dongqing He Xiaochen Sun Yong Zhang Department of Applied Chemistry School of Chemistry and Chemical EngineeringHarbin Institute of TechnologyHarbinHeilongjiang150001 China School of Materials Science and Engineering Harbin Institute of TechnologyHarbinHeilongjiang150001 China State Key Laboratory of Luminescent Materials and Devices South China University of TechnologyGuangzhouGuangdong510640 China Institute of Advanced Technology Heilongjiang Academy of SciencesHarbinHeilongjiang150020 China

Inverted perovskite solar cells(PerSCs)are a highly promising candidate in the photovoltaic field due to their low-temperature fabrication process,negligible hysteresis,and easy integration with Si-based solar cells.A cathode interlayer(CIL)is necessary in the development of inverted devices to reduce the trap density and energy barrier between the electron transport layer(ETL)and the ***,most CILs are highly thickness-sensitive due to low conductivity and poor *** this study,we report on a self-doping perylene imide-based ionene polymer(PNPDIN)used as CIL material to modify electrode in inverted *** exhibits high conductivity and a good solubility in polar solvent,which results in an improved power conversion efficiency(PCE)from 10.05%(device without a CIL)to 16.97%.When the blend of PNPDIN and Bphen was used as a mixed CIL,the PCE of PerSCs can be further increased to 21.28%owing to the excellent morphology and matched energy *** importantly,the PCE of the device is highly tolerant to the thickness of the mixed CIL,which benefited from the high conductivity of *** development is expected to provide an excellent mixed CIL material for roll-to-roll processing efficient and stable inverted PerSCs.

关键词： Perylene diimide Perovskite solar cells Interface engineering Cathode interlayer Thickness-independent

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