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Friction 2021年第6期9卷 1543-1557页

作者： Tao PENG Qingzhi yan Xiaolu ZHANG yan zhuang Laboratory of Special Ceramics and Powder Metallurgy School of Materials Science and EngineeringUniversity of Science and Technology BeijingBeijing 100083China

To understand the effect of abrasives on increasing friction in Cu-based metallic pads under different braking speeds,pad materials with two typical abrasives,titanium carbide(TiC)and alumina(Al_(2)O_(3)),were produced and tested using a scale dynamometer under various initial braking speeds(IBS).The results showed that at IBS lower than 250 km/h,both TiC and Al_(2)O_(3) particles acted as hard points and exhibited similar friction-increasing behavior,where the increase in friction was not only enhanced as IBS increased,but also enhanced by increasing the volume fraction of the ***,at higher IBS,the friction increase was limited by the bonding behavior between the matrix and *** these conditions,the composite containing TiC showed a better friction-increasing effect and wear resistance than the composite containing Al_(2)O_(3) because of its superior particle-matrix bonding and coefficient of thermal expansion(CTE)*** of the poor interface bonding between the matrix and Al_(2)O_(3),a transition phenomenon exists in the Al_(2)O_(3)-reinforced composite,in which the friction-increasing effect diminished when IBS exceeded a certain value.

关键词： high-speed train friction mechanisms brake pads abrasives

Stabilization of NCSs by random allocation of transmission power to sensors

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Science China(Information Sciences) 2016年第6期59卷 248-260页

作者： Liyuan WANG Ge GUO yan zhuang School of Control Science and Engineering Dalian University of Technology School of Information Science and Technology Dalian Maritime University

This study investigates networked control systems(NCSs), whose sensors communicate with remote controllers via a wireless fading channel. The sensor can choose different power levels at which it can transmit its measurement to the controller. The transmission power is selected according to a given probability *** level of transmission power determines the probability of packet loss. The objective of this study is to find an appropriate transmission power probability distribution and a system controller jointly such that NCSs can be exponentially stabilized within a given energy budget. By the average dwell time technique, sufficient conditions for almost sure stability and an optimal sensor power probability distribution maximizing the stability margin are obtained. The effectiveness of the results is demonstrated by numerical simulations.

关键词： networked control systems power allocation packet dropout almost sure stability transmission energy constraint

Sequence matching enhanced 3D place recognition using candidate rearrangement

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IET Cyber-Systems and Robotics 2022年第3期4卷 189-199页

作者： Chi Li Fei yan yan zhuang School of Control Science and Engineering Dalian University of TechnologyDalianChina

Deep‐learning‐based 3D place recognition has received more attention since the data‐driven fashion is widely used for the 3D point cloud *** of the existing deep‐learning‐based 3D place recognition methods only utilise a single scene for place ***,a single scene may have measurement noise or observable dy-namic object differences,which may lead to a reduction in recognition *** improve the performance of 3D place recognition,a sequence matching based rear-rangement method is *** sequence matching method is based on an assignment algorithm and guides the candidate rearrangement in searching for a similar *** global descriptor extraction adapts the effective sparse tensor representation and a simple pooling layer to obtain the global descriptor.A new loss function com-bination is employed to train the *** proposed approach is evaluated on the popular 3D place recognition benchmarks,which proves the effectiveness of the proposed approach.

关键词： matching Deep recognition

Serum EGF and NGF levels of patients with brain injury and limb fracture

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Asian Pacific Journal of Tropical Medicine 2013年第5期6卷 383-386页

作者： yan-Feng zhuang Jie Li Department of Orthopedic Fuzhou General Hospital

Objective:To explore the expression and significance of human epidermal growth factor(EOF) and nerve growth factor(NGF) in patients with knee osteoarthritis. Methods:RT-PCR and enzyme-linked immunosorbent assay were used to measure the serum EOF and NGF expression levels of patients with limb fracture and brain trauma injurry after 1 d,3 d,7 d,14 d and the relationship between them was *** level was compared among the simple fracture group,traumatic brain injury group and the normal control group,with 40 cases in each ***:The serum NGF levels were significantly different among three groups. Senun NGF,EGF mKNA and protein levels gradually decreased with the increasing injury time in the limb fracture combined with brain injury gnmp,traumatic brain injury group,the simple fracture group and the health control group(P<0.05).Conclusions:The serum of *** levels significandy increased when limb fracture combined with brain injury,so EGF and NGF may be involved in the process of fracture healing.

关键词： Fracture healing Traumatic brain injury EGF NCF

Hierarchical adaptive stereo matching algorithm for obstacle detection with dynamic programming

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控制理论与应用（英文版） 2009年第1期7卷 41-47页

作者： Ming BAI yan zhuang Wei WANG Research Center of Information and Control Dalian University of Technology Dalian Liaoning 116024 China

An adaptive weighted stereo matching algorithm with multilevel and bidirectional dynamic programming based on ground control points （GCPs） is presented. To decrease time complexity without losing matching precision, using a multilevel search scheme, the coarse matching is processed in typical disparity space image, while the fine matching is processed in disparity-offset space image. In the upper level, GCPs are obtained by enhanced volumetric iterative algorithm enforcing the mutual constraint and the threshold constraint. Under the supervision of the highly reliable GCPs, bidirectional dynamic programming framework is employed to solve the inconsistency in the optimization path. In the lower level, to reduce running time, disparity-offset space is proposed to efficiently achieve the dense disparity image. In addition, an adaptive dual support-weight strategy is presented to aggregate matching cost, which considers photometric and geometric information. Further, post-processing algorithm can ameliorate disparity results in areas with depth discontinuities and related by occlusions using dual threshold algorithm, where missing stereo information is substituted from surrounding regions. To demonstrate the effectiveness of the algorithm, we present the two groups of experimental results for four widely used standard stereo data sets, including discussion on performance and comparison with other methods, which show that the algorithm has not only a fast speed, but also significantly improves the efficiency of holistic optimization.

关键词： Stereo matching Ground control points Adaptive weighted aggregation Bidirectional dynamic programming Obstacle detection based on stereo vision

A robust RGB-D visual odometry with moving object detection in dynamic indoor scenes

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IET Cyber-Systems and Robotics 2023年第1期5卷 79-88页

作者： Xianglong Zhang Haiyang Yu yan zhuang College of Mechanical and Electronic Engineering Dalian Minzu UniversityDalianChina School of Control Science and Engineering Dalian University of TechnologyDalianChina

Simultaneous localisation and mapping(SLAM)are the basis for many robotic *** the front end of SLAM,visual odometry is mainly used to estimate camera *** dynamic scenes,classical methods are deteriorated by dynamic objects and cannot achieve satisfactory *** order to improve the robustness of visual odometry in dynamic scenes,this paper proposed a dynamic region detection method based on RGBD ***,all feature points on the RGB image are classified as dynamic and static using a triangle constraint and the epipolar geometric constraint ***,the depth image is clustered using the K-Means *** classified feature points are mapped to the clustered depth image,and a dynamic or static label is assigned to each cluster according to the number of dynamic feature ***,a dynamic region mask for the RGB image is generated based on the dynamic clusters in the depth image,and the feature points covered by the mask are all *** remaining static feature points are applied to estimate the camera ***,some experimental results are provided to demonstrate the feasibility and performance.

关键词： dynamic indoor scenes moving object detection RGB-D SLAM visual odometry

Classifying Chinese Medicine Constitution Using Multimodal Deep-Learning Model

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Chinese Journal of Integrative Medicine 2024年第2期30卷 163-170页

作者： GU Tian-yu yan zhuang-zhi JIANG Jie-hui School of Communication&Information Engineering Shanghai UniversityShanghai(200444)China School of Life Science Shanghai UniversityShanghai(200444)China

Objective:To develop a multimodal deep-learning model for classifying Chinese medicine constitution,i.e.,the balanced and unbalanced constitutions,based on inspection of tongue and face images,pulse waves from palpation,and health information from a total of 540 ***:This study data consisted of tongue and face images,pulse waves obtained by palpation,and health information,including personal information,life habits,medical history,and current symptoms,from 540 subjects(202 males and 338 females).Convolutional neural networks,recurrent neural networks,and fully connected neural networks were used to extract deep features from the *** fusion and decision fusion models were constructed for the multimodal ***:The optimal models for tongue and face images,pulse waves and health information were ResNet18,Gate Recurrent Unit,and entity embedding,*** fusion was superior to decision *** multimodal analysis revealed that multimodal data compensated for the loss of information from a single mode,resulting in improved classification ***:Multimodal data fusion can supplement single model information and improve classification *** research underscores the effectiveness of multimodal deep learning technology to identify body constitution for modernizing and improving the intelligent application of Chinese medicine.

关键词： Chinese medicine constitution classification multimodal deep learning tongue image face image pulsewave health information

Mace-like TTF-TCNQ/HKUST-1 composite structures for rapid NO_(2) detection: Synergistically induced ultrahigh sensitivity and outstanding selectivity

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Nano Research 2023年第12期16卷 13366-13374页

作者： Chaoxin Lin Kumchol Kim Zuochao Wang zhuang yan Zhiyong Tang Yaling Liu CAS Key Laboratory of Nanosystem and Hierarchical Fabrication CAS Center for Excellence in NanoscienceNational Center for Nanoscience and TechnologyBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China Dalian Institute of Chemical Physics Chinese Academy of SciencesDalian 116023China

Integration and synergy of the unique functions of different components have been developed into one of the most convenient and effective ways to construct the composite advanced materials with collective properties and improved *** this work,the mace-like tetrathiafulvalene-tetracyanoquinodimethane(TTF-TCNQ)/HKUST-1 composite structures with single single-crystalline TTF-TCNQ submicrorods covered by ordered HKUST-1 nanosheet arrays were successfully constructed by an efficient TTF-TCNQ seed-mediated growth ***,thanks to the synergetic and complementary effects between TTF-TCNQ and HKUST-1,the sensors based on such mace-like TTF-TCNQ/HKUST-1 composite structures not only displayed an experimental detection limit of 10 part per billion(ppb)for NO_(2) detection,but also exhibited outstanding selectivity even if the concentration of the interfering gases was 10 times that of NO_(2).Meanwhile,good reproducibility and rapid response were also *** work opens the avenue for creation of novel high-performance sensing materials for application in gas sensing.

关键词： tetrathiafulvalene-tetracyanoquinodimethane(TTF-TCNQ)/HKUST-1 integration and synergy NO_(2)detection excellent sensing performance

Research on Key Techniques for Video Surveillance System Applied to Shipping Channel Management

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Journal of China University of Mining and Technology 2007年第2期17卷 277-280页

作者： WANG Lin zhuang yan-bin ZHENG Cheng-zeng School of Computer and Information Engineering Changzhou Institute of Technology Changzhou Jiangsu 213002 China Information Technology Lab of Jiangsu Province Suzhou University Suzhou Jiangsu 215006 China

A video patrol and inspection system is an important part of the government's shipping channel information management. This system is mainly applied to video information gathering and processing as a patrol is carried out. The system described in this paper can preview,edit,and add essential explanation messages to the collected video data. It then transfers these data and messages to a video server for the leaders and engineering and technical personnel to re-trieve,play,chart,download or print. Each department of the government will use the system's functions according to that department's mission. The system can provide an effective means for managing the shipping enterprise. It also pro-vides a valuable reference for the modernizing of waterborne shipping.

关键词： digital video channel cruising video edition streaming media play video application

Rapid recovery of polycrystalline silicon from kerf loss slurry using double-layer organic solvent sedimentation method

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International Journal of Minerals,Metallurgy and Materials 2013年第10期20卷 947-952页

作者： Peng-fei Xing Jing Guo yan-xin zhuang Feng Li Gan-feng Tu School of Materials and Metallurgy Northeastern University Xinjiang Joinworld Co. Ltd.Xinjiang Uygur Autonomous Region Key Laboratory of Electromagnetic Processing of Materials Northeastern University

The rapid development of photovoltaic （PV） industries has led to a shortage of silicon feedstock. However, more than 40% silicon goes into slurry wastes due to the kerf loss in the wafer slicing process. To effectively recycle polycrystalline silicon from the kerf loss slurry, an innovative double-layer organic solvent sedimentation process was presented in the paper. The sedimentation velocities of Si and SiC particles in some organic solvents were investigated. Considering the polarity, viscosity, and density of solvents, the chloroepoxy propane and carbon tetrachloride were selected to separate Si and SiC particles. It is found that Si and SiC particles in the slurry waste can be successfully separated by the double-layer organic solvent sedimentation method, which can greatly reduce the sedimentation time and improve the purity of obtained Si-rich and SiC-rich powders. The obtained Si-rich powders consist of 95.04% Si, and the cast Si ingot has 99.06% Si.

关键词： silicon purification sedimentation organic solvents waste utilization