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7th International Symposium on Test Automation and Instrumentation, ISTAI 2018

作者： Xu, Mengying Wang, Hongjun School of Mechanical and Electrical Engineering Beijing Information Science and Technology University Beijing100192 China Key Laboratory of Modern Measurement and Control Technology Beijing Information Science and Technology University Beijing100192 China

‘S’ specimen through its unique profile features makes it possible to fully mobilise the five-axis linkage function in the five-axis finishing stage. The continuous rotation direction of the rotating axis not only reflects the static error of the machine tool but also the servo system follow error, tool positioning error, profile error etc. The authors studied its influence on the accuracy of each axis of five-axis CNC machine tool by analysing the geometrical characteristics of a S specimen and using UG's CAM environment to process ‘S’ specimen. Finally, the corresponding program forming system for S specimen machining experiments is designed by LabVIEW, and the authors used macro instruction to do NC program trigger system to collect vibration signals segmentally, so that the processing and acquisition system can be synchronised. This provides a more complete basis for the test piece cutting method to evaluate performance of machine tools. © 2019 Institution of engineering and technology. All rights reserved.

关键词： Machine tools

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Research on reliability comprehensive evaluation method of five-axis CNC machine tools based on AHP and extension theory

Research on reliability comprehensive evaluation method of f...

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7th International Symposium on Test Automation and Instrumentation, ISTAI 2018

作者： Wang, Pengjia Wang, Hongjun Chen, Xiumei School of Mechanical and Electrical Engineering Beijing Information Science and Technology University Beijing China Key Laboratory of Modern Measurement and Control Technology of Ministry of Education Beijing Information Science and Technology University Beijing China

Currently, some five-axis CNC machine tools have almost achieved the same advanced level of the western countries in terms of functionality and performance. However, the reliability of system is much lower than similar foreign products. The reliability has become one of bottlenecks to restrict the development of domestic CNC machine tools. At present, domestic reliability research of CNC machine tools developed rapidly, but the evaluation research is limited to a single indicator, lacking overall evaluation about it. To fully evaluate the reliability of five-axis CNC machine tools, the matter-element model of reliability evaluation is established with the application of matter-element in extension theory, and the reliability evaluation indices system is established comprehensively. The correlation functions are introduced to calculate the correlation degree, and the weights of each evaluation indices are determined by using AHP. The actual example and result on two types of domestic CNC machine tools show that the proposed method is effective, reasonable, and accurate in the process of reliability evaluation. The proposed methodology provides a detailed instruction for comprehensive reliability evaluation of CNC machine tools. © 2019 Institution of engineering and technology. All rights reserved.

关键词： Hierarchical systems

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An Optimal Wireless Transmission Strategy based on Coherent Beamforming and Successive Interference Cancellation for Edge Computing

An Optimal Wireless Transmission Strategy based on Coherent ...

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International Conference on Mobile Ad-hoc and Sensor Networks, MSN

作者： Zhehao Li Lei Shi Yi Shi Yuqi Fan Zhenchun Wei Liaoyuan Wu School of Computer Science and Information Engineering HeFei University of Technology Hefei China Ministry of Education Engineering Research Center of Safety Critical Industrial Measurement and Control Technology Hefei China Intelligent Automation Inc. 15400 Calhoun Drive Rockville USA

ISBN: (数字)9781728199160

ISBN: (纸本)9781728192369

In general, edge devices and edge servers in edge computing environment communicate with each other by wireless network, which put forward a high requirement for end-to-end wireless communication performance. In this paper, we propose an optimal strategy by combining the coherent beamforming (CB) technique and the successive interference cancellation (SIC) technique for improving the performance of the edge device communications. CB technique can be used for expanding the transmitter's transmitting range, while SIC technique can be used for improving the receiver's receiving ability. However, when these two techniques are used jointly, interference will occur between transmitters and receivers, which makes the CB-SIC strategy hard to be designed. We first give the mathematical model based on CB-SIC and show it is difficult to solve directly. Then, we design a heuristic algorithm called time slot loop allocation (TSLA) algorithm. TSLA is based on greedy strategy to obtain an approximate optimal solution. By using TSLA, the whole scheduling time will be divided into many time slots. In each time slot, we try to make as many edge devices as possible to transmit data to the server. These can increase the overall data throughput. In simulation, we compare CB-SIC wireless network with CB only, SIC only, and traditional multi-hop network. Simulation results show that the TSLA algorithm can improve the end-to-end communication performance in edge computing environment.

关键词： Performance evaluation Silicon carbide Heuristic algorithms Wireless networks Throughput Servers Edge computing

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Research on gear crack diagnosis of the planet gear transmission

Research on gear crack diagnosis of the planet gear transmis...

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7th International Symposium on Test Automation and Instrumentation, ISTAI 2018

作者： Ma, Chao Liu, Lingtao Wang, Shaohong Peng, Yumin Key laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China Mechanical Electrical Engineering School Beijing Information Science and Technology University Beijing China

Objected to the planetary gear transmission, research on the fault diagnosis of gear cracks is mainly carried out with method of EEMD decomposition and Envelope demodulation. During the process, EEMD decomposition is used to the experiment data and continuously parameters of the root mean square (RMS) value, peak-to-peak (PtP) value, kurtosis (Kr), and other parameters of the IMF components are computed. According those parameters, the signal is reconstructed and after band-pass filtering the Hilbert transform and the envelope demodulation are carried out. The results showed that the power spectrum information obtained by using the EEMD decomposition and Hilbert transform could effectively response fault characteristics of the gear crack in the planetary transmission. The research is beneficial to the gear meshing fault diagnosis of the planetary transmission quickly and accurately and has a positive engineering value. © 2019 Institution of engineering and technology. All rights reserved.

关键词： Demodulation

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Dynamic analysis on the whole body with sitting posture for impact loading

Dynamic analysis on the whole body with sitting posture for ...

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7th International Symposium on Test Automation and Instrumentation, ISTAI 2018

作者： Ma, Chao Yao, Jie Wang, Shaohong Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China School of Biological Science and Medical Engineering Beihang University Beijing China

Objected to influences of impact to the whole body with sitting posture, the inverse dynamical analysis is carried out. Firstly by using the high-speed video camera, the images of the marked points on the body and the impact platform are captured and then the marked points’ displacement can be obtained. Taking those displacements as input parameters, the inverse dynamical composition are continued with AnyBody Modeling System and responses are obtained and the impact transfer performance of the vertical direction in the human body with sitting posture and the muscle activities could be confirmed. From the sitting musculoskeletal model, it is concluded that acting forces of the joints and the mechanism performance of those parts of the body could be computed with different impact loadings, which would be conducive to understand the impact influence for the most parts of the body;especially for those parts that could be not tested. The study could be better for the reasonable countermeasures with certain postures for random impacting loadings. © 2019 Institution of engineering and technology. All rights reserved.

关键词： Video cameras

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Modeling deformable objects using local rigid body simulation

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International Journal of Computers and Applications 2020年第5期42卷 439-448页

作者： Chen, Wanglong Zhu, Lifeng Zhang, Xiaorui State Key Laboratory of Bioelectronics Jiangsu Key Lab of Remote Measurement and Control School of Instrument Science and Engineering Southeast University Nanjing China CICAEET Nanjing University of Information Science & Technology Nanjing China Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science & Technology Nanjing China

As two common types of objects in the world, rigid and deformable bodies are usually simulated with different models in computer graphics. In this work, we study how to reuse the rigid-body simulation techniques for modeling deformable objects. A deformable object is first decomposed into several overlapping patches. These patches are then simulated as rigid bodies. Finally, these patches are explicitly stitched to obtain the deformed shape. We tested our method with various configurations and show that rigid body simulation techniques can be effectively reused to model deformable objects. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Deformation

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Joint graphical consistency learning for simultaneous lumen and neovascularization segmentation and analyzation in intravascular optical coherence tomography

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Biomedical Signal Processing and control 2025年 110卷

作者： Ding, Lin Zhao, Chen Jia, Haibo Yu, Bo Xu, Jingjiang Zhao, Shiyong Dong, Feng Ren, Shangjie Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information Engineering Tianjin University Tianjin300072 China Key Laboratory of Myocardial Ischemia Chinese Ministry of Education Department of Cardiology of the Second Affiliated Hospital Harbin Medical University 246 Xuefu Road Nangang District Heilongjiang Harbin150086 China School of Physics and Optoelectronic Engineering Foshan University Foshan528000 China Tianjin Horimed Technology Co. Ltd. Tianjin 300072 China

Accurate segmentation of the lumen and neovascularization (NV) in intravascular optical coherence tomography (IVOCT) images is critical for the precise diagnosis and treatment of coronary artery disease (CAD). However, the complex vascular geometry and the small, irregular morphology of NV pose significant challenges to traditional segmentation methods based on handcrafted features or single deep learning models. To address these limitations, this study proposes the Joint Graphical Consistency Learning Network (JGCLNet), which integrates convolutional neural networks and graph neural networks to enhance structural representation learning. The network employs a dual-branch architecture, allowing dedicated processing of lumen and NV segmentation tasks, and incorporates a graph convolutional module to extract vascular topological information, improving boundary delineation. Additionally, a joint consistency learning module is introduced to facilitate cross-task information sharing and interaction. To mitigate the severe class imbalance between NV and lumen, a weighted joint loss function is designed. Experimental validation on a dataset of 11,027 IVOCT images demonstrates that JGCLNet achieves Dice coefficients of 74.25% for NV and 99.11% for the lumen, significantly outperforming state-of-the-art methods while reducing false positive rates. Clinically, JGCLNet enables fully automated quantitative NV assessment, including NV area, density, count, and 3D visualization, providing robust support for early CAD diagnosis, lesion stability evaluation, and interventional planning. The high accuracy and automation capabilities of JGCLNet make it a promising tool for IVOCT-based CAD imaging analysis. © 2025 Elsevier Ltd

关键词： Optical coherence tomography

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Preparation of Different Lights Irradiated ZnSe/GSH QDs and Their Interaction with BSA

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Journal of Wuhan University of technology(Materials Science) 2019年第4期34卷 858-865页

作者： DING Ling LI Shiqian The State Key Laboratory of Refractories and Metallurgy Wuhan University of Science and Technology Wuhan 430081China Coal Conversion and New Carbon Materials Hubei Key Laboratory School of Chnemistry and Chemical EngineeringWuhan University of Science and TechnologyWuhan 430081China Key Laboratory of Measurement and Control System for Offshore Environment Fuqing Branch of Fujian Normal UniversityFuqing 350300China

Using L-glutathione(GSH) as a capping agent,Zn Se/GSH quantum dots(QDs) were prepared under microwave irradiation and irradiated under dark, ultraviolet light and incandescent light, respectively. The properties and interaction of different lights irradiated ZnSe/GSH QDs and bovine serum albumin(BSA) were studied systematically. The fluorescence(FL) spectra results reveal that the quenching mechanism are all the static quenching in nature. The quenching constant(Ksv) and binding constant(K) value of different irradiated Zn Se/GSH QDs and BSA all increased with the change of light types from dark to incandescent light and UV light. The number of binding site(n) is close to 1 at different temperatures. The lighting types influence the enthalpy and entropy changes. The Fourier transform infrared(FTIR) spectra indicate that the light induced GSH ligand will facilitate photocatalytic oxidation on the surface of ZnSe/GSH QDs. The circular dichroism(CD)results show that the α-helicity content of BSA decreases from 60.34%, 59.31%, to 58.79% under UV lighting,incandescent lighting and dark conditions. The interaction results of different lights illuminated ZnSe/GSH QDs with BSA by CD spectra method matches well with that by FL and FTIR spectra. That is, the interaction of ZnSe/GSH QDs and BSA from strong to weak is UV light, incandescent light and dark in sequence.

关键词： lights irradiated ZnSe/GSH quantum dots preparation bovine serum albumin interaction thermodynamics

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Content Distribution based on Joint V2I and V2V Scheduling in mmWave Vehicular Networks

arXiv

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arXiv 2022年

作者： Su, Lan Niu, Yong Han, Zhu Ai, Bo He, Ruisi Wang, Yibing Wang, Ning Su, Xiang The State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China The Frontiers Science Center for Smart High-Speed Railway System Beijing Jiaotong University Beijing100044 China The National Mobile Communications Research Laboratory Southeast University Nanjing211189 China The Department of Electrical and Computer Engineering University of Houston HoustonTX77004 United States The Department of Computer Science and Engineering Kyung Hee University Seoul446-701 Korea Republic of The State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China The School of Information Engineering Zhengzhou University Zhengzhou450001 China The Norwegian University of Science and Technology Norway and University of Oulu Finland

With the explosive growth of vehicle applications, vehicular networks based on millimeter wave (mmWave) bands have attracted interests from both academia and industry. mmWave communications are able to utilize the huge available bandwidth to provide multiple Gbps transmission rates among vehicles. In this paper, we address the content distribution scheduling problem in mmWave vehicular networks. It has been challenging for all vehicles in the same network to complete content downloading due to the limited communication resources of roadside units (RSUs) and the high mobility of vehicles. We propose a joint vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) scheduling scheme to minimize the total number of content distribution time slots from a global optimization perspective. In the V2I phase, the RSU serially transmits integrity content to vehicles, which are selected according to the vehicular network topology and transmission scheduling scheme. In the V2V phase, full-duplex communications and concurrent transmissions are exploited to achieve content sharing between vehicles and improve transmission efficiency. Performance evaluations demonstrate that our proposed scheme reduces the number of time slots and significantly improves system throughput when compared with other schemes, especially under large-size file transfers and a large number of vehicles. Copyright © 2022, The Authors. All rights reserved.

关键词： Millimeter waves

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Deep Attentive Generative Adversarial Network for Photo-Realistic Image De-Quantization

arXiv

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arXiv 2020年

作者： Zhang, Yang Hu, Changhui Lu, Xiaobo School of Automation Southeast University Nanjing210096 China Faculty of Engineering and Information Technology University of Technology Sydney UltimoNSW2007 Australia Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China School of Automation Southeast University Nanjing210096 China

Most of current display devices are with eight or higher bit-depth. However, the quality of most multimedia tools cannot achieve this bit-depth standard for the generating images. De-quantization can improve the visual quality of low bit-depth image to display on high bit-depth screen. This paper proposes DAGAN algorithm to perform super-resolution on image intensity resolution, which is orthogonal to the spatial resolution, realizing photo-realistic de-quantization via an end-to-end learning pattern. Until now, this is the first attempt to apply Generative Adversarial Network (GAN) framework for image de-quantization. Specifically, we propose the Dense Residual Self-attention (DenseResAtt) module, which is consisted of dense residual blocks armed with self-attention mechanism, to pay more attention on high-frequency information. Moreover, the series connection of sequential DenseResAtt modules forms deep attentive network with superior discriminative learning ability in image de-quantization, modeling representative feature maps to recover as much useful information as possible. In addition, due to the adversarial learning framework can reliably produce high quality natural images, the specified content loss as well as the adversarial loss are back-propagated to optimize the training of model. Above all, DAGAN is able to generate the photo-realistic high bit-depth image without banding artifacts. Experiment results on several public benchmarks prove that the DAGAN algorithm possesses ability to achieve excellent visual effect and satisfied quantitative performance. Copyright © 2020, The Authors. All rights reserved.

关键词： Generative adversarial networks

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