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2nd IEEE/ASME International Conference on Mechatronic and Embedded systems and Applications, MESA 2006

作者： Tao, Huang Yunfei, Zhou Ming, Zhong National Numerical Control System Engineering Research Center Huazhong University of Science and Technology 430074 China National Numerical Control System Engineering Research Center Huazhong University of Science and Technology 430074 China School of Information Engineering Wuhan University of Technology 430070 China

ISBN: (纸本)0780397215

Aimed for the real-time requirement of Ethernet in embedded system, an Agent-based system was presented. There were one managing node and a lot of control nodes in this new system. In order to reduce the real-time decline resulting from channel conflict, every control node was assigned a default priority and the control nodes with the same priority formed a group. Every control node communicated with each other and managing node based on the priority groups they belonged to. Master Agent in managing node received different status data from every Sub Agent in the control nodes in different cycles. A dynamic adjustment model was set up in Master Agent. The status data gathered from control nodes were counted as inputs of the model;thus, through the model, the priorities of these control nodes could have dynamic adjustments. Network communication distributed channel resources by way of dynamic priorities, ensuring not only that there was less communication conflict among nodes at a certain moment, but also that adaptive adjustments of priorities could be achieved to improve transmission efficiency. The analysis and the simulation results demonstrate the method is correct and efficient.

关键词： Embedded systems

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Study on path-optimization by grade for sorting dies

Study on path-optimization by grade for sorting dies

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2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010

作者： Wu, Tao Li, Bin Wang, Longwen Huang, Yu National Numerical Control System Engineering Research Center Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781424451418

Semiconductor light-emitting die (LED) has now become one of the most popular lighting devices. Before dies are put into process of package, they need be inspected and sorted strictly, so following waste will be saved. Cost of inspection and sort is relatively high, it is urgently needed to improve sort efficiency and reduce sort time. To get efficient solution, detailed view of working flow is presented to make analysis on performance and its influenced factors. It can be revealed that positioning of recycle bins is the major influence factor. Performance may decrease by 3.2 to 0.9 dies per second. Because of this, a path optimization method according grade priority is put forward. In this way, the dies with same grade should get priority to be sorted first. Techniques about die search and merge by grade, traversal of forward and backtrack with cross priority are described in detail. With results of reasonable simulations and a case experiment, this optimization is proved highly effective to reduce sort time and improve dies production rate. © 2010 IEEE.

关键词： Motion planning

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The method and experimental research on seam tracking and dual-beam laser welding for T-type welding seam

The method and experimental research on seam tracking and du...

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2014 International Conference on Manufacturing technology and Electronics Applications, ICMTEA 2014

作者： Wang, Ping Jiang Wang, Xin Lin, Ling Wu, Yang National Numerical Control System Engineering Research Center Huazhong University of Science and Technology WuhanHubei China

ISBN: (纸本)9783038353287

Aimed at the goal of improving the quality and the efficiency of welding for T-type welding seam, This paper put forward a method to track the seam by using the vision sensor. Machine tool main motion trajectory is generated from the numerical model of the parts. The position of two welding torches are adjusted independently based on the machine tool main motion trajectory to ensure the welding precision. Two sets of adjusting mechanism are needed for T-type welding seam. The vision sensor measure the seam and pass the deviation signal to the CNC system. The CNC system adjust the position of the welding torch installed on the cross slide table to reach the goal of seam tracking and dual-beam laser welding for T-type welding seam. Practice shows that this system for T-type welding seam dual-beam laser welding is easy to operate and can improve the quality and the efficiency. © (2014) Trans Tech Publications, Switzerland.

关键词： Seam welding

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Automatic detect and match of LED dies basing on position relations between adjacent dies

Automatic detect and match of LED dies basing on position re...

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International Conference on Machine Learning and Cybernetics

作者： Wu, Tao Li, Bin Wang, Long-Wen Huang, Yu National Numerical Control System Engineering Research Center Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781424465262

In order to improve production efficiency, inspecting and sorting of LED dies are done respectively in prober and sorter. During the inspection, dies may be broken, fragmentized, tiny moved, or deflected slightly, besides, visual scan can also lead to location deviation when the wafer is moved from prober to sorter. All of this can cause some dies mismatch in the sorting stage, which is never allowed. In order to get integrated match of dies, the position relations between adjacent dies are considered, techniques including diagnosing criterion of position relatives, redundant visual scanning, forward and backtrack algorithm with cross priority are put forward. It is proved with experimental results that such re-index approach is more applicable than traditional index method. When dies arrange in good order, match rate is more than 99.5%, by compassion, that of traditional index method is less than 92%. When the wafer is deflected slightly or locally fragmentized, match rate of the former is more than 92.5%, by contrast, that of the latter is less than 50% in same situation. © 2010 IEEE.

关键词： Dies

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Study on real-time correction method of die declination angles in LED sorting system

Study on real-time correction method of die declination angl...

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International Conference on Mechatronics and Automation

作者： Wu, Tao Li, Bin Wang, LongWen Huang, Yu National Numerical Control System Engineering Research Center Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781424451418

All dies are required to keep consistent angles in LED chip sorting. Usually, rectification orient real-time vision is used for this but it may decrease production efficiency greatly, because one correction may need several adjustments. Considering that all dies to be sorted are adhesive to wafer tape, each is rotated, locations of all other dies change. It is a problem for following positioning and sorting. To solve this problem, an on-line angle correction method basing on translation compensation is put forward. In this way, angle deviations of dies are transformed as translations of recycling bins. Each die declination can be corrected without any rotations. It does little impact on sorting efficiency because the translation of recycling bins acts concurrently with the die ejection and transporting, etc. Techniques on figuring out displacement compensations are discussed in detail. In addition, SPN model of declination angle correction is built to analyze its influence to production rate. With theoretical analysis and experimental results, it is revealed that sort efficiency may decrease by only 3% for angle correction. Such effect is perfectly acceptable. © 2010 IEEE.

关键词： Stochastic systems

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Design of a high speed drawing frame monitoring system based on IoT using MQTT protocol

Design of a high speed drawing frame monitoring system based...

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International Conference on Mechanical, Electric and Industrial engineering, MEIE 2018

作者： Cui, Zishang Wu, Jing Shen, Chen Chen, Bing National Engineering Research Center of Numerical Control System Huazhong University of Science and Technology Wuhan430074 China

Online monitoring for sliver quality is an important part of the drawing process. This paper presents a high-speed drawing frame monitoring system based on Internet of Things (IoT) using Message Queuing Telemetry Transport (MQTT) protocol, which consists of drawing frame IoT terminal equipment, the cloud server and PC or mobile terminal equipments. Drawing frame IoT terminal equipment takes Cortex-A7 and Cortex-M4 of series of ***7 as its control cores. The A7 processor publishes IoT data as a communication gateway while the M4 processor collects sensor data and executes local on-line detection program. Two processors run Linux and FreeRTOS as operating system respectively, and the data exchange between them adopt rpmsg pattern. The communication gateway using MQTT publishes data of the IoT terminal to the cloud server for remoting monitoring and intelligent diagnosis, when the local on-line detection system aims at acquiring real-time status of the sliver on drawing frame. Users can check the real-time status of the drawing frame at the subscription end of IoT and on the computer or mobile phone end by subscribing message by theme. Experiments show that the system operates with reliability, and is good compatible with other devices because of the modular design. The adoption of this system can promote the digitization and the intelligentialize of the drawing frame. © Published under licence by IOP Publishing Ltd.

关键词： Internet of things

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Study on auto-path planning according to grade priority for sorting dies

Study on auto-path planning according to grade priority for ...

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2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010

作者： Wu, Tao Li, Bin Wang, Long-Wen Huang, Yu National Numerical Control System Engineering Research Center Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9781424465262

Semiconductor light-emitting diode (LED) has now become one of the most popular lighting devices. Before diodes are put into process of package, they need be inspected and graded strictly, so following waste will be saved. Cost of inspection and sort is relatively high, it is urgently needed to improve sort efficiency and reduce sort time. This is a problem needs comprehensive consideration. Sort performance is influenced by acts such as feeding, ejecting, transporting, placing, recycle bin positioning, and so on. Stochastic Petri net model of concurrent control of multi-shafts scheduling is built to analyze the performance and its influenced factors. It can be revealed that positioning of recycle bins is the major influence factor. Because of this, a path planning method according grade, the diodes with same grade should get priority to be sorted first, is put forward. Techniques about die search and merge by grade, traversal of forward and backtrack with cross priority are described in detail. With reasonable simulations, this optimization is obviously proved effective to reduce sort time and improve diodes production rate. © 2010 IEEE.

关键词： Stochastic systems

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Analysis on mechanisms and performance of on-line angle correction in LED die sorting

Analysis on mechanisms and performance of on-line angle corr...

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International Conference on Mechatronics and Automation

作者： Wu, Tao Li, Bin Wang, LongWen Huang, Yu National Numerical Control System Engineering Research Center Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781424451418

All dies are required to keep consistent angles in LED chip sorting. It is a problem because all chips are adhesive to wafer tape, each is rotated, and locations of all other dies change. Usually, visual rectification is used for this. While, each correction needs several adjustments, it may decrease production efficiency greatly. To solve this problem, an on-line angle correction method is put forward. Techniques including fast fitting to rotating center with machine vision, reverse seeking angle offset and translation distance for correction, approach for over-quadrant are discussed in detail. In addition, SPN model of sorting is built to analyze its influence to production rate. With experimental results, it is proved to be effective for angle correction with little loss of sort efficiency even in not too good working conditions. © 2010 IEEE.

关键词： Computer vision

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Injecting mold protection method based on machine vision

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2012 International Conference on Mechatronic systems and Materials Application, ICMSMA 2012

作者： Wang, Pingjiang Xu, Changjie Chen, Jihong Tang, Xiaoqi National Numerical Control System Engineering Research Center Huazhong University of Science and Technology Wuhan Hubei 430074 China

ISBN: (纸本)9783037855294

Aimed at solving the problem of mold damage caused by a foreign body in the mold before mold clamping, this paper proposes a solution, which applies image processing technology such as background updating and the difference image algorithm to solve it. Not only can it judge whether there is a foreign body in the mold but it can also detect whether the product is perfect by comparing the foreground image with the background image at the appropriate time (before mold clamping or after mold opening) and by calculating the qualified rate of pixel in all ROIs (Region of Interest). To eliminate the influence of vibration and of changes in brightness in the surrounding environment on the detecting results, this paper utilizes near infrared illumination technology and the background updating algorithm. In addition, the ROI is set to improve the detecting speed and accuracy. © (2012) Trans Tech Publications, Switzerland.

关键词： Computer vision

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Low-cost video-based air quality estimation system using structured deep learning with selective state space modeling

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Environment International 2025年 199卷 109496页

作者： Ahmed, Maqsood Zhang, Xiang Shen, Yonglin Ahmed, Tanveer Ali, Shahid Ali, Ayaz Gulakhmadov, Aminjon Nam, Won-Ho Chen, Nengcheng National Engineering Research Center of Geographic Information System School of Geography and Information Engineering China University of Geosciences Wuhan430074 China Department of Computer Science School of Engineering and Digital Sciences Nazarbayev University Astana Kazakhstan Software College Northeastern University Shenyang110169 China Department of Cybernetics Nanotechnology and Data Processing Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 16 Gliwice44-100 Poland Research Center of Ecology and Environment in Central Asia Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences Urumqi830011 China Institute of Water Problems Hydropower and Ecology of the National Academy of Sciences of Tajikistan Dushanbe734042 Tajikistan School of Social Safety and Systems Engineering Institute of Agricultural Environmental Science National Agricultural Water Research Center Hankyong National University Anseong Korea Republic of

Air quality is crucial for both public health and environmental sustainability. An efficient and cost-effective model is essential for accurate air quality predictions and proactive pollution control. However, existing research primarily focuses on single static image analysis, which does not account for the dynamic and temporal nature of air pollution. Meanwhile, research on video-based air quality estimation remains limited, particularly in achieving accurate multi-pollutant outputs. This study proposes Air Quality Prediction-Mamba (AQP-Mamba), a video-based deep learning model that integrates a structured Selective State Space Model (SSM) with a selective scan mechanism and a hybrid predictor (HP) to estimate air quality. The spatiotemporal forward and backward SSM dynamically adjusts parameters based on input, ensures linear complexity, and effectively captures long-range dependencies by bidirectional processing of spatiotemporal features through four scanning techniques (row-wise, column-wise, and their vertical reversals), which allows the model to accurately track pollutant concentrations and air quality variations over time. Thus, the model efficiently extracts spatiotemporal features from video and simultaneously performs regression (PM2.5, PM10, and AQI), and classification (AQI) tasks, respectively. A high-quality outdoor hourly air quality dataset (LMSAQV) with 13,176 videos collected from six monitoring stations in Lahore, Pakistan, was utilized as the case study. The experimental results demonstrate that the AQP-Mamba significantly outperforms several state-of-the-art models, including VideoSwin-T, VideoMAE, I3D, VTHCL, and TimeSformer. The proposed model achieves strong regression performance (PM2.5: R2 = 0.91, PM10: R2 = 0.90, AQI: R2 = 0.92) and excellent classification metrics: accuracy (94.57 %), precision (93.86 %), recall (94.20 %), and F1-score (93.44 %), respectively. The proposed model delivers consistent, real-time performance with a latency

关键词： Air quality

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