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2019 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2019

作者： Dong, Ruili Wu, Lei Tan, Yonghong Engineering Research Center of Digitized Textile and Fashion Technology Ministry of Education College of Information Science and Technology Donghua University Shanghai200234 China College of Information Mechanical and Electrical Engineering Shanghai Normal University Shanghai200234 China

ISBN: (纸本)9781728137261

A Piecewise Internal Model Control (PIMC) Strategy is applied to an automatic weighting scale system for mixing process of plastic granule-materials. In this system, a parallel of twin screws are installed to extrude the plastic granule in exact proportion to a mixing tank. As the backlash-like-hysteresis exists in the gearbox-parallel screws and the weight of granule material in the system is changed with time, and it increases the difficulties of control. Thus, in this paper, a piecewise internal model controller is designed for handle to the effect of backlash-like-hysteresis to obtain accurate weighting. Both simulation study and experiment on a weighing scale system for mixing process of plastic granule-materials are implemented for evaluating the PIMC method. © 2018 IEEE

关键词： Hysteresis

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A nonsmooth multi-step predictive control strategy for a sandwich system with backlash

A nonsmooth multi-step predictive control strategy for a san...

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2019 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2019

作者： Wang, Huiyu Dong, Ruili Tan, Yonghong Li, Xiaoli Engineering Research Center of Digitized Textile and Fashion Technology Ministry of Education College of Information Science and Technology Donghua University Shanghai200234 China College of Information Mechanical and Electrical Engineering Shanghai Normal University Shanghai200234 China

ISBN: (纸本)9781728137261

A multi-step predictive control strategy for a sandwich system with backlash is proposed. Backlash is a nonsmooth multi-value mapping, so a classical predictive control method cannot be used in the system directly. In the proposed control approach, a multi-step predictive controller based on nonsmooth optimization technique is designed. Moreover, simulated results are illustrated the validation of the proposed method. © 2018 IEEE

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The multi-objective optimization of esterification process based on improved NSGA-III algorithm

The multi-objective optimization of esterification process b...

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Asian Control Conference

作者： Xiuli Zhu Kuangrong Hao Xuesong Tang Tong Wang Yicun Hua Xiaoyan Liu Engineering Research Center of Digitized Textile & Apparel Technology Ministry of Education College of Information Science and Technology DonghuaUniversity Shanghai P. R. China

ISBN: (纸本)9781728102634

The esterification in polymerization process is a key step in polyester fiber production. There are three optimization objectives in the process of esterification, including rate of esterification (E s ), average molecular weight (M n ), and diethylene glycol content percentage (W t ), which are in conflict with each other. However, currently, in many literatures they all considered the two performance indicators which can not show entirely the process of PET polymerization process. Then, this paper firstly performs a three-objective optimization problem in esterification process with NSGA-III. Additional, the existing multi-objective algorithm NSGA-III can provide a set of solutions, but the diversity of the solutions is poor. Therefore, an improved NSGA-III algorithm, called PNSGA-III, is proposed in this paper to deal with the three-objective optimization problem in esterification process. The PNSGA-III has been compared with original NSGA-III on 9 widely used benchmark test problems WFG1 to WFG9, and the three-objective optimization problem in esterification process. Experimental results indicate that PNSGA-III outperforms NSGA-III in terms of IGD metric and HV metric. Meanwhile, PNSGA-III reaches a better diversity in the esterification problem.

关键词： Optimization Polymers Mathematical model Sociology Statistics Inductors Production

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PET Viscosity Prediction Using JIT-based Extreme Learning Machine

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IFAC-PapersOnLine 2018年第18期51卷 608-613页

作者： Li, Zhenxing Hao, Kuangrong Chen, Lei Ding, Yongsheng Huang, Biao College of Information Science and Technology Donghua University Shanghai201620 China Engineering Research Center of Digitized Textile & Apparel Technology Ministry of Education Shanghai201620 China Department of Chemical and Materials Engineering University of Alberta Edmonton Canada

As a key stage in polyester production, polymerization process is difficult to model due to its complex reaction mechanism. As a result, online viscosity prediction in industrial polyester polymerization processes is not an easy task. An efficient data-driven prediction model is considered in this work. In order to solve the problem of low accuracy of the online viscosity measuring instrument and considerably time-consuming laboratory analysis, variables that are easily monitored during the polymerization process, i.e. temperature and pressure in the main reactor as well as the viscometer values, are selected to establish an Extreme Learning Machine (ELM) viscosity prediction model. A Just-in-time-based ELM model was established to predict the viscosity values under multi-mode operating and multi-standard production conditions. Consequently, without relying on the time-consuming laboratory analysis process, the PET viscosity can be predicted online. The industrial PET viscosity prediction results show the improved prediction performance of the proposed modeling approach in comparison with ELM and JPCR (Just-in-time principal component regression) approaches. © 2018

关键词： Just in time production

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Metapocket: A Tri-Band Flexible Metasurface for Smartphone Antenna Performance Enhancement

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IEEE Antennas and Wireless Propagation Letters 2025年

作者： Zhai, Menglin Tian, Wandai Pei, Rui Xu, Chen Leach, Mark Lim, Eng Gee Wang, Zhao Wang, Jingchen Hua, Qiang Akinsolu, Mobayode O. Liu, Bo Huang, Yi Donghua University College of Information Science and Technology Shanghai201620 China Ministry of Education Engineering Research Center of Digitized Textile and Apparel Technology Shanghai China Xi'an Jiaotong Liverpool University School of Advanced Technology Suzhou215123 China VIVO Mobile Communication Co. Ltd. Dongguan City China University of Huddersfield Department of Engineering and Technology School of Computing and Engineering HuddersfieldHD1 3DH United Kingdom Wrexham University Faculty of Arts Science and Technology WrexhamLL11 2AW United Kingdom University of Glasgow James Watt School of Engineering GlasgowG12 8LU United Kingdom University of Liverpool Department of Electrical Engineering and Electronics LiverpoolL69 3BX United Kingdom

In this paper, a flexible tri-band reflective metasurface, the metapocket, is presented to work with smartphone antennas to enhance its realized gain, and radiation efficiency and reduce its Specific Absorption Rate (SAR). Considering the limitation of the on-body scenario, the metasurface unit cell number is considered as a variable, and an artificial intelligence-driven method (the self-adaptive Bayesian neural network surrogate-model-assisted differential evolution for antenna optimization (SB-SADEA)) is applied to achieve the optimal performance. The designed reflection phase operates at 2.33-2.44 GHz (WIFI band), 3.39-3.56 GHz (5G N77 band) and 5.05-5.39 GHz (WLAN band). Polydimethylsiloxane (PDMS) substrate is utilized for good flexibility and biocompatibility. A state-of-the-art 5G smartphone (VIVO IQOO) is employed in both simulation and measurement. In free space, realized gain enhancement by 4.23, 4.67, 5.8 dB are achieved, radiation efficiency enhancement by 16.6%, 11.5%, 12.1% are achieved, respectively. Furthermore, calculated SAR reduction by 90.2%, 88.9%, 89.9% are achieved. All results verify that the proposed tri-band metapocket is of significant value to smartphone antenna performance in an on-body scenario. © 2002-2011 IEEE.

关键词： Gain-enhancement radiation efficiency SAR reduction smartphone antenna tri-band metapocket

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A vehicular collision avoidance routing algorithm based on V2V 1

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7th International Conference on Computational Data and Social Networks, CSoNet 2018

作者： Zhang, Aiping Li, Demin Zhang, Guanglin Wang, Junjie Cao, Mengqi College of Information Science and Technology Donghua University Shanghai China Engineering Research Center of Digitized Textile and Apparel Technology Ministry of Education Shanghai201620 China

ISBN: (数字)9783030046484

ISBN: (纸本)9783030046477

Vehicle to vehicle (V2V) communication can give us better results by avoiding the major problems in road like collision of vehicle, better route selection in case of traffic congestion etc. In this paper, we propose a vehicular collision avoidance routing algorithm based on V2V communication to deal with the issue of collision of vehicles in urban scenarios. We first investigate vehicular collision cases at intersection, which is influenced by status of traffic light and driving state of vehicle and determine alternative collision sets based on the remaining time of traffic lights. Furthermore, we provide an information acquisition method that takes into account priority of the driving state function and formulize the collision detection. Moreover, by using Network Simulation version 2 (NS-2), compared with Vehicular Ad-hoc on-demand Distance Vector (VAODV), the algorithm proposed in this paper outperforms in network throughput and message delivery time. © Springer Nature Switzerland AG 2018.

关键词： Routing algorithms

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Hydrogen Bond Network Study of Cellulose Ⅱ Based on Molecular Dynamics Simulation

Hydrogen Bond Network Study of Cellulose Ⅱ Based on Molecul...

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作者： Yu Chen Xue-Wei Jiang Wuhan Textile and Apparel Digital Engineering Technology Research Center School of FashionWuhan Textile University

Hydrogen bonds play an important role in the structure and properties of cellulose Ⅱ.In this paper,the initial atom coordinates and molecular model were obtained from experimental *** molecular structural and hydrogen bonds of cellulose Ⅱ were analysed,based on the molecular dynamics simulation at 300 *** discussions were divided into center and origin *** properties of the cellulose structure indicate that the initial model and force field are *** results show that bond lengths and angles of cellulose Ⅱ do not change,except for the hydroxyl *** dihedral angles affect the hydrogen bonds *** angles in the center chain are 32.963%,14.890% and 26.052%,respectively,which are larger than those in the origin *** gt conformation participating in O6-H…O6' hydrogen bonds in the origin chain is 16.558% larger than in the center ***,the gg conformational structure is mainly involved in the O3-H…O5 hydrogen bond in the origin ***,the formed O3-H…O5 hydrogen bond fluctuates greatly in the origin chain,but hardly exists in the center ***,O2-H…O6' has the shortest bond length and the largest *** results can help us to comprehensive understand the stability and structure of cellulose Ⅱ properties more accurately.

关键词： Hydrogen Bond Cellulose Ⅱ Molecular Dynamics Simulation Conformation

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A Real-Time Anomaly Detection Approach Based on Sparse Distributed Representation

A Real-Time Anomaly Detection Approach Based on Sparse Distr...

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Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS), CAA Symposium on

作者： Weikai Wang Chenwei Zhao Kuangrong Hao Xuesong Tang Tong Wang Engineering Research Center of Digitized Textile & Apparel Technology Ministry of Education and are also with College of Information Science and Technology Donghua University Shanghai P. R. China

ISBN: (数字)9781728106816

ISBN: (纸本)9781728106823

As a hot topic in process industries, the problem of anomaly detection has been researched for years. A lot of model-based and data-based approaches were developed to monitor and diagnose faults. As known to us, the data-driven methods are more suitable for a modern industrial process that commonly associated with complex, coupled and large-scale subsystems. In such case, it is hardly to construct an exact model. In existing data-driven approaches, the statistics-based methodologies and the graph theory-based methodologies are typical technologies. But, a fatal flaw of them is online. Some of them works well in offline scenario, however, the performance of online is contrary to that such as Bayesian network. Thanks to our brain, the most complex and rigorous organ in nature copes with quantities of information every moment. A novel and intelligent idea called sparse distributed representation (SDR) has been proposed to encode each element of online data, which is inspired by the information processing way of cerebral cortex. In this paper, a further exploring on SDR is carried out. We propose a theoretical foundation for resolution that is a very important item for SDR to encode each digit exactly. In addition, we also provide a calculation method for its processing boundaries. Ultimately, we take this approach to detect real-time anomaly data like concept drift, and achieve good simulation performance.

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Fashion-Orientation Development and Strategy research of Uniforms

Fashion-Orientation Development and Strategy Research of Uni...

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作者： Hui Tao Xiao-Chen Mao School of Fashion Wuhan Textile University Wuhan Textile and Apparel Digital Engineering Technology Research Center

The development of advanced forms in modern society and the professional diversification brought about new trends in uniforms;at the same time,the barrier-free circulation of global information has also changed people's lifestyles and deepened people's demand for *** connotation and extension of traditional uniforms now have new definitions and directions,so there is significance to seek fashionable methods of uniform design in accordance with the *** paper concluded that:on the one hand,the uniform and fashion world are mutually reinforcing developmental relations,but it was necessary to control the boundary between them,in order to avoid losing the feature of *** the other hand,uniform fashion-orientation would be realized from the deep function of dresser and requirements in technology,the establishment of image and style,the combination of fashion and attempt at intelligence wear,in order to promote the development of modern uniform industries.

关键词： Uniform Design Trends Boundary Strategy

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Embedded software-define radio for wearable microware detection 1

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7th International Conference on Computational Data and Social Networks, CSoNet 2018

作者： Wu, Yizhi Luo, Biao Zhu, Hairui College of Information Science and Technology Donghua University Shanghai China Engineering Research Center of Digitized Textile and Apparel Technology Ministry of Education Shanghai201620 China

ISBN: (数字)9783030046484

ISBN: (纸本)9783030046477

Microwave imaging (MWI) based breast cancer detection has attracted widespread attentions because it has great advantages of non-ionization and low price. However, the current MWI systems require huge and expensive hardware, and complex signal calibration and present substantial challenges to the application of MWI system. For this reason, the embedded MW imaging (E-MWI) method is proposed for breast cancer detection. Firstly, the Software Define Radio (SDR) software is implemented on an embedded platform to reduce cost and miniaturize system. Secondly, an amplitude-based spatial domain confocal algorithm is used in E-MWI system to simplify the system calibration by avoiding signal phase acquisition. To verify the proposed method, experiments platform is set up using the E-MWI prototype system and a liquid breast phantom. The results show that the system successfully detects the target with different sizes. © Springer Nature Switzerland AG 2018.

关键词： Diseases

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