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Journal of Donghua University(English Edition) 2022年第5期39卷 490-495页

作者：张珏李祥健刘肖燕李楠杨开强朱恒 College of Information Science and technology Donghua UniversityShanghai 201620China engineering research center of Digitized textile&fashion technology Ministry of EducationShanghai 201620China

A large number of logistics operations are needed to transport fabric rolls and dye barrels to different positions in printing and dyeing plants, and increasing labor cost is making it difficult for plants to recruit workers to complete manual operations. Artificial intelligence and robotics, which are rapidly evolving, offer potential solutions to this problem. In this paper, a navigation method dedicated to solving the issues of the inability to pass smoothly at corners in practice and local obstacle avoidance is presented. In the system, a Gaussian fitting smoothing rapid exploration random tree star-smart(GFS RRT^(*)-Smart) algorithm is proposed for global path planning and enhances the performance when the robot makes a sharp turn around corners. In local obstacle avoidance, a deep reinforcement learning determiner mixed actor critic(MAC) algorithm is used for obstacle avoidance decisions. The navigation system is implemented in a scaled-down simulation factory.

关键词： rapid exploration random tree star smart(RRT*-Smart) Gaussian fitting deep reinforcement learning(DRL) mixed actor critic(MAC)

Adaptive Neural Network Control for Euler-Lagrangian Systems with Uncertainties

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Journal of Donghua University(English Edition) 2022年第5期39卷 485-489页

作者：程新卢文科刘华山 College of Information Science and technology Donghua UniversityShanghai 201620China engineering research center of Digitized textile and fashion technology Ministry of EducationShanghai 201620China

An adaptive controller involving a neural network(NN)compensator is proposed to resist the uncertainties in the Euler-Lagrangian system(ELS).Firstly,a proportional-differential(PD)control law is designed for the nominal model.Meanwhile,the uncertainties including model error and external disturbance are separated from the closed-loop system.Then,an adaptive NN compensator based on the online training mode is proposed to eliminate the adverse effect of the uncertainties.In addition,the stability of the closed-loop system is proved by Lyapunov theory.Finally,the effectiveness of the proposed approach is verified on a two-degree-of-freedom robot manipulator.

关键词： adaptive control neural network(NN) uncertainty compensator Euler-Lagrangian system(ELS)

Application Layer Multicast Model with Low Delay and High Stability

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Journal of Donghua University(English Edition) 2023年第1期40卷 74-79页

作者：廖小飞宣益亮宿轩策李德敏 College of Information Sciences and technology Donghua UniversityShanghai 201620China engineering research center of Digitized textile&fashion technology Ministry of EducationDonghua UniversityShanghai 201620China

As an alternative of Internet protocol(IP)multicast,application layer multicast(ALM)is widely used with the advantage of simplicity and flexibility.However,the existing problems of large transmission delay and poor stability limit the application and development.In this article,to solve these problems,an ALM model based on node potential(NP)and topological index(TI)is proposed.The proposed model considers the factors of node capability and node distance in constructing and maintaining multicast tree to reduce transmission delay and increase stability,and thus it improves the application level in real-time multimedia multicast.The computer simulations prove that the proposed model reduces the ALM transmission delay,increases multicast tree stability effectively,and improves the ALM performance,and therefore it is suitable to apply in large-scale real-time multimedia environment.

关键词： application layer multicast(ALM) high stability low delay node potential(NP) topological index(TI)

Smart Clothing Fabric Color Matching with Reference to Popular Colors

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Journal of Donghua University(English Edition) 2022年第4期39卷 317-324页

作者：张亚妮庄剑强黄荣董爱华袁浩东 College of Information Science and technology Donghua UniversityShanghai 201620China engineering research center of Digitized textile&fashion technology Ministry of EducationDonghua UniversityShanghai 201620China

Color economy and market fashion trend have an increasing impact on clothing fabric color matching.Therefore,a smart clothing fabric color matching system with reference to popular colors is designed to realize the diversification of clothing color matching,which includes a palette generation module and a clothing fabrics-palette color matching network(CF-PCN).Firstly,palette generation module generates palettes referring popular colors while maintains color styles of clothing fabrics.Secondly,CF-PCN generates color matching images containing color information of palettes.The experimental results show that the color matching system has a higher average pixel ratio of palette colors and contains more palette color information.It demonstrates that the system achieves color matching innovation referring popular colors while retaining color style of clothing brands and provides designers with appropriate color matching solutions.

关键词： popular color clothing fabric color matching support vector machine(SVM) discrete particle swarm optimization algorithm generative adversarial network

High‑Speed Sirospun Conductive Yarn for Stretchable Embedded Knitted Circuit and Self‑Powered Wearable Device

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Advanced Fiber Materials 2023年第1期5卷 154-167页

作者： Li Niu Jin Wang Kai Wang Heng Pan Gaoming Jiang Chaoyu Chen Pibo Ma engineering research center of Knitting technology Ministry of EducationCollege of Textile Science and EngineeringJiangnan UniversityWuxi 214122China State Key Laboratory of New textile Materials and Advanced Processing Technologies Wuhan Textile UniversityWuhan 430200China

In the intelligent era,the textile technique is a high efficiency,mature and simple manufacturing solution capable of fabricat-ing fully flexible wearable devices.However,the external circuit with its integration and comfort limitations cannot satisfy the requirements of intelligent wearable and portable devices.This study presents an industrialized production method to fabricate core–shell structure conductive yarn for direct textile use,prepared by the high-speed sirospun technique.Both integration and flexibility are significantly improved over previous works.Combining sirospun conductive yarn(SSCY)and the intarsia technique can provide the SSCY seamless and convenient embedded knitted circuit(SSCY-EKC)to form a full textile electrical element as the channel of power and signals transmission,allowing for a stable resistance change and wide strain range for meeting practical applications.SSCY based on the triboelectric nanogenerator(SSCY-TENG)can be designed as a caution carpet with attractive design and good washability for a self-powered sensor that recognizes human motions.Furthermore,intrinsic textile properties such as washability,softness,and comfort remained.With benefits such as excellent extension,fitting,and stretchability,the SSCY-EKC used herein can realize a fully flexible electrical textile with a high potential for physical detection,body gesture recognition,apparel fashion,and decoration.

关键词： Sirospun technique Embedded knitted circuit Intarsia technique Stretchable Wearable devices

Encrypted Finite-Horizon Energy-to-Peak State Estimation for Time-Varying Systems Under Eavesdropping Attacks: Tackling Secrecy Capacity

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IEEE/CAA Journal of Automatica Sinica 2023年第4期10卷 985-996页

作者： Lei Zou Zidong Wang Bo Shen Hongli Dong Guoping Lu College of Information Science and technology Donghua UniversityShanghai 201620 engineering research center of digitalized textile and fashion technology Ministry of EducationShanghai 201620China College of Electrical engineering and Automation Shandong University of Science and TechnologyQingdao 266590China Department of Computer Science Brunel University LondonUxbridgeMiddlesex UB83PHUK Intelligence Energy research Institute Northeast Petroleum UniversityDaqing 163318 Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control Northeast Petroleum UniversityDaqing 163318 Sanya Offshore Oil&Gas research Institute Northeast Petroleum UniversitySanya 572024China School of Electrical engineering Nantong UniversityNantong 226019China

This paper is concerned with the problem of finitehorizon energy-to-peak state estimation for a class of networked linear time-varying systems.Due to the inherent vulnerability of network-based communication,the measurement signals transmitted over a communication network might be intercepted by potential eavesdroppers.To avoid information leakage,by resorting to an artificial-noise-assisted method,we develop a novel encryption-decryption scheme to ensure that the transmitted signal is composed of the raw measurement and an artificial-noise term.A special evaluation index named secrecy capacity is employed to assess the information security of signal transmissions under the developed encryption-decryption scheme.The purpose of the addressed problem is to design an encryptiondecryption scheme and a state estimator such that:1)the desired secrecy capacity is ensured;and 2)the required finite-horizon–l_(2)-l_(∞)performance is achieved.Sufficient conditions are established on the existence of the encryption-decryption mechanism and the finite-horizon state estimator.Finally,simulation results are proposed to show the effectiveness of our proposed encryption-decryption-based state estimation scheme.

关键词： Artificial-noise-assisted technique eavesdropping encryption-decryption scheme energy-to-peak state estimation finitehorizon state estimation

Improved Spectral Clustering Clothing Image Segmentation Algorithm Based on Sparrow Search Algorithm

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Journal of Donghua University(English Edition) 2022年第4期39卷 340-344页

作者：黄文谙钱素琴 College of Information Science and technology Donghua UniversityShanghai 201620China engineering research center of Digitized textile&fashion technology Ministry of EducationDonghua UniversityShanghai 201620China

In the process of clothing image researching,how to segment the clothing quickly and accurately and retain the clothing style details as much as possible is the basis of subsequent image analysis.Spectral clustering clothing image segmentation algorithm is a common method in the process of clothing image extraction.However,the traditional model requires high computing power and is easily affected by the initial center of clustering.It often falls into local optimization.Aiming at the above two points,an improved spectral clustering clothing image segmentation algorithm is proposed in this paper.The Nystrom approximation strategy is introduced into the spectral mapping process to reduce the computational complexity.In the clustering stage,this algorithm uses the global optimization advantage of the particle swarm optimization algorithm and selects the sparrow search algorithm to search the optimal initial clustering point,to effectively avoid the occurrence of local optimization.In the end,the effectiveness of this algorithm is verified on clothing images in each environment.

关键词： clothing segmentation spectral clustering particle swarm optimization algorithm intelligent fashion design

Recursive Filtering for Nonlinear Systems With Self-Interferences Over Full-Duplex Relay Networks

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IEEE/CAA Journal of Automatica Sinica 2022年第11期9卷 2037-2040页

作者： Hailong Tan Bo Shen Qi Li Wei Qian the School of Mathematics-Physics and Finance Anhui Polytechnic UniversityWuhu 241000 the Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment Ministry of EducationAnhui Polytechnic UniversityWuhu 241000China IEEE the College of Information Science and technology Donghua UniversityShanghai 201620 the engineering research center of digitalized textile and fashion technology Ministry of EducationShanghai 201620China the School of Information Science and engineering Hangzhou Normal UniversityHangzhou 311121China the School of Electrical engineering and Automation Henan Polytechnic UniversityJiaozuo 454000China

Dear Editor,In this paper,a recursive filtering problem(RRP)is addressed for nonlinear systems over full-duplex relay(FDR)networks.A FDR is adopted to forward measurements of the sensor to the filter.Because of concurrently transmitting and receiving,the FDR is interfered by the signals from itself,thereby exhibiting self-interference(SI).

关键词： thereby Nonlinear filtering

Stretchable nanogenerators for scavenging mechanical energy

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Nano research 2023年第9期16卷 11682-11697页

作者： Chong Guo Lan Xu Yuan Su Hongwei Li Mei Zhang Ya Yang CAS center for Excellence in Nanoscience Beijing Key Laboratory of Micro-nano Energy and SensorBeijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing 101400China Beijing Key Laboratory of Clothing Materials R&D and Assessment Beijing Engineering Research Center of Textile NanofiberSchool of Materials Design and EngineeringBeijing Institute of Fashion TechnologyBeijing 100029China School of Nanoscience and technology University of Chinese Academy of SciencesBeijing 100049China center on Nanoenergy research School of Physical Science and TechnologyGuangxi UniversityNanning 530004China

Using stretchable nanogenerators to obtain disordered mechanical energy from the environment is an ideal way to realize wearable power supply equipment and self-power electronic devices,and alleviate the energy crisis.It is of great significance to integrate the stretchability into the nanogenerator,which can fit the complex shape of the target object better and is well suitable for wearable electronics.When applied to the human body,it can directly harvest human body mechanical energy to power wearable electronic devices and get rid of the trouble of charging.This paper systematically reviewed nanogenerators in stretchability,focusing on stretchable triboelectric nanogenerators,stretchable piezoelectric nanogenerators,and stretchable hybrid nanogenerators.Their physical mechanism,material selection,structure design,and output performance are discussed in detail.It is concluded that the fabrication methods of various devices can be broadly categorized into the two most important device types,namely fiber-like and planar.A detailed analysis of representative work and the latest progress in the past decade is performed.It is most important that excellent stretchability and high-power output are the key point to realize application value of stretchable nanogenerators.In addition,we discuss opportunities and challenges,as well as future development direction of stretchable nanogenerators.

关键词： stretchable wearable devices triboelectric nanogenerator piezoelectric effect hybrid nanogenerator

Extraction of Feature Points for Non-Uniform Rational B-Splines(NURBS)-Based Modeling of Human Legs

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Journal of Donghua University(English Edition) 2022年第4期39卷 299-303页

作者：王玺吴宗谦李乔 College of Information Science and technology Donghua UniversityShanghai 201620China engineering research center of Digitized textile&fashion technology Ministry of EducationShanghai 201620China College of textiles Donghua UniversityShanghai 201620China

Methods of digital human modeling have been developed and utilized to reflect human shape features.However,most of published works focused on dynamic visualization or fashion design,instead of high-accuracy modeling,which was strongly demanded by medical or rehabilitation scenarios.Prior to a high-accuracy modeling of human legs based on non-uniform rational B-splines(NURBS),the method of extracting the required quasi-grid network of feature points for human legs is presented in this work.Given the 3 D scanned human body,the leg is firstly segmented and put in standardized position.Then re-sampling of the leg is conducted via a set of equidistant cross sections.Through analysis of leg circumferences and circumferential curvature,the characteristic sections of the leg as well as the characteristic points on the sections are then identified according to the human anatomy and shape features.The obtained collection can be arranged to form a grid of data points for knots calculation and high-accuracy shape reconstruction in future work.

关键词： 3D scan digital human modeling non-uniform rational B-splines(NURBS) feature extraction