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Teleportation with Tripartite Entangled State via Thermal Cavity

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Communications in Theoretical Physics 2006年第2X期46卷 225-228页

作者： XUE Zheng-Yuan yi You-Min cao Zhuo-Liang School of Physics and Material Science Anhui University Hefei 230039 China

Teleportation schemes with a tripartite entangled state in cavity QED are investigated. The schemes do not need Bell state measurements and the successful probabilities reach optimality. In addition, the schemes are insensitive to both the cavity decay and the thermal field. We first consider two teleportation schemes via a tripartite GHZ state. The first one is a controlled one for an unknown single-qubit state. The second scheme is teleportation of unknown two-atom entangled state. Then we consider teleporting of single-qubit arbitrary state via a tripartite W state.

关键词： teleportation tripartite entangled state cavity QED

Teleportation of Multipartite State via W State

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Communications in Theoretical Physics 2006年第3期45卷 433-436页

作者： XUE Zheng-Yuan yi You-Min cao Zhuo-Liang Anhui Key Laboratory of Information Material ＆ Devices School of Physics ＆ Material Science Anhui University Hcfci230039 China

A scheme of teleporting a multi-particle state via W state is presented. The W class states serve as quantum channels. After the sender operates both Von Neumann measurements and Bell-state measurements and then inform the receiver her results, the receiver can reconstruct the original state by corresponding unitary transformation. The probability of successful teleportation is also obtained. Special example of four-particle state is discussed in detail.

关键词： teleportation multipartite state W state Bell-state measurement

SOFC temperature evaluation based on an adaptive fuzzy controller

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2008年第5期9卷 688-694页

作者： Xiao-juan WU Xin-jian ZHU Guang-yi cao Heng-yong TU Institute of Fuel Cell Department of Automation Shanghai Jiao Tong University Shanghai 200030 China

The operating temperature of a solid oxide fuel cell (SOFC) stack is a very important parameter to be controlled, which impacts the performance of the SOFC due to thermal cycling. In this paper, an adaptive fuzzy control method based on an affine nonlinear temperature model is developed to control the temperature of the SOFC within a specified range. Fuzzy logic systems are used to approximate nonlinear functions in the SOFC system and an adaptive technique is employed to construct the controller. Compared with the traditional fuzzy and proportion-integral-derivative (PID) control, the simulation results show that the designed adaptive fuzzy control method performed much better. So it is feasible to build an adaptive fuzzy controller for temperature control of the SOFC.

关键词： Solid oxide fuel cell (SOFC) Temperature control Adaptive fuzzy controller Affine temperature model

Quantum Teleportation of Tripartite Arbitrary State via W State

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Communications in Theoretical Physics 2005年第6X期44卷 1021-1024页

作者： XUE Zheng-Yuan yi You-Min cao Zhuo-Liang Anhui Key Laboratory of Information Material & Devices School of Physics & Material Science Anhui University Hefei 230039 China

A scheme of teleportation of a tripartite state via W state is suggested. The W state serves as quantum channels. Standard Bell-state measurements and Von Neumann measurements are performed. After the sender operates the measurements and informs the receiver her results, he can reconstruct the original state by the corresponding unitary transformation. The probability of the successful teleportation is also obtained.

关键词： teleportation entanglement W state unitary transformation

Robust design and optimization for autonomous PV-wind hybrid power systems

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2008年第3期9卷 401-409页

作者： Jun-hai SHI Zhi-dan ZHONG Xin-jian ZHU Guang-yi cao Institute of Fuel Cells Shanghai Jiao Tong University Shanghai 200240 China

This study presents a robust design method for autonomous photovoltaic (PV)-wind hybrid power systems to obtain an optimum system configuration insensitive to design variable variations. This issue has been formulated as a constraint multi-objective optimization problem, which is solved by a multi-objective genetic algorithm, NSGA-II. Monte Carlo Simulation (MCS) method, combined with Latin Hypercube Sampling (LHS), is applied to evaluate the stochastic system performance. The potential of the proposed method has been demonstrated by a conceptual system design. A comparative study between the proposed robust method and the deterministic method presented in literature has been conducted. The results indicate that the proposed method can find a large mount of Pareto optimal system configurations with better compromising performance than the deterministic method. The trade-off information may be derived by a systematical comparison of these configurations. The proposed robust design method should be useful for hybrid power systems that require both optimality and robustness.

关键词： PV-wind power system Robust design Constraint multi-objective optimizations Multi-objective genetic algorithms Monte Carlo Simulation (MCS) Latin Hypercube Sampling (LHS)

Rapid nanopatterning technique based on monolayer silica nanosphere close-packing by spin coating

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Science China(Technological Sciences) 2016年第10期59卷 1573-1580页

作者： WANG QuanDai YE Lian WANG Li LI PengYang cao yi LI Yan School of Mechanical and Precision Instrument Engineering Xi'an University of Technology State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Shaanxi Hengtong Intelligent Machine Co.LTD. Xi'an Jiaotong University

Nanoparticles monolayer formation by spin coating is considered to be a simple, fast and inexpensive nanopatteming technique However, the parameters that govern the overall growth process in this technique are not completely quantified and techniques for the controlled and continuous growth of close packed monolayer particle arrays without defects need to be developed. In this paper, an ordered particle array formation process is analyzed theoretically, employing material flux balance and parti- cle-subjected forces balance, based on the film thickness model of spin coating and evaporation rate law. A series of experi- ments were conducted using silica particle suspensions with various particle volume fractions and different spin speeds. The results show that the spin speed should match the particle volume fraction to meet the requirements of material flux and particles movement in order to obtain a close packed monolayer film. The formation mechanism of fabrication defects involving particle agglomeration and uncontrollable voids were analyzed qualitatively based on crystal growth theory, and validation experiments were performed. The formation of highly uniform close-packed monolayer films was demonstrated and the condi- tion requirements for achieving monolayer nanoparticles array with good quality presented.

关键词： monolayer arrangement nanopatterning self-assembly silica nanoparticle spin coating

Feasible Teleportation Schemes with Five-Atom Entangled State

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Communications in Theoretical Physics 2006年第1期45卷 83-86页

作者： XUE Zheng-Yuan yi You-Min cao Zhuo-Liang School of Physics ＆ Material Science Anhui University Hefei 230039 China

Teleportation schemes with a five-atom entangled state are investigated. In the teleportation scheme Bell state measurements （BSMs） are difficult for physical realization, so we investigate another strategy using separate measurements instead of BSM based on cavity quantum electrodynamics techniques. The scheme of two-atom entangled state teleportation is a controlled and probabilistic one. For the teleportation of the three-atom entangled state, the scheme is a probabilistic one. The fidelity and the probability of the successful teleportation are also obtained.

关键词： quantum teleportation entangled atomic states CQED feasible

Spatio-Temporal Wind Speed Prediction Based on Variational Mode Decomposition

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Computer Systems Science & Engineering 2022年第11期43卷 719-735页

作者： yingnan Zhao Guanlan Ji Fei Chen Peiyuan Ji yi cao School of Computer and Science Nanjing University of Information Science and TechnologyNanjing210044China Department of Electrical and Computer Engineering University of WindsorWindsorN9B 3P4Canada

Improving short-term wind speed prediction accuracy and stability remains a challenge for wind forecasting *** paper proposes a new variational mode decomposition(VMD)-attention-based spatio-temporal network(VASTN)method that takes advantage of both temporal and spatial correlations of wind ***,VASTN is a hybrid wind speed prediction model that combines VMD,squeeze-and-excitation network(SENet),and attention mechanism(AM)-based bidirectional long short-term memory(BiLSTM).VASTN initially employs VMD to decompose the wind speed matrix into a series of intrinsic mode functions(IMF).Then,to extract the spatial features at the bottom of the model,each IMF employs an improved convolutional neural network algorithm based on channel AM,also known as ***,it combines BiLSTM and AM at the top layer to extract aggregated spatial features and capture temporal ***,VASTN accumulates the predictions of each IMF to obtain the predicted wind *** method employs VMD to reduce the randomness and instability of the original data before employing AM to improve prediction accuracy through mapping weight and parameter *** results on real-world data demonstrate VASTN’s superiority over previous related algorithms.

关键词： Short-term wind speed prediction variational mode decomposition attention mechanism SENet BiLSTM

Real-time Safety Helmet-wearing Detection Based on Improved YOLOv5

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Computer Systems Science & Engineering 2022年第12期43卷 1219-1230页

作者： Yanman Li Jun Zhang Yang Hu yingnan Zhao yi cao NARI Nanjing Control System Ltd. Nanjing210032China School of Computer Nanjing University of Information Science&TechnologyNanjing210044China Department of Electrical and computer Engineering University of WindsorWindsorN9B 3P4Canada

Safety helmet-wearing detection is an essential part of the intelligentmonitoring system. To improve the speed and accuracy of detection, especiallysmall targets and occluded objects, it presents a novel and efficient detectormodel. The underlying core algorithm of this model adopts the YOLOv5 (YouOnly Look Once version 5) network with the best comprehensive detection performance. It is improved by adding an attention mechanism, a CIoU (CompleteIntersection Over Union) Loss function, and the Mish activation function. First,it applies the attention mechanism in the feature extraction. The network can learnthe weight of each channel independently and enhance the information dissemination between features. Second, it adopts CIoU loss function to achieve accuratebounding box regression. Third, it utilizes Mish activation function to improvedetection accuracy and generalization ability. It builds a safety helmet-wearingdetection data set containing more than 10,000 images collected from the Internetfor preprocessing. On the self-made helmet wearing test data set, the averageaccuracy of the helmet detection of the proposed algorithm is 96.7%, which is1.9% higher than that of the YOLOv5 algorithm. It meets the accuracy requirements of the helmet-wearing detection under construction scenarios.

关键词： Safety helmet wearing detection object detection deep learning YOLOv5 Attention Mechanism