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Photoluminescence and Ce^(3+)→Tb^(3+)→Eu^(3+) Energy Transfer Processes of the Ce^(3+)/Tb^(3+)/Eu^(3+)-doped β-NaYF_(4) Phosphors with Broadened Excitation Spectrum

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Journal of Wuhan University of Technology(Materials Science) 2021年第1期36卷 33-43页

作者： HUANG Jianhua CHEN Nan WANG Xiaojing DU Guoping ZHANG Aisheng School of Materials Science and Engineering Nanchang UniversityNanchang 330031China Hunan Engineering Laboratory for Control and Optimization of PV Systems Hunan Vocational Institute of TechnologyXiangtan 411104China

Ce^(3+)/Tb^(3+) co-doped and Ce^(3+)/Tb^(3+)/Eu^(3+) tri-doped β-NaYF_(4) photoluminescent microcrystals using oleic acid as surfactant were synthesized using the solvothermal *** microstructural characteristics and photoluminescence properties were investigated in *** have the shape of hexagonal prism bipyramids with uniform particle size,which decreases with the concentrations of Tb^(3+) and Eu^(3+).The energy transfer processes of both the Ce^(3+)→Tb^(3+) and the Ce^(3+)→Tb^(3+)→Eu^(3+) were systematically *** with Eu^(3+) or Tb^(3+) single-doped β-NaYF_(4) microcrystals,the sensitization by Ce^(3+) for the photoluminescence of Tb^(3+) and Eu^(3+) leads to a broad excitation spectral bandwidth in the ultraviolet (UV) ***,the corresponding optical absorption efficiency is greatly *** energy transfer efficiencies have been observed from Ce^(3+) to Tb^(3+) and from Tb^(3+) to Eu^(3+).

关键词： lanthanide dopedβ-NaYF_(4) photoluminescence energy transfer broad excitation spectrum solvothermal method

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Construction of Carbon Emission Model of Building Energy System Based on Big Data 5

Construction of Carbon Emission Model of Building Energy Sys...

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5th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2021

作者： Zhan, Yaofeng Liao, Huijuan Hunan Engineering Laboratory for Control and Optimization of PV Systems Hunan Xiangtan411104 China Hunan Vocational Institute of Technology Hunan Xiangtan411104 China

ISBN: (纸本)9781665435246

As the infrastructure of urban buildings, the building energy system is an important source of building energy consumption and carbon emissions. With the promotion of national energy-saving and emission-reduction policies, more and more new energy and renewable energy utilization technologies are put into use in the construction field. The degree of impact of these technologies on the environment from the perspective of global warming requires a reasonable evaluation. Based on big data, this paper studies the construction of the carbon emission model of the building energy system based on big data, and optimizes the calculation accuracy of carbon emission. © 2021 IEEE.

关键词： Big data

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Construction of Carbon Emission Model of Building Energy System Based on Big Data

Construction of Carbon Emission Model of Building Energy Sys...

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International conference of Electronics, Communication and Aerospace Technology (ICECA)

作者： Yaofeng Zhan Huijuan Liao Hunan Engineering Laboratory for control and optimization of PV systems Xiangtan Hunan China Hunan vocational institute of technology Xiangtan Hunan China

ISBN: (纸本)9781665435253

关键词： Analytical models Renewable energy sources Energy consumption Architecture Buildings Carbon dioxide Big Data

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Face detection method for public safety surveillance based on convex

Face detection method for public safety surveillance based o...

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作者： Wu, Jianhui Huang, Feng Hu, Wenjing He, Wei Bing, Tu Guo, Longyuan Ou, Xianfeng Key Laboratory of Optimization and Control for Complex Systems College of Information and Communication Engineering China Research Center for Heterogeneous Computing and It's Application Hunan Institute of Science ATechnology. Hunan Province Yueyang414006 China

Face dejection Is very important in video surveillance of public safely. This paper proposed a face dejection method based on the best optimization convex grouping to detect the face regions from different face shape images at actual conditions. Firstly, the basic principle of convex grouping was discussed, the main rules of convex and the structure of the convex polygons was described. And then the best optimization convex grouping algorithm of the convex polygons was designed. At last, all of the algorithms, which used the best optimization convex grouping to delect the face region on tl∗r data set of MIT single face sample library were tested. This sample library contains positive faces, side faces and other sorts of posture. The experiment result showed that the best optimization convex grouping method could detected the face regions accurately, even if the face postures are positive, side or others, our proposed method was effective, and it was not affected by color and light Compared with other typical algorithms, this proposed method had higher defection accuracy, and it could be used directly without training. Meanwhile, there was a better stability and reliability in the actual processing, which could satisfy the requirements of practical application. © 2018 CRL Publishing. All rights reserved.

关键词： Face recognition

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An improved clustering algorithm for wireless sensor networks

An improved clustering algorithm for wireless sensor network...

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2014 International Conference on Materials Science and Computational engineering, ICMSCE 2014

作者： Zhou, Xi Yi Liu, Li Qiang Zhang, Ge School of Information and Communication Engineering Hunan Institute of Science and Technology Yueyang 414006 China Key Laboratory of Optimization and Control for Complex Systems College of Hunan Province Yueyang 414006 China

ISBN: (纸本)9783038350996

An on-demand weighed clustering algorithm is proposed against the limitation of wireless sensor network nodes with limited energy. This algorithm obtains more local network information by means of information interaction between nodes, and by comprehensively considering such factors as the current energy value, degree and transmission power, etc. of nodes, it makes different clustering decisions as per different application backgrounds of networks. Simulation results show that this algorithm has a more rational clustering by reducing energy consumption and lengthening network lifetime, compared to Low Energy Adaptive Clustering Hierarchy, a representative clustering algorithm. © (2014) Trans Tech Publications, Switzerland.

关键词： Clustering algorithms

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Research on mud pulse signal extraction and recognition algorithm in MWD

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Energy Education Science and Technology Part A: Energy Science and Research 2014年第3期32卷 1889-1902页

作者： Tu, Bing Zhang, Xiaofei Zhan, Tengxi Zhang, Wei Hunan Institute of Science and Technology School of Information and Communication Engineering Yueyang 414006 China College of Hunan Province Key Laboratory of Optimization and Control for Complex Systems Yueyang 414006 China

Mud pulse signal extracting in Wireless measure while drilling (MWD) was a core technology in the process of oil drilling development. Whether the resolution of detected mud pulse signal start point location is accurate or not in ground decoding system would directly affect the accurate level of decoding. For the resolution problems of mud pulse signal start time position, this paper analyzed the transmission format of Manchester coded down-hole datum and transmission characteristics of mud pulse signal, using a wavelet multi-scale and related de-noising algorithm to extract mud pulse signal. According to the characteristics of the Manchester coded underground synchronization signal, It proposed an algorithm based on the combination of equal segmentations within a signal period and waveform correlation to accurately define the mud pulse signal starting time. After extracting the start time position, establishing the pulse signal recognition model within two cycles and using a pattern recognition algorithm to recognize mud pulse signal. The field tests show that the algorithm can accurately define the mud pulse signal starting time and can effectively improve the decoding accuracy and meet the requirements of engineering applications. © Sila Science. All rights reserved.

关键词： Pattern recognition

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An image segmentation algorithm based on 3-D maximum between-cluster variance

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Journal of Computational Information systems 2013年第15期9卷 6055-6062页

作者： Qi, Qi He, Wei Zhang, Guoyun Yan, Taishan College of Information and Communication Engineering Hunan Institute of Science and Technology Yueyang 414006 China Key Laboratory of Optimization and Control for Complex Systems College of Hunan Province Yueyang 414006 China

A new method of image segmentation based on 3-D maximum between-cluster variance is proposed. The method uses gray distribution information, neighborhood related information and gradient structure information of pixels to construct 3-D observation space. Based on the complementation, competition and redundancy of all information, this algorithm improves the accuracy of segmentation. By applying the segmentation, predator prey particle swarm optimization (PPPSO) is used to search for the best threshold, which can reduce the searching time, and converge to global optimum rapidly. Theoretical analysis and experiment results show the superior performance of the proposed method in terms of segmentation accuracy, computation efficiency and robustness. © 2013 Binary Information Press.

关键词： Image segmentation

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