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Preparation of a wearable K-PAN@CuS composite fabric with excellent photothermal/electrothermal properties

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Frontiers of Materials Science 2023年第4期17卷 65-79页

作者： Jintao zhang qi zhang Wei Pan Yu qi Yajie qin Zebo Wang Jiarui Zhao International Joint Laboratory of New Textile Materials and Textiles of Henan Province Zhongyuan University of TechnologyZhengzhou 450007China Huanghe Science and Technology College Zhengzhou 450006China School of Materials and Chemical Engineering Zhongyuan University of TechnologyZhengzhou 451191China College of Textiles Zhongyuan University of TechnologyZhengzhou 451191China

Electrospun nanofibers with highly efficient photothermal/electrothermal performance are extremely popular because of their great potential in wearable ***,the lack of necessary wearable properties such as high mechanical strength and quick response of electrospun micro/nanofibers seriously affects their practical *** this work,a technical route combining electrospinning and surface modification technology is *** 3-triethoxysilylpropylamine-polyacrylonitrile@copper sulfide(K-PAN@CuS)composite fabric was achieved by modifying the original electrospinning PAN fiber and subsequently loading CuS *** results show that the break strength of the K-PAN@CuS fabric was increased by 10 times compared to that of the original PAN@CuS ***,the saturated temperature of the K-PAN@CuS fabric heater could reach 116℃within 15 s at a relatively low voltage of 3 V and 120.3℃within 10 s under an infrared therapy lamp(100 W).In addition,due to its excellent conductivity,such a unique structural design enables the fiber to be closely attached to the human skin and helps to monitor human *** K-PAN@CuS fabric shows great potential in wearable heaters,hyperthermia,all-weather thermal management,and in vitro physical therapy.

关键词： electrospinning strain sensor electrothermal/photothermal conversion CuS wearable fabric

Highly efficient and selective CO2 electro-reduction with atomic Fe-C-N hybrid coordination on porous carbon nematosphere

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Nano Research 2019年第9期12卷 2318-2323页

作者： Haixia Zhong Fanlu Meng qi zhang Kaihua Liu Xinbo zhang State Key Laboratory of Rare Earth Resource Utilization Changchun Institute cf Applied ChemistryChinese Academy of SciencesChangchun 130022China Key Laboratory of Automobile Materials Ministry of Education and College of Materials Science and EngineeringJilin UniversityChangchun 130012China

Carbon dioxide reduction(CO2RR)has become a promising way to address the energy and environmental crisis,of which the fundamental development of the optimal electrocatalysts is the crucial ***,we develop Fe and N doping porous carb on n ematosphere(FeNPCN)as an excellent CO2RR electrocatalyst in aqueous *** with the high conductivity,pore structure and abundant Fe and N doping,FeNPCN exhibits high catalytic activity with a high faradaic selectivity of CO(94%)and long-term ***,the ratio of CO and H2 can be changed by the applied potential for the different syngas related *** functional theory(DFT)calculation results also reveal that the excellent catalytic activity is likely attributed to C and N hybrid coordination with atomic Fe.

关键词： carbon dioxide reducti on electrocatalysis porous carbon carb on mon oxide metal/nitrogen dopi ng

Thermal Efficiency Optimization of a Ground Source Heat Pump System by Assistant Preheating/Precooling: A Case Study on a Heating-Load Dominated Building

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Journal of Thermal Science 2022年第6期31卷 1948-1958页

作者： LUO Jin zhang qi PRIESS Anna ROHN Joachim Faculty of Engineering China University of Geosciences(Wuhan)Wuhan 430074China GeoZentrum Nordbayern University of Erlangen-NürnbergSchlossgarten 591054 ErlangenGermany

Operation strategies of Ground Source Heat Pump System(GSHPS) such as continuous or intermittent approaches have been extensively studied. In this work, a novel strategy was proposed to maximize the energy efficiency of GSHPS. In this approach, the buildings was first air-conditioned by the preheating/precooling mode and the rest thermal load was covered by the heat pump(HP) mode. The system performance can then be optimized by considering the combination of these two operating modes. A case study was made to examine the thermal performance of a GSHPS installed in Nuremberg, Germany. Thermal performance of the HP and the preheating/precooling operating modes was examined. The system was optimized by deploying the assistant preheating/precooling approach and over one-year period monitoring showed that the seasonal Coefficient of Performance(COP) of the GSHPS was 4.12 in winter and 5.01 in summer. These COP values are higher than that of the conventional GSHPS. Thus, this proposed strategy could be an efficient way to improve the thermal performance of GSHPS.

关键词： ground source heat pump system ground-air heat exchanger ground temperature response preheating and precooling

Degradation data-driven approach for remaining useful life estimation

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Journal of Systems Engineering and Electronics 2013年第1期24卷 173-182页

作者： Zhiliang Fan Guangbin Liu Xiaosheng Si qi zhang qinghua zhang Department of Automation The Second Artillery Engineering University Department of Automation Tsinghua University Guangdong University of Petrochemical Technology

Remaining useful life （RUL） estimation is termed as one of the key issues in prognostics and health management （PHM）. To achieve RUL estimation for individual equipment, we present a degradation data-driven RUL estimation approach under the collaboration between Bayesian updating and expectation maximization （EM） algorithm. Firstly, we utilize an exponential-like degradation model to describe equipment degradation process and update stochastic parameters in the model via Bayesian approach. Based on the Bayesian updating results, both probability distribution of the RUL and its point estimation can be derived. Secondly, based on the monitored degradation data to date, we give a parameter estimation approach for non-stochastic parameters in the degradation model and prove that the obtained estimation is unique and optimal in each iteration. Finally, a numerical example and a practical case study for global positioning system （GPS） receiver are provided to show that the presented approach can model degradation process and achieve RUL estimation effectively and generate better results than a previously reported approach in literature.

关键词： reliability degradation remaining useful life (RUL) prognostics global positioning system (GPS).

An analytical simulation technique for cone-beam CT and pinhole SPECT

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Nuclear Science and Techniques 2011年第6期22卷 338-343页

作者： zhang Xuezhu qi Yuj in Shanghai Institute of Applied Physics Chinese Academy of Sciences Shanghai 201800 China

This study was aimed at developing an efficient simulation technique with an ordinary *** work involved derivation of mathematical operators,analytic phantom generations,and effective analytical projectors developing for cone-beam CT and pinhole SPECT *** computer simulations based on the analytical projectors were developed by ray-tracing method for cone-beam CT and voxel-driven method for pinhole SPECT of degrading *** 3D Shepp-Logan,Jaszczak and Defrise phantoms were used for simulation evaluations and image *** reconstructed phantom images were of good accuracy with the *** results showed that the analytical simulation technique is an efficient tool for studying cone-beam CT and pinhole SPECT imaging.

关键词：锥束CT 仿真技术 SPE 针孔 CT分析射线追踪方法模拟技术 CT成像

Robot learning from demonstration for path planning: A review

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Science China(Technological Sciences) 2020年第8期63卷 1325-1334页

作者： XIE ZongWu zhang qi JIANG ZaiNan LIU Hong State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150001China

Learning from demonstration(LfD)is an appealing method of helping robots learn new *** papers have presented methods of LfD with good performance in ***,complicated robot tasks that need to carefully regulate path planning strategies remain *** or non-contact constraints in specific robot tasks make the path planning problem more difficult,as the interaction between the robot and the environment is *** this paper,we focus on the path planning of complex robot tasks in the domain of LfD and give a novel perspective for classifying imitation learning and inverse reinforcement *** classification is based on constraints and obstacle ***,we summarize these methods and present promising directions for robot application and LfD theory.

关键词： learning from demonstration path planning imitation learning inverse reinforcement learning obstacle avoidance

A Satellite Communication System Transmission Scheme Based on Probabilistic Shaping

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China Communications 2019年第10期16卷 226-233页

作者： Wei zhang Xia Sheng Xishuo Wang qi zhang Science and Technology on Information Systems Engineering Laboratory National University of Defense TechnologyFuyuan road NO. 1Changsha410000China China Academy of Space Technology (CAST) Beijing 100094China School of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Beijing Key Laboratory of Space-Ground Interconnection and Convergence Beijing University of Posts and TelecommunicationsBeijing 100876China State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and TelecommunicationsBeijing 100876China

In this paper, A transmission scheme based on probabilistic shaping applied to satellite communication systems is proposed. 16QAM is taken as an example to establish a 1GBaud ROF experimental system working in Ka-band. The experiment results show that the PS-16QAM signal has better performance in terms of bit error rate than the uniform 16QAM, and its performance is close to the uniform 8QAM scheme.

关键词： probabilistic shaping satellite communication Ka-band

Preparation and heat insulating capacity of Sm2Zr2O7-SiC composites based on photon thermal transport

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Journal of Advanced Ceramics 2020年第4期9卷 454-461页

作者： Zhuang Ma qi zhang Ling Liu Yanbo Liu School of Materials Science and Engineering Beijing Institute of TechnologyBeijing100081China Beijing Institute of Technology Chongqing Innovation Center Chongqing401120China

A series of Sm2Zr2O7-SiC composites doped with different volume fraction and particle size of SiC were prepared by hot pressing at 1300°*** phase of the composites prepared is P-Sm2Zr2O7 and C-SiC,and no other diffraction peaks exist,which indicates that Sm2Zr2O7 has great chemical compatibility with *** thermal conductivity and phonon thermal conductivity of the Sm2Zr2O7-SiC composites are measured by the laser pulse *** photon thermal conductivity of the composites is obtained by subtracting the phonon thermal conductivity from the total thermal *** results show that the photon thermal conductivity of Sm2Zr2O7-SiC composites is lower than that of pure *** photon thermal conductivity of Sm2Zr2O7-SiC composites decreases first and then increases with the increase of SiC particle ***2Zr2O7-(5 vol%,10µm)SiC composite has the lowest photon thermal conductivity.

关键词： rare-earth zirconates thermal conductivity photon thermal transport

Multi-stage online task assignment driven by offline data under spatio-temporal crowdsourcing

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Digital Communications and Networks 2022年第4期8卷 516-530页

作者： qi zhang Yingjie Wang Zhipeng Cai Xiangrong Tong The School of Computer and Control Engineering Yantai UniversityYantai264005China Yantai Key Laboratory of High-end Ocean Engineering Equipment and Intelligent Technology Yantai264005China The Department of Computer Science Georgia State UniversityAtlantaGA30303USA

In the era of the Internet of Things(IoT),the crowdsourcing process is driven by data collected by devices that interact with each other and with the physical *** a part of the IoT ecosystem,task assignment has become an important goal of the research *** task assignment algorithms can be categorized as offline(performs better with datasets but struggles to achieve good real-life results)or online(works well with real-life input but is difficult to optimize regarding in-depth assignments).This paper proposes a Cross-regional Online Task(CROT)assignment problem based on the online assignment *** the CROT problem,an Online Task Assignment across Regions based on Prediction(OTARP)algorithm is *** is a two-stage graphics-driven bilateral assignment strategy that uses edge cloud and graph embedding to complete task *** first stage uses historical data to make offline predictions,with a graph-driven method for offline bipartite graph *** second stage uses a bipartite graph to complete the online task assignment *** paper proposes accelerating the task assignment process through multiple assignment rounds and optimizing the process by combining offline guidance and online assignment *** encourage crowd workers to complete crowd tasks across regions,an incentive strategy is designed to encourage crowd workers’*** avoid the idle problem in the process of crowd worker movement,a drop-by-rider problem is used to help crowd workers accept more crowd tasks,optimize the number of assignments,and increase ***,through comparison experiments on real datasets,the performance of the proposed algorithm on crowd worker utility value and the matching number is evaluated.

关键词： Spatiotemporal crowdsourcing Cross-regional Edge cloud Offline prediction Oline task assignment