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Carbonaceous ceramic nanofibrous aerogels for high-temperature thermal superinsulation

Nano Research 2023年第4期16卷 5047-5055页

作者： Shubin Fu Dizhou Liu Yuanpeng Deng Jingran Guo Han Zhao Jian Zhou Pengyu Zhang Hongxuan Yu Shixuan Dang Jianing Zhang Hui Li Xiang Xu Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology and Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of TechnologyHarbin 150090China

Ultralight ceramic aerogels are attractive thermal superinsulating materials,but display a formidable tradeoff between low and high temperature thermal conductivity(κ)due to their low-density *** carbon species as infrared opacifier in ultralight ceramic aerogels can substantially reduce the thermal radiation heat transfer without compromising the ultralow solid ***,the oxidation resistance of embedded carbon species still remains inadequate to prevent thermal etching at high ***,we report a carbonaceous design and synthesis of ceramic nanofibrous aerogels with amorphous carbon embedded in the yttrium-stabilized zircon nanofibers to achieve a high-temperature thermal superinsulating performance with robust thermomechanical *** aerogels display one of the lowestκof 95 mW·m^(−1)·K^(-1)at 1,000℃in air among ultralight material family,as well as robust mechanical flexibility with up to 95%compressive strain,30%non-linear fracture strain,and 99%bending strain,and high thermal stability with ultralow strength degradation less than 1%after sharp thermal shocks(240℃·s^(-1))and working temperature up to 1,200℃.The combined high-temperature thermal superinsulating and thermomechanical properties offer an attractive material system for robust thermal insulation under extreme conditions.

关键词： carbonaceous ceramic aerogels radiation opacification thermal insulation mechanical flexibility thermal stability

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Open World Recognition of Communication Jamming Signals

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China Communications 2023年第6期20卷 199-214页

作者： Yan Tang Zhijin Zhao Jie Chen Shilian Zheng Xueyi Ye Caiyi Lou Xiaoniu Yang School of Communication Engineering Hangzhou Dianzi UniversityHangzhou 310018China Science and Technology on Communication Information Security Control Laboratory Jiaxing 314033China

To improve the recognition ability of communication jamming signals,Siamese Neural Network-based Open World Recognition(SNNOWR)is *** algorithm can recognize known jamming classes,detect new(unknown)jamming classes,and unsupervised cluseter new *** network of SNN-OWR is trained supervised with paired input data consisting of two samples from a known *** the one hand,the network is required to have the ability to distinguish whether two samples are from the same *** the other hand,the latent distribution of known class is forced to approach their own unique Gaussian distribution,which is prepared for the subsequent open set *** the test,the unknown class detection process based on Gaussian probability density function threshold is designed,and an unsupervised clustering algorithm of the unknown jamming is realized by using the prior knowledge of known *** simulation results show that when the jamming-to-noise ratio is more than 0d B,the accuracy of SNN-OWR algorithm for known jamming classes recognition,unknown jamming detection and unsupervised clustering of unknown jamming is about 95%.This indicates that the SNN-OWR algorithm can make the effect of the recognition of unknown jamming be almost the same as that of known jamming.

关键词： communication jamming signals Siamese Neural Network Open World Recognition unsupervised clustering of new jamming type Gaussian probability density function

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Effectiveness of Precursor Emission Reductions for the control of Summertime Ozone and PM2.5 in the Beijing–Tianjin–Hebei Region under Different Meteorological Conditions

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Advances in Atmospheric Sciences 2025年第4期42卷 653-669页

作者： Jing QIAN Hong LIAO Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment TechnologySchool of Environmental Science and EngineeringNanjing University of Information Science&TechnologyNanjing 210044JiangsuChina

We used observed concentrations of air pollutants,reanalyzed meteorological parameters,and results from the Goddard Earth Observing System Chemical Transport Model to examine the relationships between concentrations of maximum daily 8-h average ozone(MDA8 O_(3)),PM_(2.5)(particulate matter with diameter of 2.5μm or less),and PM_(2.5)components and 2-m temperature(T2)or relative humidity(RH),as well as the effectiveness of precursor emission reductions on the control of O_(3) and PM_(2.5) in Beijing–Tianjin–Hebei(BTH)under different summertime temperature and humidity *** observed(simulated)MDA8 O_(3) and PM_(2.5) concentrations increased as T2 went up,with linear trends of 4.8(3.2)ppb℃^(−1) and 1.9(1.5)μg m^(−3)℃^(−1),*** results showed that the decreases in MDA8 O_(3) from precursor emission reductions were more sensitive to T2 than to *** a larger proportion of volatile organic compound(VOC)emissions at higher T2 was more effective for the control of summertime O_(3) in *** the control of summertime PM_(2.5) in BTH,reducing nitrogen oxides(NOx)combined with a small proportion of VOCs was the best *** magnitude of reduction in PM_(2.5) from reducing precursor emissions was more sensitive to RH than to T2,with the best efficiency at high *** from this study are helpful for formulating effective policies to tackle O_(3) and PM_(2.5) pollution in BTH.

关键词： ozone PM_(2.5) emission reductions meteorological conditions

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Mining Sequential Alarm Pattern Based on the Incremental Causality PrefixSpan Algorithm

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2023年第4期4卷 612-623页

作者： Wang, Jing Jia, Ruixue Zhou, Jinglin Zhou, Meng North China University of Technology School of Electrical and Control Engineering Beijing100144 China Beijing University of Chemical Technology College of Information Science and Technology Beijing100029 China

Alarm flood is the main reason of alarm system failure in the modern industry;therefore, it is an important issue to suppress the sequential alarm caused by anomalous propagation in an alarm flood. First, the alarm event is defined with time stamp, and the causal alarm pattern is defined as a closed frequent alarm pattern with a time constraint. An incremental causality PrefixSpan algorithm is proposed to address two objectives simultaneously: 1) effectively mine the causal alarm patterns from the known alarm data and 2) dynamically update them without rescanning the entire database when a new alarm flood occurs. The proposed algorithm is, therefore, particularly suitable for real-time operation. The experiments for the benchmark synthetic dataset and the Tennessee Eastman process are finished to verify the proposed method. © 2020 IEEE.

关键词： Data mining

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The Application of Event-Triggered-Based Model Predictive control for Trajectory Tracking of Quadrotor in Municipal engineering 15th

The Application of Event-Triggered-Based Model Predictive Co...

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15th International Conference on Computer Science and its Applications, CSA 2023 and 17th KIPS International Conference on Ubiquitous information Technologies and Applications, CUTE 2023

作者： Ma, Haochen Shao, Bin Wei, Tianxu Zhao, Jingbo School of Information and Control Engineering Qingdao University of Technology Qingdao China Qingdao University of Technology Qingdao266520 China

ISBN: (纸本)9789819724468

The maintenance of municipal facilities has always been an important public affairs, in order to ensure the smooth traffic and driving safety of the city, it is necessary to carry out regular inspection of the road surface and traffic signs. The use of drone inspection can find problems such as uneven road surface and illegal parking, so as to avoid traffic congestion and accidents. In this paper, a control method based on the combination of model predictive control and event triggering is proposed to control the trajectory tracking of the four-rotor UAV. The control method of model predictive control (MPC) enables the four-rotor UAV to track the preset path well. In addition, the original four-rotor UAV dynamic model is simplified, and the event-triggered control idea designed in this paper solves the problem of excessive consumption of communication resources in model predictive control well, and provides conditions for installing functions such as visual processing and infrared remote sensing on the UAV in subsequent municipal maintenance. The simulation results show that the proposed control scheme can better track the reference trajectory of the quadrotor and reduce the consumption of communication resources. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Trajectories

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Prediction of Air Blower Flow Setpoint in Wastewater Treatment Plants Based on the LSTM Model 15th

Prediction of Air Blower Flow Setpoint in Wastewater Treatme...

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15th International Conference on Computer Science and its Applications, CSA 2023 and 17th KIPS International Conference on Ubiquitous information Technologies and Applications, CUTE 2023

作者： Xu, Jiuzhe Li, Xuefei Liu, Changqing Miao, Sheng School of Information and Control Engineering Qingdao University of Technology Qingdao China School of Environmental and Municipal Engineering Qingdao University of Technology Qingdao China

ISBN: (纸本)9789819724468

Effective wastewater treatment is key to protecting the environment, wastewater treatment plants are responsible for treating domestic sewage in built-up areas. The process of wastewater treatment is a long-term, complex, non-linear reaction, consuming chemicals and electrical energy to satisfy effluent standards. In the Anaerobic-Anoxic-Oxic process, Dissolved Oxygen (DO) needs to be accurately controlled to reduce treatment costs. Air blowers provide oxygen via the aeration system, and DO adjustment by changing the air blower flow setpoint. Most previous studies have considered single variables and linear control, and can not take comprehensive consideration of all effecting parameters. In this study, the Long Short-Term Memory model is used to predict the air blower flow setpoint, taking into account the effects of multiple variables. In addition, the Long Short-Term Memory (LSTM) model has lower Mean Absolute Error (MAE = 21.00), Root Mean Square Error (RMSE = 28.83) and Mean Absolute Percentage Error (MAPE = 0.47%) than the Support Vector Regression (SVR) and Feedforward Neural Networks (FNN). © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Feedforward neural networks

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GrasOpen: Biometric Authentication via Reach-and-Grasp for Smart Door Access Using Smartwatch

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IEEE Internet of Things Journal 2025年第13期12卷 25240-25253页

作者： Ding, Lei Shi, Jiale Wu, Yuan Hu, Xinrong Bi, Hongliang Chen, Yanjiao Wuhan Textile University School of Computer Science and Artificial Intelligence Engineering Research Center of Hubei Province for Clothing Information 430200 China China University of Mining and Technology School of Information and Control Engineering Jiangsu Xuzhou221116 China Zhejiang University College of Electrical Engineering Hangzhou310027 China

In the domain of smart devices, biometric identity authentication has become a leading and crucial technology, mainly because of its improved security and user convenience. Traditional methods frequently depend on complex activities, facial recognition, or passwords, which can be cumbersome and error-prone. This paper presents GrasOpen, an innovative biometric authentication system tailored for door-opening scenarios, utilizing the natural reach-and-grasp motion linked to door handles. The system employs smartwatches with accelerometers and gyroscopes to track and analyze arm movements, ensuring a seamless and intuitive user experience. GrasOpen tackles key challenges by leveraging the unique characteristics of the reach-and-grasp motion, eliminating the necessity for users to remember complex motions, and avoiding redundant actions like waiting for facial recognition. Specifically, GrasOpen initially proposes a lightweight model to discern door-opening actions from daily activities. Then, to realize the robust authentication system, GrasOpen integrates a complementary filter (CF) method to capture diversity-dependent features in door-opening actions. These features are subsequently processed through a modified ConvBoost model for precise user authentication. Experimental results reveal an impressive accuracy of 98.78% for activity recognition and 98.65% for identity authentication, highlighting GrasOpen’s excellence in function and performance. The system’s security and robustness are validated across diverse authentication environments. © 2014 IEEE.

关键词： Biometrics

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Research on Multi-Source Combined Supply System 6

Research on Multi-Source Combined Supply System

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6th IEEE International Conference on Civil Aviation Safety and information technology, ICCASIT 2024

作者： Huang, Yanan Zheng, Haojie Wang, Yulin Liaoning University of Engineering and Technology School of Electrical and Control Engineering Huludao China Changsha University of Science and Technology School of Electrical and Information Engineering Changsha China

ISBN: (纸本)9798350389418

In order to reduce the cost of the power generation system, reduce the rate of system wind and light abandonment, and build a cleaner, safer and more efficient power system, this paper establishes a PV-wind-battery optimal scheduling model with the objective of minimizing the system operating cost, and the system power balance, and the battery SOC range as constraints. The multi-source joint power supply system containing wind power, photovoltaic, energy storage system, and main grid is analyzed in the arithmetic example, and the daily power supply system cost is at least 0.173 million yuan when there is energy storage system participation, and the daily power supply cost is at least 0. 1 7 9 million yuan when there is no energy storage system participation, and the penalty cost of both of them for wind and light abandonment is 0.098 million yuan and 0.115 million yuan. It is proved that the system containing energy storage can effectively reduce the system power supply cost and reduce the rate of wind and light abandonment. © 2024 IEEE.

关键词： multivariate combined power supply system Photovoltaic-wind-battery optimal scheduling model wind and light discard rate

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Quantum walk search algorithm for multi-objective searching with iteration auto-controlling on hypercube

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Chinese Physics B 2022年第4期31卷 157-162页

作者： Yao-Yao Jiang Peng-Cheng Chu Wen-Bin Zhang Hong-Yang Ma School of Science Qingdao University of TechnologyQingdao 266033China School of Information and Control Engineering Qingdao University of TechnologyQingdao 266033China

Shenvi et *** proposed a quantum algorithm based on quantum walking called Shenvi-Kempe-Whaley(SKW)algorithm,but this search algorithm can only search one target state and use a specific search target state ***,when there are more than two target nodes in the search space,the algorithm has certain *** though a multiobjective SKW search algorithm was proposed later,when the number of target nodes is more than two,the SKW search algorithm cannot be mapped to the same quotient *** addition,the calculation of the optimal target state depends on the number of target states *** previous studies,quantum computing and testing algorithms were used to solve this *** these solutions require more Oracle calls and cannot get a high accuracy ***,to solve the above problems,we improve the multi-target quantum walk search algorithm,and construct a controllable quantum walk search algorithm under the condition of unknown number of target *** dividing the Hilbert space into multiple subspaces,the accuracy of the search algorithm is improved from p_(c)=(1/2)-O(1/n)to p_(c)=1-O(1/n).And by adding detection gate phase,the algorithm can stop when the amplitude of the target state becomes the maximum for the first time,and the algorithm can always maintain the optimal number of iterations,so as to reduce the number of unnecessary iterations in the algorithm process and make the number of iterations reach t_(f)=(π/2)(?).

关键词： multi-objective quantum walk search algorithm accurate probability

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Active Magnetic Compensation Based on Parametric Resonance Magnetometer

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Journal of Shanghai Jiaotong university(Science) 2024年第2期29卷 280-289页

作者：郭阳李绍良黄艺明骆曼箬刘华 School of Electronic Information and Electrical Engineering Shanghai Jiao Tong UniversityShanghai 200240China Shanghai Institute of Spacefight Control Technology Shanghai Key Laboratory of Space Intelligent Control TechnologyShanghai Engineer Research Center of InertiaShanghai 201109China

Based on the parametric resonance magnetometer(PRM)theory,this paper establishes an experimen-tal system of *** experimental results are consistent with the theoretical predictions.A PRM has been developed with sensitivity of 0.5 pT/Hz^(1/2),which can detect the magnitude of residual magnetic field;furthermore,a proportion-integration-differentiation(PID)closed-loop magnetic compensation system of the residual magnetic field also has been *** with open-loop compensation,the PID closed-loop compensation reduces the average value of the residual magnetic field in the z-axis direction from 0.0244nT to-0.0023nT,and the mean-square error from 0.2083 nT to 0.0691 *** the same way,the average value of the residual magnetic field in the y-axis direction is reduced from 0.0816nT to-0.0042nT,and the mean-square error from 0.1316nT to 0.0461 *** magnitude of residual magnetic fields in both directions is decreased to the order of picotesla(pT).In addition,based on the signal waveforms of the magnetometer,a method of verifying the effect of magnetic compensation is proposed.

关键词： magnetometer parametric resonance nuclear magnetic resonance gyroscope magnetic compensa-tion proportion-integration-differentiation(PID)

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