Research on Potential Fault Early Warning Method of Nose Wheel Steering System of Aircraft by HUANG Shijie, CAI Jing, HE Sheng

“…Firstly,on the basis of analyzing the failure mode of NWS,the monitoring QAR parameters relating to the NWS failure are selected and handled. Secondly,based on the normal and faulty cases of NWS,combined with the operational principle of NWS,the Pearson correlation coefficient analysis method is used to determine the potential failure characteristics of the low correlation between the command value and actual value,so as to realize the detection of potential failure. …”
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Temporal tracking and early warning of multi semantic features of learning behavior by Xiaona Xia, Wanxue Qi

“…Firstly, the multidimensional factors are explored, and the semantic features and relationships are defined. Secondly, based on the complexity and particularity of learning behavior, a multi semantic convolution network prediction model (iCaNN) is designed. …”
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Novel Design and Modeling of a Soft Pneumatic Actuator Based on Antagonism Mechanism by Yinglong Chen, Junhao Zhang, Yongjun Gong

“…The actuator can perform the compound action of elongation/contraction, and the stiffness of it can be controlled by adjusting the elongation and contraction forces. Secondly, based on the deformation principle of woven and elastic fabric layers, the mechanical characteristics model of the actuator is established and simulated. …”
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Robust Adaptive Backstepping Control of Quadrotors With Unknown Input Gains by Jeng-Tze Huang, Yu-Wei Jiang

“…Firstly, the adaptive linearizing control approach is employed for conquering the issues of unknown input gains in both the outer- and inner-loop design steps. Secondly, based on the barrier Lyapunov function (BLF) method, a robust virtual controller is constructed in the intermediate design step for counteracting the coupling nonlinearity and speeding up the convergence at the same time. …”
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Efficient Semantic-based Content Search in P2P Network by Shen, Heng Tao, Shu, Yan Feng, Yu, Bei

“…The framework is based on the novel concept of Hierarchical Summary Structure. Second, based on the framework, we develop our efficient document searching system, by effectively summarizing and maintaining all documents within the network with different granularity. …”
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Variation in forest fire ignition probability in Finland by Larjavaara, Markku, Kuuluvainen, Timo, Tanskanen, Heidi, Venäläinen, Ari

“…First, meteorological data was used in order to estimate the variation in forest fuel moisture content with the model of the Finnish forest fire risk index. Second, based on data from empirical ignition experiments, fuel moisture content was linked with forest fire ignition probability. …”
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The Algorithms of Distributed Learning and Distributed Estimation about Intelligent Wireless Sensor Network by Fuxiao Tan

“…First, based on algebraic graph, three basic theoretical frameworks for distributed learning and distributed parameter estimation of cooperative strategy are surveyed: increment strategy, consensus strategy, and diffusion strategy. Second, based on classical adaptive learning algorithm and online updating law, the implementation process of distributed estimation algorithm and the latest research progress of above three distributed strategies are investigated.…”
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Comparison of gravimetry and dynamic dilution for the generation of reference gas mixtures of CO2 at atmospheric amount fraction by Francesca Rolle, Francesca Durbiano, Stefano Pavarelli, Francesca R. Pennecchi, Michela Sega

“…The production of reference mixtures of known composition is a key step for the achievement of reliable data for the monitoring of greenhouse gases in atmosphere.The present work deals with a comparison of two methods for gas mixtures preparation, the first based on the gravimetric preparation of gas mixtures in high pressure cylinders and the second based on dynamic dilution, for generating gas mixtures at the desired amount fraction online.Reference mixtures of CO2 can be used for the calibration of monitoring sensors, with various applications ranging from environmental monitoring to industrial process control.…”
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Robust facial landmark detection by probability‐guided hourglass network by Jingyan Fan, Jiuzhen Liang, Hao Liu, Zhan Huan, Zhenjie Hou, Xinwen Zhou

“…Firstly, a multi‐scale pre‐processing module is designed to extract features at different scales. Secondly, based on the heatmaps generated by the stacked hourglass network, the coarse localizations are obtained, while the probability maps are generated with local features. …”
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Research on Walking Gait Planning and Simulation of a Novel Hybrid Biped Robot by Peng Sun, Yunfei Gu, Haoyu Mao, Zhao Chen, Yanbiao Li

“…Firstly, the kinematics of the hybrid mechanical leg were analyzed and the applicable relevant models were established. Secondly, based on the preliminary motion requirements, the inverted pendulum model was used to divide the robot walking into three stages for gait planning: mid-step, start and stop. …”
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Regression analysis as an alternative method of determining the Economic Order Quantity and Reorder Point by Dariusz Milewski, Tomasz Wiśniewski

“…The intention of the authors was to find a solution which would allow, on the one hand, to obtain results as close as possible to real parameters and on the other, could be useful for decision makers in companies.With the use of a specially elaborated model, simulations have been conducted for different parameters (value, weight, demand of a commodity, logistics costs) which first proved the importance of the optimization of deliveries to a warehouse. Second, based on the results of these simulation, model regression models have been worked out and used for finding delivery quantities and reorder point. …”
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Embeddable parallel digital image of doubly-fed induction generator by Zheng Yang, Hua Ye, Wei Pei, Chen Zheng, Yuzheng Tang, Yi Wang

“…First, this paper proposes a virtual capacitor equivalent method for induction machine equivalent “T” circuit decoupling; Secondly, based on the principle of data independence and parallelism within the time step, a parallel algorithm for the internal components of DFIG is proposed; Finally, the FPGA-DFIG digital image constructed in this paper is connected to the RT-LAB/power grid, and hardware experiments are carried out under three working conditions: steady state, voltage sag and DC side fault. …”
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Fully Distributed Robust Formation Flying Control of Drones Swarm Based on Minimal Virtual Leader Information by Huanli Gao, Wei Li, He Cai

“…First, the output based adaptive distributed observer is adopted to recover the global flying path vector as well as the coefficients of the minimal polynomial of the system matrix of the virtual leader system for each drone based on neighboring information from the communication network. Second, based on the estimated minimal polynomial of the system matrix of the virtual leader system, an asymptotic internal model is conceived to deal with uncertain system parameters. …”
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Effects of the microstructural uncertainties on the poroelastic and the diffusive properties of mortar by Adrien Socié, Yann Monerie, Frédéric Péralès

“…At first, the proposed model is validated for different cement paste and mortar by comparison to experimental results and micromechanical models. Secondly, based on a literature study, sensitivity and uncertainty analysis have been developed to assess the stochastic predictions of the multi-scale model. …”
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Reactive Power Contribution and Pricing for Restructured Power Industry by Susithra.M, Gnanadass.R

“…Among these methods, the modified power flow electricity tracing method is identified as the best because of its various features. Secondly, based on this Method, the opportunity cost for practical system is determined. …”
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A Full Loading-Based MVDR Beamforming Method by Backward Correction of the Steering Vector and Reconstruction of the Covariance Matrix by Jing Zhou, Changchun Bao

“…Firstly, based on the linear combination, an appropriate full loading matrix was constructed to correct the steering vector of the target source backward. Secondly, based on the spatial sparsity of the sound sources, an appropriate loading matrix was constructed to further suppress interferences. …”
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Metapresentiality: a foundational concept for a critical theory of digital health by Naomar Almeida Filho

“…First, I present the concepts of technique, technology, and technical object, central to the theories of Álvaro Vieira Pinto and Milton Santos. Secondly, based on Luciano Floridi’s philosophy of information, I question the relevance of the dichotomy real-material-concrete vs. digital-virtual-informational as an ontological foundation for concepts of reality, place, and presence, highlighting the notions of virtual reality and extended reality. …”
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1R Pseudo-rigid-body Model of Initially Curved Flexible Beam with End Loaded Moment by Li Yuan, Du Qiuyue

“…The theoretical results are given with example,and are compared with ANSYS simulation to verify the effectiveness of the theory. Secondly,based on the1 R pseudo-rigid-body model（ PRBM） of the straight beam subjected to the moment,the 1 R PRBM of the initially curved flexible beam subjected to the moment is firstly developed and is compared with the theoretical results to verify its effectiveness. …”
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Research on power quality disturbance analysis and identification based on LSTM by Qian Wang, Xue Liang, Sichen Qin

“…Firstly, the random single electric energy signal is spliced into a large signal to form a continuous electric energy signal sequence. Secondly, based on the existing neural network, an LSTM model suitable for PQD classification is constructed, and then the spliced large signals are used as input to train and optimize the model. …”
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Optimal deployment of swarm positions in cooperative interception of multiple UAV swarms by Chengcai Wang, Ao Wu, Yueqi Hou, Xiaolong Liang, Luo Xu, Xiaomo Wang

“…Firstly, from the view of the attackers breaking through the interception line, the situations of vertical penetration and oblique penetration are analyzed respectively, and the mathematical models of penetration zones are obtained under the condition of a single UAV swarm and multiple UAV swarms. Secondly, based on the optimization goal of minimizing the penetration area, the optimal deployment optimization model for swarm positions is proposed, and the analytical solution of the optimal deployment is solved by using the convex programming theory. …”
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