mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Identification of reduced-order model for an aeroelastic system from flutter test data

Recently, flutter active control using linear parameter varying (LPV) framework has attracted a lot of attention. LPV control synthesis usually generates controllers that are at least of the same order as the aeroelastic models. Therefore, the reduced-order model is required by synthesis for avoidance of large computation cost and high-order controller. This paper proposes a new procedure for generation of accurate reduced-order linear time-invariant (LTI) models by using system identification from flutter testing data. The proposed approach is in two steps. The well-known poly-reference least squares complex frequency (p-LSCF) algorithm is firstly employed for modal parameter identification from frequency response measurement. After parameter identification, the dominant physical modes are determined by clear stabilization diagrams and clustering technique. In the second step, with prior knowledge of physical poles, the improved frequencydomain maximum likelihood (ML) estimator is presented for building accurate reduced-order model. Before ML estimation, an improved subspace identification considering the poles constraint is also proposed for initializing the iterative procedure. Finally, the performance of the proposed procedure is validated by real flight flutter test data.
Start-up current adaptive control for sensorless high-speed brushless DC motors based on inverse system method and internal mode controller

The start-up current control of the high-speed brushless DC (HS-BLDC) motor is a challenging research topic. To effectively control the start-up current of the sensorless HS-BLDC motor, an adaptive control method is proposed based on the adaptive neural network (ANN) inverse system and the two degrees of freedom (2-DOF) internal model controller (IMC). The HS-BLDC motor is identified by the online least squares support vector machine (OLS-SVM) algorithm to regulate the ANN inverse controller parameters in real time. A pseudo linear system is developed by introducing the constructed real-time inverse system into the original HS-BLDC motor system. Based on the characteristics of the pseudo linear system, an extra closed-loop feedback control strategy based on the 2-DOF IMC is proposed to improve the transient response performance and enhance the stability of the control system. The simulation and experimental results show that the proposed control method is effective and perfect start-up current tracking performance is achieved.
Control techniques of tilt rotor unmanned aerial vehicle systems: A review

The tilt rotor unmanned aerial vehicle (TRUAV) exhibits special application value due to its unique rotor structure. However, varying dynamics and aerodynamic interference caused by tiltable rotors are great technical challenges and key issues for TRUAV's high-powered flight controls, which have attracted the attention of many researchers. This paper outlines the concept of TRUAV and some typical TRUAV platforms while focusing on control techniques. TRUAV structural features, dynamics modeling, and flight control methods are discussed, and major challenges and corresponding developmental tendencies associated with TRUAV flight control are summarized.
Investigation of dynamics of discrete framed structures by a numerical wave-based method and an analytical homogenization approach

In this article, the analytical homogenization method of periodic discrete media (HPDM) and the numerical condensed wave finite element method (CWFEM) are employed to study the longitudinal and transverse vibrations of framed structures. The valid frequency range of the HPDM is re-evaluated using the wave propagation feature identified by the CWFEM. The relative error of the wavenumber by the HPDM compared to that by the CWFEM is illustrated in functions of frequency and scale ratio. A parametric study on the thickness of the structure is carried out where the dispersion relation and the relative error are given for three different thicknesses. The dynamics of a finite structure such as natural frequency and forced response are also investigated using the HPDM and the CWFEM.
Hysteresis and the nonlinear equivalent piezoelectric coefficient of MFCs for actuation

The hysteretic behavior and nonlinearity of the equivalent material coefficient of macro fiber composites (MFC) under staircase input conditions are investigated using the Preisach model. Based on a database of first order reversal curves, formulas are derived to predict the hysteresis of strain output and nonlinearity of the equivalent piezoelectric coefficient of MFCs. Formulae are verified by comparing the predicted strains with the measured strains of three MFC specimens, which are driven by a random sequence of staircase voltage inputs. The coefficients obtained by the formulae and experimentation coincide. Further results indicate that the equivalent piezoelectric strain coefficient depends greatly on the value of drive voltage across the entire input range, and the coefficient is asymmetric across the negative and positive input ranges. Deflection testing of an MFC composite cantilever demonstrates the importance of taking the nonlinearity of the equivalent piezoelectric coefficient into consideration in the application of actuation.
An energy-consistent fracture model for ferroelectrics

The fracture behavior of ferroelectrics has been intensively studied in recent decades, though currently a widely accepted fracture mechanism is still lacking. In this work, enlightened by previous experimental observations that crack propagation in ferroelectrics is always accompanied by domain switching, we propose a micromechanical model in which both crack propagation and domain switching are controlled by energy-based criteria. Both electric energy and mechanical energy can induce domain switching, while only mechanical energy can drive crack propagation. Furthermore, constrained domain switching is considered in this model, leading to the gradient domain switching zone near the crack tip. Analysis results show that stressinduced ferroelastic switching always has a toughening effect as the mechanical energy release rate serves as the driving force for both fracture and domain switching. In comparison, the electric-field-induced switching may have either a toughening or detoughening effect. The proposed model can qualitatively agree with the existing experimental results.
Influence of Island Chains on the Kuroshio Intrusion in the Luzon Strait

By applying a global high-resolution (0.1?) OGCM, the influence of the island chains in the Luzon Strait (LS) on the Kuroshio intrusion is studied systematically. The island chains in the LS are separated into three parts: the south island chain, the middle and north island chain, and Babuyan Island. One control and three sensitivity experiments are conducted by adding these three parts of the topography gradually. From comparisons of the circulation, temperature, and salinity structures, it is found that the south island chain decreases the westward bending of the main Kuroshio path, the middle and north island chain increases the westward bending, and Babuyan Island also increases the westward bending. These results are extremely clear in winter. Dynamic diagnoses suggest that the westward bending increases with an increase in the incidence angle of the Kuroshio and an increase in the Kuroshio east branch transport. Moreover, the middle and north island chain can split the Kuroshio into two parts, the Kuroshio west and east branches, which can be seen clearly in the satellite altimeter maps.
Preface to Special Issue on the International Symposium on Environmental Catalysis (ISEC 2016)

With a growing awareness of pollution and increasing demands for environmental protection, a great deal of effort is being put into the development of catalysts with improved activity for the abatement of pollutants, which are mainly emitted by industrial plants and transport vehicles. Therefore, we organized the International Symposium on Environmental Catalysis (ISEC 2016), one of the post-Satellite Symposia of the 16th International Congress on Catalysis (ICC16), which took place between the 9th and 11th July 2016 at the South-Central University for Nationalities, Wuhan, China. Our objectives were the following: to provide an international forum for the exchange of information, to identify technical problems, and to establish direction for future research by appraising recent technology trends and theoretical investigations into environmental issues.
Adsorption of Co(II) from aqueous solutions by water treatment residuals

A study on the removal of Co(II) from aqueous solutions by water treatment residuals (WTR) was conducted in batch conditions. The sorption process of Co(II) followed pseudosecondorder kinetics, with 30 hr required to reach equilibrium. Using the Langmuir adsorption isotherm model, a relatively high maximum sorption capacity of 17.31 mg/g Co(II) was determined. The adsorption of Co(II) was dependent on pH values and was affected by the ionic strength. Results show that Co(II) adsorption was a spontaneous endothermic process and was favorable at high temperature. Most of the adsorbed Co(II) stayed on the WTR permanently, whereas only small amounts of adsorbed Co(II) were desorbed. The shifting of peaks in FT-IR spectra indicated that Co(II) interacted with the WTR surface through strong covalent bond formation with Fe(Al)-O functional groups. It was concluded thatWTR can be a suitable material from which to develop an efficient adsorbent for the removal of Co(II) from wastewater.
Response of gaseous carbon emissions to low-level salinity increase in tidal marsh ecosystem of the Min River estuary, southeastern China

Although estuarine tidal marshes are important contributors to the emission of greenhouse gases into the atmosphere, the relationship between carbon dioxide (CO_2), methane (CH_4) emission, and environmental factors, with respect to estuarinemarshes, has not been clarified thoroughly. This study investigated the crucial factors controlling the emission of CO_2 and CH_4 from a freshwater marsh and a brackish marsh located in a subtropical estuary in southeastern China, as well as their magnitude. The duration of the study period was November 2013 to October 2014. Relevant to both the field and incubation experiments, the CO_2 and CH_4 emissions from the two marshes showed pronounced seasonal variations. The CO_2 and CH_4 emissions from both marshes demonstrated significant positive correlations with the air/soil temperature (p < 0.01), but negative correlations with the soil electrical conductivity and the pore water/tide water Cl- and SO_4~(2-) (p < 0.01). The results indicate no significant difference in the CO_2 emissions between the freshwater and brackish marshes in the subtropical estuary, whereas there was a difference in the CH_4 emissions between the two sites (p < 0.01). Although future sea-level rise and saltwater intrusion could reduce the CH_4 emissions from the estuarine freshwater marshes, these factors had little effect on the CO_2 emissions with respect to an increase in salinity of less than 5‰. The findings of this study could have important implications for estimating the global warming contributions of estuarine marshes along differing salinity gradients.
多孔YSZ涂层的制备和可磨耗性

采用等离子喷涂方法在Ni718合金表面制备氧化钇稳定氧化锆(YSZ)涂层,通过在YSZ喷涂粉末中分别加入10%, 30%和50 %(质量分数,%)表面包覆TiO_2的聚苯酯材料,涂层平均孔隙率从原来的2. 1%分别提高到12. 3%, 28. 5%和29. 7%,孔隙的平均直径从原来的4. 2 μm分别变为14. 4, 18. 5和25. 4 μm.随着孔隙的增多,涂层的表面洛氏硬度下降,同时涂层在刮磨过程中的摩擦力和摩擦系数下降.当孔隙率由2. 1%上升到30%左右时,涂层在刮磨过程中的磨耗质量上升3倍左右,相对应的转动销质量损失下降约50%.结果表明,孔隙率的提高使得涂层的可磨耗性上升.
穿孔型等离子弧焊接热-力耦合模型优化

K-PAW的焊接过程是等离子电弧对被焊工件热与力的耦合作用.文中基于FLUENT软件,依据流体动力学理论,对穿孔型等离子弧焊接过程熔池、流场和小孔进行了热-力耦合模型分析,提出了随穿孔深度增加,能量和电弧压力二次变化的计算优化模型,使维持小孔壁面稳定的力同时作用在小孔内部和物理边界上,初步实现了穿孔型等离子弧焊接从开始到穿透工件及穿孔后焊接过程的数值模拟.计算结果表明,焊接时间为0. 25 s时,熔池已开始熔化并出现下凹变形,穿孔型等离子弧焊接穿孔时间为2. 15 s,焊接3. 00 s后小孔和熔池达到稳定状态,与试验测得的穿孔时间吻合良好,在穿孔动态过程中穿孔形态吻合良好,熔合线走势基本相同.另外,在平行于焊缝的截面上观察,熔池内部易出现逆时针环流.
Mechanical properties and biocompatibility of polymer infiltrated sodium aluminum silicate restorative composites

A new type of polymer-infiltrated-ceramic-network composites (PICNs) was fabricated by infiltrating methacrylate-based monomers into partially sintered porous ceramics. The mechanical properties (flexural strength, flexural modulus, elastic modulus, Vickers hardness, fracture toughness) were investigated and compared with that of the natural tooth and common commercial CAD/CAM blocks. Our results indicated that sintering temperature and corresponding density of porous ceramics have an obvious influence on the mechanical properties, and PICNs could highly mimic the natural tooth in mechanical properties. The biocompatibility experiments evaluated through in vitro cell attachment and proliferation of BMSCs showed good biocompatibility. The mechanical properties and biocompatibility confirmed that PICN could be a promising candidate for CAD/CAM blocks for dental restoration.
Gel-tape-casting of aluminum nitride ceramics

Aluminum nitride ceramic sheets were formed for the first time by a novel and simple method, namely gel-tape-casting process, where only two additives were used to prepare the slurries. PIBM (a water-soluble copolymer of isobutylene and maleic anhydride) acted as both dispersant and gelling agent, and PEG (polyethylene glycol) acted as plasticizer. Combining the advantages of gel-casting and tape-casting processes, flexible and uniform green tapes were obtained. The rheological properties of AlN slurries were studied to optimize the PIBM content and solids loading. After drying and debinding, the green sheets were sintered at 1840 ℃ in N_2 atmosphere. Homogeneous microstructure with average grain size of about 7 μm was observed in the final AlN ceramics. Thermal conductivity of the AlN ceramics was 161W/(m·K).
Mapping winter wheat using phenological feature of peak before winter on the North China Plain based on time-series MODIS data

By employing the unique phenological feature of winter wheat extracted from peak before winter (PBW) and the advantages of moderate resolution imaging spectroradiometer (MODIS) data with high temporal resolution and intermediate spatial resolution, a remote sensing-based model for mapping winter wheat on the North China Plain was built through integration with Landsat images and land-use data. First, a phenological window, PBW was drawn from time-series MODIS data. Next, feature extraction was performed for the PBW to reduce feature dimension and enhance its information. Finally, a regression model was built to model the relationship of the phenological feature and the sample data. The amount of information of the PBW was evaluated and compared with that of the main peak (MP). The relative precision of the mapping reached up to 92% in comparison to the Landsat sample data, and ranged between 87 and 96% in comparison to the statistical data. These results were sufficient to satisfy the accuracy requirements for winter wheat mapping at a large scale. Moreover, the proposed method has the ability to obtain the distribution information for winter wheat in an earlier period than previous studies. This study could throw light on the monitoring of winter wheat in China by using unique phenological feature of winter wheat.
RF-CLASS: A remote-sensing-based flood crop loss assessment cyber-service system for supporting crop statistics and insurance decision-making

Floods often cause significant crop loss in the United States. Timely and objective information on flood-related crop loss, such as flooded acreage and degree of crop damage, is very important for crop monitoring and risk management in agricultural and disaster-related decision-making at many concerned agencies. Currently concerned agencies mostly rely on field surveys to obtain crop loss information and compensate farmers’ loss claim. Such methods are expensive, labor intensive, and time consumptive, especially for a large flood that affects a large geographic area. The results from such methods suffer from inaccuracy, subjectiveness, untimeliness, and lack of reproducibility. Recent studies have demonstrated that Earth observation (EO) data could be used in post-flood crop loss assessment for a large geographic area objectively, timely, accurately, and cost effectively. However, there is no operational decision support system, which employs such EO-based data and algorithms for operational flood-related crop decision-making. This paper describes the development of an EO-based flood crop loss assessment cyber-service system, RF-CLASS, for supporting flood-related crop statistics and insurance decision-making. Based on the service-orientated architecture, RF-CLASS has been implemented with open interoperability specifications to facilitate the interoperability with EO data systems, particularly the National Aeronautics and Space Administration (NASA) Earth Observing System Data and Information System (EOSDIS), for automatically fetching the input data from the data systems. Validated EO algorithms have been implemented as web services in the system to operationally produce a set of flood-related products from EO data, such as flood frequency, flooded acreage, and degree of crop damage, for supporting decision-making in flood statistics and flood crop insurance policy. The system leverages recent advances in the remote sensing-based flood monitoring and assessment, the near-real-time availability of EO data, the service-oriented architecture, geospatial interoperability standards, and the standard-based geospatial web service technology. The prototypical system has automatically generated the flood crop loss products and demonstrated the feasibility of using such products to improve the agricultural decision-making. Evaluation of system by the end-user agencies indicates that significant improvement on flood-related crop decision-making has been achieved with the system.
Comparison between TVDI and CWSI for drought monitoring in the Guanzhong Plain, China

Temperature vegetation dryness index (TVDI) and crop water stress index (CWSI) are two commonly used remote sensing- based agricultural drought indicators. This study explored the applicability of monthly moderate resolution imaging spectroradiometer (MODIS) normalized difference vegetation index (NDVI) and land surface temperature (LST) data for agricultural drought monitoring in the Guanzhong Plain, China in 2003. The data were processed using TVDI, calculated by parameterizing the relationship between the MODIS NDVI and LST data. We compared the effectiveness of TVDI against CWSI, derived from the MOD16 products, for drought monitoring. In addition, the surface soil moisture and monthly precipitation were collected and used for verification of the results. Results from the study showed that: (1) drought conditions measured by TVDI and CWSI had a number of similarities, which indicated that both CWSI and TVDI can be used for drought monitoring, although they had some discrepancies in the spatiotemporal characteristics of drought intensity of this region; and (2) both standardized precipitation index (SPI) and SM contents at the depth of 10 and 20 cm had better correlations to CWSI than to TVDI, indicating that there were more statistically significant relationships between CWSI and SPI/SM, and that CWSI is a more reliable indicator for assessing and monitoring droughts in this region.
An adaptive Mealy machine model for monitoring crop status

Variation in phenological stage is the major nonlinearity in monitoring, modeling and various estimations of agricultural systems. Indices are used as a common means of evaluating agricultural monitoring data from remote sensing and terrestrial observation systems, and many of these indices have linear characteristics. The analysis of and relationships between indices are dependent on the type of plant, but they are also highly variable with respect to its phenological stage. For this reason, variations in the phenological stage affect the performance of spatiotemporal crop status monitoring. We hereby propose an adaptive event-triggered model for monitoring crop status based on remote sensing data and terrestrial observations. In the proposed model, the estimation of phenological stage is a part of predicting crop status, and spatially distributed remote sensing parameters and temporal terrestrial monitoring data are used together as inputs in a state space system model. The temporal data are segmented with respect to the phenological stage-oriented timing of the spatial data, so instead of a generalized discrete state space model, we used logical states combined with analog inputs and adaptive trigger functions, as in the case of a Mealy machine model. This provides the necessary nonlinearity for the state transitions. The results showed that observation parameters have considerably greater significance in crop status monitoring with respect to conventional agricultural data fusion techniques.
Mapping regional cropping patterns by using GF-1 WFV sensor data

The successful launched Gaofen satellite no. 1 wide field-of-view (GF-1 WFV) camera is characterized by its high spatial resolution and may provide some potential for regional crop mapping. This study, taking the Bei’an City, Northeast China as the study area, aims to investigate the potential of GF-1 WFV images for crop identification and explore how to fully use its spectral, textural and temporal information to improve classification accuracy. In doing so, an object-based and Random Forest (RF) algorithm was used for crop mapping. The results showed that classification based on an optimized single temporal GF-1 image can achieve an overall accuracy of about 83%, and the addition of textural features can improve the accuracy by 8.14%. Moreover, the multi-temporal GF-1 data can produce a classification map of crops with an overall accuracy of 93.08% and the introduction of textural variables into multi-temporal GF-1 data can only increase the accuracy by about 1%, which suggests the importance of temporal information of GF-1 for crop mapping in comparison with single temporal data. By comparing classification results of GF-1 data with different feature inputs, it is concluded that GF-1 WFV data in general can meet the mapping efficiency and accuracy requirements of regional crop. But given the unique spectral characteristics of the GF-1 WFV imagery, the use of textual and temporal information is needed to yield a satisfactory accuracy.