Wyniki wyszukiwania - Biblioteka Nauki

1

A fault detection method for a three-tank system.

100%

Shields D. N. , Du S.

Systems Science

|

2000

|

tom Vol. 26, nr 2

27-41

EN

A fault detection observer is considered for a class of nonlinear models which consist of bilinear and polynomial nonlinearities up to degree N. The performance of the observer is assessed when applied to a three-tank system.

2

Identification of Water Traffic Black Spot

100%

Chen H. , Du S.

Zeszyty Naukowe / Akademia Morska w Szczecinie

|

2013

|

tom nr 36 (108) z. 1

38--41

EN

Through defining Water Traffic Black Spot and analyzing the advantages and disadvantages of identification methods of Road Traffic Black Spot, then choosing Quality Control Method to recognize water area of intensive traffic accidents and applying integrated influential intensity of accident rate based on Systematical Clustering Algorithm into defining the boundary of the area, an effective evaluation method of black spot identification that is established, which lays a foundation for the subsequent evaluation work.

3

Molecular phylogeny of Populus (Salicaceae, Salicales) with focus on inter- and intrasectional relationships

80%

Du S. , Hu X. , Yang Y. , Wang Z.

Dendrobiology

|

2022

|

tom 88

4

Tea Category Identification using Computer Vision and Generalized Eigenvalue Proximal SVM

80%

Wang S. , Phillips P. , Liu A. , Du S.

Fundamenta Informaticae

|

2017

|

tom Vol. 151, nr 1/4

325--339

EN

(Objective) In order to increase classification accuracy of tea-category identification (TCI) system, this paper proposed a novel approach. (Method) The proposed methods first extracted 64 color histogram to obtain color information, and 16 wavelet packet entropy to obtain the texture information. With the aim of reducing the 80 features, principal component analysis was harnessed. The reduced features were used as input to generalized eigenvalue proximal support vector machine (GEPSVM). Winner-takes-all (WTA) was used to handle the multiclass problem. Two kernels were tested, linear kernel and Radial basis function (RBF) kernel. Ten repetitions of 10-fold stratified cross validation technique were used to estimate the out-of-sample errors. We named our method as GEPSVM + RBF + WTA and GEPSVM + WTA. (Result) The results showed that PCA reduced the 80 features to merely five with explaining 99.90% of total variance. The recall rate of GEPSVM + RBF + WTA achieved the highest overall recall rate of 97.9%. (Conclusion) This was higher than the result of GEPSVM + WTA and other five state-of-the-art algorithms: back propagation neural network, RBF support vector machine, genetic neural-network, linear discriminant analysis, and fitness-scaling chaotic artificial bee colony artificial neural network.

5

Detecting faults in a hydraulic system using neural network and observer approaches.

80%

Shields D. N. , Du S. , Gaura E.

Systems Science

|

2002

|

tom Vol. 28, nr 1

85-106

EN

A robust fault detection observer (RFDO), which includes a robust residual, is designed for a general nonlinear system with polynomial-type nonlinearities. Two main theoretical results are given for the existence, stability and the detectability of the RFDO. The approach is applied to a three-tank hydraulic system where two fault scenarios are considered. Three different degree observers, with corresponding residuals, are assessed. This observer approach is then compared to the performance of a neural network approach under the same fault conditions.

6

Comparative investigations of nonlinear and linear observers for a highly manoeuvrable target in sliding mode guidance

80%

Wang Y. , Sun M. , Du S. , Chen Z.

Bulletin of the Polish Academy of Sciences. Technical Sciences

|

2017

|

tom Vol. 65, nr 2

233--245

EN

Target manoeuvre is one of the key factors affecting guidance accuracy. To intercept highly maneuverable targets, a second-order sliding-mode guidance law, which is based on the super-twisting algorithm, is designed without depending on any information about the target motion. In the designed guidance system, the target estimator plays an essential role. Besides the existing higher-order sliding-mode observer (HOSMO), a first-order linear observer (FOLO) is also proposed to estimate the target manoeuvre, and this is the major contribution of this paper. The closed-loop guidance system can be guaranteed to be uniformly ultimately bounded (UUB) in the presence of the FOLO. The comparative simulations are carried out to investigate the overall performance resulting from these two categories of observers. The results show that the guidance law with the proposed linear observer can achieve better comprehensive criteria for the amplitude of normalised acceleration and elevator deflection requirements. The reasons for the different levels of performance of these two observer-based methods are thoroughly investigated.

7

Carbon emissions scenario prediction of the thermal power industry in the Beijing-Tianjin-Hebei region based on a back propagation neural network optimized by an improved particle swarm optimization algorithm

80%

Zhou J. , Du S. , Shi J. , Guang F.

Polish Journal of Environmental Studies

|

2017

|

tom 26

|

nr 4

EN

Rapid economic growth in the Beijing-Tianjin-Hebei region has been accompanied by a dramatic increase in carbon emissions. Therefore, a precise study of forecasting carbon emissions is important as regards curbing them. To identify the influence factors of carbon emissions and effectively predict carbon emissions under the three different GDP growth rate scenarios in the Beijing-Tianjin-Hebei thermal power industry, we employed a combination of the improved particle swarm optimization-back propagation algorithm (IPSO-BP) with scenario prediction. The results are as follows: 1) The influencing degree of carbon emissions factors from strong to weak are the installed capacity of thermal power, thermal power generation, urbanization rate, GDP, and utilization ratio of units (with grey correlation degrees of 0.9262, 0.9247, 0.8683, 0.8082, and 0.7704, respectively). 2) Compared with the BP neural network, it is testified that using the IPSO-BP neural network model with an annual average relative error of 2.53%, while the prediction precision of BP neural network is 5.07%. Besides, the number of iterations to achieve the optimal solution is approximately reduced by 33%. 3) GDP is the contributor to the increment of carbon emissions of the power industry, whereby GDP growth rate can be reduced appropriately to curb carbon emissions, avoiding excessive pursuit of economic growth.

8

Numerical investigation of the undrained compression and pull-out capacity of suction foundations in clay

80%

Du J. , Du S. , Shena S. , Yina Z.

Polish Maritime Research

|

2015

|

tom S 1

126--135

EN

This paper presents the results of three-dimensional finite difference analysis of suction foundations in uniform and non-uniform clays under undrained conditions. The Tresca criterion was used to simulate the stress-strain response. The bearing capacity of the foundations was investigated, with the degree of nonhomogeneity (kD/sum) of soil varying from 0 to 5, and the embedment depth being up to four times the foundation diameter. The end bearing capacity factor in compression and the reverse bearing capacity factor in tension were both calculated and were compared with each other under different foundation displacements. Numerical results showed that the ultimate bearing capacity factor can have the same value in cases of both compression and tension. The recommended ultimate bearing capacity factor is determined on the basis of the embedment ratio and displacement magnitude, and the displacement is not more than 30% of the foundation diameter. Finally, two equations are proposed to evaluate both the bearing capacity factor and the effective depth factor.

9

Numerical investigation of the undrained compression and pull-out capacity of suction foudations in clay

80%

Du J. , Du S. , Shen S. , Yin Z.

Polish Maritime Research

|

2015

|

tom 22

|

nr Special Issue S1

EN

This paper presents the results of three-dimensional finite difference analysis of suction foundations in uniform and non-uniform clays under undrained conditions. The Tresca criterion was used to simulate the stress-strain response. The bearing capacity of the foundations was investigated, with the degree of nonhomogeneity (kD/sum) of soil varying from 0 to 5, and the embedment depth being up to four times the foundation diameter. The end bearing capacity factor in compression and the reverse bearing capacity factor in tension were both calculated and were compared with each other under different foundation displacements. Numerical results showed that the ultimate bearing capacity factor can have the same value in cases of both compression and tension. The recommended ultimate bearing capacity factor is determined on the basis of the embedment ratio and displacement magnitude, and the displacement is not more than 30% of the foundation diameter. Finally, two equations are proposed to evaluate both the bearing capacity factor and the effective depth factor

10

The EPSPS gene flow from glyphosate-resistant Brassica napus to untransgene B. napus and wild relative species Orychophragmus violaceus

80%

Du S. , Dai Q. , Feng B. , Wang J.

Acta Physiologiae Plantarum

|

2009

|

tom 31

|

nr 1

EN

Gene flow from transgenic plants to compatible wild relatives is one of the major impediments to the development of the culture of genetically engineered crop plants. In this work, the flow of EPSPS (conferring resistance to glyphosate) gene of transgene Brassica napus toward the untransgene B. napus and wild relative species Orychophragmus violaceus in an open field (1 ha) was studied. The data related to only the 2004 and 2005 autumn season on one location of southwest of China. Pollen dispersal and fertilization of the target plants were favored and a detailed analysis of the hybrid offspring was performed. In field, the data studied show that the gene flow frequency was 0.16% between GM and non-GM B. napus at a distance of 1 m from the transgenic donor area. The crosspollination frequency was 0.05% between GM and non-GM B. napus at a distance of 5 m from the transgenic donor area. At a distance of 10 m, no crosspollination was observed. According to the results of this study, B. napus transgene flow was low. However, the wild relative species O. violaceus could not be fertilized by the transgenic pollen of B. napus, no matter what the distance was.

11

Gamma-radiation induced degradation random walk error in interferometer fiber optic gyroscope

80%

Du S. , Wang X. , Lin S. , Zhang C.

Optica Applicata

|

2011

|

tom Vol. 41, nr 4

953--959

EN

Gamma-radiation induced random walk error (RWE) of interferometer fiber optic gyroscope (IFOG) is presented in this paper. Testing was performed at the components and system level with an expanded version of a closed-loop operational fiber optic gyroscope. Primary concerns include attenuation to total dose, angle random walk, and bias stability degradation as a function of dose. Closed-loop transient noise results are evaluated based on radiation test of the 400 m fiber coil. Based on the test result, a random walk coefficient (RWC) prediction model in radiation environment, which is obtained by embedding polarization-maintaining (PM) fiber loss expression into the RWC model, was built following a power law of dose. An IFOG RWC in space radiation environment was predicted from radiation dose rate by the prediction model. The RWC of the IFOG is limited by the detector thermal noise above 1 kGy radiation and the RWC prediction model is verified by radiation experiment.

12

Complex mechanism of phenol extraction of coal gasification wastewater

80%

Du S. , Wang J. , Jin W. , Wu W.

Polish Journal of Environmental Studies

|

2019

|

tom 28

|

nr 3

EN

In this study, tri-butyl-phosphate (TBP)-kerosene is used as the extraction solvent to remove phenols from coal gasification wastewater, and the complex mechanism of the extraction is investigated. An effect experiment is conducted to determine the complex structures, the enthalpy change of reaction, and the effect of extraction solvent concentration and temperature on the distribution coefficient. To predict the extraction effect before the experiment, the distribution coefficient mathematical model of phenol extraction is established, which is based on a liquid-liquid extraction model and verified for accuracy by the experiment. The effect experiment result shows that with an increase in concentration of TBP and decrease in temperature, the extraction distribution coefficient increases and further determines the complex structures and the enthalpy change of the reaction. Meanwhile, a comparison of experimental and calculated values in the model experiment result shows that the average relative error of extraction distribution coefficient is 5.56% in different concentrations of TBP and 2.72% in different temperatures. Considering the error of the experiment, this work concludes that the distribution coefficient mathematical model of phenol extraction has a high predictive effect on the distribution coefficient and extraction rate of volatile phenol in actual wastewater.

13

Decomposing the decoupling of carbon emissions and economic growth in China’s power industry

80%

Zhou J. , Guang F. , Du S.

Polish Journal of Environmental Studies

|

2017

|

tom 26

|

nr 5

EN

The power industry is the leading source of man-made carbon emissions in China, and it is supposed to assume most of the responsibility for reducing carbon emissions. To study the decoupling status between carbon emissions and economic growth in China’s power industry, a new OECD decoupling analysis with LMDI model is employed in this paper. The results are as follows: 1. Growth and volatility are the main characteristic features of carbon emissions in the power industry, and carbon emissions increased from 25,059.65 ktce in 1995 to 100,805.75 ktce in 2014, with an annual average growth rate of 15.11%. 2. Per capita output effect, energy structure effect, and population scale effect play a positive role in the increment of carbon emissions, with contributions of 202.69%, 1.42%, and 19.96%, respectively. Energy intensity effect is the only driving force on the decline of carbon emissions, with a contribution rate of -124.07%. 3. There exists a weak decoupling relationship between carbon emissions and economic growth in the power industry for most of the study years. It should be noted that energy intensity effect plays a prominent role in the development of decoupling.

14

Influence of forage type of feed intake, chewing activity and rumen pH in goats

61%

Xu M. , Wang F. N. , Wang J. , Du S. , Wang Y. H. , Yao J. H.

Journal of Animal and Feed Sciences. Supplement

|

2007

|

tom 16

|

nr 2

15

A comparison of pressure–volume curves with and without rehydration pretreatment in eight woody species of the semiarid Loess Plateau

61%

Yan M.-J. , Yamamoto M. , Yamanaka N. , Yamamoto F. , Liu G.-B. , Du S.

Acta Physiologiae Plantarum

|

2013

|

tom 35

|

nr 04

EN

Pressure–volume (P–V) curves are frequently used to analyze water relation properties of woody plants in response to transpiration-induced tissue water loss. In this study, P–V analyses were conducted on eight woody species growing in the semiarid Loess Plateau region of China during a relatively dry summer season using both the recently recommended instantaneous measurement and the traditional method with rehydration pretreatment. Generally, P–V-derived parameters in this study reflected conditions in a dry growth environment. Species-specific differences were also found among P–V parameters, suggesting each species uses different mechanisms to respond to drought. Based on the results from instantaneous measurements, a descending sequence for drought tolerance ranked by water potentials at the turgor loss point (Wtlp) was Rosa hugonis[Syringa oblata = Armeniaca sibirica[ Caragana microphylla[Pyrus betulaefolia[Acer stenolobum[Quercus liaotungensis[Robinia pseudoacacia. The first five species also showed lower levels of osmotic potential at full turgor (Wp sat) and higher symplastic osmotic solute content per dry weight, suggesting they possess advantages in osmotic adjustment. Also, this study supports previous reports noting rehydration pretreatment resulted in shifts in P–V parameters. The magnitude of the shifts varied with species and water conditions. The effect of rehydration was stronger for species with higher drought tolerance or subjected to the influence of drought. Differences in the parameters among species were mitigated as a result of rehydration. Those with a lower Wtlp or midday water potential were more deeply affected by rehydration. Application of instantaneous measurements was strongly recommended for proper analysis of P–V curves particularly in arid and semiarid areas

16

Optimizing three kinds of coagulants using Plackett-Burman and response surfacemethodology for phosphorus removal from domestic sewage

61%

Wang L. , Chen Y. , Jiang L. , Zhou H. , Tan Z. , Du S.

Polish Journal of Environmental Studies

|

2019

|

tom 28

|

nr 2

EN

This study compounds three types of coagulants (AlCl₃, FeCl₃, Fe₂(SO₄)₃) with promising effects on TP removal of domestic sewage. The optimum conditions for TP removal using¹ compounded coagulants are determined by Plackett-Burman (P-B) design, steepest ascent, and Box-Behnken design. The adequacy of the quadratic regression model is evaluated by analysis of variance (ANOVA). Results show that initial pH, AlCl₃, and Fe₂(SO₄)₃ are the significant factors for TP removal. F-test, P-value (Prob>F), coefficients R², coefficient of variation, and adequate precision analysis demonstrated the goodness of fit for the regression model. The optimized conditions for TP removal determined by the response surface methodology are initial pH 5.2, AlCl₃ 45 mg/L, and Fe₂(SO₄)₃ 51 mg/L, respectively. The experimental TP removal efficiency (82.89%) agrees with the predicted response value (81.99%), thereby validating the feasibility of the model. Compared to single coagulants (AlCl₃, FeCl₃, Fe₂(SO₄)₃), the compounded coagulants demonstrate 3.29%, 7.59%, and 15.19% higher for TP removal; and 10.1%, 3.0%, and 10.3% higher for CODCr removal. In addition, the compounded coagulants also alleviate the potential hazards to human health due to the dosage decrease of aluminium salt coagulants.

17

The Relative Influence of Environmental and Human Factors on Seed Plant Richness at the Province Scale in China

61%

Li G. , Guo K. , Liu C. , Liu Y. , Song C. , Du S.

Polish Journal of Ecology

|

2015

|

tom Vol. 63, nr 2

184--197

EN

Seed plant diversity is under threat due to human over-exploitation and changes in land use. There is a need to identify regions where seed plant diversity is most at risk and establish nature reserves to protect the most important species. This study collected province scale seed plant richness data and corresponding environmental, social and, economic data in China in order to assess the impact of environmental and socio-economic factors on seed plant diversity and to quantify the relative importance of climate, human disturbance, and habitat heterogeneity on the distribution of seed plant diversity. A downscaling model was established to map the spatial distribution of seed plant diversity at a 1-km resolution. The results showed that temperature and precipitation seasonality, potential evapotranspiration, humidity index, altitude range, and gross domestic product were important determinants of seed plant diversity. The relative contribution of temperature seasonality was the most important factor (explaining 29.9–36.2% of the variation). Climate, human disturbance, and habitat heterogeneity explained much of the seed plant richness and density variation (about 69.4–71.9%). A scale-down model explained 72% of seed plant richness variation and showed that the center of seed plant species diversity was mainly located in the southeast area of China in the Qing-Tibet Plateau, Yun-Gui Plateau, Hengduan Mountain region, middle of the Sichuan Basins, Taiwan island, and Hainan island. This study improves our understanding of biodiversity hotspot regions and is a useful tool for biodiversity conservation policy and nature reserve management in China.

18

Arsenic accumulation and speciation of PM2.5 and relevant health risk assessment in Jinan, China

61%

Yin X. , Wang L. , Yu X. , Du S. , Zhang H. , Zhang Z.

Polish Journal of Environmental Studies

|

2017

|

tom 26

|

nr 2

EN

Arsenic (As) is a ubiquitous carcinogen in the environment. Its bio-toxicity is significantly correlated with its chemical forms. In this study, As accumulation and speciation of PM₂.₅ was investigated in Jinan. The high PM₂.₅ levels fluctuated between 69.67 μg·m⁻³ and 211.25 μg·m⁻³ in winter, and ranged from 63.46 μg·m⁻³ to 125.50 μg·m⁻³ in summer. The total As concentration of PM₂.₅ in winter and summer varied from 4.23 to 15.47 ng·m⁻³ and from 4.59 to 11.69 ng·m⁻³. As(V) accounted for 70~100% of the extractable speciation in the PM₂.₅ samples. Exposure levels of total As for the general public were 63.45~232.05 ng d⁻¹, and 68.85~175.35 ng d⁻¹ by inhalation in winter and summer. The mean of cancer risk (CR) of As in PM₂.₅ for winter and summer were 7.30×10⁻⁶±0.89×10⁻⁶ and 5.26×10⁻⁶±0.58×10⁻⁶, respectively.

19

Pathological Brain Detection via Wavelet Packet Tsallis Entropy and Real-Coded Biogeography-based Optimization

61%

Wang S. , Li P. , Chen P. , Phillips P. , Liu G. , Du S. , Zhang Y.

Fundamenta Informaticae

|

2017

|

tom Vol. 151, nr 1/4

275--291

EN

(Aim) In order to detect pathological brains in a more efficient way, (Method) we proposed a novel system of pathological brain detection (PBD) that combined wavelet packet Tsallis entropy (WPTE), feedforward neural network (FNN), and real-coded biogeography-based optimization (RCBBO). (Results) The experiments showed the proposed WPTE + FNN + RCBBO approach yielded an average accuracy of 99.49% over a 255-image dataset. (Conclusions) The WPTE + FNN + RCBBO performed better than 10 state-of-the-art approaches.

20

The relative influence of environmental and human factors on seed plant richness at the province scale in China

61%

Li G. , Guo K. , Liu C. , Liu Y. , Song C. , Du S.

Polish Journal of Ecology

|

2015

|

tom 63

|

nr 2

EN

Seed plant diversity is under threat due to human over-exploitation and changes in land use. There is a need to identify regions where seed plant diversity is most at risk and establish nature reserves to protect the most important species. This study collected province scale seed plant richness data and corresponding environmental, social and, economic data in China in order to assess the impact of environmental and socio-economic factors on seed plant diversity and to quantify the relative importance of climate, human disturbance, and habitat heterogeneity on the distribution of seed plant diversity. A downscaling model was established to map the spatial distribution of seed plant diversity at a 1-km resolution. The results showed that temperature and precipitation seasonality, potential evapotranspiration, humidity index, altitude range, and gross domestic product were important determinants of seed plant diversity. The relative contribution of temperature seasonality was the most important factor (explaining 29.9–36.2% of the variation). Climate, human disturbance, and habitat heterogeneity explained much of the seed plant richness and density variation (about 69.4–71.9%). A scale-down model explained 72% of seed plant richness variation and showed that the center of seed plant species diversity was mainly located in the southeast area of China in the Qing-Tibet Plateau, Yun-Gui Plateau, Hengduan Mountain region, middle of the Sichuan Basins, Taiwan island, and Hainan island. This study improves our understanding of biodiversity hotspot regions and is a useful tool for biodiversity conservation policy and nature reserve management in China.