Wyniki wyszukiwania - BazTech

1

Application of evaluation algorithm for port logistics park based on PCA-SVM model

Hu B.

Polish Maritime Research

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2018

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S 3

29--35

EN

To predict the logistics needs of the port, an evaluation algorithm for the port logistics park based on the PCASVM model was proposed. First, a quantitative indicator set for port logistics demand analysis was established. Then, based on the grey correlation analysis method, the specific indicator set of port logistics demand analysis was selected. The advantages of both principal component analysis and support vector machine algorithms were combined. The PCA-SVM model was constructed as a predictive model of the port logistics demand scale. The empirical analysis was conducted. Finally, from the perspective of the structure, demand, flow pattern and scale of port logistics demand, the future logistics demand of Shenzhen port was analysed. Through sensitivity analysis, the main influencing factors were found out, and the future development proposals of Shenzhen port were put forward. The results showed that the port throughput of Shenzhen City in 2016 was 21,328,200 tons. Compared with the previous year, it decreased by about 1.74 %. In summary, the PCA-SVM model accurately predicts the logistics needs of the port.

2

Curvelet-domain multiple matching method combined with cubic B-spline function

Wang T., Wang D., Tian M., Hu B., Liu C.

Acta Geophysica

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2018

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Vol. 66, no. 4

559--573

EN

Since the large amount of surface-related multiple existed in the marine data would influence the results of data processing and interpretation seriously, many researchers had attempted to develop effective methods to remove them. The most successful surface-related multiple elimination method was proposed based on data-driven theory. However, the elimination effect was unsatisfactory due to the existence of amplitude and phase errors. Although the subsequent curveletdomain multiple–primary separation method achieved better results, poor computational efficiency prevented its application. In this paper, we adopt the cubic B-spline function to improve the traditional curvelet multiple matching method. First, select a little number of unknowns as the basis points of the matching coefficient; second, apply the cubic B-spline function on these basis points to reconstruct the matching array; third, build constraint solving equation based on the relationships of predicted multiple, matching coefficients, and actual data; finally, use the BFGS algorithm to iterate and realize the fast-solving sparse constraint of multiple matching algorithm. Moreover, the soft-threshold method is used to make the method perform better. With the cubic B-spline function, the differences between predicted multiple and original data diminish, which results in less processing time to obtain optimal solutions and fewer iterative loops in the solving procedure based on the L1 norm constraint. The applications to synthetic and field-derived data both validate the practicability and validity of the method.

3

Closed-loop SRME based on 3D L1-norm sparse inversion

Wang T., Wang D., Sun J., Hu B., Liu C.

Acta Geophysica

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2017

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Vol. 65, no. 6

1145--1152

EN

In many situations, the quality of seismic imaging is largely determined by a proper multiple attenuation as preprocessing step. Despite the widespread application of surface-related multiple elimination (SRME) and estimation of primaries by sparse inversion (EPSI) for the removal of multiples, there still exist some limitations in the process of prediction and subtraction (SRME) or inversion (EPSI), which make the efficiency of multiple attenuation less satisfactory. To solve these problems, a new fully data-driven method called closed-loop SRME was proposed, which combines the robustness of SRME and the multi-dimensional inversion strategy of EPSI. Due to the selection of inversion approach and constraint, primary estimation by closed-loop SRME may fall into a local optimum during the solving process, which lowers the accuracy of deep information and weakens the continuity of seismic events. To avoid these shortcomings, we first modified the solving method for closed-loop SRME to an L1 norm-based bi-convex optimization method, which stabilizes the solution. Meanwhile, in the L1 norm constraint-based optimization process, the 3D sparsifying transform, being a 2D Curvelet-1D wavelet transform, is brought in as a 3D sparse constraint. In the 3D sparsifying domain, the data become sparser, thus making the result of optimization more accurate, the information of seismic events more continuous and the resolution higher. Examples on both synthetic and field data demonstrate that the method proposed in this paper, compared with the traditional SRME and closed-loop SRME, have an excellent effect on primary estimation and suppress multiples effectively.

4

A probabilistic method for certification of analytically redundant systems

Hu B., Seiler P.

International Journal of Applied Mathematics and Computer Science

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2015

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Vol. 25, no. 1

103--116

EN

Analytical fault detection algorithms have the potential to reduce the size, power and weight of safety-critical aerospace systems. Analytical redundancy has been successfully applied in many non-safety critical applications. However, acceptance for aerospace applications will require new methods to rigorously certify the impact of such algorithms on the overall system reliability. This paper presents a theoretical method to assess the probabilistic performance for an analytically redundant system. Specifically, a fault tolerant actuation system is considered. The system consists of dual-redundant actuators and an analytical fault detection algorithm to switch between the hardware components. The exact system failure rate per hour is computed using the law of total probability. This analysis requires knowledge of the failure rates for the hardware components. In addition, knowledge of specific probabilistic performance metrics for the fault detection logic is needed. Numerical examples are provided to demonstrate the proposed analysis method.

5

A visualization system for oil spills IN Qinzhou Bay based on Google Earth

Dong Y., Hu B., Xie Z., Huang Y., Zhang S.

Journal of Power Technologies

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2014

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Vol. 94, nr 1

79--83

EN

This paper mainly aims to solve the visualization problem of oil spill. Combined with conditions on the ground of target research area Qinzhou Bay, important access to the sea for southwest China, the paper propose a model to construct the visualization system of oil spill, which relatively reveals as many as impact factors of oil spill and also is suitable for this region. The rich image resources of satellite remote sensing Google Earth is selected as the client during constructing the system. It combines Oracle which is suitable for storing large amounts of data as a backend database. This paper solves data exchange and data storage of KML between the Google Earth and Oracle by connecting them, which realizes the visualization of oil spill system in Qinzhou Bay.

6

Experiments for Verification of the Effectiveness of Smoke Control System in a Typical Subway Station

Tan J., Xie Y., Wang P., Wang T., Hu B.

Przegląd Elektrotechniczny

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2012

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R. 88, nr 1b

78-81

EN

In order to verify the effectiveness of smoke control system in subway station, a series of hot smoke tests were done on real platform and station hall. The temperature of smoke layer and roof are measured by thermocouple and Infrared Thermograph, and the results showed the maximum temperature of platform and station hall roof can reach to 61.4°Cand 55.7°C. The wind speed on stairs are large enough to make the smoke don’t enter into station hall (on platform test) and platform (on station hall test).There is a blind area on both sides of platform on the process of mechanical exhaust smoke. It is not easy to exhaust when the smoke flow into both side of platform. The smoke can be exhausted when the air vents are set on both side of platform. There is no blind area of smoke exhaust on station hall in test.

PL

Przedstawiono system kontroli palaenia stacji kolei podziemnej. Temperatura mierzona jest czujnikiem termoelektrycznym i przy pomocy termografii podczerwonej. W systemie przewidziano możliwości badania dymu z uwzględnieniem przepływów powietrza.

7

Sedimentary facies, ichnofossils and storm deposits in the Lower Permian Taiyuan Formation, Jiaozuo city, Henan Province, central China

Hu B., Song H., Liu S., Zhang L.

Acta Geologica Polonica

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2010

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Vol. 60, no. 1

45-52

EN

Five sedimentary facies - neritic carbonate platform, lagoon, tidal flat, swamp and barrier island facies - are recorded in the Lower Permian Taiyuan Formation along with abundant ichnofossils. Common ichnofossils in this formation include Zoophycos villae, Zoophycos brianteus, Nereites cf. missouriensis, Chondrites isp., Gordia marina, Taenidium isp., Thalassinoides isp., Palaeophycus isp., Planolites isp. and a kind of bifurcation trail. From observations of the morphology of Zoophycos spreiten in approximately vertical sections, at least three kinds of spreite laminae are distinguished: ligular, crescentic and rectangular forms. Four types of storm deposits (coded as A, B, C, D) are recognised in the carbonates of the Taiyuan Formation and can be explained forming in shallow marine environments, which are distributed in order from near storm wave base to near fair weather wave base respectively.