This paper designs a kind of height measurement system based on BMP085 pressure sensor. One STM32 F103 RCT6 embedded chip is used as the main controller for the system, meanwhile one BMP085 chip is used to measure pre...
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This paper designs a kind of height measurement system based on BMP085 pressure sensor. One STM32 F103 RCT6 embedded chip is used as the main controller for the system, meanwhile one BMP085 chip is used to measure pressure data. The microprocessor reads the pressure data through the I2 C hardware interface, then adopts linear interpolation method to calculate the absolute height based on the relationship of atmospheric pressure and altitude, thereby acquire the relative height. The experimental result shows that the relative height measurement error of this system is 0.4 m, thus can achieve high precision requirement.
High damping rubber bearings contain quite complex hysteretic behaviours, which cannot be represented accurately by a simple model. For seismic response analyses of structures supported and isolated by high damping ru...
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High damping rubber bearings contain quite complex hysteretic behaviours, which cannot be represented accurately by a simple model. For seismic response analyses of structures supported and isolated by high damping rubber bearings, an accurate model is necessary to characterise the hysteretic laws correctly. Hysteretic performance tests were carried out and some hysteretic laws found from the test results include: the hysteretic loop of high damping rubber bearings is symmetrical in the positive and negative directions and a hysteretic envelope loop is found;for different hysteretic loops starting at the same loading location, the increasing tendency of the shear force is similar in the beginning while a certain difference is found at the end;hysteretic curves between two existing ones could be calculated by the linear interpolation method. These laws would be conducive to a more accurate hysteretic model to analyse the dynamic response of high damping rubber bearings.
Currently, various water depth interpolationmethods used to construct nonnavigable shallow areas are simply and indiscriminatingly used without taking their respective adaptabilities into consideration. Firstly, thre...
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ISBN:
(纸本)9781479977499
Currently, various water depth interpolationmethods used to construct nonnavigable shallow areas are simply and indiscriminatingly used without taking their respective adaptabilities into consideration. Firstly, three typical methods used to estimate a water depth at an arbitrary position on a chart are summarized as follows: (1) estimating the depth with the shallowest depth of the three vertexes of a triangle;(2) estimating the depth with linearly interpolated by the depths of the three vertexes of a triangle;(3) estimating the depth with linearly interpolated by the depths of the three vertexes of a triangle as well as the node depths of isobaths. Correspondingly, three methods, namely is shallowest interpolationmethod, linear interpolation method, and additional interpolationmethod, are proposed for constructing nonnavigable shallow areas based on three aforementioned different ideas. Finally, the adaptability of the three different interpolationmethods used to construct nonnavigable shallow areas is analyzed. The experimental results demonstrate that (1) the shallowest interpolationmethod can ensure the navigation safety better than the other two methods, and linear interpolation method is worse than the shallowest interpolationmethod, and the additional interpolationmethod is the worst. Besides, the shallowest interpolationmethod loses most utilizing rate of the navigable resource, and linear interpolation method is less than the shallowest interpolationmethod, and additional interpolationmethod is the least. (2) In the areas of the narrow straits or waterways on small-scale chart or medium-scale chart, both shallowest interpolationmethod and linear interpolation method may make some mistakes that some areas in the narrow straits or waterways are nonnavigable, whereas additional interpolationmethod can express nonnavigable shallow areas correctly.
Currently, various water depth interpolationmethods used to construct nonnavigable shallow areas are simply and indiscriminatingly used without taking their respective adaptabilities into consideration. Firstly, thre...
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Currently, various water depth interpolationmethods used to construct nonnavigable shallow areas are simply and indiscriminatingly used without taking their respective adaptabilities into consideration. Firstly, three typical methods used to estimate a water depth at an arbitrary position on a chart are summarized as follows:（1） estimating the depth with the shallowest depth of the three vertexes of a triangle;（2） estimating the depth with linearly interpolated by the depths of the three vertexes of a triangle;（3） estimating the depth with linearly interpolated by the depths of the three vertexes of a triangle as well as the node depths of isobaths. Correspondingly, three methods, namely is shallowest interpolationmethod, linear interpolation method, and additional interpolationmethod, are proposed for constructing nonnavigable shallow areas based on three aforementioned different ideas. Finally, the adaptability of the three different interpolationmethods used to construct nonnavigable shallow areas is analyzed. The experimental results demonstrate that（1） the shallowest interpolationmethod can ensure the navigation safety better than the other two methods, and linear interpolation method is worse than the shallowest interpolationmethod, and the additional interpolationmethod is the worst. Besides, the shallowest interpolationmethod loses most utilizing rate of the navigable resource, and linear interpolation method is less than the shallowest interpolationmethod, and additional interpolationmethod is the least.（2） In the areas of the narrow straits or waterways on small-scale chart or medium-scale chart, both shallowest interpolationmethod and linear interpolation method may make some mistakes that some areas in the narrow straits or waterways are nonnavigable, whereas additional interpolationmethod can express nonnavigable shallow areas correctly.
In this paper, we propose two kind of image super-resolution methods based on the shock filter and non local means(NLM). One is a method using shock filter to enhance the high frequency components. Another is a method...
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ISBN:
(纸本)9781479940752
In this paper, we propose two kind of image super-resolution methods based on the shock filter and non local means(NLM). One is a method using shock filter to enhance the high frequency components. Another is a method using NLM based on self similarity of images. Compared with interpolation, super-resolution should produce high resolution images by correctly generating their missing high frequency components. The shock filter based method only applies the shock filter to the high frequency components of an enlarged image by the linear interpolation method. Since the proposed method effectively enhances the sharpness of edges and avoids the over enhancement of texture and smooth regions, the enlarged image is natural and the computational complexity is very low. The NLM based method achieves a high resolution image by using self similarity. It is possible to reduce computational complexity and get good quality of the image by the similarity between the low and high resolution images. In order to improve the quality further, we utilize BM3D which is used in denoising for the super-resolution based on image congruity. In simulations, the proposed method objectively and perceptually shows better results than the conventional method.
This paper presents a new unidimensional search method for non-linear and unconstrained optimization based on finding an intersection point of the lines which pass the extreme points of the interval of uncertainty, [a...
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This paper presents a new unidimensional search method for non-linear and unconstrained optimization based on finding an intersection point of the lines which pass the extreme points of the interval of uncertainty, [a(k),b(k)], and their neighbor points of the function. If f(x) is strictly convex function, the lines intersect at a point between a(k) and b(k). The iteration formula is derived by solving the linear equation. The performance of the new method, named the linear interpolation method, is analyzed in terms of the most popular and widely used criteria;the number of iterations, the number of function evaluations, and the computer (CPU) time in comparison with the most effectual methods such as the Quadratic interpolation, Golden Section, RMS, and AM methods, using 10 test functions. (c) 2005 Elsevier Inc. All rights reserved.
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