In this paper, an improved algorithm based on Housner spectral intensity is proposed. The upper and lower limit time range of the equation is adjusted to 0.1s similar to 10.1s. At the same time, the equation of spectr...
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ISBN:
(纸本)9798350320800
In this paper, an improved algorithm based on Housner spectral intensity is proposed. The upper and lower limit time range of the equation is adjusted to 0.1s similar to 10.1s. At the same time, the equation of spectral intensity value is divided into six categories. The spectral intensity value is calculated according to the range of lgSI(0.2) calculated. Finally, the ordinary Kriging interpolation method is used to draw the spectral intensity contour map. The improved method proposed in this paper establishes a continuous function relationship between the acceleration time-history integral of ground motion and the spectral intensity. Through the comparison and verification of two earthquakes, the spectral intensity contour map obtained by the improved algorithm is consistent with the overall change trend of the macroscopic intensity map, and has a good corresponding relationship. It has certain reliability and accuracy, and can provide scientific data support for post-disaster emergency rescue and decision deployment.
Recently, diagnosis, therapy and monitoring of human diseases involve a variety of imaging modalities, such as magnetic resonance imaging (MRI), computed tomography (CT), Ultrasound (US) and Positron-emission tomograp...
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ISBN:
(纸本)9781510636408
Recently, diagnosis, therapy and monitoring of human diseases involve a variety of imaging modalities, such as magnetic resonance imaging (MRI), computed tomography (CT), Ultrasound (US) and Positron-emission tomography (PET) as well as a variety of modern optical techniques. The degeneration of lumbar intervertebral disc has become a common disease in modern society. Currently, the most commonly used method is the diagnostic grade based on MRI technology, among which Pfinmann grading system is most widely used in clinic. The Pfinmann grading system is mainly based on the measurement of the average height of the lumbar intervertebral disc and the intensity of the signal of the nucleus pulposus and the inner and outer edge of the fiber ring in MR images. With the degeneration of the intervertebral disc, the signal of the inner and outer edge of the annulus also decreases, so the error caused by the method of measuring the average height of the lumbar intervertebral disc is larger. Therefore, we proposed an algorithm based on morphology to detect lumbar intervertebral disc in MRI spinal images. First, the median filter is used to remove noise in MRI and then the lumbar intervertebral disc is extracted through morphological processing. Then, the image is smoothed by combining with gaussian filtering. Finally, the result map of lumbar intervertebral disc is obtained and its area is calculated. In the analysis and comparison of the detection results of the lumbar intervertebral disc, the skeleton extraction diagram of the detection results of the lumbar intervertebral disc was obtained after processing the image of the detection results of the lumbar intervertebral disc with the thinning algorithm. According to the analysis, the degree of laminar disc skeleton and upper and lower vertebral body is as high as 90%. This paper also briefly introduces the application direction of this measurement algorithm in medicine: 1. Improve doctors' ability to detect early lumbar disc
Background: Genome-wide expression, sequence and association studies typically yield large sets of gene candidates, which must then be further analysed and interpreted. Information about these genes is increasingly be...
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Background: Genome-wide expression, sequence and association studies typically yield large sets of gene candidates, which must then be further analysed and interpreted. Information about these genes is increasingly being captured and organized in ontologies, such as the Gene Ontology. Relationships between the gene sets identified by experimental methods and biological knowledge can be made explicit and used in the interpretation of results. However, it is often difficult to assess the statistical significance of such analyses since many inter-dependent categories are tested simultaneously. Results: We developed the program package FUNC that includes and expands on currently available methods to identify significant associations between gene sets and ontological annotations. Implemented are several tests in particular well suited for genome wide sequence comparisons, estimates of the family-wise error rate, the false discovery rate, a sensitive estimator of the global significance of the results and an algorithm to reduce the complexity of the results. Conclusion: FUNC is a versatile and useful tool for the analysis of genome-wide data. It is freely available under the GPL license and also accessible via a web service.
The classical MDS-MAP algorithm is a centralized algorithm, with an increase in nodes, the algorithm attains a high degree of complexity. In order to solve the shortcomings of the positioning accuracy and the computat...
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The classical MDS-MAP algorithm is a centralized algorithm, with an increase in nodes, the algorithm attains a high degree of complexity. In order to solve the shortcomings of the positioning accuracy and the computational complexity of the matrix in the classical MDS-MAP algorithm, an enhanced distributed MDS-MAP localization algorithm was designed and realized (EMDS-MAP(D)). The EMDS-MAP(D) algorithm does not need auxiliary hardware facilities, and can be used for the local computation of nodes, thereby reducing the amount of computation and communication. It is suitable for a shielding environment. The algorithm calculates the coordinates of relative nodes without the anchor node, only transformation absolute coordinates need a Global Positioning System (GPS) to locate a certain amount of coordinates (usually less than 10) and the number of the positioning coordinates does not depend on the size of the network. Theoretical analysis and simulation experimental results show that EMDS-MAP(D) can realize distributed computing and improve the positioning accuracy of the node.
In the actual path planning of the mobile robot, the algorithm planning of the robot is almost always to find the shortest path, but if the robot is in a narrow working environment with many corners, it will make the ...
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In the actual path planning of the mobile robot, the algorithm planning of the robot is almost always to find the shortest path, but if the robot is in a narrow working environment with many corners, it will make the robot too close to the obstacle, and the robot's edge will contact with the obstacle,resulting in the path planning failure. In order to solve the security problem of mobile robot path planning, we put forward a kind of inflation obstacles,refinement algorithm first determine skeleton and area of the mobile robot on the map, and then the refinement algorithm can get skeleton to improve traffic area,connected to the path of starting point and end point, define the passage *** by searching the first and second nodes, we can find the optimal path that accords with the safety of the robot. The new path planning algorithm can realize non-collision planning, improve the safety and stability of the robot, and verify its effectiveness and authenticity through simulation results.
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