Xiaochu Liu

Fuzzy Performance between Surface Fitting and Energy Distribution in Turbulence Runner

Because the application of surface fitting algorithms exerts a considerable fuzzy influence on the mathematical features of kinetic energy distribution, their relation mechanism in different external conditional parameters must be quantitatively analyzed. Through determining the kinetic energy value of each selected representative position coordinate point by calculating kinetic energy parameters, several typical algorithms of complicated surface fitting are applied for constructing microkinetic energy distribution surface models in the objective turbulence runner with those obtained kinetic energy values. On the base of calculating the newly proposed mathematical features, we construct fuzzy evaluation data sequence and present a new three-dimensional fuzzy quantitative evaluation method; then the value change tendencies of kinetic energy distribution surface features can be clearly quantified, and the fuzzy performance mechanism discipline between the performance results of surface fitting algorithms, the spatial features of turbulence kinetic energy distribution surface, and their respective environmental parameter conditions can be quantitatively analyzed in detail, which results in the acquirement of final conclusions concerning the inherent turbulence kinetic energy distribution performance mechanism and its mathematical relation. A further turbulence energy quantitative study can be ensured.

Video tracking for high-similarity drug tablets based on reflective lightness intensity and fuzzy recognition system

Video tracking of drug tablet exerts important influences on the efficiency and reliability of its mass production; this topic also becomes a difficult and targeted focus for pharmaceutical production monitory in the past several years due to the high similarity and random distribution of those objectives to be searched for. By measuring the reflective lightness intensity of illumination lightness on tablet surface, reflective lightness intensity matrix was established and demonstrated in the form of grey image, presenting its shape topology and topography details in return. On this basis, a series of mathematical properties for describing reflective lightness intensity images were proposed, thereafter a set of fuzzy recognition system and its identification rules can be employed to classify those moving tablets with inputted image properties, which facilitates the determination of their instantaneous coordinate positions on given image frame accordingly. By repeating identical operations on the next frame, the real-time motions of tablet objectives were traced successfully. Orthogonal tracking experiment and performance comparisons verified the accuracy and reliability of this new method in pharmaceutical industry. With original suggestions concerning imaging arrangements, tablet descriptions and video tracking, this article provides reliable references and new research ideas for tablet tracking performance in high-yielding production domain.

Experimental Result Comparisons of Curve Fitting Algorithms on Fluid Path Lines Modeling in Strengthen Grinding Flow Field

Stirred turbulence with abrasive particles were widely employed for strengthen grinding in mechanical industries, therefore, the dynamic characteristic of turbulent flow comes up as a key element influencing grinding mechanism and operation performance in a long term. In this experimental research, we use flow path lines (turbulent path lines) to demonstrate the specific moving process of turbulent flow during strengthen grinding operation, which can be clearly identified by the real-time spatial movements of those abrasive particles, therefore a visual experimental approach can be provided to analyze the three-dimensionalmotion characteristics of strengthen grinding turbulence. The free movements of abrasive particles in three-dimensional grinding flow field exert an important influence on the geometrical properties of fluid path lines to be fitted, and the influence mechanism caused by those fluid path modeling algorithms should be studied quantitatively in detail. In this article, after extracting the image coordinates of those selected abrasive particles denoted as physical control points, and determining the three-dimensional moving path of turbulent flow by using imaging head array mounted on turbulence monitoring platform, several typical algorithms of curve fitting were sequentially employed for constructing the spatial path lines of turbulent flow, using coordinate transformation and flow motion vector computations. On the basis of computing the newly proposed curve mathematical properties, we made an experimental result comparison of those curve fitting algorithms on the established fluid path models. With several proposed experimental suggestions concerning turbulence inspection, flow path modeling processes and their correlated experimental mechanisms, the performance inspection of strengthen grinding turbulence experiments will be highly facilitated and remarkably optimized. Thereafter, new ideas for studying strengthen grinding process in future were also provided.

Impact discussion of curve fitting on turbulence locus structuring

Analysis of turbulence characteristics in the confined space has been emphasised in the strengthen grinding, and it is the main point and a difficult point in the research of fluid theory. For the purpose of studying the technological parameters of strengthen grinding and obtaining its characteristic signal group, the curve fitting’s impact on turbulence locus’s structuring is discussed and then be quantitatively evaluated. Through the meshing of flow field the turbulence tracing particle’s locus is calibrated, then with the measurement of velocities and directions of these particles’ motion, different typical algorithms of curve fitting are selected for structuring the model of turbulence locus. On the basis of calculating these locus models’ mathematical characteristics, the impact disciplines exerted by curve structuring are quantified by repeated experiments. The impact discipline is analysed thus the final conclusions are reached. The impact mechanism and internal relationship between the curve fitti...

Investigation of mutual cross-correlation between integrated chip topography modelling and its image features

Since the mutual influence mechanism between IC chip topography modelling and its image features remains unstudied or uncertain, cross-correlation degree has been newly proposed to quantitatively evaluate this objective characteristic to be learned. Through obtaining digital images from IC micro surface and extracting its topography control point cloud, surface fitting in geometrical domain was used to acquire its spatial model. Mutual cross correlation evaluation system was established on this basis as respected. With a series of those calculated cross correlation degrees the mutual influence mechanism and its inherent performance results were quantitatively evaluated between image features and topography surface modelling. By repeatedly experiments the influence disciplines and mutual correlations in different experimental conditions were discussed, which will result to acquirement of final conclusions. This investigation provides valuable technical references and new research ideas for following IC surface topography research with a more effectively mathematical evaluation tool in practice.

Optimization of Turbulence Image Chromatic Data based on Surface Construction and RANSAC Estimation

For the purpose of meeting the requirement for image chromatic information storage, data processing and transmission in turbulence precise detection, this paper presents a new data optimization method of turbulence image chromatic data based on energy optimization surface construction and multi-order Random Sample Consensus (RANSAC) estimation. Though extracting turbulence image’s chromatic data in color-space, we compute image pixel’s normal vector, multi-order derivative vector and partial derivative vector, thus an energy optimization surface of chromatic data can be structured; subsequently, by expanding the multi-order RANSAC estimation, the multi-order RANSAC illustration of the layered chromatic vector surface can be realized, which contributes to the chromatic data optimization of turbulence image in different dimensional RANSAC estimation levels. Optimization experiment and performance comparison prove that an effective and reliable optimization results of turbulence image chromatic data can be obtained, an efficient method for studying the chromatic data and vector surface of turbulence image in different dimensional estimation level is also presented