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2007中国宁波国际计算机科学与技术学术大会

作者： Li Yan Ma Kun Wu Jiaquan Ningbo Dahongying Polytechnics of Software Kunming University of Science and Technology

ISBN: (纸本)9780972147903

The field of 3-D space position has been studied using digital camera and the method through which we can get distance information of the target object based on single image has been described in this ***,we obtained image information by digital image ***,we made the focus of the digital camera and the size of the target to be equivalent to the standard of Camera ***,the relative position of the target and the measuring system can be gained using a computer *** principle of the measurement and parameter calculating equation is *** have applied this kind of efficient,accurate and simple depth algorithm in live distance measurements and have got very good effects for the accuracy of the long,middle and close distance measurements almost above 98%The experimental results prove that this method is effective,feasible and easy to acquire.

关键词： Digital camera 3-D space position measurement computer image processing

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Enhanced autogenous self-healing of cement-based composites with mechanically activated fluidized-bed combustion fly ash

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CONSTRUCTION AND BUILDING MATERIALS 2021年 300卷 124028-124028页

作者： Tomczak, Kamil Jakubowski, Jacek Kotwica, Lukasz AGH Univ Sci & Technol Dept Geomech Civil Engn & Geotech Al Mickiewicza 30 PL-30059 Krakow Poland AGH Univ Sci & Technol Dept Bldg Mat Technol Al Mickiewicza 30 PL-30059 Krakow Poland

This study investigates the effect of the modification of cement-based composites with mechanically activated fly ash from lignite combustion in fluidized bed boilers (MAFBC fly ash) on self-healing. The subject of the research was mortar samples in which, after 28 days of maturing, cracks 0 to 750 mm wide were mechanically induced, followed by curing for 152 days. Via computer processing and analysis of high-resolution scanner (HRS) images, the maximum average crack width reduction was determined to be 43%. The analysis of samples via ultrasonic pulse velocity (UPV) measurements estimated the degree of crack filling with newly formed material during self-sealing to be as high as 58%. In terms of mechanical properties, a maximum flexural strength recovery of 54% was observed due to microstructural changes in the contact area between the cement matrix and polypropylene fibers. To examine self-healing at a microstructural level, optical and scanning electron microscopy (SEM) with energy dispersive spectroscopy (EDS) were applied to the surface of cracks and fragments cut out of the samples. The results showed that the use of MAFBC fly ash as a partial substitute for cement led to the modification of the products of self-healing. Hydrated calcium aluminates were observed in the cracks in addition to typical self-healing products. In the interior of the samples, the complete filling of cracks up to a width of 110 mm was observed. (c) 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://***/licenses/by/4.0/).

关键词： Self-healing Cementitious material Mineral additives Fly ash Fluidized bed combustion Cracks in concrete computer image processing Ultrasonic pulse velocity SEM EDS

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Key Factors Determining the Self-Healing Ability of Cement-Based Composites with Mineral Additives

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MATERIALS 2021年第15期14卷 4211-4211页

作者： Tomczak, Kamil Jakubowski, Jacek Kotwica, Lukasz AGH Univ Sci & Technol Dept Geomech Civil Engn & Geotech PL-30059 Krakow Poland AGH Univ Sci & Technol Dept Bldg Mat Technol PL-30059 Krakow Poland

This paper reveals the relationships between key factors that determine the ability of cementitious composites to self-heal autogenously and specific measures for quantifying the effects of this process. The following material factors: water-to-binder ratio (w/b), uniaxial compressive strength and age of the composite at the time of defect formation were considered, as well as the method and degree of damage to the tested material. The subjects of this study were mortars and concretes in which Portland cement was partially replaced, to varying degrees, with mechanically activated fluidized bed combustion fly ash (MAFBC fly ash) and siliceous fly ash. The samples were subjected to three-point bending or cyclic compression tests after 14 or 28 days of aging, in order to induce defects and then cured in water for 122 days. Microscopic (MO) and high-resolution scanning (HRS) observations along with computer image processing techniques were used to visualize and quantify the changes occurring in the macro-crack region near the outer surface of the material during the self-sealing process. Techniques based on the measurement of the ultrasonic pulse velocity (UPV) allowed the quantification of the changes occurring inside the damaged materials. Mechanical testing of the composites allowed quantification of the effects of the activity of the binder-supplementary cementitious materials (SCMs) systems. The analysis of the results indicates a significant influence of the initial crack width on the ability to completely close the cracks;however, there are repeated deviations from this rule and local variability of the self-sealing process. It has been shown that the compressive strength of a material is an important indicator of binder activity concerning crack width reduction due to self-sealing. Regardless of the crack induction method, the internal material changes caused by self-sealing are dependent on the degree of material damage.

关键词： self-healing cementitious material supplementary cementitious materials mineral additives fly ash fluidized bed combustion cracks in concrete computer image processing ultrasonic pulse velocity

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Intelligent English Translation Model Based on Improved GLR Algorithm

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Procedia computer Science 2023年 228卷 533-542页

作者： Shengbo Yang

An intelligent English translation model based on the improved GLR algorithm is proposed to solve the imprecise problem of traditional methods. This algorithm is used to create a body of tagged sentences from tens of thousands of English and Chinese words, so that the sentences can be searched. In addition, the knowledge structure translated into English is designed to prepare the knowledge structure based on information collection, processing and production. To use the knowledge of English translation, the English text is written according to the plan, design and negative features are extracted. The clinical trial was based on the standard knowledge of English translation and the trial data was recorded. According to the test results, the accuracy of English translation is 75.1% before modification and 99.1% after using smart text. Syntax and sentence-based knowledge systems have weak nodal point distributions, but the nodal point distributions are compact in the first, fourth, and fifth trials. Conclusion: The English translation knowledge model is highly accurate and can meet the needs of English translation.

关键词： Improved GLR algorithm English translation Intelligent recognition Model building computer image processing

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Laser-Induced Fluorescence Bronchoscopy for Detection and Localization of Early Lung Cancer

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Chinese Journal of Lasers 2001年第4期 70-76页

作者： XIE Shusen 1,2 LI Buhong 1,2 LI Hui 1 ZHENG Wei 1,3 LU Zukang 2 1) Biomedical Optical Lab, Institute of Laser, Fujian Teachers University, Fuzhou 35007, China 2) National Research Center of Optical Instrument Engineering, Zh

Experimenatal results on the development of a Laser Induced Fluorescence Bronchoscopy(LIFB) for the detection and localization of early lung cancer are reported in this paper. The system utilizes fluorescence of photosensitizer drug to provide real time video imaging for the examined lung tissue. Color filters are used to differentiate signal from background and a computer image processing technique is also applied to subtract the background. Moreover, a pseudocolor contrast enhancement method was developed to enhance the fluorescence image displayed on the vidio monitor. Suspicious areas are identified by pseudocolor image to guide biopsy, and several clinical trials show that sensitivity and contrast capability of the system should permit the detection and localization of early lung cancer.

关键词： laser induced fluorescence early lung cancer detection and localization computer image processing

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Suitability assessment of replacement of conventional hot-working steels with maraging steel Part II: Microstructure of maraging steel after precipitation hardening treatment

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INTERNATIONAL JOURNAL OF MATERIALS RESEARCH 2021年第2期93卷 171-176页

作者： Grum, Janez Zupancic, Martin Univ Ljubljana Fac Mech Engn Ljubljana Slovenia

A study of the properties of maraging steel Thyssen 1.2799 in the production of die-casting tools for aluminium alloys has been undertaken. Beside the study of the mechanical properties described in Part I of the paper, analyses of the microstructure by means of optical microscopy and scanning electron microscopy were made, too. The precipitates having a size of the order of a few 10 nm and more could be identified. Relating of the mechanical properties to the microstructure analyses supported by a micro chemical analysis, the suitability of the maraging steel concerned for the production of die-casting tools for aluminium alloys was proved.

关键词： Maraging steel Microstructure Precipitation hardening Precipitates computer image processing

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State Recognition of Egg Embryo in Vaccines Production Based on SVM

State Recognition of Egg Embryo in Vaccines Production Based...

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2017 5th International Conference on Mechanical, Automotive and Materials Engineering（CMAME 2017）

作者： Yanwei Xu Menghui Chen Tancheng Xie School of Mechatronics Engineering Henan University of Science and Technology

The method for state recognition of egg embryo in biological vaccines production based on computer image processing and support vector machine was ***,the median filtering method was applied to eliminate noises in the images of egg embryo that were classified by the requirements of practical production,then the threshold segmentation method was used to segment the images,then the blood vessels and black blocks in the egg embryo images were selected as major characteristics to *** decision tree classification model with structure of binary tree was built on support vector machine,and the model was trained with the toolkit LIBSVM,the penalty factor C = 2,RBF kernel parameter γ=3.0512 e-05 and the precision of cross validation accuracy is 98.913%.Finally,100 egg embryos were randomly selected as the test samples to do pattern recognition,and compared with manual test *** comparison result showed that the discriminant accuracy of SVM classifier on weak embryo,polluted embryo or dead embryo was 100%,and it of SVM classifier on live embryo was 94.62%.

关键词： egg embryo pattern recognition support vector machine computer image processing

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Method for State Recognition of Egg Embryo in Vaccines Production Based on Support Vector Machine

Method for State Recognition of Egg Embryo in Vaccines Produ...

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2017 2nd International Conference on Test, Measurement and Computational Method(TMCM 2017)

作者： Yan-wei XU Meng-hui CHEN Tan-cheng XIE School of Mechanical Engineering Tianjin University School of Mechatronics Engineering Henan University of Science and Technology

The method for state recognition of egg embryo in biological vaccines production based on computer image processing and support vector machine was researched. Firstly, the median filtering method was applied to eliminate noises in the images of egg embryo that were classified by the requirements of practical production, then the threshold segmentation method was used to segment the images, then the blood vessels and black blocks in the egg embryo images were selected as major characteristics to extract. The decision tree classification model with structure of binary tree was built on support vector machine, and the model was trained with the toolkit LIBSVM, the penalty factor C=2, RBF kernel parameter γ=3.0512 e-05 and the precision of cross validation accuracy is 98.913%. Finally, 100 egg embryos were randomly selected as the test samples to do pattern recognition, and compared with manual test result.

关键词： Egg embryo Pattern recognition Support vector machine computer image processing

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Novel approach of runway recognition in complex environment

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Jisuanji Gongcheng/computer Engineering 2006年第10期32卷 164-166页

作者： Li, Tao Wang, Junpu Wu, Xiuqing Wang, Pengwei Department of Automation Univ. of Sci. and Technol. of China Hefei 230027 China Department of Electronic Engineering and Information Science Univ. of Sci. and Technol. of China Hefei 230027 China

A novel recognition approach of runway is proposed aimed at the complexity and variety of airport images. First, a parallel edges model and corresponding likelihood function are proposed and Metropolis algorithm is used to accurately localize the edge of runways. Furthermore, effectively identification rules which analyze both structural and mark features of runways are used in this approach. The results of experiments on spot satellite images show that this approach can successfully accomplish runway recognition tasks even in complex environment.

关键词： computer image processing Deformable template Remote sensing image Runway

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image segmentation method based on wavelet decomposition and neural network

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Xitong Fangzhen Xuebao / Journal of System Simulation 2005年第4期17卷 859-862页

作者： Zhang, Jian-Xun Zhang, Jia-Wan Sun, Ji-Zhou Sch. of Electron. and Info. Eng. Tianjin Univ. Tianjin 300072 China Sch. of Comp. Sci. and Eng. Chongqing Inst. of Technol. Chongqing 400050 China

Firstly, the image was decomposed by wavelet transform to multiresolution image. Multiresolution image pyramid was constructed by multiresolution image. Secondly, the noise of image was better reduced in wavelet transform domain. Finally, the image was segment by classification method of Kohonen neural network that increases speed and accuracy of classification.

关键词： computer image processing image noise reduce image segmentation Neural network Wavelet transform

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