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5th International Conference on Fuzzy Systems and Data Mining (FSDM)

作者： Zhang, Hua Chen, Yuntao Han, Chunyong Wang, Yi Wuhan Mech Tech Coll Wuhan Peoples R China Chinese Flight Test Estab Xian Peoples R China

ISBN: (纸本)9781643680194;9781643680187

In the process of radar electromagnetic environment simulation design under battlefield conditions, the RF (radio-frequency) pulse model is established by PDW5 parameters. In order to deal with the pulse flow density and loss probability, a high quality PDW flow is generated. As required by the training requirements, the algorithm of radar signal pulse flow formation based on Hash algorithm is proposed on the basis of common merging algorithm. The superiority of each algorithm is compared by simulation and complexity analysis.

关键词： Radar pulse flow signal algorithm research Electromagnetic environment

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research on Hypertension Prediction and Diagnosis Based on Big Data 20

Research on Hypertension Prediction and Diagnosis Based on B...

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2020 3rd International Conference on Digital Medicine and Image Processing

作者： Changxin Song Ke Ma Shanghai Urban Construction Vocational College China Qinghai Normal University China

ISBN: (纸本)9781450389044

With the rapid development of network information technology and big data mining technology, data collection, processing and analysis in different industries have begun to use big data Association rule algorithm, decision tree algorithm, etc, perform processing and display of various data resources. Hypertension, as a common cardiovascular disease in society, should be diagnosed and predicted in time according to the height, weight, smoking, drinking, kidney disease, family history of different individuals, physical exercise and eating habits and other data information, expand the sick population systolic blood pressure, diastolic blood pressure testing, and to predict the future development of hypertension disease, but the traditional data collection scheme through the way of inquiry, obviously, the accuracy of hypertension prediction cannot be guaranteed. Based on this, this paper uses the improved Big Data algorithm to carry out the collection, cleaning, transformation and modeling analysis of various characteristic parameters of hypertension diseases, and obtains the grades of the influence of different data indexes on hypertension, and put forward the coping strategies of hypertension disease prediction and prevention.

关键词： algorithm research Big data Diagnosis Hypertension prediction

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Parallel Processing algorithms of Ultrasound Images

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IETE JOURNAL OF research 2021年

作者： Wang, Linhong Chongqing Coll Elect Engn Sch Smart Hlth Chongqing 401331 Peoples R China

With the rapid development of microelectronics technology, digital image processing technology has deepened our lives. In the past, image processing mostly used software processing. Due to the large number of processing algorithms and the complexity of the algorithm, it could not meet the real-time requirements. Therefore, this paper proposes a method for parallel processing of ultrasound images based on fax by using a programmable logic device. Image fusion is to extract and synthesize complementary information from different sensors to obtain a more accurate, comprehensive and reliable description of the target or scene. The transmission of images and other images is achieved by the sound of various sensors, which is far from enough. This article presents the use of hardware description language to design image processing and drivers. The core of the print head, scan head and stepper motor can use the control interface to perform selective and parameter variable median filtering on the scanned graphic image through software. Edge sharpening, image field separation, binarization and other hardware processing are compared with a series of processing directly using software, and the optimal processing plan can be made well, and the processed image can be displayed and printed out on the. This design can produce practical results for designs in the fields of biomedicine, sports, and energy production.

关键词： algorithm research Digital ultrasound imaging Parallel processing Ultrasound imaging

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A Survey of Image Corner Detection Methods 19

A Survey of Image Corner Detection Methods

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3rd International Conference on High Performance Compilation, Computing and Communications (HP3C)

作者： He Yarui Li Yunhong Fang Qiaochu Xian Polytech Univ Xian 710600 Shaanxi Peoples R China

ISBN: (纸本)9781450366380

In this paper, we present an overview of various corner detection approaches that have been proposed in the last four decades. Corner detection algorithms can be broadly divided into intensity-based, contour-based and model-based methods. Intensity-based methods are mainly based on measuring local intensity variation of image. Contour-based methods find corners by analyzing the shape of edge contour. Model-based methods extract corners by fitting the local image into a predefined model. Furthermore, the robustness of eight different popular detectors are evaluated using the average repeatability and localization error criterions.

关键词： Corner detection Feature extraction algorithm research

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research on low power scheduling of heterogeneous multi core mission based on genetic algorithm 9

Research on low power scheduling of heterogeneous multi core...

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9th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)

作者： Zhu, Kai Ding, Yun JiangXi Normal Univ Sch Sci & Technol Nanchang 330027 Jiangxi Peoples R China

ISBN: (纸本)9781509048687

In recent years, the problem of energy consumption is becoming more and more serious. Multi core processor system, which can effectively control the operation speed and power consumption of the process engine, has become one of the effective ways to reduce the energy consumption of the system. Low power task scheduling based on heterogeneous multi-core system is a typical NP complete problem. Aiming at the existing poor operating efficiency of the algorithm is low and the energy saving effects of the problem, this paper proposes an improved heterogeneous multi-core low-power scheduling strategy. An improved genetic algorithm is proposed for the task partitioning strategy of heterogeneous multi-core low power scheduling algorithms. A low power scheduling algorithm based on key task analysis is proposed in this paper, which is based on the analysis of the current popular dynamic voltage scaling technology. Study on the influence of key task of real-time tasks is first analyzed in this paper, the task allocation strategy under a given priority task node, timeliness and urgency, in order to meet the deadline requirements, in order to minimize the energy consumption of the system as the goal, adjust the voltage level of the task execution unit. The experimental results show that the task partitioning strategy for heterogeneous multi-core low-power scheduling algorithm to expand the solution space of the problem, provide a more extensive task allocation scheme for low power scheduling;low power scheduling algorithm to effectively reduce the energy consumption of the system significantly reduces the time complexity of the algorithm.

关键词： Genetic algorithm heterogeneous multi-core key task low power scheduling algorithm research

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research on Modeling and Machining algorithm of Multi-shear and Multi-punch CNC Transverse Shear Line 8

Research on Modeling and Machining Algorithm of Multi-shear ...

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IEEE International Conference on Cybernetics and Intelligent Systems (CIS) / IEEE Conference on Robotics, Automation and Mechatronics (RAM)

作者： Tao, Jianhua Wu, Tingjun Li, Dacheng Lu, Yongyan Wu, Wenqiang Guangzhou Univ Sch Mech & Elect Engn Guangzhou 51006 Guangdong Peoples R China

ISBN: (纸本)9781538631355

In view of the disadvantage on the CNC transverse shear line of silicon steel sheet, the paper propose and study a method about multi-shear and multi-punch CNC transverse shear line. Its aim is to achieve the goal of multi-shear and multi-punching, flexibility system, labor intensity and so on. The definition of multi-shear and multi-punch is given by analyzing the mechanical structure and process flow of transverse shear line. Based on time Petri net, establishing TPN model to analyze the relationship of concurrency and conflict. Finally, this paper creates an optimized mathematical model and proposes the general flow of system algorithm, with emphasis on algorithm design for calculation and optimization.

关键词： multi-shear multi-punch transverse shear line algorithm research

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algorithm research and Implementation of Fast Identification of Barcode

Algorithm Research and Implementation of Fast Identification...

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7th International Conference on Computer Science and Education

作者： Yang, Ou Guangxi Teachers Educ Univ Inst Appl Technol Comp Nanning Peoples R China

ISBN: (纸本)9781467302395

This thesis makes analysis through digital image processing, in which methods such as Median Filtering Noise Reduction, Sectoring Threshold Segmentation, Logical Values Match and so on are put into use to process the digital image data of barcode and to implement its fast identification. Index Terms Bar Code, Image processing, Fast Identification of Bar code Automatic identification technology of barcode has the advantage of low cost and has been being widely used in many fields: commodity circulation, industrial production automation, office automation and so forth. The barcode, the carrier of information, plays a key role all along. With more and more information in modern enterprise, great emphasis is put on quick acquisition and efficient processing of information. As a result, it is of remarkable importance to study the fast identification of barcode.

关键词： algorithm research Fast Identification Barcode

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Plant gene regulation algorithm mediated by agrobacterium tumefaciens Atu4860

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JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY 2018年第2期21卷 357-362页

作者： Wu, Xiao Li, Na Zhang, Xingtao Qian, Yumei Wang, Weiwei Suzhou Univ Sch Biol & Food Engn Suzhou 234000 Peoples R China

At present, the effect of plant gene regulation algorithm based on pollen tube pathway is not obvious. Therefore, a plant gene regulation algorithm based on Agrobacterium tumefaciens Atu4860 is proposed. Firstly, the Agrobacterium tumefaciens Atu4860 is analyzed, then the structure of gene regulatory algorithm is analyzed and formalized, and the basic elements of the algorithm are analyzed. By introducing Agrobacterium tumefaciens Atu4860 into the gene regulation algorithm, a plant gene regulation algorithm based on Agrobacterium tumefaciens Atu4860 is realized. Experiments show that the proposed algorithm can effectively improve the quality of plant transgene, and the implementation process is relatively easy.

关键词： Agrobacterium tumefaciens Plant gene regulation algorithm research

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Personalized recommendation system of e-commerce based on big data analysis

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JOURNAL OF INTERDISCIPLINARY MATHEMATICS 2018年第5期21卷 1243-1247页

作者： Chen, Hua Zhejiang Agr Business Coll Dept Agr Econ & Management Shaoxing 312000 Peoples R China

In the traditional e-commerce system, the keyword matching algorithm is used to implement the function of commodity search, and only the goods containing the customer input keyword can be obtained. In view of this limitation, a personalized recommendation system for e-commerce based on big data analysis is studied. The use of improving the search algorithm for goods, personalization system rules of e-commerce and text matching algorithm are introduced, so in the search of goods, it not only displays the exact matching of goods, but provides the goods similar to their requirements, for reference. The research shows that the personalized recommendation system of e-commerce based on big data analysis can not only increase the transaction opportunities, explore potential customers, but also improve the level of personalized service. This is very important for the enterprise economy and the personalized development of e-commerce.

关键词： Big data analysis e-commerce Personalized recommendation algorithm research

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research on English Language Learning algorithm Based on Speech Recognition

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AGRO FOOD INDUSTRY HI-TECH 2017年第3期28卷 2653-2656页

作者： Liu, Jinping Zhengzhou Tech Coll Zhengzhou Peoples R China

English has become one of the most important communicative languages in the modern era, and has become the inevitable requirement of the development of the times. However, there are still some deficiencies and defects in our English learning, therefore, in this study, the method of speech recognition in English learning was analyzed, and its application in practice was studied and compared, so as to provide some theoretical basis and scientific support for the promotion and learning of English in china.

关键词： speech recognition English language learning algorithm research

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