基于动态链表智能识别检测系统的设计与应用
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摘要
随着人工智能的深入发展,模式识别技术现已通过人脸识别、图像识别等应用投入在交通、医疗等多个行业。但目前多数识别检测系统在技术实现方面固定了应用模式和范围,局限了相关系统的可扩展性及应用拓展。有鉴于此,设计开发了一个基于动态链表结构的、可支持多模式识别技术的智能检测系统,该系统可根据动态链表结构灵活识别多种模式环境下的检测目标,实现识别检测系统的智能化。此外,结合中小学教师信息技术应用能力提升工程为研究应用背景,以应用视频识别技术诊断中小学教师信息技术应用能力为案例,介绍相关技术的应用设计与实现。
With the further development of artificial intelligence,pattern recognition technology has been put into many industries such as logistics and medical care through applications on face recognition,image recognition and so on.However,at present most recognition and detection systems have fixed their application mode and scope in technical implementation,and have limited these systems' extension and application.Hence,this paper designs and develops an intelligent detection system based on dynamic linked list structure that can dynamically support multi-pattern recognition technologies.The system can flexibly recognize the detection targets in various mode environments according to the structure of the dynamic linked list,and realize the intellectualization of the recognition and detection system.In addition,combined with the national primary and secondary school teachers information technology application ability enhancement project for the research application background,and applying the video recognition technology to diagnose the information technology application ability of primary and middle school teachers as an example to introduce the application design and implementation of related technologies.
With the further development of artificial intelligence,pattern recognition technology has been put into many industries such as logistics and medical care through applications on face recognition,image recognition and so on.However,at present most recognition and detection systems have fixed their application mode and scope in technical implementation,and have limited these systems' extension and application.Hence,this paper designs and develops an intelligent detection system based on dynamic linked list structure that can dynamically support multi-pattern recognition technologies.The system can flexibly recognize the detection targets in various mode environments according to the structure of the dynamic linked list,and realize the intellectualization of the recognition and detection system.In addition,combined with the national primary and secondary school teachers information technology application ability enhancement project for the research application background,and applying the video recognition technology to diagnose the information technology application ability of primary and middle school teachers as an example to introduce the application design and implementation of related technologies.
引文
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[11]林锦彬,庄伯金.基于HOG和SVM的图像识别方法[EB/OL].[2013-12-23].http:∥www.paper.edu.cn/releasepaper/content/201312-721.
[2]王辰.基于图像配准的物流分拣检测系统的研究与实现[D].南京:南京邮电大学,2014.
[3]于秀丽.基于MATLAB模式识别实现环境污染等级预测的研究[J].电脑与信息技术,2017,25(5):16-18.
[4]苏小红,陈惠鹏,孙志岗.C语言大学实用教程[M].3版.北京:电子工业大学出版社,2012.
[5]瞿中,吴瑜,常庆丽,等.软件工程[M].2版.北京:机械工业出版社,2011.
[6]辛运帏,饶一梅.Java语言程序设计[M].北京:人民邮电出版社,2009.
[7]张荣华,田泽,韩炜.基于链表的动态存储器管理设计与实现[J].计算机技术与发展,2011,21(7):250-253.
[8]教育部.全国中小学教师信息技术应用能力标准(试行)[S].2014-05-27.
[9]李清霞,魏文红.基于视频摘要的智能视频识别系统的设计与实现[J].电子设计工程,2013,21(16):65-68.
[10]李潇.视频识别在HSE监控平台中的研究与应用[D].上海:华东理工大学,2013.
[11]林锦彬,庄伯金.基于HOG和SVM的图像识别方法[EB/OL].[2013-12-23].http:∥www.paper.edu.cn/releasepaper/content/201312-721.