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Assessment on the component pattern of mountain vacation potential suitability in Hunan Province, China
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作者 DU Ting-ting LI Da-li ZHONG Yong-de 《Journal of Mountain Science》 SCIE CSCD 2022年第3期892-908,共17页
In China,mountain destinations offer more opportunities for vacation than beaches and springs,with a larger national coverage,richer landscapes and various diverse folk cultures.Hunan Province,for example,serves as a ... In China,mountain destinations offer more opportunities for vacation than beaches and springs,with a larger national coverage,richer landscapes and various diverse folk cultures.Hunan Province,for example,serves as a typical mountain tourism destination.Our research aims to assess the potential suitability and component pattern of holidaymaking in Hunan Province to support for scientific endeavors and sustainable use of mountain resources in Hunan.An approach for mapping potential suitability was constructed based on Weighted Linear Combination(WLC)of six primary factors including terrain,climate suitability period,biology and environment,human activity culture,hydrological landscape,and road infrastructure,which is calculated on the base of eleven secondary factors used as suitability criteria.Analytic hierarchy process(AHP)and geographic information system(GIS)were also integrated into the evaluation models to prepare six single and complex factor suitability maps for mountain vacation.Multivariate clustering was used to clarify the component pattern of single factor combinations in each mountain vacation suitability index(MVSI)class.The results have shown that:1)Regions with high suitability are distributed with characteristics of significant dispersion and limited aggregation;2)15.89%of the sample mountains are highly suitable,30.78%are moderately suitable,42.61%are marginally suitable and 10.72%are poorly suitable;3)The complexity of index combination corresponding to each level is different;4)Different combinations emphasize different destination needs.The study reveals the suitability class,characteristics,and limiting factors of mountain vacation in different geographical locations on the provincial scale.These elements play an instructive role in scientific decision-making and orderly exploitation of resources among Hunan’s Mountain destinations.Furthermore,the study can also be used as a basis for the suitability evaluation of mountain vacation in other areas. 展开更多
关键词 Mountain vacation Suitability evaluation component pattern Analytic hierarchy process Geographic information system Hunan Province
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A local and global statistics pattern analysis method and its application to process fault identification 被引量:4
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作者 张汉元 田学民 +1 位作者 邓晓刚 蔡连芳 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2015年第11期1782-1792,共11页
Traditional principal component analysis (PCA) is a second-order method and lacks the ability to provide higherorder representations for data variables. Recently, a statistics pattern analysis (SPA) framework has ... Traditional principal component analysis (PCA) is a second-order method and lacks the ability to provide higherorder representations for data variables. Recently, a statistics pattern analysis (SPA) framework has been incorporated into PCA model to make full use of various statistics of data variables effectively. However, these methods omit the local information, which is also important for process monitoring and fault diagnosis. In this paper, a local and global statistics pattern analysis (LGSPA) method, which integrates SPA framework and locality pre- serving projections within the PCK is proposed to utilize various statistics and preserve both local and global in- formation in the observed data. For the purpose of fault detection, two monitoring indices are constructed based on the LGSPA model. In order to identify fault variables, an improved reconstruction based contribution (IRBC) plot based on LGSPA model is proposed to locate fault variables. The RBC of various statistics of original process variables to the monitoring indices is calculated with the proposed RBC method. Based on the calculated RBC of process variables' statistics, a new contribution of process variables is built to locate fault variables. The simula- tion results on a simple six-variable system and a continuous stirred tank reactor system demonstrate that the proposed fault diagnosis method can effectively detect fault and distinguish the fault variables from normal variables. 展开更多
关键词 Principal component analysisLocal structure analysisStatistics pattern analysisFault diagnosiscontribution
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服装款式图识别与样板转换技术研究进展 被引量:7
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作者 李涛 杜磊 +2 位作者 黄振华 蒋玉萍 邹奉元 《纺织学报》 EI CAS CSCD 北大核心 2020年第8期145-151,共7页
为揭示款式图与服装样板之间的转换机制,概述了依据款式图进行人工制板的过程和方法,阐述了服装款式图特征参数识别和机器学习识别2种识别方法,重点论述在款式图识别基础上的样板转换技术,并对其优缺点进行了分析。参数化和匹配转换是... 为揭示款式图与服装样板之间的转换机制,概述了依据款式图进行人工制板的过程和方法,阐述了服装款式图特征参数识别和机器学习识别2种识别方法,重点论述在款式图识别基础上的样板转换技术,并对其优缺点进行了分析。参数化和匹配转换是目前最常用的样板转换方法:参数化转换适用于款式结构较为定型的服装,转换精度高,但不同款式图需要建立各自的转换模型;匹配转换可实现样板的快速转换,鲁棒性高,且规避了样板设计规则,不足是精度较低,且前期需要构建庞大的数据集作为训练集。研究认为,未来可从细化款式图识别粒度、服装款式图面料参数样板多领域跨域匹配、部件化样板智能生成3个领域开展相关研究。 展开更多
关键词 服装款式图 样板转换 图像识别 部件化样板 参数化转换 匹配转换
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基于组件化思想的测控软件开发平台设计与实现 被引量:9
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作者 赵海源 王丽芳 蒋泽军 《电子设计工程》 2013年第8期80-83,共4页
传统测控软件有着重复利用率低、不易维护、开发周期长并且成本高等缺点,通用测控软件开发平台的出现为解决上述问题提供了一种崭新的方法,该平台基于组件化思想,使用工厂、状态机等多种设计模式,在降低模块之间耦合性的同时,提高了代... 传统测控软件有着重复利用率低、不易维护、开发周期长并且成本高等缺点,通用测控软件开发平台的出现为解决上述问题提供了一种崭新的方法,该平台基于组件化思想,使用工厂、状态机等多种设计模式,在降低模块之间耦合性的同时,提高了代码的重用性。使用该软件平台开发的测控软件具有层次化、组件化和易升级的特点,并可灵活配置资源,进行系统功能重构。 展开更多
关键词 测控软件开发平台 组件化思想 设计模式 重构
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