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Meta-analysis of potentially confounding effect of class size on associations between object-oriented metrics and maintainability
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作者 卢红敏 周毓明 徐宝文 《Journal of Southeast University(English Edition)》 EI CAS 2008年第3期281-283,共3页
This paper uses three size metrics,which are collectable during the design phase,to analyze the potentially confounding effect of class size on the associations between object-oriented(OO)metrics and maintainability... This paper uses three size metrics,which are collectable during the design phase,to analyze the potentially confounding effect of class size on the associations between object-oriented(OO)metrics and maintainability.To draw as many general conclusions as possible,the confounding effect of class size is analyzed on 127 C++ systems and 113 Java systems.For each OO metric,the indirect effect that represents the distortion of the association caused by class size and its variance for individual systems is first computed.Then,a statistical meta-analysis technique is used to compute the average indirect effect over all the systems and to determine if it is significantly different from zero.The experimental results show that the confounding effects of class size on the associations between OO metrics and maintainability generally exist,regardless of whatever size metric is used.Therefore,empirical studies validating OO metrics on maintainability should consider class size as a confounding variable. 展开更多
关键词 OBJECT-ORIENTED metrics VALIDATION class size CONFOUNDING MAINTAINABILITY
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基于EJB的业务规则引擎的设计和实现 被引量:7
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作者 孙勇强 邓咏梅 李续武 《计算机工程》 CAS CSCD 北大核心 2005年第20期220-222,共3页
业务规则引擎技术提高了企业应用系统性能。首先介绍了EJB,然后从设计和实现两个方面讨论了一种基于EJB的业务规则引擎技术。
关键词 业务规则引擎 EJB 对象() 规则 动作
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Synthesis Analysis of Soil Erosion for Three-River Headwater Region Based on GIS 被引量:11
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作者 陈琼 吴万贞 +3 位作者 周强 杨玉含 Wan-zhen Yu-han 《Agricultural Science & Technology》 CAS 2010年第5期155-158,共4页
In this paper,based on the common soil erosion model,the Three-River Headwaters region was select for study object. GIS methods are applied to conduct Semi-quantitative assessment for different types of soil erosion,a... In this paper,based on the common soil erosion model,the Three-River Headwaters region was select for study object. GIS methods are applied to conduct Semi-quantitative assessment for different types of soil erosion,and some results are concluded. The water erosion occurs in High Mountain and extra-high mountain of Yushu,Nangqian,Banma and Jiuzhi County in the southeast and south of the Three-River Headwaters region. The degree of erosion is prone to topography,precipitation,river and human activity. The freeze-thaw erosion mainly distributes in the northwest of the Three-River Headwaters region. The area of middle and above middle erosion degree accounts for roughly 50%. 展开更多
关键词 Three-River Headwaters region Soil erosion Comprehensive analysis
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Object-based Classification of Baltic Sea Ice Extent and Concentration in Winter 2011 被引量:2
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作者 Aleksandra Mazur Adam Krezel 《Journal of Earth Science and Engineering》 2012年第8期488-495,共8页
The Baltic Sea is a brackish, mediterranean sea located in the middle latitudes of Europe. It is seasonally covered with ice. The ice covered areas during a typical winter are the Bothnian Bay, the Gulf of Finnland an... The Baltic Sea is a brackish, mediterranean sea located in the middle latitudes of Europe. It is seasonally covered with ice. The ice covered areas during a typical winter are the Bothnian Bay, the Gulf of Finnland and the Gulf of Riga. Sea ice plays an important role in dynamic and thermodynamic processes and also has a strong impact on the heat budget of the sea. Also a large part of transport goes by sea, and there is a need to create ice charts to make the marine transport safe. Because of high cloudiness in winter season and small amount of light in the northern part of the Baltic Sea, radar data are the most important remote sensing source of sea ice information. The main goal of the following studies is classification of the Baltic sea ice cover using radar data. The ENVISAT ASAR (Advanced Synthetic Aperture Radar) acquires data in five different modes. In the following studies ASAR Wide Swath Mode data were used. The Wide Swath Mode, using the ScanSAR technique provides medium resolution images (150 m) over a swath of 405 kin, at HH or VV polarization. In following work data from February 13th, February 24th and April 6th, 2011, representing three different sea ice situations were chosen. OBIA (object-based image analysis) methods and texture parameters were used to create sea ice extent and sea ice concentration charts. Based on object-based methods, it can separate single sea ice floes within the ice pack and calculate more accurately sea ice concentration. 展开更多
关键词 Baltic Sea sea ice ENVISAT ASAR object-based image analysis.
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Is It a Vain Hope That Museum Children Education Applies to All Children? --A Research on the Classification and Age-group Division of Children
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作者 Zhou Jingjing 《Review of Global Academics》 2014年第1期5-14,共10页
The museum education focusing on the children is different from adult acceptors for the mental development of the children presents obvious stage features. Therefore, a clear definition on the ages of the children in ... The museum education focusing on the children is different from adult acceptors for the mental development of the children presents obvious stage features. Therefore, a clear definition on the ages of the children in the service must be made. The children in different ages can find their own educational project groups in a short time according to their own categories and ages. To facilitate the branding of routine childhood education programs, improve the implementing benefit of childhood education programs and realize the maximization of resource utilization in the Museum Children Education, this study firstly generalizes and extracts one of the common problems that affect the implementing benefit of Chinese Museum Children Education project based on the case analysis - focus and age-group of service objects. Then this paper (article) explores it step by step. Finally the article combines the analyses with the empirical researches on feedback information acquired in on-site observations and semi-structured interviews, to propose improvement suggestions for the problem. 展开更多
关键词 children acceptor education focus-group age-group
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An Intelligent Learning Algorithm for Improving BIM Object Classification and Recognition
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作者 WANG Ru BENMANSOUR Oussama XING Ying 《施工技术(中英文)》 CAS 2024年第20期86-93,共8页
Building information modeling(BIM)object classification takes a lot of time and energy.Misclassification or omission of any object may lead to the emergence of abnormal results,which have a great impact on the project... Building information modeling(BIM)object classification takes a lot of time and energy.Misclassification or omission of any object may lead to the emergence of abnormal results,which have a great impact on the project workflow and results.Roundly understanding BIM object classification,by improving Swin Transformer classifier algorithm parameters,using the model primitives extracted from IFC format BIM model file,deep learning of 7 types of BIM object categories is taken.Through the performance and evaluation indicators obtained in training,the results improve the classification accuracy. 展开更多
关键词 building information modeling(BIM) object classification deep learning model primitive performance
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Identifying Alpine Wetlands in the Damqu River Basin in the Source Area of the Yangtze River Using Object-based Classification Method 被引量:2
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作者 张继平 张镱锂 +2 位作者 刘林山 丁明军 张学儒 《Journal of Resources and Ecology》 CSCD 2011年第2期186-192,共7页
Alpine wetlands are very sensitive to global change, have great impacts on the hydrological condition of rivers, and are closely related to peoples' living in lower reaches. It is essential to monitor alpine wetland ... Alpine wetlands are very sensitive to global change, have great impacts on the hydrological condition of rivers, and are closely related to peoples' living in lower reaches. It is essential to monitor alpine wetland changes to appropriately manage and protect wetland resources; however, it is quite difficult to accurately extract such information from remote sensing images due to spectral confusion and arduous field verification. In this study, we identified different wetland types in the Damqu River Basin located in the Yangze River source region from Landsat remote sensing data using the object-based method. In order to ensure the interpretation accuracy of wetland, a digital elevation model (DEM) and its derived data (slope, aspect), Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), and Kauth-Thomas transformation were considered as the components of the spectral characteristics of wetland types. The spectral characteristics, texture features and spatial structure characteristics of each wetland type were comprehensively analyzed based on the success of image segmentation. The extraction rules for each wetland type were established by determining the thresholds of the spatial, texture and spectral attributes of typical parameter layers according to their histogram statistics. The classification accuracy was assessed using error matrixes and field survey verification data. According to the accuracy assessment, the total accuracy of image classification was 89%. 展开更多
关键词 alpine wetland remote sensing object-based classification Damqu River Basin
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Land Cover Status in the Koshi River Basin,Central Himalayas 被引量:5
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作者 WU Xue GAO Jungang +3 位作者 ZHANG Yili LIU Linshan ZHAO Zhilong Basanta PAUDEL 《Journal of Resources and Ecology》 CSCD 2017年第1期10-19,共10页
The Koshi River Basin is in the middle of the Himalayas,a tributary of the Ganges River and a very important cross-border watershed.Across the basin there are large changes in altitude,habitat complexity,ecosystem int... The Koshi River Basin is in the middle of the Himalayas,a tributary of the Ganges River and a very important cross-border watershed.Across the basin there are large changes in altitude,habitat complexity,ecosystem integrity,land cover diversity and regional difference and this area is sensitive to global climate change.Based on Landsat TM images,vegetation mapping,field investigations and 3S technology,we compiled high-precision land cover data for the Koshi River Basin and analyzed current land cover characteristics.We found that from source to downstream,land cover in the Koshi River Basin in 2010 was composed of water body(glacier),bare land,sparse vegetation,grassland,wetland,shrubland,forest,cropland,water body(river or lake) and built-up areas.Among them,grassland,forest,bare land and cropland are the main types,accounting for 25.83%,21.19%,19.31% and 15.09% of the basin's area respectively.The composition and structure of the Koshi River Basin land cover types are different between southern and northern slopes.The north slope is dominated by grassland,bare land and glacier;forest,bare land and glacier are mainly found on northern slopes.Northern slopes contain nearly seven times more grassland than southern slopes;while 97.13% of forest is located on southern slopes.Grassland area on northern slope is 6.67 times than on southern slope.The vertical distribution of major land cover types has obvious zonal characteristics.Land cover types from low to high altitudes are cropland,forest,Shrubland and mixed cropland,grassland,sparse vegetation,bare land and water bodies.These results provide a scientific basis for the study of land use and cover change in a critical region and will inform ecosystem protection,sustainability and management in this and other alpine transboundary basins. 展开更多
关键词 HIMALAYAS Koshi River Basin land cover pattern vertical distribution object-oriented method
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The Unlikely Objects of 吃(Chi)
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作者 Zhang Ning-ning 《Fudan Journal of the Humanities and Social Sciences》 2012年第2期124-142,共19页
Drawing on cognitive linguistic theories, this study investigates the various meanings of the Chinese verb 吃(chi) and the types of objects that it takes. It is concluded that the many meanings of吃 are organized in... Drawing on cognitive linguistic theories, this study investigates the various meanings of the Chinese verb 吃(chi) and the types of objects that it takes. It is concluded that the many meanings of吃 are organized in a radial network, with the primary meaning at the center and extended meanings at the periphery and that extended meanings are derived from, and thus can be traced back to, the primary meaning. This study also suggests that the productivity of the 吃 + object construction is affected by the meaning of 吃, the interpretation of its objects, as well as social and linguistic convention. 展开更多
关键词 the object construction radial network meaning extension
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On classifying unitary modules by their Dirac cohomology 被引量:1
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作者 HUANG Jing-Song PANDZIC Pavle VOGAN David 《Science China Mathematics》 SCIE CSCD 2017年第11期1937-1962,共26页
Let G be a connected real reductive group with maximal compact subgroup K of the same rank as G. Dirac cohomology of an A_q(λ) module can be identified with a geometric object—the k-dominant part of a face of the co... Let G be a connected real reductive group with maximal compact subgroup K of the same rank as G. Dirac cohomology of an A_q(λ) module can be identified with a geometric object—the k-dominant part of a face of the convex hull of the Weyl group orbit of the parameter λ + ρ. We show how Dirac cohomology can be used as a parameter to classify the A_q(λ) modules. 展开更多
关键词 (g K)-module A_q(λ) module Dirac cohomology
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Object-Based Method Outperforms Per-Pixel Method for Land Cover Classification in a Protected Area of the Brazilian Atlantic Rainforest Region 被引量:1
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作者 T.RITTL M.COOPER +1 位作者 R.J.HECK M.V.R.BALLESTER 《Pedosphere》 SCIE CAS CSCD 2013年第3期290-297,共8页
Conventional image classification based on pixels hinders the possibilities to obtain information contained in images, while modern object-based classification methods increase the acquisition of information about the... Conventional image classification based on pixels hinders the possibilities to obtain information contained in images, while modern object-based classification methods increase the acquisition of information about the object and the context in which it is inserted in the image. The objective of this study was to investigate the performance of different classification methods for land cover mapping in the vicinity of the Alto Ribeira Tourist State Park, a Brazilian Atlantic rainforest area. Two classification methods were tested, including i) a hybrid per-pixel classification using the image processing software ERDAS Imagine version 9.1 and ii) an object-based classification using the software eCognition version 5. In the first method, six different classes were established, while in the second method, another two classes were established in addition to the six classes in the first method. Accuracy assessment of the classification results presented showed that the object-based classification with a Kappa index value of 0.8687 outperformed the per-pixel classification with a Kappa index value of 0.2224. Application of the user's knowledge during the object-based classification process achieved the desired quality; therefore, the use of inter-relationships between objects, superelasses, subclasses, and neighboring classes were critical to improving the efficiency of land cover classification. 展开更多
关键词 accuracy assessment image classification Kappa index user's knowledge
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