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Urban Cemeteries in Southern Brazil: An Analysis of Planimetric Variations, Vegetation Indices and Temperature

Journal of Civil Engineering and Architecture 2020年第11期14卷 617-624页

作者： Paloma Carollo Toscan Alcindo Neckel Cleiton Korcelski Laércio Stolfo Maculan Daniela Maroni Tania Michel Fuga Laura Pasa Cambrussi Henrique Aniceto Kujawa Eliane Thaines Bodah Brian William Bodah Stricto Sensu Postgraduate Program in Architecture and Urbanism of IMED(PPGARQ-IMED) Group of Studies and Research on Urban Mobility(NEPMOUR)Passo Fundo/RS 99070-220Brazil University of Perugia Piazza Università1Perugia 06123Italy State University of New York Onondaga Community College4585 West Seneca TurnpikeSyracuseNY 13215USA Thaines and Bodah Center for Education and Development 840 South Meadowlark LaneOthelloWA 99344USA

Urban cemeteries have the potential to negatively impact the quality of health of populations in their immediate ***,it becomes important to understand the factors influencing the potential to disperse *** study examined the altimetry,Normalized Difference Vegetation Index(NDVI)and Land Surface Temperature(LST)in five urban cemeteries in the City of Passo Fundo/RS,in the south of Brazil,and the possible potential for the proliferation of contaminating agents present in these cemetery spaces in relation to a radius of 300 meters(m).The methodologies used Landsat 8 satellite images to sample the altimetry,NDVI and LST,applied to a regression model,to analyze the dispersion factors of the correlation of collected *** results showed a trend of contamination of the environment by urban cemeteries in Passo Fundo,in the regions with the highest population density and the lowest vegetative cover.

关键词： Contamination potential remote sensing urban cemeteries urban population

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Using NSGA-Ⅲ for optimising biomedical ontology alignment

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CAAI Transactions on Intelligence Technology 2019年第3期4卷 135-141页

作者： Xingsi Xue Jiawei Lu Junfeng Chen College of Information Science and Engineering Fujian University of TechnologyFuzhouFujianPeople’s Republic of China Intelligent Information Processing research Center Fujian University of TechnologyFuzhouFujianPeople’s Republic of China Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of TechnologyFuzhouFujianPeople’s Republic of China Fujian Key Laboratory for Automotive Electronics and Electric Drive Fujian University of TechnologyFuzhouFujianPeople’s Republic of China College of IOT Engineering Hohai UniversityChangzhouJiangsuPeople’s Republic of China

To support semantic inter-operability between the biomedical information systems, it is necessary to determine the correspondences between the heterogeneous biomedical concepts, which is commonly known as biomedical ontology matching. Biomedical concepts are usually complex and ambiguous, which makes matching biomedical ontologies a challenge. Since none of the similarity measures can distinguish the heterogeneous biomedical concepts in any context independently, usually several similarity measures are applied together to determine the biomedical concepts mappings. However, the ignorance of the effects brought about by different biomedical concept mapping’s preference on the similarity measures significantly reduces the alignment’s quality. In this study, a non-dominated sorting genetic algorithm (NSGA)-III-based biomedical ontology matching technique is proposed to effectively match the biomedical ontologies, which first utilises an ontology partitioning technique to transform the large-scale biomedical ontology matching problem into several ontology segment-matching problems, and then uses NSGA-III to determine the optimal alignment without tuning the aggregating weights. The experiment is conducted on the anatomy track and large biomedic ontologies track which are provided by the Ontology Alignment Evaluation Initiative (OAEI), and the comparisons with OAEI’s participants show the effectiveness of the authors’ approach.

关键词： ontology ontologies transform together Ontology complex context effects

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