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Feasibility of using Vis-NIR spectroscopy and PXRF spectrometry to estimate regional soil cadmium concentration

Journal of Environmental Sciences 2024年第11期145卷 88-96页

作者： Mengxue Wan Fan Ya’nan Wentao Jiao Wenyou Hu Mingchao Lyu Weidong Li chuanrong zhang Biao Huang Key Laboratory of Soil Environment and Pollution Remediation Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China Research Center for Eco-Environmental Sciences Chinese Academy of SciencesBeijing 100085China Department of Environmental Science Zhejiang UniversityHangzhou 310058China Guangdong Provincial Academy of Environmental Science Guangzhou 510045China Department of Geography University of ConnecticutStorrsCT 06269USA

Conventionally,soil cadmium(Cd)measurements in the laboratory are expensive and timeconsuming,involving complex processes of sample preparation and chemical *** study aimed to identify the feasibility of using sensor data of visible near-infrared reflectance(Vis-NIR)spectroscopy and portable X-ray fluorescence spectrometry(PXRF)to estimate regional soil Cd concentration in a time-and *** sensor data of Vis-NIR and PXRF,and Cd concentrations of 128 surface soils from Yunnan Province,China,were ***-product analysis(OPA)was used for synthesizing the sensor data and Granger-Ramanathan averaging(GRA)was applied to fuse the model *** neural network(ANN)models were built using Vis-NIR data,PXRF data,and OPA data,*** showed that:(1)ANN model based on PXRF data performed better than that based on Vis-NIR data for soil Cd estimation;(2)Fusion methods of both OPA and GRA had higher predictive power(R^(2))=0.89,ratios of performance to interquartile range(RPIQ)=4.14,and lower root mean squared error(RMSE)=0.06,in ANN model based on OPA fusion;R^(2)=0.88,RMSE=0.06,and RPIQ=3.53 in GRA model)than those based on either Vis-NIR data or PXRF *** conclusion,there exists a great potential for the combination of OPA fusion and ANN to estimate soil Cd concentration rapidly and accurately.

关键词： Artificial neural network Outer-product analysis Granger-Ramanathan averaging Soil Cd concentration Fusion method

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The framework of a geospatial semantic web-based spatial decision support system for Digital Earth

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International Journal of Digital Earth 2010年第2期3卷 111-134页

作者： chuanrong zhang Tian Zhao Weidong Li Department of Geography and Center for Environmental Sciences and Engineering University of ConnecticutStorrsCT 06269USA Department of Computer Science University of WisconsinMilwaukeeWI 53201USA College of Resources and Environment Huazhong Agricultural UniversityWuhan 430070China

While significant progress has been made to implement the Digital Earth vision,current implementation only makes it easy to integrate and share spatial data from distributed sources and has limited capabilities to integrate data and models for simulating social and physical *** achieve effectiveness of decisionmaking using Digital Earth for understanding the Earth and its systems,new infrastructures that provide capabilities of computational simulation are *** paper proposed a framework of geospatial semantic web-based interoperable spatial decision support systems(SDSSs)to expand capabilities of the currently implemented infrastructure of Digital *** technologies applied in the framework such as heterogeneous ontology integration,ontology-based catalog service,and web service composition were *** proposed a partitionrefinement algorithm for ontology matching and integration,and an algorithm for web service discovery and *** proposed interoperable SDSS enables decision-makers to reuse and integrate geospatial data and geoprocessing resources from heterogeneous sources across the *** on the proposed framework,a prototype to assist in protective boundary delimitation for Lunan Stone Forest conservation was implemented to demonstrate how ontology-based web services and the services-oriented architecture can contribute to the development of interoperable SDSSs in support of Digital Earth for decision-making.

关键词： spatial decision support system(SDSS) web services ontology geospatial semantic web Digital Earth

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Parallel computing solutions for Markov chain spatial sequential simulation of categorical fields

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International Journal of Digital Earth 2019年第5期12卷 566-582页

作者： Weixing zhang Weidong Li chuanrong zhang Tian Zhao Department of Geography University of ConnecticutStorrsUSA Center for Environmental Science and Engineering University of ConnecticutStorrsUSA Connecticut State Data Center University of ConnecticutStorrsUSA Department of Computer Science University of Wisconsin-MilwaukeeMilwaukeeUSA

The Markov chain random field(MCRF)model is a spatial statistical approach for modeling categorical spatial variables in multiple ***,this approach tends to be computationally costly when dealing with large data sets because of its sequential simulation ***,improving its computational efficiency is necessary in order to run this model on larger sizes of spatial *** this study,we suggested four parallel computing solutions by using both central processing unit(CPU)and graphics processing unit(GPU)for executing the sequential simulation algorithm of the MCRF model,and compared them with the nonparallel computing solution on computation time spent for a land cover *** four parallel computing solutions are:(1)multicore processor parallel computing(MP),(2)parallel computing by GPU-accelerated nearest neighbor searching(GNNS),(3)MP with GPU-accelerated nearest neighbor searching(MPGNNS),and(4)parallel computing by GPU-accelerated approximation and GPU-accelerated nearest neighbor searching(GA-GNNS).Experimental results indicated that all of the four parallel computing solutions are at least 1.8×faster than the nonparallel ***,the GA-GNNS solution with 512 threads per block is around 83×faster than the nonparallel solution when conducting a land cover post-classification with a remotely sensed image of 1000×1000 pixels.

关键词： Markov chain random field parallel computing nearest neighbor searching approximation graphics processing unit

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Authenticated Diffie-Hellman Key Agreement Protocol with Forward Secrecy

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Wuhan University Journal of Natural Sciences 2008年第6期13卷 641-644页

作者： zhang chuanrong zhang Yuqing Telecommunication Engineering Institute Air Force Engineering University Xi'an 710077 Shaanxi China State Key Laboratory of Information Security/Graduate University of Chinese Academy of Science Beijing 100049 China

Forward secrecy is an important security property in key agreement protocol. Based on Ham＇s protocol, in this paper a new authenticated Diffie-Hellman key agreement protocol with half forward secrecy is proposed. This protocol is also based on a single cryptographic assumption, and is user authentication and shared key authentication. More importantly, our protocol provides forward secrecy with respect to one of the parties. For this reason, besides the advantages of Ham＇s protocol, in practice, our protocol can reduce the damages resulted from the disclosure of the user＇s secret key and it is very beneficial to today＇s communication with portable devices.

关键词： cryptographic protocol authenticated Diffie-Hellman key agreement protocol forward secrecy

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A parallel approach for improving Geo-SPARQL query performance

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International Journal of Digital Earth 2015年第5期8卷 383-402页

作者： Tian Zhao chuanrong zhang Luc Anselin Weidong Li Ke Chen Department of Computer Science University of Wisconsin–MilwaukeeMilwaukeeWIUSA Department of Geography&Center of Environmental Sciences and Engineering University of ConnecticutStorrsCTUSA School of Geographical Sciences&Urban Planning Arizona State UniversityTempeAZUSA

Geospatial Semantic Web promises better retrieval geospatial information for Digital Earth systems by explicitly representing the semantics of data through *** also promotes sharing and reuse of geospatial data by encoding it in Semantic Web languages,such as RDF,to form geospatial knowledge *** many applications,rapid retrieval of spatial data from the knowledge base is ***,spatial data retrieval using the standard Semantic Web query language–Geo-SPARQL–can be very inefficient because the data in the knowledge base are no longer indexed to support efficient spatial *** recent research has been devoted to improving query performance on general knowledge base,it is still challenging to support efficient query of the spatial data with complex topological *** research introduces a query strategy to improve the query performance of geospatial knowledge base by creating spatial indexing on-the-fly to prune the search space for spatial queries and by parallelizing the spatial join computations within the *** focus on improving the performance of Geo-SPARQL queries on knowledge bases encoded in *** initial experiments show that the proposed strategy can greatly reduce the runtime costs of Geo-SPARQL query through on-the-fly spatial indexing and parallel execution.

关键词： Geo-SPARQL parallel geocomputation geospatial semantic web

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DBSTC:an effective method for discovering cluster features with different spatiotemporal densities

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International Journal of Digital Earth 2018年第6期11卷 609-634页

作者： Zhenhong Du Yuhua Gu chuanrong zhang Feng zhang Renyi Liu Jean Sequeira Geographic Information Science Institution School of Earth SciencesZhejiang UniversityHangzhouPeople’s Republic of China Zhejiang Key Laboratory of Geographic Information System Zhejiang UniversityHangzhouPeople’s Republic of China Geography and Center for Environmental Sciences and Engineering University of ConnecticutStorrsCTUSA Department of Computer Science Laboratoire des Sciences de l’Information et des Systemes(LSIS)Aix-Marseille UniversityMarseilleFrance

Spatiotemporal clustering is one of the most advanced research topics in geospatial data *** has been challenging to discover cluster features with different spatiotemporal densities in geographic information data *** paper presents an effective density-based spatiotemporal clustering algorithm(DBSTC).First,we propose a method to measure the degree of similarity of a core point to the geometric center of its spatiotemporal reachable neighborhood,which can effectively solve the isolated noise point misclassification problem that exists in the shared nearest neighbor ***,we propose an ordered reachable time window distribution algorithm to calculate the reachable time window for each spatiotemporal point in the data set to solve the problem of different clusters with different temporal *** effectiveness and advantages of the DBSTC algorithm are demonstrated in several simulated data *** addition,practical applications to seismic data sets demonstrate the capability of the DBSTC algorithm to uncover clusters of foreshocks and aftershocks and help to improve the understanding of the underlying mechanisms of dynamic spatiotemporal processes in digital earth.

关键词： Data mining spatiotemporal clustering density-based clustering ordered reachable time window distribution shared nearest neighbor

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ParSymG: a parallel clustering approach for unsupervised classification of remotely sensed imagery

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International Journal of Digital Earth 2017年第5期10卷 471-489页

作者： Zhenhong Du Yuhua Gu chuanrong zhang Feng zhang Renyi Liu Jean Sequeira Weidong Li Geographic Information Science Institution School of Earth SciencesZhejiang UniversityHangzhouPeople’s Republic of China Zhejiang Key Laboratory of Geographic Information System Zhejiang UniversityHan gzhouPeople’s Republic of China Geography and Center for Envrionmental Sciences and Engineering University of ConnecticutStorrsCTUSA Department of Computer Science Aix-Marseille UniversityMarseilleFrance

Symmetry is a common feature in the real *** may be used to improve a classification by using the point symmetry-based distance as a measure of ***,it is time consuming to calculate the point symmetry-based *** an efficient parallel point symmetry-based K-means algorithm(ParSym)has been propsed to overcome this limitation,ParSym may get stuck in sub-optimal solutions due to the K-means technique it *** this study,we proposed a novel parallel point symmetry-based genetic clustering(ParSymG)algorithm for unsupervised *** genetic algorithm was introduced to overcome the sub-optimization problem caused by inappropriate selection of initial centroids in ParSym.A message passing interface(MPI)was used to implement the distributed master–slave *** make the algorithm more time-efficient,a three-phase speedup strategy was adopted for population initialization,image partition,and kd-tree structure-based nearest neighbor *** advantages of ParSymG over existing ParSym and parallel K-means(PKM)alogithms were demonstrated through case studies using three different types of remotely sensed *** in speedup and time gain proved the excellent scalability of the ParSymG algorithm.

关键词： Unsupervised classification parallel clustering genetic algorithm point symmetry-based distance

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基层医院高血压脑出血个性化微创治疗的临床研究

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全科医学临床与教育 2024年第4期22卷 317-320页

作者：梁龙张传荣陈波蔡云祥郑金荣浙江省肿瘤医院台州院区(台州市肿瘤医院)神经外科、台州市微创介入和大数据人工智能重点实验室浙江台州317502

目的探讨基层医院高血压脑出血各种微创手术方式的临床效果。方法选择符合微创手术适应证的56例高血压脑出血患者,根据不同患者采取个性化手术方式(软通道穿刺、硬通道穿刺、锁孔显微镜下血肿清除、小骨窗内镜下血肿清除、立体定向血肿... 详细信息

目的探讨基层医院高血压脑出血各种微创手术方式的临床效果。方法选择符合微创手术适应证的56例高血压脑出血患者,根据不同患者采取个性化手术方式(软通道穿刺、硬通道穿刺、锁孔显微镜下血肿清除、小骨窗内镜下血肿清除、立体定向血肿穿刺抽吸引流术等)进行微创手术,观察疗效。结果56例患者术后再出血4例,再出血率7.14%。随访3~6个月,采用日常生活能力(ADL)评定:Ⅰ级8例、Ⅱ级17例、Ⅲ级24例、Ⅳ级2例、V级1例、死亡4例(包括3例因经济及对预后不良难以接受原因放弃治疗),恢复良好率87.50%,死亡率7.14%。结论基层医院高血压脑出血患者因发病时间短等情况有其特殊性,对符合手术适应证的不同患者采取个性化的微创手术方式进行干预,使得取得良好预后成为可能。

关键词：高血压脑出血微创术个性化手术

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Problem identification and revitalization strategies for the recovery and reconstruction of traditional villages in the Ms 6.8 Luding Earthquake

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Journal of Mountain Science 2024年第2期21卷 361-379页

作者： HUANG Chao QIU Jian LIU Chun JIANG Rui ZHAO chuanrong zhang Yi School of Architecture and Research Center of Space Planning and Engineering Design Southwest Jiaotong UniversityChengdu 611756China Sichuan Provincial Rural Construction and Development Center Chengdu 610041China Sichuan Institute of Urban and Rural Construction Chengdu 610043China China Association for Promoting Democracy(CAPD)Sichuan Provincial Committee Chengdu 610016China Sichuan Provincial Architectural Design and Research Institute(SADI) Chengdu 610095China

Post-disaster reconstruction is a topic of global concern,and traditional villages have special heritage attributes and need to face more requirements and obstacles in post-disaster *** paper summarizes four concepts based on the research on post-disaster reconstruction both domestically and internationally,as well as the recovery and reconstruction of cultural *** a field survey of traditional villages in the Ms 6.8 Luding earthquake-stricken area,it is found that there are problems such as insufficient awareness of heritage value,misalignment of scientific reconstruction technology,and insufficient protection of reconstruction elements during the reconstruction *** villages face the risk of declining or even loss of heritage *** order to effectively protect traditional villages and inherit the carrier of regional culture,four targeted reconstruction response strategies are proposed,i.e.,to"establish special planning for traditional village preservation","emphasize recovery of the authenticity of village heritage","ensure elements for village heritage recovery"and"promote the activation and utilization of village heritage",based on the problems discovered during the survey and the four concepts summarized in the research on post-disaster reconstruction of traditional *** research results hope to provide useful reference for ancient cultural areas affected by earthquakes on how to protect cultural heritage during the post-disaster reconstruction process.

关键词： Seismic hazard Decision making Traditional village Cultural heritage protection Post-earthquake recovery and reconstruction Revitalization strategy

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SK签密方案的改进及应用

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计算机研究与发展 2006年第Z2期43卷 386-388页

作者：张串绒肖国镇空军工程大学电讯工程学院西安710077 西安电子科技大学综合业务网国家重点实验室西安710071

2000年,Seo和Kim提出了SK签密方案,将它用于电子支付交易系统.发现SK签密方案不具备电子支付交易系统所需的前向安全性.因此,对SK签密方案进行了改进,改进方案克服了原方案中存在的安全缺陷;并将改进方案应用于电子支付交易协议的设计,... 详细信息

2000年,Seo和Kim提出了SK签密方案,将它用于电子支付交易系统.发现SK签密方案不具备电子支付交易系统所需的前向安全性.因此,对SK签密方案进行了改进,改进方案克服了原方案中存在的安全缺陷;并将改进方案应用于电子支付交易协议的设计,提出了前向安全电子支付交易协议.

关键词：密码学签密前向安全性电子支付交易

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