Quantitative Method of Classification and Discrimination of a Porous Carbonate Reservoir Integrating K-means Clustering and Bayesian Theory

Reservoir classification is a key link in reservoir evaluation.However,traditional manual means are inefficient,subjective,and classification standards are not uniform.Therefore,taking the Mishrif Formation of the Western Iraq as an example,a new reservoir classification and discrimination method is established by using the K-means clustering method and the Bayesian discrimination method.These methods are applied to non-cored wells to calculate the discrimination accuracy of the reservoir type,and thus the main reasons for low accuracy of reservoir discrimination are clarified.The results show that the discrimination accuracy of reservoir type based on K-means clustering and Bayesian stepwise discrimination is strongly related to the accuracy of the core data.The discrimination accuracy rate of TypeⅠ,TypeⅡ,and TypeⅤreservoirs is found to be significantly higher than that of TypeⅢand TypeⅣreservoirs using the method of combining K-means clustering and Bayesian theory based on logging data.Although the recognition accuracy of the new methodology for the TypeⅣreservoir is low,with average accuracy the new method has reached more than 82%in the entire study area,which lays a good foundation for rapid and accurate discrimination of reservoir types and the fine evaluation of a reservoir.

NSTL科技文献资源分类体系构建研究

相对科学的分类体系是实现科技文献资源学科特征有效揭示的重要依据。面向国家科技图书文献中心(National Science and Technology Library,NSTL)资源集成与知识服务的总体需求,通过主体及重点学科揭示、多体系融合、多维同位类设置、多学科列类、新兴学科类目扩展、综合性类目设置、双重语义编码等方法,编制可基本覆盖NSTL主体资源的NSTL科技文献分类体系,共包含61个基本大类,类目深度为4~5级,类目数达5350个。同时建立与现用核心分类体系的映射关系,支撑资源分类数据规范处理、馆藏目录系统服务等方面的应用。该分类体系可支撑国家重点扶持产业资源保障分析与学科布局评估。

Evaluation and Genetic Classification of Rice Germplasm Resources Resistant to Rice Blast

[ Objective] This study aimed to explore rice germplasm resources resistant to rice blast and provide theoretical basis for the modification of rice blast- resistant germplasm resources. [ Method] The resistance of 120 rice materials to rice blast was identified at three experimental areas. [ Result] The resistance of 120 experimental materials was at grade 0 -9 to panicle blast in Hainan Province, at grade 0 -9 to seedling blast in Fujian Province and at grade 3 -9 topanicle blast in Guangxi Zhuang Autonomous Region. Analysis of correlations between agronomic traits and rice blast resistance indicated that the resistance of experimental materials could not be simply determined based on agronomic traits. Furthermore, 61 published SSR makers closely linked to rice blast were selected and synthe- sized for genotypic analysis of 120 experimental materials. The results of cluster analysis preliminarily divided 120 germplasms into resistant varieties and susceptible varieties. [ Conclusion] These rice germplasm resources are of important value for breeding new materials resistant to rice blast.

Types and Spatial Distribution of Geo-tourism Resources in Jilin Province of China

Natural geological conditions and geo-tourism resources in Jilin Province were introduced,and distribution features of the local major tourist resources(vegetation-covered eastern region,grass swamp on western plain) were studied.Jingyu Volcanic Mineral Spring Geo-park,Changbai Mountain Geo-park and Qian'an Mud Forest Geo-park were studied as typical geo-tourism resources,so as to provide basic data for the systematic development and construction of geo-tourism resources in Jilin Province.

Fruit Anatomy of sect. Paracamellia with Reference to Their Significance of Germplasm Resources Exploitation

[Objective] To utilize the germplasm resources,new systematic evidence for the classification of sect.Paracamellia,genus Camellia is found in this article.[Method] Fruit anatomy of 10 species representing sect.Paracamellia was investigated.And the main component of sect.Paracamellia in the genus Camellia was studied by MVSP software.[Result] The exocarp was thin;mesocarp was broad,having a large number of stone cells;endocarp was lignified,and separated easily from seed.The principle components analysis suggested that the distance between species was far,showing far relation;the current study did not support the formation of Camellia grijsii（C.grijsii）and Camellia yuhsienensis（C.yuhsienensis）,Camellia shensiensis（C.shensiensis）should not be recognized as a variety of C.yuhsienensis.In addition,it also proved Ming＇s combining of Camellia confusa（C.confusa）and Camellia kissi（C.kissi）was unnatural.[Conclusion] The study provided theoretical basis for the development and application of sect.Paracamellia in the genus Camellia.

Analysis on the Application of Quality Classification of Cultivated Land Resources in Municipal Land Space Planning:A Case Study of Chongzuo City

Cultivated land is the most important strategic resource to ensure food security.The newly constructed quality classification system of cultivated land resources considers the cultivated land health index for the first time.How the new classification and grading index system and the quality classification results of cultivated land resources to effectively guide the preparation of municipal land space planning has become a key research direction.This paper expounds the overall design idea for quality classification of cultivated land resources and classification index system.Taking Chongzuo City as an example,through the analysis of the quality classification results of cultivated land resources in the study area,using GIS spatial analysis and factor pairwise comparison method,this paper explores the application ideas and methods of quality classification research results of cultivated land resources in the formulation of cultivated land retention target,the delineation of dominant areas of cultivated land protection,the delineation of three control lines,the comprehensive improvement of land,and ecological restoration zoning in the municipal land space planning.

Investigation and Development of Rural Tourism Resources in Xi'an City

Rural tourism resources in Xi'an City were comprehensively studied with national standard and classification standard based on characteristics of rural tourism.Through investigation and statistical method,rural tourism resources in Xi'an City were analyzed,based on which further development of those resources was studied.Finally,with Xi'an modern theme park and Yanxiang folk-culture village as typical cases,their tourism developments were analyzed from meso-scale perspective.

Evaluation of Tourist Resources in Liuchong and Longtan Scenic Spots of Longtan National Forest Park

To further explore characteristics of tourist resources in Liuchong and Longtan Scenic spots in Longtan National Forest Park,Classification,Investigation and Evaluation of Tourist Resources(GB/T18972-2003) and Quality Grading of Scenic Resources in Forest Parks of China(GB/T18005-1999) were adopted to analyze composition and distribution features of tourist resources in Liuchong and Longtan Scenic Spots,qualitative evaluation of scenic resources in the 2 study scenic spots,quantitative evaluation of resource units and quality evaluation of tourist resources were respectively carried out.The results showed that the park has diversified tourist resources such as peaks,valleys,cliffs,brooks,waterfalls and forests,as well as rich animal and plant species and an excellent natural eco-environment;5 Grade-IV tourist landscapes,6 Grade-III tourist landscapes,14 Grade-II ones,4 Grade-I ones;quality of tourist resources was scored as 41.3,up to the scenic resource standards of Grade-I Forest Park.

基于t-SNE法对寒地水稻种质资源品质的分类研究

为探究数据降维后可视化呈现并进行图像分割聚类的方法,本研究利用160份粳稻种质资源的品质指标,引入t-SNE算法将11项品质指标转化为两个相互独立的成分并进行可视化呈现,进一步采用K-means聚类,将图像聚类分割为具有不同特征的三个簇,分别利用非线性对数主成分分析,根据每个指标在主成分中平均贡献率进行排序,得到具有不同品质特征的三个类别。结果表明,160份寒地水稻种质资源被分成具有不同特征的簇0(62份资源)、簇1(47份资源)、簇2(51份资源),其中簇0强调蛋白质、直链淀粉等营养品质,簇1注重光泽、味道和香气等感官品质,而簇2更加突出糙米率、精米率和完整性等加工品质特征。本方法解决了聚类时数据维度过高、信息冗余等问题,并较完整地保留了高维数据的分布特征,而非线性对数主成分分析又可以进一步明晰每一类的特征。

A classification-based privacy-preserving decision-making for secure data sharing in Internet of Things assisted applications

The introduction of the Internet of Things(IoT)paradigm serves as pervasive resource access and sharing platform for different real-time applications.Decentralized resource availability,access,and allocation provide a better quality of user experience regardless of the application type and scenario.However,privacy remains an open issue in this ubiquitous sharing platform due to massive and replicated data availability.In this paper,privacy-preserving decision-making for the data-sharing scheme is introduced.This scheme is responsible for improving the security in data sharing without the impact of replicated resources on communicating users.In this scheme,classification learning is used for identifying replicas and accessing granted resources independently.Based on the trust score of the available resources,this classification is recurrently performed to improve the reliability of information sharing.The user-level decisions for information sharing and access are made using the classification of the resources at the time of availability.This proposed scheme is verified using the metrics access delay,success ratio,computation complexity,and sharing loss.

Evaluation and reasonable exploitation on the natural view resources of Lushan Mountain scenic spot

The paper carried on the classified and rating evaluation primarily on natural landscape resources in Lushan Mountain. According to the evaluation, exploiting and utilizing the situation of scenic spot natural landscape resources, some reasonable advices were given on further exploiting Lushan Mountain natural scenic spot, expecting that it could supply some theoretical references for the natural landscape resources sustainable development in Lushan Mountain in the future.

Using Multi Techniques Analysis in Biogeoclimatic Ecosystem Classification and Mapping of Mambilla Plateau in Taraba State Nigeria

This work used multi techniques analysis comprises GIS models, geostatistics, clustering analysis as against the traditional single layer thematic approach to characterize Mambilla Plateau, a cold highland in Taraba state of Nigeriainto biogeoclimatic ecosystem zones needed for natural resources management. The principal criteria used in classifying and mapping the ecosystems are: climate and bioclimate data, physiography (slope, relief and aspect), vegetation/landcover data. In classifying and mapping the physiography of Mambilla Plateau, the topographic layer was produced from 90 m NASA/SRTM digital elevation model. Principal component analysis, agglomerative hierarchical cluster analysis (AHC) and geostatistical techniques (Kriging) were applied to develop bioclimatic layer. A combination of vegetation field survey conducted on selected sites, un/supervised classification and the application of NDVI values was used to produce landcover map and delineation of the Plateau into vegetation units. These layers of physiographic, bioclimatic and vegetation were spatially combined using fuzzy (sum) overlay in Arc GIS 10.2 to produce 5 major and 1 subunit biogeoclimatic ecosystem zones on the Mambilla Plateau and the adjoining landscape namely: humid lowland forest/humid shrubby forest, montane forest, escarpment stream valley forest, grass cypress cool mountain and, grass eucalyptus cold high mountain. It is expected that this approach to biogeoclimatic ecosystem mapping shall form the bedrock for vegetal/forest resources management not only in the region but find application especially in most of the highland of the world.

Advances in Origin,Evolution and Classification of Pyrus L.

China is not only one of the origin centers of Pyrus L.,but also the earliest birthplace of Pyrus L.in the world.This paper reviews the evolution of Pyrus L.from the aspects of leaf edge morphology,inflorescence and fruit type,and summarizes the research progress of classification and species distribution of Pyrus L.,which is of great significance for the protection,evaluation and utilization of germplasm resources.

基于Sentinel-2A时序谐波分析的山区林草资源遥感自动分类

文章提出了基于Sentinel-2A密集时序的山区林草资源自动分类方法。在GEE云计算平台支持下,首先基于Sentinel-2A影像计算年度NDVI密集时间序列;然后利用HANTS谐波分析对年度NDVI进行时序重构,获得年度完整的NDVI时序特征谱;在此基础上构建随机森林分类模型,通过特征计算和优选,完成影像分类和精度评价;并以大别山西麓麻城市为研究区开展了实验研究。实验结果表明:时序谐波分析方法能够有效地区分林草资源及森林亚类,时序谐波特征支持下Sentinel-2A密集时序林草资源遥感分类总体精度较高,相比传统多期分类、现有的全球30 m GLC_FCS30-2020分类产品,OA和Kappa均有了一定的提高。

STUDY ON WETLAND RESOURCES IN DELTASAROUND BOHAI SEA

Based on the data of wetlands in Huanghe delta and Liaohe delta which were go by the combination of Remote Sensing(RS), Geographical Information System(GIS) and Global Position System(GPS), the paper discusses the sindlarities and differences of wetlands in the two regions by comparing them in composition, distribuhon, spatial pattern of landscape and ecology. Problems in using and conserving weiland resources are shown in the paper, which aimto provide basis for the further study on the landscape ecology, function, and sustainable use of weilands in the deltas. The study shows that the wedands in the two deltas are characterized by peat variety of weiland types, distribution with the shape of strip, abundant resources of wild plants and animals, intense effects of human activities on the structure of the landscapes, broad prospects for development and great environmental pressure. It is necessary to successfull solve the contradiction between development and protection. At present, the most pressing matter of the moment is to protect environment and control pollution.

浙江绍兴会稽山国家森林公园风景资源评价与SWOT分析

2019年4—7月,采用资料查询和实地踏勘相结合的方法,对浙江绍兴会稽山国家森林公园风景资源进行调查、评价与SWOT分析。结果显示,浙江绍兴会稽山国家森林公园内共有风景资源单体104个,涉及8主类、15亚类、34种基本类型。其中,特品级资源单体2个、优良级43个、普通级59个,优良级及以上资源单体主要集中在建筑与设施、生物景观和地文景观。经综合评定,会稽山森林公园风景资源属于一级风景资源,具有较高的生态旅游价值。并运用SWOT分析法,分析森林公园开发现状的优势与劣势,面临的机遇与挑战,并提出相应的开发对策,研究结果可为会稽山森林公园后期科学保护和合理开发利用提供参考。

西洋参DUS测试性状筛选与分级研究

为筛选适宜用作国内西洋参品种特异性、一致性和稳定性测试(DUS测试)的性状及分级方法,以51份西洋参种质资源为研究材料,经表型观测、统计分析等方法对34个性状进行筛选,并对筛选后的数量性状进行分级。经变异分析、正态性检验及相关性分析,共筛选出26个适宜用作DUS测试的性状,包含7个质量性状、2个假质量性状、17个数量性状,并利用主成分分析法从中挑选出6个分组性状。采用最小显著差异(LSD)分级法对筛选后的数量性状进行分级,可分为3~9级。

Resources publication and discovery in manufacturing grid

In the manufacturing grid＇s architecture, Resources Management System （RMS） is the central component responsible for disseminating resource information across the grid, accepting requests for resources, discovering and scheduling the suitable resources that match the requests for the global grid resource, and executing the requests on scheduled resources. In order to resolve the problem of resources publication and discovery in Manufacturing Grid （MGrid）, the classification of manufacturing resources is first researched after which the resources encapsulation class modes are put forward. Then, a scalable two-level resource management architecture is constructed on the model, which includes root nodes, domain nodes and leaf nodes. And then an RIMS is proposed, and the resources publication and discovery mechanism are detailedly described. At last, an application prototype is developed to show the validity and the practicability of the proved theory and method.

耕地资源数据库文本VSM模糊分类方法

耕地资源数据库包含大量的数据,不同地区、不同类型的数据维度也会有所不同,使得文本分类需要处理的特征数量很大,增加了分类的难度。为了有效改善耕地资源数据库文本分类结果的准确性,提出一种耕地资源数据库文本VSM模糊分类方法。通过CHI筛选出耕地资源数据库文本的类别特征词,采用PCA方法展开二次降维处理。对降维处理后的文本特征展开分析,采用合适的规则抽取代表主题的特征义原,扩展全部特征义原,同时选择合适的分类器建立模糊VSM模型,通过该模型实现耕地资源数据库文本分类。实验结果表明,采用所提方法可以获取高精度和高效率的文本分类结果,有效提升了文本分类效果。

Intelligent Resource Allocations for Software-Defined Mission-Critical IoT Services

Heterogeneous Internet of Things(IoT)applications generate a diversity of novelty applications and services in next-generation networks(NGN),which is essential to guarantee end-to-end(E2E)communication resources for both control plane(CP)and data plane(DP).Likewise,the heterogeneous 5th generation(5G)communication applications,including Mobile Broadband Communications(MBBC),massive Machine-Type Commutation(mMTC),and ultra-reliable low latency communications(URLLC),obligate to perform intelligent Quality-of-Service(QoS)Class Identifier(QCI),while the CP entities will be suffered from the complicated massive HIOT applications.Moreover,the existing management and orchestration(MANO)models are inappropriate for resource utilization and allocation in large-scale and complicated network environments.To cope with the issues mentioned above,this paper presents an adopted software-defined mobile edge computing(SDMEC)with a lightweight machine learning(ML)algorithm,namely support vector machine(SVM),to enable intelligent MANO for real-time and resource-constraints IoT applications which require lightweight computation models.Furthermore,the SVM algorithm plays an essential role in performing QCI classification.Moreover,the software-defined networking(SDN)controller allocates and configures priority resources according to the SVM classification outcomes.Thus,the complementary of SVM and SDMEC conducts intelligent resource MANO for massive QCI environments and meets the perspectives of mission-critical communication with resource constraint applications.Based on the E2E experimentation metrics,the proposed scheme shows remarkable outperformance in key performance indicator(KPI)QoS,including communication reliability,latency,and communication throughput over the various powerful reference methods.