检索结果-南通市图书馆

k-dominant Skyline query algorithm for dynamic datasets

在线全文

学校读者我要写书评

暂无评论

Frontiers of Computer Science 2021年第1期15卷 213-221页

作者： zhiyun zheng Ke RUAN Mengyao YU Xingjin ZHANG Ning WANG Dun LI School of Information Engineering Zhengzhou UniversityZhengzhou 450001China

At present,most k-dominant Skyline query algorithms are oriented to static datasets,this paper proposes a k-dominant Skyline query algorithm for dynamic *** algorithm is recursive ***,we compute the dominant ability of each object and sort objects in descending order by dominant ***,we maintain an inverted index of the dominant index by k-dominant Skyline point calculation *** the data changes,it is judged whether the update point will afect the k dominant Skyline point *** the k-dominant Skyline point of the new data set is obtained by inserting and deleting *** proposed algorithm resolves maintenance isue of a frequently updated database by dynamically updating the data *** experimental results show that the query algorithm can efectively improve query eficiency.

关键词： multi-objective decision Skyline queries k-dominant Skyline queries dynamic datasets

Uncertain Knowledge Reasoning Based on the Fuzzy Multi Entity Bayesian Networks

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2019年第7期61卷 301-321页

作者： Dun Li Hong Wu Jinzhu Gao Zhuoyun Liu Lun Li zhiyun zheng zhengzhou University 100 Science AvenueZhengzhou450001China University of the Pacific 3601 Pacific AvenueStockton95211USA

With the rapid development of the semantic web and the ever-growing size of uncertain data,representing and reasoning uncertain information has become a great challenge for the semantic web application *** this paper,we present a novel reasoning framework based on the representation of fuzzy ***,the paper gives an overview of the previous research work on uncertainty knowledge representation and reasoning,incorporates Ontology into the fuzzy Multi Entity Bayesian Networks theory,and introduces fuzzy PR-OWL,an Ontology language based on *** PROWL describes fuzzy semantics and uncertain relations and gives grammatical definition and semantic ***,the paper explains the integration of the Fuzzy Probability theory and the Belief Propagation *** influencing factors of fuzzy rules are added to the belief that is propagated between the nodes to create a reasoning framework based on fuzzy *** that,the reasoning process,including the SSFBN structure algorithm,data fuzzification,reasoning of fuzzy rules,and fuzzy belief propagation,is ***,compared with the classical algorithm from the aspect of accuracy and time complexity,our uncertain data representation and reasoning method has higher accuracy without significantly increasing time complexity,which proves the feasibility and validity of our solution to represent and reason uncertain information.

关键词： Ontology language uncertainty representation uncertainty reasoning fuzzy multi entity Bayesian networks belief propagation algorithm fuzzy PR-OWL

Recent Climate Trends on the Northern Slopes of the Tianshan Mountains, Xinjiang, China

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Mountain Science 2009年第3期6卷 255-265页

作者： ZHANG Hongfeng OUYANG zhiyun zheng Hua WANG Xiaoke State Key Laboratory of Urban and Regional Ecology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beifing 100085 China

In arid regions, mountains fulfill important ecological and economic functions for the surrounding lowlands. In the scenario of global warming, mountain ecosystems change rapidly, especially in the arid region of northwestern China. This paper provides an assessment of the changes in temperature and precipitation in the historical records of climate on the northern slopes of the eastern Tianshan Mountains. A Mann-Kendall nonparametric trend and Sen＇s tests are employed to analyze the interannual changes and innerannual variability in temperature and precipitatiofi in the regions of low to high altitude. The present study finds that the largest increases in annual temperature are observed at stations in the low altitude regions. The significant increasing trends in temperature tend to occur mainly in late winter and early spring at stations from middle to high altitude, but in summer and autumn at stations of low altitudes. The increasing trends in annual precipitation are found from the middle to high altitude areas, but decreasing trends are found in the low altitude areas. The significant increasing trends in precipitation occur mostly in winter and earlier spring at stations from the middle to high altitudes, while the increasing and decreasing trend coexists at stations of low altitude with most of the significant trend changes occurring in March, June and August.

关键词： Mountainous region Climate change Temperature Precipitation China

The corelation between hepatic carcinoma characteristics and neutrophil lymphocyte ratio

在线全文

学校读者我要写书评

暂无评论

The corelation between hepatic carcinoma characteristics and...

A New Method to Construct Education Knowledge Graph

2013中国器官移植大会

作者： Bingyi Lin zhiyun zheng Jia Yao Lin Zhou Shusen zheng Division of Hepatobiliary and Pancreatic Surgery Department of SurgeryKey Laboratory of Combined Multi-organ TransplantationMinistry of Public HealthZhejiang ProvinceFirst Affiliated HospitalSchool of MedicineZhejiang University

Background and aim It is previously reported that tumor characteristics have effect on the number of T effector cells and NK cells in tumor or adjacent normal *** lymphocyte ratio(NLR) was considered as a precise marker of immune response system situation,and presented elevated NLR which brought about more poor prognosis for patients with HCC(hepatic carcinoma ) following liver *** study was designed to explore the correlation between HCC characteristics and NLR. Methods A total of 160 patients with HCC following LT were enrolled in study *** tumor volume,the number of metastatic lesion in liver and tumor differentiation were reported,and their influence on NLR were analyzed by Independent-Samples t *** further analyzed whether elevated NLR(NLR>5) can be as a marker for prognosis of patients with poor differentiation HCC or well differentiation HCC.

关键词：

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

计算机教育 2018年第12期 41-47页

作者： zhiyun zheng Jianping Wu Zhenfei Wang Zhongyong Wang Liming Wang Dun Li School of Information Engineering Zhengzhou University

Learning from the Internet is becoming more and more convenient and attracting more and more people. How to obtain knowledge from massive data and construct high quality knowledge graph has become a research hot topic. This paper proposes a new method of knowledge graph construction based on crowd-sourcing. Firstly, learners build the subgraphs to acquire knowledge through the crowd-sourcing task; secondly, we put forward the fusion strategy of knowledge subgraph, in which knowledge graph is converted into the adjacency matrix, and the weight of the knowledge relation is calculated by matrix operations, thus knowledge graph is constructed. Finally, experiments conducted on an open platform show that the accuracy and integrity of proposed method of constructing knowledge graph are higher and our new method exists potential value for online learning and self-regulated learning.

关键词： knowledge graph crowd-sourcing fusion adjacency matrix

网格环境下基于OAI的数字图书馆互操作机制

在线全文

学校读者我要写书评

暂无评论

计算机工程 2006年第10期32卷 37-39页

作者：郑志蕴徐玮宋瀚涛牛振东北京理工大学计算机科学与工程系郑州大学信息工程学院计算机系郑州450052 北京理工大学软件学院

现有数字图书馆(DLs)互操作方案,在实现大规模数字图书馆集成方面都存在一定的局限性。该文将网格技术与OAI-PMH框架相结合,提出了一个数字图书馆网格(DLGrid)互操作框架,并对网格环境下元数据资源的发现、采集、重组等关键问题进行了... 详细信息

现有数字图书馆(DLs)互操作方案,在实现大规模数字图书馆集成方面都存在一定的局限性。该文将网格技术与OAI-PMH框架相结合,提出了一个数字图书馆网格(DLGrid)互操作框架,并对网格环境下元数据资源的发现、采集、重组等关键问题进行了分析和设计,初步实现了在集成的元数据基础上数字图书馆信息的共享。

关键词：数字图书馆互操作网格 OAI-PMH

基于多尺度NNLoG特征提取的红外多目标检测遗传算法

在线全文

学校读者我要写书评

暂无评论

红外技术 2019年第9期41卷 837-842页

作者：孙士新郑志蕴亳州职业技术学院信息工程系安徽亳州236800 郑州大学信息工程学院河南郑州450001

本文提出了一种基于多尺度NNLoG特征提取的红外多目标检测遗传算法。首先采用三维匹配滤波器对不同速度的目标进行基于归一化LoG算子的目标检测,然后采用遗传算法对程序进行优化及加速。与传统算法相比,本文提出的方法检测效率高,检测... 详细信息

本文提出了一种基于多尺度NNLoG特征提取的红外多目标检测遗传算法。首先采用三维匹配滤波器对不同速度的目标进行基于归一化LoG算子的目标检测,然后采用遗传算法对程序进行优化及加速。与传统算法相比,本文提出的方法检测效率高,检测效果好。并且可以自适应不同大小的目标。实验结果表明,提出的方法性能优良,搜索目标效率较高。

关键词：多尺度三维匹配滤波 NNLoG 遗传算法弱小目标检测