Research on Realization and Application of Spatial Co-location Rule Mining Algorithm Based on GIS

空间数据挖掘(SpatialDataMining，简称SDM)是数据挖掘的一个重要分支，它对于理解空间数据，寻找空间数据之间、空间与非空间数据之间内在关系，以简洁方式表达空间数据规律起着重要作用。空间数据挖掘面向的是空间数据库，空间数据库是一类重要的、特殊的数据库。地理信息系统(GeographicInformationSystem，简称GIS)是空间数据库的载体，GIS数据库中含有大量的空间和属性数据。因此，利用GIS作为开发空间数据挖掘工具的平台，能够使空间数据的整合利用更加方便以及知识的表达更加直观。 空间关联规则是空间数据挖掘所要发现的一种重要知识。Tobler的第一地理规则描述了这...Spatial Data Mining (SDM) is a very important branch of Data Mining. It has great efforts on understanding spatial data; find the intrinsic correlations among spatial data, and between spatial data and non-spatial data, and expressing the rules of spatial data concisely, which allow the extraction of implicit knowledge, spatial relations, or other patterns not explicitly stored in spatial database...学位：工学硕士院系专业：信息科学与技术学院自动化系_模式识别与智能系统学号：20043106

Algorithm of Spatial Query in GIS Based on Dynamic Hash

文章在介绍动态散列和传统空间索引四叉树的构造方法的基础上,综合二者的优点,提出了一种基于动态散列的空间索引构造算法,该方法改变了传统四叉树通过效率低下的空间对象的递归比较构造索引过程,采用计算机运算效率较高的二进制位运算和位比较的动态散列扩充散列值来构造空间索引。实践证明,该算法大大减少了空间索引的构造时间和效率,具有很高的应用价值。Introducing dynamic hash function and original quadtree,this paper assigns an algorithm of spatial query based on dynamic hash function.Instead of spatial object's recursive comparison where original quadtree has been used,the algorithm builds the spatial index by applying binary code operation in which computer runs more efficiently,and extended dynamic hash code for bit comparison.Experiment results show that the algorithm is efficient,simple and has powerful practical merits.福建省自然科学基金资助项目(编号:A0410006);; 厦门大学985“海量数据挖掘”研究项目资

Application of Fuzzy Clustering Algorithm on Data Mining Platform

研究基于目标函数的模糊聚类算法,并对聚类效果的有效性和参数选择进行了详细分析.在数据挖掘平台中实现该算法,通过设置聚类误差和实时误差两项动态指标来确定最佳的判别方法和参数设置.最后将该算法应用于模型生命表制作的前期分析工作中.This article describes systematically the Fuzzy C-Means (FCM) Clustering Algorithm based on objective function. The effectiveness and parameter selecting of FCM are analyzed in detail.The algorithm is realized in Data Mining Flat.The best determining method and parameter setting is decided by two dynamic data.Finally the successful application of FCM on preliminary work of Model Life Table is realized.2005国家社科基金资助项目(05BSH049);; 厦门大学“985”二期信息化平台资助项目

膜分离蚕豆蛋白酶解产物的理化性质及生物活性Physicochemical properties and biological activity of broad bean protein hydrolysate obtained by membrane separation technology

以新鲜蚕豆为原料，采用碱溶酸沉法提取蚕豆蛋白，采用4种不同蛋白酶对蚕豆蛋白进行单酶或双酶酶解，通过比较蚕豆蛋白水解度和多肽得率筛选出最优的两种酶复合酶解蚕豆蛋白，将复合酶解液通过膜分离技术分离得到BBPHs-Ⅰ(10 kDa)5个不同分子质量的组分，对5个组分的氨基酸组成、紫外光谱、红外光谱进行分析，同时通过测定体外抗氧化活性及α-葡萄糖苷酶抑制率表征其活性。结果表明：选用菠萝蛋白酶和木瓜蛋白酶对蚕豆蛋白进行复合酶解；与膜分离前比较，膜分离后10 kDa以下的蚕豆蛋白酶解产物总氨基酸含量增加，BBPHs-Ⅱ、BBPHs-Ⅲ、BBPHs-Ⅳ的疏水氨基酸含量较高，此外BBPHs-Ⅲ的总氨基酸、必需氨基酸、疏水氨基酸、芳香氨基酸含量均为最高，分别为65.304%、19.222%、20.762%、8.769%。不同分子质量的蚕豆蛋白酶解产物表现出一定体外抗氧化能力，当质量浓度为10 mg/mL时，BBPHs-Ⅳ的ABTS自由基清除率可达（27.89±0.01）%，BBPHs-Ⅱ的DPPH自由基清除率可高达（57.70±0.00）%；当质量浓度在2～32 mg/mL范围内，不同分子质量蚕豆蛋白酶解产物的α-葡萄糖苷酶抑制活性呈剂量依赖关系，BBPHs-Ⅱ、BBPHs-Ⅲ、BBPHs-Ⅳ表现出良好的α-葡萄糖苷酶抑制活性，质量浓度为32 mg/mL时BBPHs-Ⅲ的α-葡萄糖苷酶活性抑制率最佳，达到（86.56±1.23）%。因此，通过膜分离技术得到的小分子质量的蚕豆蛋白酶解产物具有更好的抗氧化活性和α-葡萄糖苷酶抑制活性，具有良好的开发及应用前景。 Fresh broad beans were used as raw materials, broad bean protein was extracted by alkali solution and acid precipitation. Four different proteases were used for single enzyme or double enzyme hydrolysis of broad bean protein, and the best two enzymes were selected for the complex enzymatic hydrolysis of broad bean protein by comparing the hydrolysis degree and polypeptide yield of broad bean protein. Then the broad bean protein hydrolysate (BBPHs) were fractionated by membrane separation into five fractions of BBPHs-Ⅰ(10 kDa).The amino acid composition, UV and IR spectra of the five fractions were analyzed, and their biological activities were characterized by in vitro antioxidant activity and α-glucosidase inhibition rate. The results showed that pineapple protease and papain were selected for the complex enzymatic hydrolysis of broad bean protein.The total amino acid content of broad bean protease hydrolysate below 10 kDa after membrane separation increased compared with that without membrane separation,and the hydrophobic amino acid contents of BBPHs-Ⅱ, BBPHs-Ⅲ and BBPHs-Ⅳ were higher.In addition, BBPHs-Ⅲ had the highest content of total amino acid, essential amino acid, hydrophobic amino acid and aromatic amino acid with 65.304%, 19.222%, 20.762% and 8.769% respectively.Protein hydrolysate components with different molecular weights showed certain in vitro antioxidant capacity.The ABTS free radical scavenging rate of the BBPHs-Ⅳ could reach (27.89±001)%,DPPH free radical scavenging rate of the BBPHs-Ⅱ could reach (57.70±0.00)% at 10 mg/mL mass concentration.When the mass concentration ranged from 2 mg/mL to 32 mg/mL, the α-glucosidase inhibitory activities of different molecular weight broad bean hydrolysates showed a dose-dependent relationship. BBPHs-Ⅱ, BBPHs-Ⅲ and BBPHs-Ⅳ showed good α-glucosidase inhibitory activities,and BBPHs-Ⅲ possessed the best α-glucosidase inhibition rate 〔(86.56±123)%〕 at 32 mg/mL mass concentration. Therefore, the small molecular weight broad bean protein hydrolysate obtained by membrane separation had higher antioxidant activity and α-glucosidase inhibitory activity，and had good development and application prospects

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies