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Search Results: 1 - 10 of 215360 matches for " HUANG De-Cai "
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Quantum Genetic Algorithm Based on Angle Coding of 3D
基于3D角度编码的量子遗传算法

QIAN Guo-hong,HUANG De-cai,
钱国红
,黄德才

计算机科学 , 2012,
Abstract: In order to make full use of the quantum characteristics of the quantum state in the algorithm, and improve the search efficiency, reduce storage space, a new quantum genetic algorithm called 3I}AQUA was proposed. The algorithm describes ctuantum bit as a pair of angles in 3D spherical coordinate,makes full use of the ctuantum space motion characteristics, and introduces a kind of adaptive scheme to calculate the rotation angle size and direction which not only makes the process of chromosome's update and variation simplified, but also improves ctuantum characteristics, storage properties and time performance of the algorithm greatly .The simulation results show that the efficiency of the algorithm and the search ability arc superior to the simple genetic algorithm and common quantum genetic algorithm.
Missing Data Imputation Based on Generalized Mahalanobis Distance
基于广义马氏距离的缺损数据补值算法

CHEN Huan,HUANG De-cai,
陈欢
,黄德才

计算机科学 , 2011,
Abstract: Missing data arc inevitable in data-collection, how to restore these data has become one of the hottest issues in data mining. Just like most algorithms,missing data imputation algorithms based on Mahalanobis Distance make full use of relationships between data. I}hough the results arc acceptable, the covariance matrixes arc not always reversible, which limit the algorithms greatly. This paper improved a traditional principal component analysis(PCA) method, proposed a new distance named Generalized Mahalanobis Distance according to SVl)and Moore-Penrose pseudoinverse. Combining with SOFM neural network and entropy, we designed GS missing data imputation algorithms. After academic analysis and simulation, it was proved that Generalized Mahalanobis Distance inherits the advantages of Mahalanobis Distance wonderfully in dealing with relatived data. Not only the new algorithm has good accuracy and stability, but also suits for any datascts.
Rankings Filtering Algorithm of Massive Data Based on Hadoop and its Application
Hadoop 平台下海量数据排行榜过滤算法

HUANG De-Cai,CHEN Huan,
黄德才
,陈欢

计算机系统应用 , 2012,
Abstract: Rankings as a popular production in modern society has gone deeply into everyone’s life.For the rankings on massive data,it costs large consumption of hardware resources and time though running under the distributed environment,even may not be produced sometimes.This paper improves the Bayesian algorithm and proposes a rankings filtering algorithm of massive data based on hadoop.We first fill the missing data by entropy theory for getting the complete data.Then,we compute the probability in the sales volume on the very day by the improved Bayesian algorithm.If the probability is smaller than threshold,the goods would be filtered not to attend the ranking computation.Simulation on four million sales from Taobao shows the effectiveness and excellent property of the proposed algorithm.
Outlier Detection and Semi-Supervised Clustering Algorithm Based on Shared Nearest Neighbors
基于最近邻相似度的孤立点检测及半监督聚类算法

ZHENG Ling-Zhi,HUANG De-Cai,
郑灵芝
,黄德才

计算机系统应用 , 2012,
Abstract: Traditional clustering analysis is unsupervised. Its precision is affected by similarity measures and outlier in the dataset and the algorithm don't take advantage of prior knowledge which can reflect the demands of users, therefore this article proposes the outlier detection and semi-supervised clustering algorithm which based on shared nearest neighbors. The algorithm according to the number of the nearest neighbors of the data in the dataset to detect the outliers in data dataset, then deal with the dataset which be operated by detecting the outliers by using Semi-clustering. And during the clustering process, it adds some prior knowledge which was expanded and cluster the dataset based on the principle of graph segmentation. And the article uses some UCI datasets to make simulation experiments. The results show that the algorithm can detect the outliers effectively, and have good performance of the clustering effect.
SQLite''s SQL Statement Cache Technology
SQLite 的SQL 语句高速缓存技术

DAI Yu,HUANG De-Cai,
戴昱
,黄德才

计算机系统应用 , 2012,
Abstract: With the development of embedded applications,and the growing complexity of system functions,use of embedded database is increasingly becoming a trend in embedded devices applications.SQLite for its performance and functionality advantages will be widely used in embedded applications.But embedded devices is relatively low CPU processing power,memory capacity is limited,which restricts the performance of SQLite.For these problems,this paper according to the high-speed cache principle to simplify the process of SQL statement execution lexical analysis and syntax analysis,to reduce the time consumption during operation.Experiments show that this method can effectively improve the efficiency of SQL statements implementation,maintaining the availability and reliability of system,to enhance the overall performance of SQLite.
2-[(4,6-Dimethoxypyrimidin-2-yl)oxy]benzaldehyde
Xue-Jun He,Jun-Song Song,Qin-Qin Huang,De-Cai Wang
Acta Crystallographica Section E , 2012, DOI: 10.1107/s1600536812000840
Abstract: In the title compound, C13H12N2O4, the dihedral angle between the benzene and pyrimidine rings is 55.57 (13)°. The carbonyl group and the two methoxyl groups are approximately coplanar with the benzene ring and pyrimidine ring; the C—C—C—O, C—O—C—N and C—O—C—C torsion angles being 6.1 (5), 4.8 (4) and 179.9 (3)°, respectively. In the crystal, molecules are linked via C—H...O interactions, forming chains propagating along [110].
Ethyl 1-cyclopropyl-6,7-difluoro-8-methoxy-4-oxo-1,4-dihydroquinoline-3-carboxylate
De-Cai Wang,Xin-Ming Huang,Yan-Ping Liu,Chun-Lei Tang
Acta Crystallographica Section E , 2008, DOI: 10.1107/s1600536808034715
Abstract: In the title compound, C16H15F2NO4, the dihedral angle between the three-membered ring and the quinoline ring system is 64.3 (3)°. In the crystal structure, intermolecular C—H...O hydrogen bonds link the molecules, forming a column running along [101].
N-(4-Chloro-2-nitrophenyl)-5-methylisoxazole-4-carboxamide
De-Cai Wang,Liang-Cheng Huang,Zhu-Yun Liu,Ping Wei
Acta Crystallographica Section E , 2011, DOI: 10.1107/s1600536811047994
Abstract: In the title compound, C11H8ClN3O4, the dihedral angle between benzene and isoxazole rings is 9.92 (1) °. The nitro group is almost coplanar with the benzene ring with an O—N—C—C torsion angle of 8.4 (3)°. The molecular conformation is stabilized by an intramolecular N—H...O hydrogen bond, closing a six-membered ring.
N-(2,6-Dichlorophenyl)-5-methyl-1,2-oxazole-4-carboxamide monohydrate
De-Cai Wang,Liang-Cheng Huang,Hua-Quan Liu,Yu-Ran Peng
Acta Crystallographica Section E , 2011, DOI: 10.1107/s1600536811044734
Abstract: In the title compound, C11H8Cl2N2O2·H2O, the dihedral angle between the benzene and isoxazole rings is 59.10 (7)°. In the crystal, the components are linked by N—H...O and O—H...O hydrogen bonds into a three-dimensional network. The crystal structure is further stabilized by π–π stacking interactions [centroid–centroid distance = 3.804 (2) ].
Development Research of Relevance Feedback in Interactive Image Retrieval
交互式图像检索中相关反馈进展研究

HUANG De-cai,HU Ji,ZHENG Yue-feng,
黄德才
,胡嘉,郑月锋

计算机应用研究 , 2005,
Abstract: In this paper,we firstly introduce the existing interactive image retrieval techniques, then analyzing and expounding the development of the interactive relevance feedback techniques emphatically. Finally the direction of future development in CBIR has been discussed.
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