开放式网络非均匀采样数据准确挖掘仿真

为解决传统数据挖掘方法中存在的挖掘时间较长,查准率较低等问题,提出了一种开放式网络非均匀采样数据准确挖掘方法。运用划分技术构建数据划分区域,估计各个划分区域的重要度,获取相对重要的显著性区域边界,在显著性区域内对数据进行随机采样。通过改进型的样本子集优化方法从采样后的数据中选择最具有参考价值的数据作为原型集,分析原型集与训练集样本间的差异性,根据其分析结果构建相应的特征空间。为实现映射到特征空间内的差异度数据集的非均匀采样数据挖掘,需要使用分类预算法进行学习。实验结论为,开放式网络非均匀采样数据准确挖掘方法能够有效解决传统方式中的问题,如减少数据挖掘时间,提高数据挖掘查准率等。

基于JointBoost I2C距离度量的图像分类方法

基于图像到类(I2C)距离度量的图像分类是一种新颖的方法,但其分类性能仍有待提高.为此,文中提出了一种基于JointBoost I2C距离度量的图像分类方法.首先生成原型特征集,该集合中的样本具有代表性,故计算测试图像到该原型特征集的距离更有效;然后根据JointBoost算法的思想,联合多个I2C距离度量生成一个强分类器,并将空间信息融合到强分类器中.实验结果表明,该方法在图像分类实验中具有更高的分类性能.

Peat swamps at Giral lignite field Western India： understanding the modelling of Barmer basin, Rajasthan, evolution through petrological

The lignite samples collected from Giral lignite field of Barmer basin have been subjected to petrological investigation. The data generated has been discussed to understand the evolution of the paleomires of these lignites. The present study reveals that these low rank C coals are chiefly composed of huminite group macerals, mainly telohuminite and detrohuminite, while liptinite and inertinite group macerals occur in subordinate amounts. Not much variation in the maceral composition from Seam-I to Seam-VIII has been observed. Barmer lignites are characterized by a very high GI （〉10） and moderate TPI indicating topogenous mire in the basin which was permanently flooded. The GI and TPI values and the petrography-based facies critical models indicate that these lignites originated mostly under wet forest swamp to clastic marsh having telmatic to limno-telmatic conditions with a moderate rate of subsidence and a very slow fall in ground water table. Further, the GWI and VI values are suggestive of mesotrophic to rheotrophic hydrological conditions having the dominance of herbaceous to marginal aquatic vegetation. There were spells of periodic drowning of peat especially during the formation of Seam-VII. Moderately high concentration of calcium in these lignites along with the presence of framboidal pyrite indicate enhanced sulphate-reducing bacterial activity present in carbonate and sulphate-rich waters in the basin during peat formation.

Identification of a novel C-type lectin from the shrimp Litopenaeus vannamei and its role in defense against pathogens infection

Acting as one of the pattern recognition receptors （PRRs）, C-type lectin is believed to mediate pathogen recognition and plays an important role in the clearance of pathogens as part of the innate immune system. In this work, a novel C-type lectin gene （named LvLecl） was cloned from the shrimp Litopenaeus vannamei, The ORF of LvLecl is 510 bp, encoding 169 amino acids. The deduced amino acid sequence contains a putative signal peptide of 19 amino acids at the N-terminal and a carbohydrate recognition domain （CRD） at the C-terminal. LvLecl was mainly expressed in the hepatopancreas. Real-time PCR analysis indicated that the level of LvLecl transcripts significantly changed in the hepatopancreas after the shrimp were artificially challenged with LPS, Micrococcus lysodeikticus and white spot syndrome virus （WSSV）. RNAi-based silencing of LvLecl resulted in increases in mortality when the shrimp were challenged with WSSV, and the median lethal time was reduced compared with controls. Although there was no characteristic ＂EPN＂ （Glu-Pro-Ser） or ＂QPD＂ （Gin-Pro-Asp） motif, the recombinant LvLecl, expressed in Escherichia coli BL21 （DE3）, could also agglutinate M. lysodeikticus and Vibrio anguillarum. The agglutinating activities were calcium-dependent and could be inhibited by D-mannose, D-glucose, D-galactose and N-Acetyl-D-mannose. These results suggest that LvLecl might be involved in the immune response against WSSV and bacterial infections and contribute to non-self recognition as a pattern recognition receptor in the innate immune system of the shrimp L. vannamei.

Responsive Prototypes： Urban Machines as a Framework for the Digital City

Over the last few decades, a diverse and expanded practice has emerged from the increasingly collaborative work developed among architects, urbanists, artists, and media designers. This collaboration has more and more developed a particular landscape of projects which share the same operative principles and modes of operation. The city at large has been the context where these projects have been implemented and developed with the will of bringing these types of experimentation to the people and to the public and social scale. Cities are continuously produced through entropic processes that mediate between complexity and immediacy. Information technology operates as a linkage able to set up new rules for communication between man and matter. In this framework, by looking at spatial interventions in the urban space, the aim of the paper is to dissect the modes in which spatial practitioners operate in the digital city through ＂Urban Machines＂ and how information technology becomes a tool for place-making. The paper looks at integrated systems or machines that have spatial, social, and environmental implication in how we experience the city. Machines imply ＂something that has been constructed＂ and ＂function with a specific purpose＂ while being composed by parts that respond to a ＂functioning whole＂. These interventions start from sharing the same principle： How do we generate through technologically mediated experiences opportunities for new types of production of（social）space？; How such systems shape our urban experience and deploy forms of participation in civic life？.

Automatic drawing of the geologic profile of an underground mine based on COMGIS

This paper introduces a method of building a prototype system of geologic profile auto-drawing.A.NET development platform and integrated environment was used along with a component based design,a B/S system model,and XML techniques.Knowledge rules for creating geologic profiles and generating virtual drilling data from existing bore data and expert,hand-drawn geologic profiles were acquired. Then a prototype system was established by utilizing the known knowledge rules,topological relationships, and semantic relationships among strata.This system has a friendly human-computer interface and can meet requirements of mutual queries between attribute and spatial data.The generated profile map is editable.This study provides a new powerful tool for underground mine work.

基于特征重组网络的小样本农作物病害叶片检测

针对现有作物病害叶片检测模型的性能过度依赖大量带标注数据集以及预训练模型的泛化性不强等问题,提出一种基于特征重组网络的小样本农作物病害叶片检测方法。首先,采用支持分支和查询分支的双分支网络结构,将支持图像和查询图像映射到深度特征空间,并在支持分支中采用特征增强网络缓解映射特征与原始标注不对齐的问题。其次,借助全局平均池化策略生成初始原型,利用该原型反向指导原始支持图像中病害叶片的识别,并根据初始识别结果对原型进行优化。再次,通过比对识别区域与原始标注之间的特征差异,构造辅助原型与主域原型。最后,融合原始原型、辅助原型和主域原型,构造多原型集,并利用度量方法计算原型集与查询特征间的关联,根据关联值给出预测标签。在自建的橘子、番茄和苹果等病害叶片数据集上进行测试,所提出方法分别获得了97.18%的精准率、97.31%的召回率、96.90%的F 1分数和84.71%的FB-IoU,优于主流的目标检测方法。

BLOW-UP OF SOLUTIONS OF THE IGNITION MODEL

By use of maximum principle and auxiliary function method,the paper discusses the blow-up sets of the solutions of the ignition model in two cases,It is obtained that the solutions blow up in single point in nonsymmetric case and that the solutions blow up totally or at a couple of points in symmetric case.

High precision nuclear mass predictions towards a hundred kilo-electron-volt accuracy

Mass is a fundamental property and an important fingerprint of atomic nucleus.It provides an extremely useful test ground for nuclear models and is crucial to understand energy generation in stars as well as the heavy elements synthesized in stellar explosions.Nuclear physicists have been attempting at developing a precise,reliable,and predictive nuclear model that is suitable for the whole nuclear chart,while this still remains a great challenge even in recent days.Here we employ the Fourier spectral analysis to examine the deviations of nuclear mass predictions to the experimental data and to present a novel way for accurate nuclear mass predictions.In this analysis,we map the mass deviations from the space of nucleon number to its conjugate space of frequency,and are able to pin down the main contributions to the model deficiencies.By using the radial basis function approach we can further isolate and quantify the sources.Taking a pedagogical mass model as an example,we examine explicitly the correlation between nuclear effective interactions and the distributions of mass deviations in the frequency domain.The method presented in this work,therefore,opens up a new way for improving the nuclear mass predictions towards a hundred kilo-electron-volt accuracy,which is argued to be the chaos-related limit for the nuclear mass predictions.