基于栈自编码器的图像分类器

图像分类问题包含两个重要的部分:特征提取器和分类器.多年来研究人员一直将精力投入到特征表示中,对于分类器却仅进行局部调参.基于一个性能优异的分类器与特征表示对图像分类系统同等重要的思想,提出了基于卷积特征的栈自编码器(stacked autoencoder on convolutional feature maps,SACF)的分类系统,并在数据集CUB-200和VGGflower上进行了实验,对比了SACF与基于卷积特征和多层感知机的卷积神经网络(CNN)分类系统的分类效果,实验结果表明SACF具有更优的分类效果.国家自然科学基金(61572409,61571188,61202143);;福建省自然科学基金(2013J05100);;中国乌龙茶产业福建省2011协同创新中心项目(闽教科[2015]75号);;福建省教育厅A类科技项目(JA13317

Research on protocols' automatic analysis based on compiler

目前国内变电站综合自动化系统中规约种类繁多,IEC逐步提出的一系列通信规约技术标准制定周期又较长,导致国内变电站综合自动化系统中不同厂家或同一厂家在不同时期内对同一种通信规约的实现有所不同,这给现场维护带来极大不便。针对上述情况,提出了基于编译器的标准规约自动解析思想,并以部颁CdT通信规约为例进行了该思想的设计,在自主设计的变电站综合自动化软件系统中得以实现,有很高的实用价值。At present,in the field of domestic transformer substation synthesis automated system,different factories or same factories in different periods carry out the same standard protocol differently,which lead to revise the procedure for transformer substation protection system even it has been input products with same standard protocol.It brings enormous inconvenience for on-site maintenance.In view of above situation,this paper proposes standard protocol automatically parse method based on the template and compiler,and has carried on two kinds of thoughts,respectively by IEC60870-5-103 and CDT issued by the ministry communication protocol for the example.Moreover,combining IEC60870-5-103 protocol applying for transformer substation synthesis automated software system,it has implemented this idea.After the test,it has a very good utility.福建省科技重点项目(2006H0037

The Research on Neural-fuzzy Controller and it's Application in VVVF System

针对变频调速系统的控制问题 ,提出了神经模糊控制策略 ,并将其应用到了交流变频调速系统的实验中。结果表明 ,神经模糊控制器不仅具有令人满意的静、动态性能 ,而且具有很强的鲁棒性和自适应性。This paper presents the neural fuzzy controlling algorithm to resolve the problem in VVVF system and applies it in the test for VVVF system.Results of the research show that neural fuzzy controller has not only static and dynamic performance,but also high robustness and adaptive ability.河南省自然科学基金资助项目 (9544

Hierarchical Image Automatic Annotation Based on Discriminative and Generative Models

图像自动标注是模式识别与计算机视觉等领域中重要而又具有挑战性的问题.针对现有模型存在数据利用率低与易受正负样本不平衡影响等问题,提出了基于判别模型与生成模型的新型层叠图像自动标注模型.该模型第一层利用判别模型对未标注图像进行主题标注,获得相应的相关图像集;第二层利用提出的面向关键词的方法建立图像与关键词之间的联系,并使用提出的迭代算法分别对语义关键词与相关图像进行扩展;最后利用生成模型与扩展的相关图像集对未标注图像进行详细标注.该模型综合了判别模型与生成模型的优点,通过利用较少的相关训练图像来获得更好的标注结果.在COrEl 5k图像库上进行的实验验证了该模型的有效性.Image automatic annotation is a significant and challenging problem in pattern recognition and computer vision.Aiming at the problems that the existing models have low utilization and they are affected by unbalanced positive and negative samples,a hierarchical image annotation model is proposed.In the first layer,discriminative model is used to assign topic annotations to unlabeled images,and then the corresponding relevant image sets are obtained.In the second layer,a keywords-oriented method is proposed to establish links between images and keywords,and then the proposed iterative algorithm is used to expand semantic words and relevant image sets.Finally,a generative model is used to assign detailed annotations to unlabeled images on expanded relevant image sets.Hierarchical model uses less relevant training images to obtain better annotation results.Experimental results on Corel 5K datasets verify the effectiveness of proposed hierarchical image annotation model.国家自然科学基金项目(No.60873179;60803078);高等学校博士学科点专项科研基金项目(No.20090121110032);深圳市科技计划基础研究项目(No.JC200903180630A)资

Graph Configuration System for Substation Integrated Automation Based on JGraph

JgrAPH是一套使用JAVA开发的、兼容SWIng的开源图形组件,具有丰富的图形操作接口和良好的可扩展性。该文基于JgrAPH实现一个跨平台的变电站综合自动化图形组态系统。与现有图形组态系统相比,该系统具有更好的自动处理能力,能实现电力系统设备的自动检测和接线图的自动生成,简化传统变电站图形系统在接线图设计方面的工作。JGraph is an open-source and Swing compatible graph component written in Java.JGraph provides a range of graph API and good extensibility.This paper implements a cross-platform graph configuration system of substation integrated automation based on JGraph, which is more automatic than the existing system.The feature of higher automation is proved by the function of automatic equipment0 recognition and automatic diagram design.It simplifies the diagram design of the tradition substation graph system.福建省重点科技基金资助项目(2006H0037

Research on action recognition via multi-feature fusion

基于时空特征的方法是行为识别的主流方法,已经有许多研究学者提出了多种局部时空特征。然而,不同的局部特征所反映的行为信息的侧重点并不一样。通过引入集成学习的方法,对多种特征在分类器层次上进行融合,使得多种特征能够优势互补,从而增强了特征的描述能力,为构建出高效、稳定的行为识别分类器提供了保证。经仿真实验验证,所提出的方法是鲁棒和有效的。The approach based on the local spatial-temporal features has emerged to be the mainstream method in action recognition area.And various descriptors of local spatial-temporal feature have been presented by researchers.However,different local features may reflect different emphasis of human activity.In this paper, the ensemble learning methods are introduced to perform a late fusion of multiple features so as to enhance the expressing ability of the local features.By the fusion of features, a more effective and robust action classifier can be built up.And the experimental results demonstrate the robustness and effectiveness of the proposed method.国家自然科学基金(No.61373076;No.61202143); 福建省自然科学基金(No.2013J05100;No.2010J01345;No.2011J01367); 高等学校博士学科点专项科研基金(No.201101211120024

ON THE REVIVAL OF RURAL CHARACTERISTIC INDUSTRY IN ARCHITECTURAL CONTEXT： A CASE STUDY OF ZI＇NI TOWN IN LONGHAI

抛开产业经济这个基础,流于建筑形式的“乡村复兴”只是空壳。本文从产业复兴的视角出发,以龙海市紫泥镇蘑菇产业为研究案例,结合当地废弃蘑菇房的改造与再利用,论述如何利用现有的空间形式和建筑手法,从生产、加工、经营等方面进行产业复兴,从而再现乡村活力。The ＂rural revival＂ of an architectural formality is only an empty shell, when it puts aside the industrial economy. From the perspective of industrial revival, this paper takes the mushroom industry of Zi＇ni town in Longhai as the research case, combining with the transformation and re-use of the local abandoned mushroom breeding room and discusses how to use the existing forms of space and architectural practices from the aspects of production, processing and management to carry out the industrial revival, so as to reproduce the vitality of the village

低强度聚焦超声触发PLGA阿霉素在细胞内空化增加乳腺癌细胞死亡

目的探讨低强度聚焦超声能否触发聚乳酸-羟基乙酸共聚物（PLGA）包裹阿霉素在细胞内的空化作用以增加4T1肿瘤细胞的死亡。方法采用双乳化溶剂蒸发法制备了负载阿霉素的聚乳酸-羟基乙酸共聚物（PLGA）纳米气泡。设立细胞内释药组，细胞外释药组，传统给药组，单独超声组和对照组。用流式细胞仪检测各组细胞的死亡情况，用细胞活力检测试剂盒（CCK8）检测各组的细胞增殖，细胞划痕检测各组的侵袭情况。结果超声组细胞核的红色荧光平均强度高于对照组，差异具有统计学意义（t=16.627，P<0.001）；聚乳酸-羟基乙酸共聚物（PLGA）包裹阿霉素在3、5、7、24和48 h的累计释药量超声组均高于对照组，差异都具有统计学意义（P<0.001）；细胞内释药组，细胞外释药组及传统给药组的细胞存活率，细胞增值率及划痕像素面积均低于对照组，且细胞内释药组显著低于其他组，差异具有统计学有意义（P<0.001）。结论低强度聚焦超声通过细胞内空化触发的细胞内药物释放比低强度聚焦超声触发的细胞外药物释放及传统的给药方式更有效地增加4T1肿瘤细胞的死亡

基于词汇吸引与排斥模型的共现词提取

:共现词提取在信息挖掘和自然语言处理中有着十分重要的地位。而传统的共现词提取方法仅仅局 限在单一的一种统计量上,其结果十分不精确,需要人工再进行整理。本文提出了一种基于词汇吸引与排斥 模型的共现词提取算法,并通过将多种常用统计量进行组合,改进了算法的效果。在开放测试环境下,所提取 的共现词其用户感兴趣度为60187 %。将该算法应用于基于Web 的共现词检索系统,在速度和共现词的提取 精度上均取得了比较好的效果。福建省自然科学基金资助项目(A0310009) ;福建省重点科技资助项目(2001J005