论当前粮食仓储工作中的几个问题

本文结合湖北实际,对粮食仓储工作的现状进行了分析,指出了当前存在而应在“八五”期间加以解决的粮仓建设、粮库改革、科学研究、四无粮仓、人才培训五个问题。提出了粮仓建设的量化意见,讨论了粮库改革的方向、储粮科学研完的重点、坚持四无粮仓和提高人员素质的重要性。     

基于OpenLayers的矿场人员监控系统的研究与设计

矿区工作人员的人身安全问题和工作职责问题一直困扰着用工单位。有没有办法实时监控到矿工,又不用花费太高的成本呢?本文介绍了一种基于OpenLayers、Geoserver、J2EE的矿场人员监控的WebGIS应用的设计。     

关于节目主持人形象塑造教学过程中的技巧探析

节目主持人的形象直接影响着整个节目的质量,文章针对节目主持人形象问题的塑造展开了研究和分析,同时结合在实际教学中经常出现的问题,从主持人形象要求教学模式的实际情况出发,阐述和分析了主持人形象塑造教学过程中的教学技巧和方法。     

电力信息自动化系统中Web技术时间应用分析

在我国的变电所的分布不是非常集中,并且变电的设备也较多,因此精确管理难度和宏观调度都有很大的增加。WEB技术可以使得非常简单的浏览和开发信息,并且可以使得变电所之间的信息交流便得增加,因此电力信息自动化系统的WEB技术应用越来越广泛。     

利用Applet制作电子相册

本文通过介绍Applet的体系结构和其生命周期以及如何创建和执行Applet程序,介绍了电子相册的制作过程。     

支持多种闪存启动的U-Boot实现方法的改进

标准的U-Boot目前不支持从NAND Flash启动,而现有的修改U-Boot实现从NAND Flash启动的方法无法识别新的大页NAND Flash,也没有进行坏块检测。针对上述问题,提出获取NAND Flash页大小和块大小信息的通用方法,并实现了坏块检测功能。此外,对现有的上电后自动识别系统是从NOR还是从NAND Flash启动的方法进行了改进。将U-Boot-2010.09修改并移植到基于S3C2440A处理器的mini2440开发板上,运行结果表明,实现了U-Boot从NOR和NAND Flash的双启动,扩展了U-Boot的功能。     

Hydriding-dehydriding properties of Mg2Ni alloy modified by ball-milling in tetrahydrofuran

A new approach of ball-milled Mg2Ni in tetrahydrofuran (THF) to improve the hydriding kinetics of Mg2Ni alloy is suggested and studied. It is found that the modified alloy displayed the improved activity for hydriding even at relatively low temperature (e.g., 323-373 K). In the case of the sample milled in THF for 20 h, the hydrogen content (mass fraction) reaches 1.6 % at 323 K, 2.1% at 348 K and 3.4% at 448 K, respectively. The use of THF during grinding led to the change of the structure, which is reflected by the broadening and weakening of the diffraction peaks in the XRD spectra. The XPS analysis shows that Mg (2s) binding energy peak of Mg2Ni after modification shifted from a lower binding energy to a higher one, indicating the charge transference between Mg and THF and the formation of catalytically active electron donor-acceptor (EDA) complexes on the surface of modified Mg2Ni alloy.     

Senescence Marker Protein 30 (SMP30): A Novel Pan-Species Diagnostic Marker for the Histopathological Diagnosis of Breast Cancer in Humans and Animals

Senescence marker protein 30 (SMP30) is a cell survival factor playing an important role in vitamin C synthesis and antiapoptosis. Moreover, its cytoprotective role suggests a possibility to be related to cancer cell survival. Mammary carcinoma is a common cancer in both humans and animals. Because of its histopathological diversity, especially in the early stage, histopathological diagnosis may be complicated; therefore, a diagnostic marker is helpful for confirmation. The present study analyzed the expression pattern of SMP30 in mammary carcinoma in humans, dogs, and cats. Immunohistochemistry, immunofluorescence, and western blot analysis were used to investigate SMP30 expression patterns. The expression was specifically observed in neoplastic glandular epithelial cells. The expression increased with the malignancy of glandular epithelial cells with a highly proliferative status. However, SMP30 expression was low in normal mammary gland tissues or well-differentiated adenoma tissues. The patterns were consistently reproduced in canine primary mammary carcinoma cells and MCF-7 and MDA-MB-231 human carcinoma cell lines. This study provides useful information to understand SMP30 expression in various stages of mammary carcinoma and to suggest its utility as a pan-species diagnostic marker, thereby helping to establish strategies for diagnosing mammary carcinoma in several species.     

Effective DOA Estimation Under Low Signal-to-Noise Ratio Based on Multi-Source Information Meta Fusion

Efficiently performing high-resolution direction of arrival (DOA) estimation under low signal-to-noise ratio (SNR) conditions has always been a challenge task in the literatures. Obvi-ously, in order to address this problem, the key is how to mine or reveal as much DOA related in-formation as possible from the degraded array outputs. However, it is certain that there is no per-fect solution for low SNR DOA estimation designed in the way of winner-takes-all. Therefore, this paper proposes to explore in depth the complementary DOA related information that exists in spa-tial spectrums acquired by different basic DOA estimators. Specifically, these basic spatial spec-trums are employed as the input of multi-source information fusion model. And the multi-source in-formation fusion model is composed of three heterogeneous meta learning machines, namely neural networks (NN), support vector machine (SVM), and random forests (RF). The final meta-spec-trum can be obtained by performing a final decision-making method. Experimental results illus-trate that the proposed information fusion based DOA estimation method can really make full use of the complementary information in the spatial spectrums obtained by different basic DOA estim-ators. Even under low SNR conditions, promising DOA estimation performance can be achieved.     

一种新的知觉分割模型*

根据知觉的最新理论研究和实验结果,提出一种新的知觉模型,并用于考查计算机视觉中的分割问题.分割问题实质上是知觉表达问题,现在分割的困难性可能是知觉上局部到整体的还原论假设造成的;分割可能不是一次完成的,而是经过整体到局部的过程才最终完成.新的知觉模型将对建立更好的分割模型提供理论基础.