排序方式: 共有140条查询结果,搜索用时 15 毫秒
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T. Raghava Rao D. N. Rao B. Veerendra Kumar P. Aparanji K. Srinivas Rao R. Athota 《Indian journal of clinical biochemistry : IJCB》2003,18(1):29-34
Sensitization to ingested foods is a known fact and several food allergens have been characterized. It has been observed in
our survey that the people complained of allergic symptoms after consumption of the vegetableVigna sinensis. In this study, the experiments were carried to investigate the IgE antibody response against the green seed extract of vigna
sinensis in mice and found that the primary, secondary and tertiary immunization with or without adjuvant by different doses
induced a significant production of IgE antibodies. The presence of IgE antibodies in the mice sera were determined by passive
cutaneous anaphylaxis and enzyme linked immunosorbent assay. It was also confirmed that these allergens were found to be heat
resistant and shared a common epitope(s) with the other legume foods, as evidenced by the cross-reactive studies. 相似文献
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独立成分分析法(ICA)是近几年发展起来的一种新的信号分离方法。本文介绍了ICA的定义、基本原理及几种主要算法及其相互关系,并进一步讨论了ICA在各个领域的应用。 相似文献
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提出了一种利用控制器局域网(CAN)驱动器PCA82C250扩展通用异步收发器(UART)的方法,与原有RS232、RS422和RS485标准相比,在保持全双工通信模式的同时,具有传输距离远、通信速率高和组网节点多的优点,而且,无需CAN控制器即可使用,可以简化电路,降低成本。 相似文献
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近年来,生物特征识别技术得到了快速的发展,人脸检测技术也在不断进步.与其他人体生物特征识别系统相比,人脸识别更加直接和便利化,因而容易为用户所接受,并且其在身份验证、公安刑侦、智能视频监控、智能人机交互系统等方面都有着广泛的应用. 相似文献
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管理咨询公司信息化咨询服务能力的评价模型——基于上海市30家管理咨询公司实证研究 总被引:1,自引:0,他引:1
认为管理咨询公司的竞争力大小取决于其所能提供的服务质量。从从业经验、市场竞争力、信誉与服务能力4方面调查并获得上海市30家管理咨询公司的基础数据,运用主成分分析法对其进行评价,以便为信息化建设实施企业提供参考。 相似文献
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针对DEA模型在处理相关性强的输入输出数据方面的不足,建立了基于PCA-DEA的组合评价模型,应用于我国煤炭产业的生态效率评价.本文首先回顾了生态效率的内涵,然后借鉴德国的环境经济账户,结合我国煤炭产业自身特点,构建煤炭产业生态效率评价指标体系;进而依据PCA-DEA组合评价模型流程,利用主成分分析法(PCA)提取影响生态效率的主成分,采用DEA模型对我国煤炭产业2001年-2010年间生态效率状况进行了评价.研究显示:①我国煤炭产业在2001年-2010年10年发展过程中,仅有2003年、2010年两年达到了DEA相对有效,表明投入产出要素的技术和规模效率处于最佳状态;②剩余8年均处于不同程度地无效率状态,其中有5年实现纯技术效率有效,3年纯技术效率和规模效率均无效,且规模报酬递减;③10年中的纯技术效率都大于规模效率,表明我国煤炭产业的综合技术无效主要原因在于规模无效.最后根据分析结果为提高煤炭产业生态效率提出了有针对性的对策建议. 相似文献
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The eigenface method that uses principal component analysis (PCA) has been the standard and popular method used in face recognition. This paper presents a PCA - memetic algorithm (PCA-MA) approach for feature selection. PCA has been extended by MAs where the former was used for feature extraction/dimensionality reduction and the latter exploited for feature selection. Simulations were performed over ORL and YaleB face databases using Euclidean norm as the classifier. It was found that as far as the recognition rate is concerned, PCA-MA completely outperforms the eigenface method. We compared the performance of PCA extended with genetic algorithm (PCA-GA) with our proposed PCA-MA method. The results also clearly established the supremacy of the PCA-MA method over the PCA-GA method. We further extended linear discriminant analysis (LDA) and kernel principal component analysis (KPCA) approaches with the MA and observed significant improvement in recognition rate with fewer features. This paper also compares the performance of PCA-MA, LDA-MA and KPCA-MA approaches. 相似文献
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提出一种基于主成分分析和支持向量机与线性判别分析结合算法的合成孔径雷达(synthetic aperture radar,SAR)图像目标鉴别方法.利用主成分分析算法对SAR图像向量进行降维并提取其全局特征,对降维后的全局特征采用最小类内散度支持向量机算法进行变换,并对变换结果训练生成最佳分类器,进行分类完成目标鉴别.实验结果表明该方法可以获得较高的分类正确率. 相似文献