苹果粉质化程度是衡量其内部品质的一个重要因素,采用了高光谱散射图像技术进行苹果粉质化的无损检测。针对高光谱散射图像数据量大的特点,提出了局部线性嵌入(local linear embedded,LLE)和支持向量机(support vector machine,SVM)相...苹果粉质化程度是衡量其内部品质的一个重要因素,采用了高光谱散射图像技术进行苹果粉质化的无损检测。针对高光谱散射图像数据量大的特点,提出了局部线性嵌入(local linear embedded,LLE)和支持向量机(support vector machine,SVM)相结合的用于检测苹果粉质化的新分类方法。LLE是一种通过局部线性关系的联合来揭示全局非线性结构的非线性降维方法,能有效计算高维输入数据在低维空间的嵌入流形。对降维后的高光谱数据采用SVM进行分类。将LLE-SVM分类方法与传统的SVM分类方法比较,仿真结果表明,对高光谱数据而言,用LLE-SVM得到的训练精度高于单纯使用SVM的训练精度;降维前后,分类器的测试精度变化不大,波动范围不超过5%。LLE-SVM为高光谱散射图像技术进行苹果粉质化无损检测提供了一个有效的分类方法。展开更多
<strong>Background</strong>: Mealie Meal is one of the by-products of maize from dry milling. It constitutes more significant part of the daily diet of growing population of the Lusaka District of Zambia. ...<strong>Background</strong>: Mealie Meal is one of the by-products of maize from dry milling. It constitutes more significant part of the daily diet of growing population of the Lusaka District of Zambia. However, reported cases of a cholera outbreak in October 2017-May 2018 were attributed to water contamination in the households of Lusaka. Hitherto there is no previous study or documented data for gastroenteritis caused by microbial contamination from food stores. <strong>Aim</strong>: The main objective of the study was to carry out species identification of Mealie meal spoilage organisms and pathogenic bacteria from selected food stores in Lusaka district from September 2019-March 2020. Crosssectional survey was conducted for food spoilage organisms and pathogenic bacteria of packaged maize meal flour from a selected food store. The number of packaged Mealie meal samples from selected food stores included in the study was 143 samples. Samples were obtained by a simple stratified random selection from food stores in Lusaka District. Thus Mealie Meal samples bought from Street food vendors were 96 (67%), Shops—30 (21%), Malls—17 (11.9%). Subsequently isolation by spread and pour plate methods, and species identification of microbial contamination by Cell Culture processes coupled to microbial morphological and biochemical characterization was performed. Microsoft Office Excel (version 2007) Spreadsheet was employed for the categorical data analysis and summarized graphical presentation of data. Laboratory findings revealed: Spoilage organisms—<em>Aspergillum</em> species, <em>Mucor</em> Species, <em>Candida</em> Species, <em>Clostridium</em> Species and <em>Bacillus</em> Species;Pathogenic Bacteria Species—<em>Clostridium perfringens</em>, <em>Staphylococcus aureus</em>, <em>Clostridium tetani</em>, <em>Bacillus</em>, <em>Escherichia coli</em>, <em>Pseudomonas aeruginosa</em> and <em>Yesinia pestis</em>. It can be established from the laboratory results earlier mentioned that the food poisoning outbreak展开更多
文摘苹果粉质化程度是衡量其内部品质的一个重要因素,采用了高光谱散射图像技术进行苹果粉质化的无损检测。针对高光谱散射图像数据量大的特点,提出了局部线性嵌入(local linear embedded,LLE)和支持向量机(support vector machine,SVM)相结合的用于检测苹果粉质化的新分类方法。LLE是一种通过局部线性关系的联合来揭示全局非线性结构的非线性降维方法,能有效计算高维输入数据在低维空间的嵌入流形。对降维后的高光谱数据采用SVM进行分类。将LLE-SVM分类方法与传统的SVM分类方法比较,仿真结果表明,对高光谱数据而言,用LLE-SVM得到的训练精度高于单纯使用SVM的训练精度;降维前后,分类器的测试精度变化不大,波动范围不超过5%。LLE-SVM为高光谱散射图像技术进行苹果粉质化无损检测提供了一个有效的分类方法。
文摘<strong>Background</strong>: Mealie Meal is one of the by-products of maize from dry milling. It constitutes more significant part of the daily diet of growing population of the Lusaka District of Zambia. However, reported cases of a cholera outbreak in October 2017-May 2018 were attributed to water contamination in the households of Lusaka. Hitherto there is no previous study or documented data for gastroenteritis caused by microbial contamination from food stores. <strong>Aim</strong>: The main objective of the study was to carry out species identification of Mealie meal spoilage organisms and pathogenic bacteria from selected food stores in Lusaka district from September 2019-March 2020. Crosssectional survey was conducted for food spoilage organisms and pathogenic bacteria of packaged maize meal flour from a selected food store. The number of packaged Mealie meal samples from selected food stores included in the study was 143 samples. Samples were obtained by a simple stratified random selection from food stores in Lusaka District. Thus Mealie Meal samples bought from Street food vendors were 96 (67%), Shops—30 (21%), Malls—17 (11.9%). Subsequently isolation by spread and pour plate methods, and species identification of microbial contamination by Cell Culture processes coupled to microbial morphological and biochemical characterization was performed. Microsoft Office Excel (version 2007) Spreadsheet was employed for the categorical data analysis and summarized graphical presentation of data. Laboratory findings revealed: Spoilage organisms—<em>Aspergillum</em> species, <em>Mucor</em> Species, <em>Candida</em> Species, <em>Clostridium</em> Species and <em>Bacillus</em> Species;Pathogenic Bacteria Species—<em>Clostridium perfringens</em>, <em>Staphylococcus aureus</em>, <em>Clostridium tetani</em>, <em>Bacillus</em>, <em>Escherichia coli</em>, <em>Pseudomonas aeruginosa</em> and <em>Yesinia pestis</em>. It can be established from the laboratory results earlier mentioned that the food poisoning outbreak
