Identification of Colorants in Food by Surface-enhanced Raman Spectroscopy and Wavelet-based Reverse Search

使用金纳米粒子为增强因子的表面增强拉曼光谱技术,通过连续小波变换将拉曼光谱信号转化到小波空间(墨西哥帽小波作为小波基)。该步骤能够减轻信号中基线; 变化及随机噪音的影响并找到峰位置和最佳小波尺度系数。依据小波空间中的信息,对混合物光谱及标准谱光谱进行反向搜索得到反向搜索匹配系数(Revere; match quality,; RMQ),作为判断混合物中目标成分是否存在的依据。该算法可对混合物中的目标物质进行准确定性,并已成功应用于多种食品中色素鉴定。食品中色素的检出率; 达到99%,且结果稳健,其效果明显优于传统的命中质量系数法(Hit quality index,; HQI)。这证实了小波空间反向搜索方法是一种快速而准确的拉曼光谱定性算法。In this study, a gold nanocrystal colloid was used as the enhancement; factor for surfaceenhanced Raman scattering (SERS). Raman spectra were; transformed by continuous wavelet transform (CWT),and Mexican hat; wavelet were chosen as the wavelet basis. This procedure could be used; to alleviate the influence of baseline variations and random noise,and; find peak positions and the best scale wavelet coefficients of signal.; Reverse search method was proposed to compare the spectrum of an unknown; sample with a spectrum of standard using the information in wavelet; space. Reverse match quality (RMQ) could be obtained automatically to; determine whether a substance is present. It was used to identify; colorants in a variety of food successfully. The colorants could be; identified with 99 percent accuracy. It shows a better performance; compared with traditional hit quality index (HQI). The study confirmed; that the wavelet-based reverse search is feasible and accurate in; qualitative analysis.国家自然科学基金资助项目; 国家重大科学仪器设备开发专

数学实验与数学建模研究的程序基础

使学生摆脱对数学的恐惧,意识到数学的重要性、数学的乐趣以及培养学生创新能力、应用数学解决实际问题的能力,离不开数学实验与数学建模的改革。针对数学建模与数学实验研究程序,从数学的角度进行分析,给出一个量化的实现过程。广西高等教育教学改革工程项目(2014JGA229);梧州学院教改项目(wyjg2013B003)研究成

浅析大学课堂的生动教学与高质量教学

大学课堂尽管与中小学有所不同,但是同样要遵守教学中需要的一些基本原则,如严谨性与量力性相结合的原则,抽象与具体相结合的原则,理论与实际相结合的原则等。大学课堂要达到生动教学与高质量教学相结合,需要教师把教书当成乐趣,在课堂上与学生积极互动,培养自身基本的教学能力。只有这样,学生才愿意接受教师的教学内容,才愿意跟从教师学习;只有这样,才能提高教学效率,保证教学质量。2014年度广西高教改革工程项目(2014JGA229);梧州学院教改项目(wyjg2014B030,wyjg2013B003)的研究成

Parameter Resolution Analysis of Gaussian Model of Ultrasonic Signal Based on Fuzzy Function

模糊函数是一种超声检测系统性能分析的重要工具。文中首先给出超声信号高斯模型,接着推导该模型的模糊函数,最后讨论分析与探测距离和移动目标速度相关的超声检测系统的时间和频率分辨率,并给出了相关超声检测系统参数选择的参考。理论推导和仿真结果表明:辨别运动着的目标,用长持续时间的信号,即窄带宽;辨别近距离的目标,用短持续时间的信号,即宽带宽。Fuzzy function is an important tool for the performance analysis of ultrasonic testing systems. In this paper, the ultrasonic Gaussian model is proposed at first. Then, the fuzzy function of the ultrasonic signal for Gaussian model is derived in detail. Finally, the resolution of time and frequency for an ultrasonic testing system is analyzed, which is related to distance of detection target and speed of moving target. Reference for selecting parameter value of an ultrasonic testing system is provided. Theoretical derivation and simulation results show that it is better to discern moving targets by using a narrow bandwidth signal. And for distinguishing国家自然科学基金资助项目(61561008)； 广西自然科学基金资助项目(2014GXNSFBB118005)； 广西高校科研资助项目(ZD2014124)； 广西混杂计算与集成电路设计分析重点实验室开放课题资助项目(HCIC2014)； 广西民族大学科研资助项目(2014MDQD019,2015MDYB014

基于循序渐进模式的学生创新创业能力的培养——以电子信息类专业为例

通过现阶段高校人才培养机制培养出来的毕业生与现代企业人才需求标准不相符。应该基于高校创新创业型人才的培养现状,针对电子信息类专业的特点,分析电子信息类专业学生应具备的创新创业能力的基本素质,构建大学生创新创业教育的课程体系,实施大学生创新创业训练计划的方案,以及实施方案的运行管理机制,促进高校人才培养机制的转变,努力探索解决大学生就业难题。2014年度广西高教改革工程项目(2014JGA229);梧州学院教改项目(wyjg2014B030,wyjg2013B003

Design of wireless sensor data processing systemfor border management and control based on artificial intelligence

边境管控在国防安全和国民经济社会发展中具有重要作用。针对目前边境管控的严峻形势,提出了运用无线传感网络技术建立能获取跨境事件位置和相关信息的传感网络,利用人工神经网络技术,设计了基于人工智能的边境传感信息处理系统,并用Matlab进行了仿真实验。实验结果表明这一边境传感信息处理系统稳定可靠,具有较高的准确率,可以提升边境传感信息的价值含量,协助边境管理部门提高边境管控能力和效率。Border control plays an important role in national defense security and national economic and social development. Aimingat the grim situation of border control, a wireless sensor network is proposed to acquire the location and related information ofcross-border events. Using artificial neural network technology, a border sensor information processing system based on artificialintelligence is designed. Simulation experiments are carried out with Matlab. The experimental results show that the system is stableand reliable, and has higher accuracy. It can enhance the value of the border sensing information and assist the border managementdepartments in improving the ability and efficiency of border control.国家自然科学基金(61640016)； 广西高校智能计算重点实验室项目(15CI08Y)； 广西维稳研究项目(20161A005