MUSIC算法的FPGA实现

针对多重信号分类（MUSIC）算法计算复杂度高,难以实时实现的特点,给出了适用于均匀线阵的实数化预处理算法和实用的空间谱定义,并选择了适合FPGA硬件实现的特征值分解算法,给出了MUSIC算法FPGA实现的整体架构。仿真实验结果表明,该FPGA实现能够完成MUSIC算法的准确、快速计算。     

黄芩的生物活性及其在化妆品中的应用

论述了黄芩的资源、主要化学成份、提取方法、生物活性及其在化妆品中的应用等。黄芩中的主要活性成份黄芩苷和黄芩素等具有广泛的生物活性，如抗菌、抗真菌、抗炎、抗过敏、抗氧化、清除自由基、抗紫外线、抗辐射和抑制酪氨酸酶等，可制备防治痤疮、防晒、祛斑关白、抗皮肤老化和防皱等功效性化妆品，防治牙周炎等口腔用品以及外用洗剂等。黄芩素和黄芩苷等黄芩中主要活性成份是集祛斑关白、防晒、抗敏、消炎和抗衰老多效合一的天然高效多功能化妆品添加剂。     

芳香疗法对动脉压过高的治疗作用——前瞻性临床研究

使用依兰依兰油、甘牛至油和香紫苏油对动脉压过高的病人进行芳香疗法按摩治疗 ,通过问卷调查表统计结果 ,考察其临床降压疗效。结果证明 ,芳香疗法按摩具有可使过高的血压逐渐降低的作用。     

Multi-label dimensionality reduction based on semi-supervised discriminant analysis

Multi-label data with high dimensionality often occurs, which will produce large time and energy overheads when directly used in classification tasks. To solve this problem, a novel algorithm called multi-label dimensionality reduction via semi-supervised discriminant analysis (MSDA) was proposed. It was expected to derive an objective discriminant function as smooth as possible on the data manifold by multi-label learning and semi-supervised learning. By virtue of the latent imformation, which was provided by the graph weighted matrix of sample attributes and the similarity correlation matrix of partial sample labels, MSDA readily made the separability between different classes achieve maximization and estimated the intrinsic geometric structure in the lower manifold space by employing unlabeled data. Extensive experimental results on several real multi-label datasets show that after dimensionality reduction using MSDA, the average classification accuracy is about 9.71% higher than that of other algorithms, and several evaluation metrices like Hamming-loss are also superior to those of other dimensionality reduction methods.     

基于核密度最大熵方法的杂系混合信号盲分离*

传统的独立分量分析方法普遍存在的非线性评价函数只能凭经验选取,当混合信号同时包含超高斯和亚高斯信号时,算法难以取得很好的分离效果。利用基于随机变量矩的核密度最大熵方法对非线性函数进行直接估计,提出了基于核密度最大熵方法的杂系混合信号盲分离算法,成功地分离了杂系混合信号。仿真结果验证了算法的有效性。     

石灰石在转炉中与铁水相互作用研究

根据热力学基础理论研究了CO2-CO气体与Fe—C—Si—Mn体系之间反应以及铁水中[C]对Ca-CO3分解温度的影响．结果表明,在气氛组成变化很宽的范围内,CO2与[C]、[Si]、[Mn]、Fe（1）反应的AG小于零,石灰石分解产生的部分CO：可以替代氧气参与熔池的氧化．气氛组成影响CO：对铁水中元素的氧化顺序．CO：浓度高CO浓度低时,CO2优先氧化[C];CO2浓度低CO浓度高时,CO2优先氧化[Si]．在w[C]=2％～4．5％的范围内,石灰石分解温度T与w[C]％的关系为T=2．40w[C]2%-35．91w[C]%＋1129．1．将石灰石煅烧过程从传统石灰窑中转移到转炉可显著降低石灰石分解温度．CaCO3的分解反应和CO2对熔池的氧化反应互相促进,有利于石灰石的分解和铁水中杂质元素的氧化去除．     

Two-way Markov random walk transductive learning algorithm简

Researchers face many class prediction challenges stemming from a small size of training data vis-a-vis a large number of unlabeled samples to be predicted. Transductive learning is proposed to utilize information about unlabeled data to estimate labels of the unlabeled data for this condition. This work presents a new transductive learning method called two-way Markov random walk （TMRW） algorithm. The algorithm uses information about labeled and unlabeled data to predict the labels of the unlabeled data by taking random walks between the labeled and unlabeled data where data points are viewed as nodes of a graph. The labeled points correlate to unlabeled points and vice versa according to a transition probability matrix. We can get the predicted labels of unlabeled samples by combining the results of the two-way walks. Finally, ensemble learning is combined with transductive learning, and Adboost.MH is taken as the study framework to improve the performance of TMRW, which is the basic learner. Experiments show that this algorithm can predict labels of unlabeled data well.     

食品检测实验室认可关键点的控制

随着我国对食品安全问题的重视,对食品检测工作和食品检测实验室的要求也随之不断提高。据不完全统计,我国有6000多家食品检测实验室,其中通过实验室认可的涉及食品检测的实验室约为1200多家,占实验室总数的近1／3,因此,规范食品检测实验室认可工作和提高认可质量不仅是提高实验室认可水平、有效规避和降低认可风险的手段,     

IF钢连铸板坯表面夹渣缺陷的研究

连铸过程结晶器内的保护渣卷入造成的非金属夹杂物尺寸大、靠近铸坯表面，成为轿车面板等高品质冷轧薄板的主要表面缺陷。本文对鞍钢三炼钢厂生产的IF钢连铸板坯表面夹渣缺陷的分布、形态及成分进行研究，观察到表面夹渣存在的两种形式。探讨了贯通型表面夹渣的形成机理，并提出减少表面夹渣的措施。     

PWM开关电源全桥DC－DC变换器的建模与控制设计

非线性PWM开关电源的建模是设计其闭环控制系统的关键,针对PWM开关电源全桥DC－DC变换器,运用状态空间平均法建立了小信号数学模型。在此基础上设计了电流内环、电压外环双闭环反馈系统。通过Matlab对实例进行分析,验证了双闭环参数选择的合理性。