湿热蕴肺证治探析

湿热蕴肺是咳嗽的一个重要证型,临床上较为常见。该证因其病因病机和症状复杂给诊断和治疗带来困难。舌象是诊断湿热蕴肺的关键指标,治疗上宜湿热两清,宣肺降气止咳。临证中以千金苇茎汤加减化裁治疗湿热蕴肺,疗效满意。故分析湿热蕴肺的病因和病机特点,列出鉴别诊断,对其证治要点进行探讨,并举以验案,以供学习与临证参考。厦门市重大科技计划项目(3502Z20100006

Model Reference Fuzzy Adaptive PID Control of Paraffin Oil Level in Capsule Forming Machine

滴丸机定型杯石蜡油液位控制系统是一个存在非线性、参数时变性和耦合性的复杂系统.通过分析建立了该液位系统的数学模型,并且将自适应控制、模糊控制和PID控制结合起来,提出了一种模型参考模糊自适应PID控制方法.该方法无需辨识被控对象参数,实时性好,便于在线控制.仿真结果表明,该方法具有较好的动态品质和调节精度,以及很强的鲁棒性,即使当被控对象参数摄动20%时,依然可以获得理想的控制效果.现场运行实验结果也表明了该方法的有效性.The paraffin oil level control system in capsule forming machine is a nonlineart,ime-variant and coupling system.The mathematical model of the level control system was established.And a new model reference fuzzy adap-tive PID(MRFA-PID)control method was proposed by combining the adaptive control,fuzzy control and PID control techniques.Without need to identify the parameters of the controlled plantt,he proposed method has a good real-time performance,and is easy to be implemented on line.Simulation results show that the proposed method is efficient to design a robust paraffin oil level control system for capsule forming machine with good dynamic character and high regulation precision.Even though the parametersp′erturbation reaches 20%t,he closed-loop system still has satisfied dynamic performance.The effectiveness of the proposed method is also verified by physical experiment.厦门市科技计划资助项目(3502Z2006008

Optimized Kernel-Based Conformal Predictor for Online Fault Detection

为了提高相符预测器的计算效率,在算法中引入基于核的度量学习.将其学习过程分解成2部分:先通过提高75%的训练样本的类可分性获得1个优化核;然后在优化的核空间中采用k近邻方法设计奇异度函数,并使用剩下的25%的样本实现标准的相符预测器算法.将新算法应用于田纳西-伊斯曼过程的多类故障诊断问题,实验结果表明,在保证高的预测效率的同时,新算法可以显著降低计算时间.In order to improve the computational efficiency of conformal predictora,procedure of adaptive kernel-based distance metric learning was incorporated in the algorithm.The learning process was divided into two stages.Firstlya,n op-timized kernel was obtained by increasing the class separability of 75% of the training samples.Secondlyt,he k nearest neighbor classifier was used to design a nonconformity measure function in the optimized kernel space.And then the stan-dard conformal predictor algorithm was conducted on the remaining 25% of the training samples.The new method was ap-plied to the multiple fault diagnosis of Tennessee Eastman process.The results show that the new algorithm provides substan-tial reductions in computational timea,nd ensures high predictive efficiency as well.厦门大学985二期工程信息创新平台资助项目(0000-x07204);厦门市科技计划资助项目(3502Z20083028

Cycle-deadlock Control of Rail Guided Vehicles Systems via Petri Nets

为实现自动小车存取系统的实时控制,基于双重着色赋时PETrI网(COlOrEd TI MEd PETrI nETS,CTPn)构建了rgVS系统(rAIl-guIdEd VEHIClES SySTEM,rgVS)的动态模型。同时为了提高rgVS系统的存储效率,对rgV小车采用基于最短路径的调度策略。并针对rgVS系统的临界状态即将发生环路(环路链)死锁的状况,提出了一种死锁预防的方法。最后基于VC.nET验证其有效性。In order to implement the real time control of the Rail-Guided Vehicles systems,a deadlock control modeling method via Dual Colored Timed Petri Nets was proposed.Moreover,the scheduling strategy for the RGVs system based on shortest path method was addressed to improve the efficiency of storage and retrieval.Then,the critical state in deadlock free was identified and FCFS policy was applied to solve it.Finally,experimental results verified the effectiveness of the policies.厦门大学985二期信息创新平台项目资

Fault diagnosis method based on modified random forests

为解决不可识别故障诊断中无法有效定位的问题,提出一种基于改进随机森林的故障诊断方法。该方法通过改进决策树的bAggIng方式,采用条件概率指数进行决策树的无偏节点分裂,并以权重投票法综合决策树的分类结果。在此基础上,利用变量重要性测量来获取辅助故障定位的故障原型指数,从而较好地弥补了随机森林和传统机器学习在故障诊断中的不足和局限性。最后在一个标准数据集和田纳西-伊斯曼故障诊断的问题上进行验证,结果证明了该方法的有效性与可行性。To solve the problem of inefficient determining fault location in unidentified fault diagnosis of traditional machine-learning technologies, a fault diagnosis method based on modified random forests was proposed.Firstly, random decision trees were created via modified algorithm of bagging and unbiased split selection based on conditional probability index so as to construct random forests.Secondly, weighted voting was applied to combine the prediction of the decision trees.Then, fault prototypes were computed through the measurement of variable-importance in random forests, which assisted in determining the fault location.Finally, the proposed method was illustrated and documented thoroughly in an application of standard dataset and Tennessee Eastman Process (TEP) fault diagnosis.The results verified the presented approach's feasibility and effectiveness.国家自然科学基金资助项目(60704043)---

Hydrothermal synthetic ZnAl_2O_4 and Humidity sensing properties research

以Al2(SO4)3和zn(nO3)2为原料,采用水热法合成铝酸锌微粉体,通过扫描电镜和Xrd分析发现znAl2O4晶型良好,粒径小,呈纤维状均匀分布;进一步研究湿敏特性,结果表明:测试频率对阻抗-相对湿度(rH)特性曲线影响较大,阻抗随频率的增加而迅速减小,10kHz时在33%~95%的范围内曲线的线性度好,在相同的湿度下,试样的电容随频率的增加而减小,在低频100Hz下,电容随相对湿度的升高而增大。A simple hydrothermal was developed to fabricate ZnAl2O4 micro powder with Al2(SO4)3 and Zn(NO3)2 as raw materials,through the scanning electron microscopy(SEM)and XRD analysis found that the particles have good crystal shapesmall size,fibrous evenly distributed;Further researching the humidity sensing properties,the results show that test frequency have big effect on impedance-relative humidity(RH)characteristic curve,impedance decreases as frequency increases,the good linearity of the curve of impedance versus relative humidity appears at the frequency of 10KHZ,the capacitance of the sensor decreases as frequency increases in the same humidity and at low measurement frequency 100HZ,the capacitance increases as RH increases

Recognition of traditional Chinese medicine on cancer pain and a corresponding analysis for its medication regularity

中医诊治肿瘤是当今中医防治重大疾病的一个特色。癌痛发生的机制极其复杂,全面了解癌痛中医的发病和证型,是进行有效缓解癌痛症状的重要基础。文章通过对癌性疼痛中医发病的再认识与探讨、证型分析、列举癌痛症状的常见证型,阐明中医辨证论治癌痛的规律;并针对不同癌痛证型的治疗,明确了用药的合理性。西医学对癌痛机制的研究推进了中医用药,但在癌痛药物应用上各有缺陷和不足,有待现代科学技术进一步研究。文章从癌痛病因病机特点出发,探讨癌痛不同证型中药使用规律,对恶性肿瘤基本病机的再认识和治疗具有重要指导作用。Currently, traditional Chinese medicine(TCM) in the treatment of cancer was considered as a characteristic in prevention and cure of major diseases.It was all known that the mechanism of cancer pain was extremely complex, for the reason that a comprehensive understanding of the pathogenesis and syndrome types played an important role in relieving the pain symptom of cancer.In this paper, recognized the pathogenesis in TCM, syndrome types and common symptoms, it illustrated the regularity of TCM in the differentiation syndrome and the treatment of cancer pain.The different Chinese drugs were directly and reasonably prescribed for different syndrome types of cancer pain.Thanks to the study of western medicine, the TCM medication had significant progress on the treatment of cancer pain.But, modern science and technology still should be needed to make a great effort for the further study, because of defects and deficiencies either in western medicine or Chinese medicine.Generally, according to the characteristics of cause and pathogenesis of cancer pain, this paper explored the regularity of TCM medication for different syndrome types of cancer pain, which would have important guidance effect on recognition and treatment of cancer.厦门市重大科技计划项目(No.3502Z20100006)~

价键理论的对不变式方法——Ⅱ.无自旋价键计算程序Xiamen

发展完善了价键理论的对不变式方法,给出了对不变式的正则展开方法,并证明了对不变式可以展开成任意阶的子对不变式和相应余子式乘积的形式.利用对不变式方法,完成一个新的无自旋价键理论方法从头计算程序——Xiamen.测试计算表明,Xiamen程序比基于传统价键方法的程序计算效率高,为量子化学计算研究提供了一个新工具

Multistage Inverse Modeling Method and Its Application in Gelatin Solution Production Process

针对一类串联型工业大系统,提出了多阶段逆模型建模方法:将串联大系统分为若干个阶段,以产品质量指标作为过程设计的起点,用逆向推理的方法,建立各个阶段的逆模型;根据产品质量指标的要求,直接求出各个阶段的控制变量设定值。将该方法应用于胶液生成过程的软测量建模,采用多阶段建模方法和整体建模方法分别建立了基于bP神经网络的胶液生成过程逆模型,并从误差平方和MSE和命中率等方面对两种建模方法的建模精度进行了比较。结果表明,多阶段建模方法可以获得更高的建模精度;同时,具有更大的灵活性;而且逆模型方法可以根据质量指标求出控制变量设定值,更便于实际应用。Aiming at a class of serially connected industrial system,a novel multistage inverse modeling method was presented.The large-scale system is divided into several stages.Using specified product qualities as a starting point for process design.By backward reasoning the required process conditions and the control variable set points of all stages for processing system were found.The inverse models of gelatin solution production process were established based on the BP neural network by using multistage modeling method and whole stage modeling method,and modeling accuracy comparison were made from error and hit rates.The simulation results indicate the model based on the proposed method has smaller error and higher hit rates.Meanwhile,the break down of the sub models increases the flexibility of model development and reduces the effort to change the model when the sub models change.And the required process conditions and the control variable set points of all stages for processing system were found according to specified product qualities.Thus,it is easy to be really applied.This method has been successfully applied on improving the gelatin solution production process and product quality control.厦门市科技计划项目(3502Z20083028);国家自然科学基金项目(50843059);福建省教育厅科技项目(JA08218

高致病性禽流感病毒广谱嵌合抗体的构建表达及活性研究

高致病性禽流感病毒高度变异且缺乏有效的治疗药物.在前期研究工作中,本课题组发现一株鼠源广谱中和单抗13D4,在动物实验中显示出对H5N1禽流感病毒具有广谱治疗效果.在本研究中,从分泌13D4单克隆抗体的杂交瘤细胞株中抽提总RNA,经RT-PCR扩增出轻重链可变区DNA序列,并分别与人IgG1的轻重链恒定区基因序列拼接,构建人-鼠嵌合抗体.筛选出稳定表达嵌合抗体的CHO细胞株,从培养上清中纯化出嵌合抗体.竞争Elisa结果表明,嵌合抗体与鼠源单抗能够识别同一个抗原表位并具有相似的亲和力.血凝抑制反应和中和活性测定结果证明,13D4嵌合抗体保留了对不同亚型H5N1病毒的广谱反应性,并且对两株H5N1病毒具有中和活性.本研究获得的13D4嵌合抗体将具有潜在的治疗价值