公共管理实证研究中的机制挖掘可行吗?

机制挖掘是公共管理实证主义研究兴起的内在要求,也是其“科学化”诉求的必然结果,它意味着公共管理研究取得了较大进步。但是公共管理实证研究中的机制挖掘具有先天不足,主要体现在机制提炼和机制结论两个方面。机制提炼的内在困境表现在:从微观个体上升为宏观机制的逻辑不周延,因果链条的隐蔽性和多重性,从具象到抽象脉络提炼的主观选择和判断;机制结论的内在缺陷表现在:理论结论的情景化被选择性删除,理论结论的条件约束被概推冲动所忽视,理论结论的周延性和饱和度无法测量。寻找化解公共管理实证研究中机制挖掘困境的出路并不容易,可以从三个方面努力:谨慎理论概括,扎根结论情景,提炼约束前提。明确机制挖掘的不足及其化解思路,可以促进公共管理实证研究质量进一步提升。

基于机会认知的类脑智能数据挖掘机制

由于类脑智能数据具有协同多种不同的认知能力,对复杂环境具备极强的自适应能力,需要组建类脑智能数据的挖掘机制。但是采用当前的算法建立挖掘机制时,难以精确地消除数据中存在的冗余性,存在数据挖掘误差大的问题。为此提出基于机会认知的类脑智能数据挖掘机制。上述方法融合于时间粒度先对原始数据的时间序列进行分割,完成对数据的预处理,依据马氏距离来调整类脑智能数据变量之间的相关性,通过协方差矩阵得到其特征值和特征向量,将离散化的智能数据在粗糙集理论基础上进行属性的约简,在不损失原有类脑智能数据信息的基础上消除表中的冗余片段,从而组建了基于机会认知的类脑智能数据挖掘机制。实验结果表明,所提方法执行类脑智能数据挖掘效果较好,且挖掘效率较快。

实时多媒体数据挖掘的新机制

构造了一个实时多媒体数据挖掘模型 (RMDM ) ;提出了一种基于RMDM对原始视频数据进行数据挖掘的新机制 ,它主要采用序列分析分割、段内特征提取和段间聚集群分来实现 ;并在视频分段中找出了低类包含高类这个类间关系 .在一定程度上 。

高职院校大学生先进典型挖掘、培育机制研究

长期以来,高职院校从加强大学生思想政治教育出发,重视先进典型的选树和培养工作,力求以先进典型的示范引导作用,激励广大学生积极践行社会主义核心价值观,增强社会责任感和历史使命感,把个人奋斗同实现中国梦紧密结合起来,取得了显著的成效。本文分析了当前高职院校挖掘和培育大学生先进典型机制存在的一些共性问题,并就此提出了解决对策。

企业知识型员工的隐性知识挖掘

知识型员工已经成为企业竞争的重点，其掌握的隐性知识有助于企业进行创新，实现企业价值。因此如何更好的挖掘知识型员工的隐性知识为企业所用，从而提高企业的核心竞争力是知识管理的趋势，本文就知识型员工隐性知识及其特点、知识型员工隐性知识挖掘的障碍进行了探讨，并提出了有利于隐性知识挖掘的激励机制、企业文化、交流平台等策略。

Linear and nonlinear control of a robotic excavator

Various control systems for a robotic excavator named LUCIE (Lancaster University Computerized and Intelligent Excavator),were investigated. The excavator is being developed to dig trenches autonomously. One stumbling block is the achievement of adequate,accurate,quick and smooth movement under automatic control. Here,both classical and modern approaches are considered,including proportional-integral-derivative (PID) control tuned by conventional Zigler-Nichols rules,linear proportional-integral-plus (PIP) control,and a novel nonlinear PIP controller based on a state-dependent parameter (SDP) model structure,in which the parameters are functionally dependent on other variables in the system. Implementation results for the excavator joint arms control demonstrate that SDP-PIP controller provides the improved performance with fast,smooth and accurate response in comparison with both PID and linearized PIP control.

Dynamic simulation and optimal control strategy for a parallel hybrid hydraulic excavator

The primary focus of this study is to investigate the control strategies of a hybrid system used in hydraulic excavators. First, the structure and evaluation target of hybrid hydraulic excavators are analyzed. Then the dynamic system model including batteries, motor and engine is built as the simulation environment to obtain control results. A so-called multi-work-point dynamic control strategy, which has both closed-loop speed PI (proportion integral) control and direct torque control, is proposed and studied in the simulation model. Simulation results indicate that the hybrid system with this strategy can meet the power demand and achieve better system stability and higher fuel efficiency.

Modeling and control of hydraulic excavator's arm

In order to find a feasible way to control excavator’s arm and realize autonomous excavation, the dynamic model for the boom of excavator’s arm which was regarded as a planar manipulator with three degrees of freedom was constructed with Lagrange equation. The excavator was retrofitted with electrohydraulic proportional valves, associated sensors (three inclinometers) and a computer control system (the motion controller of EPEC). The full nonlinear mathematic model of electrohydraulic proportional system was achieved. A discontinuous projection based on an adaptive robust controller to approximate the nonlinear gain coefficient of the valve was presented to deal with the nonlinearity of the whole system, the error was dealt with by robust feedback and an adaptive robust controller was designed. The experiment results of the boom motion control show that, using the controller, good performance for tracking can be achieved, and the peak tracking error of boom angles is less than 4°.

Improved control of intelligent excavator using proportional-integral-plus gain scheduling

Consider the design and implementation of an electro-hydraulic control system for a robotic excavator, namely the Lancaster University computerized and intelligent excavator (LUCIE). The excavator was developed to autonomously dig trenches without human intervention. One stumbling block is the achievement of adequate, accurate, quick and smooth movement under automatic control, which is difficult for traditional control algorithm, e.g. PI/PID. A gain scheduling design, based on the true digital proportional-integral-plus (PIP) control methodology, was utilized to regulate the nonlinear joint dynamics. Simulation and initial field tests both demonstrated the feasibility and robustness of proposed technique to the uncertainties of parameters, time delay and load disturbances, with the excavator arm directed along specified trajectories in a smooth, fast and accurate manner. The tracking error magnitudes for oblique straight line and horizontal straight line are less than 20 mm and 50 mm, respectively, while the velocity reaches 9 m/min.

Numerical Modeling of Giant Badu Landslide Reactivated by Excavation in China

In southwest of China, landslide reactivation caused by excavation has caused huge property and human losses, and posed severely threaten to the construction and operation of the man-made linear structures. A reactivated landslide is a complex process. The engineering practices have shown that a correct understanding of the reactivated mechanism of an ancient giant landslide is significant for the landslide mitigation. In this paper, a case study of the ancient Badu landslide that underwent multiple reactivations during the construction of Nanning-Kunming railway was discussed. The landslide characteristics are described and the reactivated features and progressive failure of the landslide are revealed. The reactivated mechanism of the landslide is analyzed by use of geological process analysis method and is simulated using the 3D FEM （finite element method）. At last, the reactivated mechanism mode of Badu giant landslide is put forward, namely ＂creeping-tensile cracking-shear breaking with zoning and grading features＂. The understanding of this kind of reactivated mechanism had helped engineers to take efficient and economic mitigation measures to stabilize the landslide.

Interval Type-2 fuzzy position control of electro-hydraulic actuated robotic excavator

This paper deals with fuzzy intelligent position control of electro-hydraulic activated robotic excavator for the control of boom, arm and bucket axes. Intelligent control systems are required to overcome unde- sirable stick-slip motion, limit cycles and oscillations. Models of electro-hydraulic servo controlled front end loader excavators are highly nonlinear. The nonlinear model accounts for fluid flow rate of valve, pump hydraulics, and friction forces. The friction forces are modelled by Coulomb, viscous and Stribeck function. Interval Type-2 Fuzzy Logic Controller （IT2FLC） is used to study the time-domain position responses of axes in the presence of external applied load. It has the ability to control the position of each of the three axes with minimum actuator position errors. Models presented are accurate and study the dynamics of the actuator and load. To improve the transient behaviour of the robotic excavator, we elim- inated iitter of the bucket movement in the presence of nonlinearities.

Analysis of drug use law and mechanism of prostate cancer based on data mining and network pharmacology

Objective: Excavate the medication rule of traditional Chinese medicine in the treatment of prostate cancer, and predicting the biomolecular level mechanism of high-frequency drug compatibility. Methods: Relevant documents in CNKI, Wanfang Medical Network and VIP Chinese Biomedical Periodical Database Pubmed, EMbase were collected and collated systematically. Frequency statistics, association rule analysis and new party mining were carried out using TCMISSV2.5. BATMAN-TCM was used to analyze the interaction relationship and related pathways between high-frequency drug targets. Results: Huangqi (Astragalus membranaceus) was the single drug most used of the 102prescriptions included in the standard. There are 6 pairs of combinations with high confidence in association rule analysis. System entropy cluster analysis resulted in 20 core drug combinations and 9 new prescriptions. Through KEGG pathway analysis of Huangqi, Fuling (Poria cocos), Gancao (Glycyrrhiza uralensis) and Dihuang (Rehmannia glutinosa), it was found that the number of potential targets of the neural active ligand receptor rented pathway and purine metabolism pathway was the largest. Conclusions: Prostate cancer is mainly treated with deficiency-tonifying drugs, which are combined with drugs for promoting blood circulation, removing blood stasis, clearing heat, promoting diuresis, detoxifying and resolving hard mass. The mechanism of action of high-frequency traditional Chinese medicine may be realized by interfering with the neuroactive ligand receptor interaction pathway and purine metabolism pathway.

Specific Power Consumption as Factor Disintegration Process Control of Digging-Wheel Excavators

The determination of digging resistance is of decisive importance when evaluating the mining process of digging-wheel excavators. Methodic of measuring and determinant relations （formulae） are different in various countries and by the comparison of them, underlying data for complex and objective evaluation using the knowledge from the field of rock disintegration can be obtained. In virtue of analysis of many measurements in situ, rather high specific power consumption with a wheel of excavator has been proved. What was the criterion for evaluation was the power consumption related to the volume of a rock disintegrated per unit time. From theoretical analyses, possibilities of eliminating a negative influence of the human factor upon the mining process and thus possibilities of optimum utilizing the power input of a wheel drive follow.

声誉模式抑或信息模式:中国证券分析师如何影响市场?

证券分析师能否通过挖掘基本面信息减少市场信息非对称性,以"研究创造价值"引导市场理性投资,成为当前中国资本市场关注的重点问题。本文以构建券商研究报告信息量化指标为基础,从证券分析师声誉和挖掘基本面信息出发,探索了中国证券分析师影响市场的路径和机制。研究发现:(1)控制声誉因素的影响,分析师能通过信息模式直接影响市场;剥离基本面信息,新财富分析师通过声誉模式产生了更大的市场反应;(2)对于影响两种模式的市场环境,信息不对称增强了声誉模式和信息模式的作用;基金持股增强了信息模式而未提高声誉模式的作用;(3)基于一致预期组合分组检验,声誉模式通过卖空组合而非买入组合产生了价值;而信息模式通过买入组合和卖空组合均能创造价值。

Retrospective study on Professor Zhongying Zhou's experience in Traditional Chinese Medicine treatment on diabetic nephropathy

OBJECTIVE:To study and analyze the etiology and pathogenesis,diagnosis and prescription for cases of diabetic nephropathy(DN) treated by Professor Zhongying Zhou(Prof.Zhou) with the help of dada mining technique,so as to inherit his clinical experience and academic thoughts.METHODS:After pretreatment of the medical record information,statistical software SPSS 13.0 was used to analyze and process the standardized data using the descriptive analysis,cluster analysis and association rules.RESULTS:Ninety-four entries derived from Traditional Chinese Medicine(TCM) four-diagnostic information were selected.Through data mining,the highest frequency was yellow-thin-greasy tongue coating,followed by dark tongue,and then by thready-slippery pulse.The main self-conscious symptoms were limb numbness,dry mouth,frequent micturition,etc.With respect to pathogenesis,the etiology related to kidney reached 73.46%.The frequency of pathological factors for deficiency,blood stasis,heat,dampness,phlegm and dryness were 137.65%,80.25%,78.40%,48.77%,21.60%,and 14.20% respectively.A total of 236 kinds of herbs were used 2913 person times,averaging 17.98 herbs per prescription.CONCLUSION:The pathological location of DN is in the kidney.The pathogenesis of the disease is deficiency in origin and excess in superficiality,the former of which include deficiency of the liver and kidney,and deficiency of both Qi and Yin.The main pathological factors are blood stasis,heat,dampness,phlegm,and dryness;and they act upon each other to form the complex pathogenesis in terms of blood stasis-heat,dampness-heat,phlegm-heat,and dryness-heat.All the above factors are always crucial in the aggravation of DN throughout the whole course of its pathological evolution.