论文化工具的选用

文化之物作为满足人的需求的工具,有同类异种的存在意味,我们需要面对文化工具的选用问题。文化工具的选用是一种对象性活动,由文化选用者、选用对象、选用目的、选用手段、选用过程和选用结果这六个要素构成。文化选用者有个人、社会组织和社会之分,三者所涉及的文化工具的选用范围各不相同。文化选用属于价值选择,学界以往鲜有关于这个问题的研究,但现实中的实有文化工具选用方式一直存在,共有习俗型、情感型、直觉型和理性型四种选用方式。四种方式各有长短,一般情况下,常用前三种文化工具选用方式,但在特殊情况下,必须用理性选用法。以往学界存在的似乎可用于文化工具选用的理性方法各有缺陷,且都缺乏普遍适用性。具有普遍适用性的理性选用方法是“唯好是用法”。先用使用效果的“有害性标准”剔除同类异种文化工具中的坏文化工具,再用使用效果的质量标准,从留下的好文化工具中,选出最好用的文化工具。

发动机橡胶减震器的制造及选用效果分析

通过对减震器的原理及作用进行阐述,确定橡胶减震器设计要点和制造流程,进而对发动机橡胶减震器的种类及选用进行分析。认为对橡胶减震器进行科学设计是基础,精细制造是前提,合理选择与布局是关键,精准使用是根本,这样才能使发动机橡胶减震器取得理想的减震、降噪的使用效果。

难筛分煤炭设备的调查与选用

在大量调查的基础上，介绍了８种较为有效新型筛分机，分析了这些设备的优缺点，给出了其适用范围。

Adsorption behavior of Pb^(2+) and Cd^(2+) ions on bauxite flotation tailings

The adsorption behavior of Pb2+ and Cd2+ ions on bauxite flotation tailings was investigated to demonstrate the adsorptivity of the bauxite flotation tailings.The adsorption percentage of Pb2+ and Cd2+ ions as a function of adsorbent dosage,solution pH value and shaking time were determined by batch experiments.The maximum adsorption percentage of 99.93% for Pb2+ ions and 99.75% for Cd2+ ions were obtained by using bauxite flotation tailings as adsorbent.The methods,such as zeta potentials,specific surface area measurements and the analysis of adsorption kinetics,were introduced to analyze the adsorption mechanisms of the Pb2+ ions on bauxite flotation tailings.The isoelectric point of bauxite flotation tailings shifts from 3.6 to 5.6 in the presence of Pb2+ ions.The specific surface area of bauxite flotation tailings changes from 12.57 to 20.63 m2/g after the adsorption of Pb2+ ions.These results indicate that a specific adsorption of the cation species happens on the surface of bauxite flotation tailings.Adsorption data of Pb2+ ions on the surface of bauxite flotation tailings can be well described by Langmuir model,and the pseudo-second-order kinetic model provides the best correlation for the adsorption data of Pb2+ and Cd2+ ions on bauxite flotation tailings.

Digital Rights Management：Model,Technology and Application

with rapid achievement of current information technology and computing ability and applications,much more digital content such as films,cartoons,design drawings,office documents and software source codes are produced in daily work,however to protect the content being copying,shared or deliberately stolen by inside or outside,digital rights management(DRM) became more and more important for digital content protection.In this paper,we studied various DRM model,technology and application,and first proposed DRM Security Infrastructure(DSI),in which we defined encryption,hash,signature algorithm,watermarking algorithms,authentication,usage control,trusted counter,conditional trace,secure payment,and based on the DSI we then proposed a whole classification approach and architecture of all kinds of DRMs,in which we proposed 6 typical classes of copyrights and content protection DRMs architecture:(1) Software-oriented DRM,(2) e Book-oriented DRM,(3) Video-oriented DRM,(4) Image-Oriented DRM(5) Unstructured data oriented DRM,(6) Text-oriented DRM.Based on the above DSI,we then proposed a dynamic DRM model selection method for various DRM application,which can be adapted dynamically for different technology of different applications,which can provide awhole solution for variant DRM development in a rapid and customized mode.The proposed DRM method,technology and application in this paper provided a common,flexible and extendable solution for variant DRM scenes,and can support rapid and customized development.Moreover,we proposed an opinion that the future life will enter into a new era that the content usage and consumption will not again adopt DRM technology rather than with law,liberty and morality.

An Improved Semi-Orthogonal User Selection Algorithm Based on Condition Number for Multiuser MIMO Systems

In Multiple-Input Multiple-Out （MIMO） systems, the user selection algorithm plays an important role in the realization of multiplexing gain. In this paper, an improved Semi-orthogonal User Selection algorithm based on condition number is proposed. Besides, a new MIMO pre- coding scheme is designed. The proposed SUS- CN （SUS with condition number） algorithm outperforms the SUS algorithm for the selection of users with better matrix inversion property, thus a higher information rate for selected user pair is achieved. The designed MIMO precoding matrix brings benefits of the power equality at transmitted terminals, the limited dynamic range of the power over time, and a better power efficiency. The simulation results give the key insights into the im- pact of the different condition number value and users on the sum-rate capacity.

Parameter selection of pocket extraction algorithm using interaction interface

Pockets in proteins have been known to be very important for the life process. There have been several studies in the past to automatically extract the pockets from the structure information of known proteins. However, it is difficult to find a study comparing the precision of the extracted pockets from known pockets on the protein. In this paper, we propose an algorithm for extracting pockets from structure data of proteins and analyze the quality of the algorithm by comparing the extracted pockets with some known pockets. These results in this paper can be used to set the parameter values of the pocket extraction algorithm for getting better results.

Application and comparison of RNN, RBFNN and MNLR approaches on prediction of flotation column performance

Evaluation of grade and recovery plays an important role in process control and plant profitability in mineral processing operations, especially flotation. The accurate measurement or estimation of these two parameters, based on the secondary variables, is a critical issue. Data-driven modeling techniques, which entail comprehensive data analysis and implementation of machine learning methods for system forecast, provide an attractive alternative. In this paper, two types of artificial neural networks(ANNs),namely radial basis function neural network(RBFNN) and layer recurrent neural network(RNN), and also a multivariate nonlinear regression(MNLR) model were employed to predict metallurgical performance of the flotation column. The training capacity and the accuracy of these three above mentioned types of models were compared. In order to acquire data for the simulation, a case study was conducted at Sarcheshmeh copper complex pilot plant. Based on the root mean squared error and correlation coefficient values, at training and testing stages, the RNN forecasted the metallurgical performance of the flotation column better than RBF and MNLR models. The RNN could predict Cu grade and recovery with correlation coefficients of 0.92 and 0.9, respectively in testing process.

Hospital System Vulnerability to a Moderate Earthquake

This research aims at proposing to the technical manager of a hospital, a method for assessing the vulnerability of the hospital system in the case of a moderate earthquake. A primary case study on a hospital centre has allowed us to define the methodological basis. Also, it concludes to the need for a systematic method due to the complexity of hospital system and the specific knowledge. This ＂screening method＂ exits but it is applicable to the context of a major earthquake, where the main objective is to save life, while ours is to guarantee the continuity of hospital services. Other aims are to adapt this method in order to introduce the concept of a moderate earthquake, to take into account the environmental interactions of the hospital system and to improve the knowledge base. Subsequently, a software tool has to be developed to facilitate the implementation for the technical manager.

Synthesis of N,N-diethyl dodecyl amine and its flotation properties on bauxite

N, N-diethyl dodecyl amine（DEN12） was synthesized from dodecyl amine, formic acid and acetic aldehyde. The collecting property of DENI2 on diaspore, kaolinite and illite was investigated by flotation test and infrared spectrum. The results show that in the presence of 2.0× 10^-4 mol/L DEN12, the recoveries of kaolinite and illite are all higher than 78% and the recovery of diaspore is 50% in the pH range of 5.5-6.0. The mass ratio of A1203 to SiO2 in concentrate obtained from separation artificial mixture is higher than 10, suggesting that DEN12 can be used as a collector to separate the aluminosilicates from diaspore in bauxite ores at the pulp pH below 8. The measurements of the infrared spectrum approve that the action between aluminosilicates and tertiary amine collector is strong electrostatic adsorption and that of diaspore is weak electrostatic adsorption.

Cultural Binary Particle Swarm Optimization Algorithm and Its Application in Fault Diagnosis

Binary particle swarm optimization algorithm(BPSOA) has the excellent characters such as easy to implement and few set parameters.But it is tendentious to stick in the local optimal solutions and has slow convergence rate when the problem is complex.Cultural algorithm(CA) can exploit knowledge extracted during the search to improve the performance of an evolutionary algorithm and show higher intelligence in treating complicated problems.So it is proposed that integrating binary particle swarm algorithm into cultural algorithm frame to develop a more efficient cultural binary particle swarm algorithm (CBPSOA) for fault feature selection.In CBPSOA,BPSOA is used as the population space of CA;the evolution of belief space adopts crossover,mutation and selection operations;the designs of acceptance function and influence function are improved according to the evolution character of BPSOA.The tests of optimizing functions show the proposed algorithm is valid and effective.Finally,CBPSOA is applied for fault feature selection.The simulations on Tennessee Eastman process (TEP) show the CBPSOA can perform better and more quickly converge than initial BPSOA.And with fault feature selection,more satisfied performance of fault diagnosis is obtained.

Optimization model of unascertained measurement for underground mining method selection and its application

An optimization model of underground mining method selection was established on the basis of the unascertained measurement theory.Considering the geologic conditions,technology,economy and safety production,ten main factors influencing the selection of mining method were taken into account,and the comprehensive evaluation index system of mining method selection was constructed.The unascertained evaluation indices corresponding to the selected factors for the actual situation were solved both qualitatively and quantitatively.New measurement standards were constructed.Then,the unascertained measurement function of each evaluation index was established.The index weights of the factors were calculated by entropy theory,and credible degree recognition criteria were established according to the unascertained measurement theory.The results of mining method evaluation were obtained using the credible degree criteria,thus the best underground mining method was determined.Furthermore,this model was employed for the comprehensive evaluation and selection of the chosen standard mining methods in Xinli Gold Mine in Sanshandao of China.The results show that the relative superiority degrees of mining methods can be calculated using the unascertained measurement optimization model,so the optimal method can be easily determined.Meanwhile,the proposed method can take into account large amount of uncertain information in mining method selection,which can provide an effective way for selecting the optimal underground mining method.

Multiple Recursive Generator-Based Method for Peak-to-Average Power Ratio Reduction in Selected Mapping Without Side Information

Orthogonal Frequency Division Multiplexing(OFDM)has been used for many wireless communication systems.However,the main drawback of this method is the high Peak-to-Average Power Ratio(PAPR).Selected Mapping(SLM)is a technique used for solving the high PAPR problem in OFDM systems.In SLM,the original data sequence is multiplied by a set of predetermined phase sequences and multiple signals with different PAPRs are generated.Then,the one with the lowest PAPR is selected for transmission.The SLM method requires sending of some bits as Side Information(SI)for each data block,which is of critical importance to the receiver for decoding.The SI bits cause a decrease in the bandwidth efficiency;furthermore,incorrect SI detection leads to the loss of an entire data block.In this paper,we exhibit a new SLM technique by using a Multiple Recursive Generator(MRG),a method of generating pseudo random sequences,to send data without explicit SI bits.We show that the proposed technique performs very well in terms of the Bit Error Rate(BER),Probability of detection failure(Pdf)and PAPR reduction.

STUDY AND APPLICATION OF COMPOSITE PULSE JIGGING THEORY IN CHINA

This paper introduced the recent study and application of composite pulse jigging theory in China. The paper has shown many features of the composite pulse jigging cycle with the experiment data from the site jigs.

如何正确选用听力防护用品

前几期中我们向您介绍了有关呼吸系统防护用品的知识，本期中我们将向您介绍个体防护用品的另一大类：听力保护用品的有关知识。当我们暴露于噪声中时，就要对听力进行保护。什么是噪声呢？应当说一切惹人讨厌，令人烦噪，人们不愿意听的声音都是噪声。噪声是声音的一种，...