IT时代的第三种文化产业机遇

人类社会一直存在着并行不悖的科技与人文的两种文化与文化产业。如今,出现了第三种文化与第三种文化产业。第三种文化产业的思想基础是图灵的可计算原理;其物质基础是微处理器智力内核。第三种文化产业将打破两种文化产业界线,用人工智能与智能化工具等现代科技手段,实现人文文化领域中的艺术创作,这是人类文化领域中已经开始的没有硝烟的产业战争。     

直流电机的角位移伺服控制系统研究

本文介绍一种以STM32微控制器作为控制核心的直流电机角位移伺服控制系统。系统以光电编码器为角位移传感器,还具有基于PWM和H桥的电机驱动电路,并通过数字PID控制策略,实现基于直流电机的角位移控制。实际测试表明,系统具有控制精确、稳定性好和结构简单等特点。     

海量数据处理器MPC860T的DSP阵列设计

现代通信的数据量日益增加,数据处理的复杂度也日益加强,如何有效处理这些海量数据,是目前研究的难点,基于DSP阵列的数据处理系统是解决这些问题的有效方法。本文选用TI公司的TMS320C6713浮点型数字信号处理器以及Freescale公司的MPC860T通用通信处理器,设计了16颗浮点型DSP阵列来完成海量数据实时处理。详细介绍了该系统的DSP阵列的管理,包括复位、HPI数据管理通道设计。通过测试和实际应用验证,该系统不仅满足性能上的要求,还是一个通用的数据采集和处理平台。     

Modeling and multiobjective optimization of traction performance for autonomous wheeled mobile robot in rough terrain

Application of terrain-vehicle mechanics for determination and prediction of mobility performance of autonomous wheeled mobile robot(AWMR) in rough terrain is a new research area currently receiving much attention for both terrestrial and planetary missions due to its significant role in design,evaluation,optimization,and motion control of AWMRs.In this paper,decoupled closed form terramechanics considering important wheel-terrain parameters is applied to model and predict traction.Numerical analysis of traction performance in terms of drawbar pull,tractive efficiency,and driving torque is carried out for wheels of different radii,widths,and lug heights,under different wheel slips.Effects of normal forces on wheels are analyzed.Results presented in figures are discussed and used to draw some conclusions.Furthermore,a multiobjective optimization(MOO) method for achieving optimal mobility is presented.The MOO problem is formulated based on five independent variables including wheel radius r,width b,lug height h,wheel slip s,and wheel rotation angle θ with three objectives to maximize drawbar pull and tractive efficiency while minimizing the dynamic traction ratio.Genetic algorithm in MATLAB is used to obtain optimized wheel design and traction control parameters such as drawbar pull,tractive efficiency,and dynamic traction ratio required for good mobility performance.Comparison of MOO results with experimental results shows a good agreement.A method to apply the MOO results for online traction and mobility prediction and control is discussed.     

Measuring the spreadability of users in microblogs

Message forwarding (e.g.,retweeting on Twitter.com) is one of the most popular functions in many existing microblogs,and a large number of users participate in the propagation of information,for any given messages.While this large number can generate notable diversity and not all users have the same ability to diffuse the messages,this also makes it challenging to find the true users with higher spreadability,those generally rated as interesting and authoritative to diffuse the messages.In this paper,a novel method called SpreadRank is proposed to measure the spreadability of users in microblogs,considering both the time interval of retweets and the location of users in information cascades.Experiments were conducted on a real dataset from Twitter containing about 0.26 million users and 10 million tweets,and the results showed that our method is consistently better than the PageRank method with the network of retweets and the method of retweetNum which measures the spreadability according to the number of retweets.Moreover,we find that a user with more tweets or followers does not always have stronger spreadability in microblogs.     

Development of the heat treatment system for the 40 T hybrid magnet superconducting outsert

The heat treatment of Nb(3)Sn coil with the glass fabric insulation is one of the key and critical processes for the outsert solenoids of the 40 T hybrid magnet, which could be wound with cable-in-conduit conductors using the insulation-wind-and-react technique. The manufacturing of the large vertical type vacuum/Ar atmosphere-protection heat treatment system has been completed and recently installed in the High Magnetic Filed Laboratory, Chinese Academy of Sciences. The heat treatment system composed mainly the furnace, the purging gas supply system, the control system, the gas impurities monitoring system, and so on. At present, the regulation and testing of the heat treatment system has been successfully finished, and all of technical parameters meet or exceed specifications.     

Dynamic isotropic design of a class of Gough-Stewart parallel manipulators lying on a circular hyperboloid of one sheet

This paper proposes an optimal design method based on dynamic isotropy conditions of a generalized natural frequency matrix in task space for a standard Gough-Stewart parallel manipulator (GSPM). Firstly, the dynamic isotropy conditions are discussed and presented. Next, it is proved that standard GSPMs lie on a circular hyperboloid of one sheet. Further, we present a method to use a circular hyperboloid to construct 3-3-, 6-3- and 6-6-type standard GSPMs. Moreover, such novel definition is used to examine various dynamic isotropy conditions as functions of the coefficients of a hyperboloid. An optimal design method is also proposed accordingly. Finally, a numerical example is given to illustrate the design procedures. The results are very close to the complete dynamic isotropy.     

计算机实验教学改革初探

本文分析了计算机实验教学现状,并提出了若干计算机实验教学改革的建议,以期提高计算机实验教学的质量,全面提高学生的计算机应用能力.     

MongoDB数据库在网络行为分析与控制系统中的应用

在网络行为分析与控制系统中,传统的关系数据库在异构数据、海量日志的管理上难以胜任。NoSQL非关系型数据库的出现,对于解决面向文档的超大规模和高并发的问题提供了卓有成效的方案。本文在研究非关系数据库的基础上,着重分析MongoDB的特点和优势,通过性能测试,提出将MongoDB数据库应用于网络行为分析与控制系统,有效提高了大规模日志数据在网络行为分析与控制系统中的存储效率。     

Adaptive detection of range-spread targets without secondary data in multichannel autoregressive process

Adaptive detection of range-spread targets without secondary data is addressed in a multichannel autoregressive Gaussian disturbance with unknown space–time covariance matrix, by utilizing the Rao test. The proposed Rao test without secondary data is theoretically proved to be asymptotically (large-sample in the number of temporal observations) constant false alarm rate with respect to unknown space–time covariance matrix, thanks to an asymptotic equivalence between the Rao test and the generalized likelihood ratio test. Moreover, the performance loss due to no secondary data can be remedied by appropriately increasing the temporal dimension. The performance assessment conducted by Monte Carlo simulation, also in comparison with the existing detector without secondary data, confirms the effectiveness of the proposed detectors.