Atmospheric CO2 retrieval with a look-up-table based method by combining near and thermal infrared spectra

In order to precisely retrieve the atmospheric CO2 , a retrieval method based on both near infrared （NIR） and thermal infrared （TIR） is established firstly. Then a look-up-table （LUT） based fast line-by-line radiative transfer model （RTM） was integrated into the retrieval procedure to accelerate radiative transfer calculations. The LUT stores gas absorption cross-sections as a function of temperature, pressure and wavenumber. It could greatly reduce calculating time in radiative transfer compared to direct line-by-line method. Then retrieval was simulated using NIR, TIR and both bands. The retrieved CO2 profiles suggest joint approach could reconstruct CO2 profile better than those using NIR or TIR alone. Joint retrieval using both bands simultaneously could provide better constrain to CO2 vertical distribution in the whole troposphere.     

高压同步电动机的变频控制

分析了高压变频器的工作原理与泵类负载的节能原理,介绍了国产HARSVERT高压变频调速系统在包钢供水泵站的应用情况及效果,着重阐述了高压同步电动机变频调速装置在包钢供水泵站中的应用.     

Composite iterative learning controller design for gradually varying references with applications in an AFM system简

Learning control for gradually varying references in iteration domain was considered in this research, and a composite iterative learning control strategy was proposed to enable a plant to track unknown iteration-dependent trajectories. Specifically, by decoupling the current reference into the desired trajectory of the last trial and a disturbance signal with small magnitude, the learning and feedback parts were designed respectively to ensure fine tracking performance. After some theoretical analysis, the judging condition on whether the composite iterative learning control approach achieves better control results than pure feedback contro! was obtained for varying references. The convergence property of the closed-loop system was rigorously studied and the saturation problem was also addressed in the controller. The designed composite iterative learning control strategy is successfully employed in an atomic force microscope system, with both simulation and experimental results clearly demonstrating its superior performance.     

Surface resistivity of carbonaceous fiber/PTFE antistatic coatings

Abstract： PAN （Polyacrylonitrile）-based carbonaceous fibers were prepared at the heat treatment temperature （HTT） range of 650 to 900 ℃. The relationships among HTT, carbon content and volume resistivity of the carbonaceous fibers were investigated. The carbonaceous fibers/PTFE （Polytetrafluoroethylene） antistatic coatings were prepared by the spraying technology and the effects of carbonaceous fibers and pigments on surface resistivity of the coatings were systematically discussed. Micrographs provide insight into the antistatic mechanism of the coating. The results show that carbon content of the carbonaceous fibers increases from 68.8% to 74.8% （mass fraction） and the volume resistivity decreases drastically from 1.94× 10^-3 to 8.27× 10 ^-2.cm. The surface resistivity of the antistatic coating is adjustable between 10^5 and 10^8Ω2 to fit the different antistatic materials. Static is dissipated by a conductive network of short fibers and the tunneling effect between the neighboring fibers and conductive pigments. Conductive pigments make the conductive network more perfect and improve the antistatic ability, but insulating pigments acting as barriers for the formation of conductive channel increases the surface resistivity of the coatings. The influence of pigments on the surface resistivity drops gradually with the decrease of the carbonaceous fibers volume resistivity.     

An optimal method for prediction and adjustment on gasholder level and self-provided power plant gas supply in steel works

An optimal method for prediction and adjustment on byproduct gasholder level and self-provided power plant gas supply was proposed.This work raises the HP-ENN-LSSVM model based on the Hodrick-Prescott filter,Elman neural network and least squares support vector machines.Then,according to the prediction,the optimal adjustment process came up by a novel reasoning method to sustain the gasholder within safety zone and the self-provided power plant boilers in economic operation,and prevent unfavorable byproduct gas emission and equipment trip as well.The experiments using the practical production data show that the proposed method achieves high accurate predictions and the optimal byproduct gas distribution,which provides a remarkable guidance for reasonable scheduling of byproduct gas.     

云环境下基于用户需求的信息资源共享模式

通过文献分析和问卷调查等研究方法,对不同类型用户需求进行分析研究,提出了云环境下信息资源共享模式是满足用户信息需求的最佳途径的观点。在对云计算核心技术和平台架构进行探讨的基础上,详细论述了云计算环境下信息资源共享的优势,如云计算延伸了信息资源共享模式,扩大了用户服务范围,变革了用户服务方式,弥补了资源建设经费不足的难题,使信息资源共享的长效机制得以形成。     

基于威胁的信息系统安全技术选择策略研究

利用博弈论研究了基于信息系统安全威胁类型的安全技术选择与资源优化配置问题,同时考虑了具体威胁类型、信息系统安全技术特征、成本与组合效率等因素,指出了组织在信息系统安全管理时所选择的安全技术首先应当能够处理或弱化其所面临的大部分威胁,即以威胁为安全技术选择的基础,并且组织为了实现对有限资源的优化配置,应根据各种威胁导致的期望损失来确定相应的安全技术选择概率。模型将安全技术对不同威胁的检测率与误检率加以区分,较一种安全技术对所有威胁只有一个笼统的检测率和误检率更具实际意义。     

我党五位领导人人才观的共性之比较

人才是关系党和国家前途命运的关键,人才观则关系到人才选拔和培养工作兴衰之大局,在长期的革命与建设实践中,我党五位领导人形成了既一脉相承又与时俱进的人才观思想体系。而研究其共性,有着重要的理论和实践价值。     

基于完备序列集的扩频码构造方法

为了改善传统扩频序列周期短、复杂度低的问题,提出一种基于完备序列集的扩频码构造方法。利用移位算法将二进制理想的二元自相关序列转换为长周期、高复杂度的完备序列集,随机地按行或列抽取完备序列集中的子序列,以其作为扩频码并用于扩频通信。利用传统伪随机序列和Logistic混沌序列分析该方法的有效性,并与现有方法相比得知,新方法可改善序列相关性,提高序列复杂度。仿真测试结果显示,完备序列具有较强的抗噪声干扰能力,并能获得较低的扩频误码率。     

发展型社会政策:农民工社会救助模式探讨

改革开放以来,越来越多的农民工在其就业的城市长期生活。尽管并非城市中最为贫困的阶层,但是农民工在现有社会救助体系下面临极大的风险,存在贫困代际传递的隐患,进而影响社会稳定。本文从发展型社会政策的理论视野出发,分析80年代以来农民工社会救助模式的发展过程,探讨现有社会救助模式在其社会融合过程中面临的挑战,提出构建发展型社会救助模式的设想,以便促进和谐社会建设目标的实现。