INFLUENCE OF NON-PROCESS ELEMENTS ON REED PULP''''S CHARACTERS DURING OXYGEN DELIGNIFICATION

INTRODUCTIONOxygen delignification is widely used in many bleached pulp-grade operation to diminish the levels of residual lignin in kraft[1]. The chemistry of oxygen delignification has undergone a renaissance in the last decade.Although the chemical structure and reactivity of residual lignin play a role in its effective removal, a variety of metal ions, frequently refers to as non-process elements(NPEs), they are either originated in pulp or introduced are also suggested to strongly a…     

Some Problems of Rails For High-speed Railway of China

Acciording to running experience of high-speed railway abroad,a full attention must be paid to some requirements of specifica-tion of rails for high-speed railway,such as materil mechanical properties,rimension tolernces,straightness,surface flatness and so on.It is suggested that the long-length rails should be laid in high-speed railway,and the feasibility of producing,welding and transporting of long-length rails should be researched.On the basis of technical innovation of domestic manufacturers,it is practicable to lay 50-100mlong-length rails should be researched.On the basis of producing,welding and transporting of long-length homemade rails in high-speed railway of China.The following welding programme of rails for hiah-speed railway can be adiop-ted:50-100m long-lenath rails can be welded as 500m long rail string through flash butt welding in plant,then in field the reid string can be welded through a mobile flash butt welding or thermit welding.As the specification of rails or high-seed railway is rigorous.some related techniques to long-length rails should be researched and practised as soon as possible,including mobile flash butt welding tech-nique,transporting and reinforcing techniques of lon-length rails,etc…     

The Intelligent Decision Support System Model of SARS

Based on the intelligent decision support system, a new method was presented to defense the catastrophic infectious disease such as SARS, Bird Flu, etc.. By using All Set theory, the decision support system (DSS) model can be built to analyze the noise information and forecast the trend of the catastrophe then to give the method or policy to defend the disease. The model system is composed of four subsystems: the noise analysis subsystem, forecast and simulation subsystem, diagnosis subsystem and second recovery subsystem. They are discussed briefly in this paper. This model can be used not only for SARS but also for other paroxysmal accidences.     

基于GPS/GIS/GSM车辆动态定位导航系统

简要介绍了全球卫星定位系统(GPS)、地理信息系统(GIS)、移动通信系统(GSM)及其它们在车辆定位与导航系统(VLNS)中的主要作用;研究该系统的组成以及所能实现的功能;分析GPS辅助定位的技术方法和地理信息系统的数据更新.     

Adaptive Event-Based Consensus of Multi-Agent Systems with General Linear Dynamics

In this paper, adaptive event-based consensus of multi-agent systems with general linear dynamics is considered. A novel adaptive event-based controller and a state-dependent triggering function are proposed for each agent. The consensus can be achieved without the assumption that (A,B) is stabilizable. Furthermore, the Zeno-behavior of the concerned closed-loop system is also excluded under certain conditions. Finally, a numerical simulation example is presented to show the effectiveness of the theoretical results.     

Sequential Fair Stackelberg Equilibria of Linear Strategies in Risk-Seeking Insider Trading

This paper develops a sequential fair Stackelberg auction model in which each of the two risk-seeking insiders has an equal chance to be a leader or follower at each auction stage. The authors establish the existence, uniqueness of sequential fair Stackelberg equilibria (in short, FSE) when both insiders adopt linear strategies, and find that at the sequential equilibria such two insiders compete aggressively that cause the liquidity of market to drop, the information to be revealed and the profit to go down very rapidly while the trading intensity goes substantially high. Furthermore, the authors also give continuous versions of corresponding parameters in the sequential FSE in closed forms, as the time interval between auctions approaches to zero. It shows that such parameters go down or up approximately exponentially and all of the liquidity of market, information and profit become zero while the trading intensity goes to infinity. Some numerical simulations about the sequential FSE are also illustrated.     

Control and Stabilization of the Rosenau Equation Posed on a Periodic Domain

This paper considers the Rosenau equation with a moving control?t u + ?_t?_x~4 u + ?_xu + u?x u = a(x + ct)h(x, t), c = 0, x ∈ T = R/(2πZ), t 0.The authors prove that the Rosenau equation with a moving control is locally exact controllable in Hs(T) with s ≥ 0 and globally exponential stable in H~s(T) with s ≥ 2. The two results nontrivially extend the work of(Rosier L and Zhang B Y, 2013) from the BBM equation to the Rosenau equation.     

基于三维激光技术的路面坑槽多维度指标检测

为实现沥青路面坑槽深度、面积和体积等多维度指标的自动、准确检测,利用三维激光技术对室内坑槽模型进行扫描,基于Matlab软件对激光点云数据采用不规则三角网(TIN)平面插值法重构了坑槽三维模型,进而结合等高线提取确定了坑槽边界,实现了坑槽多维度指标自动计算;对比了不同坑槽多维度指标计算误差,研究了激光线纵向间距对计算误差影响规律.研究结果表明:坑槽深度、面积和体积指标的最大相对误差分别为3.96%、4.58%和4.74%;当激光线纵向间距从1mm逐渐增大至20mm时,坑槽多维度指标计算相对误差逐渐增加;当间距为5mm时,坑槽深度、面积和体积指标的最大相对误差分别为4.65%、6.32%和7.17%;当间距大于5mm后,坑槽三维重构模型逐渐失真并出现了部分缺失,从而导致多维度指标检测误差的增大;因此,为保证坑槽多维度指标检测准确度建议激光线纵向间距应不大于5mm;坑槽多维度指标准确获取将为路面破损层位判定、严重程度评价和修补材料估算提供依据.     

A framework for personalized adaptive user interest prediction based on topic model and forgetting mechanism

User interest is not static and changes dynamically. In the scenario of a search engine, this paper presents a personalized adaptive user interest prediction framework. It represents user interest as a topic distribution, captures every change of user interest in the history, and uses the changes to predict future individual user interest dynamically. More specifically, it first uses a personalized user interest representation model to infer user interest from queries in the user’s history data using a topic model; then it presents a personalized user interest prediction model to capture the dynamic changes of user interest and to predict future user interest by leveraging the query submission time in the history data. Compared with the Interest Degree Multi-Stage Quantization Model, experiment results on an AOL Search Query Log query log show that our framework is more stable and effective in user interest prediction.     

Generation of Linear and Parabolic Concentration Gradients by Using a Christmas Tree-Shaped Microfluidic Network

This paper describes a simple method of generating concentration gradients with linear and parabolic profiles by using a Christmas tree-shaped microfluidic network.The microfluidic gradient generator consists of two parts:a Christmas tree-shaped network for gradient generation and a broad microchannel for detection.A two-dimensional model was built to analyze the flow field and the mass transfer in the microfluidic network.The simulating results show that a series of linear and parabolic gradient profiles were generated via adjusting relative flow rate ratios of the two source solutions(R_L~2≥0.995 and _PR~2≥0.999),which could match well with the experimental results(R_L~2≥0.987 and _PR~2≥0.996).The proposed method is promising for the generation of linear and parabolic concentration gradient profiles,with the potential in chemical and biological applications such as combinatorial chemistry synthesis,stem cell differentiation or cytotoxicity assays.