On-Line Monitoring of Grinding Status Based on Rough Set Theory

This paper focuses on the new approach of on line monitoring of grinding burn and wheel wear based on the rough set theory. This method adopts the grinding chip flow thermal signal, and acquires identification rules by establishing sensitive characteristic parameters and constructing the knowledge system through continuum attribute discretization, attribute reduction and knowledge acquisition, and then monitors grinding burn and wheel wear in accordance with the acquired rules. The experiment results show that the new method is effective.

Application of Radial Basis Function Network in Sensor Failure Detection

Aim To detect sensor failure in control system using a single sensor signal. Methods A neural predictor was designed based on a radial basis function network(RBFN), and the neural predictor learned the sensor signal on line with a hybrid algorithm composed of n means clustering and Kalman filter and then gave the estimation of the sensor signal at the next step. If the difference between the estimation and the actural values of the sensor signal exceeded a threshold, the sensor could be declared to have a failure. The choice of the failure detection threshold depends on the noise variance and the possible prediction error of neural predictor. Results and Conclusion\ The computer simulation results show the proposed method can detect sensor failure correctly for a gyro in an automotive engine.

Neural Network for Prediction of Thermal Elastomer Quality

Aim To predict the indexes of quality of the thermal elastomer by polymerization process data. Methods Neural networks were used for learning the relationship between the product quality and the polymerization process condition variables in an industrial scale batch polymerization reactor. Results The indexes of quality of the product were inferred with acceptable accuracy from easy to measure reaction process condition variables. Conclusion The method proposed in this paper provides on line soft sensors of the indexes of quality of the thermal elastomal.

A Computationally Efficient Aggregation Optimization Strategy of Model Predictive Control

Model Predictive Control (MPC) is a popular technique and has been successfully used in various industrial applications. However, the big drawback of MPC involved in the formidable on line computational effort limits its applicability to relatively slow and/or small processes with a moderate number of inputs. This paper develops an aggregation optimization strategy for MPC that can improve the computational efficiency of MPC. For the regulation problem, an input decaying aggregation optimization algorithm is presented by aggregating all the original optimized variables on control horizon with the decaying sequence in respect of the current control action.

A numerical approach based on the meshless collocation method in elastodynamics

In this paper, a collocation technique with the modified equilibrium on line method （ELM） for imposition of Neumann （natural） boundary conditions is presented for solving the two-dimensional problems of linear elastic body vibrations. In the modified ELM, equilibrium over the lines on the natural boundary is satisfied as Neumann boundary condition equations. In other words, the natural boundary conditions are satisfied naturally by using the weak formulation. The performance of the modified version of the ELM is studied for collocation methods based on two different ways to construct meshless shape functions： moving least squares approximation and radial basis point interpolation. Numerical examples of two-dimensional free and forced vibration analyses show that by using the modified ELM, more stable and accurate results would be obtained in comparison with the direct collocation method.

Study and Application of a New On-Line Titration Technique

A new on line titration method and device based on a new technique continuous flow titration is described. By the means of electronically controlled switching of a solenoid valve, the main component of the system, the equivalent point of the titration is easily determined. Several kinds of mixing tools were examined, whereby a self made mixing chamber with minimum volume gave best results and was therefore used in the device. The error of the titration is within 0.2% and the relative standard deviation (RSD) is below 1.2%. The results show no difference compared with a commercial device, meanwhile the new on line titration system is cheaper and fully automated and thus easy to hand and less solvent consumption.

On-line measurement of electrical variables of the transducer during ultrasonic welding and cutting

A measurement system for high power electrical variables with ultrasonic frequency was established. It can measure the effective values of the voltage and the current, the active power, the phase difference of voltage and current, the frequency of the transducer during ultrasonic welding and cutting. In sampling circuits of the system, the measured current is sensed by using a no capacitance and no inductance precision resistor and is treated with a difference amplifier, the measured voltage is processed by using a proportional amplifier. For achieving good amplitude frequency characteristics and rapid measurement of high frequency signals, the resistors, capacitors and amplifiers used in the system are rationally selected. Calibrating experiments show that relative errors are less than 1% for voltage and current effective values and less than 2.5% for active power, and absolute errors are ±1 Hz for frequency and ±1.7° for phase difference of voltage and current in the range of 17～23 kHz .

Improved Genetic Algorithm and Its Performance Analysis

Although ge ne tic algorithm has become very famous with its global searching, parallel computi ng, better robustness, and not needing differential information during evolution .However, it also has some demerits, such as slow convergence speed. In this pap er, based on several general theorems, an improved genetic algorithm using varia nt chromosome length and probability of crossover and mutation is proposed, and its main idea is as follows:at the beginning of evolution, our solution with sho rter length chromosome and higher probability of crossover and mutation; and at the vicinity of global optimum, with longer length chromosome and lower probabil ity of crossover and mutation. Finally, testing with some critical functions sho ws that our solution can improve the convergence speed of genetic algorithm sign ificantly, its comprehensive performance is better than that of the genetic algo rithm which only reserves the best individual.

Boosting the Expense and Performance of Ann/Hmm Approch for on-line Handwriting Recognition

This paper focuses on a state sharing method for an artificial neural network (ANN) and hidden Markov model (HMM) hybrid on line handwriting recognition system. A modeling precision based distance measure is proposed to describe similarity between two ANNs, which are used as HMM state models. Limiting maximum system performance loss, a minimum quantification error aimed hierarchical clustering algorithm is designed to choose the most representative models. The system performance is improved by about 1.5% while saving 40% of the system expense. About 92% of the performance may also be maintained while reducing 70% of system parameters. The suggested method is quite useful for designing pen based interface for various handheld devices.

我武唯扬——《希望On Line》骑士&剑士上手指南

《希望Online》（以下简称《希望OL》）的职业系统与《仙境传说》非常相似，玩家以初心者的身份降临游戏世界，尔后可晋级为骑士，剑士，法师、祭祀，小丑、铁匠，其中，剑士和骑士是典型的物理攻击型角色，是冒险队伍中的中坚力量，下面，笔者就以自己在韩服的经验，为大家简单介绍一下剑士和骑士的上手之旅。

Research and application of an intelligent recloser controller installed on outdoor rod

A new type of intelligent recolser controller installed on the outdoor rod is developed, which is mainly composed of microcontroller of Intel 87C196KC 20 and CPLD devices. This controller integrates all the functions of measuring, controlling, protection, fault diagnosis, communication, remote controlled operation and self power devices with infra red remote control devices as a unit. The controller applies the distributed structure, field concentration line and intelligent technology to seal up the synthetic servomechanisms such as the microcomputer based protection and measuring devices in the second stage of the mini out door transformer substation, which are distributed on the outdoor circuit switches on the spot and formed as a whole. Therefore, this technology can transform a large number of ordinary homemade SF 6 circuit beaker and vacuum circuit breaker into intelligent circuit recloser, thus replacing the expensive imported automatic circuit recolser.

Utilization of DFIG on an Islanded Power Generation and Distribution System

The utilization of wind generation equipment, such as DFIGs （double fed induction generators）, interconnected to islanded power generation and distribution systems is investigated in order to determine their effects on the overall system operating characteristics and stability. The use of a stable power station （with high speed machines） will be critical in achieving fast and reliable transient response to network events, in particular, when large transient loads are expected on a continuous basis, i.e., industrial mining and mineral processing equipment. Simulation results of this paper assist in understanding how small power stations and wind generation equipment respond to large transients in an islanded network. In particular, detailed simulations and analyses will be presented on impacts of distributed wind generation units （1.5 MW DF1G） on the stability of a small weak network. The novelty of this paper is on detailed analyses and simulation of weak networks with interconnects DFIG＇s including their impacts on system stability under various transient operating conditions.

A Study of the Characteristics of Consumers' Behavior under the Web Environmen

The development of Internet has made shopping online possible. But while we are focusing ourselves on the environment design, plan for the information structures and items or business scales, another important factor has been ignored, that is, the changes of the characteristics of consumers behavior under the web environment. Because we are not able to make the exact online marketing strategy according to the changes of consumers behavior, and although many online shops have been opened, we are not able to get big sales. This article emphasises the analysis of the environment for on line transactions, attampts to investigate the basic modes for information movement and on line shopping of those consumers under the web environment, study the influence on consumers brought by Internet, the shopping styles and their characteristics.

Dynamic Classifier Combination MethodBased on Minimum Cost Criterion

This paper presents a novel method for multi classifier dynamic combination based on minimum cost criterion.Differentfrom common combination methods,the proposed dynamic combinationselectsthe mostsuitable group ofclassifiersaccordingtothe Performance Predication Feature (PPF) extractedfrom theinputsample.PPFs arethefeatures ofsample thathave greatinfluence onthe performance ofclassifiers being studied.The decisionis made based on the criterion thatthe selected group ofclassifiers should minimize the cost caused by recognition errorand recognition time .Systematic methods for making this kind of combination is proposed and a practical example ofapplication is given.Because the adjustment ofcostfunction willresultin differenttrade off between recognitionrate and recognition speed,itis very convenientto satisfy different needs.The application in on line Chinese characterrecognitiontechnologyshowsthatthis kind ofcombination method hasthe merits ofhighflexibility and practicality,anditisindeed able toimprove the system performance .

《Cinderella On Line》(微电影剧本)

女主角:张小天男主角:李子旭女配角:希希日内小天家镜头抖动了一下,一个妆容精致的走进了画面,她拿着摄影机精心的摆弄着镜头的角度。画面里的女孩穿衣打扮都有一种不刻意的精致感,拍摄背景也是浓浓的小清新ins风。拍了几张美照之后,女孩举起了桌子上放着的餐盘,餐盘里有几块精心装饰但少得可怜的牛排,她小心翼翼的选取着最自然的拍摄角度,按下了连拍。