A Geometric Process Repair Model for the Repairable System Consisting of One Component

This paper considers the optimal replacement problem of a repairable system consisting of one component and a single repairman, assume that the system after repair is not 'as good as new', by using the geometric process, we consider a placement policy T based on the age of the system. The problem is to determine the optimal replacement policy T * such that the long_run expected benefit per unit time is maximized. Also, the explicit expression of the long_run expected benefit per unit time can be found. In some conditions, the existence and uniqueness of the optimal policy T * can be proved, finally, we prove that the policy T * is better than the policy T * in .

Remote Control of Unitary Air Conditioner Based on Manufacturing Message Specification

Traditional air conditioner used to be in local control mode. However, with the development of modern information technology, the control of air conditioner will have to support many more functions. As a first step in such a development, we have implemented a remote monitoring system of unitary air conditioners, using the manufacturing message specification (MMS). MMS is an OSI application protocol designed for the remote control and monitoring of real devices. The functions supported are those that an operator would do normally at the console of the unitary air conditioner. Due to the accomplishment of UMCS (Unitary air conditioner MMS Control System), there will be a leap of the application of MMS and the control technology of unitary air conditioner.

考虑滑面材质的碎屑流试验堆积特征分析

为分析高速远程滑坡运动与堆积特征,在室内设置物理试验模型,设计级配、坡角、碎屑流质量、滑面材质4种因素,分析各因素对碎屑流堆积特征的影响。研究结果表明:坡角减小、滑面更粗糙使部分颗粒堆积或滞留于坡面,颗粒堆积特征与颗粒完全堆积于坡底时相比存在差异;滑面材质与冲程等堆积特征基本呈负相关,坡角与堆积特征基本呈正相关,二者对堆积特征影响最大;碎屑流质量与堆积特征基本呈负相关,对颗粒堆积特征分布影响较小;级配与颗粒堆积特征无明显相关性。

A New Fuzzy Clustering-Ranking Algorithm and Its Application in Process Alarm Management

Overmany alarms of modern chemical process give the operators many difficulties to decision and diag- nosis. In order to ensure safe production and process operating, management and optimization of alarm information are challenge work that must be confronted. A new process alarm management method based on fuzzy clustering- ranking algorithm is proposed. The fuzzy clustering algorithm is used to cluster rationally the process variables, and difference driving decision algorithm ranks different clusters and process parameters in every cluster. The alarm signal of higher rank is handled preferentially to manage effectively alarms and avoid blind operation. The validity of proposed algorithm and solution is verified by the practical application of ethylene cracking furnace system. It is an effective and dependable alarm management method to improve operating safety in industrial process.

Research of deformation prediction method of soft soil deep foundation pit

In view of the characteristics of soft soil deep foundation pit for the construction and geotechnical characteristics of the special medium,it is difficult to calculate theoreti- cally accurately structural deformation of the foundation pit,so in the course of excavation on the construction of the information is particularly important.The analysis and compari- son of several popular non-linear forecasting methods,combined with the actual projects, set up a grey theoretical prediction model,time series forecasting model,improved neural network model to predict deformation of the foundation pit.The results show that the use of neural network to predict with high accuracy solution,it is the foundation deformation prediction effective way in underground works with good prospects.

Incremental Multi Step R Learning

Aim To investigate the model free multi step average reward reinforcement learning algorithm. Methods By combining the R learning algorithms with the temporal difference learning (TD( λ ) learning) algorithms for average reward problems, a novel incremental algorithm, called R( λ ) learning, was proposed. Results and Conclusion The proposed algorithm is a natural extension of the Q( λ) learning, the multi step discounted reward reinforcement learning algorithm, to the average reward cases. Simulation results show that the R( λ ) learning with intermediate λ values makes significant performance improvement over the simple R learning.

Track Prediction of Typhoon Neoguri 2008

In this paper, the prediction of the track for No.1 tropical cyclone, Neoguri, is concretely provided by using a special solution to （2-1）-dimensional Euler Equation.

A Provably Secure Asynchronous Proactive RSA Scheme

The drawback of the first asynchronous proactive RSA scheme presented by Zhou in 2001, is that the security definition and security proof do not follow the approach of provable security. This paper presented a provably secure asynchronous proactive RSA scheme, which includes three protocols: initial key distribution protocol, signature generation protocol and share refreshing protocol. Taken these protocols together, a complete provably secure proactive RSA scheme was obtained. And the efficiency of the scheme is approximate to that of the scheme of Zhou.

A STUDY ON VARIABLE QUANTITATIVE PRECIPITATION ESTIMATION USING DOPPLER RADAR DATA

With the pros and cons of the traditional optimization and probability pairing methods thoroughly considered, an improved optimal pairing window probability technique is developed using a dynamic relationship between the base reflectivity Z observed by radar and real time precipitation I by rain gauge. Then, the Doppler radar observations of base reflectivity for typhoons Haitang and Matsa in Wenzhou are employed to establish various Z-I relationships, which are subsequently used to estimate hourly precipitation of the two typhoons. Such estimations are calibrated by variational techniques. The results show that there exist significant differences in the Z-I relationships for the typhoons, leading to different typhoon precipitation efficiencies. The typhoon precipitation estimated by applying radar base reflectivity is capable of exhibiting clearly the spiral rain belts and mesoscale cells, and well matches the observed rainfall. Error statistical analyses indicate that the estimated typhoon precipitation is better with variational calibration than the one without. The variational calibration technique is able to maintain the characteristics of the distribution of radar-estimated typhoon precipitation, and to significantly reduce the error of the estimated precipitation in comparison with the observed rainfall.

A Study of Oceanic Reverberation Modeling Based on a Nonlinear Low-Dimensional Dynamic System

Acoustic reverberation signals generated by an experimental explosive source are analyzed by nonlinear dynamical methods. Three characteristic parameters, i.e., the correlation dimension, the largest Lyapunov exponent, and the Kolmogorov en- tropy, are estimated in the reconstructed phase space. The results indicate that the reverberation signals are nonlinear. The Volterra adaptive prediction method is introduced to model the oceanic reverberation signals. The reverberation time series can be predicted in short term with small prediction errors. A preliminary conclusion can be reached that the nonlinear low-dimensional dynamic sys- tem model is more suitable for modeling oceanic reverberation than the classical random AR model.

PCA weight and Johnson transformation based alarm threshold optimization in chemical processes

To alleviate the heavy load of massive alarm on operators, alarm threshold in chemical processes was optimized with principal component analysis(PCA) weight and Johnson transformation in this paper. First, few variables that have high PCA weight factors are chosen as key variables. Given a total alarm frequency to these variables initially, the allowed alarm number for each variable is determined according to their sampling time and weight factors. Their alarm threshold and then control limit percentage are determined successively. The control limit percentage of non-key variables is determined with 3σ method alternatively. Second, raw data are transformed into normal distribution data with Johnson function for all variables before updating their alarm thresholds via inverse transformation of obtained control limit percentage. Alarm thresholds are optimized by iterating this process until the calculated alarm frequency reaches standard level(normally one alarm per minute). Finally,variables and their alarm thresholds are visualized in parallel coordinate to depict their variation trends concisely and clearly. Case studies on a simulated industrial atmospheric-vacuum crude distillation demonstrate that the proposed alarm threshold optimization strategy can effectively reduce false alarm rate in chemical processes.

Isolated Pancreatic Tuberculosis in Non-immunocompromised Patient Treated by Whipple's Procedure:a Case Report

PANCREATIC tuberculosis(TB)is a rare disease and its diagnosis is difficult because of the lack of specific clinical manifestations.Computed tomography(CT)and magnetic resonance imaging(MRI)have some diagnostic values in this disease,but it is easy to misdiagnose pancreatic TB as a pancreatic tumor.1 In this article,we present a case of non-immunocompromised patient developing an isolated pancreatic TB,report the CT and MRI findings,and the surgical procedure for it.

A Case Study of Impact of FY-2C Satellite Data in Cloud Analysis to Improve Short-Range Precipitation Forecast

Chinese FengYun-2C(FY-2C) satellite data were combined into the Local Analysis and Prediction System(LAPS) model to obtain three-dimensional cloud parameters and rain content. These parameters analyzed by LAPS were used to initialize the Global/Regional Assimilation and Prediction System model(GRAPES) in China to predict precipitation in a rainstorm case in the country. Three prediction experiments were conducted and were used to investigate the impacts of FY-2C satellite data on cloud analysis of LAPS and on short range precipitation forecasts. In the first experiment, the initial cloud fields was zero value. In the second, the initial cloud fields were cloud liquid water, cloud ice, and rain content derived from LAPS without combining the satellite data. In the third experiment, the initial cloud fields were cloud liquid water, cloud ice, and rain content derived from LAPS including satellite data. The results indicated that the FY-2C satellite data combination in LAPS can show more realistic cloud distributions, and the model simulation for precipitation in 1–6 h had certain improvements over that when satellite data and complex cloud analysis were not applied.

Recommendations for Using Wiki in Online Group Projects in Engineering Education

Although Web 2.0 tools like blogs and wikis have been used for supporting collaborative learning in higher education, there are not many reports about implementation of that resource on engineering in Brazil. In this way, the main purpose of this research is to use a wiki platform for online activities and evaluate how students collaborate with each other in online tasks. It was investigated how collaboration can be measured on wiki platform During four-week online activities, 40 students of Civil Engineering course were monitored on Wikispaces~ platform. All students＇ actions were analyzed and classified as low, medium, or high level of collaboration. The data were collected through the statistical reports of Wikispaces~ and Google Analytics platforms. It computed 336 students＇ actions： 16.67% as high level, 45.24% as medium, and 38.10% as low. During informal interview, most of students （70%） related that wiki was a nice tool for collaboration work. The results indicated that wiki platform is an important way to develop innovative activities and tasks for the purpose of improving engineers＇ abilities and skills such as： writing communication, organization, collaboration, and critical thinking development.

Indoor thermal environment of wooden-plank wall dwellings in summer in Chongqing

There are a large number of wooden-plank wall dwellings, a kind of traditional house with regional characteristics, existing in Chongqing area. We chose a typical house in Chongqing as the subject and measured it during summer to research the situation of the indoor thermal comfort of wooden-plank wall dwellings. Based on the particularity of local residents' living habit and the characteristics of the local buildings, we analyzed the data of the field measurement and evaluated the thermal environment with APMV. The results show that the indoor thermal comfort of wooden-plank wall dwellings in summer is improved mainly by natural ventilation.

Principal component analysis and cluster analysis based orbit optimization for earth observation satellites

This paper proposes a design optimization method for the multi-objective orbit design of earth observation satellites, for which the optimality of orbit performance indices with different units, such as: total coverage time, the frequency of coverage, average time per coverage and maximum coverage gap, etc. is required simultaneously. By introducing index normalization method to convert performance indices into dimensionless variables within the range of [0, 1], a design optimization method based on the principal component analysis and cluster analysis is proposed, which consists of index normalization method, principal component analysis, multiple-level cluster analysis and weighted evaluation method. The results of orbit optimization for earth observation satellites show that the optimal orbit can be obtained by using the proposed method. The principal component analysis can reduce the total number of indices with a non-independent relationship to save computing time. Similarly, the multiple-level cluster analysis with parallel computing could save computing time.

Effects of micro-parameter on solidification structure of ZG12MnMoV low-alloy steel based on CAFE model

Abstract： We mainly studied effects of nucleation parameters （ △Tv,max and △Ts,max ） and superheat on solidification structure of ZG12MnMoV low-alloy steel by integration of CAFE and experimentation. The result shows that grain dimension is not only related with nucleation parameters, but also with superheat. The smaller△Tv,max and △Ts,max get, the tinier grain turns. The lab experimentation on optimum parameter is conducted, the mean diameter of grain in lab test specimen is 153.2 lain, and the mean diameter calculated by CAFE model is 151.1 μm. The calculated solidification structure agrees with the experimental result in the main.

The effect of the planet's number on dynamic characteristics of planetary gear systems

Considering the effect of planet's number on the dynamic characteristics of the planetary gear system, a translationtorsion lumped-parameter model of 2K-H spur planetary gear system was established. Through the analysis of numerical solution, the results show that 1) When the planet's number is more than 3, the order of the natural frequency will become the same; 2) When the planet's number increases, the natural frequencies of planet mode remain invariant, but when it comes to rotational mode and translational mode, the higher order natural frequencies increase and the lower order natural frequencies decrease; 3) The planet's number has a great impact on the higher order natural frequencies and a little impact on the lower order natural frequencies; and 4) To avoid the resonance, we can appropriately increase or decrease the number of the planet.

Modelling and verification of a new Roots blower profile based on analysis of performance of different leaf contour

The rotor of a Roots blower is the key component relating to its capability, so the profile design of the rotor in a Roots blower is extremely important. We focused on the modelling and verification for a novel Roots blower tooth profile based on the performance analysis. By comparing the area utilization coefficient and the ratio of several traditional rotor profiles, we proposed a new rotor profile. Then, we further accomplished the mathematical modelling of the proposed rotor profile and the computational fluid dynamics(CFD) simulation, and obtained the Roots blower outlet flow monitoring curves. Finally, we verified the characteristics by a physical experiment.

Overview of Vietnamese Accounting System Since 1975 and the Process of Vietnam＇s Convergence to IFRS

The development of accounting systems is influenced by socio-economic characteristics at each stage. The paper explores the impact of the characteristics of political institutions at every stage in the development of social economy, which determines the objects using accounting information, as well as the legal accounting system issued so that accounting can meet the demand for accounting information of these objects in Vietnam from 1975 to the present. Based on studies by authors in this period as well as issued accounting documents system, this paper aims to point out the formation and development process of Vietnam accounting system, providing researchers and elaborating agencies with a basis for determining the right development direction of Vietnam accounting in the coming time.