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In this paper, a novel modeling method of soft sensing is presented to measure the spent catalyst's carbon content in fluidized-bed catalytic cracking. This model focuses on improving the existing soft sensing models' performances, such as higher measurement accuracy, more robust working performance, or better generalization ability. To build this model, firstly, we choose the primary variables and...
In view of the influence of smart meter's reliability on smart grid, this paper presents a reliability prediction optimal model of smart meter. Firstly, establish the reliability model of smart meter based on the component stress method. Secondly, combined with the field data, smart meter prediction model is established based on new Weibull distribution parameter method and point estimation method...
Extract-Transform-Load (ETL) tools have provided organizations with the ability to build and maintain workflows (consisting of graphs of data transformation tasks) that can process the flood of digital age data. Currently, however, the specification of ETL workflows is largely manual, human time intensive, and error prone. As requirements become increasingly complex, users must have considerable technical...
Chabagou, a small watershed in Loess Plateau, is a typical area with waterfall and geographic features. The research on the adaptability of different erosion and sediment yield models will be of great importance to the productive practice and the research on erosion and sediment in these areas. The thesis chooses two different types of erosion models (empirical watershed scale model and distributed...
In this paper, we present a scalable implementation of a topic modeling (Adaptive Link-IPLSA) based method for online event analysis, which summarize the gist of massive amount of changing tweets and enable users to explore the temporal trends in topics. This model also can simultaneously maintain the continuity of the latent semantics to better capture the time line development of events. With the...
Defect number prediction is essential to make a key decision on when to stop testing. For more applicable and accurate prediction, we propose an ensemble prediction model based on stacked generalization (PMoSG), and use it to predict the number of defects detected by third-party black-box testing. Taking the characteristics of black-box defects and causal relationships among factors which influence...
As the Internet of Things Data Sharing Platform is going to exchange the data, the problem of heterogeneous data have to be solved, which means the problem of interconnection of kinds of database systems accessed to the platform should be solved, and it should also provide the services of data sharing and transparent data accessing between heterogeneous databases. In this paper, data conversion technology...
In this paper, a modified interval type-2 fuzzy T-S modeling method is applied to a heat exchange process on the equipment CE117 Process Trainer. First, subtractive clustering method combined with least square method is employed to build the type-1 fuzzy T-S model. Then the type-2 fuzzy T-S model is obtained from the type-1 model through unconstrained optimization where the Nelder-Mead Simplex method...
In popular outlier processing methods, some emphasize on spotted outliers processing and some emphasize on isolated outliers processing. They have seldom processed outliers from the perspective of outlier producing mechanism. This paper aims at the problem of outliers in dam safety monitoring and an outlier identify method which based on BP neural network is presented. This method based on the mechanism...
Type-II fuzzy model is useful to handle the influence of uncertainties. This paper presents an algorithm of Type-II T-S fuzzy (T2TSF) modeling based on data clustering and two approaches to design T2TSF model-based predictive controllers. As the T2TSF model is an extension of T1TSF (Type-I T-S fuzzy) model, the T2TSF modeling algorithm divides the input-output data set into several Type-I fuzzy sets...
To avoid the problems of high complexity and low flexibility in document processing softwares, especially office softwares, Model-view-controller (MVC) framework is introduced into document processing to divide model, view and controller, which can improve the software's reusability and flexibility, and reduce the software's relativity to platform. A framework based on MVC is proposed to process documents...
The adsorption and desorption properties of beta-cyclodextrin polymer (beta-CDP) for 4-cresol were investigated. Studies concerning the effects of pH, contact time and initial 4-cresol concentration were presented and discussed. Results of batch experiments showed that this adsorbent exhibited some sorption capacities toward 4-cresol. It was found that kinetics followed a Ho and McKay equation and...
Scientific workflow is becoming an important paradigm for scientific computations and collaborations. Provenance information plays an important role to reproduce data and prove the soundness of result for scientific workflow. The provenance information can be collected by keeping a complete trace of the workflow execution. In this paper, we give a high level Workflow Net model based on many-sorted...
In this paper, a raster-based spatio-temporal marine data model is designed by analyzing the characteristic and limitations of several typical spatio-temporal data models. It is a multilevel grid data model, and it takes into account space, time and attribute factor adequately. It has the advantages of simplicity and practicability, and it can also well organize and manage the marine data, especially...
In this paper, we bring forward a new approach for SAR imaging using fractional Fourier transform (FRFT). For synthetic aperture radar (SAR), the echo from the ground can be regarded approximately as a chirp signal, and the FRFT is a powerful way to concentrate the energy of a chirp signal. A two stepSAR imaging algorithms is suggested, and experimental results show that the efficiency and accuracy...
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