The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The parameter extraction method of De Soto is implemented in the single diode model and evaluated against measured data at varying temperatures and irradiances. The simulated current-voltage-curves (IV-curves) of the method can be seen as acceptable at reference conditions, but they result in a different IV-curve, not matching the measured IV-curve, at conditions that differ from the reference conditions...
We present a Nonlinear Model Predictive Control (NMPC) algorithm for real-time control of large-scale river networks in delta areas. The algorithm consists of an iterative, finite-horizon optimization of the system over a short-term control horizon. The underlying set of nonlinear internal process models represents relevant physical phenomena such as flow routing in the river network, and the dynamics...
Anomaly diagnostics and fault classification with prognostics is an active research topic, and real-time detection of anomalies and their classification has remained a critical challenge to be overcome. We developed an innovative, model-driven anomaly diagnostic and fault characterization system for electromechanical actuator (EMA) systems to mitigate catastrophic failures. The efficacy of the Model-based...
The monitoring system of the dam is introduced. To different dams and monitoring points at different locations of dams, because their geographical environment and geological environment are different, their deformation discipline is different, we can preplace some deformation models, and let the computer look for the deformation model whose forecast error is least. In order to improve the fitted accuracy...
In this paper we deal with modeling serum proteolysis process from tandem mass spectrometry data. The parameters of peptide degradation process inferred from LC-MS/MS data correspond directly to the activity of specific enzymes present in the serum samples of patients and healthy donors. Our approach integrate the existing knowledge about peptidases' activity stored in MEROPS database with the efficient...
The aim of this paper is to develop a methodology that makes it possible to take advantage of power transformer operators' knowledge in order to reach a better control of process of preventive maintenance (PM). The main idea is to construct probabilistic models using a Bayesian approach along with an age reduction model in order to compensate for both the lack of failure data on the maintained system...
In this paper we propose a web log mining-based network user behavior analysis scheme, which plays an important role in network structure optimization and website server configuration. Based on clustering and regression model, we studied the network user's visit model in a university by analyzing a large amount of web log data which is collected from the university campus network. The data analyzing...
The construction method of background value has been researched in this paper because it is one key to affect the precision and adaptability of GM(1,1) model. And a new calculation formula of background value has been reestablished based on the literatures. Besides, in order to further improve the precision, the initial value of GM (1,1) prediction formula has been developed and optimized by using...
We examine the problem of estimating clearing functions that relate the expected output of a production resource as a function of its expected workload, from empirical data. We use a simulation model of a scaled-down wafer fabrication facility to generate the data and evaluate the performance of the resulting clearing functions. We compare several different regression approaches and report computational...
Position and force control are two critical aspects of prosthetic control. Surface electromyographic (sEMG) signals can be used for skeletal muscle force estimation. In this paper, skeletal muscle is considered as a system and System Identification (SI) is used to model sEMG and skeletal muscle force. The recorded sEMG signal is filtered utilizing optimized nonlinear Half-Gaussian Bayesian filter,...
Computing Bayesian statistics with traditional techniques is extremely slow, specially when large data has to be exported from a relational DBMS. We propose algorithms for large scale processing of stochastic search variable selection (SSVS) for linear regression that can work entirely inside a DBMS. The traditional SSVS algorithm requires multiple scans of the input data in order to compute a regression...
Recently, a model-based depth estimation technique has been proposed, which estimates surface model parameters by means of Hooke-Jeeves optimization. Assuming a parametric surface model, the parameters best explaining the perspective changes of the surface between different views are estimated. This constitutes a fitting of models directly into stereo images, which is in contrast to the usual approach...
In order to optimize the capacity of farmers' income persistently increasing, in this paper we analyze 8 factors affecting farmers' income increasing using PLS model based on the statistical data of Heilongjiang reclamation from 2000 to 2008. The study shows that wage incomes, agricultural subsidy and tax reducing still account for a great proportion of farmers' net incomes, but the level of agricultural...
An extended evaluation method for the decision-making problems of alternatives is introsuced by means of extension theory. The extended evaluation method can carry out the decision-making problems of the alternatives based on matter-element models and extended relational degrees. The matter-element model of the desired alternative (ideal alternative) and the matter-element models of alternatives are...
The goal of this research is to identify the significant factors affecting the firm performance and estimate the system behavior in different operating conditions. By determining the statistical relations of the productivity and effectiveness of the firm with these factors, a decision-making framework can be provided to improve the system performance within the competitive strategy of the whole supply...
In order to study the damage on weapon equipment by explosive shock wave, simulation experiments were carried out to research explosive impact damage on stiffened cantilever box girder. Data mining method of PCA was introduced to process the damage data in simulation experiments. Basing on simulation and data mining, it discussed multi-objective optimization of stiffened cantilever box girder about...
This paper presents a site-specific validation of path loss models for a complex indoor propagation topology at 2.4 GHz. More specifically, extensive RF measurements were performed at the Public Library of the University of Patras (for an operating 802.11g Wi-Fi system). The acquired average received power levels allowed us to validate the robustness of indoor RF models in terms of mean error and...
Refined Oil demand has great influence on the planning, operation and control of Refined Oil systems. A combined forecasting model based on the principle of gray theories was put forward to optimize Refined Oil demand forecasting models. The example shows that combined gray forecasting model can overcome the disadvantages of individual model, raise the precision.
After data analysis and being tested by Chi-square distribution, it is proved that the number of patients in this model follows Poisson distribution. Since the service time does not follow negative exponential distribution, queue process is queuing model with M/G/C waiting system. By introducing multiobjective optimization model, the optimal number of patients in hospital is calculated, and the intervals...
This work presents a Data-Driven control applied to a wastewater treatment plant in a simulation study. The Benchmark Simulation Model 1 (BSM1) is used as a benchmark to compare the obtained results. It was found that similar results from the default controllers are achieved, without the need of any simplification of the model, and using only data from the direct simulation of the process. The Virtual...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.