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مقاله تحقیق پروژه دانش آموزی و دانشجویی

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مقاله تحقیق پروژه دانش آموزی و دانشجویی

LMI Based Nonlinear Observer Design for Estimating Tire-Road Friction Force

LMI Based Nonlinear Observer Design for Estimating Tire-Road Friction Force

LMI Based Nonlinear Observer Design for Estimating Tire-Road Friction Force

This paper deals with the problem of the robust tire-road friction force estimation. Tire-road friction is the most important piece of information used by active safety system. The friction coefficient between the tire and the road is exactly the kind of information which is very useful but is not directly measurable. To achieve the vehicle speed information and tire-road adhesion property is very important to the vehicle active safety control system. Since the friction is the main mechanism ...


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Investigation Bat Algorithm Based on Artificial Bee Colony and C-means

Investigation Bat Algorithm Based on Artificial Bee Colony and C-means

Investigation Bat Algorithm Based on Artificial Bee Colony and C-means

In this study a Bat algorithm clustering is proposed that is based on Artificial Bee Colony (ABC)and Fuzzy C-means (FCM). When FCM is applied on high dimensional dataset, it usually resultsin local optimal partitioning. In this paper we address this problem and used a recently developedevolutionary technique named Artificial Bee Colony in combination to FCM. Hence, the name isFuzzy Cmeans Bee (FCB) algorithm. The method can detect globally optimal cluster centeroidsbetter than FCM as a most ...


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Compare the parameters extracted using Lambert function and genetic algorithm based on organic solar panels.

Compare the parameters extracted using Lambert function and genetic algorithm based on organic solar panels.

Compare the parameters extracted using Lambert function and genetic algorithm based on organic solar panels.

In this solar panel design parameters, using the Lambert function has been studied. With this function by using the experimental results, we investigated the effect of shadows And found that there is a shadow on a cell reduces the open circuit voltage and short circuit current increases. Interest and also reduces congestion and increases the saturation current of the first diode and the first diode parallel resistanceAnd the second diode is ideal factor And photo-current generated in the cell ...


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Design Model Predictive Control based Neural Network for Temperature Control of Fermentation Chemical Bioreactor

Design Model Predictive Control based Neural Network for Temperature Control of Fermentation Chemical Bioreactor

Design Model Predictive Control based Neural Network for Temperature Control of Fermentation Chemical Bioreactor

A chemical production system in recent years has made great progress. This system is different for each type of chemical substance and it is dependent on the type of reaction and dynamic. And the respective tanks are also designed and manufactured according to the type of equation. Control procedures caused a reaction and production process is optimized materials. The optimal production of high purity materials and high-speed response and more efficient use of raw materials is less. This paper ...


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A New Smart Chaotic and Noise Based Approach to Predict Stock Prices

A New Smart Chaotic and Noise Based Approach to Predict Stock Prices

A New Smart Chaotic and Noise Based Approach to Predict Stock Prices

Stock is the mirror of economics country. To forecast the market in different countries there are different Techniques, but the computers make a revolution on Trend Forecast and the Methods of autoregressive and mathematics is applied on the forecast. By the cause of nonlinear of series didnt give a good result and nonlinear type is replaced .Neural network is one of the trend forecast finance time series is one of the important tools ...


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Remote classification of images using the new fuzzy clustering algorithm based on the weight

Remote classification of images using the new fuzzy clustering algorithm based on the weight

Remote classification of images using the new fuzzy clustering algorithm based on the weight

Fuzzy clustering model is an essential tool to find the proper cluster structure of given data sets in pattern and image classification. In this paper, a new weighted fuzzy C-Means (NW-FCM) algorithm is proposed to improve the performance of NW-FCM models for high-dimensional multiclass pattern recognition problems and its result has been compared with the results of FCM, NFCC, and NW-FCM fuzzy clustering algorithm. The methodology used in NW-FCM is the concept of weighted mean from the ...


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A Novel Real Time Baseline Wandering Cancelation in ECG Signal Based on Morphological Filters

A Novel Real Time Baseline Wandering Cancelation in ECG Signal Based on Morphological Filters

A Novel Real Time Baseline Wandering Cancelation in ECG Signal Based on Morphological Filters

Electrocardiogram (ECG) signal is an important signal which shows electrical activity of the heart. It should be noise free for analyzing and extracting true information. The aim of this study is to remove the baseline wandering noise. This is a low frequency noise that makes distortion in ECG signal and sometimes makes it unusable, because extracting valuable information is impossible when this noise exists. We first introduced common methods and their limitations that are used for cancelation ...


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پایان نامه با موضوع : Density based Kinetic Monte Carlo Methods

پایان نامه با موضوع : Density based Kinetic Monte Carlo Methods

پایان نامه با موضوع : Density based Kinetic Monte Carlo Methods نویسنده : - زبان : انگلیسی - سال 2005 تعداد صفحات : 110 حجم فایل:5.68 مگابایت فصول:IntroductionMethods for crystal growth simulationsAn adatom density approach to nucleation and diffusionAn adatom density approach to nucleation and diffusionDensity Based KMC methods (AP-KMC): Fundamentals and DefinitionsStatistical Tests for the Submonolayer growth ...


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Interference Mitigation in Tracking Loop of GPS Receiver based on Adaptive Filtering

Interference Mitigation in Tracking Loop of GPS Receiver based on Adaptive Filtering

Interference Mitigation in Tracking Loop of GPS Receiver based on Adaptive Filtering

Spoofing has vital role in distorting Global Positioning System (GPS) signals. In this paper, a plenary anti-spoofing approach based on adaptive filtering is proposed to diminish spoofing effects. The suggested method can be easily implemented in tracking loop of GPS receiver. An adaptive filter based on the least mean square has been developed for estimating the genuine parameters of counterfeit signal. As a primary step, the proposed technique is implemented in software receiver to prove the ...


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Description of project management services based on the PMBOK

Description of project management services based on the PMBOK

Description of project management services based on the PMBOK

شرح خدمات مدیریت پروژه بر اساس استاندارد PMBOK برای انواع قراردادهای مدیریت پروژه بصورت فایل Word آماده شده است. ...


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