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root mean square value

NUMERICAL ANALYSIS OF VEHICLE EXHAUST SYSTEM TO DETERMINE HANGER LOCATION USING ROOT MEAN SQUARE VALUE

NUMERICAL ANALYSIS OF VEHICLE EXHAUST SYSTEM TO DETERMINE HANGER LOCATION USING ROOT MEAN SQUARE VALUE

... RMS value is smaller than other surrounding ...RMS value comparing with the third original location and it is suitable location to hang the rear part of the exhaust ...

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Predicting Reservoir Evaporation Using Artificial Neural Network

Predicting Reservoir Evaporation Using Artificial Neural Network

... and Root mean square error (RMSE) were employed to evaluate the accuracy of the proposed ...the root mean square value (RMSE) of ...

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Sliding mode control of bus stability based on LMI

Sliding mode control of bus stability based on LMI

... The root mean square values are shown in table ...angle root mean square value of sliding mode control is reduced by ...velocity root mean square ...

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Cold Model Experiment on Melting Phenomena of Zn Ingot in Hot Dip Plating Bath

Cold Model Experiment on Melting Phenomena of Zn Ingot in Hot Dip Plating Bath

... The mean flow velocity, u u, is also approximately uniform, ...the mean flow velocity, u u, and the root-mean-square value of the turbulence component, u ...

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Root Mean Square Acceleration (RMS), Crest Factor and Hand- Arm Vibration Dose Value In Tiller Users

Root Mean Square Acceleration (RMS), Crest Factor and Hand- Arm Vibration Dose Value In Tiller Users

... Complete assessment of exposure to vibration involves measuring acceleration in the considered directions, frequencies and exposure duration. According to the ISO standard, three orthogonal directions of the coordinate ...

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Comparative study of Adaptive methodologies for Extracting Abdominal Fetal Electrocardiogram

Comparative study of Adaptive methodologies for Extracting Abdominal Fetal Electrocardiogram

... Least Mean Square (CSLMS) ...Least Mean Squares (LMS) based Finite Impulse Response (FIR) Adaptive Filters and to determine which of them are the most effective under varying ...Percentage ...

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Evaluation of growth stage specific crop coefficients of maize using weighing lysimeter

Evaluation of growth stage specific crop coefficients of maize using weighing lysimeter

... (Kc) value, which is related to a specific crop growth development ...the root mean square error to the standard deviation of measured data (RSR), the root mean square ...

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Myoelectric control of prosthetic hands: state-of-the-art review

Myoelectric control of prosthetic hands: state-of-the-art review

... with permanent magnet DC motor and electromagnetic relays. Later, the myoelectric control strategy had been widely ana- lyzed and a simple on–off control scheme was developed. In this myoelectric control scheme, the ...

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A gait abnormality measure based on root mean square of trunk acceleration

A gait abnormality measure based on root mean square of trunk acceleration

... Root mean square (RMS) of acceleration is also seen frequently in gait analysis research ...RMS value is clear, and the value is easy to use in clinical ...RMS value along the ...

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Mesoscopic fluctuations in the shot-noise power of metals

Mesoscopic fluctuations in the shot-noise power of metals

... One notes for the shot-noise power that the value of the exponent of (Ιφ/L) occurring in the expressions for the average, for the weak-localization effect and for the root-mean-square [r] ...

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Intensity Characteristics of Ground Motion Vectors

Intensity Characteristics of Ground Motion Vectors

... the mean square to the acceleration method corresponds to the second segment of the intensity envelope (the strong earthquake) is ...the mean value of the root mean square ...

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RMSE (Root Mean Square Error), respectively.

RMSE (Root Mean Square Error), respectively.

... In this research, we are interest in time series analysis with the most popular method, that is, the Box and Jenkins method [3]. The result model of this method is quite accurate compared to other methods and can be ...

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Sharp bounds for Seiffert mean in terms of root mean square

Sharp bounds for Seiffert mean in terms of root mean square

... Then it is not difficult to verify that f(x) is continuous and strictly increasing in [1/ 2,1]. Note that f(1/2) = A(a,b) <T(a,b) and f(1) = S(a, b) >T(a, b). Therefore, it is nat- ural to ask what are the greatest ...

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A Study onControl of Myoelectric Prosthetic Hand Based on Surface EMG Pattern Recognition

A Study onControl of Myoelectric Prosthetic Hand Based on Surface EMG Pattern Recognition

... Fig.2 Seven upper limb motion and Eight Channel of muscle on the right hand of the subject The EMG signal has been used in prosthetic hand actuation since 1948. Producing commercial prosthetic hand using MES began in ...

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SECRET DATA HIDING BY OPTIMIZING GENERAL SMOOTHNESS DIFFERENCE EXPANSION BASED 
METHOD

SECRET DATA HIDING BY OPTIMIZING GENERAL SMOOTHNESS DIFFERENCE EXPANSION BASED METHOD

... like mean square error, mean absolute error, sum square error and root mean square error obtained using feed forward networks are listed in the table ...

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ANALYSIS OF FACTORS AFFECTING THE DECISION OF PURCHASING GLUTEN-FREE CAKES THROUGH SOCIAL MEDIA

ANALYSIS OF FACTORS AFFECTING THE DECISION OF PURCHASING GLUTEN-FREE CAKES THROUGH SOCIAL MEDIA

... PD is purchase decision and RG is reference group. In perspective of consumer behavior, the influence of reference groups can lead to purchasing decision. There are three types of reference group influences identified in ...

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Polish Adaptation of the Self-Care of Diabetes Inventory (SCODI)

<p>Polish Adaptation of the Self-Care of Diabetes Inventory (SCODI)</p>

... The study was conducted between March 2018 and March 2019 in the Wroclaw University Hospital in Poland. The sample of 276 patients with type 2 diabetes (mean age 61.28 years) was recruited from 373 eligible ...

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Analyzing Cervical Cancer by using an Ensemble Learning Approach based on Meta Classifier

Analyzing Cervical Cancer by using an Ensemble Learning Approach based on Meta Classifier

... Weka is a software tool which consists of group of machine learning algorithms to accomplish data mining tasks [8]. It in- cludes several tools for data preprocessing, classification, clus- tering, regression, ...

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Generalized maximum entropy (GME) estimator: formulation and a monte carlo study

Generalized maximum entropy (GME) estimator: formulation and a monte carlo study

... and root mean square in small sample sizes, the root mean square error (SRMSE) can also be much more reduced by incorporating out of sample information using support spaces of ...

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QSAR-based rational discovery of novel substituted-4′-iminospiro[indoline-3,3′-[1,2,5]thiadiazolidinyl]-2-one 1′,1′-dioxide with potent in vitro anticancer activity

QSAR-based rational discovery of novel substituted-4′-iminospiro[indoline-3,3′-[1,2,5]thiadiazolidinyl]-2-one 1′,1′-dioxide with potent in vitro anticancer activity

... The main aim of molecular dynamic simulations was to evaluate the stability of binding of the proposed docked compounds inside the active side of AR during simulation time. The time period was 20,000 picoseconds (20 ns). ...

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