scholarly journals ANALISIS PASANG SURUT MENGGUNAKAN METODE LEAST SQUARE DI WILAYAH PERAIRAN ENDE, NUSA TENGGARA TIMUR

2019 ◽  
Vol 4 (1) ◽  
pp. 1-7
Author(s):  
Celiana F. J. P. Soares ◽  
Abdul Wahid ◽  
Jehunias L. Tanesib
Keyword(s):  
Mixed Type ◽  
Least Square Method ◽  
Analysis Data ◽  
Least Square ◽  
Tidal Component ◽  
Dominant Component ◽  
Tidal Harmonics ◽  
Tidal Harmonic ◽  
Harmonic Components ◽  
Sea Area

Abstrak Telah dilakukan penelitian tentang analisis pasang surut menggunakan metode Least Square di wilayah perairan Ende, Nusa Tenggara Timur. Penelitian ini bertujuan untuk menentukan komponen harmonik pasang surut menggunakan metode Least Square serta menganalisis tipe pasang surut menggunakan bilangan Formzahl. Berdasarkan hasil analisis data, diketahui bahwa komponen pasang surut yaitu M2, S2, N2, K1, O1, Q1 dan tipe pasang surut di perairan Ende termasuk tipe campuran condong keharian ganda (mixed tide prevailing semidiurnal) dengan nilai Formzhal (F) setiap bulannya adalah (0,38), (0,31), (0,25), (0,28), (0,38), (0,44), (0,41), (0,33), (0,25), (0,27) (0,35) dan 0,42. Hasil analisis pasang surut menunjukkan nilai amplitudo harmonik pasang surut ganda utama M2 dan S2 lebih dominan dibandingkan komponen pasang surut tunggal utama K1 dan O1.  Kata Kunci: Least Square, Campuran Condong Harian Ganda, Perairan Ende.  Abstract Research on tidal analysis has been done using the Least Square method in the sea area surrounding Ende, East Nusa Tenggara. This research aims to determine the components of tidal harmonics using the Least Square method and to analyze the type of tides using Formzhal number. Based on the results of analysis data, it is known that tidal harmonic components are M2, S2, N2, K1, O1, Q1 and the type of tides in Ende sea included mixed type of tide prevailing semidiurnal with Formzhal (F) value of (0.38), (0.31), (0.25), (0.28), (0.38), (0.44), (0.41), (0.33), (0.25), (0.27), (0.35), and 0.42. The results show the amplitude of the main tidal component M2 and S2 is the dominant component in the Ende Sea compared to the main single tidal component K1 and O1.  Keywords: Least Square, Mixed Tide Prevailing Semidiurnal, Ende Sea.

scholarly journals Analysis and Prediction of COVID-19 Outbreak by the Numerical Modelling 

2020 ◽  
Author(s):  
Dilshad Azad Mohammed ◽  
Hassan Mohammad Tawfeeq ◽  
Kameran Mohammed Ali ◽  
Hassan Muhammad Rostam
Keyword(s):  
Nonlinear Differential Equations ◽  
Least Square Method ◽  
Analysis Data ◽  
Least Square ◽  
Basic Reproductive Number ◽  
Reproductive Number ◽  
Kurdistan Region ◽  
Runge Kutta Method ◽  
Maximum Value ◽  
Daily Data

Abstract Pandemic COVID-19 is a contagious disease affecting more than 200 countries, territories and regions. Recently, Iraq is one of the countries that has immensely suffered with this outbreak. The Kurdistan Region of Iraq (KRI) is also prone to the disease. Until now more than 23,000 confirmed cases have been recorded in the region. Since the onset of the COVID-19 in Wuhan, based on epidemiological modelling, researchers have used various models to predict the future of the epidemic and the time of peak, yielding a diverse number in different countries. This study aims to estimate the basic reproductive number (R0) for COVID-19 in KRI, using the standard SIR (Susceptible-Infected-Removed) epidemic model. A system of nonlinear differential equations is formulated and solved numerically by the 4th order Runge-Kutta method. Reproductive numbers R0 have been estimated by this method of fitting the curves between the actual daily data and numerical solution by applying the least square method. For the analysis, data were taken for the duration of 165 days from 1st of March to 12th August in a population of 5.2 million. It has been concluded that R0 is fluctuating during the outbreak with an average of 1.33, predicting that infected cases will reach their maximum value of around 540,000 on 5th of November 2020. Then the spread of the disease will die out since the number of susceptible will decrease to about 3.2 million. While the number of removed individuals will reach approximately to 1.5 million.

scholarly journals Analysis and Prediction of COVID-19 Outbreak by the Numerical Modelling 

2020 ◽  
Author(s):  
Dilshad Azad Mohammed ◽  
Hassan Mohammad Tawfeeq ◽  
Kameran Mohammed Ali ◽  
Hassan Muhammad Rostam
Keyword(s):  
Nonlinear Differential Equations ◽  
Least Square Method ◽  
Analysis Data ◽  
Least Square ◽  
Basic Reproductive Number ◽  
Reproductive Number ◽  
Kurdistan Region ◽  
Runge Kutta Method ◽  
Maximum Value ◽  
Daily Data

Abstract Pandemic COVID-19 is a contagious disease affecting more than 200 countries, territories and regions. Recently, Iraq is one of the countries that has immensely suffered with this outbreak. The Kurdistan Region of Iraq (KRI) is also prone to the disease. Until now more than 23,000 confirmed cases have been recorded in the region. Since the onset of the COVID-19 in Wuhan, based on epidemiological modelling, researchers have used various models to predict the future of the epidemic and the time of peak, yielding a diverse number in different countries. This study aims to estimate the basic reproductive number (R0) for COVID-19 in KRI, using the standard SIR (Susceptible-Infected-Removed) epidemic model. A system of nonlinear differential equations is formulated and solved numerically by the 4th order Runge-Kutta method. Reproductive numbers R0 have been estimated by this method of fitting the curves between the actual daily data and numerical solution by applying the least square method. For the analysis, data were taken for the duration of 165 days from 1st of March to 12th August in a population of 5.2 million. It has been concluded that R0 is fluctuating during the outbreak with an average of 1.33, predicting that infected cases will reach their maximum value of around 540,000 on 5th of November 2020. Then the spread of the disease will die out since the number of susceptible will decrease to about 3.2 million. While the number of removed individuals will reach approximately to 1.5 million.

scholarly journals Analysis and Prediction of COVID-19 Outbreak by a Numerical Modelling

2021 ◽  
pp. 1452-1459
Author(s):  
Dilshad Azad Mohammed ◽  
Hassan Mohammad Tawfeeq ◽  
Kameran Mohammed Ali ◽  
Hassan Muhammad Rostam
Keyword(s):  
Nonlinear Differential Equations ◽  
Least Square Method ◽  
Analysis Data ◽  
Least Square ◽  
Basic Reproductive Number ◽  
Reproductive Number ◽  
Kurdistan Region ◽  
Runge Kutta Method ◽  
Maximum Value ◽  
Daily Data

Pandemic COVID-19 is a contagious disease affecting more than 200 countries, territories, and regions. Recently, Iraq is one of the countries that have immensely suffered from this outbreak. The Kurdistan Region of Iraq (KRI) is also prone to the disease. Until now, more than 23,000 confirmed cases have been recorded in the region. Since the onset of the COVID-19 in Wuhan, based on epidemiological modelling, researchers have used various models to predict the future of the epidemic and the time of peak, yielding diverse numbers in different countries. This study aims to estimate the basic reproductive number [R0] for COVID-19 in KRI, using the standard SIR (Susceptible-Infected-Removed) epidemic model. A system of nonlinear differential equations was formulated and solved numerically by the 4th order Runge-Kutta method. The reproductive numbers R0 was estimated by the method of fitting the curves between the actual daily data and numerical solution by applying the least square method. For the analysis, data were taken for the duration of 165 days, from 1st of March to 12th August 2020, in a population of 5.2 million. It is concluded that the R0 value was fluctuating during the outbreak, with an average of 1.33, predicting that infection cases will reach their maximum value of around 540,000 on the 5th of November 2020. Then, the spread of the disease will die out since the number of susceptible people will decrease to about 3.2 million. While the number of removed individuals will reach approximately to 1.5 million.

Direct Assessment of Effective Renal Plasma Flow from Renoscintigraphy with a Gamma Camera and an On-Line Computer

1981 ◽  
Vol 20 (06) ◽  
pp. 274-278
Author(s):  
J. Liniecki ◽  
J. Bialobrzeski ◽  
Ewa Mlodkowska ◽  
M. J. Surma
Keyword(s):  
Count Rate ◽  
Renal Plasma Flow ◽  
Early Period ◽  
Least Square Method ◽  
Least Square ◽  
Uptake Coefficient ◽  
Positive Linear Correlation ◽  
On Line ◽  
Best Fit ◽  
Plasma Activity

A concept of a kidney uptake coefficient (UC) of 131I-o-hippurate was developed by analogy from the corresponding kidney clearance of blood plasma in the early period after injection of the hippurate. The UC for each kidney was defined as the count-rate over its ROI at a time shorter than the peak in the renoscintigraphic curve divided by the integral of the count-rate curve over the "blood"-ROI. A procedure for normalization of both curves against each other was also developed. The total kidney clearance of the hippurate was determined from the function of plasma activity concentration vs. time after a single injection; the determinations were made at 5, 10, 15, 20, 30, 45, 60, 75 and 90 min after intravenous administration of 131I-o-hippurate and the best-fit curve was obtained by means of the least-square method. When the UC was related to the absolute value of the clearance a positive linear correlation was found (r = 0.922, ρ > 0.99). Using this regression equation the clearance could be estimated in reverse from the uptake coefficient calculated solely on the basis of the renoscintigraphic curves without blood sampling. The errors of the estimate are compatible with the requirement of a fast appraisal of renal function for purposes of clinical diagknosis.

PENGARUH KNOWLEDGE MANAGEMENT, KOMPETENSI, MOTIVASI TERHADAP KINERJA KARYAWAN

2015 ◽  
Vol 5 (2) ◽  
pp. 1
Author(s):  
Miftahol Arifin
Keyword(s):  
Knowledge Management ◽  
Linear Regression ◽  
Significant Influence ◽  
Employee Performance ◽  
Least Square Method ◽  
Least Square ◽  
Analysis Tool ◽  
Ordinary Least Square ◽  
Competence Motivation ◽  
Performance Analyze

The purpose of this research is to analyze the influence of knowledge management on employee performance, analyze the effect of competence on employee performance, analyze the influence of motivation on employee performance). In this study, samples taken are structural employees PT.centris Kingdom Taxi Yogyakarta. The analysis tool in this study using multiple linear regression with Ordinary Least Square method (OLS). The conclusion of this study showed that the variables of knowledge management has a significant influence on employee performance, competence variables have an influence on employee performance, motivation variables have an influence on employee performance, The analysis showed that the variables of knowledge management, competence, motivation on employee performance.Keywords: knowledge management, competence, motivation, employee performance.

Peristaltic Carreau-Yasuda nanofluid flow and mixed heat transfer analysis in an asymmetric vertical and tapered wavy wall channel

2020 ◽  
Vol 1 (1) ◽  
pp. 128-140 ◽  
Author(s):  
Mohammad Hatami ◽  
◽  
D Jing ◽  
Keyword(s):  
Heat Transfer ◽  
Least Square Method ◽  
Weissenberg Number ◽  
Least Square ◽  
Heat Transfer Analysis ◽  
Phase Method ◽  
Nanofluid Flow ◽  
Two Phase ◽  
Nanoparticles Concentration ◽  
The Right

In this study, two-phase asymmetric peristaltic Carreau-Yasuda nanofluid flow in a vertical and tapered wavy channel is demonstrated and the mixed heat transfer analysis is considered for it. For the modeling, two-phase method is considered to be able to study the nanoparticles concentration as a separate phase. Also it is assumed that peristaltic waves travel along X-axis at a constant speed, c. Furthermore, constant temperatures and constant nanoparticle concentrations are considered for both, left and right walls. This study aims at an analytical solution of the problem by means of least square method (LSM) using the Maple 15.0 mathematical software. Numerical outcomes will be compared. Finally, the effects of most important parameters (Weissenberg number, Prandtl number, Brownian motion parameter, thermophoresis parameter, local temperature and nanoparticle Grashof numbers) on the velocities, temperature and nanoparticles concentration functions are presented. As an important outcome, on the left side of the channel, increasing the Grashof numbers leads to a reduction in velocity profiles, while on the right side, it is the other way around.

Fast noise removal algorithm for HDR image based on least square method

2009 ◽  
Vol 29 (4) ◽  
pp. 994-996
Author(s):  
De-quan SUN ◽  
Jun ZHANG ◽  
Xiao-feng LI ◽  
Hui LI
Keyword(s):  
Least Square Method ◽  
Noise Removal ◽  
Least Square ◽  
Hdr Image

Model-based control of the substrate concentration in an aeration basin using the wastewater level

1998 ◽  
Vol 37 (12) ◽  
pp. 335-342 ◽  
Author(s):  
Jacek Czeczot
Keyword(s):  
Substrate Concentration ◽  
Consumption Rate ◽  
Least Square Method ◽  
Estimation Procedure ◽  
Adaptive Controller ◽  
Open Loop ◽  
Least Square ◽  
Substrate Consumption ◽  
Model Based ◽  
Effluent Flow Rate

This paper deals with the minimal-cost control of the modified activated sludge process with varying level of wastewater in the aerator tank. The model-based adaptive controller of the effluent substrate concentration, basing on the substrate consumption rate and manipulating the effluent flow rate outcoming from the aerator tank, is proposed and its performance is compared with conventional PI controller and open loop behavior. Since the substrate consumption rate is not measurable on-line, the estimation procedure on the basis of the least-square method is suggested. Finally, it is proved that cooperation of the DO concentration controller with the adaptive controller of the effluent substrate concentration allows the process to be operated at minimum costs (low consumption of aeration energy).

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