scholarly journals ANALISIS KALIBRASI MODEL HSS CLARK DENGAN MENGGUNAKAN PROGRAM HEC-HMS

2018 ◽  
Vol 6 (2) ◽  
pp. 15-22
Author(s):  
Syahrul Ramadhani ◽  
Yohanna Lilis Handayani ◽  
Sigit Sutikno
Keyword(s):  
Objective Function ◽  
Root Mean Square ◽  
Mean Square ◽  
Loss Model ◽  
Percent Error ◽  
Rms Error

Penerapan Hidrograf Satuan Sintetik (HSS) Clark pada DAS Lubuk Bendahara membutuhkan analisis yanglebih detail. Data curah hujan dan pencatatan muka air otomatis (AWLR) lapangan diperlukan sebagai bahankalibrasi. Parameter kehilangan air (loss model), aliran dasar (baseflow) dan transformasi aliran (transformmethod) dalam hidrograf satuan sintetik Clark dikalibrasi dengan menggunakan program HEC-HMS. Proseskalibrasi ini menggunakan tiga metode objective function yaitu Peak Weighted Root Mean Square (RMS) Error,Percent Error Peak dan Percent Error Volume. Hasil kalibrasi menunjukkan nilai yang dihasilkanmenggunakan metode Peak-Weighted RMS Error sebesar 2,57, selisih volume -0,09% dan selisih debit puncak1,1%.

Reduction of Forced Vibration Response by Optimum Balance of Linkage and Optimum Design of System

1997 ◽  
Author(s):  
She-min Zhang ◽  
Nobuyoshi Morita ◽  
Takao Torii
Keyword(s):  
Objective Function ◽  
Root Mean Square ◽  
Forced Vibration ◽  
Vibration Response ◽  
New Method ◽  
Mean Square ◽  
Design Variables ◽  
Calculation Results ◽  
Angular Velocities ◽  
Optimum Balance

Abstract This paper proposes a new method to reduce the forced vibration response of frame of linkage. It is that the root-mean-square (RMS) value of binary maximum (Bmax) of forced vibration response at a series of angular velocities is taken as the objective function, and the counterweight mass parameters of links and the stiffness factors are used as design variables. Then, it is found out that the responses are related not only to the Bmax value of shaking forces, but also to the shape of curve of shaking forces. The calculation results are compared with those of two other methods used in the reduction of forced vibration response by optimized balance of linkages, and it is shown that the new method can significantly reduce the responses of frame of linkage.

scholarly journals اقتراح استعمال مبدأ اعظم دالة انتروبي POME على توزيع كاما العام في تقدير احتمالات البقاء للسكان في العراق

2016 ◽  
Vol 22 (93) ◽  
pp. 454
Author(s):  
عمر عبد المحسن علي ◽  
رغدة زياد طارق
Keyword(s):  
Maximum Likelihood ◽  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Mean Square ◽  
Percent Error ◽  
Mean Absolute Percent Error ◽  
Generalized Gamma ◽  
Economic Survey ◽  
Absolute Percent Error

المستخلص: تم في هذا البحث تقدير دالة البقاء على قيد الحياة لبيانات تعاني من اضطراب وتشويش للمسح الاجتماعي والاقتصادي للأسرة في العراق 2012 (Iraq Household Socio-Economic Survey: IHSES II 2012) لبيانات فئات خماسية العمر تتبع توزيع كاما العام (Generalized Gamma: GG). واستعملت طريقتين للأغراض التقدير والموائمة fitting وهي طريقة مبدأ اعظم دالة انتروبي Principle of Maximizing Entropy: POME  وطريقة تمهيد لامعلمية بدالة لبّية Kernel ، للتغلب على المشاكل الرياضية التي تعتري التكاملات التي يتضمنها هذا التوزيع بالذات المتمثلة بتكامل دالة كاما الناقص، هذا الى جانب استعمال الطريقة التقليدية وهي الامكان الاعظم Maximum Likelihood: ML حيث تتم المقارنة على اساس اسلوب الجهاز المركزي للإحصاء في احتساب دالة البقاء من خلال برنامج MORTPAK كقيم حقيقية. وبعد ذلك القيام بالمقارنة باستعمال معيار جذر متوسط مربعات الخطأ Root Mean Square Error: RMSE  ، ومعيار متوسط مطلق نسبة الخطأ Mean Absolute Percent Error: MAPE  . وأظهرت النتائج أفضلية طريقة الانتروبي في تقدير دالة البقاء على الطرائق الاخرى.  

DELAY PREDICTION IN IOT AND TACTILE INTERNET USING MACHINE LEARNING APPROACH

2021 ◽  
Author(s):  
А.Р. АБДЕЛЛАХ ◽  
О.А. МАХМУД ◽  
А.И. ПАРАМОНОВ ◽  
А.Е. КУЧЕРЯВЫЙ
Keyword(s):  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Single Step ◽  
Mean Square ◽  
Percent Error ◽  
Mean Absolute Percent Error ◽  
Accuracy Measure ◽  
Delay Prediction ◽  
Absolute Percent Error

Предложены методы прогнозирования задержки в сетях интернета вещей и тактильного интернета при прогнозировании вперед на несколько шагов MSP (Multi-step ahead Prediction) и один шаг SSP (Single-step ahead Prediction). Использованы нелинейные авторегресионные рекуррентные нейронные сети с внешними входами NARX(NonlinearAutoregressive with Exogenous inputs) для временных рядов. Проведена оценка точности прогнозирования с помощью трех алгоритмов обучения нейронной сети (Trainlm, Traincgf, Trainrp) при использовании в качестве оценок точности прогнозирования среднеквадратичной ошибки RMSE(Root Mean Square Error) и средней абсолютной ошибки в процентах MAPE(Mean Absolute Percent Error). In this paper, we perform the delay prediction in IoT and tactile Internet communication networks using a multistep ahead prediction (MSP) and single-step ahead prediction (SSP) with Time Series NARX (Nonlinear AutoRegressive with eXogenous inputs) Recurrent Neural Networks. The prediction accuracy has been evaluated using three neural network training algorithms (Trainlm, Traincgf, Trainrp) using the RMSE (Root Mean Square Error) and MAPE (Mean Absolute Percent Error) as predictive accuracy measure.

scholarly journals Modeling Advertising Carryover in Fluid Milk: Comparison of Alternative Lag Specifications

1993 ◽  
Vol 22 (1) ◽  
pp. 10-19 ◽  
Author(s):  
Meenakshi Venkateswaran ◽  
Henry W. Kinnucan ◽  
Hui-Shung Chang
Keyword(s):  
New York ◽  
New York City ◽  
Mean Square Error ◽  
Root Mean Square ◽  
York City ◽  
Mean Square ◽  
Market Data ◽  
Percent Error ◽  
Milk Market ◽  
Fluid Milk

The performance of restricted estimators such as Almon and Shiller in modeling advertising carryover is tested and compared to the unrestricted OLS estimator, using 1971–1988 monthly New York City fluid milk market data. Results indicate that in the absence of autocorrelation and multicollinearity among the lagged advertising variables, the unrestricted OLS estimator is still the preferred estimator, based on Mean Square Error and Root Mean Square Percent Error criteria. In this case, the Almon and Shiller estimators perform equally well, although next only to the OLS estimator. In the presence of autocorrelation or multicollinearity however, the restricted estimators may outperform the OLS estimator, in a MSE sense, with the flexible Shiller estimator (which subsumes the Almon) being more desirable.

Seasonal glacier surface velocity fluctuation and contribution of the Eastern and Western Tributary Glaciers in Amery Ice Shelf, East Antarctica

2019 ◽  
Vol 9 (1) ◽  
pp. 49-60
Author(s):  
Shridhar Digambar Jawak ◽  
Shubhang Kumar ◽  
Alvarinho Joaozinho Luis ◽  
Prashant Hemendra Pandit ◽  
Sagar Filipe Wankhede
Keyword(s):  
Remote Sensing ◽  
Root Mean Square ◽  
Winter Season ◽  
Maximum Velocity ◽  
Surface Velocity ◽  
Mean Square ◽  
Ice Shelf ◽  
Amery Ice Shelf ◽  
Rms Error ◽  
Western Side

Glaciers play a crucial role in the study of the climate change pattern of the Earth. Remote sensing with access to large archives of data has the ability to monitor glaciers frequently throughout the year. Therefore, remote sensing is the most beneficial tool for the study of glacier dynamics. Fed by many tributaries from different sides, the Amery Ice Shelf (AIS) is one of the largest ice shelves that drains ice from the Antarctic ice sheet into the Southern Ocean. This study focuses on the eastern and the western tributaries of the AIS. The primary objective of the study was to derive the velocity of the tributary glaciers and the secondary objective was to compare variations in their velocities between the summer and winter season. This study was carried on using the European Space Agency’s (ESA) Sentinel-1 satellite’s Synthetic Aperture Radar (SAR) data acquired from the Sentinel data portal. Offset tracking method was applied to the Ground Range Detected (GRD) product of the Sentinel-1 interferometric wide (IW) swath acquisition mode. The maximum velocity in summer was observed to be around 610 m/yr in the eastern tributary glacier meeting the ice shelf near the Pickering Nunatak, and around 345 m/yr in the Charybdis Glacier Basin from the western side. The maximum velocity in the winter was observed to be 553 m/yr in the eastern side near the Pickering Nunatak whereas 323 m/yr from the western side in the Charybdis Glacier Basin. The accuracy of the derived glacier velocities was computed using bias and root mean square (RMS) error. For the analysis, the publicly available velocity datasets were used. The accuracy based on RMS error was observed to be 85-90% for both seasons with bias values up to 25 m/yr and root mean square error values up to 30 m/yr.

scholarly journals Integrated Model for Water, Food, Energy and Human Development

10.29007/46pc ◽  
2018 ◽  
Author(s):  
Korinus Nixon Waimbo ◽  
Dragan Savic ◽  
Fayyaz Ali Memon
Keyword(s):  
Human Development ◽  
Root Mean Square ◽  
Food Systems ◽  
Behaviour Pattern ◽  
Test Model ◽  
Mean Square ◽  
Actual System ◽  
Food Energy ◽  
Percent Error ◽  
The Impact

Water, energy and food are basic needs crucial to human survival but also pervade many aspects of human development. Systemically, they are vastly interdependent. A system dynamics model comprises five modules, namely water, food, energy, demographic, and human development, is being constructed. The aim is to evaluate the dynamics behaviour of water, energy and food systems and their linkages to human development at national scale. The model was simulated on annual basis from the year 1990 to 2015. It was then tested against national historical data of Indonesia. Analysis of error using mean-square error, root mean square percent error, and Theil inequality statistics were performed to test model behaviour. Preliminary results show that most of the variables such as total population, income per capita, human development index, and sectoral water demands have root mean square percent error below 10% that indicate the model produces similar behaviour pattern to the actual system. As part of the future work, once the model is fully constructed, it will be applied to assess the impact of a range of policy scenarios and implications on the water, energy and food sectors and on human development in Indonesia.

Achieving Heat Flux Uniformity Using an Optimal Arrangement of Impinging Jet Arrays

2015 ◽  
Vol 137 (6) ◽  
Author(s):  
M. Forouzanmehr ◽  
H. Shariatmadar ◽  
F. Kowsary ◽  
M. Ashjaee
Keyword(s):  
Heat Flux ◽  
Nusselt Number ◽  
Objective Function ◽  
Uniform Distribution ◽  
Root Mean Square ◽  
Local Nusselt Number ◽  
Target Surface ◽  
Mean Square ◽  
Optimal Arrangement ◽  
Design Variables

In order to achieve uniform distribution of heat flux over an isothermal heated target surface, a numerical algorithm is developed to obtain an optimized array of four laminar impinging slot jets. Root mean square deviation of the local Nusselt distribution from the desired Nusselt number is considered as the objective function. Jets' widths, jet-to-jet and jet-to-surface spacings, and the overall flow rate are chosen as design variables. Conjugate gradients method along with backtracking line search is applied to optimize the objective function calculated by numerical simulation for three different cases of Nu = 7, 9, and 11. For each of these desired Nusselt numbers, an almost uniform distribution of local Nusselt number with percent of root mean square error less than 2.5% is achieved in fewer than 12 iterations. An experimental study using a Mach–Zehnder interferometer (MZI) has been performed. The measured distribution of local Nusselt number is in good agreement with numerical results in all three optimal configurations.

scholarly journals Numerical Quantification of Controllability in the Null Space for Redundant Manipulators

2021 ◽  
Vol 11 (13) ◽  
pp. 6190
Author(s):  
Seonwoo Kim ◽  
Seongseop Yun ◽  
Dongjun Shin
Keyword(s):  
Root Mean Square ◽  
Null Space ◽  
Robotic Manipulators ◽  
Robotic Arm ◽  
Redundant Manipulators ◽  
Mean Square ◽  
Wide Range ◽  
Sinusoidal Input ◽  
Space Projection ◽  
Rms Error

Redundant motion, which is possible when robotic manipulators are over-actuated, can be used to control robot arms for a wide range of tasks. One of the best known methods for controlling redundancy is the null space projection, which assigns a priority while executing desired tasks. However, when the manipulator is projected into null space, its motion would be limited, since the motion is only permitted in the direction that does not interfere with the primary task. In this study, we have analyzed the null space projector matrix to derive the appropriate direction of the redundant motion by quantifying the allowed motion in each direction. As a result, we have found an ellipsoidal boundary, in which the redundant motion is permitted to move. We have named this ellipsoidal boundary as ’null space quality’ in directions. The proposed null space quality shows similar aspects with that of the robot manipulability, but it reveals a decisively different value when the manipulator operates within the null space. The experimental results showed that the robotic manipulator tracked the sinusoidal input trajectory with reduced root mean square (RMS) error by 33.84%. Furthermore, we have demonstrated the obstacle avoidance of a robotic arm utilizing the null space projector while considering the null space quality.

Metaheuristic data fitting methods to estimate Weibull parameters for wind speed data: a case study of Hasan Polatkan Airport

2021 ◽  
pp. 1-33
Author(s):  
A. Kaba ◽  
A. E. Suzer
Keyword(s):  
Wind Speed ◽  
Numerical Methods ◽  
Root Mean Square Error ◽  
Objective Function ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Statistical Tests ◽  
Mean Square ◽  
Flight Delays

ABSTRACT Flight delays may be decreased in a predictable way if the Weibull wind speed parameters of a runway, which are an important aspect of safety during the take-off and landing phases of aircraft, can be determined. One aim of this work is to determine the wind profile of Hasan Polatkan Airport (HPA) as a case study. Numerical methods for Weibull parameter determination perform better when the average wind speed estimation is the main objective. In this paper, a novel objective function that minimises the root-mean-square error by employing the cumulative distribution function is proposed based on the genetic algorithm and particle swarm optimisation. The results are compared with well-known numerical methods, such as maximum-likelihood estimation, the empirical method, the graphical method and the equivalent energy method, as well as the available objective function. Various statistical tests in the literature are applied, such as R2, Root-Mean-Square Error (RMSE) and $\chi$ 2. In addition, the Mean Absolute Error (MAE) and total elapsed time calculated using the algorithms are compared. According to the results of the statistical tests, the proposed methods outperform others, achieving scores as high as 0.9789 and 0.9996 for the R2 test, as low as 0.0058 and 0.0057 for the RMSE test, 0.0036 and 0.0045 for the MAE test and 3.53 × 10−5 and 3.50 × 10−5 for the $\chi$ 2 test. In addition, the determination of the wind speed characteristics at HPA show that low wind speed characteristics and regimes throughout the year offer safer take-off and landing schedules for target aircraft. The principle aim of this paper is to help establish the correct orientation of new runways at HPA and maximise the capacity of the airport by minimising flight delays, which represent a significant impediment to air traffic flow.

scholarly journals Maximum Likelihood Position Location with a Limited Number of

2011 ◽  
Vol 9 (01) ◽  
Author(s):  
D. Munoz-Rodriguez ◽  
L. Suarez-Robles ◽  
C. Vargas-Rosales ◽  
J. R. Rodriguez-Cruz
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Root Mean Square ◽  
Likelihood Estimation ◽  
Error Distribution ◽  
Location Information ◽  
Mean Square ◽  
Position Location ◽  
Rms Error ◽  
Simulation Results

A Position Location (PL) scheme for mobile users on the outskirts of coverage areas is presented. The proposed methodology makes it possible to obtain location information with only two land-fixed references. We introduce a¨general formulation and show that maximum-likelihood estimation can provide adequate PL information in this scenario. The Root Mean Square (RMS) error and error-distribution characterization are obtained for different propagation scenarios. In addition, simulation results and comparisons to another method are provided showing the accuracy and the robustness of the method proposed. We study accuracy limits of the proposed methodology for different propagation environments and show that even in the case of mismatch in the error variances, good PL estimation is feasible.

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