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Journal articles on the topic 'Average error percentage'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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1

Hayashi, Akiko, Yoshio Imai, Akira Katono, et al. "Percentage average error of tube voltage and X-ray output." Japanese Journal of Radiological Technology 51, no. 8 (1995): 1158. http://dx.doi.org/10.6009/jjrt.kj00001352733.

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Manik, Simson, Abdul Muis Muslimin, and Aries A. Subgan. "PERANCANGAN ALAT UKUR INTENSITAS CAHAYA BERBASIS ARDUINO LEONARDO MENGGUNAKAN SENSOR LDR (Light Dependent Resistor)." Jurnal Natural 16, no. 1 (2020): 1–13. http://dx.doi.org/10.30862/jn.v16i1.46.

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Lux meter is a device used to measure the intensity of light in an area. The purpose of this thesis is to design a light intensity measuring device using LDR components as a light sensor, comparing light intensity measuring devices made using LDR sensors and Arduino Leonardo based microcontrollers with standard tools. The data used in this study are primary data. The data obtained is then processed using MS. Excel. The type of light bulbs used are Philips CFL (Philips Essential) lamps, each lamp having a power of 5, 8, 11, 14, 18, 23, 27, 32, 35, and 50 watts with a luxmeter vertical distance

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Johnstone, Dylan, Krista Nordback, and Sirisha Kothuri. "Annual Average Nonmotorized Traffic Estimates from Manual Counts: Quantifying Error." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 43 (2018): 134–44. http://dx.doi.org/10.1177/0361198118792338.

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Across the United States, jurisdictions are investing more in bicycle and pedestrian infrastructure, which can benefit from nonmotorized traffic volume data. The design of nonmotorized counting programs varies. Whereas some agencies use automated counters to collect continuous and short duration counts, the most common type of bicycle and pedestrian counting is manual counting either in the field or from video. The objective of this research is to identify the optimal times of day to conduct manual counts for the purposes of accurately estimating annual average daily nonmotorized traffic (AADN

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Putro, Mohamad Tri Azis Budi Cahyono. "IMPLEMENTATION OF DISTRIBUTED AVERAGE CONSENSUS METHOD ON WIRELESS SENSOR NETWORK FOR MONITORING TEMPERATURE AND HUMIDITY IN SWITCHGEAR ROOM." INAJEEE Indonesian Journal of Electrical and Eletronics Engineering 4, no. 1 (2021): 12. http://dx.doi.org/10.26740/inajeee.v4n1.p12-15.

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The development of wireless sensor networks is currently very rapid in various sectors. One of the implementations of the wireless sensor network is for monitoring temperature and humidity. In monitoring a room or a large area, many nodes are installed at a certain point. With the number of senses by each node so that one data that can represent the area is needed. To get one data that can represent the data in that area, we need a consensus method. In this study, the average distributed consensus method was used to obtain data representation from an area's wireless sensor network. After testi

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Prapcoyo, Hari. "PERAMALAN JUMLAH MAHASISWA MENGGUNAKAN MOVING AVERAGE." Telematika 15, no. 1 (2018): 67. http://dx.doi.org/10.31315/telematika.v15i1.3069.

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AbstractThe Process of using resources in higher education is influenced by the up and down of the number students. The purpose of this study is to predict the number of students who study in the department of informatics engineering UPN Veteran Yogyakarta for the next periods. This research, data is taken from forlap dikti for Informatics Engineering fom 2009 until 2016 at UPN Veteran Yogyakarta. The method that used to forecast the number of students is a Moving Average method consisting of: Single Moving Average (SMA), Weighted Moving Average (WMA) and Exponential Moving Average (EMA). This

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Watson, Linda, Siwei Qi, Andrea Deiure, et al. "Predicting symptom complexity: Using autoregressive integrated moving average (ARIMA) models to create responsive clinic scheduling." Journal of Clinical Oncology 39, no. 15_suppl (2021): e13529-e13529. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.e13529.

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e13529 Background: Increasing cancer incidence, coupled with a trend in treating patients for longer periods of time, presents challenges in addressing all patients’ symptoms/concerns within the allotted time for ambulatory clinic appointments. Consequently, the ability to forecast and monitor the percentage of cancer patients with different symptom complexity levels is extremely valuable. Symptom complexity is a summary score that weighs the severity of all patient reported symptom scores at one time point. If a clinic could predict how many patients may need more time due to complex symptom

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Pathak, Sunil, and Neelesh Kumar Jain. "Performance of pulsed-electrochemical honing and pulsed-electrochemical finishing in improving quality of bevel gears." Manufacturing Review 5 (2018): 14. http://dx.doi.org/10.1051/mfreview/2018012.

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This article presents a comparative study concerning performance of pulsed-electrochemical honing (PECH) and pulsed-electrochemical finishing (PECF) in straight bevel gear finishing. Performance of these processes were compared in terms of average percentage difference in the considered parameters of surface features of bevel gear namely average percentage differences in average surface roughness ‘PDRa’, maximum surface roughness ‘PDRmax’ and depth of surface roughness ‘PDRz’, micro-geometry (i.e. average percentage differences in single pitch error ‘PDfp’, adjacent pitch error ‘PDfu’, cumulat

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Alam, S. M. Mahfuz, and Mohd Hasan Ali. "Equation Based New Methods for Residential Load Forecasting." Energies 13, no. 23 (2020): 6378. http://dx.doi.org/10.3390/en13236378.

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This work proposes two non-linear and one linear equation-based system for residential load forecasting considering heating degree days, cooling degree days, occupancy, and day type, which are applicable to any residential building with small sets of smart meter data. The coefficients of the proposed nonlinear and linear equations are tuned by particle swarm optimization (PSO) and the multiple linear regression method, respectively. For the purpose of comparison, a subtractive clustering based adaptive neuro fuzzy inference system (ANFIS), random forests, gradient boosting trees, and long-term

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Utomo, A. P., K. Yuana, E. Narulita, K. Fikri, and B. Wahono. "Students’ Errors in Solving Science Reasoning-Domain of Trends in International Mathematics and Science Study (TIMSS)." Jurnal Pendidikan IPA Indonesia 7, no. 1 (2018): 48–53. http://dx.doi.org/10.15294/jpii.v7i1.11352.

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This research aims to identify the errors of students’ answers in solving the TIMSS cognitive domain of reasoning. This research was a qualitative descriptive research. A total 259 students from four secondary schools located in rural and urban areas in Jember, East Java participated in a paper and pencil test. Error identification was examined by reducing the result of wrong students’ answer and grouping based on error type of general errors. The results showed that the average percentage of total errors from the four schools were contradicting error of 7.3%, disregarding evidence error of 5.

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Sumari, Arwin Datumaya Wahyudi, Dimas Rossiawan Hendra Putra, Muhammad Bisri Musthofa, and Ngat Mari. "Pandemic dynamics prediction in Java using the Moving Average method and the Knowledge Growing System (KGS)." Jurnal Teknologi dan Sistem Komputer 9, no. 1 (2020): 31–40. http://dx.doi.org/10.14710/jtsiskom.2020.13779.

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This study aims to analyze the comparative performance of pandemic dynamics prediction methods on the island of Java, based on data from March to May 2020 covering the provinces of DKI Jakarta, West Java, Central Java, DI Yogyakarta, and East Java. The prediction uses Knowledge Growing System (KGS) and time series models, namely Single Moving Average (SMA) and Exponential Moving Average (EMA). Based on the Mean Absolute Percentage Error (MAPE) computational results, the EMA method produces a lower error rate than the SMA method with 47.94 % on average. The KGS prediction with a Degree of Certa

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Fasikh, Mukhlasul. "mk THE ERROR ANALYSIS OF REGULAR AND IRREGULAR VERBS IN THE SIMPLE PAST TENSE." Journal of English Language and Literature (JELL) 5, no. 01 (2020): 75–88. http://dx.doi.org/10.37110/jell.v5i01.97.

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This study aims to identify how many average students who are able to understand the use of regular and irregular verbs and to find out how many percentages of errors in using regular and irregular verbs and also to find out the source of error in using regular and irregular verb and also to make teaching and learning activities more effective and efficient. This research is descriptive research method. The Writer uses the questioners to collect the data. Students answer the questions and choose the best respond to complete the affirmative, negative, and interrogative sentences. The writer fin

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Siregar, M. Tirtana, S. Pandiangan, and Dian Anwar. "Planning Production Capacity Using Time Series Forecasting Method and Linier Programming." Engineering Management Research 7, no. 2 (2018): 20. http://dx.doi.org/10.5539/emr.v7n2p20.

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The objectives of this research is to determine the amount of production planning capacity sow talc products in the future utilizing previous data from january to december in year 2017. This researched considered three forecasting method, there are Weight Moving Average (WMA), Moving Average (MA), and Exponential Smoothing (ES). After calculating the methods, then measuring the error value using a control chart of 3 (three) of these methods. After find the best forecasting method, then do linear programming method to obtain the exact amount of production in further. Based on the data calculate

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Anderson, Nicholas Todd, Kerry Brian Walsh, Anand Koirala, et al. "Estimation of Fruit Load in Australian Mango Orchards Using Machine Vision." Agronomy 11, no. 9 (2021): 1711. http://dx.doi.org/10.3390/agronomy11091711.

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The performance of a multi-view machine vision method was documented at an orchard level, relative to packhouse count. High repeatability was achieved in night-time imaging, with an absolute percentage error of 2% or less. Canopy architecture impacted performance, with reasonable estimates achieved on hedge, single leader and conventional systems (3.4, 5.0, and 8.2 average percentage error, respectively) while fruit load of trellised orchards was over-estimated (at 25.2 average percentage error). Yield estimations were made for multiple orchards via: (i) human count of fruit load on ~5% of tre

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Prasad, Ashly Leena, and Santhi Thirumalisamy. "Evaluation of the Use ofAcacia niloticaLeaf as an Ecofriendly Adsorbent for Cr (VI) and Its Suitability in Real Waste Water: Study of Residual Errors." Journal of Chemistry 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/354328.

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The present paper aims to investigate the physical characteristics ofAcacia niloticaleaves (MVM) relative to their use as an adsorbent for removal of hazardous Cr (VI) from waste water. The adsorbent was characterized by FTIR and SEM studies. The applicability of the Langmuir model to MVM was proved by the high coefficient of determination. Eight error analysis methods, namely, residual root mean square error (RMSE), chi-square (χ2), sum of the square of the errors (ERRSQ), composite functional error (HYBRD), derivative of Marquardt's percent standard deviation (MPSD), average relative error (

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Meng, Ming, Wei Shang, and Dongxiao Niu. "Monthly Electric Energy Consumption Forecasting Using Multiwindow Moving Average and Hybrid Growth Models." Journal of Applied Mathematics 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/243171.

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Monthly electric energy consumption forecasting is important for electricity production planning and electric power engineering decision making. Multiwindow moving average algorithm is proposed to decompose the monthly electric energy consumption time series into several periodic waves and a long-term approximately exponential increasing trend. Radial basis function (RBF) artificial neural network (ANN) models are used to forecast the extracted periodic waves. A novel hybrid growth model, which includes a constant term, a linear term, and an exponential term, is proposed to forecast the extrac

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Castillo Estrada, Ma del Rocío, Marco Edgar Gómez Camarillo, Fernando Pérez Villaseñor, Arturo Elías Domínguez, and M. Javier Cruz Gómez. "Assessment of the Sales Forecast Technique Double-Weighted Moving Average vs Other Widely Used Forecasting Techniques." International Journal of Business Administration 11, no. 2 (2020): 39. http://dx.doi.org/10.5430/ijba.v11n2p39.

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In order to improve the operations planning of two companies, whose main business is to be chemical products suppliers in Mexico, it was made the sales forecast of a fourth year of operations, using the monthly sales data information of the three previous years. The objective of the chemical suppliers forecast was to be in a better position to satisfy the multiple and varied needs of their clients, which demand different quantities of products and have different consumption patterns. The sales forecast was made by the next six techniques: Simple Moving Average (SMA), Weighted Moving Average (W

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Florencia, Sherly, and Alethea Suryadibrata. "Prediksi Kedatangan Turis Menggunakan Algoritma Weighted Exponential Moving Average." Ultimatics : Jurnal Teknik Informatika 12, no. 2 (2020): 129–32. http://dx.doi.org/10.31937/ti.v12i2.1831.

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Tourism is an important factor for the development of a country. Tourism can be used as a promotion to introduce natural beauty and cultural uniqueness. Government needs to predict how many tourists will come every year to do a planning. Therefore, an application is needed to help to predict the arrival of tourists in each country. In this paper, we use Weighted Exponential Moving Average (WEMA) method to predict the arrival of tourist, tourism expenditure in the country, and departure using data from 2008 to 2018. Error measurement is calculated using the Mean Absolute Percentage Error (MAPE)

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Rahutomo, Faisal, Trisna Ari Roshinta, Erfan Rohadi, et al. "Open Problems in Indonesian Automatic Essay Scoring System." International Journal of Engineering & Technology 7, no. 4.44 (2018): 156. http://dx.doi.org/10.14419/ijet.v7i4.44.26974.

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This paper presents open problems in Indonesian Scoring System. The previous study exposes the comparison of several similarity metrics on automated essay scoring in Indonesian. The metrics are Cosine Similarity, Euclidean Distance, and Jaccard. The data being used in the research are about 2,000 texts. This data are obtained from 50 students who answered 40 questions on politics, sports, lifestyle, and technology. The study also evaluates the stemming approach for the system performance. The difference between all methods between using stemming or not is around 4-9%. The results show Jaccard

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Chen, Chen-Peng, Chan-Cheng Chen, and Hsu-Fang Chen. "Predicting Flash Point of Organosilicon Compounds Using Quantitative Structure Activity Relationship Approach." Journal of Chemistry 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/482341.

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The flash point (FP) of a compound is the primary property used in the assessment of fire hazards for flammable liquids and is amongst the crucial information that people handling flammable liquids must possess as far as industrial safety is concerned. In this work, the FPs of 236 organosilicon compounds were collected and used to construct a quantitative structure activity relationship (QSAR) model for predicting their FPs. The CODESSA PRO software was adopted to calculate the required molecular descriptors, and 350 molecular descriptors were developed for each compound. A modified stepwise r

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Feng, Shuaizhang, and Yingyao Hu. "Misclassification Errors and the Underestimation of the US Unemployment Rate." American Economic Review 103, no. 2 (2013): 1054–70. http://dx.doi.org/10.1257/aer.103.2.1054.

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Using recent results in the measurement error literature, we show that the official US unemployment rate substantially underestimates the true level of unemployment, due to misclassification errors in the labor force status in the Current Population Survey. During the period from January 1996 to August 2011, the corrected monthly unemployment rates are between 1 and 4.4 percentage points (2.1 percentage points on average) higher than the official rates, and are more sensitive to changes in business cycles. The labor force participation rates, however, are not affected by this correction.

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Hajjah, Alyauma, and Yulvia Nora Marlim. "Analisis Error Terhadap Peramalan Data Penjualan." Techno.Com 20, no. 1 (2021): 1–9. http://dx.doi.org/10.33633/tc.v20i1.4054.

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Tujuan penelitian ini membahas tentang peramalan permintaan lampu LED bermerk Sanyo. Penelitian ini menggunakan metode Moving Average dan Exponential Smoothing. Pada Metode Moving Average digunakan untuk peramalan periode 3 bulan dan 5 bulan, sedangkan metode Exponential Smoothing menggunakan parameter = 0,1; 0,5; 0,7 dan 0,9. Dari hasil peramalan setiap metode dibandingkan nilai dari error, adapun nilai error yang dibahas adalah Mean Absolut Deviation (MAD), Mean Squared Error (MSE), dan Mean Absolute Percentage Error (MAPE). Berdasarkan hasil penelitian ini metode yang memiliki tingkat kesal

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Vígh, Z., P. Gyovai, L. Csató, et al. "Effect of inbreeding on lean meat percentage and average daily gain in Hungarian Landrace pigs." Archives Animal Breeding 51, no. 6 (2008): 541–48. http://dx.doi.org/10.5194/aab-51-541-2008.

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Abstract. Pedigree and field test data – collected between 1994–2005 – were analyzed in a group of 132,548 Hungarian Landrace pigs. The analysed traits were average daily gain (ADG) and lean meat percentage (LMP). In the present study inbreeding coefficients, pedigree completeness (complete generation equivalents) and inbreeding depression for ADG and LMP were estimated. Increasing the number of generations that were considered in the pedigree the estimated inbreeding coefficients did not change after the 5th generation, but pedigree completeness was continuously increased. The estimated inbre

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Strauss, Mark, and James Carnahan. "Distance Estimation Error in a Roadway Setting." Police Journal: Theory, Practice and Principles 82, no. 3 (2009): 247–64. http://dx.doi.org/10.1350/pojo.2009.82.3.458.

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The purpose of this study was to determine the accuracy of the typical adult's ability to view, then estimate, distances along a roadway. A survey was conducted along a roadway, where 123 subjects were asked to look at, and then estimate the distance to common objects along the roadway. The entire population tended to underestimate distances to objects that were from 20 to 400 feet away. After none outliers were identified and removed, the average estimation error was –23.4%. The variation in performance among individuals was extremely large, with error extremes ranging from –96% to +71%. An a

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Chen, Hai Jun, Xi Juan Lou, and Jie Liu. "Modelling GM(1,1) under the Criterion of the Minimization of Mean Absolute Percentage Error." Advanced Materials Research 457-458 (January 2012): 1447–56. http://dx.doi.org/10.4028/www.scientific.net/amr.457-458.1447.

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In this paper, we present two methods to estimate the parameters of the GM (1,1)model under. The criterion of the minimization of mean absolute percentage error (MAPE) (some authors called Average relative error).A linear programming method is used to optimize the whiting value of grey derivative of GM(1,1),four published articles are chosen for practical tests of this method, the results show that this method can obviously improve the simulation accuracy. Another method is that the problem of estimation parameters of GM(1,1) model is transformed into the minimax optimization problem, then use

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Subandowo, Dedy, Eva Faliyanti, and Yuli Triatmi. "Textual Error Meaning in English to Indonesian Translation of EFL Class." JET ADI BUANA 4, no. 1 (2019): 49–61. http://dx.doi.org/10.36456/j.v4i1.1884.

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This research addresses on textual error meaning of English to Indonesian translation in EFL class. This study is aimed to describe the frequency of error distribution and to investigate the dominant errors made by students in English to Indonesian Translation. The subject of this research is the fourth-semester English education students at the Muhammadiyah University of Metro. There are 37 students used as the total sampling technique to get the sample. To collect the data, the writer used a test as the instrument, i.e. an essay test. The collected data are analyzed by means of error analysi

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Subandowo, Dedy, Eva Faliyanti, and Yuli Triatmi. "Textual Error Meaning in English to Indonesian Translation of EFL Class." JET ADI BUANA 4, no. 1 (2019): 49–61. http://dx.doi.org/10.36456/jet.v4.n1.2019.1884.

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This research addresses on textual error meaning of English to Indonesian translation in EFL class. This study is aimed to describe the frequency of error distribution and to investigate the dominant errors made by students in English to Indonesian Translation. The subject of this research is the fourth-semester English education students at the Muhammadiyah University of Metro. There are 37 students used as the total sampling technique to get the sample. To collect the data, the writer used a test as the instrument, i.e. an essay test. The collected data are analyzed by means of error analysi

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Balli, Ozgur, Haydar Aras, Nil Aras, and Arif Hepbasli. "Estimating and Statistically Analyzing the Global Solar Radiation Potential over Big Cities in Turkey." Energy Exploration & Exploitation 25, no. 4 (2007): 301–11. http://dx.doi.org/10.1260/014459807783129895.

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This study develops empirical models in order to estimate the monthly average daily global solar radiation on a horizontal surface (H). The seven big cities considered in the model have 33.4% of Turkey's population and are as follows: Izmir in the Aegean Sea, Samsun in the Black Sea, Ankara in the Central Anatolia, Van in the East Anatolia, Istanbul in the Marmara, Antalya in the Mediterranen Sea, and Urfa in the Southeast Anatolia Region of Turkey. The developed models were analyzed using the seven statistical analyzing methods such as the mean percentage error (MPE), mean absulate percentage

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Makatjane, Katleho Daniel, Edward Kagiso Molefe, and Roscoe Bertrum Van Wyk. "The Analysis of the 2008 US Financial Crisis: An Intervention Approach." Journal of Economics and Behavioral Studies 10, no. 1(J) (2018): 59–68. http://dx.doi.org/10.22610/jebs.v10i1(j).2089.

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The current study investigates the impact of the 2008 US financial crises on the real exchange rate in South Africa. The data used in this empirical analysis is for the period from January 2000 to June 2017. The Seasonal autoregressive integrated moving average (SARIMA) intervention charter was used to carry out the analysis. Results revealed that the financial crises period in South Africa occurred in March 2008 and significantly affected the exchange rate. Hence, the impact pattern was abrupt. Using the SARIMA model as a benchmark, four error metrics; to be precise mean absolute error (MAE),

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Makatjane, Katleho Daniel, Edward Kagiso Molefe, and Roscoe Bertrum Van Wyk. "The Analysis of the 2008 US Financial Crisis: An Intervention Approach." Journal of Economics and Behavioral Studies 10, no. 1 (2018): 59. http://dx.doi.org/10.22610/jebs.v10i1.2089.

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The current study investigates the impact of the 2008 US financial crises on the real exchange rate in South Africa. The data used in this empirical analysis is for the period from January 2000 to June 2017. The Seasonal autoregressive integrated moving average (SARIMA) intervention charter was used to carry out the analysis. Results revealed that the financial crises period in South Africa occurred in March 2008 and significantly affected the exchange rate. Hence, the impact pattern was abrupt. Using the SARIMA model as a benchmark, four error metrics; to be precise mean absolute error (MAE),

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Mauntel, Timothy C., Darin A. Padua, Laura E. Stanley, et al. "Automated Quantification of the Landing Error Scoring System With a Markerless Motion-Capture System." Journal of Athletic Training 52, no. 11 (2017): 1002–9. http://dx.doi.org/10.4085/1062-6050-52.10.12.

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Context: The Landing Error Scoring System (LESS) can be used to identify individuals with an elevated risk of lower extremity injury. The limitation of the LESS is that raters identify movement errors from video replay, which is time-consuming and, therefore, may limit its use by clinicians. A markerless motion-capture system may be capable of automating LESS scoring, thereby removing this obstacle. Objective: To determine the reliability of an automated markerless motion-capture system for scoring the LESS. Design: Cross-sectional study. Setting: United States Military Academy. Patients or Ot

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Arumsari, Melisa, Sri Wahyuningsih, and Meiliyani Siringoringo. "Inflation Forecasting for East Kalimantan Province Using Hybrid Singular Spectrum Analysis- Autoregressive Integrated Moving Average Model." Jurnal Matematika, Statistika dan Komputasi 18, no. 1 (2021): 78–92. http://dx.doi.org/10.20956/j.v18i1.14284.

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The Singular Spectrum Analysis (SSA)-Autoregressive Integrated Moving Average (ARIMA) hybrid method is a good combination of forecasting methods to improve forecasting accuracy and is suitable for economic data that tends to have trend and seasonal patterns, one of which is inflation data. The purpose of this study is to obtain the results of inflation forecasting for East Kalimantan Province in 2021 using the SSA-ARIMA hybrid model. The results of the inflation forecasting for East Kalimantan Province in 2021 using the SSA-ARIMA(1,1,1) hybrid model overall experienced an increase and the high

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DWIVEDI, VIJAY KUMAR, PRIYANKA SHARMA, and DIPAK KUMAR. "MODELING AND MULTI-OBJECTIVE OPTIMIZATION FOR APSed THERMAL BARRIER COATINGS ON IN718." Surface Review and Letters 28, no. 06 (2021): 2150040. http://dx.doi.org/10.1142/s0218625x21500402.

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Experimental results based on [Formula: see text] orthogonal arrays (OAs) of Air Plasma Spraying (APS) parameters for deposition of thermal barrier coatings (TBCs) onto bond coated Inconel 718 (IN718) superalloys were used for mathematical models, using artificial neural network (ANN), for hardness and roughness. Thereafter, it was optimized from ANN-coupling Genetic Algorithm (GA). The developed ANN-based models showed optimal level of responses as 6.61 and 1209.8, for roughness and hardness, respectively. The average percentage prediction error (APPE)/mean error percentage (MEP) and root mea

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Corazza, M., E. Kalnay, D. J. Patil, et al. "Use of the breeding technique to estimate the structure of the analysis "errors of the day"." Nonlinear Processes in Geophysics 10, no. 3 (2003): 233–43. http://dx.doi.org/10.5194/npg-10-233-2003.

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Abstract. A 3D-variational data assimilation scheme for a quasi-geostrophic channel model (Morss, 1998) is used to study the structure of the background error and its relationship to the corresponding bred vectors. The "true" evolution of the model atmosphere is defined by an integration of the model and "rawinsonde observations" are simulated by randomly perturbing the true state at fixed locations. Case studies using different observational densities are considered to compare the evolution of the Bred Vectors to the spatial structure of the background error. In addition, the bred vector dime

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Wu, Yuli, and Rui Li. "Selection and Evaluation of influencing Parameters for Heat Load Forecasting Model." E3S Web of Conferences 252 (2021): 03027. http://dx.doi.org/10.1051/e3sconf/202125203027.

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This paper analyses the factors affecting the heating consumption of a heating substation. The input parameters of neural network prediction model are analysed and selected. The average absolute error, average absolute percentage error, and mean square error are used to evaluate the effect of the prediction model. The results show that when the model input parameters are the maximum outdoor temperature, the average outdoor temperature, the average temperature difference between the primary supply and return of domestic hot water, the heating load in the previous three days, the heating load in

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Jana, Padrul. "Aplikasi Triple Exponential Smoothing Untuk Forecasting Jumlah Penduduk Miskin." Jurnal Derivat: Jurnal Matematika dan Pendidikan Matematika 3, no. 2 (2020): 76–82. http://dx.doi.org/10.31316/j.derivat.v3i2.719.

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This study aims to predict the number of poor in Indonesia for the next few years using a triple exponential smoothing method.The purpose of this research is the result of the forecast number of poor people in Indonesia accurate forecast results are used as an alternative data the government for consideration of government to determine the direction of national poverty reduction policies. This research includes the study of literature research, by applying the theory of forecasting to generate predictions of poor people for coming year. Furthermore, analyzing the mistakes of the methods used i

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Grigg, Laurie D., James Feiccabrino, and Frederick Sherenco. "Testing the applicability of physiographic classification methods toward improving precipitation phase determination in conceptual models." Hydrology Research 51, no. 2 (2020): 169–79. http://dx.doi.org/10.2166/nh.2020.081.

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Abstract Regions with a large percentage of precipitation occurring near freezing experience high percentages (&gt;10%) of misclassified precipitation events (rain versus snow) and necessitate efforts to improve precipitation phase determination schemes through the use of more accurate surface air temperature thresholds (Trs). Meteorological data from 169 sites in Scandinavia were used to test the applicability of using physiographic categories to determine Trs. Three classification methods involving varying degrees of automation were evaluated. The two automated methods tested did not per

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Rahutomo, Faisal, Dimas Rossiawan Hendra Putra, M. Bisri Musthofa, and Ngat Mari. "Indonesia Democracy Index (IDI) Forecasting in 2019 using Moving Average and Correlation Between IDI's Aspect Using Pearson Correlation Coefficient." Journal of Electrical, Electronic, Information, and Communication Technology 2, no. 2 (2020): 36. http://dx.doi.org/10.20961/jeeict.2.2.41361.

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<p class="Abstract"><em>Abstract</em>—This experiment aims to analyze the forecasting of the Indonesian Democracy Index (IDI) in 2019, which uses each province data by the Moving Average method. The parameters used in this experiment refer to data obtained from the Central Statistics Agency (BPS) in 2009-2018. The level of achievement of IDI is measured based on the development and implementation of 3 aspects, 11 variables, and 28 indicators. Experiment purposes to find the average percentage of absolute error MAPE (Mean Absolute Percentage Error) for each province and looks

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Kusbianto, Deddy, Agung Pramudhita, and Nurhalimah. "PERBANDINGAN METODE FTS DAN MA PADA PERAMALAN PERSEDIAAN BERAS." Jurnal Informatika Polinema 6, no. 3 (2020): 29–36. http://dx.doi.org/10.33795/jip.v6i3.314.

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Dalam memenuhi kebutuhan masyarakat Kabupaten Malang dan menjaga stabilitas ketersediaan beras pemerintah setempat perlu melakukan proses peramalan. Dimana dalam melakukan proses peramalan menggunakan metode peramalan, salah satunya dengan menggunakan metode Fuzzy Time Series dan Moving Average yaitu dengan menangkap pola dari data yang telah lalu kemudian digunakan untuk memproyeksikan data yang akan da¬¬tang. Dari hasil implementasi dua metode tersebut menghasilkan perbandingan jumlah persediaan beras. hasil perbandingan tersebut akan dipakai untuk mengukur tingkat error dari masing – masing

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D, Desi Fransiska. "Rainfall Data Modeling in Simalungun Regency Using the Arima Box-Jenkins Method." International Journal of Basic and Applied Science 10, no. 1 (2021): 21–27. http://dx.doi.org/10.35335/ijobas.v10i1.4.

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One of the components of the environment that determines the success of plant cultivation is climate. To predict rainfall, the author uses the ARIMA Box Jenkins method, which is a quantitative forecasting method. The data used are data for the period July 2012 to June 2017. In this study, the right model is the ARIMA model (2,0,2) with Xt = 4.05668 + 0.9416Xt-1 - 1.0039Xt-2 - 0, 8558et-1 + 0.9617et-2 + et which is used to forecast rainfall for the next 12 periods. The selection is based on the smallest MSE (average error squared) value of 0.033401954 and the smallest RMSE (root mean square err

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Styaningsih, Feri. "FORECASTING OF UNMET NEEDS PERCENTAGE IN EAST JAVA PROVINCE USING AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) METHOD." Jurnal Biometrika dan Kependudukan 9, no. 1 (2020): 53. http://dx.doi.org/10.20473/jbk.v9i1.2020.53-61.

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ARIMA uses present and past values as the dependent variable. The accuracy of the ARIMA forecasting method results is good to be used to obtain short-term forecasts. Compared to other time series methods, the advantage of ARIMA method is that it can be used in the percentage of unmet needs data in East Java Province since ARIMA method does not require any specific data motives. Unmet need is a group of women who do not want to have any more children or want to minimize their pregnancy but refuse to use contraception to prevent pregnancy. This study aims to determine the percentage of unmet nee

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Elsheikh, Ahmed Mohamed, Mohammed Abdullah AlShareef, Bassem Salah Saleh, and Muhammad Abdullah Yassin El-Tawansi. "Assessment of patient safety culture: a comparative case study between physicians and nurses." Business Process Management Journal 23, no. 4 (2017): 792–810. http://dx.doi.org/10.1108/bpmj-02-2017-0029.

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Purpose This study compares responses of physicians and nurses to patient safety culture assessment in the Security Forces Hospital Program Makkah, Saudi Arabia, using the Agency for Healthcare Research and Quality (AHRQ) survey tool and its referenced benchmarking tool. The purpose of this paper is to measure patient safety culture to improve its perception, reaction, and implementation, leading to improvement in care delivery. Design/methodology/approach This study uses convenience sampling, delivering paper copies. The completed surveys were collected by a designated hospital contact person

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Kleniewska, Małgorzata, Dorota Mitrowska, and Michał Wasilewicz. "Estimating Daily Global Solar Radiation with No Meteorological Data in Poland." Applied Sciences 10, no. 3 (2020): 778. http://dx.doi.org/10.3390/app10030778.

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The aim of the study was to calibrate coefficients and evaluate performance of simple, day-of-the-year, global solar radiation (H) models nominated from the literature. Day-of-the-year models enable estimation of global solar radiation when no meteorological data is available. The study used 16-year-long data series of daily H, taken at 15 actinometric stations located in various parts of Poland. The goodness-of-fit of the models to the actual long-term monthly average daily global solar radiation data expressed by determination coefficient (R2) ranges from 0.94 to 0.97. Depending on statistic

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Nursanti, Anisa Indah, and Rina Supriatnaningsih. "Analisis Kesalahan Penggunaan Fukushi Kanarazu, Kitto, Zettai(ni) dan Zehi pada Mahasiswa Prodi Pendidikan Bahasa Jepang UNNES." Chi'e: Journal of Japanese Learning and Teaching 7, no. 2 (2019): 59–62. http://dx.doi.org/10.15294/chie.v7i2.29616.

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The purpose of this study was to find out the errors and any factors that caused errors in the use of kanarazu, kitto, zettai (ni) and zehi on students of the UNNES Japanese Language Education Study Program. The population in this study were students of the 2015 Japanese Language Education Study Program UNNES. The sample was taken by a random sampling technique, which was 37 students. Retrieval of data using the test method as many as 20 questions. The results showed an average percentage of fukushi use errors of 71% in the high category. The highest error rate for using fukushi is zehi. The c

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Moezzi, Meisam, Golshan Afshari, and Fakher Rahim. "Prevalence and factors contributing to medication errors in a referral hospital in Iran: A retrospective study." Pakistan Journal of Medical and Health Sciences 15, no. 6 (2021): 1785–89. http://dx.doi.org/10.53350/pjmhs211561785.

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Background: A medication error is defined as any inappropriate drug administration that can harm the patient while being preventable and equally occurring under the supervision of a medical team. Objectives: The current study was conducted to clarify the error status, evaluate the regularity of medical mistakes in a referral hospital in the South West of Iran. Methods: Data were gathered from multiple wards at various shift works based on an optional error reporting form, either self-reporting or colleague-reporting, and then it has been made available to the "Quality Improvement Office" exper

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Richasdy, Donni, and Saiful Akbar. "Path Smoothing With Support Vector Regression." JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING 4, no. 1 (2020): 142–50. http://dx.doi.org/10.31289/jite.v4i1.3856.

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One of moving object problems is the incomplete data that acquired by Geo-tracking technology. This phenomenon can be found in aircraft ground-based tracking with data loss come near to 5 minutes. It needs path smoothing process to complete the data. One solution of path smoothing is using physics of motion, while this research performs path smoothing process using machine learning algorithm that is Support Vector Regression (SVR). This study will optimize the SVR configuration parameters such as kernel, common, gamma, epsilon and degree. Support Vector Regression will predict value of the dat

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Chakraborty, Shankar, and Shibaprasad Bhattacharya. "Application of XGBoost Algorithm as a Predictive Tool in a CNC Turning Process." Reports in Mechanical Engineering 2, no. 2 (2021): 190–201. http://dx.doi.org/10.31181/rme2001021901b.

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In this paper, an ensemble learning method, in the form of extreme gradient boosting (XGBoost) algorithm is adopted as an effective predictive tool for envisaging values of average surface roughness and material removal rate during CNC turning operation of high strength steel grade-H material. In order to develop the related models, a grid with 24600 combinations of different hyperparameters is created and tested for all the possible hyperparametric combinations of the model. The configurations having the optimal values of the considered hyperparameters and yielding the lowest training error a

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Hendrawan, Riko, and Anggadi Sasmito. "TESTING OF THE BLACK SCHOLES AND GARCH MODELS IN LQ45 USING LONG STRADDLE STRATEGY IN 2009-2018." Jurnal Bisnis dan Manajemen 22, no. 1 (2021): 30–39. http://dx.doi.org/10.24198/jbm.v22i1.487.

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The purpose of this study is to examine the implementation of option contracts using Black Scholes and GARCH on the LQ45 index using the long straddle strategy. This study uses time-series data as a time frame for conducting research, using a sample of closing price data for the LQ 45 daily index for 2009-2018. For the test the model, we used the secondary data of the closing stock price index from February 28, 2009 to March 31, 2019The results of this study are seen by comparing the average percentage value of Average Mean Squared Error (AMSE) of Black Scholes and GARCH with the application o

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Sunthornwat, Rapin, and Yupaporn Areepong. "Average Run Length on CUSUM Control Chart for Seasonal and Non-Seasonal Moving Average Processes with Exogenous Variables." Symmetry 12, no. 1 (2020): 173. http://dx.doi.org/10.3390/sym12010173.

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The aim of this study was to derive explicit formulas of the average run length (ARL) of a cumulative sum (CUSUM) control chart for seasonal and non-seasonal moving average processes with exogenous variables, and then evaluate it against the numerical integral equation (NIE) method. Both methods had similarly excellent agreement, with an absolute percentage error of less than 0.50%. When compared to other methods, the explicit formula method is extremely useful for finding optimal parameters when other methods cannot. In this work, the procedure for obtaining optimal parameters—which are the r

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Uddin, Syed Misbah, Aminur Rahman, and Emtiaz Uddin Ansari. "COMPARISON OF SOME STATISTICAL FORECASTING TECHNIQUES WITH GMDH PREDICTOR: A CASE STUDY." Journal of Mechanical Engineering 47, no. 1 (2018): 16–21. http://dx.doi.org/10.3329/jme.v47i1.35354.

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Demand forecasts are extremely important for manufacturing industry and also needed for all type of business and business suppliers for distribution of finish products to the consumer on time. This study is concerned with the determination of accurate models for forecasting cement demand. In this connection this paper presents results obtained by using a self-organizing model and compares them with those obtained by usual statistical techniques. For this purpose, Monthly sales data of a typical cement ranging from January, 2007 to February, 2016 were collected. A nonlinear modelling technique

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Dowell, F. E. "Sample Size Effects on Measuring Grade and Dollar Value of Farmers' Stock Peanuts1." Peanut Science 19, no. 2 (1992): 121–26. http://dx.doi.org/10.3146/i0095-3679-19-2-15.

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Abstract Multiple samples of two sizes from 40 trailers of farmers' stock peanuts were inspected to determine sample size effects on measuring grade factors and dollar value. Grade factors and dollar value were measured using the current sample size (IX) and in a sample double the current size (2X). The 2X sample variances for determining sound mature kernels, sound splits, other kernels, damaged kernels, foreign material, loose shelled kernels, and load value were significantly lower than the IX sample variances in only 8 or less of the 40 trailers. Average dollar values indicate measurement

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