scholarly journals An Uncertainties Simulation Model Applied to an Automated Laminar Flowmeter

2020 ◽  
Vol 10 (3) ◽  
pp. 888
Author(s):  
António Pedro ◽  
Teresa Morgado ◽  
Helena Navas
Keyword(s):  
Monte Carlo ◽  
Simulation Model ◽  
Temperature Sensor ◽  
Test Bench ◽  
Microelectromechanical Systems ◽  
Data Acquisition System ◽  
Work Conditions ◽  
The Monte Carlo Method ◽  
Differential Pressure Sensor ◽  
Volumetric Flowrate

Aircraft oxygen regulators are a normally used specialized test bench designed to perform tests to the regulators during its work conditions. The tests are performed placing the regulator in the barometric chamber, where low pressure conditions are forced to simulate altitude conditions and then a flow is forced on the output of the regulator to simulate the inhalation of the user. The relevant test flows are measured by laminar flowmeters. These flowmeters are meant to measure the flowrate at pressures correspondent to altitudes between sea level altitude and fifty thousand feet. In this work a way was studied to automate laminar flowmeters used on oxygen regulator test benches. For this purpose, was developed a data acquisition system (DAS) using a microcontroller board and two microelectromechanical systems—MEMSs (a pressure and temperature sensor and a differential pressure sensor). Since these MEMSs did not have factory calibration, they were calibrated in this study. The automated flowmeter was also calibrated. To estimate the error of flow rate measured by this solution, an uncertainties simulation model based on the Monte Carlo method and several calibrations were performed. According to the automated flowmeter calibration, the uncertainty obtained (±0.45% fs) is accepted, but the authors only recommend its use for actual volumetric flowrate measurements.

scholarly journals PENERAPAN SISTEM ANTRIAN SEBAGAI UPAYA PENGOPTIMALKAN PELAYANAN TERHADAP PASIEN PADA LOKET PENGAMBILAN OBAT DI RSI. IBNU SINA PASAMAN BARAT DENGAN MENGGUNAKAN METODE MONTE CARLO

2019 ◽  
Vol 3 (1) ◽  
pp. 7
Author(s):  
Novi Trisna ◽  
Wifra Safitri ◽  
Mutia Pratiwi
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Simulation Model ◽  
Waiting Time ◽  
Queue System ◽  
Average Waiting Time ◽  
Commercial Activities ◽  
The Monte Carlo Method ◽  
Queue Model ◽  
Simulation Monte Carlo

Abstract - Queue is an activity that is often encountered not only in commercial activities, even RSI. Ibnu Sina Pasaman Barat engaged in services for the community also experienced the same thing. This needs to be considered and handled properly by the manager by taking anticipatory actions, because if it is not immediately resolved, then the community can feel unsatisfied with the services provided. Related to these problems, this study was conducted with the aim to determine the effectiveness of the number of counters at the time of service and make a simulation model of the drug collection queue system at the RSI drug collection counter. Ibnu Sina Pasaman Barat to get alternative system improvements, where the simulation model was made using PHP and MySQL. The simulation model made can provide information about the number of people served and the average waiting time of a particular time unit. From the analysis carried out on the simulation model, the alternative improvements that can be proposed are by setting the Monte Carlo method queue model as the queue model that will be used. From the results of the analysis carried out and by implementing it into PHP and MySQL the queue model of the Monte Carlo method is more optimal and efficient. It is seen from the average waiting time in the system to be served at the RSI drug collection counter. Ibnu Sina Pasaman Barat. Keywords - Queues, Simulation, Monte Carlo Abstrak - Antrian merupakan kegiatan yang kerap kali dijumpai bukan hanya pada kegiatan-kegiatan komersial, bahkan RSI. Ibnu Sina Pasaman Barat yang bergerak dibidang pelayanan bagi masyarakat juga mengalami hal yang sama. Hal ini perlu diperhatikan dan ditangani dengan baik oleh pengelola dengan melakukan tindakan-tindakan antisipasi, karena jika tidak segera terselesaikan, maka masyarakat bisa merasa tidak terpuaskan dengan pelayanan yang diberikan. Terkait dengan permasalahan tersebut maka penelitian ini dilakukan dengan tujuan untuk mengetahui keefektifitas jumlah loket pada saat pelayanan dan membuat model simulasi dari sistem antrian pengambilan obat di loket pengambilan obat RSI. Ibnu Sina Pasaman Barat untuk mendapatkan alternatif-alternatif perbaikan sistem, dimana model simulasinya dibuat dengan menggunakan PHP dan MySQL.Model simulasi yang dibuat dapat memberikan informasi mengenai jumlah masyarakat yang dilayani dan rata-rata waktu tunggu masyarakat satuan waktu tertentu. Dari analisa yang dilakukan terhadap model simulasi, alternatif perbaikan yang dapat diusulkan yaitu dengan menetapkan model antrian metode monte carlo sebagai model antrian yaang akan digunakan. Dari hasil analisa yang dilakukan dan dengan mengimplementasikan kedalam PHP dan MySQL model antrian metode monte carlo lebih optimal dan efisien digunakan dilihat dari rata-rata waktu tunggu  dalam sistem untuk dilayani pada loket pengambilan obat RSI. Ibnu Sina Pasaman Barat.Kata Kunci - Antrian, Simulasi, Monte Carlo

scholarly journals Prediction of Wave Energy Transformation Capability in Isolated Islands by Using the Monte Carlo Method

2021 ◽  
Vol 9 (9) ◽  
pp. 980
Author(s):  
Deivis Avila ◽  
Graciliano Nicolás Marichal ◽  
Ramón Quiza ◽  
Felipe San Luis
Keyword(s):  
Computer Simulation ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Simulation Model ◽  
Computer Simulation Model ◽  
Energy Transformation ◽  
Energy Converter ◽  
Gran Canaria ◽  
The Monte Carlo Method ◽  
The Waves

In this work, a mathematical computer simulation model is used to predict the possible energy generated from different Waves Energy Converters (WECs) in the Canary Islands. The Monte Carlo Method is the computer simulation model proposed to predict the generated energy. The Waves Energy Converter systems analyzed in the study were, the Aqua Buoy, Wave Dragon and Pelamis converters. The models were implemented and validated, with the dataset of Gran Canaria deep water buoy. This buoy belongs to a network of buoys belonging to Spain’s State Ports and they cover a dataset period of 22 years. The research has concluded that it is possible to affirm that the achieved model is a strong tool to compute the possible energy of any WECs, when the power matrix is known. The model based on the Monte Carlo simulation can be used in isolated islands of the Atlantic Ocean and can be extrapolated to other regions with the same characteristics.

UGR CALCULATION BASED ON THE LUMINANCE SPATIAL-ANGULAR DISTRIBUTION

2020 ◽  
Vol 2020 (4) ◽  
pp. 25-32
Author(s):  
Viktor Zheltov ◽  
Viktor Chembaev
Keyword(s):  
Monte Carlo ◽  
Angular Distribution ◽  
Monte Carlo Method ◽  
Visual Task ◽  
New Method ◽  
Lighting System ◽  
Preliminary Assessment ◽  
System A ◽  
The Monte Carlo Method

The article has considered the calculation of the unified glare rating (UGR) based on the luminance spatial-angular distribution (LSAD). The method of local estimations of the Monte Carlo method is proposed as a method for modeling LSAD. On the basis of LSAD, it becomes possible to evaluate the quality of lighting by many criteria, including the generally accepted UGR. UGR allows preliminary assessment of the level of comfort for performing a visual task in a lighting system. A new method of "pixel-by-pixel" calculation of UGR based on LSAD is proposed.

PSHA software review based on the Monte Carlo method

2020 ◽  
pp. 14-24
Author(s):  
V.A. Mironov ◽  
S.A. Peretokin ◽  
K.V. Simonov
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Seismic Hazard ◽  
Hazard Analysis ◽  
Software Review ◽  
Seismic Hazard Analysis ◽  
Probabilistic Seismic Hazard ◽  
Test Calculation ◽  
Seismic Surveys ◽  
The Monte Carlo Method

The article is a continuation of the software research to perform probabilistic seismic hazard analysis (PSHA) as one of the main stages in engineering seismic surveys. The article provides an overview of modern software for PSHA based on the Monte Carlo method, describes in detail the work of foreign programs OpenQuake Engine and EqHaz. A test calculation of seismic hazard was carried out to compare the functionality of domestic and foreign software.

Application of the Monte Carlo Method for the Prediction of Behavior of Peptides

2019 ◽  
Vol 20 (12) ◽  
pp. 1151-1157 ◽  
Author(s):  
Alla P. Toropova ◽  
Andrey A. Toropov
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Natural Sciences ◽  
Monte Carlo Technique ◽  
Quantitative Structure ◽  
Structure Property ◽  
The Monte Carlo Method ◽  
Modern Natural

Prediction of physicochemical and biochemical behavior of peptides is an important and attractive task of the modern natural sciences, since these substances have a key role in life processes. The Monte Carlo technique is a possible way to solve the above task. The Monte Carlo method is a tool with different applications relative to the study of peptides: (i) analysis of the 3D configurations (conformers); (ii) establishment of quantitative structure – property / activity relationships (QSPRs/QSARs); and (iii) development of databases on the biopolymers. Current ideas related to application of the Monte Carlo technique for studying peptides and biopolymers have been discussed in this review.

scholarly journals A Novel Kinetic Modeling Framework for the Polycondensation of Sugars Using Monte Carlo and the Method of Moments

Processes ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 745
Author(s):  
Dimitrios Meimaroglou ◽  
Sandrine Hoppe ◽  
Baptiste Boit
Keyword(s):  
Monte Carlo ◽  
Kinetic Modeling ◽  
Method Of Moments ◽  
Kinetic Monte Carlo ◽  
Kinetic Scheme ◽  
Modeling Framework ◽  
Industrial Sectors ◽  
The Monte Carlo Method ◽  
Reacting Systems ◽  
High Degree

The kinetics of the hydrolysis and polycondensation reactions of saccharides have made the subject of numerous studies, due to their importance in several industrial sectors. The present work, presents a novel kinetic modeling framework that is specifically well-suited to reacting systems under strict moisture control that favor the polycondensation reactions towards the formation of high-degree polysaccharides. The proposed model is based on an extended and generalized kinetic scheme, including also the presence of polyols, and is formulated using two different numerical approaches, namely a deterministic one in terms of the method of moments and a stochastic kinetic Monte Carlo approach. Accordingly, the most significant advantages and drawbacks of each technique are clearly demonstrated and the most fitted one (i.e., the Monte Carlo method) is implemented for the modeling of the system under different conditions, for which experimental data were available. Through these comparisons it is shown that the model can successfully follow the evolution of the reactions up to the formation of polysaccharides of very high degrees of polymerization.

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