73 research outputs found
NON-LINEAR PARAMETER ESTIMATION OF EMC/ERH CORRELATIONS FOR GRAIN-TYPE PRODUCTS
No full textA mathematical prediction of corn sorption isotherm was developed for three-parameter EMC correlation such as Modified-Henderson, Modified-Chung-Pfost, Modified-Oswin, and Modified-Halsey. Moisture sorption experimental data were determined using a dynamic method at temperature 30 oC, 40 oC and water activity range from 0.07 to 0.75. The vapor pressure regulation of air surrounding the grains was adjusted by varying sulfuric acid solution. Non-linear regression algorithms such as Simplex and/or Rosenbrock algorithm were used to fit the measured data to the EMC relations. The generalized correlation coefficient (R2) and the mean relative deviation were in the range of 0.90-0.99 and 2 % - 8 % respectively, in which comparison between predicted and experimental sorption isotherms. From the parameters of correlation, it is possible to get the best equations among them to represent equilibrium moisture content of corn grains. The Modified-Henderson and Modified-Oswin equations give the best model for predicting the adsorption and desorption EMC of corn grain for given range of temperature and water activity
Using Artificial Neural Network to Provide Realistic Lifting Capacity in the Mobile Crane Simulation
No full textSimulations are often used for training novice operators to avoid accidents, while they are still polishing their skills. To ensure the experience gained in the simulation be applicable in real-world scenarios, the simulation has to be made as realistic as possible. This paper investigated how to make the lifting capacity of a virtual mobile crane behave similarly like its real counterpart. We initially planned to use information from the load charts, which document how the lifting capacity of a mobile crane works, but the data in the load charts were very limited. To mitigate this issue, we trained an artificial neural network (ANN) using 90% of random data from two official load charts of a real mobile crane. The trained model could predict the lifting capacity based on the real-time states of the boom length, the load radius, and the counterweight of the virtual mobile crane. To evaluate the accuracy of the ANN predictions, we conducted a real-time experiment inside the simulation, where we compared the lifting capacity predicted by the ANN and the remaining 10% of the data from the load charts. The results showed that the ANN could predict the lifting capacity with small deviation rates. The deviation rates also had no significant impact on the lifting capacity, except when both boom length and load radius were approaching their maximum states. Therefore, the predicted lifting capacity generated by the ANN could be assumed to be close enough to the values in the load charts.This is an Author Accepted Manuscript version of the following chapter: S. Roysson, T. A. Sitompul, and R. Lindell, Using Artificial Neural Network to Provide Realistic Lifting Capacity in the Mobile Crane Simulation, published in Proceedings of the 22nd Engineering Applications of Neural Networks Conference, edited by L. Iliadis, J. Macintyre, C. Jayne, and E. Pimenidis, 2021, Springer reproduced with permission of Springer. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-80568-5 37.ImmerSafe - Immersive Visual Technologies for Safety-critical Application
Production of Methyl Laurate From Coconut Cream Through Fractionation of Methyl Ester
No full textThis paper concerns the production of methyl laurate from coconut cream through fractionation of methyl esters. Coconut oil was produced by wet processing of coconut cream. The esters were prepared by reacting coconut oil and methanol using homogeneous catalyst KOH in a batch reactor, followed by fractionation of fatty acid methyl esters (FAME) at various reduced pressures applying differential batch vacuum distillation. Experimental data were compared with simulation of a batch distillation employing the simple Raoult's model and modified Raoult's model of phase equilibria. Activity coefficients (γi) were determined by optimization to refine the models. The modified Rault's model with activity coefficients gave better agreement with the experimental data, giving the value of γi between 0,56-0,73. For a given boiling temperature, lower operating pressure produced higher purity of C10 and C12 FAME for respective distillates
Studi Produksi Hidrasin VIA Proses Urea
No full textThe use of hydrazine,N2H4 becomes very broad nowadays, in the production of polymer such as automobile air bags, in pharmacy, and in the water treatment for oxygen scavenge. Three commercial processes are available for hydrazine production , i.e. via Rasching-Olin, Ketazin, and Urea process. The operating condition for the later process is very mild compared to with the other two processes and hence requires simple processing equipments. This paper concerns with the kinetic study on production and on the effect of deactivator/ inhibitor during hydrazine bench-scale production via Urea process. Operating condition are at 1 bar and at temperature range 5-100 0C. The yield of the hydrazine and its concentration with varying reactants, NaOH, hypochlorite, and urea during the cource of reaction are presented. Futher, the effect of gelatin as the deactivator toward hydrazine yield is futher examined. A kinetic model is proposed and used to predict yield of hydrazine. The predicted yield is in close agreement with the experimental yield.Keywords : hydrazine, bench-scale production, kinetic model, oxygen scavenger, inhibitor, geltine</jats:p
Studi Produksi Hidrasin VIA Proses Urea
No full textThe use of hydrazine,N2H4 becomes very broad nowadays, in the production of polymer such as automobile air bags, in pharmacy, and in the water treatment for oxygen scavenge. Three commercial processes are available for hydrazine production , i.e. via Rasching-Olin, Ketazin, and Urea process. The operating condition for the later process is very mild compared to with the other two processes and hence requires simple processing equipments. This paper concerns with the kinetic study on production and on the effect of deactivator/ inhibitor during hydrazine bench-scale production via Urea process. Operating condition are at 1 bar and at temperature range 5-100 0C. The yield of the hydrazine and its concentration with varying reactants, NaOH, hypochlorite, and urea during the cource of reaction are presented. Futher, the effect of gelatin as the deactivator toward hydrazine yield is futher examined. A kinetic model is proposed and used to predict yield of hydrazine. The predicted yield is in close agreement with the experimental yield.
Keywords : hydrazine, bench-scale production, kinetic model, oxygen scavenger, inhibitor, geltin
MODEL HETEROGEN PENGERINGAN BUTIRAN JAGUNG DALAM UNGGUN DIAM
No full textThis paper deals with one-dimensional dynamic modelling and simulation of deep -bed com drying by two-phase model or heterogeneous model The models consider mass and heat transfer process within grain and drying air phase. This model also considers moisture content and temperature gradient within grain. The coupled of partial differential equations developed, then solves numerically by ï¬nite difference with altemating direction implicit method algorithm. The dynamic models predict not only humidity and temperature of outlet drying air, but also grain moisture content and temperature. The simulated proï¬les are compared with expenmental data, taken from available literature. The models can describe corn grain drying process in deep -bed dryer. However, the model parameters should be modiï¬ed to get drying characteristic proï¬les that closed to the experimenal data
Impact of Ethinyl Estradiol to Human Telomerase Reverse Transcriptase Activity on Complete Hydatidiform Mole Culture
No full textObjective: To prove the effect of ethinyl estradiol as an activator on
human Telomerase Reverse Transcriptase (hTERT).
Method: The experimental study was conducted in vitro by using
culture of complete hydatidiform mole trophoblast cell. We exposed
the culture to ethinyl estradiol in varied doses and measured the
concentration of hTERT through RT-PCR quantitative. There were
40 specimens as control group and 20 specimens exposed to ethinyl
estradiol in different doses (10, 20, 40 and 80 mcg) as experimental
group. The activity of hTERT was measured by RT-PCR and the
concentration of it was assessed by ELISA. We analyzed the variables
using ANOVA, Turkey post hoc and Pearson correlation test.
Result: In control group, the concentration of hTERT was not detected.
Meanwhile, the concentration among different doses of
ethynil estradiol (10, 20, 40, 80 mcg) was 113,117.5; 114,507.6;
102,193.9; 127.546.1 amoles/ml, respectively. Among experimental
group, they were significantly different both using F test (ANOVA)
(p=0.001) and Turkey post hoc test (p=0.005). The correlation
among group was 0.84 which meant higher level of ethinyl estradiol
was correlated with higher activity of hTERT.
Conclusion: Ethinyl estradiol impacts to the increase of hTERT activity
on complete hydatidiform mole cell culture.
[Indones J Obstet Gynecol 2016; 4-2: 93-96]
Keywords: complete hydatidiform mole, ethinyl estradiol, human
Telomerase Reverse Transcriptase (hTERT
Developing awindshield display for mobile cranes
No full textModern heavy machinery, including mobile cranes, are increasingly equipped with information systems in the form of head-down displays that present supportive information. Due to the physical presence of head-down displays, they are usually placed far away from operators' line of sight, thus the information is unintentionally overlooked. This paper investigated the use of transparent displays in mobile cranes, which enables supportive information to be presented near operators' line of sight without fully obstructing their view. We developed both virtual and physical versions of the transparent display, which show information related to the lifting capacity and its influencing factors. The virtual version was developed using the Unity game engine with the data from the official load charts for a specific mobile crane model were incorporated into the mobile crane simulation. The physical version was made using off-the-shelves items, such as glasses, LEDs, super glues, insulated copper wires, and an Arduino. We then connected the virtual transparent display with its physical counterpart using an asset called Uduino, which enabled the Unity game engine to send data to the Arduino. The result in this study showed that the virtual transparent display and its real counterpart were functioning as what we intended. The developed prototype would be used in future user evaluations, thus we could determine to what extent this approach would affect the operators' performance and experience.</p
Correction: Epidemiology and outcomes of early-onset AKI in COVID-19-related ARDS in comparison with non-COVID-19-related ARDS: insights from two prospective global cohort studies (Critical Care, (2023), 27, 1, (3), 10.1186/s13054-022-04294-5)
No full textFollowing publication of the original article [1], the authors identified that the collaborating authors part of the collaborating author group CCCC Consortium was missing. The collaborating author group is available and included as Additional file 1 in this article
KORELASI KESETIMBANGAN FASA SISTEM CO2-C2H5OH PADA KONDISI SUBKRITIK
No full textThis paper concerns with the correlation of phase equilibrium of binary system of carbon dioxide-ethanol at subcritical and supercritical condition. In this study, three equations of state(Redlich-Kwong, Soave-Redlich-Kwong, and Peng-Robinson) together with conventional mixing rule, were applied for correlating phase equilibrium the system. The capabilities of these equations of state were examined with experiment results obtained from the literatures. The results show that Soave-Redlich-Kwong and Peng-Robinsoh equations of states can well correlate the phase equilibrium of binary system of carbon dioxide-ethanol
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