Internal Combustion Engine Control Based on CFM Strategy

Ali Reza Zarei,Mohammad Sadegh Dahideh,Mohammad Najafi,Mehran Afshar,Yaser Barmayeh 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.2

Internal combustion (IC) engines are optimized to meet exhaust emission requirements with the best fuel economy. The mean-value engine model can be used to validate control strategies for different types of controllers that are model-based. The equations that are used to calculate the outputs of the model are approximated over an engine cycle. A significant advantage of the mean-value engine model is its low computational throughput which makes it possible for real-time simulation. In order to reduce engine emissions and improving engine fuel economy, closed loop combustion control, which requires cycleto-cycle combustion measurement such as cylinder pressure, is a necessity. The addition of a cylinder pressure signal to a mean value engine model will allow for developing closed loop combustion control strategies (or other strategies that involve cylinder pressure) to be validated. This is because the cylinder pressure model can produce a cylinder pressure signal for a complete engine operational map and a mean value engine model can produce real world engine parameters and conditions. The performance of the baseline computed fuel controller is compared with that of a baseline proportional, integral, and derivative (PID) controller.

Phylogenetic relationships of Iranian Allium species using the matK (cpDNA gene) region

Zarei, Hemadollah,Fakheri, Barat Ali,Naghavi, Mohammad Reza,Mahdinezhad, Nafiseh The Korean Society of Plant Biotechnology 2020 식물생명공학회지 Vol.47 No.1

Allium L. is one of the largest genera of the Amaryllidaceae family, with more than 920 species including many economically important species used as vegetables, spices, medicines, or ornamental plants. Currently, DNA barcoding tools are being successfully used for the molecular taxonomy of Allium. A total of 46 Allium species were collected from their native areas, and DNA was extracted using the IBRC DNA extraction kit. We used specific primers to PCR amplify matK. DNA sequences were edited and aligned for homology, and a phylogenetic tree was constructed using the neighbor-joining method. The results show thymine (38.5%) was the most frequent and guanine (13.9%) the least frequent nucleotide. The matK regions of the populations were quite highly conserved, and the amount of C and CT was calculated at 0.162 and 0.26, respectively. Analysis of the nucleotide substitution showed C-T (26.22%) and A-G (8.08%) to have the highest and lowest percent, respectively. The natural selection process dN/dS was 1.16, and the naturality test results were -1.5 for Tajima's D and -1.19 for Fu's Fs. The NJ dendrogram generated three distinct clades: the first contained Allium austroiranicum and A. ampeloprasum; the second contained A. iranshahrii, A. bisotunense, and A. cf assadi; and the third contained A. rubellum and other species. In this study, we tested the utility of the matK region as a DNA barcode for discriminating Allium. species.

Phylogenetic relationships of Iranian Allium species using the matK (cpDNA gene) region

Hemadollah Zarei,Barat Ali Fakheri,Mohammad Reza Naghavi,Nafiseh Mahdinezhad (사)한국식물생명공학회 2020 JOURNAL OF PLANT BIOTECHNOLOGY Vol.47 No.1

Allium L. is one of the largest genera of the Amaryllidaceae family, with more than 920 species including many economically important species used as vegetables, spices, medicines, or ornamental plants. Currently, DNA barcoding tools are being successfully used for the molecular taxonomy of Allium. A total of 46 Allium species were collected from their native areas, and DNA was extracted using the IBRC DNA extraction kit. We used specific primers to PCR amplify matK. DNA sequences were edited and aligned for homology, and a phylogenetic tree was constructed using the neighbor-joining method. The results show thymine (38.5%) was the most frequent and guanine (13.9%) the least frequent nucleotide. The matK regions of the populations were quite highly conserved, and the amount of C and CT was calculated at 0.162 and 0.26, respectively. Analysis of the nucleotide substitution showed C-T (26.22%) and A-G (8.08%) to have the highest and lowest percent, respectively. The natural selection process dN/dS was 1.16, and the naturality test results were -1.5 for Tajima’s D and -1.19 for Fu’s Fs. The NJ dendrogram generated three distinct clades: the first contained Allium austroiranicum and A. ampeloprasum; the second contained A. iranshahrii, A. bisotunense, and A. cf assadi; and the third contained A. rubellum and other species. In this study, we tested the utility of the matK region as a DNA barcode for discriminating Allium. species.

Simultaneous Kinetic Spectrophotometric Determination of Sulfite and Sulfide Using Partial Least Squares (PLS) Regression

Afkhami, Abbas,Sarlak, Nahid,Zarei, Ali Reza,Madrakian, Tayyebeh Korean Chemical Society 2006 Bulletin of the Korean Chemical Society Vol.27 No.6

The partial least squares (PLS-1) calibration model based on spectrophotometric measurement, for the simultaneous determination of sulfite and sulfide is described. This method is based on the difference between the rate of the reaction of sulfide and sulfite with Malachite Green in pH 7.0 buffer solution and at 25 ${^{\circ}C}$. The absorption kinetic profiles of the solutions were monitored by measuring the decrease in the absorbance of Malachite Green at 617 nm in the time range 10-180 s after initiation of the reactions with 2 s intervals. The experimental calibration matrix for partial least squares (PLS-1) calibration was designed with 24 samples. The cross-validation method was used for selecting the number of factors. The results showed that simultaneous determination could be performed in the range 0.030-1.5 and 0.030-1.2 $\mu$g m$L ^{-1}$ for sulfite and sulfide, respectively. The proposed method was successfully applied to simultaneous determination of sulfite and sulfide in water samples and whole human blood.

Simultaneous Kinetic Spectrophotometric Determination of Sulfite and Sulfide Using Partial Least Squares (PLS) Regression

Abbas Afkhami*,Nahid Sarlak,Ali Reza Zarei,Tayyebeh Madrakian 대한화학회 2006 Bulletin of the Korean Chemical Society Vol.27 No.6

Surprising Incentive: An Instrument for Promoting Safety Performance of Construction Employees

Ghasemi, Fakhradin,Mohammadfam, Iraj,Soltanian, Ali Reza,Mahmoudi, Shahram,Zarei, Esmaeil Occupational Safety and Health Research Institute 2015 Safety and health at work Vol.6 No.3

Background: In comparison with other industries, the construction industry still has a higher rate of fatal injuries, and thus, there is a need to apply new and innovative approaches for preventing accidents and promoting safe conditions at construction sites. Methods: In this study, the effectiveness of a new incentive system-the surprising incentive system-was assessed. One year after the implementation of this new incentive system, behavioral changes of employees with respect to seven types of activities were observed. Results: The results of this study showed that there is a significant relationship between the new incentive system and the safety performance of frontline employees. The new incentive system had a greater positive impact in the first 6 months since its implementation. In the long term, however, safety performance experienced a gradual reduction. Based on previous studies, all activities selected in this study are important indicators of the safety conditions at workplaces. However, there is a need for a comprehensive and simple-to-apply tool for assessing frontline employees' safety performance. Shortening the intervals between incentives is more effective in promoting safety performance. Conclusion: The results of this study proved that the surprising incentive would improve the employees' safety performance just in the short term because the surprising value of the incentives dwindle over time. For this reason and to maintain the surprising value of the incentive system, the amount and types of incentives need to be evaluated and modified annually or biannually.

Air Pollution Reduction Based on Intelligent Nonlinear Control Methodology

Yaser Barmayeh,Mehran Afshar,Mohammad Sadegh Dahideh,Mohammad Najafi,Ali Reza Zarei 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.1

This paper expands a Multi Input Multi Output (MIMO) fuzzy baseline control (FBC) which controller coefficient is off-line tuned by gradient descent algorithm. The main goal is to adjust the optimal value for fuel ratio (FR) in motor engine. The fuzzy inference system in proposed methodology is works based on Mamdani-Lyapunov fuzzy inference system (FIS). To reduce dependence on the gain updating factor coefficients of the fuzzy methodology, PID baseline method is introduced. This new method provides an optimal setting for other factors which created by PID baseline method. The gradient descent methodology is off-line tune all coefficients of baseline fuzzy based on mathematical optimization methodology. Simulation results signify good performance of fuel ratio in presence of different torque load and external disturbance.