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      • 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.

      • 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.

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        An Empirical Investigation on the Adoption of E-Commerce in Bangladesh

        Hoque, Md. Rakibul,Ali, Mohammad Afshar,Mahfuz, Mohammad Abdullah The Korea Society of Management Information System 2015 Asia Pacific Journal of Information Systems Vol.25 No.1

        Electronic Commerce or e-commerce implies such an industry where goods and services are bought and sold over electronic systems. This is rapidly growing sectors in Bangladesh which influence local and international trade. Government of Bangladesh has also initiated quite a good number of measures for the expansion of e-commerce. However, low adoption of e-commerce is not uncommon in Bangladesh. The objective of this study is to determine the factors that influence the adoption of e-commerce services in Bangladesh. Extended version of Technology Acceptance Model (TAM) is envisaged as the theoretical backbone of the study. Reliability analysis using Cronbach's Alpha test indicates that the research model is internally consistent. The study reveals that 35 percent of respondents became interested in e-commerce services from advertisement on Internet or other electronic media. The findings of the study shows that all the four constructs, namely-Computer Self Efficacy, Perceived Credibility, Perceived Usefulness and Perceived Ease of Use have significant effect on the adoption of e-commerce. The study has also demonstrated that Perceived Usefulness appeared as the most important factor in describing user's adoption of e-commerce.

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      • RNAi and miRNA in Viral Infections and Cancers

        Mollaie, Hamid Reza,Monavari, Seyed Hamid Reza,Arabzadeh, Seyed Ali Mohammad,Shamsi-Shahrabadi, Mahmoud,Fazlalipour, Mehdi,Afshar, Reza Malekpour Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.12

        Since the first report of RNA interference (RNAi) less than a decade ago, this type of molecular intervention has been introduced to repress gene expression in vitro and also for in vivo studies in mammals. Understanding the mechanisms of action of synthetic small interfering RNAs (siRNAs) underlies use as therapeutic agents in the areas of cancer and viral infection. Recent studies have also promoted different theories about cell-specific targeting of siRNAs. Design and delivery strategies for successful treatment of human diseases are becomingmore established and relationships between miRNA and RNAi pathways have been revealed as virus-host cell interactions. Although both are well conserved in plants, invertebrates and mammals, there is also variabilityand a more complete understanding of differences will be needed for optimal application. RNA interference (RNAi) is rapid, cheap and selective in complex biological systems and has created new insight sin fields of cancer research, genetic disorders, virology and drug design. Our knowledge about the role of miRNAs and siRNAs pathways in virus-host cell interactions in virus infected cells is incomplete. There are different viral diseases but few antiviral drugs are available. For example, acyclovir for herpes viruses, alpha-interferon for hepatitis C and B viruses and anti-retroviral for HIV are accessible. Also cancer is obviously an important target for siRNA-based therapies, but the main problem in cancer therapy is targeting metastatic cells which spread from the original tumor. There are also other possible reservations and problems that might delay or even hinder siRNA-based therapies for the treatment of certain conditions; however, this remains the most promising approach for a wide range of diseases. Clearly, more studies must be done to allow efficient delivery and better understanding of unwanted side effects of siRNA-based therapies. In this review miRNA and RNAi biology, experimental design, anti-viral and anti-cancer effects are discussed.

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