Muhammad Arif - Academia.edu (original) (raw)

Papers by Muhammad Arif

Biologia Plantarum, Jul 3, 2011

... This strategy has resulted in several successful studies where different osmoprotectants have... more ... This strategy has resulted in several successful studies where different osmoprotectants have been overexpressed, like proline (Mani et al. 2002, Simon-Sarkadi et al. 2005, Yamada et al. 2005, Gubis et al. 2007, Vendruscolo et al. 2007, Chen et al. 2009, Kumar et al. ...

International Journal of Agriculture and Biologyinternational Journal of Agriculture and Biology, 2009

Stochastic Environmental Research and Risk Assessment, Mar 4, 2015

ABSTRACT The increase in world population has led to a significant increase in food demand throug... more ABSTRACT The increase in world population has led to a significant increase in food demand throughout the world, so agricultural policy makers in all countries try to estimate their annual food requirements in advance in order to provide food security for their people. In order to achieve this goal, this study developed a novel predictive model based on the energy inputs employed during the production season. Rice caters more than 30% of the calorie requirement for the Asian countries. In Iran too rice is one of the most important agricultural products. Therefore, objective of this study was to develop a model based on artificial intelligence for predicting the output energy in rice production. Such a model could help farmers and policy makers. This model employed the polynomial and radial basis function (RBF) as the kernel function for Support Vector Regression (SVR). The input energies from different sources used during rice production were given as the inputs to the model, and the output energy was chosen as the output of the model. In order to achieve generalized performance, SVR_poly and SVR_rbf tried to minimize the generalization error bound, instead of minimizing the training error. The results show that the proposed model improves the predictive accuracy and capability of generalization. Results show that SVRs can serve as a promising alternative for existing prediction models.

Journal of Postgraduate Medical Institute, Oct 13, 2011

... DEFECTS IN TIBIA BY MONOAXIAL EXTERNAL FIXATOR Mohammad Shabir, Mohammad Arif, Abdul Satar, M... more ... DEFECTS IN TIBIA BY MONOAXIAL EXTERNAL FIXATOR Mohammad Shabir, Mohammad Arif, Abdul Satar, Mohammad Inam ... 22. Pasha IF, Qayyum A, Tanveer K, Mehboob I, conventional external fixator for tibial bone Siddiqui A, Ahmed A. Segment transport using loss. ...

International Journal of Advanced Manufacturing Technology, 2013

ABSTRACT

2008 IEEE International Multitopic Conference, 2008

Pakistan Journal of Biological Sciences, 2006

... pest control and foreign exchange worth millions of rupees is being Corresponding Author:Muha... more ... pest control and foreign exchange worth millions of rupees is being Corresponding Author:Muhammad Jalal Arif ... The present findings are not in agreement with those of Al-Faisal and Kar ... not in conformity with those of Enkegaard (1993), Jadev and Butter (1988), Khan and Uriah ...

Phytoparasitica, Apr 7, 2010

Abstract Mango (Mangifera indica L.) is one of the most economically important trees which has be... more Abstract Mango (Mangifera indica L.) is one of the most economically important trees which has been cultivated for several centuries. The tree is susceptible to insect damage and is attacked by leaf eaters, termites, root grubs, sapsuckers, gall formers, stem borers, pod ...

International Journal of Advanced Manufacturing Technology, 2011

The program in fundamental neutron physics at the National Institute of Standards and Technology ... more The program in fundamental neutron physics at the National Institute of Standards and Technology (NIST) began nearly two decades ago. Currently, five neutron beam lines are dedicated to studies of fundamental neutron interactions. The neutrons are provided by the NIST Center for Neutron Research (NCNR), a national user facility for studies that include condensed matter physics, materials science, nuclear chemistry, and biological science. The beam lines for fundamental neutron physics experiments include a high intensity polychromatic beam, three monochromatic beams (0.496 nm, 0.89 nm, and .384 nm), and a neutron interferometer and optics facility (0.2 nm -- 0.49 nm). The presentation will discuss the broad program in fundamental neutron physics with a brief description of some of the experiments performed at the NCNR. In addition, the status of the new guide expansion project that includes a new neutron guide that will provide an additional very high intensity polychromatic beam for fundamental physics research will be presented.

Australian Journal of Crop Science, 2008

Pattern Recognition in Information Systems, 2004

International Journal of Agriculture and Biology, 2009

We describe the design and characteristics of a new monochromatic neutron beam recently establish... more We describe the design and characteristics of a new monochromatic neutron beam recently established at the end of neutron guide NG-6 at the National Center for Neutron Research at NIST. Results from an accurate absolute measurement of the mean neutron wavelength of this beam will be presented. In addition, we will discuss our plans for accurate neutron flux measurements^1,2 which are required for a Penning trap-based neutron lifetime experiment in progress at NIST^3. ^1 D. M. Gilliam, G. L. Greene, and G. P. Lamaze, NIM A284, 220 (1989) ^2 J. M. Richardson, T. E. Chupp, R. G. H. Robertson, and J. F. Wilkerson, NIM A306, 291 (1991) ^3 W. M. Snow, M. S. Dewey, D. M. Gilliam, and G. L. Greene, Proceedings of WEIN-95, ed. H. Ejiri, World Scientific, 346-349 (1996)

Informatica, Jan 8, 2015

This paper shows a few novel calculations for wind speed estimation, which is focused around soft... more This paper shows a few novel calculations for wind speed estimation, which is focused around soft computing. The inputs of to the estimators are picked as the wind turbine power coefficient, rotational rate and blade pitch angle. Polynomial and radial basis function (RBF) are applied as the kernel function of Support Vector Regression (SVR) technique to estimate the wind speed in this study. Instead of minimizing the observed training error, SVR_poly and SVR_rbf attempt to minimize the generalization error bound so as to achieve generalized performance. The results are compared with the adaptive neuro-fuzzy (ANFIS) results.

International Journal of Engineering Intelligent Systems For Electrical Engineering and Communications, 2010

Energy, Jan 24, 2015

ABSTRACT District heating systems can play a significant role in achieving stringent targets for ... more ABSTRACT District heating systems can play a significant role in achieving stringent targets for CO2 emissions with concurrent increase in fuel efficiency. However, there are numerous possibilities for future improvement of their operation. One of the potential domains is control, where short-term prediction of heat load can play a significant role. With reliable prediction of consumers&#39; heat consumption, production could be altered to match the real consumers&#39; needs. This will have an effect on lowering the distribution cost, heat losses, and especially primary and secondary return temperatures, which will consequently result in increased overall efficiency of district heating systems. This paper compares the accuracy of different predictive models of individual consumers in district heating systems. For that purpose, we designed and tested numerous models based on the SVR (support vector regression) with a polynomial (SVR–POLY) and a radial basis function (SVR–RBF) as the kernel functions, with different set of input variables and for four prediction horizons. Model building and testing was performed using experimentally obtained data from one heating substation. The results were compared using the RMSE (root-mean-square error) and the coefficient of determination (R2). The prediction results of SVR–POLY models outperformed the results of SVR–RBF models for all prediction horizons and all sampling intervals. Moreover, the SVR–POLY demonstrated high generalization ability, so we propose that it should be used as a reliable tool for the prediction of consumers&#39; heat load in DHS (district heating systems).