@Research Paper
<#LINE#>Mechanochemical Synthesis and Characterization of Polyaniline Catalyzed by Maghnite-H  (Algerian Montmorillonite?<#LINE#>Rahmouni@Abdelkader,Amine@Harrane,Mohammed@Belbachir<#LINE#>1-5<#LINE#>1.ISCA-RJRS-2013-031.pdf<#LINE#>Université d’Oran Es-senia, Département de chimie, Faculté des Sciences, BP 1524.El M’nouar 31000 Oran, ALEGERIA<#LINE#>30/1/2013<#LINE#>14/2/2013<#LINE#>Conductive polymers had been the topic of the large number of investigations during last decades because of their unique properties such as mechanochemical strength, electrical conductivity, corrosion and thermal stability. Maghnite-H+ is a montmorillonite sheet silicate clay, which exchanged with protons. Polyaniline (PANI), with unique electrical and opticalproperties, is a promising candidate for wide range of potential applications. So that, in the present paper we report: i.Synthesis of Polyaniline by chemical polymerization of aniline using montmorillonite (Mag-H+) as Protonic source. ii.Different oxidant such as (K2S2O8 , K2Cr2O7 , CuCl2). iii. Characterization of different Polyaniline by different technics. With these easy synthesis associated good solubility, thermal stability and high electrical conductivity. <#LINE#> @ @    MacDiarmid A.G. and Epstein A., Synth Met, 65, 103(1994)@No $ @ @  Chen S. and Lee H., Macromolecules, 26, 3254 (1993)@No $ @ @   Zheng W., Angelopoulos M. and Epstein A., MacDiarmid,30, 2954 (1997)@No $ @ @   Belbachir M. and Bensaoula A., Composition and Method for Catalysis using Bentonites, US Patent, 0069446 A1(2003)@No $ @ @  Belbachir M. and Bensaoula A., US. Patent, 6, 274, 527B1 (2001)@No $ @ @   Sinha Ray S. and Biswas M., Preparation and evaluation ofcomposites from MMT montmorillonite and someheterocyclic polymers: 3. a water dispersiblenanocomposite from pyrrole-montmorillonitepolymerization system. Mater. Res. Bull, 34, 1187–1194(1999)@No $ @ @   Gospodinova N., Mokreva P., Tsanov T. and TerlemezyanL, Journal of Polymer, 38, 743 (1997)@No $ @ @   Rodriguez J., Grande H. and Otero T.F., Handbook ofOrganic Conducting Molecules and Polymers, 2, Wiley:Chichester, 415–468 (1997)@No $ @ @  Viswanathan and al, US. Patent. 6, 299, 800 B1 (2005)@No $ @ @ Rhee S.B., Chang J.L. and Wang X., US Patents, 5, 795,942 A (1998)@No $ @ @  Omastova´ M., Pionteck J. and Kosina S., In: Electronicand Optical Properties of Conjugated Molecular Systemsin Condensed Phases, Hotta S (ed.), Research Signpost:Kerala, India, 153–186 (2003)@No $ @ @  Hasegawa N., Okamoto H., Kawasumi M., Kato M.,Tsukigase A. and Usuki A., Polyolefin-clay hybrids basedon modified polyolefins and organophilic clay, Macromol.Mater. Eng. 180/181: 76–79 (2000)@No $ @ @  Kwan Y.A., Succasunna J., and Elsenbaumer R.L.,USPatents, 5, 069, 820A (1991)@No $ @ @   Karna T., jukka L., kalle L., and Savolainen E., USPatents, 5, 928,565 A (1999)@No $ @ @   Wei., Guang-Way Y., Scherr F., MacDiarmid A.G. andEpstein E., A J., Polymer, 33, 3 14 (l992)@No $ @ @  Negi Y.S. and Adhyapak P.V., J Macromol. Sci Polym.Rev, 42, 35–53 (2002)No $ @ @ Ryu K.S., Moon B.W., Joo j and Chang S.H., Polymer, 42,9355–9360 (2001)@No $ @ @ Yahiaoui A., Belbachir M., Soutif J.C., Fontaine L Materials Letters, 59, 759–767 (2005)@No $ @ @  Yahiaoui A. and Belbachir M., Mendeleev Communications, 15, 242–244 (2005)@No $ @ @  Kim J.Y., Lee K., Coates N.E., Moses D., Nguyen T.Q.,Dante M. and Heeger A.J., Science, 317, 222 (2007)@No 
<#LINE#>Investigation Antibacterial Activity Extraction from two Medicinal Plants Available in Sudan<#LINE#>A.@ManalIsmail,H.A.@Musa,K.H.@Yousif,M.K.@Sabahelkhier<#LINE#>6-9<#LINE#>2.ISCA-RJRS-2013-168.pdf<#LINE#>Department of Microbiology, University of Dongola, Dongola, SUDAN @ Department of Microbiology, University of El Ribat, Khartoum, SUDAN @ Department of Biochemistry, University of Alzaiem Al azhari, Khartoum north, SUDAN@ Department of Biochemistry and Molecular Biology. Faculty of Science and Technology, Al-Neelain Unversity, SUDAN<#LINE#>31/3/2013<#LINE#>4/3/2013<#LINE#>An aim of present study is investigated the antibacterial activity of petroleum ether and methanol extracts of two Sudanesemedicinal plants Vigna coerulea Bak. and Aloe vera were tested against three species of bacteria , Bacillus subtilis ,Escherichia coli and Staphylococcus aureus. Results were revealed the methanol extracts of two medicinal plants wereeffective on bacterial strains, while the crude plants were weakly effective. The diameter of inhibition zones ranged from 15-20 mm. A minimum inhibitory concentration (MIC) of the plants against different microorganisms was done by using amicrodillution method, it was found to be ranged from 0.156 -0.313 mg/m. In vivo-sensitivity of the plants were tested on 10,three days old by using the white rats. The rats were infected with different bacterial strains. Stained films from the lesions,cultures and histopathology confirmed the infections. The infected wounds showed dramatic response to the usage of theplants as topical treatment. Toxicity of the plants was tested in rats. The plants mixed with distilled water and given to therats as drinking water. The hematological and chemical parameters were measured before and after ingestion of the plantsby rats. Histopathology sections of the hearts, livers, lungs, kidneys and spleens of the rat become normal. <#LINE#> @ @  EL. Magboul A.Z., Antimicrobial and phytochemical investigation of Vernonia amygdalina medicinal plants, Thesis Faculty of Pharmacy Khartoum, (1992)@No $ @ @  EL Ghazali GE, ELTohami MS. and ELEgami AA.Medicinal plants of the Sudan, Partthe White Nile Provinces, Medicinal and aromatic plants research institute, National centre for research(1994) @No $ @ @  Chopra R.N., Nayer S.L. and Chopra I.C., Glossary of Indian Medicinal Plants, 3rd Edn. New Delhi, Scientific and Industrial Research, @No $ @ @ Bruneton J., Pharmacognosy, Phytochemistry, Medicinal plants, France: Lavoisiler Publishing Co., 265 @No $ @ @  Subhash J.B. and Vaishana K., Comparison of three plant tissue culture media for efficient mic important tropical medicinal plant, (Lour) Merr., American-Eurasian J. Agricult. Environ. Sci., 8, 474-481 (2010)@No $ @ @  AOAC. Official Method of Analysis Official Analytical Chemist, Washington@No $ @ @  Abu-Shanab B., Adwan G., Abu Abu-Shanab M., Antibacterial activity of  extracts growing in Palestine Journal of the Islamic University of Gaza (Natural Sciences Series), 147(2005)@No $ @ @ Penchala S., Talari S., Guguloth V R.S., International Science Congress Association Phytochemical Screening and Antimicrobial Activity of Leaf Extract of Wrightia tomentosa Sci, 2(3), 23-27 (2013)@No $ @ @  FDA's, Bacteriological Analytical M the agency's preferred laboratory procedures for microbiological analyses of foods and cosmetics,http://www.cfsan.fda.gov/~ebam/bam @No $ @ @ Perez C., Paul M. and Bazerque P.agar– well diffusion method, A(1990)@No $ @ @  Bauer A.W., Kirby W.M., Sherris JAntibiotic susceptibility testing by a standardized singledisk method, Am J Clin Pathol,@No $ @ @  Rojas J.J., Ochao V.J., Ocampo S.A. and Murioz J.F.,Screening for antimicrobial activity ofused in Colombian folkloric medicine: a possiblealternative in the treatment of nonMedellin, Colombia, Department of pharmacy, Universidadde Antioquia, CII.67-53.1080f 1-157 (2005) @No  
<#LINE#>Water Quality Index: an Indicator of Surface Water Pollution in Eastern part of Peninsular Malaysia<#LINE#>M.A.@Hossain,I.M.@Sujaul,M.A.@Nasly<#LINE#>10-17<#LINE#>3.ISCA-RJRS-2013-171.pdf<#LINE#>Faculty of Civil Engineering and Earth Resources, University Malaysia Pahang, Kuantan, MALAYSIA <#LINE#>3/4/2013<#LINE#>11/4/2013<#LINE#> Water quality deterioration in eastern part of peninsular Malaysia especially in Gebeng is the impact of anthropogenic activities due to rapid industrialization. This area is of particular importance in the study of surface water quality because; industrial and municipal wastes, agricultural and run-off from developing areas were mixing with river flow and surrounding water body thereby deteriorating the quality. The aim of the study was to assess the WQI in order to evaluate the water quality of the area for public use, irrigation and other purposes. To fulfill the objectives 240 water samples were collected for 12 months and comprehensive physico-chemical analysis was done using APHA and HACH standard methods of analysis. The WQI was calculated using DOE-WQI based on the concentration of DO, BOD, COD, SS, pH and NH-N. Results showed the sequence of monitoring stations I4 I3 I2 B2 B3 I1 U1 B1 S2 S1based on WQI value; where the first 8 stations (river part) were categorized as class IV (highly polluted) and the last 2 were classified as class III (polluted).  The lowest WQI value was 35.37 and the highest value was 57.53. It was mainly because of low concentration of DO and high concentration of BOD, COD and NH-N due to the industrial activities. The results indicated that the surface water of the areas was highly polluted and according to the INWQS, Malaysia water of the area cannot be used except irrigation. <#LINE#> @ @ Kushwah R.K., Malik S. and Singh A.,Water Quality Assessment of Raw Sewage and Final Treated Water with Special Reference to Waste Water Treatment Plant Bhopal, MP, India, Res. J. Recent Sci., 1(ISC-2011)  , 185-190 (2012) @No $ @ @  Czarra F., Fresh Water: Enough for You and Me? Occasional paper from The American Forum for Global Education, (174 ) 2-10 (2003) @No $ @ @  Biswas A., Jana A.,and Sharma S. P. Delineation of Groundwater Potential Zones using Satellite Remote Sensing and Geographic Information System Techniques: A Case study from Ganjam district, Orissa, India, Res. J. Recent Sci., 1(9), 59-66, (2012) @No $ @ @  Kazi T.G.,  Arain M.B., Jamali M.K., Jalbani N., Afridi H.I., Sarfraz R.A., Baig J.A. and Abdul Q. S., Assessment of water quality of polluted lake using multivariate statistical techniques: A case study, Ecotoxicology and Environmental Safety, 72(2), 301– 309, (2009) @No $ @ @  Singh K.P., Malik A., Mohan D. and Sinha S., Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti river (India): a case study, Water Res., 38(18), 3980–3992, (2004) @No $ @ @  Yisa J. and Jimoh T., Analytical Studies on Water Quality Index of River Landzu, American Journal of Applied Sciences.,  7(4), 453-458, (2010) @No $ @ @  Ramakrishnaiah C.R., Sadashivalah C. and Ranganna G., Assessment of water quality index for the groundwater in Tumkur Taluk, Karnataka State, Indian, J. Chem., 6(2), 523-530, (2009) @No $ @ @  Murhekar G. H., Trace Metals Contamination of Surface Water Samples in and Around Akot City in Maharashtra, India, Res. J. Recent Sci.,1(7), 5-9,(2012) @No $ @ @  Ravichanddran M. and Ganesan J., Ethics and sustainability: a review of water policy and management, American Journal of Applied Sciences,  9(1), 24-31, (2012) @No $ @ @  Department of Environment, Environmental Quality Report, 2010, Chapter 2. River water quality, Kuala Lumpur, Malaysia, (2011) @No $ @ @ Nasly M. A., Hossain M. A., and Mir Sujaul Islam, Water Quality Index of Sungai Tunggak: An Analytical Study, In. Proceeding of 3rd International Conference on Chemical, Biological and Environment Sciences (ICCEBS'2013) Kuala Lumpur Malaysia, 40-44, (2013) @No $ @ @   Hossain M. A., Mir S. I., Nasly M. A., Wahid Z. A., & Aziz E. A., Assessment of Spatial Variation of Water Quality of Tunggak River Adjacent to Gebeng Industrial Estate, Malaysia. Assessment, 501(47), A1-07 (2012) @No $ @ @  Amadi, A. N., Olasehinde P.I., Okosun E.A. and Yisa J., Assessment of the Water Quality Index of Otamiri and Oramiriukwa Rivers, Physics International1 (2), 116-123 (2010) @No $ @ @  Sengupta, M. and Dalwani, R,(edited), Determination of water quality index and sustainability of an urban water body in Shimoga town, Kornataka, Proceedings of Taal 2007: The 12th World Lake Conference, 342-346, (2008) @No $ @ @ Andrew D. Eaton, Lenore S. Clesceri, Eugene W. Rice, Arnold E. Greenberg and Mary Ann H. Franson, Standard methods for the examination of water and wastewater, American Public Health Association (APHA), Washington, USA. (2005) @No $ @ @  HACH Company, Water analysis guide, USA, (2005) @No $ @ @  Patil Shilpa G., Chonde Sonal G., Jadhav Aasawari S. and Raut Prakash D., Impact of Physico-Chemical Characteristics of Shivaji University lakes on Phytoplankton Communities, Kolhapur, India, Res. J. Recent Sci.,1(2), 56-60(2012) @No $ @ @  Khan F, Husain T and Lumb A, Water quality evaluation and trend analysis in selected watersheds of the Atlantic region of Canada, Environ. Monit. and Assess, 88, 221-242, (2003) @No $ @ @  Norhayati Mustapha, Indices for water quality in a river, in Master’s thesis, Asian Institute of Technology, Bangkok, (1981) @No $ @ @  Haque M. A., Huang Y. F. and Lee T. S., Seberang Perai rice scheme irrigation water quality assessment, Journal - The Institution of Engineers, Malaysia., 71(4), 42-49, (2010) @No $ @ @  Booth J. Ashley T., Erika E. McPhee-Shaw, Paul Chua, Eric Kingsley, Mark Denny, Roger Phillips, Steven J. Bograd, Louis D. Zeidberg, William F. Gilly, Natural intrusions of hypoxic, low pH water into near shore marine environments on the California coast. Continental Shelf Research,45 (2012)  108–115, (2012) @No $ @ @ Department of Environment, Interim National Water Quality Standards for Malaysia. DOE, Kuala Lumpur, Malaysia (2008) @No $ @ @  Parihar S.S., Kumar A., Kumar A., Gupta R.N., Pathak M., Shrivastav A. and Pandey A.C., Physico-Chemical and Microbiological Analysis of Underground Water in and Around Gwalior City, MP, India, Res. J. Recent Sci., 1(6), 62-65, (2012) @No $ @ @ Patnaik, K.N., Studies on environmental pollution of major industries in Paradip Area, in Ph.D. Thesis, Utkal University, Bhubneshwar, India, (2005) @No $ @ @  N.K. Nagpal, Technical Report-Water Quality Guideline for Cobalt, Water Protection Section, Water, Air and Climate Change Branch, Ministry of Water, Land and Air Protection, PROV GOVT Victoria BC V8W 9M1, (2004) @No $ @ @  Feifei Wang, Yuanhong Ding, Lei Ge, Hongqiang Ren, Lili Ding, Effect of high-strength ammonia nitrogen acclimation on sludge activity in sequencing batch reactor, Journal of Environmental Sciences., 22(11), 1683–1688, (2010) @No $ @ @  Sujaul Islam Mir, M. A. Hossain, Sobahan M.A., Zularisam, A.W. and Edriyana, A. Aziz, Spatial Variation of Water Quality Parameters in Gebeng Industrial Area, Pahang, Malaysia. In. Proceedings of International Conference  on Environment, Chemistry and Biology IPCBEE, Hong Kong.(2012) @No $ @ @  Otukune, T.V. and C.O. Biukwu, Impact of Refinery Influent on Physico-chemical properties of a water body on Niger Delta, J. Applied Ecol. Environ. Res.,  3(1), 61-72, (2005) @No 
<#LINE#>Analysis of the Number of Dusty days in the West and South West of Iran<#LINE#>Saeed@Movahedi,Afzali@SeyedeMaryam<#LINE#>18-21<#LINE#>4.ISCA-RJRS-2013-185.pdf<#LINE#> Department of Climatology, University of Isfahan, IRAN@ Agricultural Climatology, University of Isfahan, IRAN <#LINE#>9/4/2013<#LINE#>29/5/2013<#LINE#>In this paper 23 synoptic stations that have longest and complete statistical period are used for analysis the maximum dusty days. Two distinct time periods (2001-2005) & (2006-2010) are analyzed. The results show Maximum dusty days happen in the May, June and July in most stations. Most pollution was observed in Oxidize (Pagan) station. Second period, Clearly shows an increase in the number of days in the dust. In addition, Causes of the Dust are explained with Satellite Images and Range of days with dust was shown by Inverse Distance Weighted (IDW) <#LINE#> @ @    Rasoli A., Sarisaraf B. and Hassanmohammadi G., Analysis trend of Dust Phenomenon in west of Iran during recent 55 years by using nonparametric methods, Journal of natural geography, third year, 9, 1-16 (2011)@No $ @ @  Lashkari H. and Key khosravi G., Synoptic Statistical Analysis Dust storm in Khorasan Razavi province during (1993-2005), Journal of natural geography researches, 65,17-33 (2008) @No $ @ @ Tavousi T., Khosravi M., Raispoor K., Synoptic analyze of dusty systems in Khozestan, 20, 97-118 (2011) @No $ @ @  Atai H. and Ahmadi F., Analysis dust as one of the environment problems in Islamic world (case study:Khozestan province), Collection of forth international Islamic Geography World (2010) @No $ @ @  Khoshkish A., Alijani B. and Hejazizadeh Z., Synoptic analyze of dusty systems in Lorestan, Journal of applied geography researches, 18, 91-110 (2011) @No $ @ @  Zolfaghari H. and Abedzadeh H., Synoptic analysis of dusty systems in West of Iran, Journal of Geography and Development, 173-188 (2005) @No $ @ @  Mirshahi D. and Nekonam Z., Statistical analysis of dust phenomen and dusty wind pattern in Sabzevar city, Journal of Association of Iranian Geographers, 22, 83-104 (2009) @No $ @ @  Achudume A.C., and Oladipo B.O., Effects of dust storms on health in the Nigerian, Environment Biology and Medicine, 1(4), 21-27 (2009)@No $ @ @ Wang W. and Fang Z., Numerical simulation and synoptic analysis of dust emission and transport in East Asia, Global and planetary change, 52, 57-70 (2006) @No $ @ @ Lang X., Seasonal prediction of spring dust weather frequency in Beijing, Acta Meteorologica Sinica, 25(5),682-690 (2011) @No 
<#LINE#>Presenting a Method for a Robust Prediction of Time Series Used in Financial Issues in an Automotive Manufacturing Company<#LINE#>Aghaei@Mohammad,Taghizadeh@Ghasem,Asadollahi@Amin,Mojtaba@Noormohammadi,Nima@YazdaniCherati,Firouzidost@Nasrin<#LINE#>22-32<#LINE#>5.ISCA-RJRS-2013-203.pdf<#LINE#>Department of Business Management, Branch, Shahid Beheshti University (SBU), Tehran, IRAN @ Department of Business Management, Science and Research Branch, Islamic Azad University, Tehran, IRAN @ Master of Executive Management Business Administration, Science and research Ayatollah Amoli Branch, Amol, Mazandaran, IRAN<#LINE#>21/4/2013<#LINE#>1/4/2013<#LINE#>For modeling and proper and reliable parametric estimating of self-correlated data and time series, robust methods are used; because of the fact that existence of contaminated data and outliers, has an undesirable effect on estimation of parameters in these models. Since in most financial data past data is effective on recent data, these problems can be implemented by models of time series. In this paper, autoregressive models are considered as a model for the time series. A new robust method is presented based on filtered S optimization approach to estimate the parameters of autoregressive model. Resulted robust model can be used for robust prediction of the future values. Finally, as a numerical example, resulted profit of an intermediate product in 148 months is presented and suggested robust method is applied on it. Robust method, compared to classical methods, shows higher efficiency in predicting future values.<#LINE#> @ @    Box, G.E.P., Jenkins, G.M., Reinsel, G.C., Time series analysis, forecasting and control, Prentice-Hall international, Inc (1994)@No $ @ @ Fox, A.J., Outliers in time series, Journal of the Royal Statistical Society, 34, 350-363 (1972) @No $ @ @  C. Chen and L.M. Liu, Joint estimation of the model parameters and outlier effects in time series, Journal of the American Statistical Association, 88, 284-297 (1993) @No $ @ @ J. Ledolter, Outlier in time series analysis: Some comments on their impact and their detection, Directions in Robust Statistics and Diagnostics, Part I,W. Stahel and S. Weisberg (eds.), 159-165, (1991)@No $ @ @  R.S. Tsay, Outliers, level shifts and variance changes intime series, Journal of Forecasting, 7, 1-20 (1988) @No $ @ @ G.N. Ljung, on outlier detection in time series, Journal of the Royal Statistical Society, 55, 559-567 (1993) @No $ @ @  Brockwell, P.J. and Davis, R.A., Introduction to Time Series and Forecasting, New York: Springer, (1991) @No $ @ @ Hampel, F.R., Ronchetti, E.M., Rousseeuw, P.J. and Stahel,W.A., Robust Statistics: The Approach Based on Influence Functions. New York: John Wiley & Sons, Inc. (1986)@No $ @ @ L. Denby and R.D Martin, Robust estimation of the firstorder autoregressive parameter, Journal of the American Statistical Association, 74, 140-146 (1979)@No $ @ @  R.D. Martin and V.J. Yohai, Robustness in time series and estimating ARMA models, Handbook of statistics, Volume5: Time series in the time domain, E.J. Hannan, P.R.Krishnaiah and M.M. Rao (eds.), Amsterdam: Elsevier(1985)@No $ @ @  P.J. Rousseeuw and V.J. Yohai, Robust regression bymeans of S-estimators, Robust and nonlinear time series analysis, Lecture Note in Statistics, 26, 256-272 (1984) @No $ @ @  M. Salibian-Barrera and V.J. Yohai, A fast algorithm for Sregression estimates, Journal of Computational and Graphical Statistics, 15, .414–427 (2006) @No $ @ @  Wu, B., Model-free forecasting for nonlinear time series (with application to exchange rates) Computational Statistics & Data Analysis, 19, 433-459 (1995) @No $ @ @  G.P. Zhang. Time series forecasting using a hybrid ARIMA and neural network model Neurocomputing, 50, 159 – 175(2003) @No $ @ @  Gujarati, D.N. Basic Econometrics, 4th edition, McGrawHill (2004)@No $ @ @  Giordani, P. and Villani, M., Forecasting macroeconomic time series with locally adaptive signal extraction,International Journal of Forecasting, 26, 312–325 (2010)@No $ @ @  Marcellino, M., Stock, J. H. and Watson, M.W., A comparison of direct and iterated multistep methods for forecasting macroeconomic time series, Journal of Econometrics, 135, 499–526 (2006) @No $ @ @  Karmarkar, U. S., A robust forecasting technique for inventory and lead time Management, Journal of Operations Management, 12, 45-54. (1994) @No $ @ @  Gagn´e C. and Duchesne, P. On robust forecasting in dynamic vector time series models, Journal of Statistical Planning and Inference, 138, 3927 – 3938 (2008)@No $ @ @  Hyndman, R. J. and Ullah, M. S. Robust forecasting of mortality and fertility rates: A functional data approach Computational Statistics & Data Analysis, 51, 4942 – 4956.(2007)@No $ @ @  Chao Z., Hua- sheng H., Wei-min, B. and Luo-ping, Z.Robust recursive estimation of auto-regressive updatingmodel parameters for real-time flood forecasting, Journal ofHydrology, 349, 376– 382 (2008)@No $ @ @  Croux, C., Gelper, S. and Fried, R. Computational aspectsof robust holt-winters smoothing based on M-estimation,Applications of mathematics, 53, 163–176 (2008)@No $ @ @ Gelper, S., Fried, R. Croux, C. Robust Forecasting withExponential and Holt-Winters Smoothing, Journal offorecasting, 29, 285–300 (2010)@No $ @ @  Kharin, Y., Robustness of the Mean Square Risk inForecasting of Regression Time Series, Communications inStatistics - Theory and Methods, 40, 2893-2906 (2011)@No $ @ @  Croux, C., Iren, G. and Koen, M., Robust Forecasting ofNon-Stationary Time Series, Center Discussion PaperSeries No. 2010-105. Available at SSRN:http://ssrn.com/abstract=1690494. (2010)@No $ @ @ Araujo, R.D.A. A robust automatic phase-adjustmentmethod for financial forecasting Knowledge-Based Systemdoi:10.1016/j.knosys.2011.09.004@No $ @ @  Boente, G.L. and Fraiman, R. Discussion of Locantore etal., 1999, Test, 8, 28–35 (1999)@No $ @ @  Seyednezhadfahim S.R., Eghdami E., Yosefnezhad S. andMaleki M., Investigating the Procedure of Financial Factorsin Successful Companies, Research Journal of Recent Sciences, 2(3), 44-48 (2013)@No $ @ @  Eskandar J., Intellectual Capital and its Effects on Firms’market value and Financial Performance in Iran: AnInvestigating Public Model, Research Journal of RecentSciences, 2(3), 1-6 (2013)@No $ @ @  Mangang P.N., Health Beliefs and Perception of Well-beingamong the Lois of Thanga in Manipur, India, ResearchJournal of Recent Sciences, 1(4), 46-52 (2012)@No $ @ @  Nwajei G.E., Okwagi P., Nwajei R.I. and Obi-Iyeke G.E.,Analytical Assessment of Trace Elements in Soils, Tomato  @No 
<#LINE#>Hybrid Heuristic Computational approach to the Bratu Problem<#LINE#>S.A.@Malik,I.M.@Qureshi,M.@Zubair,Amir@M.<#LINE#>33-40<#LINE#>6.ISCA-RJRS-2013-220.pdf<#LINE#>Department of Electronic Engineering, Faculty of Engineering and Technology, International Islamic University, Islamabad, PAKISTAN @ Department of Electrical Engineering, Air University, Islamabad, PAKISTAN @Institute of Signals, Systems and Soft computing, Islamabad, PAKISTAN<#LINE#>26/4/2013<#LINE#>9/5/2013<#LINE#>In this study a stochastic method based on the heuristic computation is applied for solving the Bratu boundary value problem and an initial value problem of the Bratu-type. A mathematical model consisting of unknown adaptable parameters has been developed using the linear combinations of log sigmoid basis functions. The Genetic algorithm (GA), Pattern Search (PS),Interior Point algorithm (IPA), Active Set algorithm (ASA), and three hybrid schemes combining GA with PS, IPA, and ASA have been employed for learning of the unknown adaptable parameters. To demonstrate the efficacy of the presented method,comparisons of the results are made with the some standard analytical methods as well as the exact solutions. The results from the proposed method are found to be satisfactory and comparable to the standard analytical methods. <#LINE#> @ @    Wang Y. G., Song H. F. & Li D., Solving two-point boundary value problems using combined homotopy perturbation method and Green’s function method, Appl. Math. Comput., 212, 366-376 (2009)@No $ @ @  Noor M. A. & Mohyud-Din S. T., Solution of singular andnonsingular initial and boundary value problems by modified variational iteration Method, Math. Prob. Eng.,(2008) @No $ @ @   Deeba E., Khuri S. A. & Xie S., An algorithm for solving boundary value problems, J. Comput. Phys., 159, 125-138(2000) @No $ @ @  Khuri S.A., A new approach to Bratu’s problem, Appl.Math. Comput., 147, 131-136 (2004)@No $ @ @  Wazwaz A. M., Adomian decomposition method for areliable treatment of the Bratu-type equations, Appl. Math. Comput., 166, 652-663 (2005) @No $ @ @  Abukhaled M., Khuri S. A. & Sayfy A., Spline-based numerical treatments of Bratu-type equations, Palestine J.Math., 1, 63-70 (2012)@No $ @ @ Vahidi A. R. & Hasanzade M., Restarted adomian’sdecomposition method for the Bratu-type problem, Appl.Math. Sci., 6, 479-486 (2012)@No $ @ @  Rashidinia J. & Jalilian R., Spline solution of two pointboundary value problems, Appl. Comput. Math., 9, 258-266(2010)@No $ @ @  Noor M. A. & Mohyud-Din S. T., Variational iterationmethod for solving initial and boundary value problems ofBratu-type, Appl. Appl. Math., 3, 89-99 (2008)@No $ @ @  Hassan I. H., Applying differential transformation methodto the one-dimensional planar Bratu problem, Int. J.Contemp. Math. Sci., 2, 1493-1504 (2007)@No $ @ @  Gupta V. G. & Gupta S., Homotopy perturbation transformmethod for solving initial boundary value problems ofvariable coefficients, Int. J. Nonlinear Sci., 12, 270-277(2011)@No $ @ @  Khan J. A., Zahoor R. M. A. & Qureshi I. M., Swarm intelligence for the problems of non-linear ordinarydifferential equations and its application to well known Wessinger’s equation, Euro. J. Sci.. Res., 34, 514-525(2009)@No $ @ @ Ibraheem K. I. & Khalaf B. M., Shooting neural networks algorithm for solving boundary value problems in ODEs, Appl. Appl. Math., 6, 187-200 (2011)@No $ @ @  Khan J. A., Zahoor R. M. A. & Qureshi I. M., Evolutionary computing approach for the solution of initial value problems in ordinary differential equations, World Acad. Sci. Eng. Tech., 31, 574-577 (2009)@No $ @ @  Behrang M.A., Ghalambaz M., Assareh E. & NoghrehabadiA.R., A new solution for natural convection of Darcianfluid about a vertical full cone embedded in porous mediaprescribed wall temperature by using a hybrid neuralnetwork-particle swarm optimization method, World Acad.Sci. Eng. Tech., 49, 1098-1103 (2011)@No $ @ @  Malik S. A., Qureshi I. M., Zubair M. & Haq I., Solution toforce-free and forced duffing-van der pol oscillator usingmemetic computing, J.Basic. Appl. Sci. Res., 2, 11136-11148 (2012)@No $ @ @  Mitchell M., Genetic Algorithms: An Overview,Complexity, 1, 31-39 (1995)@No $ @ @ Al-Othman A. K. & EL-Nagger K. M., Application ofpattern search method to power system security constrainedeconomic dispatch, Int. J. Eng. Appl. Sci.,4, 25-30 (2008)@No $ @ @  Torczon V., On the convergence of pattern searchalgorithms, SIAM, J. Optim.,7, 1-25 (1995)@No $ @ @ Lesaja G., Introducing interior-point methods forintroductory operations research courses and/or linearprogramming courses, The Open Oper. Res. J., 3, 1-12(2009)@No $ @ @ Wong E., Active set methods for quadratic programming,Ph.D. Thesis, University of California, San Diego, (2011) @No 
<#LINE#>A solution to determining the reliability of products "Using Generalized Lambda Distribution"<#LINE#>M.M.@Movahedi,M.R.@Lotfi,M.@Nayyeri<#LINE#>41-47<#LINE#>7.ISCA-RJRS-2013-227.pdf<#LINE#>Management Department, Firoozkooh Branch, Islamic Azad University, Firoozkooh, IRAN @ Industrial Engineering Dep., Firoozkooh Branch, Islamic Azad University, Firoozkooh, IRAN<#LINE#>30/4/2013<#LINE#>15/5/2013<#LINE#>  At the end of the manufacturing cycle, performance tests are often carried out to ensure that the product meets or exceeds all specified performance parameters. In addition to initial performance, customers are interested in knowing how long the product will last, how many products will fail per year, and how many will last more than some number of years. One method for determining the reliability is the application of statistical distributions. Of the most significant and common distributions currently utilized are normal, weibull, exponential, and lognormal distributions, which are used to study most of the products’ and systems’ reliability. However, there are products that do not follow a specified lifetime distribution and cannot be investigated by these distributions. Instead, Generalized Lambda Distribution (GLD) can be deployed to investigate the identified and unidentified distributions, so it can resolve the problem. In this research, we introduce a method for determining the reliability, using GLD in a practical and operational way. <#LINE#> @ @ Besterfield and Dale H., Quality Control fifth edition, Prentice Hall, Upper Saddle River, New Jersey, Columbus, Ohio, (1979) @No $ @ @ Barlow R.E. and Proschen J.A., Statistical theory of reliability and life testing, Holt, Rinehart, and Winson, New York, (1975) @No $ @ @ Johnson N.L. and Kots S., Continuous univariate distributions, Vol. 1 and 2, Houghton Miffin, Boston, 1970) @No $ @ @  Harrison M., Wadsworth, Kenneth, S. Stephens, A. Blanton Godfrey, Modern Methods for quality control and improvement, John Wiley & sons, Inc, (2002) @No $ @ @  Fournier B., Rupin N., Bigerelle M., Najjar D., Iost A. Wilcox R., Estimating the parameters of a generalized lambda distribution, Computational Statistics & Data Analysis (51), 2813 – 2835 (2007) @No $ @ @  Nili Ahmadabadi M., Farjami Y. and Bamenimoghadam M., Preparation of control chart based on the generalized lambda distribution, Pajouheshgar, Quarterly scientific journal of management, ), 61-74, In Persian, (2009) @No $ @ @  Tukey J.W., The future of data analysis, annals of mathematical statistics, 33), 1-67 (1962) @No $ @ @  Joiner B.L. and Rsenblatt J.R., Some properties of the range in samples from Tukey’s symmetric lambda distribution, Journal of the American statistical association (66), 394 (1971) @No $ @ @  Ganeshan R., Are more supplier better? Generating the Gau and Ganeshan procedure, J., Oper. Res. Soc., (52), 122-123 (2001) @No $ @ @  Delaney H. D. and Vargha A., The effect on non-normality on student’s two-sample t-test the annual meeting of the American educational research association, New Orlean, 2000) @No $ @ @  Ozturk A. and Dale R.F., A study of fitting the generalized lambda distribution to solar radiation data, J. Appl. Meteorol. (21), 995-1004 (1982) @No $ @ @  Fournier B., Rupin N., Bigerelle M., Najjar D. and Iost A., Application of the generalized lambda distribution in a statistical process control methodology, J. Process control, 16), 1087-1098 (2006) @No $ @ @  Gawand H., Mundada R.S. and Swaminathan P., Design Patterns to Implement Safety and Fault Tolerance, International Journal of Computer Applications, 18), 2011) @No $ @ @  Dengiz B., The generalized lambda distribution in simulation of m/m/1 queue systems, J. Fac. Engng. Arch., Gazi univ. (), 161-171 (1988) @No $ @ @  Zaven A., Karian and Edvard, J., Dudewiz, Fitting statistical distributions The generalized lambda distribution and generalized bootstrap methods, CRC press, (2000) @No $ @ @  Thakur N.S., Yadav K. and Pathak S., On Mean Estimation with Imputation in Two- Phase Sampling Design, Re. J. of Mathematical and Statistical Sci., ), 1-9 (2013) @No $ @ @  Rekha R.C. and Vikas S., Retailer’s profit maximization Model for Weibull deteriorating items with Permissible Delay on Payments and Shortages, Re. J. of Mathematical and Statistical Sci., ), 16-20 (2013) @No $ @ @  Roman U.C., Porey P.D., Patel P.L. and Vivekanandan N., Assessing Adequacy of Probability Distributional Model for Estimation of Design Storm, ISCA J. of Engineering Sci., ), 19-25 (2012) @No $ @ @ Bigerelle M., Najjar D., Fournier B., Rupin N. and Iost A., Application of lambda distribution and bootstrap analysis to the prediction of fatigue lifetime and confidence intervals, Internet. J. Fatigue (28), 223-236 (2006) @No $ @ @  Karvanen J. and Nuutinen A., Characterizing the generalized lambda distribution by L-moments, Math. ST, (2008)   @No $ @ @  Karian Z.A. and Dudewicz E.J., Fitting statistical distributions: the generalized lambda distribution and generalized bootstrap method, CRC press, (2000) @No $ @ @  Tarsitano A., Estimation of the generalized lambda distribution parameters for grouped data, J. ofCommunication in statistics theory and methods, (34), 1689-1709 (2005) @No $ @ @  Lakhany A. and Mausser H., Estimating the Parameters of the Generalized Lambda Distribution, J. of Algo Research Quarterly, ), 47-58 (2000) @No $ @ @  Ramberg J. and Schmeiser B., an approximate method for generating asymmetric random variables, Communications J. of the ACM, ), 78-82 (1974) @No
@Research Article
<#LINE#>Dynamical Features and Vaccination Strategies in an SEIR Epidemic Model<#LINE#>Roman@Ullah,Gul@Zaman,Saeed@Islam,Ahmad@Imtiaz<#LINE#>48-56<#LINE#>8.ISCA-RJRS-2013-037.pdf<#LINE#> Department of Mathematics, Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa, PAKISTAN@ Department of Mathematics, University of Malakand, Chakdara, Dir, Khyber Pakhtunkhwa, PAKISTAN <#LINE#>1/2/2013#LINE#>30/4/2013<#LINE#>An epidemic model with a vaccination program is investigated in thispaper. The vaccine induced reproduction number R0(k) is determined and the impact of vaccination in reducing R0(k) is discussed. The local and global stabilitiesof both the disease-free and endemic equilibrium are derived. A control problem is formulated to control the disease by using anoptimal control theory. Numerical simulations and optimal analysis of the model show that proper use of control measurescan significantly decrease the number of infected humans. <#LINE#> @ @   Kar T.K., Batabyal A., Stability analysis and optmal controlof an SIR epidemic model with vaccination, Biosystems104, 127-135 (2011)@No $ @ @   Ullah R., Zaman G., Islam S., Global dynamics of avianhumaninfluenza with horizontal transmission in humanpopulation, Life Sci. J. 9, 5747-5753 (2012)@No $ @ @   Zaman G., Kang Y.H. and Jung I.H., Stability analysis andoptimal vaccination of an SIR epidemic models,BioSystems 93, 240-249 (2008)@No $ @ @   Riedel S., Edward Jenner and the history of smallpox andvaccination, Proceedings, 18, 21–25 (2005)@No $ @ @   Shulgin B., Stone L., Agur Z., Pulse vaccination strategy inthe SIR epidemic model, Bull. Math. Biol. 60, 1123-1148(1998)@No $ @ @   Kribs-Zaleta C.M., Velasco-Hernandez J.X., A simplevaccination model with multiple endemic states, Math.Biosci., 164, 183-201 (2000)@No $ @ @   Farrington C.P., On vaccine efficacy and reproduction numbers, Math. Biosci., 185, 89-109 (2003) @No $ @ @   Lasalle J.P., The Stability of Dynamical Systems, SIAM, Philadelphia PA (1976) @No $ @ @  Ullah R., Zaman G., Islam S., Prevention of influenza pandemic by multiple control strategies, J. Appl. Math.,vol 2012, Article ID 294275, 14 pages,doi:10.1155/2012/294275 (2012)@No $ @ @   Zaman G., Khan M.A., Islam S., Jung I.H., Chohan M.I.,Modeling dynamical interactions between leptospirosisinfected vector and human population, Appl. Math. Sci. 26,1287-1302 (2012)@No $ @ @   Pontryagin L.S., Boltyanskii V.G., Gamkrelidze R.V.,Mishchenko E.F., The Mathematical Theory of OptimalProcesses, Wiley, Hoboken, NJ, USA, (1962) @No
<#LINE#>A Step towards Better Understanding and Development of University Ontology in Education Domain<#LINE#>Narmeen@ShawooBawany,Nazish@Nouman<#LINE#>57-60<#LINE#>9.ISCA-RJRS-2013-047.pdf<#LINE#>Computer Science and IT Department, Jinnah University for Women, 5C, Nazimabad, Karachi, PAKISTAN<#LINE#>11/2013#LINE#>6/5/2013<#LINE#>The sheer amount of data on the web, together with its distributed, redundant and inaccurate nature, makes using theinformation within rather cumbersome. This problem is often referred to as information overload". Though, this problem islargely being addressed by many advance technologies but they operate on text based searching ignoring the meaning of thedata. These technologies lack ability to perform meaningful analysis and filtering of data, there by presenting results thatonly human can process and not machine. The objective of semantic web initiative was to provide meaningful web that canbe processed by machines and humans equally. The web, which can judge the intent of human user and provide results thatfulfill the information requirement accordingly. RDF/RDFS and OWL has been developed in order to facilitate thisapproach. Conceptual schemas known as ontologies are created for providing meaningful structure of data. Researcherswith the help of domain experts have developed ontologies for many domains. However, there is a potential to createheterogeneous ontologies on a same domain as no common criteria exists for building ontologies. This paper presents a casestudy for the derivation and implementation of ontology in higher education domain. Author discusses the key concepts of thedomain along with its data and object properties. Model is implemented in OWL 2.0 using protégé 4.0. This paper covers themajor aspects of University domain including super class and subclass hierarchy, creating a subclass instances for classillustration, properties and their relations etc. <#LINE#> @ @    Developing an University Ontology in Education Domainusing Protégé for Semantic Web Sanjay Kumar Malik,Nupur Prakash, S.A.M Rizvi, International Journal ofEngineering Science and Technology, 2(9), (2010)OntoEdu: A Case Study of Ontology-based Education GridSystem for E-Learning Cui Guangzuo, Chen Fei, Chen Hu,Li Shufang (2004)@No $ @ @  Research Directions on Semantic Web and Education IgIbert Bittencourt, Seiji Isotani, Evandro Costa, RiichiroMizoguchi, Federal University of Campina Grande,Scientia:Interdisciplinary Studies in Computer Science(2008)@No $ @ @ Study on Construction of University Course Ontology:Content, Method and Process Ling Zeng, Tonglin Zhu, XinDing, IEEE, Computational Intelligence and SoftwareEngineering, (2009)@No $ @ @  Modeling the Impact of Online Social MarketingCampaigns on Consumers’ Environmentally FriendlyBehavior, Res. J. Recent Sci., 2(3), 14-21 (2013)@No $ @ @ HBVO: Human Biological Viruses Ontology SheikhKashif Raffat, Mohd. Shahab Siddiqui, Mohd. Siddiq,Zubair A. Shaikh and Abdul Rahman Memon, Res. J.Recent Sci., 1(10), 45-50 (2012)@No $ @ @  Towards the Development of Web-based OntologyDevelopment and Editing (WODE) Tool Sheikh KashifRaffat, Muhammad [4]Shahab Siddiqui, MuhammadSiddiq and Farhan Shafiq, Res. J. Recent Sci., , 1(12), 67-69 (2012)@No $ @ @  Enhanced Bluetooth Technology to Assist the High WayVehicle Drivers, Nagadeepa N., Res.J.RecentSci., 1(8), 82-85 (2012)@No $ @ @   Modeling the Impact of Online Social MarketingCampaigns on Consumers’ Environmentally FriendlyBehavior, Orzan G., Serban C., Iconaru C. and MacoveiO.I., Res. J. Recent Sci., 2(3), 14-21 (2013) @No   
<#LINE#>Knowledge Management for Disaster Scenario: An Exploratory Study<#LINE#>Farhan@Shafiq,Ahsan@Kamran<#LINE#>61-66<#LINE#>10.ISCA-RJRS-2013-140.pdf<#LINE#>Department of Computer Science and I.T, Federal Urdu University of Arts, Sciences and Technology, MSC Block, Block 9, Gulshan-e-Iqbal,Karachi, PAKISTAN<#LINE#>19/3/2013<#LINE#>30/4/2013<#LINE#>As a human being we all are believe that natural disasters cannot be eliminated from the earth. But losses can be minimizedby reducing response time to a disaster. In a couple of years natural disaster occurrence frequency is increased due toclimate changes. When a disaster took place, it is necessary to start the relief work at affected site to save more and morelives. Effective communication, collaboration between different departments, NGO’s and communities can reduce andminimize the losses of lives and property. Information Communication Technology (ICT) and Mobile Technology (MT) canplay a vital role in DM. The aim of this research is to explore existing DM systems (DMS) and investigation of currenttechnology contributing in development of DMS. Study of variety of DMS gives the opportunity to address the problems in existing DMS as well as discover the immediate needs to enhance the DMS. One of the objectives is to anticipate, collect andanalyze the requirements to develop a model for disaster management on the basis of enterprise architecture (EA).Additional challenges are evolution of the proposed model with the help of prototype or simulation of latest technology. <#LINE#> @ @   Joshi S.R., Natural Disasters in North-East Region and itsManagement: An Essay, Centre for Science Education,North Eastern Hill University Bijni Complex,Laitumkhrah,Shillong – 793 003, Meghalaya (2008)@No $ @ @  Wickramasinghe N., Bali R.K., Naguib R.N.G.,Application of Knowledge Management and theIntelligence Continuum for Medical Emergencies andDisaster Scenarios, Proc. of the 28th IEEE EMBS AnnualInt. Conf. New York City, USA, Aug 30-Sept 3, (2006)@No $ @ @  Kumar S., Himanshu S.K. and Gupta K.K. Effect ofGlobal Warming on Mankind - A Review, InternationalResearch Journal of Environment Sciences, 1(4), 56-59(2012)@No $ @ @  The International Federation of Red Cross and Red Crescent Societies (IFRC), www.ifrc.org, Access on 25/10/2012@No $ @ @  Wattegama C. ICT for Disaster Management.UnitedNations Development Programme – Asia-PacificDevelopment Information Programme (UNDP-APDIP)and Asian and Pacific Training Centre for Information andCommunication Technology for Development (APCICT) –(2007)@No $ @ @  Warfield C., The Disaster Management Cycle. at:http://www.gdrc.org/uem/disasters/1-dm_cycle.html,(2005), Accessed on 15/10/12@No $ @ @  Richa A., Anil G. and Mohammad Y. Flood Resiliencethrough Climate-change adaptation: A case of Gorakhpur,Eastern Uttar Pradesh in India, International ResearchJournal of Environment Sciences, 1(2), 25-28 (2012)@No $ @ @ Niazi A., Digital Disaster Management Ecosystem-aFuturistic Approach for Improving the DisasterManagement System in Pakistan, 4th IEEE Int. Conf. onDigital Ecosystems and Technologies (2010) @No $ @ @ Abbas S.A., Ehsan N., Ali S.Z. and Mirza E., DisasterRisk Management and Role of Pakistan's Corporate Sector,IEEE (2010)@No $ @ @  Himayatullah K. and Abuturab K., Natural hazards anddisaster management in Pakistan , at http://mpra.ub.unimuenchen.de/11052/MPRA Paper No. 11052,(2008),Accessed 15/10/2012@No $ @ @ Smithson P., Addison K. and Atkinson K., Fundamentalsof the Physical Environment, Third Edition, RoutledgcTaylordr Francis Group. London. UK. (2002)@No $ @ @  Chandio A.F., Shu L.Y., Memon N.M. and Khawaja A.,GIS Based Route Guiding System for Optimal PathPlanning in Disaster/Crisis Management, IEEE, (2006)@No $ @ @  XUAN W., CHEN X. and ZHAO G., Early WarmingMonitoring and Management of Disasters. Geosci. andRemote Sensing Symp., IGARSS 2007, IEEEInternational, 2996 - 2999 (2007)@No $ @ @  Weaver A.C., Boyle J.P. and Besaleva L.I., Applicationsand Trust Issues when Crowdsourcing a Crisis, Comp.Comm. and Networks (ICCCN), 21st Int. Conf. on July 302012-Aug. 2 2012, Page(s): 1-5 (2012)@No $ @ @  Shafiq F., Raffat S.K. and Shahab M., Semantic Grid forBiomedical Ontologies, Int. Jour. of Comp. App., (0975 –8887) 23(5), (2011)@No $ @ @  Sobanski E. and Nicolai B., Mobility of a Disaster RecoverCommunication System. Global Humanitarian TechnologyConference (GHTC), Page(s): 450- 461, IEEE, (2011)@No $ @ @  Pinheiro P.R. Gomes O.J., Borges M.R.S. and Canós J.H.The Design of Collaboration Support Between Commandand Operation Teams during Emergency Response. Comp.Supp. Coop. Work in Design (CSCWD), 14th Int. Conf. on14-16 April 2010, Page(s): 759-763 (2010)@No $ @ @ Hussain M., Arsalan M.H., Siddiqi K., Naseem B. andRabab U. Emerging Geo-Information Technologies (GIT)for Natural Disaster Management in Pakistan: AnOverview. Recent Advances in Space Technologies,RAST 2005. Proc. of 2nd Int. Conf. on 9-11 June 2005,Page(s): 487 – 493, IEEE (2005)@No $ @ @  Chatfield A., Wamba S.F., and Tatano H. ,E-GovernmentChallenge in Disaster Evacuation Response: The Role ofRFID Technology in Building Safe and Secure LocalCommunities. System Sciences (HICSS), 2010 43rdHawaii Int. Conf. on 5-8 Jan. 2010 , Page(s): 1- 10, IEEE,(2010)@No $ @ @  Lu W., Seah W.K.G., Peh E.W.C. and Ge Y.Communications Support for Disaster RecoveryOperations using Hybrid Mobile Ad-Hoc Networks. LocalComputer Networks, LCN 2007. 32nd IEEE Conference on15-18 Oct. 2007 Page(s): 763- 770, IEEE, (2007)@No $ @ @ Haider W., Sharif M., Raza M., Wahab A., Hussain J.,Khan I. A. and Zia U. The Realization of Personalized ELearningplatform based on 3G Mobile phone and NGNcontrol frame work for SIP based IP Networks, ResearchJournal of Recent Sciences, 2(2), 85-89 (2013)@No $ @ @  Nagadeepa N.Enhanced Bluetooth Technology to Assistthe High Way Vehicle Drivers, Research Journal ofRecent Sciences, 1(8), 82-85 (2012)@No  
<#LINE#>Spiritual Intelligence of Tabriz Azad University Educators in Relation to their Professional Uplifting<#LINE#>Elahi@MuhammadHusseinNoure, Halim@YounessMohadjjel,Mehdi@Aghapour<#LINE#>67-72<#LINE#>11.ISCA-RJRS-2013-158.pdf<#LINE#>Educational Administration Department, Science and Research Branch, Islamic Azad University, Tehran, Iran@Islamic Azad University, Ahar Branch, Tehran, IRAN <#LINE#>28/3/2013<#LINE#>28/4/2013<#LINE#>There is a general concord that learning is a lifelong process and a school trainer’s best practice includes devotion tolifelong learning and an obligation to personal and professional development. For this trainers must be equipped withenough practical knowledge, skill and efficiency in order to do well their duties. One of the critical angles involved in theuplifting of a healthy, sound and safe and individually responsible and successful people is Spiritual Intelligence. In thispaper with a sample of 119 Tabriz Azad University Educators results showed that there is a bold affirmative relationshipbetween spiritual intelligence and professional uplifting of Tabriz Azad University Educators. <#LINE#> @ @   Fred A., Effect of Spiritual Intelligence on AcademicPerformance, Institute of Clinical Psychology/ Universityof Chicago, (2006)@No $ @ @ Goleman D., Working with Spiritual intelligence, NewYork: Bantam, (2006)@No $ @ @  Mayer J.D. and Salovey P., What is spiritual intelligence?In P. Salovey & D. Sluyter (eds.): Spiritual uplifting andspiritual intelligence: Implications for trainers New York:Basic Books, (2007)@No $ @ @ Samuel O. Salami, Spiritual Intelligence and self efficacyto work attitudes among Tabriz Azad University Educatorsin North Western Azerbaijan, Essays in Education, 20(2011)@No $ @ @ Sarma K.S., Public Service and Intelligence, Yojana,November Issue, 45 (2011)@No $ @ @ Sarma K.S., Modernizing and Moving ahead (interview),Frontline, October 7, 98 (2011)@No $ @ @  Sambadan V.S., For that old Spirit, Frontline, January 27,87, (2011)@No $ @ @  Singh, Govind, Community and Spirit, SPAN, Jan/Feb,46, (2012)@No $ @ @  Tully, Mark, Spirituality and Success, Vidura April/Jun,issue, 43, no 2, 29, (2012)@No $ @ @  Wilson, Jane, Success of Educational Institutes bySpirituality, 1, no 2, 39, (2012)@No $ @ @  Ali, A. Concept of Leadership in Organizations-PrevailingViews. Res.J.Re.Sci.,1(1),80-83,April (2013)@No $ @ @  Irshad A.A. and Shahida P., Teacher Education in the Ageof Globalization, Res.J. Educational Sci., 1(1), 8-12,(2013)@No $ @ @  Richharia.K, Maheshwari. A. Talent Upliftment’s MainFactor, Res.J. Educational Sci.,1(1), 13-14, April (2013)@No $ @ @  Kongala, R., Motivation and Workforce Performance inIndian Industries, Res. J. Management Sci., 2(4), April(2013)@No $ @ @  Minj Hemant, P. Role of Knowledge and Information inPromoting Sustainable Development, Int. Res. J. SocialSci., 2(2) 52-55 (2013) @No 
<#LINE#>A Comparative Study of Judicial Evaluation of Testimony in Islamic and Positive Law<#LINE#>Rahim@Mokhtari,Abbas@Karimi,Ebrahim@Taghizaadeh<#LINE#>73-80<#LINE#>12.ISCA-RJRS-2013-199.pdf<#LINE#>Payamenoor University, Faculty member of Islamic Azad University, Abadeh, Fars, IRAN@ Tehran University, Flat 35, No 297, Bustan Building, Pasdaran Ave, Tehran, IRAN@Payamenoor University, Province Payamenoor, 40 Imam Khomeini Ave, Mashhad, IRAN<#LINE#>20/4/2013<#LINE#>30/5/2013<#LINE#>In new legislations, there is a trend to enhance the power of the civil judge as in criminal affairs and have more trust in himin order to discover the truth. Therefore, the rules limiting the judge’s diagnostic power are decreasing, in such a way thatthe traditional view based on separating criminal cases from civil lawsuit has disappeared in proving. The positive lawsystem of Iran, following Islam, the constitutional and legal principles of which are sincere and conscience confidence of thejudge based on free evaluation of evidence and impressed by the world’s legal system, is moving fast toward the freeevidence system to find the truth and administer justice. Its feature is free legal evaluation of the evidence to help the judge to evaluate any evidence such as testimony. <#LINE#> @ @     David F., Chavkinan J. and Bell P., Comparative andAnalysis of US and Jordanian, Civil Procedure andEvidence Law, USAID, Jordan, Rec.J. Nasaq Rules of LawProject, 70 (2002)@No $ @ @ Mohaqqeq Damad M., Jurisprudence Rules, Legal Sectio(3), third edition, Tehran: Islamic Sciences Publications, 16(2005)@No $ @ @ Croze H. Et Morel C,, Procedure Civile, Paris, PUF, n194,(1998)@No $ @ @ Marqas S., Osool Isbat va Ijra’ Fi-Al-Mavad Al-MadinahFi-Al-Qanun Al-Misri Moqarenan Tanzimat Saye-AlBilad-Al-Arabiyah,Cairo,’Alam-Al-Kitab,15(1981)@No $ @ @ Pradel J., Droit Penal Compare, 2eme edition, Paris: Dalloz,534, (2002)@No $ @ @ Parvin F., Justice Detection Configujaration in ReligiousSociety and its Comparative Study with Non-ReligiousCommunities, twelfth year, Rec. J. T UniversityPublications, Law School, 267 (2007)7. 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<#LINE#>Tuning Fuzzy Control Rules via Genetic Algorithms: An Experimental Evaluation<#LINE#>Pitalúa@Díaz N.,Lagunas@ JiménezR.,González@Angelesa<#LINE#>81-87<#LINE#>13.ISCA-RJRS-2013-211.pdf<#LINE#>Departamento de Ingeniería Industrial-Programa ingenieríamecatrónica, Universidad de Sonora, Unidad Regional Centro, Hermosillo, Sonora,MÉXICO@ Facultad De Ingeniería Universidad Autónoma De Campeche, Campeche, Campeche, MÉXICO@ Facultad de Ingeniería Campus Mexicali, Universidad Autónoma de baja California, Mexicali, Baja California, MÉXICO <#LINE#>22/4/2013<#LINE#>26/5/2013#LINE#>In this article, a simple genetic algorithm is used to solve an optimization problem that minimizes an objective function, withthe purpose of obtaining the rule base of a fuzzy controller. The plant under consideration is an experimental direct currentservosystem. The variable to be controlled is the load angular position. The objective function used here is the criterion IAE(Integrated Absolute Error). The genetic algorithm operates with populations who respond to consequents of the rule base. <#LINE#> @ @  Lee C.C., Fuzzy Logic in Control Systems: Fuzzy Logic inController-Part 1, Transactions on Systems, Man,andCybernetics, 20(1), 404-418 (1990)@No $ @ @ Lee C.C., Fuzzy Logic in Control Systems: Fuzzy Logic inController-Part 2, Transactions on Systems, Man, andCybernetics, 20(2), 419-435 (1990)@No $ @ @ ShahaboddinShamshirband and Ali Za'fari, Evaluation ofthe Performance of Intelligent Spray Networks Based OnFuzzy Logic, Res.J.Recent Sci., 1(8), 77-81(2012)@No $ @ @ Sharifi M. and Shahriari B., Pareto Optimization of Vehicle Suspension Vibration for a Nonlinear Half-car Model Using a Multi-objective Genetic Algorithm, Res. J. Recent Sci.,1(8), 17-22 (2012)@No $ @ @ Zhan J. Y. and Li Y., Application of Genetic Algorithm inOptimization of Fuzzy Control Rules, Proceedings of theSixth International Conference on Intelligent SystemsDesign and Applications, (ISDA06)(2006)@No $ @ @ Karr C.L, Design of a Adaptive fuzzy logic controller usinga genetic algorithm, Proceedings of the FourthInternational Conference on Genetic Algorithms, MorganKaufmann, San Mateo CaliforniaUSA (1991)@No $ @ @ Lagunas-Jiménez R. and Pitalúa-Díaz N., Tuning FuzzyControl Rules via Genetic Algorithms, Electronics,Robotics, and Automotive Mechanics Conference,Cuernavaca, Morelos, México, september (CERMA)(2007)@No $ @ @ Kuri Morales A., A Comprehensive Approach to GeneticAlgorithms in Optimization and Learning Theory andapplications, Instituto Politecnico Nacional, México,1(1999)@No $ @ @  Lagunas R., Fernández_Anaya G. and MartínezGarcía J.C.,Experimental Evaluation of a Mixed H2/H&#8734;-Based PIDUsing Genetic Algorithms, Proceedings of the IASTEDInternational Conference, Circuits, Signals and Systems,May 19-21, Cancun México (2003)@No $ @ @ Chen C., Linear System Theory and Design, OxfordUniversity Press, Third Edition (1999)@No $ @ @ Fuzzy Logic Toolbox user’s guide, Mathworks Inc.,USA(2007)@No $ @ @ Bhattacharya Sourabh, Applications of DSTATCOM UsingMATLAB/Simulation in Power System, Res. J. Recent Sci.,1(ISC-2011), 430-433 (2012) 13. Mamdani, E. H., Application of Fuzzy Algorithm forControl of Simple Dynamic Plant, Proc. IEE.,121(12),1585-1588(1974)@No $ @ @ Mamdani, E. H.and assilian, A Fuzzy Logic Controller for aDynamic Plant, Intl. J. Man Machine stud., 1-13(1975)@No $ @ @ Passino M. K., Yurkovich S., Fuzzy Control, AddisonWesley,USA(1998)@No $ @ @  PatilPallavi and Ingle Vikal, Obtaining a high AccurateFault Classification of Power Transformer based onDissolved Gas Analysis using ANFIS, Res.J.Recent Sci.,1(2), 97- 99(2012)@No $ @ @ Pedrycz W., Fuzzy control and Fuzzy systems, John Wiley& Sons Inc. second edition, USA(1996)@No $ @ @ CPU12 Reference Manual, MOTOROLA Inc. (1997) @No  
@Review Paper
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<#LINE#>A Method in Security of Wireless Sensor Network based on Optimized Artificial immune system in Multi-Agent Environments<#LINE#>Morteza@Jaderian,Hossein@Moradzadeh,Kasra@Madadipouya,Mohammad@Firoozinia,Shamshirb,Shahaboddin<#LINE#>99-106<#LINE#>15.ISCA-RJRS-2013-161.pdf<#LINE#>Department of Computer Science, Tabarestan University of Chalous, IRAN@School of Engineering and Technology, Asia Pacific University of Technology and Innovation, MALAYSIA@Institute of Bioscience, University Putra Malaysia, MALAYSIA@Faculty of Computer system and Information Technology, University Of Malaya, MALAYSIA <#LINE#>29/3/2013<#LINE#>3/5/2013<#LINE#>Security in computer networks is one of the most interesting aspects of computer systems. It is typically represented by theinitials CIA: confidentiality, integrity, and authentication or availability. Although, many access levels for data protectionhave been identified in computer networks, the intruders would still find lots of ways to harm sites and systems. Theaccommodation proceedings and the security supervision in the network systems, especially wireless sensor networks havebeen changed into a challenging point. One of the newest security algorithms for wireless sensor networks is ArtificialImmune System (AIS) algorithm. Human lymphocytes play the main role in recognizing and destroying the unknownelements. In this article, we focus on the inspiration of these defective systems to guarantee the complications security usingtwo algorithms; the first algorithms proposed to distinguish self-nodes from non-self ones by the related factors and thesecond one is to eliminate the enemy node danger.The results showed a high rate success and good rate of detecting forunknown object; it could present the best nodes with high affinity and fitness to be selected to confront the unknown agents. <#LINE#> @ @    Azgomi MA, Khalili A., Proceedings of the First Workshopon Formal Methods for Wireless Systems, Electronic Notesin Theoretical Computer Science., 242(2), 31–42 (2009)@No $ @ @ Fesharaki M., Alipour G.H. and Rashidi A.J., Sensorintelligent selection service in the battlefield based ongenetic algorithms and neural networks”, 3rd Conference ofIran's Scientific Society of Command, Control,Communications, Computers and Intelligences (2009)@No $ @ @ Greensmith J., New Frontiers For An Artificial ImmuneSystem', Master’s Thesis, supervised by Dr. Steve Cayzerand Dr. Jason Noble, University of Leeds and HewlettPackard Labs, Bristol (2003)@No $ @ @ Dasgupta D., Artificial Neural Networks and ArtificialImmune Systems: Similarities and Differences,IEEEInternational Conference on Systems, Man andCybernetics, Orlando, Florida, 1(12), 873-878 (1997)@No $ @ @ Zheng J., Chen Y. and Zhang W., A Survey of artificialimmune applications, Artificial Intelligence Revie.,34(1), 19-34 (2010)@No $ @ @ Watkins A. and Timmis J., Exploiting Parallelism Inherentin AIRS, an Artificial Immune Classifier, In Proceedings ofthe 3rd International Conference on Artificial ImmuneSystems (ICARIS2004) held in Catania, Italy, LectureNotes in Computer Science (LNCS), 3239 (2004)@No $ @ @ Aickelin and Dipankar Dasgupta, Chapter 13: ArtificialImmune Systems” MATHEMATICS AND STATISTICS,Search Methodologies, 1st ed. Corr. 2nd printing, VI, 620p. 99 illus., Springer (2005)@No $ @ @ Dasgupta D., Gonzalez F., Vemuri Ed V.R., ArtificiaImmune Systems in Intrusion Detection, from the book,Enhancing Computer Security with Smart Technology,165-208 (2005)@No $ @ @ Ramakrishnan S. and Srinivasan S.,Intelligent agent basedartificial immune system for computer security--a review,32(1-4),13-43 (2009)@No $ @ @ Dasgupta D., Immunity-Based Intrusion Detection Systems:A General Framework, Twenty-second NationalInformation Systems Security Conference (NISSC), 147-160 (1999)@No $ @ @ Katenka N., Levina E. and Michailidis G., TrackingMultiple Targets Using Binary Decisions from WirelessSensor Networks, American Statistical Association, (2009)@No $ @ @ Javadzadeh R. and Meybodi M.R., Memetic ArtificialImmune Systems., Proceedings of The Third JointCongress on Fuzzy and Intelligent Systems, University ofYazd, Yazd, Iran (2009) @No
@Mini Review Paper
<#LINE#>A Study of Kafka’s the Metamorphosis in the Light of FreudianPsychological Theory<#LINE#>Barfi@Zahra,Fatemeh@Azizmohammadi,Hamedreza@Kohzadi<#LINE#>107-109<#LINE#>16.ISCA-RJRS-2013-202.pdf<#LINE#>Department of English Literature, Arak Branch, Islamic Azad University, Arak, IRAN<#LINE#>20/4/2013<#LINE#>28/4/2013<#LINE#>The aim of this manuscript is to consider Kafka’s The Metamorphosis in the light of Freudian psychological theories.Specifically, The Metamorphosis will be seen as Kafka’s own autobiography. The Metamorphosis is the dramatization ofGregor’s inner world, the world which is depicted by Kafka is the world of unconscious. Freud defined the unconscious as aworld in which our suppressed wills, feelings, horrors, drives and conflicts are hold. Why Gregor transferred in to a biginsect? Why he was killed by his father? Why he knows himself responsible for family financial problem? This paper aims toanswer all these questions. <#LINE#> @ @   Nabokov, V. Franz Kafka: The Metamorphosis. In F.Bowers ed., Lectures on Literature, San Diego: HarcourtBrace Jovanovich, 251-283 (1980)@No $ @ @ Kafka, Franz. Dearest Father, Trans. Hannah and RichardStokes, London: One World Classics LTD, 55, 21, 80, 40,55 (2008)@No $ @ @ Bressler C.E., Literary Criticism: An Introduction toTheory and Practice, 4th ed. NewJersey: PearsonEducation, 145,147, 146 (2007)@No $ @ @ Kafka, F. The Metamorphosis. Trans. Ian Johnston.Canada: Malaspina University-College Nanaimo, 1, 4, 3, 9,3, 71, 27,47,49,51, 47 (1999)@No $ @ @ Hess, K. "Gregor's Legs", Essai, The College of Du Page,61-64 (2003)@No $ @ @ Hedayat S., The Message of Kafka, Tehran: Jamehdaran, 25(2004)@No $ @ @ Guerin W.L. et al., A Hand Book of Critical Approaches toLiterature, 5th ed. New York: Oxford University Press, 158(2005) @No