@Research Paper
<#LINE#>Investigation the relationship of Staff's training courses with their performance<#LINE#>Rashid@ZolfaghariZaferani,AliakbariNeda@Haji<#LINE#>1-6<#LINE#>1.ISCA-RJRS-2013-356.pdf<#LINE#>Faculty of Education And Consulting, Roudehen Branch, Islamic Azad University, Roudehen, IRAN<#LINE#>15/6/2013<#LINE#>10/9/2013<#LINE#>This paper aims to examine and explain the impacts of service training courses of the staff with their performance from the perspective of the managers and the staff of the department of dental and pharmacy of Azad University. 310 individuals of staff were chosen as a case study group. The data were analyzed by a single variable of the T- Test and also by using the SPSS software. The findings revealed that the highest scale of average among the items was devoted to the role of service training on job performance and the lowest scale was to the item of using new teaching technologies in courses of service training and there is relationship between any factors of holding service training courses, establishment of service training courses, content quality of service training courses, methods efficiency and new teaching technologies in service training courses and job performance of the staff. And also, there are no differences among the ideas of male and female staff to the establishment of service training courses and the last conclusion is that there is no difference between average scale of service training courses' efficiency in various levels of their educational such as diploma, upper diploma, BA and MA or higher degree statistically.  <#LINE#> @ @ Saks A.M. and Haccoun R.R., Managing performance through training and development, Cengage Learning,(2011) @No $ @ @ Palmen A., Didden R. and Korzilius H., Effectiveness of behavioral skills training on staff performance in a job training setting for high-functioning adolescents with autism spectrum disorders, Research in Autism Spectrum Disorders, 4(4), 731–740 (2010) @No $ @ @ Saeed M.M. and Asghar M.A., Examining the Relationship between Training, Motivation and Employees Job Performance–The Moderating Role of Person Job Fit, (2012) @No $ @ @ Farrell G.A., Shafiei T. and Salmon P., Facing up to “challenging behaviour”: a model for training in staff–client interaction, Journal of Advanced Nursing, 66(7), 1644–1655 (2010) @No $ @ @ McCulloch P., Mishra A., Handa A., Dale T., Hirst G. and Catchpole K., The effects of aviation-style non-technical skills training on technical performance and outcome in the operating theatre, Quality and Safety in Health Care, 18(2),109–115 (2009) @No $ @ @ Jones M.K., Jones R.J., Latreille P.L. and Sloane P.J., Training, job satisfaction, and workplace performance in Britain: Evidence from WERS 2004, Labour, 23(s1), 139–175 (2009) @No $ @ @ Puhakainen P. and Siponen M., Improving employees’ compliance through information systems security training: an action research study, Mis Quarterly, 34(4), 757–778 (2010) @No $ @ @ Hadavandi M.R. and Hadavandi F., The impacts of the crises service training courses on the managers efficiency of Damavand City, Tehran Province at the time of events" Tehran University of Medical Sciences, (2010) @No $ @ @ Gholamshahi, Hassan Ali, The impacts of service training courses on the employees' performance of Tehran Telecommunication" MA thesis, Azad University, Roode Hen Branch, (2007) @No $ @ @ Fook C.Y., Sidhu G.K., Hashim R.A., Hamid A.A. and Yunus F.W., Teacher's Perception towards Psychometrics Analysis Software, Procedia-Social and Behavioral Sciences, 30, 376-381 (2011) @No $ @ @ &#350;ahbaz Ü., The effectiveness of in-service training for school counselors on the inclusion of students with disabilities, Educational Research and Reviews, 6(8), 580-585 (2011) @No $ @ @ Karimi, Tnew models for examination of Organizational performance, Tadbir Journal,  (2006) @No $ @ @ Detert, J. R., & Burris, E. R. Leadership behavior and employee voice: is the door really open? Academy of Management Journal, 50(4), 869–884 (2007) @No $ @ @ Griffith J., Relation of principal transformational leadership to school staff job satisfaction, staff turnover, and school performance, Journal of Educational Administration, 42(3),333–356 (2004) @No $ @ @ Forrier A. and Sels L., Temporary employment and employability: training opportunities and efforts of temporary and permanent employees in Belgium Work, Employment & Society,17(4), 641–666 (2003) @No 
<#LINE#>The Effects of Product Market Competition on Capital Structure in firms listed in Tehran Stock Exchange, Iran<#LINE#>Abadi@HosseinRezaeiDolat,Eghbali@AliReza,Abadi@HassanHeidarySoltan<#LINE#>7-13<#LINE#>2.ISCA-RJRS-2013-466.pdf<#LINE#>Islamic Azad University, Persian GULf International Educational Branch, Khuzestan, IRAN <#LINE#>23/7/2013<#LINE#>30/10/2013<#LINE#>The present study mainly evaluates the effect of product market competition on capital structure of companies listed in Tehran Stock Exchange (TSE) during 2001-2009. The present study discussed level and dimensions of product market competition including Tobin’s Q ratio, substitutability of goods, barriers to entry, inventory turnover, market share, number of active companies and capital structure. The present study used systematic elimination method to collect samples. Considering the sampling method, 87 companies were selected from companies listed in TSE. Results showed a positive significant relationship between product market competition, market share and capital structure as well as a negative significant relationship between barriers to entry (investment intensity) and capital structure. Moreover, there was no significant relationship between Tobin’s Q ratio, inventory turnover, substitutability of goods, number of active companies and capital structure. <#LINE#> @ @ Hang J. Binsbergen, v. R. J. Yang, G. Yang, J. Optimal Capital Structure, Journal of Finance, 62(3), 2557-2586 (2011) @No $ @ @ Myers S., The capital structure puzzle, Journal of Finance, 39(2), 575–592 (1984) @No $ @ @ Harris M. and Raviv A., The theory of capital structure, Journal of Finance, 46(3), 297–355 (1991) @No $ @ @ Brander J.A. and T.R. Lewis, Oligopoly and Financial Structure: the Limited Liability Effect, American Economic Review, 956-970 (1986) @No $ @ @ Kayhan A. Titman, Sh., Firms, histories and their capital structures, Journal of Financial Economics, 83(2), 1–32 (2007) @No $ @ @ Leland H.E., Corporate Debt Value, Bond Covenants, and Optimal Capital Structure, Journal of Finance, 49, 1213–1252 (1994) @No $ @ @ Fama E.F. French R., Testing trade-off and pecking order predictionsabout dividend sanddebt, The Review of Financial Studies, 15(1), 1-33 (2002) @No $ @ @ RenChenga, S. Yi ShiuCHInvestor protection and capital structure, J. of Multi. Fin.Manag.17, 30–44 (2007) @No $ @ @ Guney Y., Li L. and Fairchild R., The relationship between product market competition and capital structure in Chinese listed firms, International Review of Financial Analysis, 20(1), 41-51 (2011) @No $ @ @ Smith D.J., Chen J. and Anderson H.D., The relationship between capital structure and product markets: evidence from New Zealand, Review of Quantitative Finance and Accounting, 38(1), 1-24 (2012) @No $ @ @ Clayton M.J. Debt, investment, and product market competition: A note on the limited liability effect, Journal of Banking & Finance, 33(4), 694-700 (2009) @No $ @ @ Aggarwal R. and Kyaw N.A., Capital structure, dividend policy, and multinationality: Theory versus empirical evidence, International Review of Financial Analysis, 19(2), 140-150 (2010) @No $ @ @ Jiang F., Qu Y., Lu Z. and Li, YProduct market competition and dynamic adjustment in capital structure, Frontiers of Business Research in China, 4(1), 101-129 (2010) @No
<#LINE#>Investigation of the Zinc Oxide Nanoparticles Effect on Testosterone, Cholesterol and Cortisol in Rats<#LINE#>Reza@EspananiHamid,Kobra@Shirani,Saadat@Khalilian,Leila@Sadeghi,@YousefiBabadiVahid,AmraeaiEsmaiel@<#LINE#>14-19<#LINE#>3.ISCA-RJRS-2013-531.pdf<#LINE#>Department of Biology, Faculty of Sciences, Payam Noor University of Iran, Employee social security, Isfahan, IRAN @ Department of Pharmacodynamy and Toxicology, School of Pharmacy, Mashhad University of Medical Sciences, IRAN @ Department of Biochemistry, Faculty of Biological Science, Tarbiat Modares University, Tehran, IRAN @ Department of Biology, Faculty of Sciences, Payam Noor University of Iran, Isfahan, IRAN @ Physiology Research Center, Isfahan Cardiovascular Research Center, Isfahan Cardiovascular Research Institute, Isfahan University of Medical<#LINE#>7/8/2013<#LINE#>21/10/2013<#LINE#>Nowadays nanoparticles have widespread application in various industries because of their special and unique features. There are many studies in side effects of nanomaterial but these studies used from high doses and specially ZnOnanoparticles in low dose was less researched. This study done by 36 Wistar rats with every other day injection of different doses of ZnOnanoparticles intraperitoneally (5, 10, 20 and 40 mg / kg). After a 21-day period, the rats were bled and whole blood hematocrit and lymphocyte numbers and serum levels of cholesterol, cortisol and testosterone hormone were measured. The results showed a significant decrease of cortisol level and significant increase of testosterone and cholesterol level of blood serum in rats that injected by ZnOnanoparticles rather than controls. Number of lymphocyte in treated rats reduced and hematocrit showed an irregular variation. Therefore all of results confirmed exposing to ZnOnanoparticles damaged to public health and reduced fertility potential. <#LINE#> @ @ Aaseth J., Olsen A., Halse J. and Hovig T., Argyria- Tissue Deposition of Silver as Selenide, Scand .J. Clin. Lab. Invest,41(3), 247-51(1981) @No $ @ @ Paull R., Wlfe J., Hebert P. and Sinkula M., Investing in Nanotechnology, Nature, Bioethanol, 21(10), 1144-1147 (2003) @No $ @ @ Yoshida Y., Itoh N., Saito Y., Hayakawa M. and Niki E., Application of Water-Soluble Radical Initiator, 2,20-Azobis-[2-(2-Imidazolin-2-Yl) Propane] Dihydrochloride, to A Study Of Oxidative Stress, Free, Radical Research, 38(4), 375–384 (2004) @No $ @ @ Brandt D., Park B., Hoang M. and Jacobe HT., Argyria: Secondary to Ingestion of Homemade Silver Solution, J. Am. Acad. Dermotal, 53, 105-107 (2005) @No $ @ @ YousefiBabadi V., Amraeai E., Salehh H., Sadeghi L., Najafi L., Fazilati M., Evaluation of Iron Oxide nanoparticles effects on tissue and Enzymes ofThyroid in Rats, Int. Res. J. Biological Sci,, 67-69 (2013) @No $ @ @ Heinlaan M., Ivask A., Blinova I., Dubourguier HC. andKahru A., Toxicity of Nanosized and Bulk ZnO , Cuo and Tio2 to Bacteria Vibrio Fischeri and Crustaceans Daphnia Magna and ThamnocephalusPlatyurus, J. Chemosphere,71(7), 1308-1316 (2008) @No $ @ @ Esmaeillou M., Moharamnejad M., Hsankhani R., Tehrani AA. andMaadi H., Toxicity of ZnO Nanoparticles in Healthy Adult Mice, Environ. Toxicol.Phar, 35(1), 67-71 (2013) @No $ @ @ Meyer K., Rajanahalli P., Ahamed M., Rowe JJ. and Hong Y., ZnO Nanoparticles Induce Apoptosis in Human Dermal Fibroblasts Via P53 And P38 Pathways, Toxicol. InVitro.,25(8), 1721-6 (2011) @No $ @ @ Umrani RD. and Paknikar KM., Zinc Oxide Nanoparticles Show Antidiabetic Activity in streptozotocin-Induced Types-1 And 2 Diabetic Rats, Nanomedicine (Lond) , 1-16 (2013) @No $ @ @ Hanley C., Layne J., Punnoose A., Reddy KM., Coombs I., Coombs A., et al., Preferential Killing of Cancer Cells and Activated Human T Cells Using Zno Nanoparticles, Nanotechnology, 19(29), 295103 (2008) @No $ @ @ Akhtar MJ., Ahamed M., Kumar S., Khan MM., Ahmad J. and Alrokayan SA., Zinc Oxide Nanoparticles Electively Induce Apoptosis in Human Cancer Cells Through Reactive Oxygen Species, Int. J. Nanomedicine, , 845–57 (2012) @No $ @ @ Huang Z., Zheng X., YanD., Yin G., Liao X., Kang Y., Yao Y., Huang D. and Hao B., Toxicological effect of ZnO nanoparticles based on bacteria, Langmuir,24(8), 4140-4144  (2008) @No $ @ @ Liu Y., He L., Mustapha A., Li H., Hu ZQ. and Lin M., Antibacterial Activities of Zinc Oxide Nanoparticles Against Escherichia Coli O157:H7, J. Appl. Microbiol,107(4), 1193-201 (2009) @No $ @ @ Jones N., Ray B., Ranjit KT. and Manna AC., Antibacterial Activity of Zno Nanoparticles Uspensions on A Broad Spectrum of Microorganisms, FEMS,  Microbiol.Lett.,279(1), 71-6 (2008) @No $ @ @ Guo D., Bia H., Wang D. and Wu Q., Zinc Oxide Nanoparticles Decrease the Expression and Activity of Plasma Membrane Calcium ATPase, Disrupt The Intracellular Calciumhomeostasis in Rat Retinal Ganglion Cells, Int. J. Biochem. Cell B,45 (8), 1849– 1859 (2013) @No $ @ @ Han D., Tian Y., Zhang T., Ren G. and Yang Z. Nano-Zno Damages Spatial Cognition Capability Via Over-Enhanced Long-Term Potentiation in Hippocampus of Wistar Rats, Int. J. Nanomedicine, (6), 1453–1461 (2011) @No $ @ @ Monteiro-Riviere NA., Wiench K., Landsiedel R., Schulte S., Inman AO. andRiviere JE., Safety Evaluation of Sunscreen Formulations Containing Titanium Dioxide and Zno Nanoparticles in UVB Sunburned Skin: An In Vitro and In Vivo Study, Toxicol. Sci, 123(1), 264–280 (2011) @No $ @ @ Landsiedel R., Ma-Hock L., Van Ravenzwaay B, et al., Gene toxicity Studies on Titanium Dioxide and ZnoNanomaterials Used for UV-Protection in Cosmetic Formulations, Nanotoxicology, , 364–381 (2010) @No $ @ @ Espanani H. R, Fazilati M., Sadeghi L., YousefiBabadi V., Bakhshiani S. Amraie E., Investigation the Zinc Oxide Nanoparticle’s Effect on Sex Hormones and Cholesterol in Rat, Int. Res. J. Biological Sci,, 1-6 (2013) @No $ @ @ Hanley C., Thurber A., Hanna C., Punnoose A., Zhang J. and  Wingett DG, The Influences of Cell Type and Zno Nanoparticles Size On Immune Cell Cytotoxicity and Cytokine Induction, Nanoscale, Res. Lett,4(12), 1409–1420 (2009) @No $ @ @ Valdiglesias V., Costa C., Kilic G., Costa S., Pasaro E., Laffon B., et al, Neuronal Cytotoxicity and Genotoxicity Induced by Zinc Oxide Nanoparticles, Environ. Int, (55), 92-100 (2013) @No $ @ @ Hanley C., Thurber A., Hanna C., Punnoose A., Zhang J. and Wingett DG. The Influences of Cell Type and ZnO Nanoparticles Size on Immune Cell Cytotoxicity and Cytokine Induction, Nanoscale, Research Letters, 4(12), 1409-1420 (2009) @No $ @ @ Ostrowsaka J.G., Effect of Dietary Fat on Androgen Secretion and Metabolism, Reprod. Biol, (6), 13-21 (2006) @No $ @ @ Roshanai K., Razavian MH., Ahmadi R., Heidarieh N. and Masaeemanesh MB., The Effect of Silvernano Oral Consumption on some Hormonal, Hematological and Urine Parameters of Vistar Rats, Qom University of Medical Sciences Journal, 6(3), 65-70 (2012) @No
<#LINE#>Predicting Gender Using Iris Images<#LINE#>A.@Bansal,R.@Agarwal,R.K.@Sharma<#LINE#>20-26<#LINE#>4.ISCA-RJRS-2013-538.pdf<#LINE#>Department of ECE, G.L.A. University, Mathura, UP, INDIA @ Department of EIED, Thapar University, Patiala, Punjab, INDIA @ School of Mathematics and Computer Applications, Thapar University, Patiala, Punjab, INDIA<#LINE#>9/8/2013<#LINE#>30/10/2013<#LINE#>Among various biometric authentication systems iris recognition system is considered to be more accurate and reliable. The main objective of these systems is to identify the user as an authentic or an imposter. These systems does not reveal about imposter’s gender or ethnicity. Majority of practices for gender classification utilize facial information. Very few references in the literature reported the identification of human attributes such as gender with the help of iris images. In this paper gender has been identified using iris images. Feature vector from an iris image is created by combining statistical features and texture features using wavelets. A gender prediction model using Support Vector Machine (SVM) has been developed and an accuracy of 85.68% has been achieved. <#LINE#> @ @ Chu W.S., Rong C. and Song Chen C., Identifying gender from unaligned facial images by set classification, In Proceeding of 20th IEEE International Conference on Pattern Recognition, 2636 -2739 (2010) @No $ @ @ Han X., Ugail H., andPahnar I., Gender classification based on 3D face geometry features using SVM, In Proceedings of IEEE International Conference on Cyber World,  114 -118 (2009) @No $ @ @ Nazir M., Ishtaiq M., Batool A.,  Jaffar A., andMirza A.M., Feature Selection for efficient gender classification, In Proceedings of WSEAS International conference, 70-75 (2010) @No $ @ @ Rai P. and Khanna P., Gender classification using Randon and Wavelet Transform, In Proceedings of IEEE International Conference on Industrial and Information Systems, 448 – 451 (2010) @No $ @ @ Lagree S. and Bowyer K.W., Predicting ethnicity and gender from iris texture, InProceedings of IEEE International Conference on Technologies for Homeland Securities (HST), 440-445 (2011) @No $ @ @ Thomas V., Chawla N., Bowyer K.W. and Flynn P.J., Learning to predict gender from iris images, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS) (2007) @No $ @ @ Daugman J., High confidence visual recognition of persons by a test of statistical independence, IEEE Transaction on Pattern Analysis and Machine Intelligence, 15,  1148-1161 (1993) @No $ @ @ Khan S.A., Nazir M., Akram S. and Riaz N.,Gender classification using image processing techniques: A survey,Multitopic Conference (INMIC), 2011 IEEE 14th International, 25,30 (2011) @No $ @ @ Qiu X.C., Sun Z.A., and Tan T.N., Global texture analysis of iris images for ethnic classification, Springer LNCS 3832: International Conference on Biometrics, 411-418 (2006) @No $ @ @ Qiu X.C., Sun Z.A., and Tan T.N., Learning appearance primitives of iris images for ethnic classification, In Proceedings of IEEE International Conference on Image Processing (ICIP), II, 405–408 (2007) @No $ @ @ Kong W. and Zhang D., Accurate iris segmentation based on novel reflection and eyelash detection model,In Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, 263-266 (2001) @No $ @ @ Ma L., Wang Y., and Tan T., Iris recognition using circular symmetric filters, In Proceedings of 16th International Conference on Pattern Recognition, 414-417 (2002) @No $ @ @ Tisse C., Martin L., Torres L. and Robert M., Person identification technique using human iris recognition, In Proceedings of International Conference on Vision Interface,  294-299 (2002) @No $ @ @ Wildes R., Asmuth J., Green G., Hsu S., Kolczynski R., Matey J. and McBride S., A system for automated iris recognition, In Proceedings IEEE Workshop on Applications of Computer Vision, 121-128 (1994) @No $ @ @ ZahediMorteza and Mohamadian Zahra, A Fully Automatic and Haar like Feature Extraction-Based Method for Lip Contour Detection, Research Journal of Recent Sciences, 2(1), 17-20 (2013) @No $ @ @ Mohamadian Zahra, Image Duplication Forgery Detection using Two Robust Features, Research Journal of Recent Sciences, 1(12),  1-6 (2012) @No $ @ @ Daughman J., How iris recognition works?, IEEE Transaction on CSVT, 14(1),  21-30 (2004) @No $ @ @ Bodade R.M. and Talbar S.N., Shift invariant iris feature extraction using rotated complex wavelet and complex wavelet for iris recognition system,In Proceeding Seventh International Conference on Advances in Pattern Recognition,  449-452 (2009) @No $ @ @ Ko J.G., Gil Y.H. and Yoo J.H., Iris recognition using cumulative sum based change analyses, International symposium on Intelligent Signal Processing and Communication System, 275-278 (2006) @No $ @ @ Bansal A., Agarwal R. and Sharma R.K., SVM based gender classification using iris images, In Proceedings of 4th IEEE, International Conference on Computational Intelligence and Computer Networks, 425-429 (2012) @No $ @ @ Cortes C. and Vapnik V., Support vector networks-Machine Learning, Kluwer Academic Publishers, Boston, 273–97 (1995) @No $ @ @ Burges C.J.C., A Tutorial on Support Vector Machines for Pattern Recognition, Kluwer Academic Publishers, Boston (1998)  @No $ @ @ Cristianini N. and Shawe T.D., An Introduction to Support Vector Machines and other kernel-based Learning Methods, Cambridge University press, Cambridge (2000) @No $ @ @ @No $ @ @ Haykin S.,Neural Networks-A comprehensive foundation, Pearson Education, 2nded (2004) @No
<#LINE#>Studying the Satisfaction Level of Students from Academic Branches<#LINE#>Mohammadiha@Paria,Shariatmadari@Mahdi,Kordestani@Fereshteh<#LINE#>27-33<#LINE#>5.ISCA-RJRS-2013-540.pdf<#LINE#>Dept. of Educational Administration, Faculty of Psychology and Social Science, Central Tehran Branch, Islamic Azad University, Tehran, IRAN <#LINE#>11/8/2013<#LINE#>3/9/2013<#LINE#>The present research examines rate of students’ satisfaction (medicine, dentistry, pharmaceutical) at different medical branches of Islamic Azad University. The main problem in this research is that to what extent the provided academic and educational services by the departments can meet the students’ needs and expectations. Sampling process happened in Tehran and among medicine, dentistry, and pharmaceutical departments with total size of 1400 subjects. Using the Krejcie and Morgan table, 300 were selected by stratified random sampling method. To measure rate of satisfaction, a researcher- made questionnaire based on the international survey of students’ needs assessment developed by Noel-Levitz   institute having the global standards was adapted. The obtained results indicate that the academic and educational services presented by different departments do not sufficiently satisfy the students’ needs and expectations and they are not pleased with the current conditions. <#LINE#> @ @ Sherry C., Bhat R., Beaver B. and Ling A., Students as customers: The expectations and perceptions of local and international students, In HERDSA Conference, (2004) @No $ @ @ Eagle L. and Brennan R., Are students customers? TQM and marketing perspectives, Quality Assurance in Education, 15(1), 44–60 (2007) @No $ @ @ Chow H.P., Life satisfaction among university students in a Canadian prairie city: A multivariate analysis, Social Indicators Research, 70(2), 139–150 (2005) @No $ @ @ Helm E.G., Sedlacek W.E. and Prieto D.O., The relationship between attitudes toward diversity and overall satisfaction of university students by race, Journal of College Counseling, 1(2), 111–120 (1998) @No $ @ @ Eom S.B., Wen H.J. and Ashill N., The Determinants of Students’ Perceived Learning Outcomes and Satisfaction in University Online Education: An Empirical Investigation*, Decision Sciences Journal of Innovative Education, 4(2),215–235 (2006) @No $ @ @ Lomas L., Are students customers? Perceptions of academic staff, Quality in Higher Education, 13(1), 31–44 (2007) @No $ @ @ McCollough M.A. and Gremler D.D., Guaranteeing student satisfaction: an exercise in treating students as customers, Journal of Marketing Education, 21(2), 118–130 (1999) @No $ @ @ Palacio A.B., Meneses G.D. and Pérez P.J.P., The configuration of the university image and its relationship with the satisfaction of students, Journal of Educational Administration, 40(5), 486–505 (2002) @No $ @ @ Svensson G. and Wood G., Are university students really customers? When illusion may lead to delusion for all! International Journal of Educational Management, 21(1),17–28 (2007) @No $ @ @ Schwartzman R., Are students customers? The metaphoric mismatch between management and education, Education-Indianapolis, 116(1), 215–222 (1995) @No $ @ @ Pitman T., Perceptions of academics and students as customers: a survey of administrative staff in higher education, Journal of Higher Education Policy and Management, 22(2), 165–175 (2000) @No $ @ @ Logue C.T., Lounsbury J.W., Gupta A. and Leong F.T., Vocational interest themes and personality traits in relation to college major satisfaction of business students,Journal of Career Development, 33(3), 269–295 (2007) @No $ @ @ Zamanzad et al., Studies rate of satisfaction and trainee and intern medical students from educational quality of the clinical period medical sciences university of Shahre-Kord, Journal of komesh(2005) @No $ @ @ Darvish Motevali et al., examined students’ satisfaction trough fuzzy approach (case study: Islamic Azad university at Firouz kouh branch), Journal of hamayesh, (2008) @No
<#LINE#>Color Based Segmentation of White Blood Cells in Blood Photomicrographs Using Image Quantization<#LINE#>Azam@Bakht,RashidJalal@Qureshi,Jan@Zahoor,,Khattak@TajAli<#LINE#>34-39<#LINE#>6.ISCA-RJRS-2013-561.pdf<#LINE#>Department of Computer Science, Islamia College Peshawar, Peshawar, K.P, PAKISTAN  @ Faculty of Computing, SZABIST, Dubai International Academic City, Dubai, U.A.E  @ Department of Pathology, Lady Reading Hospital, Peshawar, K.P, PAKISTAN<#LINE#>17/8/2013<#LINE#>4/10/2013<#LINE#>  Generally for various diseases blood is used as an indicator. It is composed of three types of cells; Red blood Cells (RBC),  White Blood Cells (WBC) and Platelets. Different types of white blood cells or leukocytes are counted in a sample blood smear and give necessary information about various hematological diseases. Evaluating a blood smear for WBC’s with the help of digital image processing is faster, easier and has contributed strongly in Computer Aided Diagnosis (CAD). In this work, we have focused on the segmentation of white blood cells in blood smear photomicrographs and proposed a novel technique for segmentation which can exploit color, size and shape features of different types of objects present in a blood smear photomicrographs. <#LINE#> @ @ Tkachuk C.D. and Hirschmann J. V., Wintrobe’s Atlas of Clinical Hematology, Lippincott Williams & Wilkins, Philadelphia, Pa, USA, 1st edition, (2007) @No $ @ @ Hengen H., Spoor S.L. and Pandit M.C., Analysis of  blood and bone marrow smears using digital image processing techniques, In the Proceedings of the SPIE M. Sonka, J. M. Fitzpatrick (Eds.), Medical Imaging, 4684, 624–635 (2002) @No $ @ @ Angulo J. and Flandrin G., Automated detection of working area of peripheral blood smears using mathematical morphology, Analytical Cellular Pathology, 25, 37- 49 (2003) @No $ @ @ Trivedi M. and Bezedek J. C., Low-level segmentation of acrial images with fuzzy clustering, IEEE Trans. on System Man and Cybernetics, 16(4), 589-598 (1986) @No $ @ @ Umpon N.T., Patch-based white blood cell nucleus segmentation using fuzzy clustering, ECTI Trans. Electrical Electronic Communications, 3(1), 510 (2005) @No $ @ @ Guo N., Zeng L. and Wu Q., A method based on multi-specral imaging technique for white blood cell segmentation, Computers in Biology and Medicine, 7, 70-76 (2006) @No $ @ @ Gao W., Tang Y. and Li X., Segmentation of Microscopic Images for Counting Leukocytes, The 2nd IEEE International Conference on Bioinformatics and Biomedical Engineering, Shanghai, 2609 - 2612 (2008) @No $ @ @ Ghosh M., Das D., Chakraborty C., Entropy based divergence for leukocyte image Segmentation, Proceedings of 2010 International Conference on Systems in Medicine and Biology, Kharagpur, 409 – 413 (2010) @No $ @ @ Mohapatra S. and Patra D., Automated Leukemia Detection using Hausdorff Dimension in Blood Microscopic Images, IEEE Int. Conf. on Emerging Trends in Robotics & Communication Tech., 64 - 68 (2010) @No $ @ @ Abd Halim N.H., Mashor M.Y. and Hassan R., Automatic Blasts Counting for Acute Leukemia Based on Blood Samples, International Journal of Research and Reviews in Computer Science, 2(4), 971 (2011) @No $ @ @ Sharif J.M., Miswan M.F., Ngadi M. A. and Salam M.S., Red Blood Cell Segmentation Using Masking and Watershed Algorithm: A Preliminary Study, International Conference on Biomedical Engineering, Penang,    258 - 262 (2012) @No $ @ @ Mohapatra S. and Patra D., Automated Cell Nucleus Segmentation and cute Leukemia Detection in Blood Microscopic Images, International Coference on Systems in Medicine and Biology, Kharagpur, 49 - 54 (2010) @No $ @ @ Rezatofighi S.H., Soltanian-Zadeh H., Sharifian R. and Zoroofi R.A., A New Approach to White Blood Cell Nucleus Segmentation Based on Gram-Schmidt Orthogonalization, Bangkok, 107 - 111 (2009) @No $ @ @ Hiremath P.S., Bannigidad P. and Geeta S., Automated Identification and Classification of White Blood Cells (Leukocytes) in Digital Microscopic Images, IJCA Special Issue on Recent Trends in Image Processing and Pattern Recognition, , 59-63 (2010) @No $ @ @ Rupp S. and Schlarb T., Fully automated detection of the counting area in blood smears for computer aided hematology, 33rd Annual International Conference of the IEEE EMBS Boston, Massachusetts USA,  doi: 10.1109/IEMBS.2011.6091912, 7759-62 (2011) @No $ @ @ Jae Lim S., Two-Dimensional Signal and Image Processing, Englewood Cliffs, NJ, Prentice Hall, equations 9.44-9.46, 548 (1990) @No $ @ @ Sezgin M. and Sankur B., Survey over image thresholding techniques and quantitative performance evaluation, Journal of Electronic Imaging, 13 (1), 146–165 (2004) @No $ @ @ http://www.mathworks.com/help/images/ref/imfill.html, 1/12/12, 5:13 PM (2012) @No $ @ @ Dougherty E. R., An Introduction to Morphological Image Processing, SPIE Optical Engineering Press, ISBN 0-8194-0845-X (1992) @No
<#LINE#>The Relationship between Ownership Concentration and Information Asymmetry Considering level of Voluntary Disclosure of Firms Listed in Tehran Stock Exchange<#LINE#>Omari@Jafar,Alireza@Fazlzadeh,Nahidi@MohammadrezaM.<#LINE#>40-46<#LINE#>7.ISCA-RJRS-2013-563.pdf<#LINE#>@Department of Accounting, Tabriz Branch, Islamic Azad University, Tabriz, IRAN@Economics and Management Faculty, Tabriz University, Tabriz, IRAN@Department of Economics, Tabriz Branch, Islamic Azad University, Tabriz, IRAN <#LINE#>19/8/2013<#LINE#>6/10/2013<#LINE#>The present study determined a measure to explain influence of ownership structure on information asymmetry considering voluntary disclosure. Samples included 104 firms listed in Tehran Stock Exchange. Results showed that ownership concentration positively and significantly influenced on information asymmetry of all firms; moreover, firm size negatively and significantly influenced on information asymmetry. For all the firms, managerial ownership and institutional ownership had negatively and positively significant influence on information asymmetry, respectively. In firms with low voluntary disclosure, ownership concentration positively but insignificantly influenced on information asymmetry; in firms with high voluntary disclosure, while, ownership concentration positively and significantly influenced on information asymmetry. In firms with low voluntary disclosure, managerial ownership negatively but insignificantly influenced on information asymmetry; in firms with high voluntary disclosure, while, managerial ownership positively but insignificantly influenced on information asymmetry. Results also showed that institutional ownership positively but insignificantly influenced on institutional ownership in firms with both low and high voluntary disclosure. <#LINE#> @ @ Noravesh I. and Ebrahimi Kordlar A., The Relationship between Investor Combination and Information Symmetry and Performance Accounting Measures, Accounting and Auditing Investigations, 42(6), 97-124 (2005) @No $ @ @ Chung H., Sheu H. and Wang J., Do Firms' Earnings Management Practices Affect Their Equity Liquidity?, Finance Research Letters, , 152-158 (2009) @No $ @ @ Ghaemi M.H. and Vatan Parast M.R., The Information Role of Accounting in Decreasing Information Asymmetry of Tehran Stock Exchange, Accounting and Auditing Investigations, 41(2), 85-103 (2005) @No $ @ @ Kashanipoor M., Rasekhi S., Taghinejad B. and Rasaeian A., Financing Limitations and Sensitivity of Investment to Cash Flows of Tehran Stock Exchange, Accounting Advancements, 2(5), 51-74 (2010) @No $ @ @ Thomas W.B., A test of the market's mispricing of domestic and foreign earnings, Journal of Accounting and Economics, 28(3), 243-267 (1999) @No $ @ @ Jiang H., Habib A. and Hu B., Ownership Concentration, Voluntary disclosures and information Asymmetry in New Zealand, The  British Accounting Review, 43, 39-53 (2011) @No $ @ @ Fama Eugene F. and Michael C. Jensen Agency Problems and Residual Claims, Journal of Law and Economics,  26(2),  327-349 (1983) @No $ @ @ Kazemi, H. and Mohamadnejad A., the Relationship between Institutional Ownership and Information Asymmetry and Financial Performance of Firms, Emprical Studies on Financial Accounting, 1(2), 110-128 (2011) @No $ @ @ Kanagaretnam K., Lobo G.J. and Whalen D.J., Does good corporate governance reduce information asymmetry around quarterly earnings announcements? Journal of Accounting and Public Policy, 26(4), 497–522 (2007) @No $ @ @ Korbacheh S., Asgari M.R., Khalili M., Abbasi R., Esgandari K. and Torabynia S., Offering a Model to describe the Relationship between Corporate Governance Factors and Return on Net margin of those Companies accepted at Stock Exchange, Research Journal of Recent Sciences, 2(3), 22-30 (2013) @No
<#LINE#>Solar and Open Drying Characteristics of Sugarcane Trash and Rice Straw<#LINE#>K.R.@Subahana,R.@Natarajan,Bareth@Suman<#LINE#>47-50<#LINE#>8.ISCA-RJRS-2013-602.pdf<#LINE#> CO Research and Green Technologies Centre, VIT University, Vellore, Tamil Nadu, INDIA <#LINE#>30/8/2013<#LINE#>12/10/2013<#LINE#>  The production of bio oil by fast pyrolysis method using agricultural residues needs control in moisture content of the feedstock; higher in moisture content lowers the stability of burning results high CO emissions. The drying characteristics of rice straw and sugarcane trash with size of 1inch are done in both open and solar drying and the mathematical equations are made using experimental data. The values of R are reduced as much as possible to equal the experimental and theoretical data. The theoretical equations are valid for atmosphere temperature of 30-35C and global radiations of 300-850W/m. <#LINE#> @ @ Xianhua Wang, Hanping Chen, Kai Luo, Jingai Shao, and Haiping Yang, The Influence of Microwave Drying on Biomass Pyrolysis, Energy & Fuels, 22(1), 67–74 (2008) @No $ @ @ Junmeng Cai1and Siyu Chen Determination of Drying Kinetics for Biomass by Thermogravimetric Analysis under Nonisothermal Condition, Drying Technology, 26(12), 1464-1468 (2008) @No $ @ @ Sodha M.S., Dang A., Bausel P.K. and Sharma S.B., An analytical and experimental study of open sun drying and a cabinet tyre drier, Energy Conversion and Management, 25, 263 (1985) @No $ @ @ Chandrakumar B. Pardhi and Jiwanlal L Bhagoria, Development and performance evaluation of mixed-mode solar dryer with forced convection, International Journal of Energy and Environmental Engineering, 2, 23 (2013) @No $ @ @ Suramaythangkoor T. and Gheewala S.H., Potential of practical implementation of rice straw-based power generation in Thailand, Energy Policy, 36, 3183–3187 (2008) @No $ @ @ Suramaythangkoor T. and Gheewala S.H., Potential alternatives of heat and power technology application using rice straw in Thailand, Appl. Energy, 87, 128–133 (2013) @No $ @ @ Chanchal Loha, Reeta Das, Biplab Choudhury and Pradip K Chatterjee, Evaluation of Air Drying Characteristics of Sliced Ginger (Zingiber officinale) in a Forced Convective Cabinet Dryer and Thermal Conductivity Measurement,J Food Process Technol, 3(6), 1-5 (2012) @No $ @ @ Songchai Wiriyaumpaiwong and Jindaporn Jamradloedluk, Forced Convection Solar Drying:Experimental Investigation and Mathematical Modeling of Pork Strips, KKU Engineering Journal, 34(2), 243 – 250 (2007) @No $ @ @ Hakan Okyay Menges a, Can Ertekin b, Mathematical modeling of thin layer drying of Golden apples, Journal of Food Engineering, 77, 119–125 (2006) @No $ @ @ E. Kavak Akpinar, Mathematical modelling and experimental investigation on sun and solar drying of white mulberry, Journal of Mechanical Science and Technology, 22, 1544-1553 (2008) @No $ @ @ Inci Turk Togrul , Dursun Pehlivan, Modelling of thin layer drying kinetics of some fruits under open-air sun drying process, Journal of Food Engineering, 65, 413–425 (2004) @No $ @ @ Ibrahim Doymaz, Sun drying of figs: an experimental study, Journal of Food Engineering 71, 403–407, (2005) @No $ @ @ E. Kavak Akpinar, Y. Bicer, F. Cetinkaya, Modelling of thin layer drying of parsley leaves in a convective dryer and under open sun, Journal of Food Engineering, 75, 308–315(2006) @No
<#LINE#>Relationship between Inflation and Interest Rate: Evidence from Pakistan<#LINE#>G.@Ayub,N.U.@Rehman,M.@Iqbal,Q.@Zaman,M.@Atif<#LINE#>51-55<#LINE#>9.ISCA-RJRS-2013-838.pdf<#LINE#>University of Swat, Khyber Pakhtonkhawa, PAKISTAN @ Economics Department, University of Peshawar, Khyber Pakhtonkhawa, PAKISTAN @ Statistics Department, University of Peshawar, Khyber Pakhtonkhawa, PAKISTAN<#LINE#>6/11/2013<#LINE#>16/12/2013<#LINE#>This study focuses on the study of the causal relation of inflation rate with that of nominal interest rate in Pakistan. This is also known as Fisher hypothesis, which is used to study the equilibrium relation for long run between the inflation rate and the nominal interest rate in the time series data from 1973-2010. In this study, the Stationarity and non-Stationarity of the data is checked empirically using both ADF and PP test of unit root. Co-integration techniques like Johansen and Engle-Granger (Residual Based) co-integration test are used to study the long run relationship between the nominal interest rate and inflation. It is found that there exist a long run equilibrium relationship between the nominal interest rate and the inflation of Pakistan for the period of 1973-2010. <#LINE#> @ @ Shah I. and Waleed M., The Fisher Equation, Belgium before and after Euro currency, Thesis, School of Economics and Management, Lund Uni., Sweden (2010) @No $ @ @ Fisher I., The Theory of Interest, New York: Macmillan (1930) @No $ @ @ Hassan H., Fisher Effect in Pakistan, The Pakistan Deve. Review,38(2), 153—166 (1999) @No $ @ @ Berument H. and Mehdi M., The Fisher Hypothesis: a multi-country analysis, J. App. Eco., 34, 1645-1655 (2002) @No $ @ @ Jayasinghe P., and Udayaseela T., Does Fisher effect hold in Sri Lanka? An Analysis with bounds testing approach to Cointegration, 76-82 (2010) @No $ @ @ Alexander H., The relationship between interest rates and inflation in South Africa: Revisiting Fisher’s hypothesis, Thesis, Rhodes University, South Africa, (2006) @No $ @ @ Saeidi P., and Vailan H.,  Studying the relationship between currency rate, interest rate and inflation rate based on Fisher international theory and Fisher international effect in Iran economy, Aust. J. of Basic and App. Sci. 5(12), 1371-1378, (2011) @No $ @ @ Million N., Central Bank’s intervention and the Fisher hypothesis: a threshold cointegration investigation,Economic modelling,21, 1051-1064 (2004) @No $ @ @ Macri, J., Fisher Hypothesis: Further Evidence for Australia, Department of Economics, Macquarie University, Sydney, NSW 2109, Australia (2006) @No $ @ @ Herwartz et al, Modelling the Fisher hypothesis: worldwide evidence, Econstor available online www.econstor.eu. (2006) @No $ @ @ Sundqvist E., An empirical investigation of the international Fisher effect, Bachelor’s Thesis, Lulea University of Technology (2002) @No $ @ @ Phylaktis K., and Blake D., The Fisher Hypothesis: Evidence From Three High Inflation Economies,  Weltwirtschaftliches Archive 129, 591–599 (1993) @No $ @ @ Paleologos J. and Georgantelis S., Does the Fisher Effect apply in Greece? A Cointegration Analysis, Spoudai, University of Piraeus, 48, 1-4 (1996) @No $ @ @ Lanne, M., Near Unit Root and the relationship between inflation and interest rate: A reexamination of the Fisher Effect, J. Emp. Eco., 26,357-366 (2001) @No $ @ @ Beyer A., and Haug A., Structural Breaks, cointegration and the Fisher Effect. Working paper series No: 1013, European Central Bank Germany (2009) @No $ @ @ Westerlund J., Panel cointegration tests of the Fisher ect, J. of App. Eco., 23, 193–233 (2008) @No $ @ @ Safdari Mehdi and Ramzan Gholami Avati, Investigating the Asymmetric Effects of Government Spending on Economic Growth, Res.J.Recent Sci.,1(5), 51-58(2012) @No
@Research Article
<#LINE#>A Survey on Face Detection and Recognition Approaches<#LINE#>Haider@Waqas,Bashir@Hadia,Sharif@Abida,Irfan@Sharif,Wahab@Abdul<#LINE#>56-62<#LINE#>10.ISCA-RJRS-2013-216.pdf<#LINE#>Computer Science Department COMSATS Institute of Information Technology Wah Cantt, PAKISTAN @ Department of Computer Science University of Engineering and Technology Taxila, PAKISTAN @ Department of Electrical Engineering, the University of Lahore – Islamabad Campus, PAKISTAN <#LINE#>24/4/2013<#LINE#>15/7/2013<#LINE#>  Face detection and recognition are major concerns in the area of biometric based security systems and purposes. These processes must ensure the recognition accuracy and minimum processing time. In this paper a review of existing face detection and recognition approaches is conducted to investigate the results of different approaches in terms of recognition accuracy and some of them are discussed for minimizing processing time point of view. The techniques for face detection and recognition are classified on the bases of their target application. Also, the techniques are classified and analyzed on the bases of their working domain as spatial, frequency, integrated and hardware support.   <#LINE#> @ @ Sharif M., Shah J. H., Mohsin S. and Raza M., Sub-Holistic Hidden Markov Model for Face Recognition, Research Journal of Recent Sciences 2(5),  10-14 (2013) @No $ @ @ Shah J., Sharif M., Raza M. and Azeem A., A Survey:Linear and Nonlinear PCA Based Face Recognition Techniques, The International Arab journal of Information technology 10(6),  (2013) @No $ @ @ Murtaza M., Sharif M., Raza M. and Shah J. H., Analysis of Face Recognition Under Varying Facial Expression: A Survey The International Arab journal of Information technology 10(4),  (2013) @No $ @ @ Azeem A., Sharif M., Raza M. and Murtaza M., A Survey: Face Recognition Techniques under Partial Occlusion, The International Arab Journal of Information Technology (IAJIT) 11(1),  (2014) @No $ @ @ Sharif M., Mohsin S. and Javed M. Y., A Survey: Face Recognition Techniques, Research Journal of Applied Sciences 4(23), 4979-4990  (2012) @No $ @ @ Sharif M., Mohsin S., Hanan R., Javed M. and Raza M., 3D Face Recognition using Horizontal and Vertical Marked Strips, Sindh University Research Journal (SURJ) 43(01-A),  (2011) @No $ @ @ Sharif M., Khalid A., Raza M. and Mohsin S., Face Detection and Recognition Through Hexagonal Image Processing, Sindh Univ. Res. Jour. (Sci. Ser.) 44(2),  541- 548 (2012) @No $ @ @ Sharif M., Raza M. and Mohsin S., Face Recognition Using Edge Information and DCT, Sindh Univ. Res. Jour. (Sci. Ser.) 43(2),  209-214 (2011) @No $ @ @ Sharif M., Mohsin S., Javed M. Y. and Ali M. A., Single Image Face Recognition Using Laplacian of Gaussian and Discrete Cosine Transforms, Int. Arab J. Inf. Technol. 9(6),  562-570 (2012) @No $ @ @ Sharif M., Mohsin S., Jamal M. J. and Raza M., Illumination Normalization Preprocessing for face recognition, Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on, IEEE, 44-47 (2010) @No $ @ @ Zhu X. and Ramanan D., Face detection, pose estimation, and landmark localization in the wild, Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, IEEE, 2879-2886 (2012) @No $ @ @ Rahman M. T. and Bhuiyan M. A., Face Recognition using Gabor Filters, Computer and Information Technology, 2008. ICCIT 2008. 11th International Conference on, IEEE, 510-515 (2008) @No $ @ @ SHARIF M. and Saad A., Enhanced SVD Based Face Recognition, Journal of Applied Computer Science & Mathematics 6(12),  49-53 (2012) @No $ @ @ Kabir M. H., Jabid T. and Chae O., Local directional pattern variance (ldpv): a robust feature descriptor for facial expression recognition, Int. Arab J. Inf. Technol. 9(4),  382-391 (2012) @No $ @ @ Muhammad Sharif, Sajjad Mohsin, Muhammad Jawad Jamal, Muhammad Younas Javed and Raza M., Face Recognition for Disguised Variations Using Gabor Feature Extraction, Australian Journal of Basic and Applied Sciences, 5(6): 1648-1656, 2011 5(6),  1648-1656 (2011) @No $ @ @ Yang M. and Zhang L., Gabor feature based sparse representation for face recognition with gabor occlusion dictionary, Computer Vision–ECCV 2010, Springer, 448-461.(2010) @No $ @ @ Sharif M., Khalid A., Mudassar R. and Mohsin S., Face Recognition using Gabor Filters, Journal of Applied Computer Science & Mathematics 5(11),  53-57 (2011) @No $ @ @ Turk M. and Pentland A., Eigenfaces for recognition,Journal of cognitive neuroscience 3(1),  71-86 (1991) @No $ @ @ Shah J. H., Sharif M., Raza M. and Azeem A., Face recognition across pose variation and 3S problem, Turkish Journal of Electrical Engineering & Computer Science,  (2012) @No $ @ @ Klare B., Yampolskiy R. V. and Jain A. K., Face recognition in the virtual world: recognizing avatar faces,Michigan State University, East Lansing, MI2010,  (2011) @No $ @ @ Lu J., Plataniotis K. N. and Venetsanopoulos A. N., Face recognition using LDA-based algorithms, Neural Networks, IEEE Transactions on 14(1),  195-200 (2003) @No $ @ @ Bartlett M. S., Movellan J. R. and Sejnowski T. J., Face recognition by independent component analysis, Neural Networks, IEEE Transactions on 13(6),  1450-1464 (2002) @No $ @ @ Georghiades A. S., Belhumeur P. N. and Kriegman D. J., From few to many: Illumination cone models for face recognition under variable lighting and pose, Pattern Analysis and Machine Intelligence, IEEE Transactions on23(6),  643-660 (2001) @No $ @ @ Sharif M., Javed M. Y. and Mohsin S., Face Recognition Based on Facial Features, Research Journal of Applied Sciences, Engineering and Technology 4(17),  2879-2886 (2012) @No $ @ @ Sharif M., Ayub M. K., Raza M. and Mohsin S., Data Reductionality Technique for Face Recognition,Proceedings of the Pakistan Academy of Sciences 48(4),  229-234 (2011) @No $ @ @ Salman N., Image Segmentation and Edge Detection Based on Chan-Vese Algorithm, Int. Arab J. Inf. Technol. 3(1),  69-74 (2006) @No $ @ @ Shahab W., Al-Otum H. and Al-Ghoul F., A modified 2D chain code algorithm for object segmentation and contour tracing, Int. Arab J. Inf. Technol. 6(3),  250-257 (2009) @No $ @ @ Robot H. W., ICIIT 2010 Session,  (2010) @No $ @ @ Sharif M., Mohsin S. and Javed M. Y., Real Time Face Detection Using Skin Detection (Block Approach), Journal of Applied Computer Science & Mathematics10(5), 75-81 (2011) @No $ @ @ Tek S. C. and Gökmen M., GPU Accelerated Real-time Object Detection on High Resolution Videos using Modified Census Transform, VISAPP (1), 685-688 (2012) @No $ @ @ Dantone M., Gall J., Fanelli G. and Van Gool L., Real-time facial feature detection using conditional regression forests,Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, IEEE, 2578-2585 (2012) @No $ @ @ Sheikh Z. G., Thakare D. V. and Sherekar D. S., Towards Retrieval of Human Face from Video Database: A novel framework, International Journal of Information Systems and Communication, ISSN,  0976-8742 (2012) @No $ @ @ Chakraborty D., An illumination invariant face detection based on human shape analysis and skin color information,Signal 3,  (2012) @No $ @ @ Tan W. R., Chan C. S., Yogarajah P. and Condell J., A fusion approach for efficient human skin detection,Industrial Informatics, IEEE Transactions on 8(1),  138-147 (2012) @No $ @ @ Nikisins O. and Greitans M., Reduced complexity automatic face recognition algorithm based on Local Binary Patterns, Systems, Signals and Image Processing (IWSSIP), 2012 19th International Conference on, IEEE, 433-436 (2012) @No $ @ @ Guillaumin M., Mensink T., Verbeek J. and Schmid C., Face recognition from caption-based supervision,International Journal of Computer Vision 96(1),  64-82 (2012) @No $ @ @ Susheel Kumar K., Bhaskar Semwal V. and Tripathi R., Real time face recognition using adaboost improved fast PCA algorithm,  (2011) @No $ @ @ Wood R. and Olszewska J. I., Lighting-variable AdaBoost based-on system for robust face detection, Proceedings of the 5th International Conference on Bio-Inspired Systems and Signal Processing, SciTePress Digital Library., 494-497 (2012) @No $ @ @ Guo J.-M., Lin C.-C., Wu M.-F., Chang C.-H. and Lee H., Complexity reduced face detection using probability-based face mask prefiltering and pixel-based hierarchical-feature adaboosting, Signal Processing Letters, IEEE 18(8),  447-450 (2011) @No $ @ @ Jin S., Kim D., Nguyen T. T., Kim D., Kim M. and Jeon J. W., Design and implementation of a pipelined datapath for high-speed face detection using FPGA, Industrial Informatics, IEEE Transactions on 8(1),  158-167 (2012) @No $ @ @ Sharif M., Mohsin S., Hanan R., Javed M. and Raza M., Using nose Heuristics for Efficient face Recognition,SINDH University Research Journal (Science Series) 43(1-A),  63-68 (2011) @No $ @ @ Sharif M., Ayub K., Sattar D., Raza M. and Mohsin S., Enhanced and Fast Face Recognition by Hashing Algorithm, Journal of Applied Research and Technology (JART) 10(4),  607-617 (2012) @No $ @ @ SHARIF M., AYUB K., SATTAR D. and RAZA M., Real Time Face Detection, Sindh Univ. Res. Jour. (Sci. Ser.)44(4), 597-600 (2012) @No $ @ @ Murtaza M., Sharif M., Raza M. and Shah J. H., Face Recognition Using Adaptive Margin Fisher’s Criterion and Linear Discriminant Analysis, The International Arab Journal of Information Technology (IAJIT) 11(2),  (2014) @No $ @ @ Bigioi P., Zaharia C. and Corcoran P., Advanced hardware real time face detector, Consumer Electronics (ICCE), 2012 IEEE International Conference on, IEEE, 528-529 (2012) @No $ @ @ Matai J., Irturk A. and Kastner R., Design and implementation of an FPGA-based real-time face recognition system, Field-Programmable Custom Computing Machines (FCCM), 2011 IEEE 19th Annual International Symposium on, IEEE, 97-100 (2011) @No $ @ @ Cho J., Mirzaei S., Oberg J. and Kastner R., Fpga-based face detection system using Haar classifiers, Proceedings of the ACM/SIGDA international symposium on Field programmable gate arrays, ACM, 103-112 (2009) @No $ @ @ Gorbenko A. and Popov V., On Face Detection from Compressed Video Streams, Applied Mathematical Sciences 6(96),  4763-4766 (2012) @No $ @ @ Gorbenko A. and Popov V., Face Detection and Visual Landmarks Approach to Monitoring of the Environment,International Journal of Mathematical Analysis 7,  213-217 (2013) @No $ @ @ Mustafah Y., Shan T., Azman A. W., Bigdeli A. and Lovell B. C., Real-time face detection and tracking for high resolution smart camera system, Digital Image Computing Techniques and Applications, 9th Biennial Conference of the Australian Pattern Recognition Society on, IEEE, 387-393 (2007) @No $ @ @ Gao C. and Lu S.-L., Novel FPGA based Haar classifier face detection algorithm acceleration, Field Programmable Logic and Applications, 2008. FPL 2008. International Conference on, IEEE, 373-378 (2008) @No  
<#LINE#>Analysis of Shear-thinning Fluid motion in Taylor–Couette flow<#LINE#>Mohammad@Masoumifard,Norouzi@,Rouhollah@,Khosro@Nezamkhiavy<#LINE#>63-70<#LINE#>11.ISCA-RJRS-2013-1037.pdf<#LINE#>Department of Mechanical Engineering, Meshkinshahr Branch, Islamic Azad University, Meshkinshahr, IRAN @ Young Researchers and Elite Club, Meshkinshahr Branch, Islamic Azad University, Meshkinshahr, IRAN <#LINE#>7/12/2013<#LINE#>3/2/2014<#LINE#>Viscosity of the shear-thinning fluid depends on the shear rate. This study is conducted in Taylor vortex flow conditioned by the rotation of inner cylinder and stillness of outer cylinder and just taking into account the axial flow for estimating the parameters of flow (velocity and pressure components) in the narrow gap between two cylinders. The results of this study are important in the bearing application. The equations of Taylor–Couette flow and Galerkin method were obtained by the equations for the conservation of mass and momentum equations. Flow parameters were obtained by Fortran and investigated by Mathematica software. The flow is the sum of base flow and a deviation from the base flow. According to the main results of analysis above, the target diagrams are compared with Newtonian and a diagrams. The more the value of parameter a is reduced, the quicker the flow will become critical. All components of real velocity and pressure are reduced while increasing Shear-thinning. <#LINE#> @ @ Ashrafi N. and Khayat R.E., Shear-thinning Induced Chaos in Taylor-Couette Flow, Physical Review, 61(2), 1455-146 (2000) @No $ @ @ Kuhlmann H., Model for Taylor-Couette Flow, Physical Review, 32(3), 1703-1707 (1985) @No $ @ @ Roland L., Panton, Incompressible flow, A wiley Interscience publication, chap 6 and 747-751 (1996) @No $ @ @ Hlavacek M., A central film thickness Formula for elastohydrodynamic lubrication of Cylinders with soft incompressible coatings and a Non- Newtonian piecewise power-low lubrication Steady rolling motion, wear, 205, 20-27 (1997) @No $ @ @ Kuhlmann H., Roth D., and Lucke M., Taylor Vortex Flow under Harmonic Modulation of the Driving Force, Physical Review, 39(2), 745-762 (1989) @No $ @ @ Bird R.B., Armstrong R.C. and Hassager O., Dynamics of Polymeric Liquids, John Wiley & Sons, Chap. 4 (1987) @No $ @ @ Chossat P. and Looss G., The Couette-Taylor Problem," Springer-Verlag, Chap.'s. 1,2, 3 (1994) @No $ @ @ Mohan Lal and Gangotri K.M,A Comparative study on the Performance of Photogalvanic cells with mixed Surfactant for Solar Energy conversion and storage: D-Xylose- Methylene Blue systems, Res. J. Recent Sci.,2(12), 19-27 (2013) @No $ @ @ Chikwe T.N., Osuji L.C., Ogali R.E. and Okoye I.P. Effects of Petroleum Condensate/Diesel Mixture on Diesel Engines, Res. J. Recent Sci.,2(1), 1-8 (2013) @No $ @ @ Mojtaba Khalili, Azim Akbarzadeh, Mohsen Chiani and Sepideh Torabi, The effect of Nanoliposomal and PE Gylated Nanoliposomal Forms of 6-Gingerol on Breast Cancer Cells, Res. J. Recent Sci.,2(5), 29-33 (2013) @No $ @ @ Dileep E., Nebish M. and Loganathan V. Aerodynamic Performance Optimization of Smart Wing Using SMA Actuator, Res. J. Recent Sci, 2(6), 17-22 (2013) @No $ @ @ Mussarat Yasmin, Muhammad Sharif, Sajjad Mohsin, Use of Low Level Features for Content Based Image Retrieval: Survey, Res. J. Recent Sci.,2(11), 65-75 (2013) @No 
<#LINE#>The Analysis of Connected Components and Clustering in Segmentation of Persian Texts<#LINE#>S.@Askarpour,M.@SaberiAnari,A.@Brumandnia,M.M.@Javidi<#LINE#>71-77<#LINE#>12.ISCA-RJRS-2013-1038.pdf<#LINE#>Faculty Member of Technical and Vocation University, Kerman, IRAN @ Faculty Member of Technical and Vocation University,Yazd, IRAN @ Faculty member of Azad University, South Tehran Branch, Tehran, IRAN @ Faculty member of Shahid Bahonar University, Kerman, IRAN <#LINE#>8/12/2013<#LINE#>13/2/2014<#LINE#> According to the application development computer in human life and increasing use of structured electronic documents and advantages of using them, the need to convert paper documents into their electronic format and use of image processing has been increased. Among researches that have been done in this field, we can point to the identification of the words in texts that comprehensive researches have been done in different languages such as : English, Japanese and Chinese. However, in Persian and Arabic languages, due to the complexity of these languages such as letters interconnection and various forms for letters according to their position in word, it is still need to research in this field. Segmentation is one of the most important steps in letter recognition system that it accuracy and speed is very important. Segmentation of Persian texts is the hardest since the specification of this language. In this study, we try to present a fast and efficient algorithm than same algorithms for segmentation of Persian documents with that help of connected components and clustering, we pay to identification and grouping of text and image areas. The users of this project are typical and we can use it as preprocessing steps of Optical Character Recognition systems. This research has been done on a collection of 100 scanned images of Persian newspapers and magazines with 300 dpi clarification and also it shows the simulation results with accuracy rate of %92.3 and significant speed than other approaches such as Voronoi Diagram. <#LINE#> @ @ O’Gorman, L. and R. Kasturi, Document Image Analysis, Los Alamitos,  California: IEEE computer Society Press, (1995) @No $ @ @ Haralick, R. Document Image Understanding: Geometric and Logical Layout. in Proc. IEEE Conf. Computer Vision and Pattern Recognition (1994) @No $ @ @ Jain, A. and Y. Zhong, Page Segmentation Using Texture Analysis. Pattern Recognition, 29, 743-77 (1996) @No $ @ @ Jain, A. and K. Karu, Learning Texture Discrimination Masks. IEEE Trans, Pattern Analysis and Machine Intelligence, 18,  195-20 (1995) @No $ @ @ Jain A. and Bhattacharjee S., Text Segmentation Using Gabor Filters for Automatic Document Processing, Machine Vision and Applications, , 169-184 (1992) @No $ @ @ Ittner D. and Baird H., Language-Free Layout Analysis. in Proc. Second Int’l Conf. Document Analysis and Recognition, Tsukuba, Japan (1993) @No $ @ @ Baird H., Anatomy of a Versatile Page Reader. in Proc. IEEE. (1992) @No $ @ @ Antonacopoulos A. and Ritchings R., Flexible Page Segmentation Using the Background. in Proc. 12th Int’l Conf. Pattern Recognition, Jerusalem (1994) @No $ @ @ Amamoto, N., S. Torigoe, and Y. Hirogaki. Block Segmentation and Text Area Extraction of Vertically/Horizontally Written Document. in Proc. Second Int’l Conf. Document Analysis and Recognition. Tsukuba, Japan (1993) @No $ @ @ Akindele, O. and A. Belaid. Page Segmentation by Segment Tracing. in Proc. Second Int’l Conf. Document Analysis and Recognition. Tsukuba, Japan (1993) @No $ @ @ Nagy, G. and S. Seth. Hierarchical Representation of Optically Scanned Documents. in Proc. Seventh Int’l Conf. Pattern Recognition, Montreal (1984) @No $ @ @ Krishnamoorthy M., et al., Syntactic Segmentation and Labelingof Digitized Pages From Technical Journals. IEEE Trans. Pattern Analysis and Machine Intelligence, 15, 743-747 (1993) @No $ @ @ Pavlidis, T. and J. Zhou. Page Segmentation by White Streams. in Proc. First Int’l Conf. Document Analysis and Recognition. Saint-Malo, France (1991) @No $ @ @ Ingold, R. and D. Armangil. A Top-Down Document Analysis Method for Logical Structure Recognition. in Proc. First Int’l Conf. Document Analysis and Recognition. Saint-Malo, France (1991) @No $ @ @ Fujisawa H. and Nakano Y., A Top-Down Approach for the Analysis of Documents. in Proc. 10th Int’l Conf. Pattern Recognition. Atlantic City, N.J (1990) @No $ @ @ Chenevoy Y. and A. Belaid. Hypothesis Management for Structured Document Recognition. in Proc. First Int’l Conf. Document Analysis and Recognition, Saint-Malo, France (1991) @No $ @ @ Liu J., et al. Adaptive Document Segmentation and Geometric Relation Labeling: Algorithms and Experimental Results. in Proc. 13th Int’l Conf. Pattern Recognition : Vienn (1996) @No $ @ @ Esposito F., Malerba D. and Semeraro G., A Knowledge-Based Approach to the Layout Analysis. in Proc. Third Int’l Conf. Document Analysis and Recognition, Montreal (1995) @No $ @ @ O’Gorman, L., The Document Spectrum for Page Layout Analysis. IEEE Trans. Pattern Analysis and Machine Intelligence. 15, 1162-1173 (1993) @No $ @ @ Parhami B. and Tereghi M., Automatic recognition of printed Farsi Text. Pattern Recognition (1981) @No $ @ @ Zheng L., H. A.H., and X. tang, A new algorithm for machine printed  Arabic Character segmentation, pattern Recogniting Letters. 2(15), (2004) @No $ @ @ Yin, F. and Cheng-LinLiu, Handwritten Chinese text line segmentation by clustering with distance metric learning, pattern recognition, 42, 3146-3157 (2009) @No $ @ @ Ahmad H.A. and Zitar R.A., Development of an efficient neural-based segmentation technique forArabic handwriting recognition, Pattern Recognition, 43, 2773-2798 (2010) @No $ @ @ Romeo-Parker K., Miled H. and Lecourtier Y., A New Approach for Latin/Arabic character segmentation, in in Proc. International Conference on Document Analysis and Recognition (1995) @No $ @ @ Rastegarpour M. and J. Shanbezadeh, OFF-Line Hand-written Farsi/Arabic Word segmentation into subword under Overlapped or Connected Conditions. in The Springer Proceeding of International Workshop on Advances in pattern Recognition IWAPR2007. University of Loughborough, Plymouth-UK (2007) @No $ @ @ Pechwitz M. and V. Marger, Baseline estimation for Arabic handwriting Recognition (2002) @No $ @ @ Hashemi M.R., O. Fatemi, and R. safavi. Persian Cursive script Recognition. in proc. International conference on Document Analysis and Recognition (1995) @No $ @ @ Kise K., Sato A. and Iwata M., Segmentation of Page Images Using the Area Voronoi Diagram. Computer Vision and Image Understanding, 70(3), 370-382 (1998) @No $ @ @ Azmi R. and Kabir E., A new segmentation technique for omnifont Farsi Text. Pattern Recognition Letters, 22 (2001) @No $ @ @ Motawa D., A. Amin, and R. Sabourin ,segmentation of Arabic Cursive Script, in IEEE. (1997) @No $ @ @ Safabakhsh R. and P. Adibi, Nastaaligh Hand Written Word   Recogntion   Using   A  Continuous-Density Variable-Duration  Hmm. The  Arabian Journal for Science and Engineering, 30(Number  1 B) (2005) @No $ @ @ Jain R., Kasturi R. and Schunck B.G., Machine vision: McGraw-Hill, Inc (1995) @No $ @ @ Simon A., Pret J. and Johnson A., A Fast Algorithm for Bottom-Up Document Layout Analysis, IEEE Trans. Pattern Analysis and Machine Intelligence, 19, 273-276 (1997) @No $ @ @ Kovács F., Legány C. and Babos A., Cluster Validity Measurement Techniques, Department of Automation and Applied Informatics, Budapest University of Technology and Economics (2003) @No $ @ @ Keller, F., Clustering, in Tutorial Slides, Computer University Saarlandes, (2003) @No $ @ @ Muhammad Altaf Khan,  Islam S., Murad Ullah, Sher Afzal Khan, G. Zaman, Muhammad Arif1 and Syed Farasat Sadiq, Application of Homotopy Perturbation Method to Vector Host Epidemic Model with  Non-Linear Incidences, Research Journal of Recent Sciences, 2(6), 90-95 (2013) @No $ @ @ Farooq Ahmad, Sher Afzal Khan, Ilyas Fakhir and Yaser Daanial Khan, A Survey on Linear Algebraic Approaches for the Analysis of Petri Net based Models, Res. J. Recent Sci., 2(5), 21-28 (2013) @No $ @ @ Panah Amir, Enhanced SLAM for a Mobile Robot using Unscented Kalman Filter and Radial Basis Function Neural Network, Res. J. Recent Sci.,2(2), 69-75 (2013) @No $ @ @ Belsare Satish and Patil Sunil, Study and Evaluation of uses behavior in e-commerce Using Data Mining, Res. J. Recent Sci., 1(ISC-2011), 375-387 (2012) @No
<#LINE#>The Brick Taken out in Six Characters in search of an Author<#LINE#>Jamalinesari@Ali<#LINE#>78-83<#LINE#>13.ISCA-RJRS-2014-098.pdf<#LINE#> Department of English Language and Literature, Islamic Azad University, Ilam Branch, Ilam, IRAN<#LINE#>4/1/2014<#LINE#>22/2/2014<#LINE#>Deconstruction is no unified body of principles or methods applied neatly to text, rather a number of slightly different points of view and modes of practice take shelter under the paradoxical title 'deconstruction. So it sometimes  even seems  more appropriate to use it in the plural form 'deconstructions', nevertheless Bressler suggests a convenient step – by – step  procedure in a deconstructive reading: discover the binary operations that govern a text,  comment on the values , concepts and ideas behind these operations, reverse these present binary operations, dismantle previously held world views, accept the possibility of various levels of a text based on the new binary inversions, and allow the meaning of the text to be undecidable. Bressler’s, although nothing more than a convenient method haunted by oversimplification proves to be useful when reading a text. We will use it in this paper to help us trace the course of the text to find the loose brick in Millerian terms which ruins the whole building if it is taken out. <#LINE#> @ @ Lodge David, Modern Criticism and Theory: A Reader,New York: Longman, (1999) @No $ @ @ Derrida Jacques,Writing and Difference, Trans. Alan Bass, London, (1978) @No $ @ @ Pirandello, Luigi. Six Characters in Search of an Author, Methuen Drama, (1979) @No $ @ @ Brustein Robert, Pirandello’s Drama of Revolt, Twentieth-Century Views. Ed. GlaucoCombon. New Jersey: Prentice Hall, inc., (1967) @No $ @ @ Norris, Christopher, Deconstruction: Theory and practice,Methuen and Co. Ltd. (2002) @No $ @ @ De Man, Paul. Allegories of Reading: Figural Language in Rousseau, Nietzsche, Rilke, and Proust. New Haven, CT, (1979) @No $ @ @ Bressler Charles E. Literary Criticism: An introduction to Theory andPractice, Prentice-Hall, (1994) @No $ @ @ Miller, J. Hillis,  Fiction and Repetition, Oxford, (1982) @No $ @ @ Bertens, Hans. Literary Theory: The Basics, Rootledge, (2001) @No $ @ @ Bennett and Nicholas Royle. Literature,Criticism and Theory, Cambridge, (2003) @No $ @ @ Derrida, Jacques. Aporias, Trans.  Thomas Dutoit, Stanford, CA, (1993) @No
<#LINE#>Various Financing Resources and Future Abnormal Stock Returns<#LINE#>AbedReza@Taheri,Mehdi@Rezaei<#LINE#>84-87<#LINE#>14.ISCA-RJRS-2014-611.pdf<#LINE#>Accounting Department, Allame Amini High Educational Institude of Bahnamir, Babolsar, Mazandaran, IRAN @ Accounting Department, Rahedanesh High Educational Institude of Babol, Mazandaran, IRAN <#LINE#>13/3/2014<#LINE#>24/3/2014<#LINE#>The main goal of this paper is to investigate the relationship between various financing methods and the way of using proceeds provided from these methods with abnormal returns of 172 listed firms in Tehran Stock Exchange During a five year period. The firms can provide their fiscal sources by two ways of internal and external sources. Because the expenses of internal financing sources are different from external financing sources and this point, itself, affects the stock's return. Consequently the problem of the manner of firm's financing is very important for investors and especially for stock holders. Of course, only providing of fiscal sources as a bridge for next responsibility and may be more important i.e optimal allocation of these sources and funds to the investing designs is justifiable. This research is an empirical study, which investigates the relation between accounting and financial variables by using Spearman’s correlation coefficient. The results of this research show that net change in total financing and its components (i.e. internal financing and external financing) have no significantly negative relation with abnormal returns. However, there is significantly positive relation between internal financing and Abnormal Returns. Also, there is significantly negative relation between change in externally financed net operating assets and Abnormal Returns. Finally, there is no significantly negative relation between change in internally financed net operating assets and abnormal returns.<#LINE#> @ @ Morady Gohareh Mehdy, Shams Gharneh Naserand Aminnayeri Majid., Cash Management in Production Planning: An Approachfor Iranian Industries, Research Journal of Recent Sciences, ), 23-32 (2014) @No $ @ @ Seyednezhadfahim S.R., Eghdami E., Yosefnezhad S. and Maleki M., Investigating the Procedure of Financial Factors in Successful Companies, Research Journal of Recent Sciences, ), 44-48 (2013) @No $ @ @ Scott R. and Richard S., External Financing and Future Stock Return,Working Paper, the Wharton School (2003) @No $ @ @ Aggarwal Vijender, Aggarwal Rachna and Khanna Parul., Micro Finance and Risk Management for Poor in India, Research Journal of Recent Sciences, ), 104-107 (2012) @No $ @ @ Scott, William Robert, Financial Accounting Theory, Third Edition,Termeh Publication (2003) @No $ @ @ Rani N. and Surendra S. Yadav, Innovative Mode of Financing and Abnormal Returns to Shareholders of Indian Acquiring Firms, Accepted Paper Series (2012) @No $ @ @ Joseph P. Ogden and Julie Fitzpatrick., An Empirical Analysis of Interactions among Failure Risk Proxies, External Financing, and Stock Returns, Working Paper (2009) @No $ @ @ Wang T. and Georgios Papanastasopoulos, Accruals and the Performance of Stock Returns Following External Financing Activities, Working Paper (2009) @No $ @ @ Bradshaw M.T, Richardson S.A. and Sloan R.G., The Relation between Corporate Financing, Analytics’ Forecasts and Stock Returns, Journal of Accounting and Economics, 42, 53-85 (2006) @No $ @ @ Hirshleifer Hou, Teoh and Zhang, Information in Balance Sheet about Future Stock Returns: Evidence from Net Operating Asset, Journal of Accounting and Economic, 38 (2004) @No $ @ @ Chaplinsky S. and Hansen R.S., Partial Anticipation, the Flow of Information and the Economic Impact of Corporate Debt Sales, Review of Financial Studies, 6(3), (1993) @No $ @ @ Masulis R. and Korwar A., Seasoned Equity Offerings: An Empirical Investigation, Journal of Financial Economics, 15, 91-118 (1986) @No $ @ @ Myers S.C. and Majluf N., Corporate Financing and Investment Decisions When Firms Have Information That Investors Do Not Have, Journal of Financial Economics, 13(2) (1984) @No $ @ @ Chul P. and Morton P., Internal Vs External Funding Sources and Earning Response Coefficients, Review of Quantitative Finance and Accounting, 16,  33-52 (2001) @No $ @ @ Muhammad Naveed, Ahmad Raza Bilal, Ahmad Ur Rehman, Noraini Bt, Abu Talib and Melati Ahmad Anuar., Evidence of Capital Structure Discipline in Financial Markets: A Study of Leasing and Insurance Companies of  Pakistan, Research Journal of Recent Sciences, ), 7-12 (2013) @No $ @ @ Javad Heydarzadeh, Hoseyn Jabbari and Hasan Ghodrati, The Study of the Relationship between Product Market Competition and Capital Structure of Companies Which is accepted inTehran Stock Exchange, Research Journal of Recent Sciences, ), 33-37 (2014) @No
<#LINE#>Characterizing Strengths of Snort-based IDPS<#LINE#>Ahmed@Ghilman,Mehdi@Hussain,M.N.A.@Khan<#LINE#>88-94<#LINE#>15.ISCA-RJRS-2013-483.pdf<#LINE#>Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST), Islamabad, PAKISTAN <#LINE#>27/7/2013<#LINE#>1/10/2013<#LINE#>The Internet has revolutionized computer networks and the last decade witnessed tremendous expansion in its usage. It provides remarkable opportunities and growth potential for all types of organizations, academia and businesses. Network security is vital for any organization connected to the Internet. Foolproof network security is a key challenge which can be addressed by hardening the network against threats e.g., hackers, malwares, botnets, data thieves etc. Firewalls, antivirus and intrusion detection systems are used to protect the network. Firewall can control network traffic but sole dependence on this type of security measure is not enough.  Attackers use open ports such as web server (http) port 80 and POP server port 110 to infiltrate networks. Intrusion detection system (IDS) minimizes security gaps and strengthens security of a network by analyzing the network packets for sifting malicious packets. Snort is renowned as a leader in IDS technology. Snort uses both misuse-based and anomaly-based techniques for capturing malevolent packets. Addition of prevention support in IDS is a step forward as it can help block malicious packets. Real time detection with prevention by Intrusion Detection and Prevention Systems (IDPS) has taken the security of a network to an advanced level by hardening the network against mischievous activities. The objective of this paper is to review the contemporary literature and to provide a critical evaluation of various techniques of intrusion detection and prevention systems. We analyze and identify the strengths and limitations of various techniques used in Snort-based IDPS systems. This paper also highlights the usefulness of IDPS in network security environment. <#LINE#> @ @ Santosh K., Technical Problems Especially Web Security Related With World Wide Web,  ISCA J. Engineering Sci.,   1(4), 53-56 (2012) @No $ @ @ Shivlal M., Kumar U S., Performance Analysis of Secure Wireless Mesh Networks, ISCA J. Engineering Sci., 1(3), 80-85 (2012) @No $ @ @ Yadav S K.., Rizvi S A A., Cybernetics Security Requirements and Reuse for Improving Information Systems Security,    ISCA J. Engineering Sci., 1(5), 51-54 (2012) @No $ @ @ Baba B D., Routing Protocols in Mobile Ad Hoc Networks, ISCA J. Engineering Sci.,1(6), 36-39(2012) @No $ @ @ Arnab P., Tahavranil., Blue-Soft: A Bluetooth based Wireless Secure download and upload station, ISCS Engineering Sci., 2(8), 12-17 (2013) @No $ @ @ Padmashani R., Sathyadevan S., Dath D., BSnort IPS, In proceedings of 12th International Conference on Intelligent Systems Design  and Applications, Kochi, India, 46-51(2012) @No $ @ @ Kalbande D, Singh M, Incidence Handling and Response System,. International Journal of Computer Science and Information security, 2(1), (2009) @No $ @ @ Salehi H., Shirazi H., Moghadam R., Increasing overall network security by integrating Signature-Based NIDS with Packet Filtering Firewall, In Proceeding of International Joint Conference on Artificial Intelligence, Hainan Island, 357-362 (2009) @No $ @ @ Alshubhi K., Aib I., Francois J., Boutaba R., Policy–Based Configuration Management Application to Intrusion Detection and Prevention, In proceedings of International Conference on Communication, Dresden, 1-6 (2009) @No $ @ @ Tang H., Xu C., Xi, Luo X., OuYang J., Traceback-based Bloomfilter IPS in defending SYN flooding attack In Proceedings of 5th International Wireless Communications, Networking and Mobile Computing, Beijing, 1-6 (2009) @No $ @ @ Xi J., A Design and Implement of IPS Based on Snort, In Proceedings of 7th International Conference on Computational Intelligence and Security, Hainan, 771-773 (2011) @No $ @ @ Tuteja A., Shanker R., Optimization of Snort for Extrusion and Intrusion Detection and Prevention, International Journal of Engineering Research and Applications, 2(3), 1768-1774 (2012) @No $ @ @ Hou X., Jiang Z., Tian X., The detection and prevention for ARP spoofing based on snort, In Proceedings of International Conference on Computer Application and System Modeling, Taiyuan,  5137-5139 (2010) @No $ @ @ Lee N-Y., Chiang H.J., The research of botnet detection and prevention,. In Proceeding of International Conference of Computer Symposium , Yang-Kang, Taiwan, 119-124 (2010) @No $ @ @ Patil S.,  Meshram B.B.,  Network Intrusion Detection and Prevention techniques for Dos attacks, International Journal of Scientific and Research Publication,  2( 7), (2012) @No $ @ @ Peng Y., Wang H., Design and Implementation of Network Instruction Detection System Based on Snort and NTOP, In Proceedings of International Conference on Systems and Informatics ,  Yantai, 116-120 (2012) @No $ @ @ Naveed M., Nihar S., Babar M., Network Intrusion Prevention by Configuring ACLs on the Routers, based on Snort IDS alerts, In Proceedings of  6th International Conference on Emerging Technologies, Islamabad, 234239  (2010) @No $ @ @ Patil S., Meshram B.B., Intrusion Prevention System, International Journal of Emerging trends in Engineering and Development, 4(2), (2012) @No $ @ @ Li H., Liu D., Research on Intelligent Intrusion Prevention System Based on Snort, In Proceedings of International Conference on Computer, Mechatronics, Control, and Electronic Engineering, Changchun, 251-253 (2010) @No $ @ @ Sandip S., Ajit M., Bapusaheb D., An Improved Approach for Signature Based Intrusion Detection and Prevention, In  Proceedings on International Conference in Computational Intelligence, New York, (2012) @No
@Review Paper
<#LINE#>UniCon Remote Control Model – A Mobile System for Assistive Technology<#LINE#>K.@Ahsan,S.@Iqbal,Nadeem@A.,M.@Sarim<#LINE#>95-102<#LINE#>16.ISCA-RJRS-2013-953.pdf<#LINE#>Department of Computer Science, Federal Urdu University of Arts, Science and Technology, Karachi, PAKISTAN <#LINE#>27/11/2013<#LINE#>28/2/2014<#LINE#>People with disability of any kind i.e. physical, mental or psychological may still be able to actively participate in society and spend a better life by using Assistive Technology devices/appliances. Assistive technology refers to the technology that provides assistance to disable person in reducing the effects of disability and enabling them to take actively part in their routine life. Researchers have proposed different AT devices as well as comprehensive systems to help people with disability in various areas. There are many industries, which intensively focused on designing and implementing AT devices or systems for disable persons, but integration of these devices and systems from different vendors is a major issue. Elder people or people with health issues use a significant number of AT devices/appliances on day-to-day basis. Operating these appliances with single mobile remote control can assist their living. However, as various vendors provide these appliances, compatibility of these appliances with single interface is challenging task. Mostly these devices/appliances and systems are not compatible with each other. This research proposes a model for universal remote control provided on mobile. This model integrates assistive living function and exploits mobile technology for providing a consistent interface for handling every device/appliance. A familiar interface for every device/appliance can assist people specially elder/disabled person to handle various devices and provide good user experience.<#LINE#> @ @ Disability Information - Benefits, Facts and Resources for Persons with Disabilities, Disabled World, http://www.disabled-world.com/disability/#  Access on 10/07/2012 (2012) @No $ @ @ Nehmer J., Becker M., Karshmer A. and and Lamm R., Living assistance systems: an ambient intelligence approach, In Proceedings of the 28th international conference on Software engineering, (ACM) 43-50 (2006) @No $ @ @ Muhammad Usman M. and Tomimoto I., The Aging Population of Japan: Causes, Expected Challenges and Few Possible Recommendations, Research Journal of Recent Sciences,2(11), 1-4 (2013) @No $ @ @ Udhayakumar P. and Ponnuswamy I., Informal Care Received by Elderly Residing in Slums of  Tiruchirappalli District, Tamilnadu, India, Research Journal of Recent Sciences, 1(1), 15-18 (2012) @No $ @ @ Lee J. S., Su Y. W. and Shen C. 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@Case Study
<#LINE#>A Consideration of Operation Rate of Learning Organization Model (LO Model) of Senge in education system of Iran Case study: Vocational High Schools in Kashan, Iran<#LINE#>Fallah@,AliMohammad<#LINE#>103-111<#LINE#>17.ISCA-RJRS-2013-225.pdf<#LINE#>University of Isfahan, Tehran, IRAN<#LINE#>5/5/2013<#LINE#>19/7/2013<#LINE#>The current study considers the operation rate of dimensions of a learning organization – including Personal Mastery, Mental Models, Shared Vision, Team Learning and Systems Thinking – in Vocational High Schools in Kashan. The study is descriptive due to its hypotheses and study objectives. Statistical Population of study includes teachers and administrators (managers and their assistants) of Vocational High Schools in Kashan and sample size of study includes 80 teachers and administrators employed by Ministry of Education. According to analysis of data and other results, no significant relationship was found between demographic characteristics of teachers and administrators, level of education and work experience and the rate of componential operation of learning organization. Among all dimensions of field of study and age groups, only Personal Mastery had a significant relationship, and other dimensions were insignificant. From viewpoint of job position (teacher and administrator), Personal Mastery, Systems Thinking and Team Learning had significant relationship and two other dimensions were not significant.  <#LINE#> @ @ Majidi, Ardalan, The Best System, Terme Publication,Tehran, 151-155 (2002) @No $ @ @ Awasthy Richa, Rajen K. 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<#LINE#>Interactive Relationship between the Dimensions of Social Capital and Entrepreneurial Orientation with Respect to the Characteristics Approach (Case Study: City of Tabriz, Iran)<#LINE#>Atazadeh@Yashar,ghahfarkhi@Saidehhaydariyan,Rezaei@kazem,Karimi@Maryam<#LINE#>112-120<#LINE#>18.ISCA-RJRS-2013-478.pdf<#LINE#>Young Researchers and Elite Club, Pars Abad Branch, Islamic Azad University, Pars Abad, IRAN @ Department of Management, East Azarbaijan Science and Research Branch, Islamic Azad University, Tabriz, IRAN <#LINE#>24/7/2013<#LINE#>2/9/2013<#LINE#>The present study examined the relationship between social capital and entrepreneurialism according to the approach of characteristics. The study sample consisted of residents of Tabriz (Iran). The population considered by morgan and more reliable, with 400 participants were recruited to the study. The data collection method is field studies and library research. In order to collect data from field studies of social capital and entrepreneurship questionnaire was used. The face validity of the questionnaire was reliability was calculated by Cronbach's alpha for the social capital questionnaire and 0.83 and 0.93 were reached. To test the research hypotheses of this study, multiple Regression and Pearson's correlation coefficient was used. Data were analyzed by 18 SPSS software. The results showed: significant positive relationship between entrepreneurship and social capital, there is a range of trust, cooperation, participation have a significant impact on entrepreneurship. There is a significant positive relationship between the influence of emotion and personality characteristics related to entrepreneurship such as risk taking, internal locus of control and pragmatism. 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