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06 10.22034/zagros.2020.0726.0837 https://rcsj.ir/user/articles/127 Farzanegan Pub mEDRA 01 01 127 zagros Publisher IR 01 127 JB 28 1 4 01 202605 7 10 01 [1] Sunitha, S., RamaSatish, A., “Extended Image Features for User Intention Refined Image Search”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 4, Issue 2, pp. 278-282, February 2014. [2] Huu, Q., N., Thu, H., N., T., Quoc, T., N., “An Efficient Content Based Image Retreival Method for Retrieving Images”, International Journal of Innovative Computing, Information and Control, Volume 8, No. 4, pp. 2823-2836, April 2012. [3] Khokhar, A., Talwar, R., “Content-based Image Retrieval: Feature Extraction Techniques and Applications”, International Journal of Computer Applications, (IJCS), pp. 9-14. 2012. [4] Nascimento, M., A., Sridhar, V., Li, X., “Effective and Efficient Region-based Image Retrieval”, Journal of Visual Languages and Computing, 14, pp. 151-179, 2003. [5] Neetu Sharma. S., Paresh Rawat, S., Jaikaran Singh, S., “Efficient CBIR using Color Histogram Processing”, Signal and Image Processing : An International Journal (SIPIJ) Vol. 2, No. 1, pp. 94-112, March 2011. [6] Chang, R., Lin, S., Y., Ho, J., M., Fann, C., W., Wang, Y., C., “A Novel Content Based Image Retrieval System Using K-Means / KNN with Feature Extraction”, ComSIS Vol. 9, No. 4, Special Issue, pp. 1645-1661, December 2012. [7] Yasmin, M., Sharif, M., Sajjad, M., “Use of Low Level Features for Content Based Image Retrieval: Survey”, Research Journal of Recent Sciences, Vol. 2(11), pp. 65-75, November 2013. [8] Santhosh, D., Trueman, T., E., “Artificial Neural Network Technique for CBIR Based on Query Image Feature Extraction”, International Journal of Innovative Research in Computer, Vol. 2, Special Issue 3, pp. 223-230, July 2014. [9] Bai TZ, Hou XB, an improved image matching algorithm based on sift. Trans Beijing Inst Technol 33(6):622–628 Bay H, Ess A, Tuytelaars T (2006) Surf: speeded up robust features, 2013. [10] Cen YG, Chen XF, Cen LH, Compressed sensing based on the single layer wavelet transform for image processing. J Commun 31(8A):51–55, 2010. [11] Chen TH, Horng G, Lee WB, a publicly verifiable copyrightproving scheme resistant to malicious attacks. IEEE Trans Ind Electron 52(1):327–334, 2005. [12] Jiang N, Wdem: weighted dynamics and evolution models for energy-constrained wireless sensor networks. Phys A: Stat Mech Appl 404:323–331, 2014. [13] Holland J. Genetic algorithms and the optimal allocation of trials.SIAM J. Comput. 2, 88-105, 1979. [14] Kennedy J, Eberhart R. C. Particle Swarm Optimization, Proceedings of the 4th IEEE International Conference on Neural Networks, pp. 1942-1948, 1995. 1 A01 مجید محمدپور مجید محمدپور C. مجید محمدپور 01 eng 202605 2026 C. zagros 06 10.22034/zagros.2020.0726.0928 https://rcsj.ir/user/articles/128 Farzanegan Pub mEDRA 01 01 128 zagros Publisher IR 01 128 JB 28 1 4 01 202605 7 10 01 [1] Zommit.com [2] باشگاه خبرنگاران جوان [3] یورونیوز [4] S. R. Kheradpisheh, A. Nowzari-Dalini, R. Ebrahimpour, and M. Ganjtabesh, “An Evidence-Based Combining Classifier for Brain Signal Analysis,” PLoS One, vol. 9, no. 1, p. e84341, 2014. [5] Brumberg JS, Nieto-Castanon A, Kennedy PR, Guenther FH. Brain–computer interfaces for speech communication. Speech Commun 2010; 52(4):367-379. [6] Halder S, Rea M, Andreoni R, Nijboer F, Hammer E, Kleih S, et al. An auditory oddball brain–computer interface for binary choices.Clinical Neurophysiology 2010;121(4):516-23. [7] A. Ahangi, M. Karamnejad, N. Mohammadi, R. Ebrahimpour, and N. Bagheri, “Multiple classifier system for EEG signal classification with application to brain–computer interfaces,” Neural Comput. Appl., vol. 23, no. 5, pp. 1319–1327, 2013. [8] S. R. Kheradpisheh, A. Nowzari-Dalini, R. Ebrahimpour, and M. Ganjtabesh, “An Evidence-Based Combining Classifier for Brain Signal Analysis,” PLoS One, vol. 9, no. 1, p. e84341, 2014. [9] Dayan E, Censor N, Buch ER, Sandrini M, Cohen LG. Noninvasive brain stimulation: from physiology to network dynamics and back. Nat Neuroscience. 2013; 16: 838-44. [10] Aleman A. Use of repetitive transcranial magnetic stimulation for treatment in psychiatry. Clin Psychopharmacol Neurosci. 2013; 11(2): 53-9. [11] Yue J, Zhou Z, Jiang J, Liu Y, Hu D. Balancing a simulated inverted pendulum through motor imagery: An EEGbased real-time control paradigm. Neuroscience Letters 2012:524(2):95-100. [12] Diekelmann S, Buchel C, Born J, Rasch B. Labile or stable: opposing consequences for memory when reactivated during waking and sleep. Nat Neurosci. 2011; 14: 381-6. [13] Cohen DA, Robertson EM. Preventing interference between different memory tasks. Nat Neurosci. 2011; 14(8): 953-5. [14] Esslinger C, Schuler N, Sauer C, Gass D, Mier D, Braun U, et al. Induction and quantification of prefrontal cortical network plasticity using 5 Hz rTMS and fMRI. Hum Brain Mapp. 2014; 35(1): 140-51. [15] Gaudeau-Bosma C, Moulier V, Allard AC, Sidhoumi D, Bouaziz N, Braha S, et al. Effect of two weeks of rTMS on brain activity in healthy subjects during an n-back task: A randomized double blind study. Brain Stimulation. 2013; 6(4): 569-75. [16] Barr MS, Farzan F, Rajji TK, Voineskos AN, Blumberger DM, Arenovich T, et al. Can repetitive magnetic stimulation improve cognition inschizophrenia? Pilot data from a randomized controlled trial. Biol Psychiatry. 2013; 73(6): 510-7. [17] Guse B, Falkai P, Gruber O, Whalley H, Gibson L, Hasan A, et al. The effect of long-term high frequency repetitive transcranial magnetic stimulation on working memory in schizophrenia and healthy controls – A randomized placebo-controlled, double-blind fMRI study. Behav Brain Res. 2013; 237: 300-7. [18] Pope PA, Miall RC. Restoring cognitive functions using non-invasive brain stimulation techniques in patients with cerebellar disorders. Front Psychiatry. 2014; 5(33): doi: 10.3389/fpsyt.2014.00033 [19] Argyropoulos GP, Muggleton NG. Effects of Cerebellar Stimulation on Processing Semantic Associations. Cerebellum. 2013; 12(1): 83-96. [20] prevents implicit learning acquisition in antidepressant-free patients with major depressive disorder. Prog Neuropsychopharmacol Biol Psychiatry. 2013; 43: 146-50 1 A01 رضا مولایی فرد رضا مولایی فرد C. رضا مولایی فرد 01 eng 202605 2026 C. zagros 06 10.22034/zagros.2020.0727.0543 https://rcsj.ir/user/articles/129 Farzanegan Pub mEDRA 01 01 129 zagros Publisher IR 01 129 JB 28 1 4 01 202605 7 10 01 [1] Information and Communication Technology as Tools for Empowerment of Inmates. OTA-CIT-366. 1998. URL.: https://www.princeton.edu/~ota/disk2/1988/8809/8809.pdf (Viewed 4 Dec 2016), (Washington, DC: U.S. Government Printing Office) : EUROPEAN JOURNAL OF EDUCATIONAL RESEARCH, 1998, Vol. p.31. [2] Electronic prison guard, information technology in the service of prison and prison guard. Azad, Saeed Noori. 2011. s.l. : The BBC, is based on research by the London Police Cyber Studies Center, 2011. [3] Information Technology, a new approach to job creation. Mehdi, Fahimi. 2018. s.l. : Tadbir Monthly, 2018. [4] Correctional service robots to protect prisons in South Korea. gizmowatch.com. 2018. s.l. : FUCURISTIC NEWS, 2018. [5] Design of Security and Monitoring System for Prison. Li, Xinyu. 2013.. 282215143@qq.com, s.l. : © Springer-Verlag Berlin Heidelberg 2013, International School of Software, Wuhan University, Wuhan, China, 2013., Vols. F. Bian et al. (Eds.): G [6] Increasing Number of Jails, Prisons using Full-budy Digital Scanners. Matthew, Clarke. 2016. s.l. : Prison Legal News, 2016, Vol. page 42. [7] A REAL TIME TRACKING SYSTEM FOR INTERIOR SPACES. Enrico Hlimmerle, Paul W J Winton. Nancy - Metz, France, 1998. 325-330, s.l. : Department of Mechanical Engineering,Manufacturing Systems Research Group,The University of Auckland, Nancy - Metz, France, 1998, Vol. Copyright © IFAC Infonnation Control in Manufacturing. [8] The effect of digital technology on prisoner behavior. Cynthia McDougall1 & Dominic A. S. Pearson2 &, David J. Torgerson1 & Maria Garcia-Reyes1. 2017. s.l. : # Springer Science+Business Media B.V. 2017, 2017, Vols. J Exp Criminol, DOI 10.1007/s11292-017-9303-5. [9] CCTV in jail housing: An evaluation of. Sara A. Debus-Sherrilla, *, Nancy G. La Vigneb and P. Mitchell Downeyc , aICF International, 9300 Lee Highway, Fairfax, VA 22031, USA., E-mail: sara.debus-sherrill@icfi.com, bUrban Institute, 2100 M St. NW, Washington DC 20037, USA. Security Journal advance online publication, 28 July 2014; doi:10.1057/sj.2014.31. This project was supported by Grant No. 2006-RP-BX-0040, awarded by the National Institute of Justice, Office of, s.l. : cDepartment of Economics, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA., Security Journal advance online publication, 28 July 2014; doi:10.1057/sj.2014.31, Vol. Original Article. [10] Indoor Tracking and Localization of non-authorized Cellphones in Prisons Using Uplink Signals. A. Schmidt, L. Müller, B. Grossniklaus, Rolf Vetter , P. Schwab, F. Dellsperger. 2019. s.l. : 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 30 Sept. - 3 Oct. 2019, Pisa, Italy, 2019, Vols. 978-1-7281-1788-1/19/$31.00 ©2019 IEEE. [11] Technology and Social Control. Gary T Marx, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA. 2015. 2015, Vols. International Encyclopedia of the Social & Behavioral Sciences, 2nd edition, Volume 24 http://dx.doi.org/10.1016/B978-0-08-097086-8.85052-7 117. [12] The Prison Education Project. Renford, Reese. 2017. 2017, Vols. Political Science Department, Cal Poly Pomona University, Pomona, CA, USA. [13] The Emerging Role of Information Technology in Prison. Apri, Pattavina. 2018. The New Technology of Reentry, s.l.: The University of Massachusetts, Lowell, Federal PROBATION, 2018, Vol. Volume 68 Number 2. [14] Post, SC prisons get green light for anti-cellphone tech. Meg, Kinnard. 2016. s.l. : CorrectionsOne.com, 2016. [15] The Application of Artificial Intelligence in Prison. ShuFang Wu1, Jing Wang2, and QingChao Jiang1, Information Engineering Department,HeBei Software Institute Baoding, China, 2 Department of Information Management, The Central Institute for Correctional Police Baoding, China. s.l. : © Springer-Verlag Berlin Heidelberg 2012 , Vols. D. Jin and S. Jin (Eds.): Advances in FCCS, Vol. 1, AISC 159, pp. 331–335. [16] Research on Body-worm Cameras and Law Enforcement. National Institute of Justice. 2017. s.l. : National Institute of Justice NIJ, 2017, Vol. https://nij.ojp.gov. [17] Tracking Prisoners in Jail With Biometrics: An Experiment in a Navy Brig. Christopher A. Miles, Jeffrey P. Cohn. 2006. s.l. : NIJ Journal Issue 253, January 2006., 2006, Vol. https://www.nij.gov/journals/253/pages/tracking.aspx. [18] Biometrics in Corrections: Current and Future Deployment. Turner, Allan. 2003 : EBSCO Publishing, Vol. https://www.ncjrs.gov/pdffiles1/nij/201516.pdf. [19] Using Technology to Make Prisons and Jails Safer. philip, bulman, RMSE 2013, Part I, CCIS 398, pp. 119–127,.. 2010. s.l. : National Institute of Justice, 2010, Vol. NCJ 225764. [20] Probation Supervision By Smartphone. Russell, Webster. May 22, 2017. s.l. : Russell Webster, May 22, 2017. [21] Vircual Prison Visits Mean Some Prison Inmates Never See Family in the Flesh. Kirk, Mithell. 2017. s.l. : The Denver 2017. [22] 'It made me feel human again'': the tech easing inmates' isolation. the, guardian. Sat 18 Apr 2020 11.00 BST. s.l. : US prisons, Sat 18 Apr 2020 11.00 BST, Vol. https://www.theguardian.com. [23] Cell Phones in Prisons. National Institute of Justice. 2011. https://nij.ojp.gov, s.l. : nij National Institute of Justice, 2011. [24] How tablets are helping us clean up our prison. Stewart, Sean. 2017. s.l. : washingtoneexaminer.com, 2017. [25] Mobile Devices Help Improve Prison Life, In State and County Prisons,. nicic.gov. 2017. 2017, Vols. https://statetechmagazine.com/article/2017/01/state-and-county-prisons-mobile-devices-help-prisoners-start-better-life. [26] The effect of digital technology on prisoner behavior and reoffending: a natural stepped-wedge design. Garcia-Reyes1, Cynthia McDougall1 & Dominic A. S. Pearson2 & David J. Torgerson1 & Maria. 2017. s.l. : # Springer Science+Business Media B.V. 2017, 2017, Vols. DOI 10.1007/s11292-017-9303-5. [27] Community Oriented Correctional Health Services (COCHS), butler, ben. 2013. s.l. : (Oakland, CA), 2013 [28] Jails And Health Information Technology: A Framework For Creating Connectivity. By Ben Butler, Chief Information Officer, Community Oriented Correctional Health Services. August 2013. s.l. : COCHS,COMMUNITY ORIENTED CORRECTIONAL HEALT SERVICES, August 2013. [29] US prisons and jails using AI to mass-monitor millions of inmate calls. Chris, Francescani. 24 October 2019. s.l. : abc News, 24 October 2019. [30] Technology and the criminal. P. Leith et al. 1998. s.l. : © Springer-Verlag London Limited, 1998, Vol. The Computerised Lawyer. [31] A PRISON GUARD DURESS ALARM LOCATION SYSTEM. Thomas W. Christ, President , Philip A. Godwin, Manager of Applied Engineering, Robert E. Lavigne, P. Eng.,. 1993. HDS, Inc., 12310 Pinecrest Road, Reston, VA 22019 USA , Correctional Service Canada : CH3372-0193 $3.00 0 1993 IEEE, 1993. 106-119. [32] THE IMPACT OF INFORMATION AND COMMUNICATION TECHNOLOGIES ON PRISON INSTITUTIONS. Ganbadrakh, TSEND-AYUSH. 2017. s.l. : Hadmérnök (XI) 1, 2017, Hadmérnök (XI) 1, pp. 278-289 [33] The Prison Construction Decision Analysis for Reducing Capacity Overloads. Hsiao-Ling Chang1, Tyrone T. Lin2. 2017. E-mail: 1610533007@gms.ndhu.edu.tw, 2E-mail:tjlin@gms.ndhu.edu.tw, 1,2Department of International Business, Nation Dong Hwa University, Hualien, Taiwan , : 978-1-5386-0948-4/17/$31.00 ©2017 IEEE, 2017. [34] سازمان زندان ها و اقدامات تامینی و تربیتی. تهران, سازمان زندان ها و اقدامات تامینی و تربیتی استان. [35] رویکردی جدید به نظام زندانبانی بازگشتی سعادتمندانه. شمس, علی.1382. s.l. : نشر راه تربیت، تهران, 1382. 1 A01 محمد ضیاء قلقاچی محمد ضیاء قلقاچی C. محمد ضیاء قلقاچی 01 eng 202605 2026 C. zagros 06 10.22034/zagros.2020.0727.1014 https://rcsj.ir/user/articles/130 Farzanegan Pub mEDRA 01 01 130 zagros Publisher IR 01 130 JB 28 1 4 01 202605 7 10 01 [1] J. Han, J. Pei, and M. Kamber, Data mining: concepts and techniques. Elsevier, 2011. [2] H. Liu and H. Motoda, Feature selection for knowledge discovery and data mining, vol. 454. Springer Science & Business. [3] Al-Tashi, Q., Abdulkadir, S. J., Rais, H. M., Mirjalili, S., & Alhussian, H. (2019). Binary Optimization Using Hybrid Grey Wolf Optimization for Feature Selection. IEEE Access, 1–1.doi:10.1109/access.2019.2906757. [4] Li, Y, Li, T. & Liu, H. (2017). Recent advances in feature selection and its applica- tions. Knowledge and Information Systems, 53 (3), 551–577. [5] Z. Avazzadeh, and M.Heydari, Chebyshev polynomials for solving two dimensional linear and nonlinear integral equations of the second kind, Comput. and Appl. Math., 31(1) (2012) 127-142. [6] M. Rahimi, Y.Shahmorad, , S.Talati, And F.Tari, An Operational Method for The Numerical Solution of Two Dimensional Linear Fredholm Integral Equations with an Error Estimation, Bulletin of the Iranian Mathematical Society, 36(2) (2010) 119-132.. [7] E.Tohidi, , Taylor matrix method for solving linear two-dimensional Fredholm integral equations with Piecewise Intervals, Computational and Applied Mathematics, 34(3) (2015) 1117-1130 [8] Wazwaz, A. M. (2011). ”Linear and nonlinear integral equations: methods and applications”. Springer Science & Business Media. [9] Mirzaee, F. and Hadadiyan, E., Numerical solution of linear Fredholm integral equations via two-dimensional modification of hat functions, Appl. Math. Comput., 250 (2015) 805-816. [10] Guoqiang, H. and Wang, R., Richardson extrapolation of iterated discrete Galerkin solution for twodimensional Fredholm integral equations, J. Comput. and Appl. Math.,139 (2002) 4963. [11] Guoqiang, H. and Jiong, W., Extrapolation of Nystrom solution for two-dimensional nonlinear Fredholm integral equations, J. Comput. and Appl. Math., 134 (2001) 259-268. [12] Lin, Q., Sloan, I. H. and Xie R., Extrapolation of the iteration collocation method for integral equations of the second kind, SIAM J. Numer. Anal., 27 (1990) 1535-1541. [13] McLean, W., Asymptotic error expansions for numerical solutions of integral equations, IMA J. Numer. Anal.,9(1989) 373-384. [14] Rajabioun, R. (2011). Cuckoo optimization algorithm. Applied soft computing, 11(8), 5508-5518 1 A01 حسین رحیمی، رضا پورقلی حسین رحیمی، رضا پورقلی C. حسین رحیمی، رضا پورقلی 01 eng 202605 2026 C. zagros