عنوان فارسی مقاله:
عملکرد و تجزیه و تحلیل بهره وری الگوریتم THP: دیدگاه عملی
عنوان انگلیسی مقاله:
Performance and efficiency analysis of THP algorithms: A practical perspective
سال انتشار : 2016
عنوان فارسی مقاله:
درهم سازی قدرتمند تصویر براساس زاویه بردار رنگ و عملگر کنی
عنوان انگلیسی مقاله:
Robust image hashing based on color vector angle and Canny operator
سال انتشار : 2016
عنوان فارسی مقاله:
طرح چند ناحیه ای AGC با استفاده از الگوریتم رقابت استعماری در سیستم قدرت تجدید ساختار شده
عنوان انگلیسی مقاله:
Multi area AGC scheme using imperialist competition algorithm in restructured power system
سال انتشار : 2016
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مقدمه انگلیسی مقاله:
1. Introduction
AGC is used to maintain zero steady state errors in deviation ofsystem frequency and tie-line power exchange to other areas. Theconventional AGC scheme for isolated and interconnected powersystemhas beendiscussed in[1–3]. For the improvementinthe effi-ciency of the operation of power system, it has been restructuredaccording to open market system, which consists Gencos (generationcompanies), Transcos (transmission companies), Discos(distribution companies), and ISO (independent system operator).ISO is an independent agent which procures various ancillary servicesfor stable and secure operation of a power system [4,5]. AGCis one of the most important ancillary services among all. The maingoal of this ancillary service is to provide a balance between generationand load demand of each area and maintain the frequencyand tie-line power flow within the specified limit. In deregulatedpower system, poolco-based transactions, bilateral transactions,and a combination of poolco and bilateral i.e. mixed transactionsare used for various contracts between Discos and Gencos Various load frequency control issues related to deregulation isreported in [9]. Q4The increasing complexities in power system encouragedresearchers to explore appropriate control algorithms for AGC. Variouscontrol strategies, such as optimal control [10,11], variablestructure control [12,13], adaptive and self-tuning control [14,15],robust control [16–18] etc. have been discussed in the literature forAGC scheme. PID controller has a simple structure and widely usedin AGC scheme to control the frequency and the tie-line power. Theliterature reveals thatthe different methods have been proposed todetermine the parameters of a PID controller. A variety of optimizationalgorithm have been reported to find the optimal parametersof PID controller such as Fuzzy logic (FL) [19–24], genetic algorithm(GA) [25,26], bacterial foraging [27,28], particle swarm optimization(PSO) [29,30] etc. In addition to these, ICA may be used as analternate tuning method due to its global search and stable convergencecharacteristics. ICA is inspired by the socio political idea[31]. In recent years, ICA has been successfully applied to the differentcontrol processes or optimization problems, some of themare the economic dispatch problem [32], power system stabilizer[33], oil flow rate [34], reactive power dispatch [35] and tuning ofPID controller [36–39].
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کلمات کلیدی:
Power System Operation in Competitive Environment - Springerlink.springer.com/chapter/10.1007%2F978-1-4615-1465-7_3by K Bhattacharya - 2001 - Related articlesOperation of Restructured Power Systems. Part of the series The Kluwer ... Power System Operation in Competitive Environment. Kankar BhattacharyaAffiliated ...Multi area AGC scheme using imperialist competition algorithm in ...dl.acm.org/citation.cfm?id=3005574by N Kumar - 2016 - Related articlesMulti area AGC scheme using imperialist competition algorithm in restructured power system, 2016 Article. Bibliometrics Data Bibliometrics. · Downloads (6 ...Design Robust Controller for Automatic Generation Control in ...www.tandfonline.com/doi/pdf/10.4103/0377-2063.126971by H Hosseini - 2013 - Cited by 6 - Related articlesControl in Restructured Power System by Imperialist. Competitive Algorithm. Hosssein Hosseini, Behrooz Tousi, Navid Razmjooy1 and Mohsen Khalilpour2.Swarm, Evolutionary, and Memetic Computing: Second International ...https://books.google.com/books?isbn=3642271723Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das - 2011 - ComputersWiley (February 2002) Lai, L.L.: Power system Restructuring and Deregulation. ... Based Unit Commitment Genetic Algorithm for the Competitive Environment.Design Robust Controller for Automatic Generation Control in ...www.tandfonline.com/doi/abs/10.4103/0377-2063.126971by H Hosseini - 2013 - Cited by 6 - Related articlesSep 1, 2014 - Design Robust Controller for Automatic Generation Control in Restructured Power System by Imperialist Competitive Algorithm ...Searches related to competition algorithm in restructured power systemrestructured power system pptwhat is restructured power systemrestructured power system bookpower system restructuring and deregulation pdfpower system restructuring pdfoperation of restructured power systems by kankar bhattacharya pdfrestructuring of power system in indiaintroduction to restructuring of power system
عنوان فارسی مقاله:
تلفیقی از چاپ بندانگشت با چاپ کف دست و رگهای پشت دست
عنوان انگلیسی مقاله:
Fusion of palm-phalanges print with palmprint and dorsal hand vein
سال انتشار : 2016
عنوان فارسی مقاله:
الگوریتم جدید طبقه بندی انجمنی سریع برای تشخیص وب سایت های فیشینگ
عنوان انگلیسی مقاله:
A new fast associative classification algorithm for detecting phishing websites
سال انتشار : 2016
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مقدمه انگلیسی مقاله:
1. Introduction
The rapid growth in the number of internet users has dramati-cally increased e-shopping as a practical alternative to traditionalshopping. According to Ingham et al.[11], worldwide sales frome-shopping increased by 20.1% in 2014 to $1500 trillion. Therefore,the main objective of e-shops is to attract more and more con-sumers. This has led to increased competition among e-shops tointroduce quality services for consumers. However, the increasingnumber of e-shops and websites has been accompanied by a rapidgrowthinthenumberofphishingwebsites.Althoughinternetusersare aware of phishing, many fall victim to such attacks. The aim ofphishers is to make internet users believe that they are interact-ing with trusted online sites. Phishing websites can appear to beany type of website, including online payment or auction websites.An efficient method of identifying phishing websites is required inorder to protect users’ sensitive data.Phishing applies both technical tricks and social engineering toaccess private information illegally. The purpose of the phishingis to take private information by publishing a forged website thatappears to be a legitimate one, such as a real website of a com-pany or bank, and requesting a person to input private information
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کلمات کلیدی:
Detection of phishing emails using data mining algorithms - IEEE Xploreieeexplore.ieee.org/document/7399985/by S Smadi - 2015 - Cited by 4 - Related articlesThis paper proposes an intelligent model for detection of phishing emails which ... The extracted features are classified using the J48 classification algorithm.Predicting Phishing Websites Using Classification Mining Techniques ...ieeexplore.ieee.org/abstract/document/5501434/by M Aburrous - 2010 - Cited by 53 - Related articlesWe implemented six different classification algorithm and techniques to .... that uses Data Mining algorithms and tools to detect e-banking phishing websites in ...A new fast associative classification algorithm for detecting phishing ...dl.acm.org/citation.cfm?id=3005555by W Hadi - 2016 - Cited by 1 - Related articlesIn this paper, we propose a new AC algorithm called the Fast Associative Classification ... M. Ajlouni, W. Hadi, J. Alwedyan, Detecting phishing websites using ...[PDF]Detection of Phishing Websites Using Data Mining Techniqueswww.ijert.org/download/.../detection-of-phishing-websites-using-data-mining-techniq...along with data mining algorithms for detecting phishy websites. Here, we define 3 different phishing types and. 6 different criteria for detecting phishy websites ...Phishing Websites Detection Using Data Mining Classification Model ...scholarpublishing.org/index.php/TMLAI/article/view/1381by R Jabri - 2015 - Cited by 1 - Related articlesThis paper proposes an algorithm for phishing websites detection using data mining classification model. It is implemented and experimented using a dataset ...Searches related to algorithm for detecting phishing websitesphishing detection source codedetecting phishing websites using associative classificationonline detection and prevention of phishing attacks projectdetecting phishing websites using machine learninganti phishing project source codephishing detection algorithmphishing detection softwarelatest research papers on phishing
عنوان فارسی مقاله:
پیش بینی موقعیت نسبی برشCT با استفاده از سیستم هوش محاسباتی
عنوان انگلیسی مقاله:
Prediction of relative position of CT slices using a computational intelligence system
سال انتشار : 2015
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بخشی از مقاله انگلیسی :
The field of evolutionary computation is devoted to the developmentof search and optimization algorithms based on the coreprinciples of Neo-Darwinian evolutionary theory [11]. Evolutionaryalgorithms are population-based meta-heuristics, where candidatesolutions are stochastically selected and modified to produce new,and possibly better, solutions for a particular problem. In particular,in standard GP each individual is encoded using a tree structure,also known as a program tree, which can express a simple computerprogram, function, or operator [12]. Individual trees are built usingelements from two finite sets, internal nodes contain basic functionsfrom a Function set F, and leaves contain the input variablesof the program, taken from a Terminal set T. The basic GP algorithm,like every evolutionary algorithm, consists of the basic loopdepicted in Fig. 1. First, a random population of solutions (programtrees) are generated; then each individual is evaluated based on afitness or objective function; afterwards, individuals are selectedbased on their fitness scores; and finally, genetic operators (orsearch operators) are used to generate new candidate solutions,these are subtree mutation and subtree crossover as defined by[12]. The process terminates when a user defined stopping criterionis met, such as a maximum number of iterations (generations) orwhen the system has converged to a predefined fitness value. Thealgorithm then returns the solution (program tree) with the bestfitness value. Hereafter, we will refer to this algorithm as standardGP (STGP) [12].In the last few years, a rising topic in the field of GP has beenthe use of semantic methods [13]. These methods provide a way ofexploring the input–output behavior of programs, which is ultimatelywhat matters for problem solving. Semantics is usuallydefined as the vector of outputs obtained after the evaluation ofa GP individual on a set of fitness cases (training set). The topic ofsemantics contrasts with most previous work in GP, where geneticoperators work on the syntax of the individuals to transform theprogram code, while the effect on program output is indirect. Anyway,as discussed in [13], some existing semantic methods are alsoindirect, in the sense that they create new individuals using traditionalsyntax-based operators and, as a second step, accept thenewly created individuals if and only if some semantic criterion issatisfied. The introduction of a direct method has been proposedin [14], where the authors defined geometric semantic operators(GSOs) for GP. The objective of GSOs is to define modifications onthe syntax of GP individuals that have a precise correspondence ontheir semantics.
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کلمات کلیدی:
Medical Image Computing and Computer-Assisted Intervention - MICCAI ...https://books.google.com/books?isbn=364223626XGabor Fichtinger, Anne Martel, Terry Peters - 2011 - ComputersTherefore, the position of the organs which impact the attenuation of photons ... There, the learned function predicts the relative position, scale and orientation of the LV ... To detect and localize the heart chambers in 3D cardiac CT, Zheng et al.[PDF]Position Prediction in CT Volume Scans - DBSwww.dbs.ifi.lmu.de/Publikationen/Papers/ICML11-Global-Challenges.pdfby F Graf - 2011 - Cited by 5 - Related articlesPosition Prediction in CT Volume Scans ... and interpolation to create a relative coordinate sys- tem. ... mapping of the slice positions to a reference scale by.Predicting the Relative Efficacy of Verbal, Pictorial, and Tangible ...https://www.ncbi.nlm.nih.gov › NCBI › Literature › PubMed Central (PMC)by CT Cecile de Vries - 2005 - Cited by 38 - Related articlesPredicting the Relative Efficacy of Verbal, Pictorial, and Tangible Stimuli for ... yellow can and a red box are presented in random left–right positions across trials.Image-Guided and Adaptive Radiation Therapyhttps://books.google.com/books?isbn=1469801876Robert D. Timmerman, Lei Xing - 2012 - MedicalThis assumption that the marker position based on CT simulation is the same as during ... This will lead to an error in the relative position of the tumor to the marker. ... Tumor regression is challenging to predict, and there are few methods ...Technologies for Medical Sciences - Page 214 - Google Books Resulthttps://books.google.com/books?isbn=9400740689Renato Natal Jorge, Joao Tavares, Marcos Pinotti Barbosa - 2012 - Technology & EngineeringIn the case of diabetic patients, one can predict the areas where ulcers will ... it has become recent practice to use CT images to obtain 3D computer body models. ... to foot relative position being quite different from adequate positioning for gait ...Image-Guided Radiation Therapy - Page 212 - Google Books Resulthttps://books.google.com/books?isbn=1439802734J. Daniel Bourland - 2012 - MedicalRegistration of the liver (yellow) between noncontrast CT (left) and MR (middle) ... evaluation of target location relative to the machine isocenter and the position of normal ... Formal dose accumulation may improve the prediction of response, ...Searches related to Prediction of relative position of CTuci machine learningconnecticut
عنوان فارسی مقاله:
ابعاد یکسان داده با شبکه های عصبی برای مواد انفورماتیک
عنوان انگلیسی مقاله:
Uniforming the dimensionality of data with neural networks for materials informatics
سال انتشار : 2016
عنوان فارسی مقاله:
طبقه بندی نیمه نظارتی افزایشی جریان های داده ها از طریق خود عامل انتخابی
عنوان انگلیسی مقاله:
Incremental Semi-Supervised classification of data streams via self-representative selection
سال انتشار : 2016
عنوان فارسی مقاله:
اثرکلی خود اصلاحی با استفاده از مدل اجماع نهفته
عنوان انگلیسی مقاله:
Self-correcting ensemble using a latent consensus model
سال انتشار : 2016
عنوان فارسی مقاله:
خوشه گراف با استفاده از ویژگی شباهت ساختاری مجاورت-K
عنوان انگلیسی مقاله:
Graph clustering using k-Neighbourhood Attribute Structural similarity
سال انتشار : 2016
