به نام خدا
برای دانلود جدیدترین مقالات ISI پایگاه‌های IEEE، Science Direct، Springer و ACM مربوط به سالهای 2012 و 2013 می توانید به وب سایت ایران سای – مرجع علمی فنی مهندسی مراجعه نمایید.
بعد از ورود به سایت و عضو شدن در آن (که به صورت رایگان انجام می‌گیرد) در بخش جستجو مقاله مورد نظر خود را جستجو کرده و دانلود نمایید. هم‌چنین اگر مقاله مورد نظر شما در بین بیش از 200 هزار مقاله سایت موجود نبود، می توانید آن را در بخش سفارش ویژه حساب کاربری خود سفارش داده و در کمتر از 24 ساعت از طریق ایمیل آن را دریافت کنید. (معمولا سفارشات ویژه در کمتر از 4 ساعت انجام می گیرند.)
به علاوه، هر گونه سوال در زمینه نحوه کار سایت و انتخاب مقاله مورد نظر را می توانید با پشتیبان آنلاین سایت مطرح کرده و با کارشناسان سایت (که برخی از آنها دارای مدرک کارشناسی ارشد و دکترا در زمینه‌های مختلف فنی مهندسی می‌باشند) در میان بگذارید. آدرس ایمیل info@iransci.ir نیز برای مطرح نمودن هر مسئله یا مشکلی در اختیار شما عزیزان قرار دارد.
منتظر انتقادات و پیشنهادات سازنده شما هستیم.
ایران سای – مرجع علمی فنی مهندسی
حامی دانش بومی ایرانیان
به نام خدا
Title: Increasing the efficiency of quicksort using a neural network based algorithm selection model
Author: Ugur Erkin Kocamaz
Abstract: Quicksort is one of the most popular sorting algorithms it is based on a divide-and-conquer technique and has a wide acceptance as the fastest general-purpose sorting technique. Though it is successful in separating large partitions into small ones, quicksort runs slowly when it processes its small partitions, for which completing the sorting through using a different sorting algorithm is much plausible solution. This variant minimizes the overall execution time but it switches to a constant sorting algorithm at a constant cut-off point. To cope with this constancy problem, it has been suggested that a dynamic model which can choose the fastest sorting algorithm for the small partitions. The model includes continuation with quicksort so that the cut-off point is also more flexible. To implement this with an intelligent algorithm selection model, artificial neural net- works are preferred due to their non-comparison, constant-time and low-cost architecture features. In spite of the fact that finding the best sorting algorithm by using a neural net- work causes some extra computational time, the gain in overall execution time is greater. As a result, a faster variant of quicksort has been implemented by using artificial neural network based algorithm selection approach. Experimental results of the proposed algorithm and the several other fast sorting algorithms have been presented, compared and discussed.
Publish Year: 2013
Published in: Information Sciences - Science Direct
موضوع: شبکه های عصبی مصنوعی (Artificial Neural Networks)
ایران سای – مرجع علمی فنی مهندسی
حامی دانش بومی ایرانیان
به نام خدا
Title: Comparative Study of Traditional Requirement Engineering and Agile Requirement Engineering
Authors: Asma Batool , Yasir Hafeez Motla , Bushra Hamid , Sohail Asghar, Muhammad Riaz , Mehwish Mukhtar, Mehmood Ahmed
Abstract: Traditional RE and Agile RE are two different approaches on the basis of their planning and control mechanism. This Paper distinguishes the Traditional RE and Agile RE. Furthermore it investigates the reasons for which software industries shifted from Traditional RE to Agile RE. Research is carried out by conducting a literature study and finally a case study of software development to evaluate which approach has better success rate than other. With the help of our finding and results we have evaluated that Agile RE performs better than Traditional RE in large organizations where changes evolve throughout the development phase of software life cycle. Keywords- Requirement Engineering , Traditional Requirement Engineering, Agile Requirement Engineering, Scrum, Extreme Programming, Obj ect Oriented Development, Requirement Elicitation, Requirement Analysis, Requirement Management, Software Requirement Specification.
Publish Year: 2013
Published in: ICACT – IEEE
موضوع: مهندسی نرم افزار
ایران سای – مرجع علمی فنی مهندسی
حامی دانش بومی ایرانیان
به نام خدا
Title: Large nonadiabatic quantum molecular dynamics simulations on parallel computers
Authors: Fuyuki Shimojo , Satoshi Ohmura , Weiwei Mou , Rajiv K Kalia , Aiichiro Nakano , Priya Vashishta
Abstract: Wehave implemented a quantummolecular dynamics simulation incorporating nonadiabatic electronic transitions on massively parallel computers to study photoexcitation dynamics of electrons and ions. The nonadiabatic quantum molecular dynamics (NAQMD) simulation is based on Casida s linear response time-dependent density functional theory to describe electronic excited states and Tully s fewest- switches surface hopping approach to describe nonadiabatic electron ion dynamics. To enable large NAQMD simulations, a series of techniques are employed for efficiently calculating long-range exact exchange correction and excited-state forces. The simulation programis parallelized using hybrid spatial and band decomposition, and is tested for various materials.
Publish Year: 2013
Published in: Computer Physics Communications - Science Direct
موضوع: محاسبات کوانتوم (Quantum Computing )
ایران سای – مرجع علمی فنی مهندسی
حامی دانش بومی ایرانیان
به نام خدا
Title: Molecular solutions of the RSA public-key cryptosystem on a DNA-based computer
Authors: WengLong Chang Kawuu Weicheng Lin JuChin Chen ChihChiang Wang Lai Chin Lu Minyi Guo Michael ShanHui Ho
Abstract: The RSA public-key cryptosystem is an algorithm that converts a plain-text to its corresponding cipher-text, and then converts the cipher-text back into itscorresponding plain-text. In this article, we propose five DNA-based algorithms-parallel adder, parallel subtractor, parallel multiplier, parallel comparator, and parallelmodular arithmetic-that construct molecular solutions for any (plain-text, cipher-text) pair for the RSA public-key cryptosystem.
Publish Year: 2012
Published in: The Journal of Supercomputing - Springer
موضوع: رمزنگاری کلید عمومی (Public Key Cryptography)، محاسبات کوانتوم (Quantum Computing)
ایران سای – مرجع علمی فنی مهندسی
حامی دانش بومی ایرانیان
