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Article
Fast Neural Synchronization Using Geometrical Analysis for Random Walk in Search Space

Authors: Naji M. Sahib --- Haithem Kareem Abass
Journal: Iraqi Journal of Information Technology المجلة العراقية لتكنولوجيا المعلومات ISSN: 19948638/26640600 Year: 2014 Volume: 6 Issue: 1 اللغة الانكليزية Pages: 69-79
Publisher: iraqi association of information الجمعية العراقية لتكنولوجيا المعلومات

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Abstract

Neural synchronization is a phenomenon of mutual learning between two or more neural networks. This phenomenon has tremendous applications especially in cryptography where it can be efficiently used in key exchange over public and un secure networks. This biggest problem facing neural synchronization is the number of rounds needed to accomplish the synchronization; where the output of each neural is sent to other party over network. Since the synchronization is a stochastic behavior then it could be established anytime along the synchronization session, but no current approach to verify establishing the synchronization once it happened. This paper has deployed geometric analysis to investigate random walk of weights in plane during the synchronization session, the outcome is an enhancement of the convergence of neural networks to synchronization points and another outcome is the verification of establishment the synchronization which is the focus of this paper.

التزامن في الشبكة العصبية هو ظاهرة التعلم المتبادل بين شبكتين عصبيتين او اكثر. هذه الظاهرة لها تطبيقات كثيرة وخاصة في التشفير حيث يمكن استخدامها بشكل كفوء جدا في عملية تبادل المفاتيح عبر شبكة عامة غير امينة. ان المشكلة الاكبر التي تواجه ظاهرة التزامن هي عدد الدورات اللازمة لتحقيق التزامن حيث ان مخرج كل شبكة يرسل الى الشبكة المقابلة في الدورة الواحدة وعبر الشبكة. وبما ان عملية التزامن لها تصرف عشوائي فان التزامن قد يحدث في اي وقت خلال جلسة التزامن ولكن لا توجد اي طريقة حالية للتحقق من حصول التزامن ساعة حدوثه. هذا البحث قام بتوظيف التحليل الهندسي لدراسة السير العشوائي للاوزان في مستوي خلال عملية التزامن والنتيجة كانت الوصول الى طريقة تعجل الوصول الى حالة الاتزان اولا وكذلك امكانية التحقق من وصول حالة التزامن.


Article
The Geometrical Analysis Accuracy for Parallel Robotic Mechanisms

Author: Hassan M. Alwan
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2011 Volume: 29 Issue: 15 Pages: 3118-3129
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

The geometrical analysis of the robotic mechanisms means the formulation of the position equation of the mechanism in terms of dependent and independent coordinates. This function should describe the position of its links and the end effecter (or moving platform center) in terms of dependent and independent coordinates.In this paper will be derived a mathematical model, that is, a model in terms ofdependent and independent generalized coordinates, for the position accuracy of the end effecter (platform) of the closed kinematics robotic mechanisms. In these types of mechanisms it is necessary to solve the inverse problem of the geometrical analysis. Thesolving of the inverse problem in the robotic systems means the definition of independent coordinates on preset values and evaluation of the dependent coordinates with several degrees of mobility.The aim of this paper is to obtain a new mathematical formulation for evaluation of the deviation of the end effecter position due to the deviation of the independent coordinates. It will be evaluated only the deformations of the arms caused by the weights and the forces.

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