There are two approaches for simulating memory as well as learning in artificial intelligence; the functionalistic approach and the cognitive approach. The necessary condition to put the second approach into account is to provide a model of brain activity that contains a quite good congruence with observational facts such as mistakes and forgotten experiences. Given that human memory has a solid core that includes the components of our identity, our family and our hometown, the major and determinative events of our lives, and the countless repeated and accepted facts of our culture, the more we go to the peripheral spots the data becomes flimsier and more easily exposed to oblivion. It was essential to propose a model in which the topographical differences are quite distinguishable. In our proposed model, we have translated this topographical situation into quantities, which are attributed to the nodes. The result is an edge-weighted graph with mass-based values on the nodes which demonstrates the importance of each atomic proposition, as a truth, for an intelligent being. Furthermore, it dynamically develops and modifies, and in successive phases, it changes the mass of the nodes and weight of the edges depending on gathered inputs from the environment.

فرض کنیم یک فضای توپولوژیک باشد. گراف اشتراکی روی فضای توپولوژیک، که با نمایش داده می شود، یک گراف غیرجهت دار است که مجموعه رأس های آن، زیرمجموعه های باز هستند و دو رأس به هم وصل می باشند، اگر اشتراک آنها ناتهی باشد. در این مقاله روابط بین ویژگی های توپولوژیکی و ویژگی های گرافی بررسی شده است. همچنین برخی رده بندی ها و نمایش هایی برای گراف بیان شده است و در نهایت مطالعه ای بر روی احاطه گری آن صورت گرفته است.

در تجزیه و تحلیل مسابقات فوتبال، تعیین دقیق موقعیت بازیکنها از موارد کلیدی است که اساس آنالیزهای بعدی نظیر ردیابی بازیکنها قرار می گیرد. استخراج مسیر بازیکنها، اطلاعات مفیدی جهت ارزیابی نقاط قوت و ضعف تیم و بازیکنها و تنظیم استراتژی تیمی کارا به منظور بهبود عملکرد تیم در اختیار سرمربی و متخصصین قرار می دهد. از آنجا که با حرکت دوربین، بیننده فریم های قبلی را از دست می دهد، با مرتبط سازی تصاویر به هم و تعیین مسیر بازیکنها روی موزاییک تصویری ایجاد شده می توان مسیر پیوسته بازیکنها را برای بیننده به تصویر کشید. هدف اصلی این مقاله، انتقال موقعیت بازیکنها به فضای مدل زمین و استخراج همزمان مسیر حرکت تمام بازیکنها در فضای تصویر و مدل زمین است. برای این منظور، موقعیت بازیکنها با دو روش مدل گوسی ترکیبی و آدابوست استخراج شده و بعد از حذف نواحی اضافی نظیر دروازه و خطوط، جداسازی بازیکنهای همپوشان، تعیین تیم بازیکنها و انتقال موقعیت ها به سیستم مختصات مشترک، ردیابی در دو فضای تصویر و مدل واقعی زمین انجام می شود. در نهایت، دقت دو روش آدابوست و مدل گوسی ترکیبی در تعیین موقعیت بازیکنها روی 78 فریم از 6 ویدئوی مختلف و دقت ردیابی ارزیابی و مقایسه می شود.

Inertial Navigation System (INS) is one of the navigation systems widely used in various land-based, aerial, and marine applications. Among all types of INS, Microelectromechanical System (MEMS)-based INS can be widely utilized, owing to their low cost, lightweight, and small size. However, due to the manufacturing technology, MEMS-based INS suffers from deterministic and stochastic errors, which increase positioning errors over time. In this paper, a new effective noise reduction method is proposed that can provide more accurate outputs of MEMS-based inertial sensors. The intelligent method in this paper is a combined denoising method that combines Wavelet Transform (WT), Permutation Entropy (PE), Support Vector Regression (SVR), and Genetic Algorithm (GA). Firstly, WT is employed to obtain a time-frequency representation of raw data. Secondly, a four-element feature vector is formed. These four features are (1) amplitude of frequency, (2) its ratio to mean of amplitudes of all frequencies, (3) location of frequency in time-frequency representation, and (4) judgment on behaviors of frequency that is obtained by utilizing PE. Thirdly, based on the feature vector, the GA-SVR algorithm predicts amplitudes of all frequencies in the time-frequency representation of the denoised signal. Finally, by employing inverse WT the denoised signal is obtained. In this work, the outputs of the Inertial Measurement Unit (IMU) in ADIS16407 sensor, as a low-cost and MEMS-based INS, have been utilized for data collection. The proposed method has been compared with other noise reduction methods and the achieved results verify superior improvement than other methods.

In some point of view, neither Michel Foucault nor Ibn Khaldun are considered philosophers in the conventional classifications, but both are very  important in intellectual and, of course, in philosophical contexts, especially for those who are interested in the deep study of human life from the perspective of political thought.The main concern of two thinkers, one in the 14th century, the other in the 20th century, is the issue  of power, although neither of them provided a precise definition of it. In this article, an attempt has been made to show the place of power and domination in the political thought of both thinkers by examining the thoughts of two thinkers. And in search of an answer to this question, how did Asabiyyah and industry of religion in Ibn Khaldun's thought and social control through self-technology and discipline in Foucault's thought lead to the expansion of the domination of power? This article is written by analytically comparing the opinions of two thinkers based on Ibn Khaldun's most important book called Muqaddimah and Foucault's late works