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سیاسی اسیران

سیاسی اسیران

نومبر 88کا الیکشن ہماری رہائی کی نوید لے کر آ یا تھا۔دسمبر 1988ء کو محترمہ بے نظیر بھٹو کے حکم پر جیل کوٹ لکھپت 8سال بعد رہا ہو نے والے سیاسی اسیران اور شاہی قلعہ کے وہ سیل جہاں سیاسی قیدیوں کو رکھا جا تا تھا تصاویر کے لیے میرے ساتھ محمد صابر کا شکریہ …ان میں سے چار دوست میاں جہانگیر ایڈووکیٹ ،اسلم لدھیانوی ،امجد حسین ،راوی اشفاق علی ،امجد حسین ،رائو اشفاق علی اب دنیا میں نہیں رہے ۔

 

برصغیر میں اصول تفسیر کے مناہج و دبستان اور نمائندہ شخصیات کی علمی تراث کا تجزیاتی مطالعہ

The Quranic sciences of interpretations and principles of interpretations were originated in the epoch of holy prophet (saw) but compilation of both were started later. This is called principles of interpretations, which is the basic and important part of Islamic studies. Islamic scholars, commentators and explicators explained the holy Quran in the light of principles of interpretations. These are such basic principles those are guide lines for them so they will not deviate or drop the right way while interpreting and explaining the holy verses. These principles are laid down and followed by them so that they may find the will of Allah and actual meaning of holy Quran. A little difference in principles causes a huge difference in interpretation. Different methodology in principles resulted in many schools of thought. This article focusses on examining these schools of thought found in sub-continent and introduce their main books. This article deals with chronological evolution of said knowledge i.e. Principles of interpretations, and Quranic sciences specially originated by the famous principalities and interpreters of sub-continent.

Cloud Evolution Management Using Intelligent Cloud Ecosystem Ice

This research is primarily focused on cloud computing and the spread of this technology with an enormous speed, which is sufficient to explain the need and desirability of this technology, on the other hand, same distinction is also the main challenge i.e. unplanned growth of cloud computing and relevant technologies. In past we have seen the same issues with world wide web, in which we have expanded to such levels that a proper governance and maintenance became near to impossible. Rapidly expanding cloud technology with conventional and emerging services is a source of generating huge volumes of data that requires to be addressed for analytics and simply for suitable storage structure. Big data and IoT are two emerging challenges linked to cloud computing and these two areas are research focus of many scientists. In this research we have proposed an Intelligent Cloud Ecosystem (ICE) which is a blend of cloud technology along with artificial intelligence and cognitive science. We believe that an autonomous and self-evolving intelligent environment is the solution to emerging problems related to cloud technologies. To address the issues of Big data and IoT, our proposed model ICE is having the ability to analyze the heterogeneity and homogeneity knowledge structures wherein, machine learning and artificial neural networks have been proposed for semantic, property and feature analysis. Validation of the proposed model ICE is being done through algorithm development as well as by simulating the model in MATLAB. Results have shown the positive inclination towards ecosystem relevance with overall performance and interoperability i.e. these two parameters play a significant role in the sustenance of the intelligent ecosystem, while third parameter is dynamic which may change as per the requirement e.g. reliability, security, cost etc. This research concludes that cloud technology will work better in a comprehensive cloud ecosystem with better management and service parameters for users as well as for cloud service providers, also the issues of Big data and IoT are more manageable and observable in a cloud ecosystem.
Asian Research Index Whatsapp Chanel
Asian Research Index Whatsapp Chanel

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