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باراں ماہ ہک بیت وچ
باراں ماہ
(باراں ماہ ہک بیت وچ)
چیتر چائ، وساکھ نوں وس کوئی نہ، جیٹھ جان ہاری وچ ہاڑیاں دے
ہڑاں ہاڑ آئیاں، ساون سانجھ کوئی نہ، بھادوں بھاہ ہوئے ہجر ساڑیاں دے
اسوج آس مکی، کتیں کار بھلے، مگھر ماری گئی وچ پواڑیاں دے
پوہ پیش آئیاں ماگھ مصیبتاں نی، پھگن پھٹ حنیف کوہاڑیاں دے
خواجہ محمد خلیل رحمۃ اللہ علیہ حیات، علمی، ادبی و تصنیفی خدمات
Khuwaja Muhammad Khalil Khan (R.A) was born in 1920 A.D In Aligarh and completed his Islamic Education under Syed Amjad Ali Azmi, he was among of the prominent contemporary in the Literarily History of Subcontinent. His masterly work as reformer in the major fields of Islamic Sciences show his profound approach to them. He wrote on jurisprudence, Commentary on Hadith, Doctrines, and on societal problems. Of which few books are prescribed for syllabus at national and international seminaries. He led the foundation of AHSAN UL BARKAT in Hyderabad which is spring of scholars. His areas of studies comprises on different fields of Islamic Studies. His remarkable work on the particular fields also reflects his deep study on it. The aim of this paper is to produce before muslim ummah the unparalleled services of this great Hanafi scholar of Sindh; Khuwaja Muhammad Khalil Khan (RA) not only proved himself as a distinguished jurist, but also regarded as an authority by the scholars of the Pak o Hind, who used to refer him for the solution of religious problems.Urban Planning Using Big Data Analytics Based Internet of Things
The recent expansion in the field of Internet of Things (IoT) and Big Data is providing a large production potential in the course of the new era of smart urban. The IoT infrastructure for the design of smart urban consists of devices, objects, sensors and citizens producing huge gigantic data (i.e. Big Data). IoT-based smart urban environment provides the digital traces of human and objects that can be analyzed. The major aim of smart urban is to efficiently utilize the data to administer and resolve the issuesconfront by recent smart cities regarding data processing.This study presents Hadoop-based Big Data analytics architecture to address the challenges in data generated in IoT environment. The proposed architecture is based on customization of Hadoop architecture and external entities to efficiently process Big Data generated in IoT environment. The proposed scheme is comprised of Big Data loading into Hadoop and Big Data processing. The existing solutions provide manual and serial data injection into Hadoop. Moreover, the existing solutions do not tackle the communication overhead efficiently that affects the processing. Data loading and storing is performed by proposing parallel and utility-oriented solution based on multiple attributes. Unlike traditional MapReduce architecture, customized YARN-based cluster management solution is provided to manage the cluster resourcesefficiently and process the data using Map-Reduce algorithm separately. The proposed architecture is tested with a variety of reliable datasets using Hadoop framework. The comparison of proposed architecture with existing solutions and default architecture of Hadoop is provided to verify and reveal that the proposed architecture is more efficient then existing smart urban architecture using Big Data analytics for processing data produced in IoT-environment.Journals by Discipline
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