سیرت طیبہ ﷺ کی روشنی میں تصور فلاح و بہبود

Islam is the religion of welfare. It emphasizes on accomplishing the rights of human beings concurrently the rights of Allah. Similarly, the government and the member of society jolted regarding this collectively. And everyone is stimulated concerning his responsibilities and adjudges the followers just like one body. Islamic community is just like a cooperative society. It is a duty of everybody to assist the deprived not only financially but also ethically. Until, to meet affably is declared charity. The leader of Islamic state is the responsible for the welfare of everybody. Rather he is bound to feed every being. That is why Haḍrat ʻUmar said that he is liable in the Day of Judgment if a dog is died due to starvation in his regime. In the research paper, the concept of welfare has been manifested in the light of Sīrat-al-Nabī. The method adopted for the research is qualitative as well as descriptive. The Holy prophet urged the believers of Islam on mutual assistance in adverse times. In disaster situations, the responsibilities of every Muslim increase and he should devote his intention tooth, nail and body to rescue.

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.