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راز کیسے ہیں کہ جو دل پہ عیاں ہوتے ہیں
راز کیسے ہیں کہ جو دل پہ عیاں ہوتے ہیں
نعت لکھتا ہوں تو پھر اشک رواں ہوتے ہیں
گنگ لفظوں کی قطاریں سی لگی رہتی ہیں
جذبے آنکھوں کی وساطت سے بیاں ہوتے ہیں
کعبۂ جاں میں تواتر سے صدا گونجتی ہے
یوں بلالِ حبشیؓ محوِ اذاں ہوتے ہیں
کارِ دُنیا میں اُلجھنے سے یہ احساس ہوا
ذکِر طیبہ کے بنا لمحے گراں ہوتے ہیں
باریابی کا شرف ملتا ہے درویشوں کو
اُنؐ کی چوکھٹ پہ کھڑے کتنے شہاں ہوتے ہیں
اپنی جانوں سے ہے ناموسِ رسالتؐ بڑھ کر
اُنؐ پہ قربان سبھی خرد و کلاں ہوتے ہیں
ہم گنہگار سہی آپؐ کی اُمت میں ہیں
بات ایسی ہے کہ ایسے بھی کہاں ہوتے ہیں
Computing of Personality Interference in Muslim World
With the rise of Computer Science and the Internet, in particular, the Muslim world has shifted its dynamics on an industrial scale. Whether its alternative interpretations of Islam or questions about it, the Internet has been as all new medium to reach the masses. On the other hand, social intelligence has always been considered vital for understanding and managing soft-biometric traits of a person we are communicating. So what actually is social intelligence? Although it has always been a mystery to understand how humans interact with each other and explore the world in a global era. Learning ability, perceiving ability and adaptation to a new environment are usually linked with intelligence. The ongoing research in cognitive science has increased our understanding of intelligence. According to research, it has been clarified that it is not one or two factors that are responsible for intelligence but rather there is a range of abilities to determine social intelligence.Proactive Strategies to Improve Link Stability under Topology Changes in Mobile Adhoc Networks
Improving link stability under topological changes arise due to link/node failures under uniform speeds and random trajectories of mobile nodes, is a significant problem that must be addressed to improve routing performance in mobile adhoc networks (MANETs). Under random characteristics of wireless channels, there must be a unified model based on proactive strategies to improve link stability under topological changes for stable and robust communications among neighboring nodes. This thesis addresses the problem of link stability under topological changes by presenting proactive strategies for faster failure detection, robustly maintaining link stability, effective link stability estimation, and efficient traffic estimation. First, a novel faster failure detection (FFD) strategy is proposed for link re-connectivity under link/node failures using a Hello messaging scheme. FFD is modeled through a Continuous Time Markov Chain (CTMC) based approach to proactively detect link/node failures under topological changes in MANETs. The FFD strategy minimizes delay incurred as a result of link re-connectivity, optimizes adjacency establishments among neighboring nodes, and enables energy efficiency to improve network connectivity. Second, a novel dynamic link connectivity (DLC) strategy for maintaining link stability among neighboring nodes. DLC is modeled through CTMC by taking into account continuous time analysis of dynamic link connectivity and stationary probability distribution between neighboring node pairs. The DLC strategy examines stability of network nodes and calculates probabilities of connection and disconnection states on the basis of transition rate estimation between these states. The DLC strategy robustly maintains link connectivity for future communications among neighboring nodes inside a cluster. Third, novel link connectivity metrics (LCM) and path distribution analysis (PDA) strategies are presented for effective link stability estimation in MANETs. LCM and PDA are modeled using CTMC under random movement of network nodes and topology trigxxii gered path duration statistics as a function of effective link stability estimation. The LCM and PDA strategies collectively enhance robustness and stability of a network by making it less prone to connectivity failures for future communications among network nodes. Finally, the fourth contribution is a novel efficient traffic estimation (ETE) strategy using Hello messaging among neighboring nodes inside a cluster. ETE is modeled through periodic exchange of transmitted Hello messages under local link connectivity between neighboring node pairs, which follows a CTMC model. The ETE strategy estimates optimum Hello messages traffic through local link connectivity. Simulation and analytical results demonstrate that the proposed strategies improve link stability under topological changes and can be deployed as effective tools for maximizing routing performance in MANETs.Journals by Discipline
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