البعد الأخلاقي في سياسة الرسول صلى الله عليه وسلم

The Arab’s tribes were diverse and were scattered all over Arabia. They were alien to any system, were unfamiliar of any rules and regulations. When the prophet PBUH came to them, He gently handled them, made them lenient, gathered them at the one true platform and eventually he was succeeded in uplifting them into the bondage of brotherhood. He guided them towards the political structure so that they can live under its shadow and follow its rules and regulations. He trained amongst them Preachers, judges, leaders and politicians. He sent his messengers to all the rulers of the worlds. These messengers were able to shake the Persians and Roman thrones which were considered the greatest empires of that time. They all got united against this newly arising force which later brought the greatest revolution in the history of humankind. The solutions presented by the Prophet PBUH while confronting the challenges in spreading his message,  enjoy the political wit, which is considered far better than the wit of political scholars and political tycoons. His ability of prior reading of the incidents, uncovers his huge potential in his prior dealing of the matters and suggesting its solutions and substitutes. His policies played a vital role in establishing the prior relations with Njashi, and later to facilitate the Muslims during their first immigration towards Abyssinia from the cruelty of the idolaters. Moreover, He chose the best time for the Treaty of Hudaybiyyah and Conquest of Mecca. He chose among his companions the one who knew the International languages and sent them as his Ambassadors to the rulers and tribal chiefs along with his written or verbal messages. He addressed the each with the method appropriate to him and suited him the best. He made best use of alliance, as he alienated the Arab tribes, from Jews and the others. In this way he was able to take a huge time to concentrate on those nations and was able to make a lot of allies. In his internal policy matters, he always tried to solve his problems, developing the society and to sabotage the malicious intentions which were planned by hypocrites, who were considered as his most dangerous enemies. His policy towards them was to admit apparently and leaving their unrevealed intentions to ALLAH. He treated them well, because he was anxious on preserving the freedom of all and the unity among his companions. When their malicious intentions started turning to become a threat to the security of Islam and started harming the interests of the society, He had not reply them strongly and dissuasively. He demolished the Mosque through which they were planning to harm the Muslim community. Moreover, he drew a line to their plans of aggression without harming anyone. He was very witty in his policies through which he was able to defeat them in the end. In this way he was able to change the course of the whole history on mankind. In this research we will try to deal with his moral wit which is considered the main characteristic of his policy.

Efficient Music Fingerprinting for Music Speech Segregation

Since decade, a lot of music fingerprinting and speech segregation algorithms have exhaled. Music speech segregation includes music identification and followed by speech segregation. This becomes challenging in the presences of the noisy environment and noisy sample case. A rapid development has taken place in the field of multimedia content analysis. Music information retrieval applications increased the emphases on the development of music fingerprinting algorithms. Noise affects the efficiency and accuracy of the audio information retrieval algorithms. This research thesis presents a deep analysis of music fingerprinting and speech segregation algorithms. A novel algorithm is presented for music fingerprinting which is used for efficient speech segregation in which music fingerprinting is performed over a noisy audio sample. This research work proposes a system that performs music fingerprinting in-depth evolving the speech segregation processes in presence of background noise. Noise is removed from the audio signal using layered separation model of the recurrent neural network. Music fingerprinting is performed on the basis of pitch based acoustic features classified using distributed dictionary based features learning model. The classified music is processed for speech segregation after noise removal using layered separation model. Speech is segregated using vocal based acoustic features. Features are classified using improved dictionary based fisher algorithm. Structured based classes are used for the classification process. The systematic evaluation of the proposed system for music fingerprinting and speech segregation produces competitive results for three datasets (i.e. TIMIT, MIR-1K, and MusicBrainz), and the results indicate the strength of the proposed system. The proposed system produces significantly better results when the qualitative and quantitative analysis is carried out over the standard datasets showing the better efficiency of our proposed system from the past systems.