Search from the Journals, Articles, and Headings
Advanced Search (Beta)
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...

شہدائے سکرنڈ

شہدائے سکرنڈ

چیئر مین بلاول بھٹو زردار ی کا ایم آ ر ڈی کے دوران سکرنڈ میں شہید ہو نے والے 16کارکنا ن کی برسی پر پیغام ۔

پی پی چیئر مین نے سانحہ سکرنڈ کی 38ویں برسی پر شہدا کو خراج عقیدت پیش کیا ۔ایم آر ڈی کے دوران پی پی کی قیادت اور کا رکنا ن کی جد وجہد اور قربانیاں ہماری تاریخ کا ناقابل فراموش باب ہے )بلا ول بھٹو زردار ی(۔تحریک آزادی پاکستان کے بعد ایم آرڈی اس ملک کی سب سے بڑی مشکل جد وجہد تھی جس کی قیادت شہید محترمہ بے نظیر بھٹو نے کی (بلاول بھٹو زرداری )۔جنرل ضیاء الحق کے دورِ آمریت میں آج کے دن 16جیالوں کو تحصیل سکرنڈ کے گائوں پنھل چانڈیو میں شہید کیا گیا تھا (بلاول بھٹو زرداری )۔شہید ٹھارو چانڈیو ،شہید رجب علی چانڈیو اور شہید پیر بخش چانڈ یو کو سلام (بلاول بھٹو زرداری)۔شہید عرس چانڈیو ،شہید صدیق چانڈیو شہید گلاب چانڈیو شہید ہاشم خاصخیلی ،شہید جانب خاصخیلی اور شہید میرو خاصخیلی کو سلام (بلاول بھٹوزرداری )۔شہید علی گل خاصخیلی ،شہید محمد رمضان خاصخیلی ،شہید محبوب علی سولنگی ،شہیدا ﷲرکھیوسولنگی اور شہید حسین بخش منگھار کو بھی سلام (بلاول بھٹو زرداری )۔شہدائے سانحہ سکرنڈ کے لواحقین کو بھی سلام پیش کر تا ہوں جنہوں نے جمہوریت کی خاطر اپنے پیاروں کی قربانی کو صبر وٹحمل سے برداشت کیا (بلاول بھٹو زرداری )۔شہدائے سانحہ سکرنڈ کے لواحقین کا صبر عزم اور حوصلہ جیالوں کا خاصہ ہے(بلاول بھٹو زرداری )۔پاکستان پیپلز پارٹی اپنے شہدا کی قربانیاں رائیگاں نہیں جا نے دے گی (بلاول بھٹو زرداری )۔شہید بھٹو اور شہید محترمہ بے نظیر بھٹو کے مشن کو پایہ تکمیل پر پہنچائیں گے ۔پاکستان میں جمہوریت کو ناقابلِ تسخیر بنا ئیں گے (بلاول بھٹو زرداری )۔

 

External and Internal Factors of Political-Religious Violence and Pakistan’s Role: Unravel Threats for the Security of Modern Islamic State

Political scientists and Islamic philosophers have long been discussing the different phenomena of violence. This article analyzes external and internal factor of violence in Pakistan, interpreting the religious and political dimension of the violence. The presence of external and more specifically internal factors are the real threats for the security of the country. Building from theoretical approaches, I fielded two dimensions of the political-religious violence, violence inside the country and outside the country. It is found out, on the one hand, that the both dimensions can be met with the profound enforcement of the law. On the other hand, both dimensions of the violence can be the big contributory factors of violence due to the poor promulgation of the law. Unjust political-religious dispensation inside the country rise the frustration, and outside support make it fertile and leads it towards violence. It is proposed that on equity bases, political-religious deprivation and absolute deprivation of the minority elite class can be disposed of. I also come up with balanced educational system, which should be the blend of traditionalism and modernism for the fulfilment of our spiritual dimension and for the greater understanding of our political-religious outlook.

Performance Enhancement of Subspace Learning Face Recognition by Effective Use of Classifiers

Subspace based algorithms belong to one of the most explored face recognition algorithm categories which follow a holistic approach for feature extraction. These methods operate directly on the pixel intensities of a facial image and extract features. The basic trait of these algorithms is that they reduce dimensionality to reduce the computational complexity of feature extraction while keeping the statistical separation between different classes. Therefore these algorithms are the economical choice for feature extraction. These algorithms are based on the key concept that most of the information in a facial image is highly redundant and that the discriminating features reside in a subspace of the face image. Therefore these algorithms aim to extract these features by reducing the redundant and non-discriminating information. The choice of a classifier is the key factor in designing an efficient pattern classification system. This choice very closely relates to the data on which it is going to be applied. Another important issue is the irrelevancy in reported results of different classifiers. The evaluation criterion which is set for evaluating a specific classifier plays a significant role in determining the true potential of a proposed classifier. There is a need to evaluate these reported classifiers using the same evaluation criterion to judge the suitability of each classifier for a specific imaging condition. For face recognition, a surfeit of classifiers has been proposed to date but none of them alone is capable enough to cater with all the inherent variations of the facial image data. Therefore there is a need to explore combinations of classifiers known as ensemble classifiers. As different classifiers extract complementary features of the object to be classified, therefore combining the properties of individual classifiers in an ensemble classifier does result in increased classification accuracy. The overall suitability of this ensemble classifier depends on the memory and computational complexities of the constituent base classifiers. VI In this thesis, a newly reported and highly cited face recognition algorithm Laplacianfaces is initially explored for its true potential by varying its internal and external parameters for different face recognition tasks. Based on the outcome of this initial analysis, other famous subspace face recognition algorithms are also evaluated by using distance metrics both from the image space and mahalanobis space. This evaluation was performed by using the evaluation methodology employed in Face Recognition Vendor Tests (FRVT) and FERET evaluations. These algorithms are evaluated against various probe sets from three different and famous facial databases namely FERET, ORL and YALE. This study hence provides enough testing variables to judge the performance of algorithms against different imaging conditions or facial variations. Based on this exhaustive comparative analysis, a group of six most accurate and most economical classifiers are selected. Ensemble classifiers with combinations ranging from two to six of these best selected base classifiers are evaluated against the same testing conditions. The ensemble classifiers are constructed by combining base classifiers using two simple ensembling techniques namely re-ranking and weighted scoring approach. The average performance of this ensemble classifier also called unified classifier is found to be well ahead of that for the individual constituent base classifiers. The work reported in this study proves the effectiveness of ensemble classifiers for face recognition tasks. The results of the proposed unified classifier in comparison to the best performing subspace algorithms demonstrate that the unified classifier has a global performance and can handle different variations effectively.
Asian Research Index Whatsapp Chanel
Asian Research Index Whatsapp Chanel

Join our Whatsapp Channel to get regular updates.