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سعید الحق دیسنوی

سعید الحق دیسنوی
حضرت سید صاحب رحمۃ اﷲ علیہ کے ایک لائق عزیز سعیدالحق دیسنوی پاکستان ریڈیو میں ایک بڑے عہدہ پر ممتاز تھے، ان کو حضرت سید صاحب سے قلبی لگاؤ تھا، انھوں نے ان پر انگریزی اخبارات و رسائل میں کئی مضمون لکھے، ان کی مشہور تصنیف خطبات مدراس کا انگریزی میں ترجمہ کیا، جو شائع ہوچکا ہے، ان کی دوسری تصنیف عرب و ہند کے تعلقات کا بھی ترجمہ کیا جو بالاقساط اسلامک کلچر حیدرآباد میں شائع ہوا، مشرقی پاکستان کی سلیمان اکیڈمی کے بھی بانیوں میں تھے، افسوس ہے کہ گزشتہ مہینہ ان کا انتقال ہوگیا اور ان کی ذہانت اور صلاحیت سے جو امیدیں تھیں وہ پوری نہ ہوسکیں، ان کی کل عمر اٹھاون سال تھی، اﷲ تعالیٰ ان کی مغفرت فرمائے۔ (شاہ معین الدین ندوی، اپریل ۱۹۶۸ء)

 

Empowering Muslim Youth Through Developing Argumentation Skills

The progress of nations lies in the hands of educated youth. Presently, our Muslims youth are facing numerous challenges. This include western propaganda against Islam as a threat to peace, moral degradation, lacking spirit of inquiry, internet addiction, blind following of western norms and cultures and various kinds of social problems such as violence, gambling and pornography. Our Muslim youth is wandering in identity crises and have forgotten the true spirit of Islam and the achievements of our forefathers. Majority of youth are copying and adopting the western style of life and cultural involvement. One reason for this may be the education system that we have inherited from the colonial masters. This is also replicated by electronic media and the Western propaganda against Islam that we don’t take pride to be staunch Muslims otherwise; we will be blamed as extremists. Our education system has also failed in instilling the spirit of inquiry, critical thinking and moral judgment in our youth. In order to develop the potential of our youth to reform our society and not to be led by baseless beliefs, the role of teaching is very important. With this goal in mind, the students should be empowered through argumentation skills. This requires teaching students through argumentation method by involving/guiding students to make a claim then write justification for their claim and finally counter argument to support their claim. The essence of argumentation is not new as the Holy Qur’ān repeatedly stressed the believers to use their intellect, to critically observe their surroundings and avoid baseless information. Practice with argumentation will help in developing critical skills in our youth and in making informed decisions. They would not blindly follow western norms and would be able to answer western propaganda through solid arguments and valid justifications.

Efficient Facial Expression Classification Using Machine Learning Techniques

The Non-verbal communication plays a pivotal role in daily life and contributes around 55% to 93 % in overall communications. Facial expression is a type of non-verbal communication and its contribution towards recognition is around 55%. It exhibits the physical intention, behavior, personality and mental state of a person. Facial expression analysis can be effectively used in video surveillance, emotion analysis, smart homes, gesture recognition, patient monitoring, treatment of depression and anxiety, lie detection, automated tutoring, psychiatry, paralinguistic communication, robotics, operator fatigue detection and computer games. Highly accurate solution is a major challenge in the development of Efficient FER system. Data collected using poor quality cameras and/or captured from distance suffer from low resolution problem. Region of interest is usually smaller than original image size and image collected in real world environment suffer from low resolution problem. It results in drastic decrease in classification accuracy of the facial expression recognition. Environmental and source light variations during image acquisition results in poor illumination which is also major cause of performance degradation. Furthermore, curse of dimensionality poses another challenge in the development of fast and accurate techniques. With the increasing demand of surveillance camera-based applications, the Very Low Resolution(VLR) problem happens in many FER application systems. Existing FER recognition algorithms are unable to give satisfactory performance on the VLR face image. In addition to VLR, Variable lighting conditions in uncontrolled environment is another factor which can cause unpredictable illumination affects that leads to poor FER performance. Furthermore, feature vector containing correlated and irrelevant information also causes performance degradation. In this dissertation problems mentioned above related to facial expression recognition have been addressed. A novel framework has been proposed to handle high and low resolution images with equal capability. Excitation component of Weber local descriptor (WLD) is employed to compute the salient features and DWT has been utilized for features extraction which resolves multi-resolution problem. Least number of features having high variances is used to perform classification. Experimental results have shown that this framework not only handle low resolution problem but also gives improved classification performance both in terms of complexity (i.e., number of features) and recognition accuracy as compare to existing techniques present in the literature using CK+, MMI and JAFFE data sets. Secondly, facial expression recognition being a multi-class classification problem is a challenging task and becomes more complicated in real world environment with data having variation in illumination conditions. In order to tackle this problem, illumination invariant technique has been developed based on HOG features. These HOG based illumination invariant features are further reduced using DCT. These highly significant features are passed to the classifiers for accurate facial expression recognition. Proposed frameworks can effectively handle illumination variance and very low resolution data during facial expression recognition. Detail experimentation have been conducted using well known standard datasets containing images with varying illumination, resolution, gender and ethnicity. Comparison of the system has been presented with other state-of-art techniques using CK+, MMI and Cross datasets. Comprehensive experimentation shows that the proposed technique produces significantly better results than existing state-of-the-art techniques present in the related work.
Asian Research Index Whatsapp Chanel
Asian Research Index Whatsapp Chanel

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