آہ جناب امیر احمد صدیقی
یہ خبر بھی بڑے افسوس کے ساتھ سنی جائے گی کہ ۲۳؍ مارچ کو مشہور ادبی ماہ نامہ ’’نیادور‘‘ لکھنو کے سابق مدیر جناب امیر احمد صدیقی نشاط گنج میں اپنی رہایش گاہ پر وفات پاگئے، ان کا آبائی وطن لکھنو کے مضافات میں اجریاوں تھا، وہیں تدفین ہوئی، ان کی عمر ۸۲ سال تھی۔
وہ ۱۹۴۸ء میں محکمہ اطلاعات و رابطہ عامہ اترپردیش سے اس وقت منسلک ہوئے تھے جب جناب علی جواد زیدی، صباح الدین عمر، فرحت اﷲ انصاری اور خورشید احمد صاحب اس سے وابستہ تھے، اب اس دور کی تنہا یہی یاد گار رہ گئے تھے، آخر وہ بھی چل بسے۔
مرحوم مختلف وقتوں میں محکمہ اطلاعات میں افسر اطلاعات، فیچر رایٹر، جوائنٹ اڈیٹر، اڈیٹر نیا دور اور اسسٹنٹ ڈائرکٹر اردو رہے اور اپنے رفقائے کار میں تنہا ان ہی کو ملازمت میں ڈھائی سال کی توسیع ملی تھی:
نیا دور ہی کے وسیلے سے ان سے میرے تعلقات کی ابتدا ہوئی، میں نے جب اس میں مضامین لکھنا شروع کیا تو اس وقت یہ اس کے جوائنٹ اور خورشید احمد صاحب چیف اڈیٹر تھے، مضامین کی وصولی کی رسید اکثر ان ہی کی جانب سے آتی تھی اور جب یہ اڈیٹر ہوئے تو برابر خط و کتابت رہتی اور فرمایش کرکے مضامین طلب کرتے تھے، امیر احمد صاحب کے دور ادارت کا اصلی امتیاز نیا دور کے خاص نمبر ہیں جو بڑی تعداد میں نکلے اور بہت مقبول ہوئے، کئی خاص نمبروں میں ان ہی کے اصرار کی وجہ سے میں نے مضامین لکھے۔
کسی تقریب یا اردو اکیڈمی کے سمیناروں میں جاتا اور وہ موجود ہوتے تو بڑے تپاک سے ملتے، اپنے گھر بھی مدعو کرتے، ان کو معلوم ہوجاتا کہ میں آیا ہوں تو میری قیام گاہ کا پتہ لگا کر فون کرتے اور...
This study critically examines the scientific, logical and civilizational aspects of the challenge of atheism and proposes how to combat this problem in the light of Islamic teachings. Twentieth century is peculiar in promoting atheism, agnosticism and skepticism. Contemporary modern scientific approach has also contributed towards the negation of the existence of God. Although our universe provokes our thoughts for the exploration of the ultimate reality yet most of us take it for granted and do not stare and care. Atheism is rapidly expanding trend in universities. Pakistani universities are not exception to it. This paper explains the scientific, logical, psychological, intuitive and spiritual arguments for the existence of God in the light of Islamic teachings.
This dissertation presents a novel and efficient multiple objects tracking technique dealing long-term and complete occlusion. The technique is based on a new low cost object appearance model to associate objects. This work is primarily focused on the improvement of resource utilization aspects, targeting real-time embedded applications with limited resources. Moreover, a comparative accuracy analysis is also performed to ensure that the proposed work is in close agreement with state of the art methods in terms of accuracy. This dissertation is mainly composed of three contributions. The first contribution presents a K-means based model for object appearance modeling. The appearance model combined with the simple object spatial position is used to infer the objects association/tracking decision. The objects appearance model and temporal spatial position is updated for one to one object/blob association throughout the sequence of video. However, for one-to-many blob/objects associations after the onset of occlusion a statistical distance measure is introduced for object association to deal occlusion. The comparative evaluation of resource utilization on standard datasets shows the superior performance of our approach in terms of computational time and/or memory as compared to the state-of-the-art baseline methods. In our second contribution, a low cost K-means based object appearance model is presented to achieve a faster solution for multiple objects tracking. In our first contribution and the recent literature, the object appearance is updated in every frame. However, there is no need to update the appearance model in every frame as more often it tends not to change. For this purpose, a novel histogram based appearance update model is applied on every detected blob to decide when to update the appearance model. Moreover, the employed histogram based cluster initialization further reduces the overall computational cost as the standard K-means algorithm can take more time to converge due to improper initialization of cluster centroids. The presented low cost model achieves much faster solution as compared to the baseline K-means and GMM based models with comparable memory requirements and accuracy. xi The first two contributions are about realizing a low cost multiple objects tracking method using merge and split approach for occlusion reasoning. The accuracy of the merge and split is compromised during occlusion. However, the emphasis of third contribution is on the improvement of accuracy during occlusion with reasonable resource utilization. In this contribution the K-means based method is extended to straight through approach, which tracks the individual objects despite occlusion thus increasing the accuracy. Low cost shape and appearance models are combined for pixel association during occlusion. Furthermore, two-pass outlier rejection technique is employed to address the issue of outliers. Our approach provides superior accuracy as compared to the state-of-the-art online multiple objects tracking approaches with comparable resource utilization. The prime objective of all the contributions of this dissertation is to provide a resource efficient solution of multiple objects tracking with comparable accuracy to the state of the art. In literature, the main focus of researchers is towards the aim of the accuracy with compromise on the resource utilization aspects of the system. The trending embedded smart cameras have started to replace the conventional PC based surveillance systems due to their low cost and built-in intelligence. To achieve real time solution with limited available resource, smart cameras require efficient algorithms with minimum resource utilization. With efficient resource utilization, the multiple objects tracking algorithms proposed in this dissertation, provides very strong grounds for the development of smart camera based real time surveillance solution.