محقق ِنعت: ڈاکٹر شہزاد احمد
بہت خوش نصیب ہیں وہ لوگ جن کے شب و روز سید الانبیاء والمرسلین صلی اللہ علیہ و آلہٖ وسلم کی تعریف و توصیف کے بیان میں گزرتے ہیں۔ ایسے ہی خوش نصیب افراد میں ایک نام ڈاکٹر شہزاد احمد خان کا ہے۔ڈاکٹر صاحب کی نعت سے وابستگی نصف صدی پر محیط ہے۔جس پر بجا طور پر انھیں فخر بھی ہے ۔
شہزادؔ! میں بھی عاشقِ خیرالانام ہوں
ہاتھوں میں میرے دیکھیے دامانِ نعت ہے
فروغِ نعت کے حوالے سے ڈاکٹر صاحب کی خدمات کسی تعارف کی محتاج نہیں ہیں۔ آپ ۱۹۷۲ء سے ثناخوانی کررہے ہیں۔ مولانا اختر الحامدیؒ، علامہ سید محمد ہاشم فاضل شمسیؒ، مولانا عبدالقدوس قادریؒ، علامہ شمس بریلویؒ اور بابا سید رفیق عزیزی یوسفی تاجی ؒ جیسے بزرگوںکے آپ صحبت یافتہ ہیں۔ ایک اچھے نعت خواں اور نعت گو ہونے کے ساتھ ساتھ نعتیہ کتابوں کے مصنف و مرتب،تذکرہ نگار، نعتیہ رسائل کے مدیر، نعتیہ ادب کے محقق ، فروغِ نعت کے لیے قائم متعدد تنظیموں کے بانی اور نعتیہ کانفرنسوں اور جلسوں کے منتظم بھی ہیں۔
ڈاکٹر صاحب کا ایک بڑا کام ـ’’اردو نعت پاکستان میں‘‘ (نعتیہ شاعری کا تحقیقی جائزہ پاکستان کے خصوصی حوالے سے) کے عنوان سے وہ تحقیقی مقالہ ہے جس پر جامعہ کراچی نے انھیں پی ایچ۔ڈی۔ کی سند عطا کی ہے۔ اس سے نعتیہ ادب کے فروغ میں آپ کی محنت، تحقیق ، جستجو اور لگن کا اندازہ کیا جاسکتا ہے۔
عصر ِ حاضر میں نہ صرف حمدیہ و نعتیہ موضوعات پر ملکی و غیر ملکی جامعات میں ایم۔فل۔اور پی ایچ۔ڈی کی سطح پر تحقیقی مقالات لکھے جارہے ہیں بلکہ حمدو نعت سے وابستہ شخصیات بھی تحقیقی مقالات کا موضوع بن رہی ہیں۔ فروغِ نعت کے حوالے سے ڈاکٹر شہزاد صاحب کی خدمات یقینا اس لائق ہیں کہ انھیں...
Since Covid-19, there has been a rise in e-commerce and online brands' influence on consumer buying behavior. It is crucial to investigate the factors that impact online consumer purchase behavior. Applying the theory of reasoned action (TRA), our study seeks to assess the extent to which customer satisfaction and perceived risks build trust and how trust, consumer engagement, and ease of purchase would act as reasons for consumers to engage in e-commerce in Pakistan. Using data gathered from 400 respondents via a questionnaire, we have demonstrated the precise relationship between these six constructs. Results indicate that customer satisfaction positively influences trust while perceived risks negatively affect it and that trust and consumer engagement positively and directly impact purchase behavior. Online retailers should improve these factors and modify the online environment to increase sales from their e-channels and improve customer retention
The prime goal of design and synthesis of Digital Signal Processing (DSP) algorithms and architectures is to meet the throughput requirements of an application in a hardware-economic fashion. Economics of hardware implementation includes an improvement in resource utilization, and power consumption, in the context of widely accepted application performance metrics, such as design throughput, spectral purity, and algorithmic precision. DSP tasks are usually computationally intensive and involve complex operations in real or pseudo-real-time. Choice of implementation hardware platform thus depends upon application requirements such as minimum data rate and signal fidelity keeping within the resource utilization and power consumption budgets. Realization of such cost effective hardware systems requires use of several complexity reduction methods and optimization techniques. Modern Field Programmable Gate Arrays (FPGAs) include complex slice fabric, intricate routing architectures, large input lookup tables, and specialized hardware blocks. Apart from the configurable logic blocks and routing structure present in classical FPGAs, modern FPGAs have built-in computational blocks for specialized functions. However, optimal system performance, in terms of clock speed, device utilization ratio, and power consumption, can only be achieved with meticulous and careful use of these advanced and specialized hardware resources. Standardized design optimizations used in Application Specific Integrated Circuits (ASICs) cannot be directly employed for algorithms to be implemented on FPGAs because of the fixed layout and routing structure of FPGAs. Harnessing the power and flexibility of FPGAs to their full potential to achieve requisite performance and efficiency gains for these cutting-edge applications, necessitates development of customized algorithmic and architectural optimizations. This work concerns two major domains of DSP hardware implementations, firstly, to gain performance enhancement by optimal mapping of digital designs onto the FPGA hardware and secondly, to architect algorithmic transformations for modifying the application architecture to the one more conformant to FPGA implementation. Which in turn, involves the reduction of computational complexity by reducing the number of multipliers and adders as well as achieving the higher data rates through pipelining and efficient encoding. vAdvanced optimizations and customizations for core DSP applications, such as Finite Impulse Response (FIR) filters, Infinite Impulse Response (IIR) filters, complex multipliers, various architectural transformations of multi-input adders, Coordinate Rotation Digital Computer (CORDIC), and multi-rate interpolation and decimation filter implementations have been proposed during the course of this work. Furthermore, this thesis proposes novel design methodologies for generating architectures for optimal mapping on these modern FPGAs containing specialized computational blocks and hardware functional units. The new methods keep in perspective the architectural peculiarities of the target FPGAs, and additionally, apply transformations to achieve higher throughput. The resulting architectures have shown substantial improvement over state of the art designs reported in literature.