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Guidelines for the development of automated test case exection tool s .

Thesis Info

Author

Asma Habib

Supervisor

Muhammad Rizwan Bin Faiz

Department

Department of Computer Science and Software Engineering

Program

MS

Institute

International Islamic University

Institute Type

Public

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

2015

Thesis Completion Status

Completed

Page

59

Subject

Computer Science

Language

English

Other

MS 005.3 ASG

Added

2021-02-17 19:49:13

Modified

2023-02-17 21:08:06

ARI ID

1676722152602

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مولانا عبدالحفیظ بلیاوی

مولانا عبدالحفیظ بلیاوی
ابھی چند روز ہوئے (۲۶ ؍جولائی کو) مولانا عبدالحفیظ صاحب بلیاوی بھی ہم کوداغِ مفارقت دے گئے۔انا ﷲ وانا الیہ راجعون۔ مرحوم دارالعلوم دیوبند کے قدیم فارغ التحصیل تھے اوراب ادھر ایک عرصہ سے ندوۃ العلماء لکھنؤ میں عربی زبان وادب اوردوسرے علوم وفنون دینیہ کے نامور استاد تھے۔استعداد بڑی پختہ تھی اورمطالعہ وسیع تھا۔عربی زبان وادب کاذوق فطری تھا جس کی شاہد عدل ان کی مشہور متداول کتاب ’’مصباح اللغات ‘‘مطبوعہ مکتبہ برہان ہے اور جس پران کو وزارت تعلیم اور یوپی گورنمنٹ کی طرف سے انعامات بھی ملے تھے۔ طبعاً بڑے متواضع، خوددار اور خلیق و ملنسار تھے۔ ابھی گزشتہ مئی کی ۱۷؍ تاریخ کوان کی قیام گاہ پران سے ملاقات ہوئی تھی ۔چند ماہ سے بیمار تھے لیکن اس وقت اس کا خیال بھی نہیں تھاکہ یوم موعود اتنا قریب ہے۔ اﷲ تعالیٰ ابرار وصلحا ء کامقام جلیل عطا فرمائے ۔آمین [اگست ۱۹۷۱ء]

 

خاندانی نظام کا استحکام اور معاشرتی فلاح: تعلیمات نبوی ﷺ کی روشنی میں

Man is social by nature, and has been living collective community. Life from the very inauguration. Islam familiarize healthy teaching in every speech of life to go faster the Human well-being. The family is social group Caracterised by common dwelling, economic co-operation and duplicate The main feature of islam social System entitle that family was concentrated as an important, basic institute. Islam introduced such values wich discriminating internal and external refinement helped creating harmony, among the individuals in different roles and figures, so that all prejudgments and judgements should come to an end in Muslims society according to Quranic teaching. The Holy Prophet (SAW) guided the individual sociological level and the community at sociological level to create a balanced social, moral, economical, and all aspect of family life. Even in the present current system, the basic unit family whether its nature is unclear or extended, is plying its important role for the continuity of human race, training the human source as a tool to create chastisement andorginization in the social set–up, building of character and personality on constructive, good and healthy lines to be able to achieve his sociological, ethiecal role in this society with the specific outlook of being accountable to Almighty Allah Who created man and sent him in thise world to fulfill the mission of obeing his inventor.

Adaptive Estimation Using State-Space Methods

This thesis focuses on the development of new variants of adaptive filters. Built around state-space framework, the proposed filters are especially suitable for applications like tracking, output feedback control and recursive spectrum estimation. They operate without prior knowledge of process and observation noise statistics and exhibit good stability properties. The development in this thesis can broadly be classified into state- space least mean square (SSLMS) and finite memory least-squares filters. SSLMS is a generalization of the well-known least mean square (LMS) filter. Incorporating linear time-varying state-space model of the underlying environment, SSLMS exhibits marked improvement in its tracking performance over the standard LMS. An extension of SSLMS is SSLMS with adaptive memory (SSLMSWAM). SSLMSWAM iteratively tunes the step-size parameter by stochastic gradient method in an attempt to yield its most appropriate value. This filter is useful for situations where a suitable value of step-size parameter is difficult to obtain beforehand. Recursive nature of an adaptive filter brings with it stability issues. The concept of finite memory (or receding horizon) for an adaptive filter is appealing because it ensures stability. This motivates the development of finite memory filters, both for iiiunforced and forced systems. Finite impulse response (FIR) adaptive filter, built around structure of an unforced system, uses weighted observations on a finite interval. Uniform weighting of the observations results in rectangular RLS (RRLS). Additional flexibility is achieved by developing an adaptive memory variant of FIR adaptive filter. Similar to SSLMSWAM, the data window size is iteratively tuned so as to minimize the prediction error. For the forced system case, a useful solution in the form of receding horizon state observer is obtained. It finds utility in output feedback control of linear time-varying systems. An insight into convergence properties of finite memory based filters is provided by the convergence analyses. Spectrum update with the arrival of new data is a desirable feature in real-time spectrum estimation applications. The mathematical equivalence of RRLS resonator bank and recursive discrete Fourier transform (DFT) gives the rationale for using the newly developed filters for recursive spectrum estimation. A symmetric windowed variant of RRLS called ‘truncated exponential RLS (TERLS)’ is useful for reducing spectral leakage. Same is true for an SSLMS resonator, which has an attractive feature that spectral side levels and main lobe width may be reduced simultaneously by reducing the step-size parameter. The higher order resonator (HOR), constructed from several SSLMS resonators, exhibits close resemblance to an ideal (rectangular) frequency bin, thus minimizing spectral leakage and increasing resolution.