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Performance Analysis of Low-Rate Turbo Hadamard Codes for Rayleigh Fading Channel

Thesis Info

Author

Fawad Ahmad, Jawad Ahmad, Muhammad Asim Ejaz

Supervisor

Sajid Hussain Alvi

Department

Department of Electrical Engineering

Program

BET

Institute

COMSATS University Islamabad

Institute Type

Public

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

2011

Thesis Completion Status

Completed

Subject

Electrical Engineering

Language

English

Added

2021-02-17 19:49:13

Modified

2023-01-06 19:20:37

ARI ID

1676720335009

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قاری جلیل الرحمٰن عثمانی

عثمانی، قاری جلیل الرحمن
ایک ولی اﷲ کی وفات
قاری جلیل الرحمن عثمانی کاانتقال پرملال
دیوبند قصبہ میں جہاں حضرت مولانا قاسم نانوتویؒ نے علمِ دین کی شعاعیں تمام دنیامیں پھیلائیں اوردارالعلوم جیسا عظیم علمی دینی ادارہ قائم کرکے رہتی دنیا تک دیوبند کانام روشن کیا وہاں دیوبند قصبہ کوخود اس بات کاشرف و اعزاز حاصل ہے کہ اس کی سرزمین پرایسی ایسی نامور برگزیدہ جلیل القدر ہستیوں نے بھی جنم لیاجن کی بے پناہ خداداد صلاحیتوں کی بدولت اﷲ کے بندوں نے بہت کچھ علم وعمل اورروحانی فیوض وبرکات حاصل کیے۔سرزمین دیوبند میں حضرت مولانا قاری مفتی عزیزالرحمن عثمانیؒ کی ہستی ایسی تھی جنہیں لوگ ولی اﷲ کہتے تھے۔ان کے عمل وکردار نے کتنے ہی لوگوں کوراہ مستقیم دکھلائی ۔ہزاروں انسانوں نے ان کی پاکیزہ زندگی سے رہنمائی حاصل کی۔دیوبند کے علاوہ ہندوستان اور بیرونِ ممالک کے عوام نے ان کی روحانی ہستی کو سمجھا اور پہچانا۔ قدرتی بات ہے کہ ان کے خاندان میں ان کی روحانی برکت سے ان کی اولاد میں ان کی بہترین واعلیٰ دینی تربیت سے جواولاد پیدا ہوئی اس نے بھی اپنے نیک عمل وکردار کاوہ نقش قائم کیا جو قابل رہنما اصول ہے۔مفکرِ ملّت حضرت مفتی عتیق الرحمن عثمانیؒ بانی ادارہ ندوۃ المصنفین ورسالہ برہان اورحضرت قاری جلیل الرحمن عثمانی ؒ حضرت مولانا مفتی عزیز الرحمن عثمانیؒ کے لائق فرزند تھے۔ ۱۹۸۴ء میں مفکر ملّت مفتی عتیق الرحمن عثمانیؒ کی وفات ہوئی جس سے ملّت اسلامیہ کوناقابل تلافی نقصان پہنچا اوراب یکم ستمبر ۹۵ء کوحضرت مولانا مفتی عزیزالرحمن عثمانیؒ کے صاحبزادے اور مفکرِملّت مفتی عتیق الرحمن عثمانیؒ کے اکیلے برادر خوردحضرت قاری جلیل الرحمان عثمانی انتقال فرماگئے ۔انا ﷲ وانا الیہ راجعون۔
مرحوم بڑے ہی خوش خلق ملنسار اور باکمال روحانی اوصاف کے حامل انسان تھے۔حضرت مفتی عتیق الرحمن عثمانیؒ تو چھپے ہوئے ولی تھے۔ ان کی خوبیوں...

پشتو نثر میں سیرت نگاری کا ایک علمی و تجزیاتی مطالعہ: منتخب کتب سیرت کی روشنی میں

Due to the significance of Sīrah, Muslim scholars started writing about it from the very beginning of Islam. Pashto language, like other major languages, contains the Sīrah writings. There are two types of Sīrah writings in Pashto language. The first type of books are written for a common man, in a very simple language and style, just to get guidance from the Sīrah of the Holy Prophet (P.B.U.H). This type of books were discussed by Dr. Sa’īdullah Qaḍī in his article “Sīrah books in Pashto Language” published in “Al-Ḥaq” Monthly Journal of Jami’a Dārul Uloom Ḥaqqānia, Akora Khattak. The second type of Sīrah books are written after deep research and criticism of the narrations. But it is worth mentioning that no comprehensive research has been carried out so far which can cover both types of books. Therefore an analysis of the Selected Sīrah writings in Pashto Language has been made, to explore the remarkable Sīrah writings in Pashto Language.

Unit Commitment Using Hybrid Approaches

Unit Commitment is an important and vital optimization task in a power control centre. After load forecasting it is the second step in the planning process. It consists of two linked optimization problems. It comprises unit on/off scheduling problem and the economic dispatch sub-problem. The on/off scheduling problem is a 0-1 combinatorial problem with equality and inequality constraints, while the economic dispatch sub-problem is a nonlinear constrained optimization problem. Unit commitment is a nonlinear, large scale, combinatorial, constrained optimization problem. The complete unit commitment optimization problem is to minimize the total production cost (TPC) of utility in such a way that the constraints such as load demand, spinning reserve, minimum and maximum power limits of units, minimum up (MUT) and minimum down times (MDT) are satisfied. Therefore, based on the forecasted load demand, preparing proper on/off schedule of generators can result in cost saving for utility. It is much more difficult problem to solve due to its high dimensionality. The present work is based on the scheduling of thermal units. The generation of initial feasible UC schedules is much important, for the UCP. When initial feasible schedules (generation > load + spinning reserve) are generated randomly, it is difficult to get feasible schedules for the whole daily forecasted load curve. In this work initial schedule is generated by considering the peak, off peak load of the forecasted load curve, must run and must out units based on a new priority list method. The proposed method is very efficient and fast in generating initial unit commitment schedules. In this work the MUT and MDT constraints are checked and repaired by using bit change operator. The trial solutions were generated by taking upper four units in the priority list at each hour to avoid entrapment in local minimum.vi In the unit commitment problem, the economic load dispatch (ELD) sub-problem is an intensive part and its calculations consume a large amount of time. Convex economic dispatch using load to efficient unit and incremental cost criterion methods have been solved. In this work, the ELD calculation for non convex problem has been solved using genetic algorithm (GA) based on real power search method. In the present work, three hybrid approaches have been developed for the convex and non-convex cost functions and applied first time to solve the unit commitment problem. To implement these algorithms a flexible and extensible computational framework has been developed to run in visual C++ environment. The proposed algorithms are (i) “hybrid of dynamic programming, particle swarm optimization and artificial neural network algorithms (DP-PSO- ANN) for convex cost function, (ii) “Neuro-Genetic hybrid approach for non-convex cost function” and (iii) “hybrid of full load average production cost and maximum power output, for convex and non convex cost functions”. For comparison the neural network trained with back propagation learning rule has also been developed. The proposed models have been tested on IEEE 3 and 10 units standard test systems. The significant improvement in the total production cost shows the promise of these hybrid models. National utility system, National Transmission and despatch Company (NTDC) has been reviewed with reference to its operation problems. Four test systems consisting of 12, 15, 25 and 34 units of NTDC system have been tested.