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Monitoring & automation of SNG via GSM

Thesis Info

Author

Raza, Kashif Ali

Department

Department of Electronic Engineering

Program

BS

Institute

International Islamic University

Institute Type

Public

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

2008

Thesis Completion Status

Completed

Subject

Electronic Engineering

Language

English

Other

BS 621.382 RAM

Added

2021-02-17 19:49:13

Modified

2023-01-06 19:20:37

ARI ID

1676723410104

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زندہ ہے بھٹو

زندہ ہے بھٹو

                                                                                                                رضا زیدی

سیدھی بات ہے جو موت کو ،امیر المومنین علی ؑ کی سنت پر دلیری سے عمل پیرا ہوتے ہوئے ۔کامیابی سمجھ کر گلے سے لگائے وہ بھٹو بن جا تا ہے ۔اس کی زندگی کا مذاق اڑانے یا جلنے والے جلتے جلتے مر جاتے ہیں ۔مٹ جاتے ہیں اور بھٹو گردشِ لیل و نہارکے ساتھ ساتھ اپنی زندگی ،اپنے وجود اور اپنی خوشبو محسوس کراتا رہتا ہے ۔۔۔۔زندہ ہے بھٹو جلنے والے دفع دور رہیں ۔

جب تک سورج رہے گا

بھٹو تیرا نام رہے گا

یہ شخص ایک شکست خوردہ ملک کا سربراہ تھا ۔سامنے والی خاتون فاتح تھی اور اس کی قید میں اس شخص کی نوے ہزار سپاہ تھی اور اس کی زمین کا خاطر خواہ حصہ اس خاتون کے قبضے میں تھا ۔پھر بھی اس شخص کے چہرے پر اعتماد اطمینان اور اس کی بدن بولی دیکھیے ۔ایک شکست خوردہ ملک کا صدر مذکرات کی میز پر وہ سب کچھ جیت گیا جو ہم ممیدانِ جنگ میں ہار چکے تھے ۔

 

غربت کے خاتمہ کے لیے ازواجِ مطہرات کی مساعی

Islam as a religion is not based on empty or futile theories. Infact it intensely educates in altering a practical approach towards ones exixtence both as an individual and or a social being. It is the only religion which lead the way towards welfare/ "Falah" and Qura Calls such people Muflihon. Falah is for both render, either it is a man or a woman. Women especially Holy Prophet's wives are never leave behind in poor's uplift and public welfare. From the very beginning of UMMAHATUL-MOMINEEN (Holy Prophet's wives) are playing vital role in social or public welfare an till in this modern era and patriarchal society, they are role model to help plebians. The Islamic values as the world knows of them today were brought to light through our last messanger (P.B.U.H), assigned with the most important task in probably the most crucial era of human history. With the injustice all over the globe and the leaders of super powers in a rift with each other to dominate the world, exhausted the most important of resouces i.e. The humanity. The divine manifiesto of the Prophet Muhammad (P.B.U.H) and the lives of wives of Holy Prophet was actually based upon justice among masses and the preservation of conflict torn humanity. The intellectual wisdom of Holy Prophet's wives in the given situation was to restore order while restoring justice based upon the reformative rule of law as depicted by the Islamic ideology. The main aim of this very importatnt initiative was to reintroduce the humanity with the most important elements such as humility, mutual respect an retoration of long forgotten code of ethics. The basic foundation of our last Prophet's wives idealogy was to uplift poor whether they are Muslims or not. They successfully ordained the resurfacing, prevalence and practice of the same code of ethics. Now days many of such examples are prevalent in the world, not as a whole yet, though to a certain extent which is holding it together. The war torn and devastated west of the medieval found its solution in applying the same Islamic rule of law in their society in late 17th century and onward. It therefore can be deduced that the same code of ethics, which can be referred to the Quran, the sacred Islamic book, possibly offers the most effective solutions in order to ensure the societal and social development in current era.

Learning to Learn: An Automated and Continuous Approach to Learning in Imperfect Environments

Our quest to understand, model, and reproduce natural intelligence has opened new avenues of research. One such area is artificial intelligence (AI). AI is the branch of computer science aiming to create machines able to engage in activities that humans consider intelligent. The ability to create intelligence in a machine has intrigued humans ever since the advent of computers. With recent advancements in computer science we are coming closer every day to the realization of our dreams of smarter or intelligent machines. New algorithms and methods are constantly being designed by researchers. However these techniques must be evaluated and their performance compared before they can be accepted. For this purpose games have caught the attention of AI researchers and gaming environment have proven to be excellent test beds for such evaluation. Although games have redeemed AI research, one limitation most researchers have applied is of perfect information. Perfect information environments imply that the information available to the agents in the environment does not change. Essentially what this means is that agents can detect entities that they have been trained for but will ignore entities for which training has not taken place. This limitation results in agents that do not gain a single iota of learning while they are in the environment. Whatever learning has taken place during their training, they will not increase upon it. This would all be fine if we were living in a static world of perfect information, but we do not! Learning in such an unpredictable and changing environment is a continuous process for the agents. For this reason we developed a “Continuous Learning Framework” (CLF). CLF enables each agent to detect the changes in the environment and take necessary action accordingly. Agents who fail to do so die out during the evolutionary process. CLF based learning is triggered by stimulus from the environment. We have intentionally kept CLF independent of this environment or of the underlying evolutionary approaches, allowing our CLF to be ported to other environments with dynamic nature. Learning new abilities and adapting successful strategies is crucial to the survival of species. Results of our experimentation show that CLF not only enables agents to learn new strategies suitable to their current environmental state but also5BAbstract ensures proper dissemination of information within a species. Forgetfulness is an inherent feature of the co-evolutionary processes. Keeping this in view we have also explored the integration of historical information and the ability to retain and recall past learning experiences. We have tested a social learning based flavor of our CLF to see whether learning from past is profitable for agents. Each of the species was allowed to maintain a social pool of successful strategies. Results from these experiments show that strategy from the pool results in a significant boost to performance in cases where the environmental conditions are similar to when the strategy was established. This social pools acts like a general reservoir of knowledge which is similar in nature to the one we humans hold with ancient civilizations. This historical information also results in performance boosts by eliminating the “reinvention of wheel” phenomena common to evolutionary strategies. This research not only presents a new way of learning along within a dynamic and uncertain medium but also aims to establish the importance of learning in such an imperfect environment. Much work still needs to be undertaken in this path. Possible future channels of this research include designing better performance evaluation criteria of agents residing in different locations of the environment, and establishing individual archive for learning based on personal experience.