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Void Hole and Collision Avoidance in Geographic and Opportunistic

Thesis Info

Author

Aasma Khan

Supervisor

Nadeem Javaid

Department

Department of Computer Science

Program

RSE

Institute

COMSATS University Islamabad

Institute Type

Public

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

2017

Thesis Completion Status

Completed

Subject

Computer Science

Language

English

Added

2021-02-17 19:49:13

Modified

2023-01-06 20:51:29

ARI ID

1676720110508

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میر اکبر علی خان

سابق گورنر میر اکبر علی خاں
اتر پردیش اور اڑیسہ کے سابق گورنر میر اکبر علی خاں کی وفات ملک و ملت کا اہم حادثہ ہے، وہ تحریک خلافت اور آزادی کی جدوجہد میں شریک رہے، اسی زمانے سے مولانا سید سلیمان ندوی سے ان کے تعلقات تھے، وہ علامہ شبلیؒ اور سید صاحبؒ کے قدرداں اور دارالمصنفین سے بڑا اخلاص رکھتے تھے، جب اتر پردیش کے گورنر ہوئے تو اسے میزبانی کا شرف بھی بخشا اور ایک بڑی رقم مرحمت کی جس سے ایک بڑا ہال تعمیر ہوا، مرحوم ہماری پرانی تہذیب و شرافت کا نمونہ اور سچے مسلمان تھے، صوم و صلوٰۃ کے پابند تھے، دارالمصنفین میں ان کی تشریف آوری جمعہ کے دن ہوئی تھی، یہیں کی مسجد میں جمعہ کی نماز ادا کی، جب وہ اڑیسہ کے گورنر تھے تو اس زمانے میں ایک دفعہ میں کلکتہ گیا، گورنر ہاؤس میں عصرانہ تھا، جس میں وہ بھی شریک تھے، میں ملا تو بڑی شفقت و محبت سے پیش آئے اور دارالمصنفین کا ذکر خیر فرماتے رہے، اﷲ تعالیٰ انہیں جنت الفردوس نصیب کرے اور پسماندگان کو صبر جمیل عطا کرے، آمین۔ (ضیاء الدین اصلاحی،جولائی ۱۹۹۴ء)

صحتِ انسانی اور صحت مند ماحول میں نباتات کا کردار: سائنس اوراسلامی تعلیمات کے تناظر میں ایک مطالعہ

The research paper deals with role of plants in human health and healthy environment in the context of Qur'anic verses and science. The concept of growing plants for health rather than for food or fiber is slowly changing plant biotechnology and medicine. Rediscovery of the connection between plants and health is responsible for launching a new generation of botanical therapeutics that include plant-derived pharmaceuticals, multi component botanical drugs, dietary supplements, functional foods and plant-produced recombinant proteins. Many of these products will soon complement conventional pharmaceuticals in the treatment, prevention and diagnosis of diseases, while at the same time adding value to agriculture. Holy Quran describes the importance of rain as pure water to irrigate dead soil and emergence of life (plant’s growth) from the dead soil. Plants provide foods for human beings and are necessary for healthy environment. Man is an omnivore who gets his food from both plant and animal sources. However, for immediate energy, humans rely more on plant starches and soluble sugars, including glucose and edible sugar. Generally, our normal diet consists of rice or wheat bread which is a very important source of starch.  Sugar and fats are the two most important components of food managed by plants. Apart from this, the man manages vegetables and salads from plants which are the guarantors of his health/survival in modern times. There are many reasons for diversity in plants. The obvious reason is the chemistry of that particular piece of land, what kind of minerals/salts and other nutrients that land has and what types of plants can grow there in their presence. In this research written with a descriptive and analytical approach, it is proved that according to Quran and science plants have a great role in human health and healthy environment.

Bayesian Approach of Testing Many Hypotheses Concerning Parameters of Multivariate Normal Distribution

Multiple hypothesis testing is an important topic in statistics. Therefore, the problem addressed in this thesis is an important one. The Bayesian methods of hy- potheses testing are widely used for solving different problems, and this technique is rather well developed. A lot of scientific works are dedicated to the development of this method. Many interesting and important results have been obtained in this field by different authors. Despite of this fact there still remain a lot of unsolved prob- lems. For filling these gaps, in this thesis we consider different problems of testing many hypotheses by the Bayesian approach. In particular, in the Bayesian problem of many hypotheses testing concerning all the parameters of multidimensional normal distribution at correlation of observation results we have obtained the following new results: the problem of computation of the risk function were considered; the formulae for calculation of multidimensional probability integrals by series using the reduction of dimensionality to one without information loss were derived; the formulae for cal- culation of product moments for normalized normally distributed random values were derived; the problems of existence and continuity of the probability distribution law of linear combination of exponents of quadratic forms of the normally distributed random vector, and, also, the problem of finding the closed form of this law were considered; the existence of this law and the opportunity of its unambiguous deter- mination by calculated moments of the appropriate random variable were proved; the approximation of optimal regions of acceptance of hypotheses, which significantly simplify the algorithms of realization of general solutions of the task, is offered; the viiiix properties and interrelations of the developed methods and algorithms were investi- gated; the problem of choosing the loss function in the Bayesian problem of many hypotheses testing was considered; the results of sensitivity analysis of the consid- ered Bayesian problem are given; the calculation results for concrete examples, which show the validity of the obtained results are given. Especially must be emphasized that new sequential method of testing many hypotheses based on special properties of regions of acceptance of hypotheses in the conditional Bayesian task of testing many hypotheses is offered. The results of research of the properties of this method are given. They show the consistency, simplicity and optimality of the obtained results in the sense of the chosen criterion, which consists in the upper restriction of the probability of the error of one kind and the minimization of the probability of the error of the second kind. The examples of testing of hypotheses for the case of the sequential independent sample from the multidimensional normal law of probability distribution with correlated components are cited. They show the high quality of the offered methods.