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Home > Religious Madarsas of Sukkur District and TheirReligious Services.

Religious Madarsas of Sukkur District and TheirReligious Services.

Thesis Info

Author

Muhammad Ishaque

Supervisor

Madad Ali Qadri

Program

PhD

Institute

University of Sindh

Institute Type

Public

City

Jamshoro

Province

Sindh

Country

Pakistan

Degree End Year

1994

Thesis Completion Status

Completed

Subject

Islamic Culture

Language

English

Added

2021-02-17 19:49:13

Modified

2023-01-06 19:20:37

ARI ID

1676729272219

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قادر کریم تے چور

قادر کریم تے چور

پرانے وقتاں دی گل اے کہ کسے پنڈ وچ قادر کریم ناں دا اک بندہ رہندا سی۔ اوہ بہت بھولا تے تیز وی سی۔ اک دن اوس دی گھر والی نے آٹا پیسن لئی چکی دا پڑلیاون آکھیا تے نال ای نصیحت کیتی کہ اپنے نال کسے نوں نال نہ لے کے جاویں گھروں اوہ خرید داری نکلا تاں رستے وچ اوس نوں اپنا پرچھانواں نظریں آیا۔ اوس نے سوچیا کہ کوئی بندہ میرے نال آ رہیا اے۔ اوس نوں یاد آیا کہ اوس دی گھر والی نے آکھیا سی کہ کسے نوں نال لے کے نہیں جانا۔ اوس نے اوس بندے نوں آکھیا کہ میرا پچھا چھڈ دے۔ اوس نے پچھا چھڈاون لئی اوس نوں دس روپے وی دتے پر اوہ فیر وی اوس دے نال ای رہیا۔ اوس پُڑ خریدیا تے گھر ول سفر شروع کر دتا۔ اوس نے ویکھیا کہ اوہ بندہ اوس دے نال ای اے۔ اوس نے پچھا چھڈاون لئی اپنے کپڑے وی اتار کے دتے تے پڑوی دتا۔ تے منت کیتی کہ اوس دا پچھا چھڈ دے۔ گھر آ کے اوس ساری گل بات اپنی گھر والی نال کیتی۔ اوس آکھیا کہ ایہہ تیرا پرچھانواں اے۔ ایس تیرے نال ای رہنا ایں۔ ہن توں جا رستے وچ جتھے پیسے، کپڑے تے پُڑ رکھ کے آیاں ایں، اوہ چک لیا۔ اوہ ایہہ چیزاں لین لئی گھروں نکلدا اے۔

شہر جاندے ہوئے اوس نوں اک آدمی ملیا جس نے شہر جانا سی، پر اوس نوں شہر دا رستہ معلوم نہ سی۔ اوس بندے نے قادر کریم کول شہر دا رستہ پچھیا تے دونواں شہر ول ٹر پئے۔ رستے وچ رات ہوون پاروں اوہ آرام کرن لئی اک درخت تھلے سوں گئے۔ رات ستے پئے اوہناں نوں چوراں نے آن گھیریا۔ چوراں نے قادر...

مسائل میراث حل کرنے کے قدیم اور جدید حسابی طریقوں کا تقابلی جائزہ

Inheritance is a key issue in the Islamic Knowledge base. Its importance has been clarified in Qur’an and Sunnah. The Holy Prophet Muhammad (ﷺ) has referred to it as half of the knowledge and has ordered of seeking inheritance and warned that this will be eliminated first from my Ummah, and also notified that this is volatile nature of knowledge which get lost after memorization if not fully cared and practiced. In the light of above mentioned Hadīths it is worth consideration to make knowledge of Inheritance practicable in everyday life. A reason could be that the arithmetic means used for the solution of Inheritance problems is complicated and time consuming. There it is important to introduce such easy and short arithmetic rules for the solution of Inheritance problem that are easily understandable by both the scholars as well as the common man. This will result in making Inheritance easy to handle and hence will become practicable. In a hadith it is stated that near the day of judgement there will be a conflict between two persons in an Inheritance issue and they will not find a scholar to resolve their problem. In this Article an Introduction and comparison of old and new easy arithmetic principles are made in scholarly manner to introduce new easy methods and draw the attention of the people to such a valuable knowledge and relieve the Phobia of the people regarding it.

3D Face Recognition Based on Pose and Expression Invariant Alignment

3D face recognition has made considerable progress during the last decade as an emerging biometric modality. In order to ensure reliable 3D face recognition, novel 3D alignment and recognition algorithms are proposed in this research work. The principal objective of this dissertation is to investigate and introduce novel techniques to construct a fully automatic 3D facial recognition system. The first study presents a novel, pose and expression invariant approach for 3D face alignment based on intrinsic coordinate system (ICS) characterized by nose tip, horizontal nose plane and vertical symmetry plane of the face. It is observed that distance of nose tip from 3D scanner is reduced after pose correction which is presented as a quantifying heuristic for the proposed alignment scheme. In addition, motivated by the fact that a single classifier cannot be generally efficient against all face regions, a two tier ensemble classifier based 3D face recognition approach is presented which employs Principal Component Analysis (PCA) for feature extraction. The individual regions are classified using Mahalanobis Cosine (MahCos) distance, Euclidean distance, Mahalanobis (Mah) distance, and Manhattan distance in separate experiments. The resulting matching scores are combined using weighted Borda Count (WBC) based combination and a re-ranking stage. The performance of the proposed approach is corroborated by extensive experiments performed on two databases, namely, FRGC v2.0 and GavabDB, confirming effectiveness of fusion strategies to improve performance. In the second study, a novel and fully automatic pose and expression invariant 3D face recognition algorithm is proposed using two-pass 3D face alignment based on minimum distance and two-pass 3D face alignment based on classification approach. The proposed alignment approaches are capable of aligning neutral and expressive 3D faces acquired at frontal and non-frontal poses whereas the former is capable of aligning profile face images as well. For the face recognition framework, multi-view 3D faces are synthesized to exploit real 3D facial information. The matching scores are computed between multi-view face images using Mahalanobis Cosine (MahCos) viii distance, Euclidean distance, Mahalanobis (Mah) distance and Manhattan distance in separate experiments. Inspired by the effectiveness of fusion approaches, Support Vector Machine (SVM) is employed using scores obtained from multi-view face pairs for face verification. In addition, a three stage unified classifier based face identification algorithm is employed which combines results from seven base classifiers at first stage, two parallel face recognition algorithms at second stage and an exponential rank combiner at third stage in a hierarchical manner. For profile face images, the face identification algorithm combines results using four base classifiers, two parallel face recognition algorithms and the rank combiner stage. The performance of the proposed methodology is demonstrated by extensive experiments performed on two databases: FRGC v2.0 and GavabDB. The results show that the proposed methodology can be efficiently used to construct a pose and expression invariant facial recognition system.