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ڈاکٹر صبحی المحمصانی

ڈاکٹر صبیحی المحمصانی
ڈاکٹر صبیحی المحمصانی عالم عرب میں شریعت اسلامی اور اس کے جدید ملکی و بین الاقوامی قوانین کے مرجع اور سند سمجھے جاتے تھے، انگریزی اور فرانسیسی زبانوں پر ان کو یکساں عبور تھا، ان کا انتقال پیرس میں ستمبر ۱۹۸۶؁ء میں ہوا، لیکن مجمع اللغۃ العربیہ اکتوبر ۸۸؁ء کے شمارہ میں ان کی شخصیت پر تعزیتی مضمون تاخیر سے شائع ہوا، ان کی قابل قدر علمی زندگی خصوصاً قانون کے موضوع پر ان کے اہم اور یادگار کارناموں کی وجہ سے ان کی وفات کا غم آج بھی تازہ ہے۔
وہ ۱۹۰۶؁ء میں بیروت میں پیدا ہوئے، اعلیٰ تعلیم کے لئے فرانس گئے۔ ۱۹۳۲؁ء میں ڈاکٹریٹ کیا، ۳۵؁ء میں لندن یونیورسٹی سے بھی ڈگری لی، دوران تعلیم ان کے خاص مضامین قانون اور معاشیات تھے، تعلیم کے بعد لبنان میں اعلیٰ قانونی عہدوں پر فائز ہوئے، ۶۶؁ء میں وہ لبنان کے وزیر اقتصادیات بھی ہوئے، لیکن سیاسی زندگی کی شورشیں اور بکھیڑے ان کے مزاج کے مطابق نہیں تھے اس لیے اس سے کنارہ کش ہوکر علمی اور تدریسی سرگرمیوں میں مشغول ہوئے اور پھر تصنیف و تالیف کے لئے یکسو ہوگئے، وہ ۴۷؁ء میں دمشق کی مجمع العلمی کے رکن بنے، مسلم ممالک میں اسلامی قانون کے نفاذ کے سلسلہ میں انہوں نے کئی اہم کانفرنسوں میں خصوصی مدعو کی حیثیت سے شرکت کی۔ ان کی تصنیفات کا زیادہ حصہ اسلامی قانون سے متعلق ہے، ان کی ایک کتاب فلسفۃ التشریع فی الاسلام بہت مقبول ہوئی، انگریزی اور فارسی میں اس کے ترجمے ہوئے، اردو میں بھی اس کا ترجمہ لاہور سے ۱۹۵۵؁ء میں شائع ہوا۔ اس کے علاوہ النظریات العامہ للموجبات و العقود فی الشریعۃ الاسلامیۃ، الاوضاع التشریعیہ فی الدول العربیہ، المبادی الشرعیہ و القانونیہ، مقدمہ فی احیاء علوم التراث، القانون و العلاقات الدولیہ فی الاسلام، الدعائم الخلفیہ للقوانین الشرعیہ، ارکان...

The Politics of Energy Trade Between Iran and Pakistan

Pakistan and Iran are neighboring countries that have longstanding historical ties. However, there is little research available about Pakistan-Iran energy trade relations, especially with respect to the Iran-Pakistan gas pipeline. This research is based on primary data collected through qualitative interviews with key policymakers, academicians, and social activists, from Australia, India, Pakistan, and the United States. Based on the analysis of the data, this paper argues that there are risks involved for Pakistan in either honoring United States’ sanctions on Iran or bypassing them. In the former, Pakistan is incurring a huge cost in terms of delayed energy import from Iran while in the latter Pakistan, its officials, and its relevant organizations may face heavy sanctions by the United States. The study concludes that Pakistan must adopt a safer policy to pursue energy import from Iran while conducting good relations with both U.S. And Iran. The participation of India in the Iran-Pakistan energy project can increase the likelihood of its success.

Blind Image Quality Assessment Using Feature Selection Algorithms

The unavailability of reference images in real world problems makes blind image quality assessment (BIQA) a challenging task. The ability of BIQA techniques to assess the image qualityisdirectlydependentonthequalityoffeaturesextracted. ManyBIQAtechniquesare proposed in literature that follow a two-step approach that include extraction of features in different domains and assessment of image quality with the use of extracted BIQA features. TheperformanceofBIQAtechniquescanbedegradedwhenredundantorirrelevantfeatures are present in the image. Therefore, irrelevant and redundant features can be removed using feature selection algorithms that aid in increasing the correlation between predicted quality score and mean observer score (MOS) and lowering the root mean squared error (RMSE), which improves the performance of BIQA techniques. In this thesis, role of feature selection for BIQA has been explored and analyzed. The objectiveoffeatureselectionistoselectfeaturesthatcanhelpinimprovingtheperformance of BIQA techniques. The thesis starts by providing an introduction to image quality assessment followed by a survey of existing state-of-the-art BIQA techniques. The knowledge of existing BIQA techniques is utilized for optimum feature selection, which has not been explored for existing BIQA techniques to the best of our knowledge. In contrast to existing techniques, a three-step framework is presented in this thesis. Existing BIQA techniques are used for feature extraction in the first step. Existing general purpose feature selection algorithms are utilized to reduce the length of feature vector in the second step. The image qualityscoreispredictedutilizingtheselectedfeaturesinthethirdstep. Threeapproachesto feature selection have been considered. Firstly, feature selection is performed using existing feature selection algorithms. During the analysis of features, belonging to various BIQA techniques, it was observed that each distortion type exhibits different characteristics. Each individual distortion type affects each BIQA feature in a distinct manner e.g., Gaussian blur affectsedgeinformationintheimagewhereas,JPEGcompressiondistortiontypeintroduces blockiness in the image. Therefore, using same set of features for all distortion types may not be the optimal approach. Hence, distortion specific feature selection is proposed, which selects different features are selected for each distortion type. Impact of general purpose feature selection algorithms on BIQA techniques has shown promising results. However, thesefeatureselectionalgorithmscanselectirrelevantfeaturesanddiscardrelevantfeatures. Therefore, the performance of fifteen new feature selection algorithms, which are specificallydesignedforBIQA,isexplored. Theproposedfeatureselectionalgorithmsareapplied on the extracted features of existing BIQA techniques and rely on SROCC, LCC, Kendall correlation constant (KCC) and RMSE parameters. Feature selection algorithms based on SROCC and its combination with LCC, KCC and RMSE perform better in comparison to other proposed algorithms. A new BIQA technique based on natural scene statistics properties of the bag-of-features representation and feature selection algorithms is proposed in this thesis. The proposed bag-of-features technique utilizes Harris affine detector and scale invariantfeaturetransformtocomputefeatures, whichareclusteredusingthek-meansclusteringalgorithmtoformthecodebookvocabulary. Thisconstructedcodebookisusedwitha pre-trained support vector regression model to assess the quality of the image. Furthermore, the performance of existing feature selection algorithms is explored on the proposed BIQA technique. Itisobserved,thatfeatureselectionhelpsinimprovingtheperformanceofexistingBIQA techniques,byimprovingtheSROCC,LCC,KCCandRMSEincomparisontousingallthe features for a particular BIQA technique.
Asian Research Index Whatsapp Chanel
Asian Research Index Whatsapp Chanel

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