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Improvement of Combustion Efficiency in Gas Terbine Plants

Thesis Info

Author

Najeeb Ahmed

Department

Department of Mechanical Engineering, UET

Institute

University of Engineering and Technology

Institute Type

Public

Campus Location

UET Main Campus

City

Lahore

Province

Punjab

Country

Pakistan

Thesis Completing Year

1987

Thesis Completion Status

Completed

Page

60.; HB.; ill.; diagrs.; tabs.

Subject

Engineering

Language

English

Other

Call No: 621.406 N 14 I

Added

2021-02-17 19:49:13

Modified

2023-01-06 19:20:37

ARI ID

1676712499578

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۔مابعد جدید کےنظریہ کا اصل مقولہ

 

 مابعد جدید کےنظریہ کا اصل مقولہ

 احمد سہیل

میرے تقریبا آدھی صدی کے ادبی سفر میں میرا زیادہ تر وقت ادبی نطرئیے کی تنقید اور اس کی تفھیم اور تشریح میں گذرے۔ اس حوالے سے میں  نے چار کتابیں  ' جدید تھیٹر' ، ساختیات'، تنقیدی تحریرین اور  ' تنقیدی مخاطبہ' کے  نام سے چار کتابیں لکھی اور   سیکرو مضامین ادب کے تنقیدی نظرئیے پر لکھے جو  اردو اور انگریزی کے   ادبی اور علمی جرائد میں شائع ہوئے۔ میں نے یہ محسوس کیا کی اردو کا  ادبی اور تنقیدی محاول ادبی تنقیدی نظرئیے میں زیادہ سنجیدہ نہیں ہے یا  شاید اس کو یہ سمھ نہیں آتا۔

 یہ خاکسار آج  مابعد جدید نظرئیے پر  اساسی اور چند  اہم نکات پر  مختصرا بات کرے گا۔ اور   یہ بھی چاہوں گا کی شفاف اور آسان زبان میں " مابعد جدیدت" کا مفہوم واضح ہو جائے۔

*** مابعد جدیدت کیا ہے؟ ***

مابعد جدیدیت ایک ادبی صنف اور اسلوب کے لیے ایک اصطلاح ہے جو 20ویں صدی کے دوسرے نصف میں ابھری۔ مابعد جدیدیت کی تعریف میں، ادب نئی خوبیوں اور خصوصیات کو اپناتا ہے جو اس سے پہلے کی دہائیوں میں نہیں تھیں۔ مابعد جدیدیت پسند مصنفین نے اپنی زندگی کے دوران دنیا میں رونما ہونے والے اہم واقعات کے گرد اپنے شدید احساسات کو تلاش کرنے کے لیے قائم کردہ ادبی کنونشنوں کو کمزور کرنے کی کوشش کی۔

ایک عام اور وسیع تر اصطلاح جس کا اطلاق ادب، فن، فلسفہ، فن تعمیر، افسانہ، اور ثقافتی اور ادبی تنقید پر ہوتا ہے۔ مابعد جدیدیت بڑی حد تک سائنسی، یا مقصدی، حقیقت کی وضاحت کی کوششوں کے مفروضہ یقین کا ردعمل ہے۔ جوہر میں، یہ ایک...

سیرت نبوی کی روشنی میں بغاوت (خروج) سے متعلق احکامات کا تحقیقی جائزہ

Islam orders to obey the ruler and not to indulge in activities that may cause disruption & instability of an Islamic state. This research discusses rules & regulations based on sīrah about rebellion (khurūj), and relevant topics from Islamic Jurisprudence. The basic question of this research is whether revolt against the ruler is permissible and what would be the punishment? This research elaborates four types of rebellion. Rulings of Muslim scholars regarding rebellion are subjected to the different positions of rulers. According to all school of thoughts the khurūj is not permitted if the ruler is lawful and serving his community with justice. In contrary, there is difference of opinions about the tyrannous and iniquitous ruler. This article concluded that majority of Muslim Scholars do not permit khurūj in any case, some others laid down very strict conditions in this regard.

Grand: Graph Based Author Name Disambiguation Framework

Author name disambiguation is a challenging research area in the field of biblio metric analysis, scientometrics, and informetrics. Author name ambiguity may occur in two ways, when multiple authors share a common name, or an author’s multiple name variations appear in the bibliographic databases, such as DBLP, ACM, and Google Scholar. In both these scenarios, it is difficult to be certain about the accuracy of the retrieved results. Proper identification of one’s work from other’s is necessary due to many reasons, for example, in author ranking sites such as the Arnetminer, presence of author’s name ambiguity in citations leads to wrong metrics such as h-index, g-index, and i-index. Author name am biguity is one of the main errors for the wrong analysis in these bibliographic databases. To improve the accuracy of aforementioned metrics, it is necessary to disambiguate these ambiguous authors. Similarly, these bibliographic databases provide content as an input to visual bibliographic information retrieval systems that are currently used for expert (supervisor) finding, specific literature searching, selecting reviewers, and detecting a potential conflict of interests. Existing author name disambiguation techniques require a representative labeled data set for the training of the model, or require a number of ambiguous authors known a priori, or require extra information from the Web, or need user feed back, and are less scalable due to the requirement of training thousands of models for each ambiguous author. In this dissertation, a complete author name dis ambiguation framework called “GRAND” is presented that consists of four main algorithms, one each for the resolution of homonyms, synonyms, sole authors, and incremental author’s name ambiguity. The first algorithm is DISC that exploits graph semantics, similarity measures, and community detection algorithms to disambiguate homonyms. The citation data set is preprocessed and ambiguous author blocks are created. DISC utilizes only two citation attributes–co-authors and titles, which are implicit bibliographic information in all bibliographic databases. The co-author’s graph of the citation data set is constructed and “GSkeletonClu: A graph Structural Clustering Algo rithm for networks” is used to identify hub vertices, outliers, and clusters of nodes in the co-author’s graph. Homonyms are resolved by splitting these clusters of nodes across the hub nodes if the similarity between their title feature vectors is less than a threshold. The second algorithm is SISTER that uses graph-based se mantic similarity measure “SynGeo”. It preprocesses and constructs co-author’s graph of the citation’s data set. Synonyms are resolved by exploiting SynGeo, which is based on syntactic similarity and graph geodesics between compared nodes. The third algorithm is GCLUSIM, which detects and disambiguates sole authors. In GCLUSIM, sole author’s and disambiguated author’s title feature vectors are constructed to find the similarity between them. On the basis of this similarity, a sole author may be merged with the disambiguated clusters. As our final contribution, the fourth algorithm is CAND that exploits author name in dices, author profiles, and a comparison function to solve the incremental author’s name ambiguity. Author name indices enhance the overall system performance and author profile models help in disambiguation of the incremental insertions. The comparison function utilizes the most strong bibliometric features–co-author, titles, and self-citations. The proposed algorithms are effective than state of the art methods in terms of clustering metrics. Furthermore, we believe that our pro posed algorithms in this dissertation can serve a baseline for future author name disambiguation studies.