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Compound Emotions Detection [Bs Software Engineering]

Thesis Info

Author

Hamza Tahir

Department

UMT. School of Systems and Technology

Program

BS

Institute

University of Management and Technology

Institute Type

Private

City

Lahore

Province

Punjab

Country

Pakistan

Thesis Completing Year

2017

Thesis Completion Status

Completed

Page

45 . CD

Language

English

Other

; Call No: TP 005.741524 HAM-C

Added

2021-02-17 19:49:13

Modified

2023-01-06 19:20:37

ARI ID

1676713732259

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مولانا ابوالمحاسن محمد سجاد بہاری

آہ مولانا ابوالمحاسن محمد سجاد بہاری!
پچھلے دونوں ہندوستان نے اس خبر وحشت اثر کو نہایت رنج واندوہ سے سُنا کہ مولانا ابوالمحاسن سید محمد سجاد بہاری چندروز کی علالت کے بعد اس دنیائے فانی سے رخصت فرماگئے۔خبر چونکہ بالکل غیر متوقع طورپر ملی تھی اس لیے فرط حزن والم نے حیرت کی صورت اختیار کرلی۔ یعنی ہم یہ جانتے ہیں کہ ہماری بزم علم وعمل کاکوئی لعل شب چراغ گم ہوگیا ہے، لیکن اس احساس کے باوجود تحیر کی فراوانی ہم کو رخصت گریہ اورفرصت نوحہ بھی نہیں دیتی۔
مولانا ابوالمحاسن محامدِ اخلاق اورمحاسن فضائل کے جامع تھے۔فکر ونظر،علم و عمل، محنت ودیانت،تفقہ وتدبر،ایثار وجفاکشی،خلوص وﷲیت۔ان سب اوصاف کے بیک وقت جمع ہونے نے اُن کی ذات کوایسا گلدستۂ خوبی بنادیا تھا کہ وہ’’ای تو مجموعۂ خوبی بچہ نامت خوانم‘‘کا مصداق بن گئے تھے اوراُن پر’’ابوالمحاسن‘‘کی کنیت واقعی طورپر صادق آتی تھی۔ہندوستان میں کوئی قومی اورمذہبی تحریک ایسی نہیں ہے جس میں مولانا نے پورے جوش وخروش کے ساتھ حصہ نہ لیا ہو اوراس میدان میں اپنے ساتھیوں سے پیش پیش نہ رہے ہوں۔سب سے بڑی خوبی یہ تھی کہ اُن کادماغ نہایت دقیقہ رس اور معاملہ فہم تھا۔وہ موضوع فکر کے ایک ایک پہلو پربڑی سنجیدگی اورعالی ہمتی کے ساتھ غوروخوض کرتے تھے،اوراُس میں ایسی ایسی باریکیاں پید اکرتے تھے کہ لوگ حیران رہ جاتے تھے۔وہ عملاً بڑے جری اوربہادر تھے لیکن اُن کادماغ انتہائی جوش وخروش کے عالم میں بھی کبھی مغلوب نہیں ہوتاتھا۔جذبات کی گرمی کے ساتھ وہ ہر معاملہ پرٹھنڈے دل سے غور کرتے تھے۔حق یہ ہے کہ جماعت علما ہند میں وہ اپنی گوناگوں خصوصیات کے لحاظ سے گوہر یکتا تھے۔بقول کسی کے وہ ہرشخص کی قائم مقامی کرسکتے تھے لیکن اُن کی قائم مقامی کوئی نہیں کرسکتا۔فواحسر تاکہ ہماری انجمن کایہ گل سرسبدآج خزاں دیدۂ اجل ہوکرآغوش لحد میں آسودۂ...

Parliamentary System and Framing of the 1973 Constitution: Contest between Government and Opposition inside the National Assembly

It is generally believed that the Constitution of 1973 was passed unanimously by the parliament of Pakistan and was equally acceptable for all the federating units. While studying the processes of the approval of the said constitution inside the assembly, it becomes evident that the reality was quite different. There exists an argument that most of the Opposition members were not allowed to join the parliament’s session while the final approval of the constitution was processed. The present paper is an effort to analyse the developments that took place inside the National Assembly to pass this document which was to serve as the fundamental document of the state system in forthcoming years. In other words, the present article analyses the course of action through which the Constitution was framed. This is an analytical study primarily based on the National Assembly debates supported by the secondary sources, biographies, and autobiographies of the contemporary politicians to understand how far the amendments suggested by the then opposition were accommodated by the ruling party. Furthermore, this paper analyses the reasons for which each government has to amend the basic structure of the constitution to make it more practical and acceptable for its units. For instance the Eighteenth Amendment removed the concurrent list of the constitution but now the following governments are facing issues to implement the Amendment in detail.

Yield Forecasting of Maize for Different Agronomic Practices under Climate Change and Variability Using Simulations and Remote Sensing

Yield forecasting is becoming increasingly important in the context of climate variability and change using approaches like remote sensing and crop modeling. Climate variability and change are affecting crops and efficiency of input resources. The situation is demanding efficient management of input resources. Changing climate is also affecting current production technology which needs modification using modern tools. Two field experiments were conducted at Water Management Research Center, University of Agriculture Faisalabad, Pakistan. Field experiments addressed above mentioned issues. The first experiment included full (100%) and three reduced levels (80%, 60% and 40%) of irrigation with four levels of nitrogen (160, 200, 240 and 280 kg ha-1) at different critical growth stages of maize. Second experiment involved four sowing dates (i.e.27 January, 16 February 8 March and 28 March) and three maize hybrids (i.e. P-1543, DK6103 and NK8711) during the years 2015 and 2016. Different system approaches were used to optimize the volume of irrigation, amount of nitrogen (N) and sowing date for maize hybrids. CERES-Maize model was calibrated and evaluated with second experiment. Calibrated model was used to explore the effects of climate variability and climate change (CC) at regional scale. Different adaption strategies were developed to mitigate the negative effects of climate change. Remote sensing framework was used for regional yield forecasting that can assess seasonal and interannual variability. In first experiment results from model and economic analysis showed that the N rates of 235, 229, 233, and 210 kg ha-1 were the most economical optimum N rates to achieve the economic yield of 9321, 8937, 5748 and 3493 kg ha-1 at 100%, 80%, 60% and 40% irrigation levels, respectively. The optimum level of irrigation was 250 mm. The results of second experiment revealed that grain yield was continuously decrease with delay in Planting date, among maize hybrids Poineer-1543 performed best in spring season. Model parametrization results showed a reasonably good result in prediction of biological and grain yield with RMSE values of 963 kg ha-1 and 451 kg ha-1. Different GCMs were used for understanding the CC impacts, which indicated that there would be increase of 3.4°C in maximum and 3.8°C in minimum temperature in hotdry GCM. The reduction in maize yield due to rise in temperature will be 27% under mid-century (2040-2069). Different adaptations options could be used with RAPs then maize yield would be increased by 15%.Landcover classification of maize were done by Machine Learning algorithms which estimate 14% less area reported by Reporting Service (CRS) of Punjab Pakistan for 2015 and 2016. For yield forecasting, seasonal multitemporal, a total of 8 LST and NDVI values for 64 farms were taken to develop model. Model was used to predict the yield of previous 10 year (2007-2016) which showed a high accuracy with mean % error of 1.25. Seasonal mean Tmax and Tmin of 10 years with predicted yield showed a negative relationship with Tmax. (R2= 0.76) and Tmin. (R2= 0.69). It can be concluded from the study that modern tools are very helpful to optimize input resources to ensure food security.