32 research outputs found
بیسویں صدی کا پنجابی زبان و ادب اور ڈاکٹر فقیر محمد فقیر
No full textDr. Faqir Muhammad Faqir is a 20th century renowned poet, author, researcher, critic, historian and above all, a lover of Punjabi language. He rendered valuable services to Punjabi language by compiling classical Punjabi literature along producing new prose and verse. He was given the title of "Father of Punjabi Language" and "The Omer Khayyam of the Punjab" by the literary circles. This article covers his literary contributions to Punjabi language and literature besides determining his status in 20th century Punjabi literati.
The Fana\u27 Concept of Abu Yazid al-Busthomi and Imam Junaid al-Baghdadi (Comparative Study)
No full textThe concept of fana is a concept that developed in the third and fourth centuries hijriyah. A concept of fusion (trance) which later became an experience desired by many Sufism retainers. A Sufistic experience that must be passed and deliver Sufis at the top of the world of Sufism. with the experience that each Sufi feels so that many bring up various differences between one and another, then it also becomes a phenomenon for the fuqoha\u27. Abu Yazid al-Busthomi and Imam Junaid al-Baghdadi were one of the pioneers of the concept of Fana’. With a distinctly different background, between Sufi philosophy and Sunni. So the author takes the initiative and aims to combine the views between the two by examining a character who is balanced against and a character who has many adherents to this day, in order to get a good understanding and similarities or differences in the concept of Fana’\u27. This research uses library research, by means of qualitative analysis. As well as using primary and secondary sources. The results of this study are the concept of Fana’ must be together with the concept of Baqo’, awareness of a person\u27s individuality has disappeared even though his physical form is still there. And to reach the peak of Fana’, the Salikin must leave the nature, character and personality as humans
Analytical Study of Selected Urdu Books Written on Christianity
No full textChristianity is the religion from the Hazrat Essa (A.S) the Holy Prophet of Allah. Christians believe that Christianity is a perfect religion and this religion save them from hell, and this religion is revealed from Allah. Christian knows that their ideology based upon Hazrat Essa (A.S) and they relate themselves towards Hazrat Essa (A.S).
Different books in different languages have written on the Christianity like English, Arabic, Persian and other languages there are many books written on Christianity in Pakistani national language Urdu and the books written in many languages have translated in Urdu.
The analysis put forward on Christianity in Urdu written books, one thing is clear that which author writes a good, topic on Christianity and on the other hand by studying Christianity students and readers feel easy and will understand about these books easily and search the relevant material easily.
This article shows the analytical study of books written on Christianity in Urdu and translation from other languages nominated Urdu books
Performance of blended cement concrete exposed to marine environment
No full textReinforced concrete exposed to the marine environment deteriorates more rapidly. Structures constructed at or near the sea shore have to be repaired more often than comparable structures located elsewhere. This study was carried out to develop an understanding of the performance of concrete made up of cements blended by pozzolanic materials. Several mix designs were formulated, incorporating the pozzolans like slag, fly ash and silica fume and calcium nitrate as the corrosion inhibitor. Mix designs were in accordance with ACI 211-1 and pozzolanic materials were added in accordance with ACI 233 and ACI 234. A number of tests were carried out during the study to compare the performance of samples cast from concrete of different mix designs. Tests conducted during the study were Rapid Migration Test (NT Build 492), Half Cell Potential (ASTM C 876), Absorptivity of the oven-dried samples (ASTM C 642), Compressive Strength Test (ASTM C 39) and Flexural Strength Test (ASTM C 293). Results showed that in almost all cases, use of cements blended with pozzolanic materials resulted in an enhanced performance of the concrete. Use of supplementary cementitious materials (SCM) in concrete provides a sustainable and feasible solution to the durability problems in coastal areas. Replacements of OPC by the pozzolan will not only help in conservation of natural resources, but it will also contribute towards reducing pollution and energy
Analytical Study of Selected Urdu Books about Christianity (Urdu)
No full textChristianity is the religion from the Hazrat Essa (A.S) the Holy Prophet of
Allah. Christians believe that Christianity is a perfect religion and this religion
save them from hell, and this religion is revealed from Allah. Christian knows
that their ideology based upon Hazrat Essa (A.S) and they relate themselves
towards Hazrat Essa (A.S).
Different books in different languages have written on the Christianity like
English, Arabic, Persian and other languages there are many books written on
Christianity in Pakistani national language Urdu and the books written in
many languages have translated in Urdu.
The analysis put forward on Christianity in Urdu written books, one thing is
clear that which author writes a good, topic on Christianity and on the other hand
by studying Christianity students and readers feel easy and will understand about
these books easily and search the relevant material easily.
This article shows the analytical study of books written on Christianity in
Urdu and translation from other languages nominated Urdu books
Making federated learning robust to adversarial attacks by learning data and model association
No full textOne of the key challenges in federated learning (FL) is the detection of malicious parameter updates. In a typical FL setup, the presence of malicious client(s) can potentially demolish the overall training of the shared global model by influencing the aggregation process of the server. In this paper, we present a hybrid learning-based method for the detection of poisoned/malicious parameter updates from malicious clients. Furthermore, to highlight the effectiveness of the proposed method, we provide empirical evidence by evaluating the proposed method against a well-known label flipping attack on three different image classification tasks. The results suggest that our method can effectively detect and discard poisoned parameter updates without causing a significant drop in the performance of the overall learning of the FL paradigm. Our proposed method has achieved an average malicious parameters updates detection accuracy of 97.57%, 92.35%, and 89.42% for image classification task on MNIST, CIFAR, and APTOS diabetic retinopathy (DR) detection. Our method provides a performance gain of approximately 2% as compared to a recent similar state of the art method on MNIST classification and provided a comparable performance on federated extended MNIST (FEMNIST). 2022 The AuthorsThe first and last author would like to acknowledge funding from NCCS Blockchain Lab and Qatar National Library (QNL), respectively. This research project was partially funded by Blockchain Research Lab at Information Technology University (ITU), Lahore, Pakistan. The publication of this article was funded by the Qatar National Library (QNL).Scopu
Demonstration of energy detector performance and spectrum sensing in Cognitive Radio using AWGN, Rayleigh and Nakagami channels
No full textSimulation of Groundwater Flow Dynamics under Different Stresses Using MODFLOW in Rechna Doab, Pakistan
No full textGroundwater is a primary source of freshwater provisions all around the world. Due to its limited availability, water has become a precious entity nowadays. The future accessibility of groundwater is endangered due to its massive exploitation, particularly in the irrigation sector. Therefore, the current study was conducted to assess the declining groundwater levels in Rechna Doab, Punjab, Pakistan, where the aquifer has been reported to be highly stressed. A groundwater flow model was developed using the MODFLOW code of the USGS, and the steady-state model was calibrated for the year 2006, followed by a transient calibration for the years 2006–2010. Finally, the model was validated for 2011–2013, and a new scenario-based approach was used. Multiple future scenarios were developed to simulate the future response of the aquifer under changed recharge and pumping. The hydrodynamics of the groundwater flow was studied for two decades, i.e., up to 2033. The results under the business-as-usual scenario revealed a net gain in water levels in the upper parts of the study area. In contrast, a lowering of water levels was predicted in the central and lower parts. A maximum drop in the water level was anticipated to be 5.17 m, with a maximum gain of 5 m. For Scenario II, which followed the historical trend of pumping, an overall decline in water levels was observed, with a maximum expected drawdown of 15.68 m. However, the proposed water management Scenario III showed a general decrease in the upper study region, with the highest drop being 10.7 m, whereas an overall recovery of 6.87 m in the lower regions was observed. The simulations also suggested that the unconfined aquifer actively responded to the different scenario-based interventions. It was concluded that the region’s aquifer needs immediate action regarding pumping and recharge patterns to avoid a potential increase in pumping costs and to preserve the sustainability of endangered groundwater resources. Moreover, proper groundwater pumping and its policy legislation for its management should be implemented in order to protect this precious resource.Water Resource
Proceedings of ASEAN - Pakistan Conference on Materials Science
No full textDr. Arnir Hussain
Important Factors for high Performance of Composites
Dr Bilal Khan, Dr. Zaffar Khan
Polymer Nanocomposites: Prospects, Potentials and Applications in Aerospace Structures
M Arshad Bashir, Noaman-ul-Haq, Shamshad Ahmed, M Bilal Khan
Synthesis and Mechanical Properties Evaluations of Ablative Materials
Priyo Sardjono, Bambang Prihandoko
Ceramic Graphite Composite as Anode of Lithium Battery
M. Anis-ur-Rehman, S. Nasir, A. Maqsood
Structural, Electrical and Magnetic Studies of Co-precipitated Ni-Co Nano-Ferrites
M Babar Saeed, M Fahim Hashmi
Control Of Thermoplastic Polyimide Properties Through Molecular Architecture
A. Haider, M Shoaib, M Asim, M Farooque
Comparative Investigation of Barium Titanate Ceramics Synthesized by Conventional
Powder and Sol-gel Techniques
Dr. Zaffar. M Khan
The On-Line Condition Monitoring System of Composite Structures Using Fiber Optic Sensors
Muhammad Faisal, Muhammad Shahid
Corrosion behavior of "ASTM A-106 Grade-A carbon steel in amine solutions
under sour conditions.
Mohammad Fuzail, Sabir Ghafoor Alvi, Shamshad Ahmed, Jamil Anwar
Study of the influence of DOP Mobilizer on the Mechanical and Thermal Properties
of the Irradiated Semi-Crystalline Ethylene-Propylene Copolymer
Syed Jawid Askari, Abid Hameed, Usama Umer, Ah Imran Merchant, Noman Danish
The Role of Nucleation Density and Methane Fraction in the Growth of Diamonds
Coatings and Titanium: A Review
Muhammad Mazhar Iqbal, Sajid Raza Ch
Design Optimization and Material Selection for Liquid Propellant Tanks
K Maaz, A. Mashiatullah, R M Qureshi, S. Karim, G. Ali, T. Javed
Morphological studies of NixCol-xFe2O4 ( 1) Magnetic Nanoparticles
M H. Saleh, E.A. Othman, F. Ismail, M Mohammad
Characterization of Nanocrystalline Neodymium Iron Boron (NdFeB) Magnetic Materials.
Nguyen Nang Dinft, Le Ha Chi, Tran Thi Chung Thuy, Hyung-Kook Kim
Characterization of multilayer organic light diodes using nanostructured composite thin films
Amir Habib, Nils stelzer, Roland haubner
Solvothermal synthesis of tetragonal BaTiO3
R.J. Talib, A.H Hashim, M A. Hamid, M R.M Toff , J. J. Mohamed
Mechanical and tribological properties of plasma carbonitrided stainless steel aisi 316
M. Bilal Khan, Saleem Hussain
Enhancement of Mechanical Properties of Kevlar-Epoxy Composite by Improving
the Interface Coupling
Sultan Mahmood, M Bilal Khan, Toqeer Kausar, Faiz -ur- Rehman
Hot Drawing & Characterization of Ultra High Molecular Weight Polyethylene
(UHMWPE) Fibers to Produce High Impact Resistant & Light Weight Armor Composites
Zainul Huda
Recent Developments In Thermal Barrier Coatings (Tbc) On Turbine Blades
And Their Inspection Techniques
Syed J. Ali, Chaudhary J. Omer, Nasir M Ahmad, Christopher J. Barrett, Muhammad I. Sarwar
Novel Functionalized Polymers Containing Photoresponsive Azobenzene
Chromophore: Synthesis and Characterization
A.Quddos, S.M.Hussain, A.Wadood, A.Hayat
Syntheses, Charcterization And Incorporation Of Nanoparticles Into The Polymer Matrix
A.S. Khan, F.S.L.Wong, LU.Rehrnan
Synthesis and in-vitro analysis of a novel bioactive nano-composite
Noaman Ul-Haq, Joong Kon Park, M Bilal Khan, Khairuddin Sanaullah
Chiral Resolution of Phenylalanine using Ultrafiltration Technique by Molecularly
Imprinted Membrane
M. Bilal Khan
Intelligent Viscoelastic Polyurethane Intrinsic Nano Composites
Shamshad Ahmed, M Junaid Afzal, Mazhar Mehmood
Role of Compatibilizers in Improvement of Mechanical and Thermal Properties of EPDM and Polypropylene Blends
Christian Lammel
Induction aided manufacturing of nano-filled polymers and CRF
Fake visual content detection using two-stream convolutional neural networks
No full textRapid progress in adversarial learning has enabled the generation of realistic-looking fake visual content. To distinguish between fake and real visual content, several detection techniques have been proposed. The performance of most of these techniques however drops off significantly if the test and the training data are sampled from different distributions. This motivates efforts towards improving the generalization of fake detectors. Since current fake content generation techniques do not accurately model the frequency spectrum of the natural images, we observe that the frequency spectrum of the fake visual data contains discriminative characteristics that can be used to detect fake content. We also observe that the information captured in the frequency spectrum is different from that of the spatial domain. Using these insights, we propose to complement frequency and spatial domain features using a two-stream convolutional neural network architecture called TwoStreamNet. We demonstrate the improved generalization of the proposed two-stream network to several unseen generation architectures, datasets, and techniques. The proposed detector has demonstrated significant performance improvement compared to the current state-of-the-art fake content detectors with the fusing of frequency and spatial domain streams also improving the generalization of the detector. 2022, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.Scopu
