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Enhanced Magnetic Moment of Epitaxial Υ´-Fe<sub>4</sub>N Films at Low Temperature
Shahid Atiq,Murtaza Saleem,Shahid M. Ramay,Saadat A. Siddiqi,M. Sabieh Anwar,신성철 한국물리학회 2012 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.60 No.10
Ferromagnetic iron nitride has fascinated the researchers owing to its amazing magnetic properties for spintronic applications. We have prepared single phase epitaxial thin films of Υ´-Fe<sub>4</sub>N on single crystal MgO(100) substrates using dc magnetron sputtering. X-ray diffraction revealed that substrate temperature and annealing time were most important parameters for single phase epitaxial growth of the films. Atomic force microscopy and scanning electron microscopy were utilized to investigate the surface morphology of the films. Angle dependent magnetic anisotropy was observed in epitaxial thin films of Υ´-Fe<sub>4</sub>N. A superconducting interference device was utilized to explore the magnetic and electrical behavior of Υ´-Fe<sub>4</sub>N films at low temperatures.
Shahid Ali,Manzar Sohail,Riaz Ahmed,Safyan Akram Khan,Muhammad Shahid Ansari 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.28 No.-
Co@Pt (Co-core, Pt-shell) 4–10 nm sized particles supported on functionalized multi-walled carbonnanotubes (MWCNTs) have been synthesized and tested as efficient catalyst in direct methanol fuel cells(DMFCs). Catalytic activity and durability of all the catalysts for methanol oxidation (MO) have beenstudied in basic medium (0.5 M KOH) using cyclic voltammetry (CV). Chronoamperometry studiesrevealed that Co@Pt/MWCNTs has significantly high efficiency and stability than both Pt/MWCNTs andCo@Pt/MWCNTs catalysts. Mass activity exhibited by Co@Pt/MWCNTs for MO is 1.61 and 3.36 timeshigher than those of Pt–Co/MWCNTs and Pt/MWCNTs, respectively.
Carbon Stock Variation in Different Forest Types of Western Himalaya, Uttarakhand
Shahid, Mohommad,Joshi, Shambhu Prasad Institute of Forest Science 2018 Journal of Forest Science Vol.34 No.2
Quantification of Carbon stock has become in the contest of changing climate and mitigation potential of forests. Two different forest types, Dry Shiwalik Sal Forest and Moist Shiwalik Sal Forest in Barkot and Lachchiwala of Doon Valley, Western Himalaya are selected for the study. Volume equations, destructive sampling and laboratory analysis are done to estimate the carbon stock in different carbon pools like trees, shrubs, herbs and soils. Considerable variations are observed in terms of carbon stocks in different forest types. In Dry Shiwalik Sal Forest, carbon stock density varied between 129.81 and $136.00MgCha^{-1}$ while in Moist Shiwalik Sal Forest, carbon stock density ranged from 222.29 to $271.67MgCha^{-1}$. Tree species like Shorea robusta, Syzigium cumini, Miliusa velutina, Acacia catechu, and Mallotus philippensis had significant role in carbon sequestration. Shorea robusta had contributed highest in carbon stock due to highest density. Total of 2,338,280.165 Mg carbon stock was estimated in all the forest types.
A UML-based Approach towards Test Case Generation and Optimization
Shahid Saleem,Saif U. R. Malik,Bilal Mehboob,Roobaea Alroobaea,Sultan Algarni,Abdullah M. Baqasah,Naveed Ahmad,Muhammad Hasnain 한국인터넷정보학회 2024 KSII Transactions on Internet and Information Syst Vol.18 No.3
Software testing is an important phase as it ensures the software quality. The software testing process comprises of three steps: generation, execution, and evaluation of test cases. Literature claims the usage of single and multiple 'Unified Modeling Language' (UML) diagrams to generate test cases. Using multiple UML diagrams increases test case coverage. However, the existing approaches show limitations in test case generation from UML diagrams. Therefore, in this research study, we propose an approach to generate the test cases using UML State Chart Diagram (SCD), Activity Diagram (AD), and Sequence Diagram (SD). The proposed approach transforms UML diagrams into intermediate forms: SCD Graph, AD Graph, and SD Graph respectively. Furthermore, by integrating these three graphs, a System Testing Graph (STG) is formed. Finally, test cases are identified from STG by using a traversal algorithm such as Depth First Search (DFS) that is an optimization method. The results show that the proposed approach is better compared to existing approaches in terms of coverage and performance. Moreover, the generated test cases have the ability to detect faults at the unit level, integration, and system level testing.
Short Communication Antinociceptive activity of Avicennia officinalis
Shahid, IZ,Karmakar, D,Sadhu, SK,Ahmed, F Kyung Hee Oriental Medicine Research Center 2007 Oriental pharmacy and experimental medicine Vol.7 No.1
The crude ethanol extract of leaves of Avicennia officinalis Linn. (Family: Avicenniaceae) was screened for its antinociceptive activity. The extract produced significant writhing inhibition in acetic acid-induced writhing in mice at the oral dose of 250 and 500 mg/kg body weight (P < 0.001) comparable to the standard drug diclofenac sodium at the dose of 25 mg/kg of body weight. The result tends to suggest the antinociceptive activity of the extract.
A Smart Framework for Mobile Botnet Detection Using Static Analysis
( Shahid Anwar ),( Mohamad Fadli Zolkipli ),( Vitaliy Mezhuyev ),( Zakira Inayat ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.6
Botnets have become one of the most significant threats to Internet-connected smartphones. A botnet is a combination of infected devices communicating through a command server under the control of botmaster for malicious purposes. Nowadays, the number and variety of botnets attacks have increased drastically, especially on the Android platform. Severe network disruptions through massive coordinated attacks result in large financial and ethical losses. The increase in the number of botnet attacks brings the challenges for detection of harmful software. This study proposes a smart framework for mobile botnet detection using static analysis. This technique combines permissions, activities, broadcast receivers, background services, API and uses the machine-learning algorithm to detect mobile botnets applications. The prototype was implemented and used to validate the performance, accuracy, and scalability of the proposed framework by evaluating 3000 android applications. The obtained results show the proposed framework obtained 98.20% accuracy with a low 0.1140 false-positive rate.
Inequalities of extended $(p,q)$-beta and confluent hypergeometric functions
Shahid Mubeen,Kottakkaran Sooppy Nisar,Gauhar Rahman,Muhammad Arshad 호남수학회 2019 호남수학학술지 Vol.41 No.4
In this paper, we establish the log convexity and Tur\'{a}n type inequalities of extended $(p,q)$-beta functions. Likewise, we present the log-convexity, the monotonicity and Tur\'{a}n type inequalities for extended $(p,q)$-confluent hypergeometric function by utilizing the inequalities of extended $(p,q)$-beta functions.