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Muhammad Ahsan Sami,Muhammad Umar Masood,Muhammad Waqar,Muhammad Mujtaba,Abrahim Ali Shah,Nasir Rashid,Mohsin I. Tiwana,Javaid Iqbal,Adnan Shujah 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10
This paper presents an application of a novel approach for detecting and tracking an object with a 2 DOF robotic manipulator which can be equipped with an array of electrically controlled actuators. The said approach utilizes the Image Based Visual Servoing (IBVS) technique. The developed system is able to determine the object pose in real time from features in the image. Object is detected using shaped based approach algorithms of image processing. The position and orientation of the world coordinates of the object being tracked are calculated from the coordinates of the object in image plane using camera’s intrinsic and extrinsic parameters. Experimental results demonstrate the effectiveness of this proposed approach.
A comparative study of linear control strategies on the aerodynamics twin rotor system
Adnan Qayyum Shah,Muhammad Awais,Muhammad Zafar,Ashfaq Ahmed,Muhammad Mudassar,Muhammad Muneer,Memoona Saif,Abdul Razzaq,Seong Ho Jang,김선형,박영권 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.8
This work presents the comparative study among pole-placement (PP), optimalcontrol using output-feedback (OCOF), linear-quadratic regulator (LQR), and PID controllers for the twin rotor multi-input multi-output system (TRMS). The pitch and yaw are key attributes for stabilizing the TRMS MIMO system and control of flight. The main objective of this study is to use these classical controller techniques to monitor the pitch and yaw angles of TRMS and show the result of these techniques. Simulation results depicts the actual performance and reveals how PP outperforms the other techniques.
Variability and Predictability of Summer Monsoon Rainfall over Pakistan
Adnan Muhammad,Khan Firdos,Rehman Nadia,Ali Shaukat,Hassan Sher Shah,Dogar Muhammad Mubashar,Mehmood Shahbaz,Hasson Shabehul 한국기상학회 2021 Asia-Pacific Journal of Atmospheric Sciences Vol.57 No.1
Rainfall variability associated with the South Asian Summer Monsoon has increased in recent decades, particularly at the northwestern monsoon margins over Pakistan, leading to more frequent and intense hydro-meteorological extremes that have adversely affected the agrarian economy, water and food security in the country. Devising effective strategies to ensure sustainable development in Pakistan thus requires that the monsoonal rainfall be predicted on an inter-annual scale. Here, we predicted the inter- and intra-annual variability of the monsoonal rainfall over Pakistan and its possible drivers using a linear statistical forecast model of the principal component (PC) regression analysis. For this purpose, highly correlated PCs of the National Centre for Environmental Prediction (NCEP) based sea level pressure, horizontal and meridional winds to the observed rainfall for the period 2001–2013 were ingested in a stepwise multiple regression model, which was further validated for the duration of 2014–2015. Our results suggest that featuring correlation coefficient, mean absolute error, mean bias, and root mean square error of 0.75, 42.23, −14.92 and 60.65, respectively, the model exhibits robust skill in predicting the inter-annual monsoonal rainfall variability at its extreme northwestern margins over Pakistan.
Social Network Analysis of an Online Smoking Cessation Community to Identify Users’ Smoking Status
Adnan Muhammad Shah,Xiangbin Yan,Abdul Qayyum 대한의료정보학회 2021 Healthcare Informatics Research Vol.27 No.2
Objectives: Users share valuable information through online smoking cessation communities (OSCCs), which help peoplemaintain and improve smoking cessation behavior. Although OSCC utilization is common among smokers, limitations existin identifying the smoking status of OSCC users (“quit” vs. “not quit”). Thus, the current study implicitly analyzed user-generatedcontent (UGC) to identify individual users’ smoking status through advanced computational methods and real datafrom an OSCC. Methods: Secondary data analysis was conducted using data from 3,833 users of BcomeAnEX.org. Domainexperts reviewed posts and comments to determine the authors’ smoking status when they wrote them. Seven types of featuresets were extracted from UGC (textual, Doc2Vec, social influence, domain-specific, author-based, and thread-based features,as well as adjacent posts). Results: Introducing novel features boosted smoking status recognition (quit vs. not quit) by 9.3%relative to the use of text-only post features. Furthermore, advanced computational methods outperformed baseline algorithmsacross all models and increased the smoking status prediction performance by up to 12%. Conclusions: The results ofthis study suggest that the current research method provides a valuable platform for researchers involved in online cessationinterventions and furnishes a framework for on-going machine learning applications. The results may help practitioners designa sustainable real-time intervention via personalized post recommendations in OSCCs. A major limitation is that onlyusers’ smoking status was detected. Future research might involve programming machine learning classification methods toidentify abstinence duration using larger datasets.
Abbasi, Muhammad Athar,Hassan, Mubashir,ur-Rehman, Aziz,Siddiqui, Sabahat Zahra,Hussain, Ghulam,Shah, Syed Adnan Ali,Ashraf, Muhammad,Shahid, Muhammad,Seo, Sung Yum Elsevier 2018 Computational biology and chemistry Vol.77 No.-
<P><B>Abstract</B></P> <P>The heterocyclic compounds have been extensively reported for their bioactivity potential. The current research work reports the synthesis of some new multi-functional derivatives of 2-furoic piperazide (<B>1</B>; 1-(2-furoyl)piperazine). The synthesis was initiated by reacting the starting compound <B>1</B> with 3,5-dichloro-2-hydroxybenzenesulfonyl chloride (<B>2</B>) in a basic, polar and protic medium to obtain the parent sulfonamide <B>3</B> which was then treated with different electrophiles, <B>4a–g</B>, in a polar and aprotic medium to acquire the designed molecules, <B>5a</B>–<B>g</B>. These convergent derivatives were evaluated for their inhibitory potential against <I>α</I>-glucosidase, acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) enzymes. Acarbose was used as a reference standard for <I>α</I>-glucosidase inhibition while eserine for AChE and BChE inhibition. Some of the synthesized compounds were identified as promising inhibitors of these three enzymes and their bioactivity potentials were also supported by molecular docking study. The most active compounds among the synthetic analogues might be helpful in drug discovery and development for the treatment of type 2 diabetes and Alzhiemer’s diseases.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Synthesis of multi-functional 2-furoic piperazide derivatives. </LI> <LI> Enzyme inhibitory studies against different enzymes. </LI> <LI> Computational studies to augment the <I>in vitro</I> results. </LI> <LI> Suitable therapeutic agents for type 2 diabetes and Alzheimer’s disease. </LI> <LI> Mild hemolytic agents toward red blood cell membrane. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
Abbasi, Muhammad Athar,Hassan, Mubashir,Aziz-ur-Rehman, Mubashir,Siddiqui, Sabahat Zahra,Raza, Hussain,Shah, Syed Adnan Ali,Seo, Sung-Yum Elsevier 2018 Bioorganic & medicinal chemistry Vol.26 No.13
<P><B>Abstract</B></P> <P>The present article describes the synthesis, <I>in vitro</I> urease inhibition and <I>in silico</I> molecular docking studies of a novel series of bi-heterocyclic bi-amides. The synthesis of title compounds was initiated by benzoylation, with benzoyl chloride (<B>1</B>), of the key starter ethyl 2-(2-amino-1,3-thiazol-4-yl)acetate (<B>2</B>) in weak basic aqueous medium followed by hydrazide formation, <B>4</B>, and cyclization with CS<SUB>2</SUB> to reach the parent bi-heterocyclic nucleophile, <I>N</I>-{4-[(5-sulfanyl-1,3,4-oxadiazol-2-yl)methyl]-1,3-thiazol-2-yl}benzamide (<B>5</B>). Various electrophiles, <B>8a–l</B>, were synthesized by a two-step process and these were finally coupled with <B>5</B> to yield the targeted bi-heterocyclic bi-amide molecules, <B>9a–l</B>. The structures of the newly synthesized products were corroborated by IR, <SUP>1</SUP>H NMR, <SUP>13</SUP>C NMR, EI-MS and elemental analysis. The <I>in vitro</I> screening of these molecules against urease explored that most of the compounds exhibit potent inhibitory potential against this enzyme. The compound <B>9j</B>, with IC<SUB>50</SUB> value of 2.58 ± 0.02 µM, exhibited most promising inhibitory activity among the series, relative to standard thiourea having IC<SUB>50</SUB> value of 21.11 ± 0.12 µM. <I>In silico</I> studies fully augmented the experimental enzyme inhibition results. Chemo-informatics analysis showed that synthesized compounds (<B>9a–l</B>) mostly obeyed the Lipinski's rule. Molecular docking study suggested that ligand <B>9j</B> exhibited good binding energy value (−7.10 kcal/mol) and binds within the active region of target protein. So, on the basis of present investigation, it was inferred that <B>9j</B> may serve as a novel scaffold for designing more potent urease inhibitors.</P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
Conversion of waste polystyrene through catalytic degradation into valuable products
Jasmin Shah,Muhammad Rasul Jan,Adnan 한국화학공학회 2014 Korean Journal of Chemical Engineering Vol.31 No.8
Waste expanded polystyrene (EPS) represents a source of valuable chemical products like styrene andother aromatics. The catalytic degradation was carried out in a batch reactor with a mixture of polystyrene (PS) andcatalyst at 450 oC for 30 min in case of Mg and at 400 oC for 2 h both for MgO and MgCO3 catalysts. At optimum degradationconditions, EPS was degraded into 82.20±3.80 wt%, 91.60±0.20 wt% and 81.80±0.53 wt% liquid with Mg,MgO and MgCO3 catalysts, respectively. The liquid products obtained were separated into different fractions by fractionaldistillation. The liquid fractions obtained with three catalysts were compared, and characterized using GC-MS. Maximumconversion of EPS into styrene monomer (66.6 wt%) was achieved with Mg catalyst, and an increase in selectivityof compounds was also observed. The major fraction at 145 oC showed the properties of styrene monomer. The resultsshowed that among the catalysts used, Mg was found to be the most effective catalyst for selective conversion intostyrene monomer as value added product.
Catalytic activity of metal impregnated catalysts for degradation of waste polystyrene
Jasmin Shah,Muhammad Rasul Jan,Adnan 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.5
Waste disposal by degradation to selective and desirable products is the major challenge of our modern society. The current study presents cheap, easily achievable, and novel impregnated catalysts on alumina (Al2O3) support for the degradation of waste polystyrene (WPS) into value added products like toluene, ethylbenzene, styrene monomer, and dimer etc. Al2O3 impregnated catalysts were characterized by SEM, XRD, and N2 adsorption/desorption and their catalytic activities were investigated in the degradation of WPS. The WPS degradation experiments were carried out in a batch reactor at 450 ℃. The yield of liquid and styrene monomer was creased with metal impregnated catalysts as compared to nonimpregnated alumina and thermal degradation. Higher yield of liquid and styrene monomer was obtained with 20% Zn–Al2O3 catalyst, 91.54 and 62.88 wt.%, respectively. Impregnation substantially changed the acidity and catalytic properties of alumina in WPS degradation and carbanion may lead to high yield of styrene monomer. The impregnated catalysts performance in terms of high yield of styrene monomer is Zn–Al2O3 > Cu–Al2O3 > Mg–Al2O3 = Al–Al2O3 > Fe–Al2O3 > Al2O3 > thermal.
Athar Abbasi, Muhammad,Raza, Hussain,Aziz-ur-Rehman, Hussain,Zahra Siddiqui, Sabahat,Adnan Ali Shah, Syed,Hassan, Mubashir,Seo, Sung-Yum Elsevier 2019 Bioorganic chemistry Vol.83 No.-
<P><B>Abstract</B></P> <P>Present work aimed to synthesize some unique bi-heterocyclic benzamides as lead compounds for the <I>in vitro</I> inhibition of urease enzyme, followed by <I>in silico</I> studies. These targeted benzamides were synthesized in good yields through a multi-step protocol and their structures were confirmed by IR, <SUP>1</SUP>H NMR, <SUP>13</SUP>C NMR, EI-MS and elemental analysis. The <I>in vitro</I> screening results showed that most of the ligands exhibited good inhibitory potentials against the urease. Chemo-informatics analysis envisaged that all these compounds obeyed the Lipinski's rule. Molecular docking results showed that <B>7h</B> exhibited good binding energy value (−8.40 kcal/mol) and was bound within the active region of urease enzyme. From the present investigation, it was inferred that some of these potent urease inhibitors might serve as novel templates in drug designing.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Synthesis of bi-heterocyclic scaffolds. </LI> <LI> Structural characterization with spectral analysis. </LI> <LI> Urease inhibition and structure-activity relationship. </LI> <LI> Chemo-informatics and validation of Lipinski rule. </LI> <LI> Molecular docking analysis to ascertain interactions. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>