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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.
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.
Dengue Virus Serotypes Circulating in Khyber Pakhtunkhwa Province, Pakistan, 2013-2015
Muhammad Suleman,Rani Faryal,Muhammad Masroor Alam,Salmaan Sharif,Shahzad Shaukat,Uzma Bashir Aamir,Adnan Khurshid,Mehar Angez,Massab Umair,Mian Muhammad Sufian,Yasir Arshad,Syed Sohail Zahoor Zaidi 대한진단검사의학회 2017 Annals of Laboratory Medicine Vol.37 No.2
From 2013 to 2015, the National Institute of Health, Pakistan, received 1,270 blood samples of suspected dengue cases reported from inpatient and outpatient departments of various hospitals in Khyber Pakhtunkhwa (KPK) province. In this study, we determined the circulating dengue virus (DENV) serotypes using real-time reverse transcriptase (RT)-PCR to understand the serotype-based epidemiology of DENV. All four serotypes (DENV-1 [6%], DENV-2 [33%], DENV-3 [47%], and DENV-4 [0.1%]) were found circulating during the study period. Our findings suggest the need for an active surveillance system coupled with the laboratory diagnosis, especially in the chronic endemic areas of the country. Public awareness programs are needed for effective control and prevention of outbreaks in the future.
Muhammad TABISH,Muhammad Adnan BASHIR,Muhammad Mansoor ALAM,Zalizah Awang LONG,Mohd. Khairil RAHMAT 한국유통과학회 2022 The Journal of Asian Finance, Economics and Busine Vol.9 No.3
The purpose of this study is to examine the role of virtual community participation and engagement in the brand decision by building community and brand trust. In this study, two theories (Social Capital Theory and Theory of Collective Action) were tested. Both theories were linked based on existing literature, and empirical evidence was obtained through testing hypotheses. Students from five prestigious Pakistani business schools provided a total of 849 replies. The measurement model and structural model were both analyzed using the partial least square (PLS) method. The findings show that virtual community engagement and participation have a positive and significant impact on virtual community trust. Although virtual community engagement has a positive effect on brand trust, we found no evidence of a link between virtual community participation and brand trust. Later, these trusts positively influence brand choice. This study has several managerial implications. The suggested model of this study helps managers to get customers’ insight, choose the right target market, and set integrated marketing communication strategies besides social media marketing strategies. The study represents a new perspective of consumer behavior that helps to understand how a customer behaves in virtual communities to trust and take the final decision to purchase.
Challenges and Issues of Resource Allocation Techniques in Cloud Computing
( Adnan Abid ),( Muhammad Faraz Manzoor ),( Muhammad Shoaib Farooq ),( Uzma Farooq ),( Muzammil Hussain ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.7
In a cloud computing paradigm, allocation of various virtualized ICT resources is a complex problem due to the presence of heterogeneous application (MapReduce, content delivery and networks web applications) workloads having contentious allocation requirements in terms of ICT resource capacities (resource utilization, execution time, response time, etc.). This task of resource allocation becomes more challenging due to finite available resources and increasing consumer demands. Therefore, many unique models and techniques have been proposed to allocate resources efficiently. However, there is no published research available in this domain that clearly address this research problem and provides research taxonomy for classification of resource allocation techniques including strategic, target resources, optimization, scheduling and power. Hence, the main aim of this paper is to identify open challenges faced by the cloud service provider related to allocation of resource such as servers, storage and networks in cloud computing. More than 70 articles, between year 2007 and 2020, related to resource allocation in cloud computing have been shortlisted through a structured mechanism and are reviewed under clearly defined objectives. Lastly, the evolution of research in resource allocation techniques has also been discussed along with salient future directions in this area.
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.
Muhammad Asif Hussain,최은주,Adnan Maqbool,Muhammad Atif,Hassan Zeb,여재구,유정아,조영훈,Moses Noh,김정원 한국공업화학회 2021 Journal of Industrial and Engineering Chemistry Vol.99 No.-
A facile eco-friendly heterogeneous catalytic system has been developed for amide synthesis that furtherutilized in pharmaceutical and organic chemistry. The Ru/MnO2 catalyst has shown outstanding andunprecedented activity for a wide range of aliphatic and benzylic nitriles in green solvent water at 60 C. The system has also exhibited a remarkable tolerance for selective hydration of heteroatom (e.g. nitrogen,oxygen and sulphur atoms) containing nitriles. Pharmaceutically important nicotinamides andpyrazinamide has been synthesized by hydration of the heteroatomic nitriles with appreciable yieldsand selectivities. Moreover, the Ru/MnO2 catalyst has employed water as a benign solvent, with morethan 30,000 TONs and reusabilityfive times after isolation from the reaction mixture by centrifugationand easy workup that established a path for green environmental and technologically acceptableprotocol.
Muhammad Yasir Mehboob,Riaz Hussain,Zobia Irshad,Muhammad Adnan 대한화학회 2021 Bulletin of the Korean Chemical Society Vol.42 No.4
Efficient hole transport materials for solar cell applications are gained huge intension of every scientist. Hole transport materials play a dominant role in solar cells as they provide high power conversion efficiency along with low cost, less toxic, and easy synthesis routs. Motivates from valuable literature, here efforts are being made to designed new novel hole transport materials for solar cell applications. Five new and highly efficient hole transport molecules (BT1–BT5) are designed after end-capped donor modifications of recently synthesized B3 (R) molecule. The photovoltaic, optoelectronic, and structural-property relationship of all designed molecules are extensively studied while using density functional theory and time-dependent density functional theory at MPW1PW91/6-31G(d,p) basis set. Low reorganizational energy of hole is observed in all designed molecules as compared to reference molecule which suggested that designed molecules have high hole mobility as compared to R molecule. Red-shifting in absorption spectrum of designed molecules (as compared to reference molecule) is also seen which offer high power conversion efficiency and high excited highest occupied molecular orbital to lowest unoccupied molecular orbital charge shifting. Low binding and excitation energies are observed in designed molecules. Molecular electrostatic potential, transition density matrix, hole–electron overlap as heat map, open circuit voltage, density of states, and complex study of BT5:PC61BM is also performed for all studied molecule. After all analysis, we believed that our theoretical designed molecules are superior to R molecule, thus we recommend these molecules to experimentalist for future development of highly-efficient solar cells.
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.