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Morphology controlled facile synthesis of MnO2 adsorbents for rapid strontium removal
Umar Asim,Syed M. Husnain,Naseem Abbas,Faisal Shahzad,Abdul Rehman Khan,Tahir Ali 한국공업화학회 2021 Journal of Industrial and Engineering Chemistry Vol.98 No.-
MnO2 nanostructures with three distinct architectures, namelyflower, balk and tube-like, have beensynthesized through a single step microwave assisted hydrothermal method at different reactiontemperatures (110 C, 140 C and 180 C). The characterization of as prepared MnO2 samples wereperformed by means of Fourier transform infrared spectroscopy, X-ray diffraction, scanning electronmicroscopy, and transmission electron microscopy. The N2 adsorption–desorption isotherms revealedthe higher specific surface area and porosity of theflower like MnO2 as compared to balk and tube-likeMnO2. The adsorption behavior of as prepared adsorbents was investigated towards Sr2+ radionuclide. Because of the hierarchal structure and the high surface area (62.64 m2/g), MnO2-110 depicted the bestSr2+ adsorption performance with maximum adsorption capacity of 52 mg/g at pH 6 as compared to otherMnO2 morphologies synthesized at 140 C and 180 C. The kinetic studies revealed that the adsorption ofSr2+ onto MnO2-110 followed the pseudo-first-order model whereas the adsorption equilibrium dataobeyed the Freundlich and Sips model. Moreover, the MnO2-110 adsorbent reached the steady statequickly ( 10 min) and is capable to bind Sr2+ in slightly acidic to alkaline solutions.
M. Syed Ali,K. Meenakshi,주영훈 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.4
This paper deals with the problem of finite-time H∞ filtering for discrete-time Markovian jump BAM neural networks with time-varying delays. To do this, firstly by choosing a suitable Lyapunov function and using Jensen inequality lemma, sufficient criteria are derived to guarantee that the resulting filtering error system is finitetime bounded. And then the gain matrices of the controller and filter are achieved by solving a feasibility problem in terms of linear matrix inequalities with a fixed parameter. Moreover, we assume that disturbances are described by the jumping parameters are generated from discrete-time homogeneous Markov process. Finally a numerical example is presented to show the effectiveness of the proposed method.
M. Syed Ali,K. Meenakshi,N. Gunasekaran 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.6
The problem of finite-time H∞ performance of discrete time neural network with norm-bounded disturbancesand time varying delays is studied in this paper. By constructing a delay-dependent Lyapunov-Krasovskiifunctional and using a two-term approximation of the time-varying delay, sufficient conditions of finite-time stabilityare derived and expressed in terms of linear matrix inequalities (LMIs). The derived stability conditions canbe applied into analyzing the finite-time stability and deriving the maximally tolerable delay. Comparision withthe existing results given to show that, the derived stability conditions are less conservative. Finally, numericalexamples are provided to illustrate the effectiveness of the proposed method.
M. Syed Ali,R. Agalya,Sumit Saroha,Tareq Saeed 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.7
This paper inspects the consensus problem of nonlinear mixed delay multi-agent systems with random packet losses through the sampled-data control using the undirected graph without any specified leader for the other following agents. The probabilistic time varying delay is taken in the control input delay that Bernoulli distributed white sequence is engaged to formulate the random packet losses between the agents. The consensus problem can be changed over into a stabilization problem by using the Laplacian matrix which can be obtained by undirected graph. By framing a Lyapunov-Krasovskii functional with triple integral terms and implementation of the property of Kronecker product together with some well known matrix inequality techniques, a mean square consensus for mixed delay multi-agent system can be achieved. Terminally, two numerical examples are provided to illuminate the advantages of the suggested techniques.
Syed A. Ali,Faisal M. Almulla,B. Rabindran Jermy,Abdullah M. Aitani,Raed H. Abudawoud,Mohammed AlAmer,Ziyauddin S. Qureshi,Thamer Mohammad,Hassan S. Alasiri 한국공업화학회 2021 Journal of Industrial and Engineering Chemistry Vol.98 No.-
Hierarchical composites of MCM-41 on zeolite Beta were synthesized by in-situ hydrothermal technique,characterized and their catalytic performance for converting heavy reformate into valuable xylenes wasevaluated. Systematic optimization of the hierarchical pore generation was carried out by varying thestrength of the alkaline solution (0.10 0.45 M NaOH) during disintegration of zeolite Beta. Thenanocomposites obtained were extruded with alumina binder and impregnated with 4.0 wt% Mo. Thecharacterization results indicate the transition of mesophase occurs from distinct disordered phase toordered/disordered and then to ordered mesophase with increasing alkaline concentration. The xyleneyield over the hierarchical composite zeolite was 1.4 times more than the parent zeolite Beta. Incorporation of a well-dispersed mild hydrogenation function (4 wt.% Mo) was advantageous inimproving the xylene yield and selectivity. The formulation prepared with moderately alkaline (0.2 MNaOH) solution exhibited optimum bimodal pore structure and improved dealkylation and transalkylationconversion resulting in a xylene yield of 33.0 wt.% and 1.7 times enhancement in xyleneselectivity over parent zeolite Beta. A 30 h stability test showed steady performance and xylene yields. Hence, a potential application of hierarchical zeolite Beta and MCM-41 composite catalysts for theconversion of heavy aromatics to produce xylenes has been successfully demonstrated.
Finite Time H∞ Boundedness of Discrete-time Markovian Jump Neural Networks with Time-varying Delays
M. Syed Ali,K. Meenakshi,N. Gunasekaran 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.1
This paper is concerned with the problem of finite-time H∞ boundedness of discrete-time Markovian jumping neural netwoks with time-varying delays. A new sufficient condition is presented which guarantees the stability of the closed-loop system and the same time maximizes the boundedness on the non-linearity. An extension of fixed transition probability Markovian model is combined to time-varying transition probabilities has offered. By constructing a novel Lyapunov - Krasovskii functional, the system under consideration is subject to interval timevarying delay and norm-bounded disturbances. Linear matrix inequality approach is used to solve the finite-time stability problem. Numerical example is given to illustrate the effectiveness of the proposed result.
M. Syed Ali,R. Vadivel,권오민 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.3
This paper investigates decentralized event-triggered stability analysis of neutral-type BAM neural networks with Markovian jump parameters and mixed time varying delays. We apply the decentralized event triggered approach to the bidirectional associative memory (BAM) neural networks to reduce the network traffic and the resource of computation. A bidirectional associative memory neural networks is constructed with the mixed time varying delays and Markov process parameters. The criteria for the asymptotically stability are proposed by using with the Lyapunov-Krasovskii functional method, reciprocal convex property and Jensen’s inequality. Stability condition of neutral-type BAM neural networks with Markovian jump parameters and mixed delays is established in terms of linear matrix inequalities. Finally three numerical examples are given to demonstrate the effectiveness of the proposed results.
Modelling Civic Problem-Solving in Smart City Using Knowledge-Based Crowdsourcing
Syed M. Ali Kamal,Nadeem Kafi,Fahad Samad,Hassan Jamil Syed,Muhammad Nauman Durrani International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.8
Smart City is gaining attention with the advancement of Information and Communication Technology (ICT). ICT provides the basis for smart city foundation; enables us to interconnect all the actors of a smart city by supporting the provision of seamless ubiquitous services and Internet of Things. On the other hand, Crowdsourcing has the ability to enable citizens to participate in social and economic development of the city and share their contribution and knowledge while increasing their socio-economic welfare. This paper proposed a hybrid model which is a compound of human computation, machine computation and citizen crowds. This proposed hybrid model uses knowledge-based crowdsourcing that captures collaborative and collective intelligence from the citizen crowds to form democratic knowledge space, which provision solutions in areas of civic innovations. This paper also proposed knowledge-based crowdsourcing framework which manages knowledge activities in the form of human computation tasks and eliminates the complexity of human computation task creation, execution, refinement, quality control and manage knowledge space. The knowledge activities in the form of human computation tasks provide support to existing crowdsourcing system to align their task execution order optimally.
Rare finding of Eustachian tube calcifications with cone-beam computed tomography
Syed, Ali Z.,Hawkins, Anna,Alluri, Leela Subashini,Jadallah, Buthainah,Shahid, Kiran,Landers, Michael,Assaf, Hussein M. Korean Academy of Oral and Maxillofacial Radiology 2017 Imaging Science in Dentistry Vol.47 No.4
Soft tissue calcification is a pathological condition in which calcium and phosphate salts are deposited in the soft tissue organic matrix. This study presents an unusual calcification noted in the cartilaginous portion of the Eustachian tube. A 67-year-old woman presented for dental treatment, specifically for implant placement, and cone-beam computed tomography (CBCT) was performed. The CBCT scan was reviewed by a board-certified oral and maxillofacial radiologist and revealed incidental findings of 2 distinct calcifications in the cartilaginous portion of the Eustachian tube. To the authors' knowledge, no previous study has reported the diagnosis of Eustachian tube calcification using CBCT. This report describes an uncommon variant of Eustachian tube calcification, which has a significant didactic value because such cases are seldom illustrated either in textbooks or in the literature. This case once again underscores the importance of having CBCT scans evaluated by a board-certified oral and maxillofacial radiologist.
Rare finding of Eustachian tube calcifications with cone-beam computed tomography
Ali Z. Syed,Anna Hawkins,Leela Subashini Alluri,Buthainah Jadallah,Kiran Shahid,Michael Landers,Hussein M. Assaf 대한영상치의학회 2017 Imaging Science in Dentistry Vol.47 No.4
Soft tissue calcification is a pathological condition in which calcium and phosphate salts are deposited in the soft tissue organic matrix. This study presents an unusual calcification noted in the cartilaginous portion of the Eustachian tube. A 67-year-old woman presented for dental treatment, specifically for implant placement, and conebeam computed tomography (CBCT) was performed. The CBCT scan was reviewed by a board-certified oral and maxillofacial radiologist and revealed incidental findings of 2 distinct calcifications in the cartilaginous portion of the Eustachian tube. To the authors’ knowledge, no previous study has reported the diagnosis of Eustachian tube calcification using CBCT. This report describes an uncommon variant of Eustachian tube calcification, which has a significant didactic value because such cases are seldom illustrated either in textbooks or in the literature. This case once again underscores the importance of having CBCT scans evaluated by a board-certified oral and maxillofacial radiologist.