TWO STEP ALGORITHM FOR SOLVING REGULARIZED GENERALIZED MIXED VARIATIONAL INEQUALITY PROBLEM

Kazmi, Kaleem Raza,Khan, Faizan Ahmad,Shahza, Mohammad Korean Mathematical Society 2010 대한수학회보 Vol.47 No.4

In this paper, we consider a new class of regularized (nonconvex) generalized mixed variational inequality problems in real Hilbert space. We give the concepts of partially relaxed strongly mixed monotone and partially relaxed strongly $\theta$-pseudomonotone mappings, which are extension of the concepts given by Xia and Ding [19], Noor [13] and Kazmi et al. [9]. Further we use the auxiliary principle technique to suggest a two-step iterative algorithm for solving regularized (nonconvex) generalized mixed variational inequality problem. We prove that the convergence of the iterative algorithm requires only the continuity, partially relaxed strongly mixed monotonicity and partially relaxed strongly $\theta$-pseudomonotonicity. The theorems presented in this paper represent improvement and generalization of the previously known results for solving equilibrium problems and variational inequality problems involving the nonconvex (convex) sets, see for example Noor [13], Pang et al. [14], and Xia and Ding [19].

Heating load depreciation in the solvent-regeneration step of absorption-based acid gas removal using an ionic liquid with an imidazolium-based cation

Kazmi, Bilal,Haider, Junaid,Qyyum, Muhammad Abdul,Saeed, Saad,Kazmi, Mohib Raza,Lee, Moonyong Elsevier 2019 International journal of greenhouse gas control Vol.87 No.-

<P><B>Abstract</B></P> <P>Natural gas is a cleaner energy source compared to other fossil-based energy sources owing to its low emissions. However, natural gas contains acidic gases (including CO<SUB>2</SUB> and H<SUB>2</SUB>S), which may cause equipment corrosion and environmental damage. To date, amine-based absorption techniques have been used to remove acidic gases from natural gas to reach regulated concentration limits. However, a tremendous amount of heating is required to regenerate amine-based solvents, which remains a major issue with traditional absorption-based acid gas removal units. In this context, 1-butyl-3-methyimidazolium methyl sulfate (bmim)(CH<SUB>3</SUB>SO<SUB>4</SUB>) and 1-butyl-3-methylimidazolium hexafluorophosphate (bmim)(PF<SUB>6</SUB>) were adopted as potential solvents for reducing the heating requirements in the solvent-regeneration step of absorption-based removal techniques. This study shows that by using the imidazolium-based cationic IL, up to 99 wt% of acid gases can be removed while dramatically reducing the heating load and the total annualized cost compared to conventional amine-based absorption units. Flash-based solvent regeneration was used to recover the solvent with a heating loading value of 3978 kW, which is 78.6% lower than that of conventional amine regeneration strippers. Use of only flash column instead of stripper also makes the proposed ionic liquid-based absorption technique most economical with respect to capital investment.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Simultaneously removal of H<SUB>2</SUB>S and CO<SUB>2</SUB>. </LI> <LI> Amines-based solvents are replaced with Imidazolium-based Ionic liquids. </LI> <LI> Thermal energy minimization in solvent regeneration step for acid gas removal. </LI> <LI> Thermal energy is reduced up to 78.6%. </LI> <LI> Total annualized cost is saved up to 59.8%. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

TWO STEP ALGORITHM FOR SOLVING REGULARIZED GENERALIZED MIXED VARIATIONAL INEQUALITY PROBLEM

Kaleem Raza Kazmi,Faizan Ahmad Khan,Mohammad Shahza 대한수학회 2010 대한수학회보 Vol.47 No.4

In this paper, we consider a new class of regularized (nonconvex)generalized mixed variational inequality problems in real Hilbert space. We give the concepts of partially relaxed strongly mixed monotone and partially relaxed strongly Θ-pseudomonotone mappings, which are extension of the concepts given by Xia and Ding [19], Noor [13] and Kazmi et al. [9]. Further we use the auxiliary principle technique to suggest a two-step iterative algorithm for solving regularized (nonconvex)generalized mixed variational inequality problem. We prove that the convergence of the iterative algorithm requires only the continuity, partially relaxed strongly mixed monotonicity and partially relaxed strongly Θ-pseudomonotonicity. The theorems presented in this paper represent improvement and generalization of the previously known results for solving equilibrium problems and variational inequality problems involving the nonconvex (convex) sets, see for example Noor [13], Pang et al. [14],and Xia and Ding [19].

Voltage Stability Index for Distribution Network connected in Loop Configuration

Kazmi, Syed Ali Abbas,Shahzaad, Muhammad K.,Shin, Dong Ryeol Taylor Francis 2017 IETE journal of research Vol.63 No.2

Hierarchical Matching Game for Service Selection and Resource Purchasing in Wireless Network Virtualization

Kazmi, S. M. Ahsan,Tran, Nguyen H.,Ho, Tai Manh,Hong, Choong Seon IEEE 2018 IEEE communications letters Vol.22 No.1

<P>Wireless network virtualization is identified as one of the key enabling technologies to bring fifth-generation networks into fruition. In this letter, we model the service selection and resource purchasing problem as a two-stage combinatorial optimization problem. To solve this problem, we propose a hierarchical matching game-based scheme, which satisfies the efficient resource allocation and strict isolation requirements. Simulation results show that our proposal outperforms the fixed sharing approach by 32% and achieves up to 97% of performance obtained by the optimal approach (general sharing scheme) in terms of average sum rate.</P>

SENSITIVITY ANALYSIS FOR SYSTEM OF PARAMETRIC GENERALIZED QUASI-VARIATIONAL INCLUSIONS INVOLVING R-ACCRETIVE MAPPINGS

Kazmi, Kaleem Raza,Khan, Faizan Ahmad,Ahmad, Naeem Korean Mathematical Society 2009 대한수학회지 Vol.46 No.6

In this paper, using proximal-point mappings technique of Raccretive mappings and the property of the fixed point set of set-valued contractive mappings, we study the behavior and sensitivity analysis of the solution set of the system of parametric generalized quasi-variational inclusions involving R-accretive mappings in real uniformly smooth Banach space. Further under suitable conditions, we discuss the Lipschitz continuity of the solution set with respect to parameters. The technique and results presented in this paper can be viewed as extension of the techniques and corresponding results given in [3, 23, 24, 32, 33, 34].

<i>In silico</i> approaches and tools for the prediction of drug metabolism and fate: A review

Kazmi, Sayada Reemsha,Jun, Ren,Yu, Myeong-Sang,Jung, Chanjin,Na, Dokyun Elsevier 2019 Computers in biology and medicine Vol.106 No.-

<P><B>Abstract</B></P> <P>The fate of administered drugs is largely influenced by their metabolism. For example, endogenous enzyme–catalyzed conversion of drugs may result in therapeutic inactivation or activation or may transform the drugs into toxic chemical compounds. This highlights the importance of drug metabolism in drug discovery and development, and accounts for the wide variety of experimental technologies that provide insights into the fate of drugs. In view of the high cost of traditional drug development, a number of computational approaches have been developed for predicting the metabolic fate of drug candidates, allowing for screening of large numbers of chemical compounds and then identifying a small number of promising candidates. In this review, we introduce <I>in silico</I> approaches and tools that have been developed to predict drug metabolism and fate, and assess their potential to facilitate the virtual discovery of promising drug candidates. We also provide a brief description of various recent models for predicting different aspects of enzyme-drug reactions and provide a list of recent <I>in silico</I> tools used for drug metabolism prediction.</P> <P><B>Highlights</B></P> <P> <UL> <LI> <I>In silico</I> approaches and tools for predicting drug metabolism and fate are reviewed. </LI> <LI> QSAR, machine learning, and computational docking/molecular dynamics are described. </LI> <LI> Computational models for predicting metabolic enzymatic reactions are summarized. </LI> <LI> A list of tools for <I>in silico</I> prediction is provided. </LI> <LI> Concerns and limitations of predictive model construction are outlined. </LI> </UL> </P>

Bio-tar production by liquefaction of Kraft lignin in super- and subcritical solvents

( Kazmi Wajahat Waheed ),( Asim Riaz ),이인구 한국공업화학회 2019 한국공업화학회 연구논문 초록집 Vol.2019 No.1

Lignin which is one of three major components consisting of lignocellulosic biomass is generated about 7 million ton annually from pulping mills. Recently lignin has received high attention as a source for the production of energy and/or value-added chemicals. Among the technologies under development, liquefaction is considered the most favorite route for the production of high quality biofuel or valuable chemicals from technical lignins like Kraft lignin. In this work, lignin residue obtained from a Kraft pulping process was used for production of bio-tar that can be used as a precursor for carbon fiber via bio-pitch formation. The effect of liquefaction parameters such as temperature, reaction time and kind of solvent on the conversion of lignin in superand subcritical solvents was investigated. The characterization of liquefaction products was also carried out by GC, GC-MS, TGA, proximate, and ultimate Analyses.

Mode Selection and Resource Allocation in Device-to-Device Communications: A Matching Game Approach

Kazmi, S. M. Ahsan,Tran, Nguyen H.,Saad, Walid,Han, Zhu,Ho, Tai Manh,Oo, Thant Zin,Hong, Choong Seon IEEE Computer Society 2017 IEEE TRANSACTIONS ON MOBILE COMPUTING Vol.16 No.11

<P>Device to device (D2D) communication is considered as an effective technology for enhancing the spectral efficiency and network throughput of existing cellular networks. However, enabling it in an underlay fashion poses a significant challenge pertaining to interference management. In this paper, mode selection and resource allocation for an underlay D2D network is studied while simultaneously providing interference management. The problem is formulated as a combinatorial optimization problem whose objective is to maximize the utility of all D2D pairs. To solve this problem, a learning framework is proposed based on a problem-specific Markov chain. From the local balance equation of the designed Markov chain, the transition probabilities are derived for distributed implementation. Then, a novel two phase algorithm is developed to perform mode selection and resource allocation in the respective phases. This algorithm is then shown to converge to a near optimal solution. Moreover, to reduce the computation in the learning framework, two resource allocation algorithms based on matching theory are proposed to output a specific and deterministic solution. The first algorithm employs the one-to-one matching game approach whereas in the second algorithm, the one-to many matching game with externalities and dynamic quota is employed. Simulation results show that the proposed framework converges to a near optimal solution under all scenarios with probability one. Moreover, our results show that the proposed matching game with externalities achieves a performance gain of up to 35 percent in terms of the average utility compared to a classical matching scheme with no externalities.</P>

Biosorption of copper(II) on prunus amygdalus shell: Characterization, biosorbent size analysis, kinetic, equilibrium and mechanistic studies

Mohsin Kazmi,Nadeem Feroze,Shahid Naveed,Syed Hassan Javed 한국화학공학회 2011 Korean Journal of Chemical Engineering Vol.28 No.10

Deletion of Cu(II) from synthetic solution was investigated using ground Prunus Amygdalus shell (GPAS). FTIR revealed the probable functional groups for the binding of Cu(II). XRD revealed amorphous nature of the GPAS. SEM analysis furnished microscopic details of GPAS. GPAS size analysis was done using seven ASTM screens and three mean diameters, namely mass mean, volume mean and volume surface mean diameters. Kinetic study consisted of pseudo-first and pseudo-second order kinetics. Langmuir and Freundlich isotherms were used to elucidate the isotherm study of uptake of Cu(II) onto GPAS. Trend of Scatchard was used to verify the applicability of the Freundlich model, while D-R model helped to determine the nature of biosorption. A detailed analysis for rate controlling step was made. Various mean diameters were used to estimate the diffusion coefficient for the biosorption of Cu(II) onto GPAS.