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Ghulam Hussain Jatoi,Guo Lihua,Yang Xiufen,Muswar Ali Gadhi,Azhar Uddin Keerio,Yusuf Ali Abdulle,Dewen Qiu 한국식물병리학회 2019 Plant Pathology Journal Vol.35 No.3
Here, we reported a novel secreted protein elicitor PeBL2 from Brevibacillus laterosporus A60, which can induce hypersensitive response in tobacco (Nicotiana benthamiana). The ion-exchange chromatography, high-performance liquid chromatography (HPLC) and mass spectrometry were performed for identification of protein elicitor. The 471 bp PeBL2 gene produces a 17.22 kDa protein with 156 amino acids containing an 84-residue signal peptide. Consistent with endogenous protein, the recombinant protein expressed in Escherichia coli induced the typical hypersensitive response (HR) and necrosis in tobacco leaves. Additionally, PeBL2 also triggered early defensive response of generation of reactive oxygen species (H2O2 and O2 -) and systemic resistance against of B. cinerea. Our findings shed new light on a novel strategy for biocontrol using B. laterosporus A60.
Ghulam Hussain,Aminreza Mahna,Asif Iqbal 한국정밀공학회 2016 International Journal of Precision Engineering and Vol.17 No.5
The response surface approach was employed to analyze the influence of process parameters and associated thermal softening on the cold formability of two polymers, namely PVC and PE, in ISF. Three process parameters namely r/to, r/p and ω/f were varied over wide ranges. To know the effect of temperature variations on the ductility of material, thermal softening index was defined as ΔT/mp (ΔT is rise in temperature and mp is melting point of material). The magnitude of this index increased with the increase in the value of considered parameters. Further, for given set of parameters, its value was low for PVC and high for PE. Regarding its influence on forming, it was observed to significantly affect the formability and type of failure. For PVC, the formability increased with an increase in its value; however, for PE, the formability contrarily reduced. Moreover, the failure in the former material (low index and high strength) occurred due to fracture and in the latter (high index and low strength) took place due to wrinkling. These findings led to conclude to attain low softening index for maximizing the formability of soft polymers (say PE) and high index for the high strength polymers (say PVC).
Ghulam Hussain,Gao Lin,Nasir Hayat 대한기계학회 2010 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.24 No.8
A new parameter, blank stiffness, with a potential effect on the formability in single point incremental forming (SPIF) has been introduced and investigated. Various plates with a square hole at the center and half-side length of the square ranging from 12-56mm were used as backing plates for blanks. It is shown that with a decrease in the size of hole/work-piece, there is an increase in the blank stiffness. This increase in the stiffness in turn adversely affects the formability in SPIF process.
Improving profile accuracy in SPIF process through statistical optimization of forming parameters
Ghulam Hussain,Gao Lin,Nasir Hayat 대한기계학회 2011 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.25 No.1
In single-point incremental forming (SPIF) process, a number of parameters are involved and need to be adjusted before the commencement of the forming operation. The inappropriate selection of these parameters could be detrimental to process accuracy. In this paper, the effect of five parameters, namely, sheet thickness, tool radius, step size, wall angle, and pre-straining level of sheet, on the profile accuracy of the produced part of AA1060 with SPIF is experimentally investigated. A response surface method is employed for the experimental design and regression analysis. The experimental results are presented in the form of graphical three-dimensional response surfaces. The results of ANOVA show that the sheet thickness, wall angle, step size, and the interaction between the sheet thickness and wall angle are extremely significant in terms of their effect on profile accuracy. Furthermore, an empirical model is proposed to achieve improved profile accuracy in terms of the optimized parameters.
Pyramid as test geometry to evaluate formability in incremental forming: Recent results
Hussain Ghulam 대한기계학회 2012 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.26 No.8
The present work has been undertaken with an objective to fill the gaps of previous studies and to explore guidelines to standardize the test specimen for evaluating formability with a single specimen in single point incremental forming (SPIF). Two candidate geometries for formability testing (i.e. varying wall angle pyramidal frustum and varying wall angle conical frustum) have been compared by varying geometrical parameters and materials. The critical size in horizontal plane (i.e. half-side length/curvature radius) and critical initial forming angle have been identified and compared for the two geometries. The critical size in horizontal plane has been found to be different for the two geometries. The critical initial forming angle has been found to be same for the two geometries. For various sheet materials,the difference in the formability of VWACF and VWAPF shows a dependence upon the percent reduction in area at tensile fracture.
Qasim, Ghulam Hussain,Lee, Sangwook,Lee, Giehyeon,Lee, Woojin,Hong, Yongseok,Han, Seunghee The Royal Society of Chemistry 2018 Environmental science Vol.4 No.10
<P>A series of batch experiments were conducted to identify the effects of dissolved oxygen (DO) and nitrate on the removal and reduction of Hg(ii) by a pumice supported nanoscale zero-valent iron (p-nZVI) composite. After the adsorption and consecutive reduction of Hg(ii) in an anoxic solution, zero-valent iron, and ferrous and ferric irons were found on the surface of the p-nZVI with a chain-like structure; while in the oxic solution, a thick ferric shell was found on the surface of the p-nZVI with collapsed chain structures. In Hg(ii) sorption isotherm tests, with 25, 250, 1000, and 2500 nM of Hg(ii), the Hg(ii) sorption capacity of the p-nZVI was 6.1 mg g<SUP>−1</SUP> in the oxic aqueous solution and 1.5 mg g<SUP>−1</SUP> in the anoxic aqueous solution. While the adsorption of Hg(ii) was more favorable in the presence of DO, the headspace Hg(0), as well as dissolved Fe(ii), was largely increased in the absence of DO. The removal of Hg(ii) in oxic and anoxic suspensions was not affected by nitrate levels ranging from 0.08 to 8 mM. In contrast, Hg(0) concentration in headspace increased with an increase of nitrate, which was related to the enhanced dissolved Fe(ii) production. The experimental results of this study suggest that the absence of DO and the presence of nitrate in groundwater could significantly increase Hg(0) in groundwater and adjacent atmosphere during the usual remediation process using relevant nZVI techniques. The effective capture and treatment methods of Hg(0) should be developed for better application of p-nZVI-based technologies.</P>
Jatoi, Ghulam Hussain,Lihua, Guo,Xiufen, Yang,Gadhi, Muswar Ali,Keerio, Azhar Uddin,Abdulle, Yusuf Ali,Qiu, Dewen The Korean Society of Plant Pathology 2019 Plant Pathology Journal Vol.35 No.3
Here, we reported a novel secreted protein elicitor PeBL2 from Brevibacillus laterosporus A60, which can induce hypersensitive response in tobacco (Nicotiana benthamiana). The ion-exchange chromatography, high-performance liquid chromatography (HPLC) and mass spectrometry were performed for identification of protein elicitor. The 471 bp PeBL2 gene produces a 17.22 kDa protein with 156 amino acids containing an 84-residue signal peptide. Consistent with endogenous protein, the recombinant protein expressed in Escherichia coli induced the typical hypersensitive response (HR) and necrosis in tobacco leaves. Additionally, PeBL2 also triggered early defensive response of generation of reactive oxygen species ($H_2O_2$ and $O_2{^-}$) and systemic resistance against of B. cinerea. Our findings shed new light on a novel strategy for biocontrol using B. laterosporus A60.
Dynamic Modeling and Control of DFIG for Wind Energy Conversion System Using Feedback Linearization
Ghulam Sarwar Kaloi,Jie Wang,Mazhar Hussain Baloch 대한전기학회 2016 Journal of Electrical Engineering & Technology Vol.11 No.5
This paper presents a dynamic modeling and control of doubly fed induction-generator (DFIG) based variable speed wind-turbine. The dynamic model of DFIG is incorporated with all system components which provide simple design and controls. The penetration of wind power is increasing into electrical networks, which necessitates more comprehensive studies to recognize the interaction between the wind farms and the power grid. This paper presents the dynamic model of a DFIG based wind turbine connected to the grid system in the dq-synchronous reference frame. In this article, the feedback linearization method has proposed a controller in order to reduce the oscillation and stabilize the wind turbine system parameters based on feedback linearization concepts. Based on the nonlinear control system, the proposed approach is applied to the rotor side converter and grid side converter. The damping of the DFIG is improved in transient response. In addition, the oscillation of the stator current and DC link voltage during the generator voltage dip are reduced. To the best of author’s knowledge, the proposed control outcomes compared with conventional controller verified the effectiveness, having better performance through simulation tool Matlab.
Zahid Hussain Khand,Sana Gul,Manisha Kumari,Ghulam Mujtaba Sheikh,Noureen Fatima,Kainat Fareed Memon International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.7
Machine learning with its high precision algorithms, Precision agriculture (PA) is a new emerging concept nowadays. Many researchers have worked on the quality and quantity of PA by using sensors, networking, machine learning (ML) techniques, and big data. However, there has been no attempt to work on trends of artificial intelligence (AI) techniques, dataset and crop type on precision agriculture using internet of things (IoT). This research aims to systematically analyze the domains of AI techniques and datasets that have been used in IoT based prediction in the area of PA. A systematic literature review is performed on AI based techniques and datasets for crop management, weather, irrigation, plant, soil and pest prediction. We took the papers on precision agriculture published in the last six years (2013-2019). We considered 42 primary studies related to the research objectives. After critical analysis of the studies, we found that crop management; soil and temperature areas of PA have been commonly used with the help of IoT devices and AI techniques. Moreover, different artificial intelligence techniques like ANN, CNN, SVM, Decision Tree, RF, etc. have been utilized in different fields of Precision agriculture. Image processing with supervised and unsupervised learning practice for prediction and monitoring the PA are also used. In addition, most of the studies are forfaiting sensory dataset to measure different properties of soil, weather, irrigation and crop. To this end, at the end, we provide future directions for researchers and guidelines for practitioners based on the findings of this review.