Abhishek Kumar

Structural modeling and analysis of an effluent treatment process for electroplating - a graph theoretic approach.

An attempt is made to address a few ecological and environment issues by developing different structural models for effluent treatment system for electroplating. The effluent treatment system is defined with the help of different subsystems contributing to waste minimization. Hierarchical tree and block diagram showing all possible interactions among subsystems are proposed. These non-mathematical diagrams are converted into mathematical models for design improvement, analysis, comparison, storage retrieval and commercially off-the-shelf purchases of different subsystems. This is achieved by developing graph theoretic model, matrix models and variable permanent function model. Analysis is carried out by permanent function, hierarchical tree and block diagram methods. Storage and retrieval is done using matrix models. The methodology is illustrated with the help of an example. Benefits to the electroplaters/end user are identified.

Daphnetin inhibits TNF-α and VEGF-induced angiogenesis through inhibition of the IKKs/IκBα/NF-κB, Src/FAK/ERK1/2 and Akt signalling pathways.

Coumarins, identified as plant secondary metabolites possess diverse biological activities including anti‐angiogenic properties. Daphnetin (DAP), a plant derived dihydroxylated derivative of coumarin has shown significant pharmacological properties such as anticancer, anti‐arthritic and anti‐inflammatory. The present study was performed to investigate the anti‐angiogenic potential of DAP, focusing on the mechanism of action. The in vivo anti‐angiogenic potential of DAP was evaluated by vascular endothelial growth factor (VEGF)‐induced rat aortic ring (RAR) assay and chick chorioallantoic membrane (CAM) assay. For in vitro evaluation, wounding migration, transwell invasion, tube formation and apoptosis assays were performed on VEGF (8 ng/mL)‐induced human umbilical vein endothelial cells (HUVECs). The cellular mechanism of DAP was examined on TNFα (10 ng/mL) and VEGF‐induced HUVECs by extracting the mRNA and protein levels using RT‐qPCR and western blotting. Our data demonstrated that DAP inhibited the in vivo angiogenesis in the RAR and CAM assay. DAP also inhibited the different steps of angiogenesis, such as migration, invasion, and tube formation in HUVECs. DAP inhibited nuclear factor‐κB signalling together including TNF‐α induced IκBα degradation; phosphorylation of IκB kinase (IKKα/β) and translocation of the NF‐κB‐p65 protein. Furthermore, western blotting revealed that DAP significantly down‐regulated the VEGF‐induced signalling such as c‐Src, FAK, ERK1/2 and the related phosphorylation of protein kinase B (Akt) and VEGFR2 expressions. DAP reduced the elevated mRNA expression of iNOS, MMP2 and also, induced apoptosis in VEGF‐stimulated HUVECs by the caspase‐3 dependent pathway. Taken together, this study reveals that DAP may have novel prospective as a new multi‐targeted medication for the anti‐angiogenesis and cancer therapy.

Optimum selection and ranking of electroplating system process parameters: Taguchi-MADM approach

This paper deals with the analysis of the process parameters such as pH, bath temperature, current density, plating time and voltage as influencing factors, on the weight and hardness of coating, based on Taguchi’s experimental design methods. This paper also compares the previous analysis to one based on Taguchi’s robust design idea to TOPSIS method of ranking. Attribute databases of MADM-TOPSIS are able to store, organise and manipulate both, the customer requirements and the product information for the performance of electroplating process system. The Taguchi method was adopted to determine the contribution of different factors using L27 orthogonal array for five electroplating parameter such as pH, temperature of bath, current density, plating time and voltage, with three levels for each factor. This study confirms the interest of usual DOEs as well as MADM technique, namely TOPSIS for experiment.

Quality modelling and analysis of electroplating system using graph theory matrix approach

The quality of electroplating products depends upon conformance to requirements of the customer. These requirements are translated into design specifications of all the contributing factors and subsystems up to component level of the electroplating system. The quality of interaction amongst different subsystems, sub-subsystems and other factors that affect the quality of products are considered here. These are modelled using graph theory and matrix algebra as quality graph, quality matrix and quality permanent function of the electroplating product. A number of analytical tests derived from these models help to carry out optimum selection of qualities of subsystems and interactions for designing competitive electroplating products. Evaluation, ranking and comparison procedures can be developed with the help of models proposed herein. Coefficients of similarity and dissimilarity are developed for comparison among feasible products. This is, basically, a virtual prototyping methodology of the complete system, ideal in the production of high quality competitive electroplating products.

Concurrent design of electroplating system for X-abilities: a graph theoretic approach

The electroplating process has been widely accepted for plating automobile parts, aircraft parts and spacecraft components with high strength and stiffness to weight ratios, high quality and reliability, dimensional accuracy and surface finish of the product. This process is widely acceptable in various industries. Designing the electroplating products requires a lot of skill with multidisciplinary knowledge. The present approach offers a ‘virtual design’, which optimises the concurrent design approach and ultimately leads to the achievement of the six sigma limits, i.e. almost defect-free products from the plating technology. The new design utilises the advantages of the graph theoretic approach to consider all the design aspects together in a single methodology with the help of matrix algebra and permanents. It is essentially a virtual methodology which decides the process, the product strength and the weakness with the help of a multinomial defined by using matrix algebra. The design index, developed u...

Improving the Detection Accuracy of Unknown Malware by Partitioning the Executables in Groups

Detection of unknown malware with high accuracy is always a challenging task. Therefore, in this paper we study the classification of unknown malware by two methods. In the first/regular method, similar to other authors (Mehdi et al. Proceedings of the 11th Annual conference on Genetic and evolutionary computation 2009, Moskovitch et al. Intelligence and Security Informatics 2008, Ravi and Manoharan Int J Comput Appl 43(17):12–16 2012) approaches we select the features by taking all dataset in one group and in second method, we select the features by partitioning the dataset in the range of file 5 KB size. We find that the second method detect the malwares with ~8.7 % more accurate than the first/regular method.

Structural modelling and analysis of electroplating system: a graph theoretic system approach

A graph theoretic system approach for modelling and analysis of electroplating system is proposed. The method identifies subsystems, hierarchical tree, graph models, matrix models and permanent function of the system. A number of alternative design solutions can be generated at the conceptual stage of design and after analysis using different terms of the permanent function, optimum design of an electroplating system is selected. Commercially off-the-shelf subsystems can be selected optimally from the global market. Step-by-step procedure is given for the benefit of the industry. An illustrative example demonstrates the implementation of methodology.

ProVis: An Anaglyph based Visualization Tool for Protein Molecules

Proteins are highly complex and flexible structures. Rendering tools are often used to study their dynamics, functions and in some cases even deformations that arise due to slow dynamics. In this work, we present Pro Vis, a visualization tool for 3-dimensional rend ering of protein molecules with the ability to create and display anaglyph images. The tool allows for viewing the protein molecules, locating atoms, viewing bonds, viewing the protein backbone, searching for specific bonds, visualizing them and also analyzing the various scalar properties of the protein. The use of display lists allows for very fast rendering and real time animation of the complex molecules with negligible latency time between scenes. The novelty of the tool is the interface which combines the power of 3D visualization using anaglyphs with the geometry and graphics of the protein to provide a real-time interaction environment for large amounts of abstract data.