Different computational technique for solution of variation issue

Issue of large demand of electricity by customers in all countries becomes a big challenge to all. In this paper the issue of frequency and corresponding power in the generating station has been focused and three generating units taken as a source of electricity generation. Computational technique like; PI, PID, Fuzzy and GA Technique has been applied for the solution of such issues, when the generating unit is operating normal and also even in disturbing condition. The Simulink model has been simulated and comparative result of response has been tabulated for best effectiveness. Comparative results show that the GA techniques gives good results with respect to the other techniques by satisfying the all system parameters in all the conditions.

COMPLEX GEOMETRIC EVALUATION OF POLYMER MATERIALS QUALITY

A computational technique of comparative evaluation of polymer material quality in a homogeneous set of samples according to a complex geometric criterion is proposed. Samples of physical and mechanical parameters of samples of industrial impact-resistant polystyrene are used for calculation. The most averaged complex of physical and mechanical properties is used as the calculation base.

Study of Nonlinear Models of Oscillatory Systems by Applying an Intelligent Computational Technique

In this paper, we have analyzed the mathematical model of various nonlinear oscillators arising in different fields of engineering. Further, approximate solutions for different variations in oscillators are studied by using feedforward neural networks (NNs) based on the backpropagated Levenberg–Marquardt algorithm (BLMA). A data set for different problem scenarios for the supervised learning of BLMA has been generated by the Runge–Kutta method of order 4 (RK-4) with the “NDSolve” package in Mathematica. The worth of the approximate solution by NN-BLMA is attained by employing the processing of testing, training, and validation of the reference data set. For each model, convergence analysis, error histograms, regression analysis, and curve fitting are considered to study the robustness and accuracy of the design scheme.

In silico Molecular Docking of Anthraquinone Identified from Boerhavia diffusa Linn against Bax and Bcl-2 Gene

In today's medical environment, natural products have made a substantial contribution to the therapeutic approach in the treatment of diseases ranging from the simple to the complex. The old or traditional approach of standardization in medicinal plant research is a time-consuming, costly, and to some extent antiquated process. As a result, a computational technique that includes an in silico molecular docking simulation study has become an important tool for drug development, standardisation, and screening of phytochemicals. To investigate the cardioprotective research and the interaction of the strong chemical against Bax and Bcl-2 cardiomyocyte gene, docking was conducted using multiple Protein Data Bank files (3EOO, 3D2U, 2I42, and 3D2Y). The Anthraquinone has shown more potent interaction with apoptotic regulators Bcl-2 and Bax genes by showing good binding energy. The study also evident that Anthraquinone (UBA) was an ideal drug agent with better drug likeliness. Further, the compound can be used as therapeutic molecule for myocardial infarction. However, the results are preliminary and experimental evaluation will be carried out in near future.

Algorithmic Toolmaking: Parameter Thinking in Landscape Architecture

<p>This thesis interrogates the contentious integration of digital technologies into the field of landscape architecture. Identifying that an application of computational technique is largely unknown, the research delves into the scripting of geometry relationships with the use of the tool ‘Grasshopper’ in the context of landscape architecture. The discourse surrounding the appropriation of digital technology in assistance to landscape architecture is seemingly controversial with an apparent resistance in favour of traditional methodologies of site design. It is commonly stated that, digital software tends to be ‘too architectural’ and therefore less tailored to the open systems that landscape architects contend with. The tendency of contemporary software is to mimic the analogue process and while useful in representation and drawing production - these programs are scale-less and detached from reality. It is affirmed by academics such as Bradley Cantrell and Caroline Westort that landscape architecture needs more algorithmic attention. Stressing the construction of relationships between design-move and site condition. Parameter thinking infers a method of rule setting and dedication to the settling of boundaries in which the potentials of site intervention has room to shift. Geometries, points, curves and planes provide such palette. Abstraction is a primary conceptual driver of any drawing convention yet Grasshopper offers a more dynamic and animated process of conceptual development. The abstraction of site into such geometries grants a dynamic, shifting and generative paradigm to design and toolmaking. This thesis is to unfold the paradigm of operating within such a toolset adopting the use of Grasshopper almost exclusively as a way of engaging with conceptual development. Such an interface allows this thesis to note the performance of an algorithmic toolset and adopt an algorithmic mind set.</p>

Algorithmic Toolmaking: Parameter Thinking in Landscape Architecture

<p>This thesis interrogates the contentious integration of digital technologies into the field of landscape architecture. Identifying that an application of computational technique is largely unknown, the research delves into the scripting of geometry relationships with the use of the tool ‘Grasshopper’ in the context of landscape architecture. The discourse surrounding the appropriation of digital technology in assistance to landscape architecture is seemingly controversial with an apparent resistance in favour of traditional methodologies of site design. It is commonly stated that, digital software tends to be ‘too architectural’ and therefore less tailored to the open systems that landscape architects contend with. The tendency of contemporary software is to mimic the analogue process and while useful in representation and drawing production - these programs are scale-less and detached from reality. It is affirmed by academics such as Bradley Cantrell and Caroline Westort that landscape architecture needs more algorithmic attention. Stressing the construction of relationships between design-move and site condition. Parameter thinking infers a method of rule setting and dedication to the settling of boundaries in which the potentials of site intervention has room to shift. Geometries, points, curves and planes provide such palette. Abstraction is a primary conceptual driver of any drawing convention yet Grasshopper offers a more dynamic and animated process of conceptual development. The abstraction of site into such geometries grants a dynamic, shifting and generative paradigm to design and toolmaking. This thesis is to unfold the paradigm of operating within such a toolset adopting the use of Grasshopper almost exclusively as a way of engaging with conceptual development. Such an interface allows this thesis to note the performance of an algorithmic toolset and adopt an algorithmic mind set.</p>