S. Vijaykumar ¹, S. G. Saravanakumar ², M. Balamurugan ³

Affiliations
1 School of Computer Science, Engineering and Applications, Bharathidasan University, Trichy – 23, Tamil Nadu, IN
2 6th SENSE, An Advanced Research and Scientific Experiment Foundation, Kumbakonam, Tamil Nadu, IN
3 School of Computer Science, Engineering and Applications, Bharathidasan University, Trichy – 23, Tamil Nadu, India, IN

Abstract

Today, The Computing architectures are one of the most complex constrained developing area in the research field. Which delivers solution for different domains computation problem from its stack above. The architectural integration constrains makes difficulties to customize and modify the system for dynamic industrial and business needs. This model is the initiation towards the solution for findings of Industry 4.0 and Bigdata needs. This “Unique sense” smart computing implementation model for Industry 4.0 holds the innovative Smart computing prototype is a part of “UNIQUE SENSE” computing architecture which can delivers alternate solution for today’s computing architecture to satisfy the future generation needs of diversified technologies and techniques, which brings extended support to the ubiquitous environment. Primitively the industrial 4.0 having a lots of chained interlinked process which also holds valuable information. So it is especially designed for fault tolerance data processing integrated system. This implementation model constructed in the way that smart control and self-accessible system for next generation cyber physical machine and automation controlling system. Also that focusing towards dynamic customization, reusability, eco friendliness for next generation controlling and computation power

Keywords

Bigdata, IOT, HPC, Industry 4.0, Industrial Model, Prototype, Smart Computing, Unique Sense

Full Text

   

Sarat Kumar Sahoo ¹, Dhaval Patel ¹, M. Balamurugan ¹, Ashwin Kumar Sahoo ²

Affiliations
1 School of Electrical Engineering, VIT University, Vellore - 632014, Tamil Nadu, IN
2 Department of EEE, SSN College of Engineering, Chennai - 603110, Tamil Nadu, IN

Abstract

Objectives This paper proposes a control methodology of bidirectional Converter for grid connected systems. Methods/ Statistical Analysis: The bidirectional converter is used for converting the DC-AC power by using decoupled current control strategy in stationary reference frame. The simulations of the proposed system are carried out in PSIM software. An experimental prototype of Bidirectional converter has been built in the laboratory. A TMS320F28335 digital signal processor (DSP) is used for generating the control pulses for the Converter. Findings: The control of grid converter along with battery backup would provide support to the grid. Thus the proposed control strategy could independently control active and reactive power and also able to avoid grid failures. Application/Improvements: Reduction of operating switching frequency, improved dynamics as well as robustness against grid impedance variation are some of the improvements of proposed system.

Keywords

Battery, Bidirectional Converter, DSP, Grid, PSIM.

Full Text

   

M. Balamurugan ¹, S. Vijaykumar ², S.G. Saravanakumar ³

Affiliations
1 School of Computer Science, Engineering and Applications, Bharathidasan University, Trichy - 620024, Tamil Nadu, IN
2 School of Computer Science, Engineering and Applications, Bharathidasan University, Trichy - 620024, Tamil Nadu, IN
3 6th SENSE, An Advanced Research and Scientific Experiment Foundation, kumbakonam - 612001 Tamil Nadu, IN

Abstract

This study explores existing design principles of the processor architecture and identifies future design approach that will help to solve existing business problems that are operable on the scalable environment. We considered the two broader classifications of the instruction sets- RISC and CISC and analyzed the ways to improve the performance of the existing processor design approach. Findings show that all the design principles have been made for different engineering level points to work on the different kinds of task that are specific to the respective fields and SIMD data can be handled well in vector processing environments. Improvements can be made while choosing the design environment based on the business problem and significant design improvement can make to overcome the existing performance-related issues.

Keywords

CISC, MIMD, MISD, RISC, SIMD, SISD, Vector Processing, VLIW.

Full Text