Informatics Publishing Limited

K. Bavitra ¹, S. Sinthuja ², N. Manoharan ³, S. Rajesh ⁴

Affiliations
1 EEE, AMET University, Kanathur, Chennai, 603112, IN
2 TEJAS Research Centre of Excellence, AMET University, Chennai, 603112, IN
3 AMET University, Chennai, 603112, IN
4 Department of ECE, Bharath University, Chennai, IN

Abstract

The recent trend in photovoltaic inverter is to use topologies with the absence of transformers to acquire higher efficiency. This gives very low ground leakage current. After the elimination of transformer in a grid/Load connected Photovoltaic (PV) system, a galvanic connection exists between the grid/Load and the PV array. The different inverter topology that generates no varying common-mode voltage is proposed to avoid leakage currents, this proposes a new topology with six switches and two diodes that generates no varying common-mode voltage and exhibits high efficiency

Keywords

Ground Leakage Current, H-Bridge, Photovoltaic Inverter, Transformer Less Topology

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B. Vijayalakshmi ¹, B. Sheela Rani ², N. Manoharan ¹

Affiliations
1 Sathyabama University, Chennai-600119, IN
2 Dept of EIE, Sathyabama University, Chennai-600119, IN

Abstract

Feature Detection and their similarities is a central problem in the field of vision based modeling. It is significant in the field of automation to locate objects and obstacles, or in the case of computer-guided surgery, or study of mathematical structures as well as in machine vision. It arises from the task of distinctive feature detection to classify and recognize structures of their observed silhouette. Defining natural distances between image discontinuities creates a metric space of shapes, whose mathematical structure is inherently relevant to the classification task. One intriguing metric space is identified from using conformal mappings through image matching with the help of mask from 2D stereo images. The poor image quality of many video surveillance cameras effectively renders them useless for the purposes of identifying features from grabbed image. Under certain conditions, however, it may be possible by comparing multiple stereo video frames for such identification tasks. For this a simple and computationally efficient technique for feature detection to detect the objects of an environment is discussed. The efficiency of this technique is shown on real video sequences.

Keywords

Stabilizing Factor, Object Distortion, 3D Reconstruction, Aperture Problem, Stereo Image.

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Arunkumar Thangavelu ¹, N. Manoharan ²

Affiliations
1 School of Computer Science and Engineering, VIT University, Vellore – 632014, Tamil Nadu, IN
2 Computer Science, P. A. College, Manomaniam Sundaranar University, Tirunelveli – 627012, Tamil Nadu, IN

Abstract

Objectives The farmers are getting far less cost for their farming products since they didn’t know where to offer for the best cost. This issue could be settled by this paper. Methods/Statistical Analysis: We worked with Historical Data of various agricultural commodities production, demands and pricing at different locations using MongoDB, a NoSQL database tool. A Module where the Buyers of Agricultural Commodities would enter their need and the costs they offer, for commodities. Demand qualities and Current Price datasets are created. The calculations for each of the Farmer Module and Buyer Module were composed and executed to satisfy the point of guaranteeing that the farmers can offer his wares at the ideal cost. Findings: Making a Module, where the Buyers of Agricultural Commodities would enter their need and the costs they will offer, store these points of interest and in light of these subtle elements, Demand qualities, and Current Price datasets are created. Farmer modules were created with the available agricultural commodities and their cost, a location of availability. The calculations for each of the Farmer Module and Buyer Module were composed and executed effectively. The calculations were tried for different situations and the normal results were figured it out. Examine the information and the farmer’s need (i.e) estimation called as horticulture yield investigation, and in this way discover the different valuable examples and making sense of the best methodologies at the agriculturists to cost and offer their yields in various locales at various times of the year. To satisfy the point of guaranteeing that the rancher can offer his wares at the most ideal cost. Applications/Improvements: This application could be moved to the cloud with MongoDB server and the farmers and purchasers will be given a separate login id. Total system may be available in web.

Keywords

Agriculture Business, Agricultural Commodities, Big Data, NoSQL, MongoDB.

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N. Manoharan ¹, Subhransu Sekhar Dash ², K. S. Rajesh ²

Affiliations
1 Department of Electrical Engineering, Sathyabama University, Chennai – 600119, Tamil Nadu, IN
2 Department of Electrical Engineering, SRM University, Chennai – 603203, Tamil Nadu, IN

Abstract

Background/Objectives: Firefly Algorithm (FA) is employed to for Load Frequency Control (LFC) of nonlinear power system. Methods/Statistical Analysis: The supremacy of FA technique is established by comparing the outcomes with Genetic Algorithm (GA). Findings: Additionally, sensitivity study is conducted by changing system parameters like time constants of turbine, speed governor and inertia constant as well as generator initial loading condition by +50% to -50% from their normal values in addition to the magnitude and location of load disturbance to illustrate the effectiveness of the suggested design approach. Application/Improvements: A nonlinear three area thermal system is taken as the system under study and the parameters of the LFC controller are tuned using FA technique.

Keywords

Firefly Algorithm (FA), Generation Rate Constraint (GRC), Load Frequency Control (LFC), Proportional Integral Derivative Controller, Sensitivity Analysis.

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