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Articles by R. Gomathi Bhavani
Total Records ( 2 ) for R. Gomathi Bhavani
  R. Gomathi Bhavani and M.A. Khan
  The findings of a research study conducted to analyze the prevalence and penetration of various lighting control systems in the new projects of Dubai is presented in this paper. A sample of 205 new projects in Dubai were classified into three categories namely residential, commercial and hotel projects and the presence of five lighting control technologies in these buildings were analyzed. The study also identifies that meeting the requirements of property developers, not energy saving, is the biggest demand driver of lighting control business in Dubai. From the response of participants, also analyzed are the factors for resistance to adoption of these systems. Looking into the future scenarios, the study identifies the different factors that would make these controls more common in future. The present trends point towards aggressive energy policies of the government in future such as implementation of lighting code regulation which has its own share of difficulties and challenges.
  M. Utsav and R. Gomathi Bhavani
  Robotics is a vast, inter-disciplinary field in which various principles and methods of control system are employed for basic operation and effectiveness of control. This study presents the modelling of a navigation robot set in an adaptive feedback control system. The simulation of control system model involved the two-dimensional terrain mapping of a certain region with the aid of a tactile sensor. The tactile sensor designed as a model for the calculation was based on the mechanism of a TekScan ForceFlex Sensor A201 which has a linear pressure output for the force applied and uses Mylar as a substrate. The basic model aims to utilize the pressure difference to calculate the height difference between the ground level and the test material, thus, enabling the charting of a suitable terrain map of a geographical region. In this model, fuzzy logic has been used to create a tentative map of the relationship between pressure-voltage difference and height and adaptive neuro fuzzy inference system in particular has been used to validate the model. With a testing error of 0.0028852, results indicate that the model was able to capture the input-output mapping well.
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