P. Venkatesan ¹, R. Srinivasan ¹

Affiliations
1 Tuberculosis Research Centre, ICMR, Chennai – 600 031, IN

Abstract

In this paper, we have used statistical measures and spatial deviational ellipse to determine the spatial pattern of tuberculosis within a Chennai ward population to gain insight into the disease spread. Variogram is used to describe the spatial dependence of tuberculosis in Chennai wards and it is compared with theoretical variogram model of spherical, Gaussian and exponential fitted to tuberculosis data. Arc View GIS 9.2 and SAS software were used for spatial analysis of tuberculosis spread. Data were obtained from District Hospital records for Chennai wards. The results of the spatial pattern revealed that the spread of tuberculosis in Chennai wards have been diverse, with many wards having a low rate of infection and the epidemic being most extreme in slum areas. Variogram increases with distance at small distances and then level off which implies spatial dependence exists between small distance of tuberculosis cases. Spherical model fits data better. Spatial analysis is proved to be more useful for studying spread of tuberculosis analysis and modeling of disease analysis.

Keywords

Bayesian, Disease Mapping, Variogram, Spatial Correlation And Deviational Ellipse

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S. Koteeswaran ¹, R. Srinivasan ¹, K. A. Varunkumar ¹

Affiliations
1 Department of CSE, Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology (Vel Tech Dr.RR & Dr.SR Technical University), Chennai-62. TamilNadu, IN

Abstract

Wireless Sensor Networks in real time applications are vastly increasing due to their sensing feature. In this paper we propose an efficient routing protocol for heterogeneous wireless sensor network. Two scenarios are considered: 20 advanced nodes&80 normal nodes are used in simulation. In scenario one, Nodes transmitted data directly to the base station. In scenario two, Nodes transmitted their data to base station with assigned cluster node. After assigned rounds are completed, number of alive nodes is considered for analyzing energy efficiency, throughput, stability and network life time. Currently, two efficient routing protocols like Leech, Sep are induced to the simulations and compared with the proposed RSE routing protocol. Results proved that throughput, stability, network life time, energy efficiency are increased in our proposed model.

Keywords

Clustering, Energy Efficiency, Election, Regions, Routing, Wireless Sensor Network.

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P. Visu ¹, K. A. Varunkumar ¹, R. Srinivasan ¹, R. Vinoth Kumar ²

Affiliations
1 Department of CSE, Vel Tech University, Avadi, Chennai - 600062, Tamil Nadu, IN
2 Department of IT, Vel Tech University, Avadi, Chennai - 600062, Tamil Nadu, IN

Abstract

Background/Objectives: Brainwave based accident avoidance system for drowsy drivers. Methods/Statistical Analysis: Accident avoidance system is an effective way to prevent accident caused due to drowsy driving. Every year, approximately 100,000 crashes are caused by drowsy driving. These kind of crashes are most common in highways during long journeys, youth, adults with children and shift workers. Till now, there is no test to determine sleepiness. Findings: The proposed idea brain wave accident avoidance system is to avoid this kind of accident using Electroencephalography (EEG) of human brain and Cruise control in automobiles. Whenever the driver tends to drowse, obviously his brain signals will change which will trigger a set of routine on cruise control to control the automobile to avoid accidents effectively. Application/Improvements: Brain computer interface.

Keywords

Automobile, Brain Wave, Cruise Control, Electrical Signals, Electroencephalography

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C. P. Lohith ¹, R. Srinivasan ², Rajeshwar S. Kadadevaramath ³, S. Shrisha ⁴

Affiliations
1 Department of Mechanical Engineering, Siddaganga Institute of Technology, Tumakuru - 572103, Karnataka, IN
2 Department of Management studies, Indian Institute of Science, Bangalore - 560012, Karnataka, IN
3 Department of Industrial Engineering and Management, Siddaganga Institute of Technology, Tumakuru - 572103, Karnataka, IN
4 Infosys, Bangalore, Karnataka, IN

Abstract

MSMEs (Micro Small Medium Enterprises) play a very critical role through its contribution towards the economic development of any country and thereby it determines the major economic indicators for a developing nation as such. MSMEs role has been clearly understood as the pillars of our growing economy. MSMEs are flexible with respect to the changes as and when needed by the market and also produce good value added products/services. The MSME sector plays a vital role in the growth of our country. It contributes almost 40% of the gross industrial value added in the Indian economy. It has been estimated that a million rupees of investment in fixed assets in the small scale sector produces 4.62 million worth of goods or services with an approximate value addition of ten percentage points. Since from the inception of five years plan, small sectors have been well promoted and also they have shown a rapid growth rate. As for as manufacturing sectors are considered, its numbers are rapidly increasing over the years since 80’s. When we see the growth of MSMEs, it still needs to be tapped effectively in order to get the advantage to the fullest. This paper would study the role of MSMEs in Indian Economy and its impact on the economic development of India as a whole and also how Innovation will be able to contribute for the Indian MSMEs performance.

Keywords

Economic Growth, Innovation, MSMEs, Manufacturing Firm

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