International Conference

Permanent URI for this collectionhttps://dspace.psgrkcw.com/handle/123456789/104

Browse

Start date: 2013End date: 2020

Search Results

Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    A STUDY ON BRAND PREFERENCE TOWARDS HEALTH DRINKS WITH SPECIAL REFERENCE TO COIMBATORE CITY
    (International Journal of Research & Business Innovation/ AVS College of Arts & Science, Salem, 2013-07) R S, Kanimozhi; G, Indrani; S, Suma Devi
    Energy is the capacity we have to be active in the mind and body. All the cells in the body need energy to fuel their growth, development and metabolic functions, whether they are used in physical, mental or social activity. Health drink occupies a part of our day to day life and becomes necessary to human health. Health food drinks provide nourishments for the family, particularly growing children and serve as energy providers for adults. The health drink available in the market today can be categorized depending on the needs of the consumer which are made to just deliver essential mineral and vitamins in the body. It also aimed towards increasing energy levels or increasing the muscle reaction to certain activities. The present study seeks to examine the attitude of 200 respondents about their brand preference towards health drinks. The relevant data of the socio economic profile, brand preference, the factors influencing to use particular health drinks, the customer satisfaction level were collected with the help of a structured questionnaire. The statistical tools such as Percentage Analysis, Chi-square, ANOVA, Rank correlation and t-test have been applied to analyze the data.
  • No Thumbnail Available
    Item
     ADVANCED CHAMFER DISTANCE BASED MULTIDIMENSIONAL SCALING (ACDMDS)ALGORITHM AND DISTRIBUTED 3-D LOCALIZATION IN WIRELESS SENSOR NETWORKS (WSNS)
    (International Conference on Research Trends in Computing Technologies (ICRTCT-2020), 2020-02-28) Nithya A
    Correct localization in Wireless Sensor Networks (WSNs) is basic toward several applications. In general it becomes very difficult in huge scale 3D WSNs because of irregular topology since it consists of holes in the path, of the network. Node Weight Swallow Swarm Optimization Convex Node Segmentation (NWS 2 CNS) is introduced recently for solving 3D WSN accurate localization. However in NWS 2 CNS algorithm is not easy to recreate a global map by means of the relative coordinates subsequent to the network segmentation.So a number of advanced algorithms are needed to recreate the global map establishment.An Advanced Chamfer Distance Based Multidimensional Scaling (ACDMDS) algorithm is proposed in this paper in order to recognize relative localization designed for every approximate convex. The shortest hop count among two arbitrary neighboring nodes in the complete 3D WSN is able to achieve via the Floyd algorithm, and each and every one of these hop count distances is saved in a chamfer distance matrix. Chamfer distance is also additionally calculated to arbitrary neighboring nodes. After that spatial convex node detection algorithm and sub-optimal convex node algorithm have been also carryout individually. Simulation results demonstrate that the proposed ACDMDS technique be able to successfully segment a 3D WSN and considerably increase the localization results when compared to other existing methods.Simulation results are evaluated via the metrics like Localization Error Ratio (LER), Localized Node Proportion (LNP), Bad Node Proportion (BNP) and Network Coverage Ratio (NCR).