K. Asha ¹, A. Merlin Thanga Joy ¹

Affiliations
1 Faculty of Management studies, Noorul Islam University, Kumaracoil, Kanyakumari Dist – 629180, Tamil Nadu, IN

Abstract

Objectives: To find out the attitude of rural consumers towards FMCG products in the district of Sivaganagai in Tamil Nadu, India. Methods/Statistical Analysis: This study is descriptive in nature. Structured Questioner is framed to collect the data form the respondents. A total of 384 samples has been taken for data analysis. Multistage Sampling Technique is used to select the sample respondents. Product Category and Products Chosen for study are Toiletries such as: Soaps, Shampoos and Toothpastes. Findings: Among the different factors influence rural consumers to make purchasing decision of FMCG products, ‘Price and Quality’ Factor consisting of the variables such as lasting effect, nearness to selling point, quantity must be reasonably good, price is an important criterion; The quality of the product, for their medicinal value and availability is very important and found to be the most important factor that influences the rural consumers to make purchasing decision of FMCG products. The next important factor influence rural consumers to make purchasing decision of FMCG products is ‘Life style Factor’ which consists of the variables such as brand endorsement, friends and relatives and life style. Application/ Improvements: The proposed factors/variables can be used to study the behavior of the consumers in any sectors and that of in any districts and states.

Keywords

Advertisement, Consumer Behavior, FMCG, Rural Consumer, Toiletries.

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T.J.V. Subrahmanyeswara Rao ¹, M. Venu Gopala Rao ¹, T. V. N. L. Aswini ¹, K. Asha ¹, S. Bhanu Harika ¹

Affiliations
1 Department of ECE, KL University, Vaddeswaram, Guntur, Andhra Pradesh- 522502, IN

Abstract

Background/Objectives: The popularity of Wireless technologies, for applications that urges high bandwidth, increases the demand of Radio frequency (RF) spectrum which leads to scarsity in the spectrum resources. Hence it is required to sense the spectrum of a wideband signal at low sampling rates compared to the Nyquist rate. Methods/Statistical analysis: If the wide band signal is Sparse in frequency domain, then it is used to get over the problem of high sampling rates under the compressive sensing framework. Two different efficient schemes called Modulated Wideband Converter (MWC) and Asynchronous Multi-rate (AMR) are proposed here for wideband spectrum sensing at sub-Nyquist rates. The key features of these methods are also compared with the traditional sub-Nyquist sampling approach called Multi-Coset (MC). Findings: The MC sampling is capable of sampling at different time offsets, but unable to poses channel synchronisation. In MWC sampling, the sparse multiband signal is multiplied by a periodic waveform to shift the spectral components of the band of interest to the origin, then filtered and sampled at low rate. This also makes the computational time to reduce greatly. In AMR sampling, the sparse signal is under sampled at different sampling frequencies to produce sample sets with different aliasing spectra. Later these spectra are compared on a common frequency grid to detect the active bands. This mechanism takes fewer samples there by reduces thee computational cost. The simulation results exhibit these advantages over the traditional sampling techniques for wide band spectrum sensing. Application/Improvements: The trade-off between the selection of MWC for less computational time and MR for low complexity in design makes these sub Nyquist schemes suitable for wide band spectrum sensing in cognitive radio like applications.

Keywords

Cognitive Radio, Compressive Sensing, Sensing Algorithms, Wideband Signal

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