Re-Imagining Organic Food Industry: Product Rationalization through Micro Segmentation
The Research study is being conducted to find the ways of micro segmenting the heterogeneous organic food produce market into different micro segments to find the deeper penetration and fragmentation, which enable the marketer to reach every possible micro segment. We are trying to find the benefit of micro segmentation on the organic food industry. The retail FMCG industry has commendably contributed to the development of the economy in recent times, where the degree of personalization of organically grown products to enhance health benefits is relatively high. It is also easier to promote a micro destination in comparison to a macro environment. The study is aimed at analyzing the awareness level of consumers towards organic food products. A structured questionnaire survey was rolled out to 384 household respondents of Bengaluru urban city in the south of India. Of the total households surveyed, 69% respondents have reported that the awareness of organic foods is strong. A logistic regression model was used to identify the most likely factors affecting the consumers’ awareness of organic food. The pilot study results using logistics regression analysis indicates that the urban potential organic food Bengaluru consumers' awareness level of organic food is significantly affected by factors such as income, education, occupation, marital status, product quality, health issues, and product source. The awareness is not affected by factors such as gender, age and product Trademark. Results of the study have great managerial implication in terms of promotions related to organic food products under the category Health & Wellness.
Published by: Nandish Manangi
Author: Nandish Manangi
Paper ID: V4I2-1194
Paper Status: published
Published: March 14, 2018
Labour Productivity Model for Structural Elements by Varying Build ability Factors using Multiple Regression Analysis
Construction productivity is one of the most frequently researched topics due to its importance to the viability of the industry. Buildability is defined as the extent to which the design of a building facilitates ease of construction, subject to the overall requirements for the completed building. In this project, the major buildability factors hypothesised to influence the labour productivity of the main trades, i.e. formwork, reinforcing steel fixing and concreting, included grid patterns of footings and columns, type of structural framing system, geometry and dimensions of elements, height of floors, the degree of design rationalisation, standardisation and repetition of elements, reinforcing steel quantity and diameters, location and congestion of reinforcement, volume and workability of concrete as well as surface finish. In addition, and due to its importance to the productivity of the construction industry, the effect of the learning curve theory has been also examined in this study. This research project has quantified the relationship between the principal design characteristics of in situ reinforced concrete construction and labour productivity of the various trades involved. It can provide practical guidance to architects and structural designers who seek to optimise their designs. In addition, it can give a feedback on how well the designed building considers the requirements of the basic buildability principles and provides for tangible consequences of their design decisions on the construction labour productivity.
Published by: Anjali Narayanan K. M., Aswathi M. P.
Author: Anjali Narayanan K. M.
Paper ID: V4I2-1193
Paper Status: published
Published: March 14, 2018
Knuckle Finger Imager for Identification using Accurate Person Matching Score
A biometric system using finger knuckle patterns has recently drawn the interest of researchers worldwide. Compared with its hand counterparts, palm and knuckle parts has several unique merits. Knuckle print based biometric system is highly acceptable because these patterns do not disturb with injury and wound on the finger surface. However, geometrical and textural features have been used widely in most of the existing knuckle print recognition methods where an individual is verified by extraction of size, length, position and shape features. This paper presents a matching score scheme for personal recognition using novel inner knuckle print-based features i.e., knuckle distance based geometrical features, and texture features. The proposed method is tested on our in-house Hand database (720 images) collected over a span of 3 months. Finally, the test and training images are compared in terms of using fusion and decision algorithm.
Published by: Anchana. G. V., Ajima. R., J. Gayathri
Author: Anchana. G. V.
Paper ID: V4I2-1192
Paper Status: published
Published: March 14, 2018
Power and Energy Management of a Household Photovoltaic-Wind System with Battery Storage
With the expanding power request and the persistently creating of sustainable power source advancements, battery energy storage systems (BESS) appear to be a critical piece of a keen network, giving numerous advantages, for example, lessening the power charge, diminishment of pinnacle request and taking care of the age with the demand side. In this investigation, a battery execution display is proposed for a private home with conveyed age from inexhaustible assets. Genuine irradiance and wind speed information estimated in two unique times of the year (i.e. summer and winter) have been utilized and mimicked for 24 hours. Battery stockpiling is an appropriate arrangement because of the quick reaction and adaptability. Incorporated with a smoothing usefulness, it can charge and release to lessen the power vacillations created by PV boards and wind turbine. Reproductions demonstrate that the picked moving normal calculation does not require a major battery measure, conveying acceptable outcomes even with a littler battery. Further, considering the request energy of the house and the created control, a normal power bend is processed at regular intervals keeping in mind the end goal to be traded with the utility framework and limit the power charge.
Published by: Akshaya. K. G, Devika. B, Subashini. V
Author: Akshaya. K. G
Paper ID: V4I2-1188
Paper Status: published
Published: March 14, 2018
Land use Analysis on Urban Sustainability in a Transit Oriented Development
Urban sustainability involves environmental, economic, social and political issues. The challenges in urbanization such as population growth, urban sprawl, poverty, inequality, pollution, congestion, and mobility need to be addressed to achieve a sustainable, livable, economical and energy efficient urban form. This paper aims to highlight the urban sustainability issues that arise due to the rapid development of transit corridors by analyzing the changes in land use structure and urban form in relation to a transit-oriented development.
Published by: N Praveen, Emline Madonna R. Jose
Author: N Praveen
Paper ID: V4I2-1187
Paper Status: published
Published: March 14, 2018
FPGA – Based Electro Cardio Graphy Signal Analysis System using Least Square Linear Phase Finite Impulse Response Filter
Proposed design for analyzing electrocardiography (ECG) signals. This methodology employs high pass least-square linear phase finite impulse response (FIR) filtering technique to filter out the baseline wander noise embedded in the input ECG signal to the system. Discrete wavelet transform (DWT) was utilized as a feature extraction methodology to extract the reduced feature set from the input ECG signal. The design uses back propagation neural network classifier to classify the input ECG signal. The system is simulation on xilinx system generator.
Published by: P. Purani, M. Sasikala, J. Sharmila Devi, A. Yasodha, S. V Sathyah, S. Jeya Anusuya
Author: P. Purani
Paper ID: V4I2-1210
Paper Status: published
Published: March 14, 2018
