Brand management as one of the marketing functions has been around for as long as we have known professional marketing. But, it has been a part of the traditional marketing approach in which many functions of today’s brand management were performed in a spread out fashion by the marketing manager and a combination of his team members like the sales manager, the advertising and communications manager, and the marketing administration manager to name a few. The terminology of brand management was not used. Brand management, in its present integrated form, has come into limelight and focus over the last 20 years. The functional execution has undergone transformation in terms of its description as a substantive job under one head. This implies that the overall functions of brand management are full of substance and therefore are described specifically under the head brand management and not as disparate parts of the overall marketing functions. In other words, brand management has not lost its primary roots that are well-entrenched in marketing; it only has acquired explicitly defined dimensions within which the function operates. To further elucidate the point, there have been functional adjustments within the overall marketing functions only to bring into clear and sharp focus the specific functions and job of brand management. Brand management now presents itself as a distinct part of an integrated marketing approach in which it connects with all the touch points within and outside of the marketing department. The whole concept can be exemplified by seeking your attention toward two fruit baskets; one full of mixed fruits and the other having compartments carrying different fruits of each type in each compartment. Each type comes into a sharper focus! So do the touch points. This course is going to give you a clear understanding of what a brand is, why and how it is managed, and what are the dynamics involved in managing brands in the present day competitive market.

Brand Management & Στρατηγική

Computer Vision For analyzing the Visual world to break and elucidate, which explains computer vision in computer technology. In categorizing the objects’ accuracy, machines use deep learning models17 and digital images such as cameras and videos. In the early 1950s, demonstrations have already started in computer vision to identify the keen edges and align the simpler objects with falling under categories such as circles and squares by the techniques of first neural networks. Later in the 1970s, Optional character recognition came into existence of computer vision explicated typed or handwritten data on its primary trading tool. The illustrated data mainly used for the blind as a development.3 In the 1990s, the World Wide Web has evolved, producing sizeable images for examining and various computing facial detection had developed. These evolving text frames supported the analysis of machines in detecting particular persons in pictures and videos.20,21,24

/pdf/object-detection-using-machine-learning-for-visually-1u5h0ybjr9.pdf

Object Detection Using Machine Learning for Visually Impaired People

In spite of accessibility of a large number of imaginative tools in Applied Mathematics the most important tool of the Mathematician is always the linear model as it involves uncomplicated and apparently most restrictive properties namely linearity ,constancy of variance ,normality and independence. Linear models and the methods connected to it are remarkable, flexible and powerful. Since almost all advanced statistical tools are generalizations of linear models proficiency in linear models is a prerequisite to studyadvanced statistical tools. This research article primarily focuses on the specific forms of Simple Linear Regression Model, Multiple Linear Regression Model, LSE of its parameters and the properties of LSE.Furthermore an innovative proof of Gauss-Markov theorem has been proposed by means of Principles of Matrix Calculus. In addition to these the concept of BLUE has been depicted.

A study on multiple linear regression using matrix calculus

The power generated from the solar PV panels by photovoltaic effect is varying on the particular day. To extract the peak power from the solar panels maximum power point tracking (MPPT) techniques are developed. The demerits of conventional MPPT techniques are slow tracking of the peak point and inaccurate setting of the peak operating voltage point VMPP. The paper proposes the various MPPT techniques and the particle swarm optimization (PSO) MPPT technique. The proposed PSO-MPPT technique improves the productivityand performance of the system. The comparison of various MPPT algorithms based on the performance characteristics are discussed in the paper. The proposed particle swarm optimization MPPT algorithm is efficient, simple and accurate which increases the panel power, by controlling the duty cycle of the switching pulse in the DC converter section under varying weather conditions. The proposed particle swarm optimization MPPT technique is simulated in MATLAB/SIMULINK.

Evaluation and Implementation of Particle Swarm Optimization Maximumpower Point Tracking Technique for Photo Voltaic System

Hall and ion slip effects on unsteady convective MHD rotating flow of water based molybdenum disulfide nanofluid

Today the corporate retail stores are the focal points for purchasing decisions of middle and high-income groups in urban India. However, each corporate retail store has its own method of retailing. Storing the products differently at same locality, location advantage, self-servicing outlets, windows hopping, large scale discount, specialty stores are some of the models retailing stores have adopted. But only some of the models are only popular among the consumers. Consumer's preferences and choices are varying across different retail models. In this context the present study wants to explore significant difference among corporate retail stores in Vijayawada in consumer preference and choices

https://iopscience.iop.org/article/10.1088/1742-6596/1139/1/012039/pdf

A Study on consumer behavior at corporate retail stores in Vijayawada city

CITATION: Kumar, D. S., et al. 2019. Mixed convective flow of a visco elastic fluid between two porous parellel plates. International Journal of Recent Technology and Engineering, 8(3):4830-4834, doi:10.35940/ijrte.C6871.098319.

/pdf/mixed-convective-flow-of-a-visco-elastic-fluid-between-two-1eb7ov80dx.pdf

Mixed convective flow of a visco elastic fluid between two porous parellel plates

Corporate retail stores are today the focal points for purchasing decisions of middle and high-income groups in urban India. However, each corporate retail store has its own model of retailing. Storing different varieties of products at same locality, location advantage, self-servicing outlets, window shopping, large scale discount, specialty stores are some of the models retailing stores have adopted. But all these retail models are not being   popular among the consumers. Consumer’s preferences and choices are varying across different retail models. In this context the present study wants to explore significant difference among corporate retail stores in Vijayawada in consumer preference and choices.  

/pdf/a-comparative-study-of-factors-influencing-purchasing-516pzzzfnm.pdf

A Comparative Study of Factors Influencing Purchasing Decisions at D-Mart and Metro in Vijayawada City.

Corporate retail stores are today the focal points for purchasing decisions of middle and high-income groups in urban India. However, each corporate retail store has its own model of retailing. Storing different varieties of products at same locality, location advantage, self-servicing outlets, window shopping, large scale discount, specialty stores are some of the models retailing stores adopted, but all these retail models are not being   popular among the consumers. Consumer’s preferences and choices are varying across different retail models. In this context the present study wants to explore significant difference among corporate retail stores in Vijayawada in consumer preference and choices.   

/pdf/a-descriptive-study-of-customer-s-opinions-on-factors-123mif87wh.pdf

A Descriptive Study of Customer’s Opinions on Factors Influencing Purchasing Decisions in Corporate Retail Stores in a City of Vijayawada.

Object Tracking and Object Behavior Recognition System in High Dense Crowd Videos for Video Supervision: A Review

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