Makarand Upadhyaya | University of Bahrain (original) (raw)

Papers by Makarand Upadhyaya

Advances in human and social aspects of technology book series, Jan 26, 2024

BENTHAM SCIENCE PUBLISHERS eBooks, Apr 10, 2023

Zenodo (CERN European Organization for Nuclear Research), Nov 28, 2022

In the eyes of marketer children are always seen as a source of business. In India it has been fo... more In the eyes of marketer children are always seen as a source of business. In India it has been found out that almost 40 corer children are less than 15 years of age who are more conspicuous customers in terms of toys, gadgets, phones, cloths but also in counseling parents to make big purchases. In order to attract this age group many big players relay on high spend advertisements, cross selling, high spends advertisements, cross-selling, licensed merchandising, program length commercials, product placement and promotions involving free gifts. The association between children and cartoon characters is analyzed by the researchers in this research.

Marketing Science eJournal, 2016

This paper discusses the nostalgia in promotion. Nostalgia as a means to communicate with consume... more This paper discusses the nostalgia in promotion. Nostalgia as a means to communicate with consumers has already been more and more favorable in the promotion field. Previous studies have shown that nostalgia has achieved good results in the field of promotion. This paper will present the concepts and mechanism of nostalgic promotion, the target group and strategies of nostalgic promotion. Finally we summarized the myth in nostalgic promotion practice, so as to provide feasible suggestions for the successful implementation of nostalgia promotion in the future.

Canadian Journal of Chemistry, 2000

Density (ρ), ultrasonic velocity (U), viscosity (η), and absorbance (A) of adenine in water, 1 M,... more Density (ρ), ultrasonic velocity (U), viscosity (η), and absorbance (A) of adenine in water, 1 M, 3 M, and 6 M aqueous urea solutions have been measured in the presence (and absence) of different concentrations of salts, i.e., NaCl, KCl, and CaCl2. From these measured values, the apparent molar volume (ϕv), experimental slope (Sv), apparent molar compressibility (ϕK), viscosity coefficients A and B of JonesDole equation, specific acoustic impedance (Z), hydration number (Sn), internal pressure (Pi), molar absorptivity (ε), hypochromicity (h), and oscillator strength (f) have been calculated at 298.15 K. The increasing and (or) decreasing trends of all these parameters indicate a strong interaction of urea in moderate concentration (1 M and 3 M) with adenine especially at the hydrophilic/polar and ionic sites, particularly by hydrogen bonding. However, the interaction at hydrophobic sites are relatively weaker. Higher concentrations of urea (6 M) have more denaturation effect. The π...

NVEO - NATURAL VOLATILES & ESSENTIAL OILS Journal | NVEO, Nov 10, 2021

Annals of the Romanian Society for Cell Biology, May 17, 2021

Annals of the Romanian Society for Cell Biology, May 25, 2021

Design Engineering, Jun 6, 2021

2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), Jul 15, 2022

Polish journal of management studies, 2012

This paper is an attempt to study the effectiveness of projective techniques in exploring the bra... more This paper is an attempt to study the effectiveness of projective techniques in exploring the brand image of ego-sensitive brands, possessing minimal functional differentiation. The paper examines four finest perfume brands. Two metaphor based personification methods-mood-boards and job-sorting are employed to study the association that the participants have with the brands. Both the methods are open ended assignments to decipher how participants think or feel about the research object in question. The study analyses the congruent validity of the two methods and differences in their ability to personify the chosen brands of deu. Both the methods yielded almost similar outcomes, thereby reiterating that the two methods possess congruent validity. The latter part of the paper analyses the brand personality characteristics that were connected to the celebrities and jobs thus connected, as identified in the mood-boards and job-sorting exercise respectively. SWOCC Brand Personality Scale, which is a further elaboration of Aaker's brand personality research, was used to provide a list of the personality characteristics. The study however faces a limitation of the failure of the translation from the projective results into personality scores dimensions. This raises a serious concern if it is at all possible to validly translate overall projective data into analytical scores and if it is so then what would be the ideal procedure to do this.

Existing Proportional-Integral-Derivative (PID) robotic controllers rely on an inverse kinematic ... more Existing Proportional-Integral-Derivative (PID) robotic controllers rely on an inverse kinematic model to convert user-specified cartesian trajectory coordinates to joint variables. These joints experience frictionl stiction and gear backlash effects. Due to lack of proper linearization of these effects, modern control theory based on state space methods cannot provide adequate control for robotic systems. In presence of loads, the dynamic behavior of robotic systems is complex and nonlinear, especially where mathematical modeling is evaluated for real-time operations. Fuzzy Logic Control is a fast emerging alternative to conventional control systems in situations where it may not be feasible to formulate an analytical model of the complex system. Fuzzy logic techniques track a user-defined trajectory without having the host computer to explicitly solve the nonlinear inverse kinematic equations. The goal is to provide a rule-based approach, which is closer to human reasoning. The approach used expresses endpoint error, location of manipulator joints, and proximity to obstacles as fuzzy variables. The resulting decisions are based upon linguistic and non-numerical information. This paper presents a solution to the conventional robot controller which is independent of : computationally intensive kinematic equations. : Computer simulation results of this approach as obtained , from software implementation are also discussed. lalzada.f.liaa Fuzzy set theory was developed in 1965 by Zadeh [1], and permits the treatment of vague, uncertain, imprecise, and ill-defined knowledge and concepts in an exact mathematical way. This theory addresses the uncertainty that results from boundary conditions as opposed to Probability theory of mathematics. It allows one to express the operational and control laws of a system, linguistically in words such as "too cold", Copyright

2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)

2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)

International Journal of Intelligent Internet of Things Computing, 2019

In the era of big data, the data of the meteorological departments grows explosively, which puts ... more In the era of big data, the data of the meteorological departments grows explosively, which puts higher requirements on the real-time processing of meteorological big data. Besides, the efficient storage for the massive meteorological data has also attracted much attention from the meteorological departments. Therefore, in response to the urgent requirements of meteorological big data in processing and storage, a distributed data processing platform over meteorological big data using MapReduce is designed. Technically, the platform develops corresponding real-time strategies according to various data properties, and obtains meteorological big data in real-time from multiple channels. Based on the MapReduce real-time processing, we realise the distributed storage to store the meteorological big data in the platform. Overall, our platform improves the real-time, reliability, availability and the access efficiency of meteorological big data which is easy to expand and also has a good reference value for big data processing in other similar industries.

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