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An approach to finding customer-value and devising marketing strategies by using data-mining techniques
The digital marketing space is an outcome of the advent of digital age and the booming network technology. The earlier methods of marketing have almost been eclipsed with this digital marketing, which could include any material, information, videos on the internet and social media, etc. The marked distinction between a digital and traditional marketing is that the former uses digital devices in the traditional space. People today consume innumerable products daily and getting to know the customer's interests, their transaction's history, identifying a loyal customer and estimating their lifetime value are all at the very heart of digital marketing. It is here, in this context, that data mining techniques play a key role. This unique blending of data mining techniques with digital marketing will help merchants increase their sales and revenue exponentially. This research paper explores the possibility of finding the frequent item-set generated by a customer while making purchases, tracking their loyalty based on the number of purchases and their frequency and thereafter devising an appropriate marketing strategy for that particular product type. It is the analysis of the product based on the previous marketing experiences of the consumer. This system will boost a merchant's businesses by identifying their loyal customers (customer segmentation), best sold products (product recommendation) and reveal the different marketing strategies that can be adopted by them to reach out to their potential customers and thus increase their sales (Strategy selection/combination). IAEME Publication. -
An approach to improvise recognition rate from occluded and pose variant faces
Face recognition is increasingly gaining popularity in today's field mainly because one of the major applications of face recognition, surveillance cameras are being used in real world applications. At the same time, researchers are trying to increase the accuracy of recognition as recognizing face from an unconstrained faces is naturally difficult. In the case of real world application, during image capture there are high chances of faces appearing with different poses, face subjected to illumination and occlusion. In this paper we propose a model that can increase the recognition rate with faces of different pose and faces subjected to occlusion. We introduce the technique of in-painting to restore the occluded face in a frame of video. A dictionary set is created with restored occluded face and faces with varying inclination. In our proposed model, Discrete Curvelet Transform is used to extract features. Comparison with traditional method shows a better recognition rate. 2015 IEEE. -
An Approach to Introduce Mobile Application Development for Teaching and Learning by Adapting Allans Dual Coding Theory
This paper reveals around methodology that could be powerful to teach mobile applications in a class by including a decent utilization of innovative technology alongside a system. Appraisal instruments within the cloud were utilized to encourage this sort of methodology toward teaching application development. The new methodology is executed by teaching in the lab with desktops or in the classroom with students laptops. It adapted Allans dual code Theory. The adequacy of this methodology is obvious through an examination of outcomes. 2020, Springer Nature Switzerland AG. -
An aqueous phase TEMPO mediated electrooxidation of 2-thiophenemethanol using MnO2-Pi dispersed nanocarbon spheres on a carbon fiber paper electrode
An environmentally benign and economic method was developed for the electrocatalytic oxidation of 2-thiophenemethanol in an aqueous acidic medium. Nanocarbon spheres (NCS) coated on carbon fiber paper (CFP) were used as a host matrix to disperse manganese dioxide nanoparticles from phosphate buffer solution through electrochemical deposition. The developed electrode (MnO2-Pi-NCS/CFP) was used as a working electrode for electrochemical oxidation of 2-thiophenemethanol in the presence of a mediator TEMPO in 0.01 M H2SO4 medium. Different analytical methods were used to characterize the modified electrodes. Cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) were used to study the electrochemical properties of the modified electrodes. The electrochemically active surface area values calculated for bare CFP, NCS coated CFP and MnO2-Pi-NCS/CFP electrodes were found to be 1.43 cm2, 2.86 cm2, and 6.72 cm2 respectively for the geometric area of 0.7 cm2 of the electrodes. Coating of NCS and MnO2-Pi resulted in porosity and roughness of the CFP electrode which enhances the surface area. MnO2-Pi-NCS/CFP demonstrated higher electrocatalytic activity for oxidation of 2-thiophenemethanol to 2-thiophenemethanal in aqueous acidic media with a TEMPO mediator compared to unmodified electrodes. This journal is 2021 The Royal Society of Chemistry. -
An Aqueous Phase TEMPO-Mediated Electrooxidation of Benzyl Alcohol at ?-CD-PPy-Modified Carbon Fibre Paper Electrode
A green and facile electrocatalytic method for the oxidation of benzyl alcohol in an acidic aqueous medium was developed using an anionic micellar system. ?-cyclodextrin-polypyrrole-modified carbon fibre paper (?-CD-PPy/CFP) electrode was successfully used in the oxidation of benzyl alcohol with TEMPO as the mediator. The modified electrode was characterized by cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), scanning electron microscopy (SEM), fourier transform infrared spectroscopy (FTIR) and Raman spectroscopy. The modified electrode exhibited a strong electrocatalytic activity towards TEMPO-mediated oxidation of benzyl alcohol. [Figure not available: see fulltext.]. 2020, Springer Science+Business Media, LLC, part of Springer Nature. -
An Architecture for Risk-Based Authentication System in a Multi-Server Environment
Identity authentication, a vital part of any application access, is also one way for imposters to gain access to an application using various fingerprint authentication technologies. Therefore, because of the lack of security in the authentication architecture, this paper proposes an architecture for a risk-based authentication system using a machine learning model in a multi-server environment. Since the recent study mainly focuses on the multi-server environment and adaptive authentication independently, very little work has been proposed using a multi-server environment for adaptive authentication. The study aims to estimate risk for the user during the initial login process and when the user's data is extracted enough for prediction in a multi-server environment. 2023 IEEE. -
An Area-Efficient Unique 4:1 Multiplexer Using Nano-electronic-Based Architecture
Quantum dot cellular automata computing methodology is a new way to develop systems with less power consumption. Nanotechnology-based computing technology has enabled the QCA principles to be more relevant with respect to the critical limitations of current VLSI-based design. In this paper, a novel 4:1 multiplexer design based on the QCA concept is presented. As compared to the previous designs of a multiplexer, this novel design is area efficient and power efficient. A five-input majority voter is used for the design of the multiplexer. The 4:1 multiplexer is constructed by making use of three 2:1 multiplexer. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
An artificial intelligence based smart cap with voice assistant for blind person /
Patent number: 202241013502, Applicant: Dr. Aruna S K.
People who are completely blind or have reduced eyesight confront numerous challenges while navigating. Every day, they face a variety of challenges, particularly in terms of mobility. Several systems have been developed to assist visually impaired people and improve their quality of life. This invention helps the blind to navigate independently using smart cap. It enables visually impaired people to see the world by voice assistance. It enables the blind and visually impaired to navigate freely by allowing them to experience their surroundings through audio output that describes the identified things. -
An artificial intelligence based smart cap with voice assistant for blind person /
Patent number: 202241013502, Applicant: Dr. Aruna S K.
People who are completely blind or have reduced eyesight confront numerous challenges while navigating. Every day, they face a variety of challenges, particularly in terms of mobility. Several systems have been developed to assist visually impaired people and improve their quality of life. This invention helps the blind to navigate independently using smart cap. It enables visually impaired people to see the world by voice assistance. It enables the blind and visually impaired to navigate freely by allowing them to experience their surroundings through audio output that describes the identified things. -
An artificial intelligence based smart cap with voice assistant for blind person /
Patent number: 202241013502, Applicant: Dr. Aruna S K.
People who are completely blind or have reduced eyesight confront numerous challenges while navigating. Every day, they face a variety of challenges, particularly in terms of mobility. Several systems have been developed to assist visually impaired people and improve their quality of life. This invention helps the blind to navigate independently using smart cap. It enables visually impaired people to see the world by voice assistance. It enables the blind and visually impaired to navigate freely by allowing them to experience their surroundings through audio output that describes the identified things. -
An artificial intelligence based smart cap with voice assistant for blind person /
Patent number: 202241013502, Applicant: Dr. Aruna S K.
People who are completely blind or have reduced eyesight confront numerous challenges while navigating. Every day, they face a variety of challenges, particularly in terms of mobility. Several systems have been developed to assist visually impaired people and improve their quality of life. This invention helps the blind to navigate independently using smart cap. It enables visually impaired people to see the world by voice assistance. It enables the blind and visually impaired to navigate freely by allowing them to experience their surroundings through audio output that describes the identified things. -
An artificial intelligence based smart cap with voice assistant for blind person /
Patent number: 202241013502, Applicant: Dr. Aruna S K.
People who are completely blind or have reduced eyesight confront numerous challenges while navigating. Every day, they face a variety of challenges, particularly in terms of mobility. Several systems have been developed to assist visually impaired people and improve their quality of life. This invention helps the blind to navigate independently using smart cap. It enables visually impaired people to see the world by voice assistance. It enables the blind and visually impaired to navigate freely by allowing them to experience their surroundings through audio output that describes the identified things. -
An artificial intelligence based smart cap with voice assistant for blind person /
Patent number: 202241013502, Applicant: Dr. Aruna S K.
People who are completely blind or have reduced eyesight confront numerous challenges while navigating. Every day, they face a variety of challenges, particularly in terms of mobility. Several systems have been developed to assist visually impaired people and improve their quality of life. This invention helps the blind to navigate independently using smart cap. It enables visually impaired people to see the world by voice assistance. It enables the blind and visually impaired to navigate freely by allowing them to experience their surroundings through audio output that describes the identified things. -
An Assessment of Farmers' Perception and Adaptive Capacity for Climate Change
In the past decades, various regions in U.P. had experienced severe floods. The effects of climate change also affected agricultural production. This study investigated the farmers' perception of climate change and suggested strategies for mitigating its effects using a primary survey with the help of a pre-structured schedule. Change in rainfall pattern, problems in seed quality, the emergence of new pests and diseases, changes in the crop cycle were the few effects that farmers' perceived due to climate change. Even the most mitigation efforts by the farmers cannot prevent some of the impacts of climate change within the following decades. It makes adaptation a must-have for addressing these impacts. 2022, The Society of Economics and Development. All rights reserved. -
An asymmetric analysis of overall globalization on financial inclusion
Purpose: Financial inclusion is acknowledged as a critical facilitator of the United Nations Sustainable Development Goals agenda for 2030. Therefore, this study aims to examine the asymmetric role of overall globalization on financial inclusion by controlling economic growth, urbanization and population for the selected South Asian countries. Design/methodology/approach: Applying the nonlinear autoregressive distributed lag approach to cointegration explores the impact of overall globalization on financial inclusion in the presence of additional variables like economic growth, urbanization and population in the designed financial inclusion function. Findings: The estimated econometric outcomes show that increasing overall globalization fosters financial inclusion while decreasing overall globalization reduces financial inclusion. Furthermore, a positive (negative) change in economic growth leads to an increase (decrease) in financial inclusion while varying short-run findings. Moreover, both positive and negative changes increase financial inclusion in the long run in connection with urbanization. Although the short-run results are not significant, the study finds that an increase (decrease) in population leads to a decrease (increase) in financial inclusion. Finally, to support the promotion of financial inclusivity throughout South Asia, several policies pertaining to financial inclusion are suggested. Originality/value: To the best of the authors knowledge, this is the first study to examine the asymmetries related to overall globalization on financial inclusion by controlling economic growth, urbanization and population. 2024, Emerald Publishing Limited. -
An augmented artificial bee colony algorithm for data aggregation in wireless sensor networks
As wireless sensor networks comprise of a vast number of resource constrained tiny sensor nodes which are designed to operate for a long period of time, it is inevitable to efficiently utilize the available resources. Even though energy harvesting approaches exist, energy efficiency in these networks remains the primary concern. Innovative data collection methods help in the optimal utilization of the confined resources like energy, memory and processing capabilities. Majority of the energy is consumed for data transmission in contrast to sensing and processing. Adopting self-organizing system intelligence of the nature for modern advancements is effective and efficient. This paper provides a gist of the existing bio-inspired routing algorithms and describes a new energy efficient data collection strategy with mobile sinks in wireless sensor networks. IAEME Publication. -
An Automated Deep Learning Model for Detecting Sarcastic Comments
The concept of Natural Language Processing is immensely vast with a wide range of fields in which ideas can be explored and innovations can be developed. An algorithm based on deep learning is used to detect sarcasm in text in this paper. It is usually only possible to detect sarcasm through speech and very rarely through text. 1.3 million comments from Reddit were analyzed, of which half were sarcastic and half were not, and then various deep learning models were applied, such as standard neural networks, CNNs, and LSTM RNNs. The best performing model was LSTM-RNNs, followed by CNNs, and standard neural networks came last. With textual data, it is much harder to understand whether the other person is being sarcastic or not, it can only be understood by listening to their tone of voice or looking at their behaviour. The purpose of this paper is to demonstrate how to detect sarcasm in textual data using deep learning models. 2021 IEEE. -
An Automated Path-Focused Test Case Generation with Dynamic Parameterization Using Adaptive Genetic Algorithm (AGA) for Structural Program Testing
Various software engineering paradigms and real-time projects have proved that software testing is the most critical and highly important phase in the SDLC. In general, software testing takes approximately 4060% of the total effort and time involved in project development. Generating test cases is the most important process in software testing. There are many techniques involved in the automatic generation of these test cases which aim to find a smaller group of cases that could allow for an adequacy level to be achieved which will hence reduce the effort and cost involved in software testing. In the structural testing of a product, the auto-generation of test cases that are path focused in an efficient manner is a challenging process. These are often considered optimization problems and hence search-based methods such as genetic algorithm (GA) and swarm optimizations have been proposed to handle this issue. The significance of the study is to address the optimization problem of automatic test case generation in search-based software engineering. The proposed methodology aims to close the gap of genetic algorithms acquiring local minimum due to poor diversity. Here, dynamic adjustment of cross-over and mutation rate is achieved by calculating the individual measure of similarity and fitness and searching for the more global optimum. The proposed method is applied and experimented on a benchmark of five industrial projects. The results of the experiments have confirmed the efficiency of generating test cases that have optimum path coverage. 2023 by the authors. -
An autonomic computing architecture for business applications
Though the vision of autonomic computing (AC) is highly ambitious, an objective analysis of autonomic computing and its growth in the last decade throw more incisive and decisive insights on its birth deformities and growth pains. Predominantly software-based solutions are being preferred to make IT infrastructures and platforms, adaptive and autonomic in their offerings, outputs, and outlooks. However the autonomic journey has not been as promising as originally envisaged by industry leaders and luminaries, and there are several reasons being quoted by professionals and pundits for that gap. Precisely speaking, there is a kind of slackness in articulating its unique characteristics, and the enormous potentials in business and IT acceleration. There are not many real-world applications to popularize the autonomic concept among the development community. Though, some inroads has been made into infrastructure areas like networking, load balancing etc., very few attempts has been exercised in application areas like ERP, SCM, or CRM. In this paper, we would like to dig and dive deeper to extract and explain where the pioneering and path-breaking autonomic computing stands today, and the varied opportunities and possibilities, which insists hot pursuit of the autonomic idea. A simplistic architecture for deployment of autonomic business applications is introduced and a sample implementation in an existing CRM system is described. This should form the basis of new start and ubiquitous application of AC concepts for business applications. 2012 IEEE.