Year: 2021 | Conference Paper | Publisher: Scitech Conference Xplorer
Abstract:
This study explores the rise of digital banking in India's banking industry by investigating customer perspectives on digital business strategies. With the rapid advancement of technology and changing consumer preferences, traditional banking practices are being disrupted by digital innovations. Through qualitative research methods including interviews and surveys, this paper examines the adoption of digital banking services, perceived benefits, challenges, and preferences among Indian bank customers. Key findings shed light on the factors influencing customer behavior, satisfaction levels with digital banking platforms, and expectations for future developments. The study contributes to a deeper understanding of the evolving landscape of digital banking in India and provides insights for banks to develop effective digital strategies that meet the needs and expectations of their customers. Keywords: Digital banking, Customer perspectives, Digital business strategies, India, Banking industry, Technology adoption, Customer satisfaction, Qualitative research.
Year: 2021 | Conference Paper | Publisher: Scitech Conference Xplorer
Abstract:
Recent advancements in healthcare have efficiently implemented precautionary measures and treatments for a variety of disorders to promote a healthier life for individuals. Utilizing technology, these innovations focus on predicting disorders at early stages, ensuring timely and appropriate treatment to safeguard lives. The electrical activity of the brain, encompassing alpha, beta, theta, and delta waves, provides crucial information for frequency analysis, aiding in the early detection of neurological disorders. This electrical data is particularly instrumental in predicting and analyzing epilepsy. The primary objective is to identify epilepsy by analyzing Electroencephalogram (EEG) signals, initially categorizing them based on frequency ranges and comparing them to amplitude thresholds. The presence or activation of epilepsy is signified by amplitudes surpassing a specified threshold, and additional indicators include warnings or flickering of Light-emitting diodes (LEDs) tied to specific frequency levels. The Laboratory Virtual Instrument Engineering Workbench (LabVIEW) simulation software processes EEG inputs to generate prediction results. Furthermore, the implementation of the Support Vector Machine (SVM) model enhances the accuracy of epilepsy seizure detection. Keywords: Epilepsy; Electroencephalogram Signal; LabVIEW; Machine Learning; Seizure detection; Support vector machine
Year: 2021 | Conference Paper | Publisher: Scitech Conference Xplorer
Abstract:
Chia (Salvia Hispanica L.) is a little seed which comes from the annual blossoming plant. In recent times, the utilization of chia seeds has stupendously grown because of the increased nutritional and medicinal values. Chia seeds consist of the nutria components such as ω-3 fatty acids, polyunsaturated fatty acids, dietary fiber, proteins, vitamins, and some of the minerals. The biological stuffs like antioxidants, such as caffeic acid, rosmarinic acid, myricetin, quercetin, and others also presented in it. The above-mentioned components are prevented from the damage of cells of the various body parts, which can yield in disparate types of cancer includes breast, colorectal, liver, and pancreatic. Around the world, the researches were involved in the investigation in benefits of chia seeds in the medicinal, pharmaceutical, Nutraceuticals and food industry. The extraction of chia seeds oil involves various methods, which high lightens the importance of chia seeds in current market. Components presented in chia seeds are obliging in cardio vascular diseases via reducing the blood pressure, platelet assemblage, level of cholesterol and oxidation. Chia seeds also involve in gastro intestinal tract related diseases like diabetes mellitus and constipation, chia seed fiber decreases the blood sugar level and produce bulk to stool. In the present study, considerable overview about the chemical, nutritional composition, antioxidant and anti-microbial activities, alongside the incorporation of chia seeds in various food items were analyzed via the usage of various evaluation methods. Keywords: Chia seeds, Anti-oxidants, Nutria components, Nutraceuticals and Phenolic compounds.
Pooja Patidar, Dr.Sandeeparya, Dr. Abhishek shukla
Year: 2021 | Conference Paper | Publisher: Scitech Conference Xplorer
Abstract:
For computers to be able to see, researchers are studying computer vision. Even the most general computer vision problems include drawing conclusions about the environment from images. It draws from a variety of disciplines and might be considered a subfield of AI and ML, which employ both generalizable and domain-specific learning strategies. The use of techniques from other fields, such as computer science and engineering, can make interdisciplinary research appear disorganized. A sophisticated ensemble of generic machine learning algorithms can be needed to handle a different visual problem than a hand-crafted statistical technique. Modern science has revolutionized computer vision. Exciting and often chaotic, frontier areas often have few trustworthy authorities. Some theories work in theory but not in practice, while many excellent ideas are theoretically unfounded. A lot of the developed world is spread out and can look like it's out of reach. These days, deep learning, machine learning, and computer vision all work well. The cornerstones of any school are its teaching and learning programmes. Students' actions and presence in class are closely observed alongside their academic progress. Classroom monitoring, emotion recognition, appraisal, and real-time attendance tracking were some of the computer vision applications studied in this research. A wide range of viewpoints have explored computer vision. Digital picture processing, pattern identification, machine learning, and computer graphics are all a part of it, in addition to raw data recording. Because of its extensive application, many researchers include it into a wide range of disciplines. Keywords: Computer Vision Applications, Artificial Intelligence, Machine Learning, Enhanced Method.
Year: 2021 | Conference Paper | Publisher: Scitech Conference Xplorer
Abstract:
The recently developing corpus of study on IT and organizational learning. After discussing issues of significance and appraisal, we separate and review two categories of inquiry: studies that address how information technology is planned to support organizational learning, and studies that apply organizational learning concepts to the most common way that information technology is implemented and involved in associations. By creating a model in light of dynamic capacities, this research examines the implications of an organizational learning culture for organizational agility. The model perspectives agility as a unique capacity and makes sense of how organizational learning culture (OLC) impacts organizational agility (OA), which thus prompts association improvement. This sets off a progression of occasions that are eventually made sense of by the model. This report likewise examines the job that gigantic information abilities play in changing learning results into dynamic limits. Information from an appraisal of 150 Bengaluru associations is utilized to test the idea. The basic condition introducing utilizing mostly least squares is taken on to unequivocally represent how agility absolutely abrogates the effect of the learning culture on improvement. Moreover, this work reveals further insight into the job that tremendous information limits play in directing the impacts of OLC on OA. The report finishes up with ideas for additional exploration in the wake of framing the discoveries concerning hypothesis and practice. Keywords: Interplay, Technology, Organizational Learning, Organisational Learning Culture, Organisational Agility, Information technology
Year: 2021 | Conference Paper | Publisher: Scitech Conference Xplorer
Abstract:
In today's business landscape, the imperative for corporate sustainability has never been more pressing. This paper explores the intricate balance between environmental stewardship and profitability through green management strategies. It delves into the significance of integrating sustainable practices into corporate operations and highlights the challenges and opportunities faced by organizations in achieving this balance. Through an analysis of various researchers and methodologies, this paper offers insights into effective green management practices. Furthermore, it presents findings and recommendations aimed at fostering sustainable development while ensuring economic viability. Ultimately, the paper underscores the critical role of green management strategies in driving corporate sustainability in the modern era. Keywords: Corporate sustainability, Environmental stewardship, Profitability, Green management strategies, Economic viability, Modern era.
Year: 2021 | Conference Paper | Publisher: Scitech Conference Xplorer
Abstract:
This paper depicts a comprehensive analysis of the effectiveness of bank privatization in both developing and under-developed countries. This study tries to portray the alignment of bank privatization with its positive impact on the financial sector in economically backward countries. First, this study examines the actual effect of transferring ownership of public banks into the hands of private entities. Secondly, it tries to navigate the performance of the private bank in a long-run phenomenon. The regression and descriptive analysis of the time series and cross-sectional data indicate that the changing ownership of the public banks to the private sector increases economic activities, societal movements and political stability in economically backward countries. Keywords: Bank privatization, economically backward countries, Foreign Direct Investment
Dr. Rajesh. P. Jawajala, M Raja, Dr.H.Geetha, Dr. Parth M. Pandya, Dr. RAJESH KANNA M.R., Sujay Mugaloremutt Jayadeva
Year: 2021 | Conference Paper | Publisher: Scitech Conference Xplorer
Abstract:
Benchmarking is essential to the pursuit of organizational excellence because it allows businesses to assess their performance in relation to rivals and industry norms. The goal of this research is to discover the critical elements influencing organizational excellence by doing a thorough statistical analysis of performance measures used in benchmarking procedures. By analysing a range of performance measurements, including financial metrics, customer happiness, quality, productivity, and efficiency, this study attempts to shed light on the factors that matter most when it comes to creating successful organizations. By using statistical methods such as correlation analysis, regression analysis, and variance analysis, we investigate the connections between various organizational outcomes and performance measures. The results clarify the role that certain KPIs play in fostering excellence in companies and provide insightful information to decision-makers who want to improve their competitive edge in the market. Keywords: Statistical Analysis, Performance Metrics, Benchmarking, Organizational Excellence, Efficiency, Productivity, Quality, Customer Satisfaction, Financial Metrics
Year: 2021 | Conference Paper | Publisher: Scitech Conference Xplorer
Abstract:
Photonic crystal sensors are a cutting-edge technology that leverages the unique properties of photonic crystals to detect and analyze various substances or environmental conditions. These sensors are revolutionizing fields such as biomedical sensing, environmental monitoring, and telecommunications due to their high sensitivity, rapid response, and ability to operate in harsh conditions. Periodic nanostructerd photonic crystals posses the ability to control flow of light in a similar manner how semiconductors control electron flow. By carefully engineering the periodicity and refractive index contrast within these structures, photonic crystals can create photonic bandgaps, which prohibit the propagation of certain wavelengths of light. This property of photonic band gaps forms the basis for the sensor's functionality. In photonic crystal sensors, changes in the surrounding environment, such as the presence of specific molecules, alterations in temperature or variations in pressure can induce changes in these photonic bandgaps. These changes are then detected through various optical mechanisms, such as shifts in the wavelength of reflected or transmitted light, alterations in the intensity of light or modifications in the polarization state of light. The most advantageous feature of photonic crystal sensors is their high sensitivity. Due to the precise control over the interaction of light with the environment provided by photonic crystals, these sensors can detect extremely low concentrations of analytes, making them invaluable for applications such as early disease diagnosis, environmental pollutant monitoring, and food safety. Moreover, photonic crystal sensors offer several other advantages, including their compact size, compatibility with integrated optical circuits, and potential for multiplexed detection of multiple analytes simultaneously. These features make them suitable candidates for the development of portable, cost-effective, and highly accurate sensing platforms for various applications. As research in this area continues to advance, we can expect further innovations that will enhance their performance, expand their capabilities, and unlock new applications in the future. In this paper, we have analyzed about 2D PhC structures proposed for RI measurements. The sensing technique is typically done by the usual way of finding the resonant wavelength shift , which is attributed to the change in refractive index of the PhC. To study the properties of the sensor researchers use 2D finite-difference time-domain (FDTD) methods. Keywords: Photonic crystals sensors, PhC waveguides, RI sensors, Lumerical – FDTD, Sensitivity.
Venkata Chunduri, Inas Ismael Imran, Mutaz Mohammed AbuHashish, M Raja, Dr. Piyush Charan, Dr. GANESH KUMAR R
Year: 2021 | Conference Paper | Publisher: Scitech Conference Xplorer
Abstract:
“Both augmented and mixed reality rely heavily on the concept of "interaction." Mixed reality environments and applications involve interaction between humans, physical environments, and computers. This interaction can take place among both. In the past few decades, human-computer interaction techniques and strategies have been subjected to extensive research; nonetheless, these approaches and strategies must be rediscovered in immersive environments. For example, the Internet of Things and the 5G GSM network are examples of technologies that have enabled advanced input techniques and computer environmental awareness. Other examples include new sensors, computing capacity, and technologies. It's possible that mobile users' interactions with real or virtual objects could be improved by using pervasive sensors that are connected to a high-speed GSM network. As technological advancements continue, researchers can characterize their work by employing notions such as multimodal, tangible, and collaborative encounters. Keywords: Enhancing Spatial Computing, Augmented Reality, Transforming Human-Computer Interaction, human–computer interaction, mixed reality, User-centered system design, user experience, augmented reality, Extended Reality, Virtual Reality, Mixed Reality.
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