Volume 12 | Issue 4 |

 Abstract

Citizens in India have a duty and a right to vote, but the fundamentals of democracy are being called into question by the alarming drop in voter turnout. The old system, which requires actual presence, risks vote tampering and excludes a large number of people, particularly the physically impaired and those living in remote cities. By incorporating Aadhar-linked biometrics, such as fingerprint and facial scans, Secure Vote provides a novel way to strengthen the democratic process. This breakthrough uses face and fingerprint detection to reduce false votes, improving voting security and accuracy with LBPH (Local Binary Pattern Histogram) algorithms. But protecting privacy, safeguarding data, and accommodating those without Aadhar present significant issues that need to be resolved if this revolutionary strategy to strengthen democracy is to succeed.

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 Keywords

Fingerprint , Facial recognition, Adhaar number

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Over the span of the past decade, a significant body of research has been dedicated to the progressive evolution of healthcare services through cutting-edge technological advancements. Particularly noteworthy in this transformative landscape is the Internet of Things (IoT), showcasing its potential by seamlessly connecting a diverse array of medical devices, sensors, and healthcare professionals. This interconnected ecosystem has not only facilitated the delivery of high-quality medical services in remote settings but has also ushered in commendable enhancements in patient safety, instigated cost-effectiveness within the healthcare paradigm, broadened access to medical services, and elevated operational efficiency across the expansive healthcare sector. This contemporaneous study serves as a comprehensive and up-to-theminute compendium, offering a panoramic overview of the manifold applications of IoT-based technologies in healthcare, commonly denoted as HIoT. The study diligently traces the evolutionary trajectory of HIoT applications, engaging in a meticulous analysis of enabling technologies, the diverse spectrum of healthcare services impacted, and innovative solutions meticulously crafted to confront the diverse challenges prevalent in the healthcare domain. Furthermore, the study delves into a nuanced exploration of potential challenges and issues inherent in the HIoT system, encompassing the complex interplay of technological, ethical, and regulatory considerations. In summation, this expansive and thorough study stands as an invaluable reservoir of knowledge, providing not just insights but a comprehensive understanding of the multifaceted realms of HIoT applications. It is meticulously designed to not only inform but also guide and inspire future researchers, cultivating a deeper understanding for those eager to contribute to the ongoing advancement of this dynamic, rapidly evolving, and critically important field at the intersection of healthcare and technology. Beyond the tangible benefits mentioned earlier, HIoT has opened avenues for personalized medicine, real-time health monitoring, and predictive analytics.

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 Keywords

Index Terms--IoT, Flutter, SpringBoot, Healthcare, HIoT, sensors, real time, health monitoring .

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This study suggests a Convolutional Neural Network based Computer Aided Diagnosis model for the detection and diagnosis of breast cancer. It is mainly done using the three datasets for the accurate prediction and classification. Such as MIAS and DDSM dataset of the Mammography images and BUS dataset of the Ultrasound images. Five learnable layers make up the primary CNN model: one fully connected layer and four convolutional layers. With fewer parameters, the model makes it easier to automatically extract significant characteristics from breast cancer pictures, and it is a good fit for a variety of machine learning applications. The model includes several elements, such as transfer learning techniques and high-level feature learning. Extensive simulation results on breast cancer image datasets depicts that the model performs better in terms of performance metrics and training speed of the dataset. It also eliminates the need of the traditional handcraft feature selection and extraction steps. Data augmentation is the primary method used to lessen the model's overfitting and produce good results for each dataset. [2] The proposed Hybrid CNN based CAD model provides good accuracy in available three datasets and is evaluated using different performance metrics and methods. On top of that, we have used some predefined CNN Models like VGG-16, ResNet-50, Inception V3, MobileNet V2, DenseNet-169 to enhance our model's accuracy and provide faster training speed of the MIAS, DDSM and BUS datasets, respectively.

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 Keywords

CNN, CAD, VGG-16, ResNet-50, Inception V3

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We are in the era where women are getting empowered economically, socially and politically and are able to live their lives on their own, but can a woman really be empowered without Safety and Security? Safety is the first step towards women's empowerment, but we are still far behind in providing safety to women. According to NCRB Report 2021, crime against women has increased by 15.3% from the previous year in 2021. Every girl or woman has to face inappropriate behavior towards her at least once in her life, like lewd comments, bad touching, eve teasing, molestation, etc., and such inappropriate behavior instills a fear in the mind of women that remains with them throughout their life as a woman. This fear puts a question mark on women's empowerment, which has always been a burning issue for Social Development. This Paper is based on Qualitative research and uses secondary data and discusses safety as an essential factor for women's empowerment. This paper highlights the major threats related to the safety of women, the types of security and safety that women need, the current scenario of women's safety and how it is affecting women's empowerment, and the provisions and measures adopted by the government of India.

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Women's Safety, Empowerment, Gender-based violence, NCRB

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In the realm of portfolio management, this research paper delves into the efficacy of dynamic risk allocation strategies in maximizing risk-adjusted returns. It critically examines the conventional wisdom of static asset allocation frameworks, which predominantly hinge on historical risk-return profiles. Recognizing the inherent limitations of such static approaches, particularly in the face of dynamic and swiftly shifting market landscapes, this study endeavours to unveil the potential of alternative dynamic risk allocation methodologies. These methodologies are designed to transcend the rigidity of traditional allocation strategies by actively recalibrating portfolio allocations in real-time, in response to the ever-evolving tapestry of risk factors, market volatilities, and macroeconomic dynamics. Through a comprehensive exploration of these alternative strategies, this paper aims to shed light on their adaptability and robustness in navigating the complexities of modern financial markets, ultimately paving the way for more agile and responsive portfolio management practices.

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Portfolio management, Dynamic risk allocation, Risk-adjusted returns, Market volatilities, Macro-economic conditions, Alternative strategies, Adaptive allocation, Financial markets.

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This paper presents the implementation of an Arduino Uno, RF Module, IR Sensor, Vibrator Sensor, GSM, GPS, LCD, DC Motor, L293DIC Driver, and buzzer. Bad visibility conditions which occur due to fog in winter or night time driving are the major causes of road accidents in India. The principle cause for such accidents is the unintentional ignorance of speed breakers which may be due to the driver not being able to detect them or may be due to over speeding of vehicles. This project brings an idea of a speed breaker system that helps in detecting presence of speed breakers well in advance so that such accidents can be avoided. This system makes use of a RF module that warns the person who is driving about the existence of a speed breaker in proximity, with this it assists in automatically reducing the vehicle's speed if no action is taken by the driver in time. Through Global Positioning System (GPS) the locations of speed breaker can be sent to cloud and stored for future avoidance of road mishaps.

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Arduino Uno, Vibrate Sensor, IR Sensor, Motor driver, DC motors, RF Module, GSM, GSM, LCD and buzzer

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This paper is to design and development of an Rectangular Microstrip Patch Antenna for 5G Applications. The transition from 1G mobile technology to 2G, 3G, and 4G is happeninggradually as a result of tremendous technological advancement and the enormous needfor data traffic. Fifth generation cellular (5G) technology, which virtually eliminates thedrawbacks of earlier technology that offers data speeds in Gigabits/sec (Gbps) and serves the quickly expanding class of low powerInternetofThings(IoT) applications.Afurtherexpanding areainmanyindustries isthe integrationofRadioFrequencyIdentification(RFID)and5Gtechnologies.Itissimulated and can be designed by the High Frequency Structure Simulator (HFSS) tool. For5Gapplicationsoperatingat27GHz,amicrostriplinefedrectangularpatchantenna has beensuggested.Theefficiencyofthemicrostrippatchantennacanbeincreased than the existing method. The suggested antenna isa promising contender for 27 GHzmillimeterwave(mm-wave)applicationssinceithasacompactdimension(20x17x 1.575 mm3), a wide bandwidth, good gain and directivity.

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RFID, IOT, HFSS tool etc.

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 Abstract

tanaav vyakti aur paryaavaran ke beech ka ek rishta hai jo duniya bhar mein sabase gambheer svaasthy samasyaon mein se ek ban gaya hai. vishv star par, tanaav kee vyaapakata se pata chalata hai ki 28h purush aur 53h mahilaen kaam-parivaar ke tanaav se gujarate hain. eshiyaee deshon mein isaka prachalan aur bhee adhik hai. bhaarat mein 87% mahilaen kaam aur parivaar ko sambhaalane ke lie samay ko lekar tanaavagrast hain.

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Varanasi shahar, kaamakaajee mahilaain, tanaav, kaarak.

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This paper covers an overview of the writer to frame a theoretical and proactive environmental approach to popularize environmental ethics among the common people who engaged in the grassroot level activities of social life. For that, the author analyses a story written in the Malayalam language named Bh?miyu?e Avak??ika? by the famous writer Vaikom Muhammed Basheer using discourse analysis in terms of Environmental Ethics on gender perspectives to visualize the same in a philosophical and sociological manner as the discipline comprises axiological aspects of Philosophy. Further to make the practices of environmental ethics in real life and to popularise it among the public by highlighting the role of women in environmental ethics. Some of the policy implementation experiences in the Amballoor Panchayath in Ernakulam district of Kerala state wherein the author resides were analyzed using qualitative research methods to exemplify the connection between Domestic environmentalism, environmental ethics and women empowerment. For that, different environmental activities implemented by Amballoor Panchayath in Ernakulam district and the involvement of women practitioners of Kudumbasree units of the Panchayath were studied and found its role in developing environmental ethics. Also, it covers several contemporary events evidencing the relationship between sustainable development activities and environmental ethics. Thus, the paper tries to synthesize the theoretical and practical approach of environmental ethics through outcome-based pedagogy and to develop a framework for Domestic Environmentalism the habitual practices of sustainable development which is enabled to promote women's empowerment as the two sides of a coin.

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Key Terms: Environmental ethics, Discourse analysis, Outcome-based pedagogy, Women empowerment, Sustainable Development, Domestic Environmentalism

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This study embarks on a comprehensive analysis of the competitive landscape faced by Workhall Pvt Ltd, a pioneering entity in the Business Operations Support (BOS) domain. The objective is to dissect the intricacies of the competitive environment within which Workhall operates, focusing on the innovative solutions it provides through its platform. Utilizing a mixed?methods approach, this research delves into the core aspects of competitor analysis, including product quality, innovation levels, strengths, and weaknesses, alongside a detailed examination of employee perceptions regarding these dimensions. By integrating both quantitative and qualitative data, the study aims to furnish a multi-dimensional perspective on Workhall's standing amidst its rivals, shedding light on strategic insights and potential pathways for enhancing its competitive edge. The analysis is predicated on the hypothesis that understanding the nuances of competitor dynamics and internal perceptions thereof can significantly empower Workhall to refine its strategies, optimize operations, and ultimately secure a vanguard position in the BOS market.

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 Keywords

Employee Perception, Competitor Analysis, SWOT

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