Volume 12 | Issue 3 |

 Abstract

The squarer architecture is designed to provide low power, speed, and area for all the fields of image processing, animation and signal processing. This paper explains a squarer architecture using a Vedic multiplier and adders. The proposed architecture uses a different adders(CSA, KSA) to increasing the speed and to reduce the power and delay of squarer architecture.The main advantage of this proposed technique is that it focuses on reduced circuit complexity. The proposed method is coded in Verilog language. The square architecture will be performed in Xilinx Vivado 2016.4 version software by selecting the ZED board.

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 Keywords

Vedic multiplier, square architecture, Carry save adder(CSA), Kogge stone adder(KSA)

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This article delves into the multifaceted aspects of Belladonna, a prominent homeopathic remedy derived from the Solanaceae family. Exploring its botanical roots, alkaloid composition, and toxic effects, the study highlights Belladonna's significance in addressing both acute and chronic health issues. The article elucidates its diverse clinical applications, emphasizing its efficacy in treating conditions ranging from headaches to gastrointestinal problems. By providing insights into Belladonna's drug picture and therapeutic scope, this work aims to enhance the understanding of its potential in homeopathic practice.

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 Keywords

Belladonna, Solanaceae family, alkaloids, homeopathic remedies, atropine, clinical applications, drug picture, inflammation, acute and chronic conditions, therapeutic scope.

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 Abstract

Internships are an essential part of a student's educational journey, providing practical exposure to real-world scenarios and allowing them to apply theoretical knowledge to practical situations. My internship with the Deepak Foundation for Patient-Provider Support Agency (PPSA) under the National Tuberculosis Elimination Program (NTEP) was a transformative experience that empowered me with a deeper understanding of public health initiatives and the challenges faced in eradicating tuberculosis. The framework of the National Tuberculosis Elimination Program (NTEP), specifically working with the Patient-Provider Support Agency (PPSA). This narrative encapsulates my journey as I engaged with a multidisciplinary team dedicated to fostering change at the grassroots level. Through collaborative efforts, the PPSA seeks to bridge gaps between patients and healthcare providers, thereby enhancing the effectiveness of tuberculosis (TB) treatment and care. Over the internship duration, I observed and contributed to innovative strategies aimed at improving patient education, provider training, and systemic communication. This abstract offers insight into the challenges, successes, and lessons learned during my association with the PPSA. By delving into the intricacies of this internship, it underscores the significance of comprehensive support frameworks in realizing national public health objectives, ultimately contributing to the larger goal of tuberculosis elimination.

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 Keywords

NTEP, PPSA, Public Health, Tuberculosis.

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 Abstract

to determine the sex the skull and skeletal plays an important role for the archeologists, physical anthropologist, and forensic anthropologist. To gain by using the knowledge of osteology of human anatomy. Due to its anatomical position of mastoid process at basolateral region of skull so it is the most dimorphic bone which it is least damaged. The parameters of mastoid process are larger in males than in females. In present study to determine the sex in unidentified skulls an attempt has been made to evaluate the use of mastoid process measurements. For that to test the accuracy of sex determination using discriminant function analysis.

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 Keywords

Discriminant Function analysis; Mastoid process; Sex determination.

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 Abstract

Rasa is an essence of every work of art like dance, music and Literature that can only be suggested and not articulated. It is a type of thoughtful abstraction in which the world of physical forms is permeated by the interiority of the human feelings. However, the word may seem magical at first but it is not so in actual because to experience rasa one does not need any magical spell but has to be sensitive enough to connect with the emotions of the work. It is the concept of emotions, connections and feelings. This research paper aims to explore the meaning, history and scope of rasa theory in present scenario.

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 Keywords

Aesthetic, Emotion, Feeling, Indian, Literature, Rasa

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Creative Commons Attribution 4.0 and The Open Definition

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E-commerce has rapidly transformed the retail and commerce landscape in India. While e-commerce has made shopping more convenient for consumers, providing wider selections and competitive pricing, its growth has also been accompanied by increased cybercrime. This paper investigates the relationship between the rise of e-commerce and cybercrime rates in more comprehensive selections in India by examining existing literature and statistical analysis of government and industry data. The anonymity afforded by the Internet, coupled with jurisdictional ambiguities across international boundaries, constrain efforts to identify these fraudsters and investigate cross-border cybercrimes. Demands for reform include expanding definitions of cybercrimes, increasing penalties, enabling faster trials and granting law enforcement access to digital forensics and surveillance tools while protecting citizen privacy. Acute jurisdictional complexities arise in investigating cross-border e-commerce cybercrimes spanning multiple nations with divergent legal protocols. Despite the benefits of online financial transactions, people started highlighting the fear of financial cybercrimes among the top concerns that impact their daily lives. It concludes that optimised regulation is imperative to enhance India's cyber readiness, leveraging the digital public goods generated by e-commerce innovations while safeguarding citizen rights and cyber-physical security. Recommendations encompass reforming legal frameworks, strengthening law enforcement capabilities, augmenting cybersecurity protocols, enhancing public awareness, and fostering greater public-private collaboration focused on the prevention, detection and deterrence of emerging e-commerce-related cyber threats.

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 Keywords

E-commerce, Cybercrimes, Financial fraud, Identity theft, IT Act 2000, Cybersecurity

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 Abstract

This study aims to identify how investors view mutual funds considering different aspects of investment decisions. For this descriptive research, the primary data was collected through a structured questionnaire and tested with the hypothesis. The variables like Risk Tolerance, Return Expectation, Financial Knowledge, Investment experience, Information source, Fee and Expenses, Market Conditions, Investment Goals, and Reputation of Fund Manager are used to identify the factors influencing the perception of investors toward mutual fund investments. The collected data is analyzed through Correlation analysis and the Chi-square analysis. The study concludes that risk, return, market condition, investment goals, investment experience, and reputation of fund managers have a positive outlook on mutual funds.

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 Keywords

Mutual funds, Perception, Correlation, Chi-Square.

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 Abstract

The increasing demand for efficient management of underground pipelines has led to the development of a Real-Time Remote Monitoring and Control System (RRMC) based on the Internet of Things (IoT). This system utilizes a diverse array of sensors, including pH, temperature, and soil moisture sensors, alongside cathodic protection technology to continuously monitor the condition of underground pipelines. The data collected from these sensors is processed and transmitted to a central hub via a Microcontroller PIC 16F877, which is equipped with IoT capabilities. The RRMC system not only enables real-time monitoring of pipeline parameters but also facilitates proactive decision-making by providing early detection of potential issues such as corrosion or leaks. Additionally, an LCD display offers on-site visualization of critical information. This innovative IoT-based solution enhances pipeline safety, reduces maintenance costs, and ensures the uninterrupted flow of essential resources, ultimately contributing to the sustainability and reliability of underground pipeline networks. Real-time remote monitoring and control systems for underground pipelines, powered by the PIC 16F877 microcontroller and integrated with IoT, are engineered for efficient pipeline management. These systems utilize the 16F877 capabilities to collect and process data from sensors, including pressure, temperature, and leak detectors, ensuring real-time awareness. IoT connectivity enables remote control and monitoring. This amalgamation offers enhanced safety, reduced downtime and cost-efficient maintenance.

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 Keywords

Pipe Inspection, Soil Moisture, Pipeline and Remote Control Center.

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 Abstract

Systems for recommending healthcare have drawn a lot of interest recently due to their potential to enhance patient outcomes and treatment. By analyzing pertinent studies, approaches, and findings, this review of the literature aims to analyze the current condition of patient health care referral systems. In the area of patient-based health recommendation systems, the study emphasizes major research areas, obstacles, and potential approaches for the future. These days, healthcare administration is highly sought after because it is so beneficial to running a hospital or a doctor's office. The globe is being impacted by the expansion of health management systems on a daily basis. The increasing demand for healthcare is caused by a number of factors, including healthcare solutions. The health prediction system is a project for online user assistance and consulting. In this study, we suggest a solution that enables users to get prompt online health advice from a smart health system. The system contains numerous ailments and symptoms linked to various systems. Using data mining tools, the most likely disease linked to a patient's symptoms can be identified. A doctor can access his patient's information and report in the doctor's module by logging into the system. Doctors can examine the patient's search history and the information the patient is seeking for based on their prognosis. His data is available to the doctor. The database's administrator can add new disease details, including the disease's kind and symptoms. Based on the name and symptoms of the condition, the data mining system operates. The database of ailments and symptoms is accessible to the administrator. In a variety of fields of application, such as the healthcare recommendation system (HRS), recommender systems use various machine learning (ML) approaches to user suggestion and recommend services or entities. The HRS and many application areas are now using ML techniques from the field of artificial intelligence because to the enormous number of algorithms shown in the literature. However, it appears to take a lot of time to choose a suitable ML algorithm for a health recommender system.

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 Keywords

Artificial Intelligence, Machine Learning, Recommendation System, Algorithm, Data Mining

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The traditional Min-Min algorithm is a simple, efficient algorithm that produces a better schedule that minimizes the total completion time of tasks than other algorithms in the literature [7]. However the biggest drawback of it is load imbalanced, which is one of the central issues for cloud providers. In this paper, an improved load balanced algorithm is introduced on the ground of Min-Min algorithm in order to reduce the makespan and increase the resource utilization (LBIMM). At the same time, Cloud providers offer computer resources to users on a pay-per-use base. In order to accommodate the demands of different users, they may offer different levels of quality for services. Then the cost per resource unit depends on the services selected by the user. In return, the user receives guarantees regarding the provided resources. To observe the promised guarantees, user-priority was considered in our proposed PA-LBIMM so that user's demand could be satisfied more completely. At last, the introduced algorithm is simulated using Matlab toolbox. The simulation results show that the improved algorithm can lead to significant performance gain and achieve over 20% improvement on both VIP user satisfaction and resource utilization ratio.

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 Keywords

Cloud Computing; User-priority Aware; Load Balance; Makespan; Min-Min Algorithm; Cloud Task Scheduling

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