Volume 12 | Issue 1

 Abstract

The chimney structures are tall and generally placed in regions of high gust. The design of chimney has significant effect on wind load bearing characteristics of chimney. The research is intended to investigate the effect of wind load on structural characteristics of chimney. The wind load analysis of chimney structure is conducted using techniques of Computational Fluid Dynamics. The CAD modeling and CFD simulation of chimney is conducted using ANSYS CFX software. The lateral deformation and induced pressure is evaluated for different chimneys. The edge treatment on tapered chimney has significant effect on magnitude of induced pressure and drag force on chimney. By changing the sharp edged chimney to filleted edge chimney the drag force and shear stress reduced significantly.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Chimney, wind load

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Bronchial asthma is a serious global health problem. 5% to 10% of persons of all ages suffer from this chronic airway disorder. This review article presents homeopathic medicines and treatment of bronchial asthma .Cases summary: This is a case of patients suffering from bronchial asthma having the complaints of cough shortness of breath , wheezing along with itching all over the body . The patients were prescribed indicated constitutional Homeopathic medicines and at the end of treatment showed reasonable improvement in disease as well as in the quality of life.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

HAMSA HOMEOPATHY MEDICAL COLLEGE, HOSPITAL & RESEARCH CENTRE

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The skin is the largest organ in the body, and fungus infections are among the many conditions that affect it. Skin disorders are common worldwide. According to Ayurveda, all skin diseases are categorised under the term Kushtha. In Ayurveda Dadru and Pama is one of the common skin diseases mentioned in Ayurveda. Ayurveda has described 'Samshodhana' (Bio-purification), 'Samshamana' (Pacification) and 'NidanParivarjana' (Avoiding causative factors) as main therapy for many diseases including skin disorders.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Kushtha, Dadru, Pama, Skin diseases

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: This paper presents a system that embodies the essence of sonic detective work. Like a musician, it first extracts certain features from the sound, identifies individual instruments, checks the notes or sounds they play, and then synchronizes the notes with the music. The end result is like a beautiful piece of music that takes the messy sounds and organizes them into something pleasant. It could be a new music mix or music score. People can listen to it and have a great time enjoying the music. This project is designed for listening to polyphonic music played by a variety of instruments together, and it does a lot of things well. For the purpose to advance the musical field we are developing the system that is capable of identifying instruments from polyphonic instrument sound from the feature extracted using Kernel PCA (Probabilistic Component Analysis) ,the classification is performed using SVM (Support Vector Machine).This allows system to efficiently identify the instruments. Then the pitch is detected from the instruments identified using Cepstrum method which is capable of detecting pitches from detected instruments. The detected pitches are then synchronized to provide a synthesized audio file as output using HMM (Hidden Markov Model) and DTW (Dynamic Time Wrapping).

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine Learning, Kernel PCA, Kernel Probabilistic Component Analysis, Support Vector Machine, Hidden Markov Model, Cepstrum, Dynamic Time Wrapping, Tune Detection, Instrument Recognition, Pitch Detection, Synchronization, Classification , Feature Extraction, Audio Preprocessing, Synthesized Audio Generation

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Considering the enormous difficulties that the globe is experiencing in providing food for an ever-increasing population, the incorporation of technology into agricultural practices has become an absolute need. Climate-controlled agricultural facilities, such as greenhouses and hydroponic systems, provide methods of food production that are both effective and environmentally friendly. It is essential to have the capacity to monitor and control plant health in order to get optimal results while optimizing these habitats. The purpose of this study is to investigate the use of machine learning techniques for the categorization of plants in controlled agricultural situations with the intention of improving precision agriculture operations. One of the most important components of a plant is water. Along these lines, the development of plants is extremely dependent on the changes that occur in the amount of water that is contained within the plant. There have been a lot of different approaches that have been developed in order to enhance plant development in times of water scarcity and dry period pressure. The purpose of this study is to organize and construct an intelligent framework that will promote plant development in a constrained water environment. This framework will be based on Support Vector Machine (SVM) and machine vision. Shading, morphological, and textural highlights were finally isolated from a large number of photographs of turf grass, wheat, and rice plants that were taken under pressure circumstances that were typical of the dry season. At that point, an SVM and an ANN were utilized in order to supervise the process of information organization by using them. When the SVM was used as the classifier, the results showed that the general arrangement exactness of ANN was 92%, and greater correctness were obtained when the SVM was used. The general precision of the SVM was 98.00% for both fresh and wilted plant conditions.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Classification, computer vision, controlled-environment agriculture, image compression, machine learning.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The method of credit scoring involves a set of decision models that help in granting consumers loan and credit [1]. Since it involves many decisive statements, we employ machine learning models to predict the credit score of a consumer. The following chapter will investigate into the details of machine learning or ML model usages, such as the understanding of model outputs, structure modification, and constant investigation of work [2]. These understandings intend to cultivate the prognostic abilities, donating implicitly to the dominion of credit score forecast. Credit assessment has an essential part in the monetary business, leading the lending choices and handling the danger. Usually, this evaluation depends on physical approaches and comparatively humble scoring representations [3]. By bridging research gaps in credit scoring methodologies, specifically, model interpretability, fairness, and adaptability this project makes substantial contributions to advancing the comprehension and application of machine learning in the realm of credit risk assessment. The system's design prioritizes simplicity and transparency, fostering reproducibility and accommodating future expansions in credit scoring research and practical implementations.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Credit Score; K-Nearest Neighbours; Support Vector Classifier; Random Forest; confusion matrix; correlation; Min-Max scaling

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The use of electronic voting in elections for public office is becoming more common around the world. This trend can be attributed to the advantages of these systems, such as remote voting capabilities and rapid vote counting. Additionally, electronic voting machines provide greater privacy and increase protection against fraudulent voting. Blockchain technology increases the power of the voting process through an immutable voting process, thus reducing the threat of vote manipulation and maintaining the legitimacy of the election surge. The technology has been adopted by countries such as Germany, Russia, Estonia and Switzerland for use in electronic voting systems. This study provides an overview of blockchain-based electronic voting systems currently used by countries and companies and suggests academic research. Additionally, this study analyzes the challenges faced by blockchain electronic voting systems and identifies areas for future research to improve the reliability of these systems.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Electronic Voting, Blockchain Technology, Rapid Vote Counting, Privacy Protection, Fraudulent Voting, Immutable Voting Process, Vote Manipulation, Legitimacy of Elections, Blockchain-based Electronic Voting Systems

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Identity verification plays a pivotal role in the contemporary digital landscape, especially within financial and online services. The adoption of Know Your Customer (KYC) processes has become imperative to ensure secure and reliable interactions. This survey paper explores the integration of Optical Character Recognition (OCR) techniques, with a specific focus on the Convolutional Text Proposal Network (CTPN), as a machine learning approach for enhancing KYC verification. Traditional KYC methods often suffer from inefficiencies in terms of speed, accuracy, and scalability. The manual verification processes inherent in these methods not only consume valuable time but are also susceptible to errors. The advent of OCR technology has revolutionized the KYC landscape by automating the extraction and interpretation of textual information from diverse documents such as passports and driver's licenses. The survey begins by highlighting the limitations of conventional KYC methods, underscoring the need for advanced automated solutions. It provides an extensive overview of OCR, elucidating its significance in extracting text from a variety of documents while addressing challenges related to document formats, languages, and image qualities. Machine learning emerges as a critical enabler for OCR, allowing for continuous improvement in accuracy and adaptability to evolving requirements. A substantial portion of the paper is dedicated to introducing and exploring the capabilities of the Convolutional Text Proposal Network (CTPN) as an innovative machine learning approach tailored for OCR-based KYC verification. CTPN's ability to accurately localize and recognize text within images positions it as a promising solution for improving the precision and efficiency of KYC processes. The survey concludes with an evaluation of the current state of OCR-based KYC verification, identifying areas of success and potential challenges. It serves as a roadmap for future research and development, emphasizing the importance of ongoing advancements in machine learning and OCR technologies to meet the evolving demands of identity verification in the digital age.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Identity Verification, KYC, OCR, CTPN, Machine Learning, Automated Solutions, Document Extraction, Traditional KYC Methods, Efficiency, Challenges

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As consumer consciousness soars and concerns about environmental degradation deepen, regenerative agriculture emerges as a beacon of hope. This study investigates the potential of this transformative approach in Dakshina Kannada District, India, focusing on consumer willingness to pay (WTP) and market impacts. We aimed to assess consumer interest in regenerative products, identify potential drivers of WTP beyond general environmental concerns, and evaluate the economic feasibility for farmers in the region. We employed a quantitative survey of 100 Dakshina Kannada District residents, encompassing questions on product preferences, WTP for regeneratively produced food, and underlying motivations. Statistical analysis, including regressions, explored the determinants of WTP and its variation across demographics and product categories. A remarkable 87% of respondents indicated WTP more for regeneratively grown products, particularly coffee, fruits, and vegetables. However, general environmental concerns lacked explanatory power in predicting WTP. Our analysis suggests alternative drivers, such as trust in producers, specific environmental benefits, and product certifications, warrant further investigation. Farmers face a promising market for regeneratively produced goods. Focusing on high-demand crops, highlighting specific environmental advantages, and building trust with consumers can unlock premium pricing and economic gains. Policymakers must tailor interventions and policies to address the unique motivations of Dakshina Kannada consumers, including supporting infrastructure development, raising awareness, and establishing robust certification standards.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Regenerative agriculture, Consumer willingness to pay, Environmental sustainability, Dakshina Kannada District

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The sustainable development and inclusive growth of any nation consists in its capacity to inclusively engage every cultural factor and aspect into its comprehensive wholeness. The nation-building process of Canada has been fraught with a series of hostilities in the form of climatic challenges racial dissentions and cultural diversities; but mostly by the fact that the indigenous People such as the First Nations, the Metis and the Inuits are outnumbered by the Euro--American settlers. Consequently the minor aboriginals culturally remained eclipsed and felt a strong sense of alienation from the nation's mainstream modernization. But recognizing the plurality of its cultural artefacts and encouraging a cosy ambience for even the native aboriginals, noticeably for the last few decades, the Canadian statehood has progressively revolutionized itself in strengthening its unified future or hood and solidifying its socio-political strong roots. The greatest testimony to this fact is the recent but rapid rise in the literary output by the native aboriginals who are putting firm feet and looking a lasting corner in the cultural dissemination by profusely writing about their own identity as indigenous.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

native, inclusive, plurality, aboriginals, identity

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The research paper explores India's relation between renewable energy and sustainable development. Despite energy challenges, renewable adoption can curb emissions, enhance security, and foster innovation. Hence, the present article made an attempt to understand the growth of electricity sector and potential of renewable energy sources for driving sustainable development in India through reducing carbon, boosting jobs, and equitable energy. This article deepens understanding of renewable energy's pivotal role in India's journey towards resilience, prosperity, and equity, amid rapid development, energy demand, and environmental concerns.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Renewable Energy, Sustainable Development, Wind, Bio and Solar Power.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The categorization system of r?gas known as S?uddha-Cha?yalaga-Sanki?rn?a gained prominence in the post-Nat?yas?a?stra era. Initially introduced in Auma?patam by Uma?pati, many subsequent treatise authors credited him for this classification system. While it laid the foundation for the modern Melakarta classification, scholars like Sambamurthy expanded its application to ra?gas such as Ma?nji, A?hiri, Dvija?vanti or Juja?vanti, etc., incorporating aesthetic elements from other ra?gas. This paper aims to illuminate the ra?ga Juja?vanti, believed to have been imported from Hindustani Music into Karnatak Music.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sanki?rn?a, Ra?ga, Dvija?vanti, Juja?vanti

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The oral route is considered to most natural, uncomplicated, convenient and safe due to its ease of administration, patient acceptance, and cost-effective production process. Many technological developments have resulted in the creation of controlled drug delivery systems, which have the potential to transform medication distribution and offer a multitude of therapeutic advantages. These systems address the shortcomings of conventional drug delivery methods. among the most popular methods for gastro-retentive drugs delivery. Several approaches are currently being used to prolong the GRT, including gastr-retentive drug delivery systems (GRDDS), also known as hydrodynamically balanced systems (HBS), swelling and expanding systems, high-density systems, and other delayed gastric emptying devices. One dosage form that is showing promise is floating dosage forms. By combining the right ingredients and a gas-generating agent, floating dosage forms can be made into tablets or capsules. This review on gastro-retentive drug delivery systems (GRDDS) was written with the intention of gathering the most recent research, paying particular attention to the main mechanism of floatation to accomplish gastric retention. The current study aims to improve bioavailability by extending the gastrointestinal residence duration by the creation of a gastro retentive floating bilayered tablet. A simple UV spectro photometric method has been employed for the estimation of API at 238 nm with a Beer's range of 0-10?g/ml. Fourier transform Infrared spectroscopy confirmed the absence of any drug/polymer's interactions.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

: Gastro-Retentive drug delivery, Floating drug delivery, Gastric Retention Time, etc.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the ever-evolving and competitive job market, presenting a compelling resume has become critical for job seekers to secure interviews and land their desired positions. However, manually reviewing and assessing a vast number of resumes can be a time-consuming and laborious task for re- cruiters, often leading to inefficiencies and potential biases in the hiring process. Automatic Resume Quality Assessment (ARQA) systems have emerged as promising solutions to address these challenges, leveraging the power of artificial intelligence (AI) and natural language processing (NLP) techniques to automate the resume evaluation process. This survey paper delves into the fascinating world of ARQA, providing a comprehensive overview of the existing approaches, techniques, challenges, and promising future directions

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Resume , Quality, CV Parser, Resume Parser,

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Illegal fishing is a pervasive and destructive global issue that poses a significant threat to maritime ecosystems and the resilience of fisheries. Illegal, unregulated, and unreported (IUU) fishing leads to extinction of fishing population. Also, fishing businesses facing a major financial problem throughout the globe due to IUU. The effective identification and monitoring of illegal fishing activities are crucial in order to protect maritime resources and the enforcement of international regulations. This review paper explores the use of geographical area modeling as a promising approach to combat illegal fishing in oceans. We discuss various techniques and technologies that have been employed to detect IUU fishing within specific geographical areas, providing insights into their strengths, weaknesses, and future prospects. We will develop machine learning algorithms to analyze the geospatial data and identify patterns associated with illegal fishing activities. The current study attempted to conduct a methodical and critical analysis of around Sixty (60) prior publications that were pertinent and published in academic journals throughout a twenty two-year period (2000 - 2022) in modelling of geographical areas to detect illegal fishing. Specifically :(i) Anomaly detection to identify irregular fishing behaviors, such as fishing in prohibited areas(ii) The application of machine learning techniques and how well they match this domain. (iii) the ideas and elements influencing modelling of geographical areas and the starting point of study, (iv) the pertinent mistake and accuracy metrics. Finally, we summarize the difficulties and prospects for more study in the identification of illicit

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

- Illegal fishing, unreported fishing, unregulated fishing, Geographical areas, Marine resources, Geographical Modelling

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ayurveda is the holistic science of treating physical and mental ailments and promote healthy living. Marma is a unique concept of Ayurveda and is been explained extensively by Acharya Sushruta and Acharya Vagbhatta in their respective classical text. Marma are said to be the sites where the Prana resides. Trauma to these vital points leads to instant death, rigorous pain or enduring disability. Shankha Marma is one of the Marma of Urdhvajatrugata region (head region) situated in between the ear and the forehead and just above termination of the superciliary arch/eyebrow. Shankha Marma is considered as Sadhyapranahara Marma. Injury to this area leads to sudden death. Acharya Sushruta described that it is situated between the Karna (ear pinna) and the Lalata (forehead) above the Bhru-Puchha (end portion of eye-brows). It corresponds to the temple area in skull. Pterion, a craniometric point, can also be associated with Shankha Marma. The point corresponding with the posterior end of the Spheno-parietal suture is named the Pterion. In this paper, we will discuss all the possible anatomical structures associated with Shankha Marma making it as one of the most important Marma of Uttamanga.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Shankha Marma, Pterion, Marma, Sadhyapranahara Marma

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Beti Bacho Beti Padhao (BBBP) scheme was launched to support this scheme as well as make it successful by meeting the essential expenses of the girl child such as health, higher education and marriage. This scheme is a good start for the girl child lives as it involves some effective efforts of the Government of India. It is a best scheme ever as it reduces the tension of parents as well as will save the lives of present and future born girls through this small investment on annual basis. This scheme has been planned and launched to reduce the level and effect of some dangerous social issues related to the girl child. The present paper based on secondary sources and focuses the challenges and benefits of the girl child.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Girl Child, Education, Health, Marriage

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Our Automatic Electric Vehicle Charging station is a autonomous power supply unit which works without the need for human attendants. The system is designed to facilitate the existing power grid infrastructure. The system employs the Raspberry Pi as our primary controller board and hosts the User Interface on the LCD Display mounted on the Charger Housing. The Pi Board interfaces with our custom Pilot PCB to communicate with the Electric Vehicle Battery Management Systems to negotiate the charging speed, capacity of the car battery and perform safety checks. The user can choose AC level 1,2 or DC level 3 charging. the system uses a 30A relay circuit to isolate the battery from the power supply until all the necessary checks and payment processes are completed. RazorPay is our real time Payment gateway for payment transactions. Once the user has completed the formalities the charging process will begin. we also have a charging monitoring system developed that will help users track the battery charge percentage and charging time remaining on the LCD display. The station has emergency Kill Switches and Emergency Stop buttons mounted on the housing to address safety concerns that arise on the advert of damaged high power output utilities, when engaged the entire system will kill all the power inputs from the grid so that any fault can be safely repaired without risk of electrocution.For our implementation and testing we have built a 18650 NMC chemistry 3S5P Battery pack with a 3S BMS. the unit utilizes level 3 AC charging SAE(Society of Automotive Engineering) standards to ensure the safety and quality of the service.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Electric Vehicle, Battery, Battery Charging, Alternating Current Charging, Direct Current Charging, Lithium Ion cells, Charging Station, J1772, Battery Management System, Battery Monitoring System,

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The introduction of technology in Jalgaon's education sector has brought many benefits but also brought along a variety of cyber threats. The objective of this abstract is to give an overview of the cybercrime and cyber security situation within educational institutions in Jalgaon. Significant challenges exist in cybercrime, including the occurrence of phishing and social engineering attacks, ransomware attacks, data breaches, compromised exam integrity, and intellectual property theft. Student records, sensitive research data, and institutional information are the targets of these threats, which could lead to identity theft, financial loss, and reputational damage. Institutions to combat these challenges have initiated various cyber security measures. These encompass heightened awareness campaigns, comprehensive staff and student training programs, implementation of robust security protocols including encryption and firewalls, incident response planning, and collaboration with cyber security experts to assess vulnerabilities and fortify defenses. The purpose of this abstract is to provide a primer for stakeholders in Jalgaon's education sector, highlighting the significance of being vigilant, taking proactive steps, and maintaining a consistent commitment to cyber security. The safety and integrity of educational systems and data must be ensured.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cybercrime, Cyber Threats, Prevention of Cyber-crime, Cyber security

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Blockchain technology has brought about a revolutionary change in modern society by offering transparency, decentralization, and security. Crowdfunding, can also be an online fundraising strategy that initially started as a way to contribute small amount of fund in the form of money or stock to finance project. In present using an intermediary, such as a broker-dealer in digital wallet people have the option to invest in entrepreneurial start-ups. However, current crowdfunding sites lack the Donor Guarantee Policy and control over donated funds, which is a significant issue. A comprehensive overview of the research and developments in the field of blockchain-based crowdfunding is objective of this survey paper. The existing literature is reviewed, key concepts and mechanisms are highlighted, benefits and challenges are discussed, and potential future directions for this exciting area of study are explored.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Crowdfunding, Blockchain, Campaign, Donor Guarantee, Digital Wallet.

  License

Creative Commons Attribution 4.0 and The Open Definition