Volume 12 | Issue 5 |

 Abstract

Kabaddi, a traditional Indian sport, has roots that trace back to the prehistoric times of the Indian subcontinent. This research paper delves into the ancient pedagogical methods employed in teaching and transmitting the skills and knowledge of Kabaddi. It examines the historical context, teaching methodologies, societal roles, and the evolution of these practices into the modern era. The study aims to provide insights into the educational aspects of traditional sports in ancient Indian culture and how these have influenced contemporary coaching techniques in Kabaddi.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

kabaddi, traditional, subcontinent, teaching, ancient, culture, contemporary

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

To enhance storage efficiency in cloud environments, the AES encryption scheme has been introduced, leveraging a key derived from the message itself for encryption purposes. This approach ensures that identical plaintexts result in identical ciphertexts. The AES scheme is further refined to include simultaneous encryption and provides comprehensive security definitions. Additionally, the MD5 algorithm, a cryptographic hashing method, is employed for digital signatures, content verification, and message integrity assurance. This hash-based method ensures that both sender and receiver obtain an identical file during transmission. Cloud computing facilitates the sharing of vast data volumes across networks. Numerous techniques exist to secure data in the cloud, yet recent methods show improved performance in handling encrypted content. Consequently, we propose a system for collecting, sharing, and securely distributing data with multi-owner privacy preservation in cloud settings. In this system, data owners can securely transmit private information to a selected group of users via the cloud

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

MD-5 (Message-Digest Algorithm), AES Algorithm.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The human toll collection technique has resulted in a significant increase in traffic on the roads in major countries. thus this highlights the necessity of creating an effective automated toll system for applications that require real-time processing. This study will properly investigate the toll area found within a bridge. The registration details of the car and the driver will normally be recorded within the data table included Within the suggested prototype. The first toll payment can be collected using The suggested system for digital toll collection , which also offers an accommodating framework for the system for managing tolls. The study-based undertaking makes use of a confirmation of accuracy that is roughly 95.4%. The outcome of this strategy Within the Bridge will assist authority in correctly collecting toll revenue from each mode of transportation.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

RFID, reader, IoT, ARDUINO, time utilization, and automatic toll collecting.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Advent of Internet of Things (IoT) technology has rised in various sectors, including agriculture, by introducing automated systems for efficient resource management. This case study presents an IoT-based automated irrigation system designed to optimize water usage in agriculture, ensuring both efficiency and sustainability. By integrating sensors to detect soil moisture levels, weather conditions, and plant requirements, the system intelligently controls irrigation processes. Real-time data analysis enables precise watering schedules tailored to the specific needs of crops, reducing water wastage and enhancing crop yield. Moreover, remote accessibility through mobile applications empowers farmers to detect and control irrigation activities from anywhere, fostering convenience and flexibility. This innovative approach not only conserves water resources but also promotes sustainable farming practices, contributing to environmental preservation and long-term agricultural viability.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IoT, automated irrigation, efficiency, sustainability, smart agriculture

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Smart Farming Using Technology Agriculture is recognized as an important field with significant economic impacts in some countries. Due to large population growth, meeting people's nutritional needs has become an important issue. To achieve these food security goals, the transition to smart agriculture has become inevitable. Smart farming is a new approach to agriculture that uses the power of machine learning and technology to increase productivity, sustainability, and operational efficiency. This article explores the use of machine learning in smart farming to improve many aspects of agriculture. We discussed how machine learning algorithms can be used for crop monitoring, yield prediction, disease diagnosis, and resource management. Integration of data from sensors, drones, satellites, and other sources allows farmers to make instant data-driven decisions. These concepts also highlight the benefits of smart agriculture, such as increased yields, reduced resource waste and increased sustainability. Additionally, we discuss the challenges and limitations of machine learning in agriculture and provide insight into the future of smart agriculture, which promises to transform the way we produce food and manage agriculture.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

MERN stack, Machine Learning, Database, Deep Learning

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper introduces the development and implementation of Vote Chain, an advanced block chain-based voting system aimed at transforming the electoral landscape. By harnessing block chain technology, including the integration of smart contracts, this project presents a secure and transparent platform tailored to the diverse needs of voters, administrators, and electoral officials. Through the decentralized Vote Chain network, voters are empowered to securely cast their ballots, ensuring the integrity and immutability of voting records. The innovative block chain protocols employed mitigate the risk of tampering or fraud, instilling trust in the electoral process. Administrators benefit from a comprehensive dashboard offering real-time insights into voter participation and election outcomes. This paper explores the intricate implementation of block chain technology within the Vote Chain system, emphasizing its potential to enhance electoral accessibility, transparency, and integrity.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Block chain, Smart Contracts, Vote Chain, Meta Mask, Ganache, Online Voting.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

An algorithm for blockchain technology is described in this article to validate digital certificates. Graduation certificates must be easily validated because the number of students and graduates from universities and other higher education institutions is increasing annualy[1]. In this research, we propose two financial models where employers and graduates are the primary service players and the price of services is balanced. Employers want quick and dependable verification of their employees' degrees, and students want inexpensive, easily verifiable certificates. False credentials are a serious problem. It's not hard to obtain a phony education certificate in India. Employers who take on thousands of first- year students pay a large sum of money to have the qualifications and academic records of candidates verified.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Blockchain, Document Verification, Digital Certificate, distributed, Pre-processing

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The increasing number of cars in urban areas has led to a pressing issue: ineffective management of parking spaces. This not only worsens traffic congestion but also frustrates car owners struggling to find parking spots. aim is to address these challenges with a comprehensive vehicle parking management program. program caters to both car owners and parking lot managers, offering a solution that optimizes traffic flow and parking procedures. Through a user-friendly interface, individuals can reserve or pre-book parking spaces after registering for the app. They'll have access to a variety of parking options tailored to their specific needs, reducing time spent searching for parking and allowing for better trip planning. Users can also personalize the app by selecting parking spots based on their vehicle type and any additional requirements they may have, such as access to electric vehicle charging stations. The application accommodates a wide range of customer preferences, whether they drive a compact car, a larger vehicle, or need specific amenities.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Vehicle parking, parking management, parking management, Parking reservation system, Application on vehicle parking.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Breast cancer represents a significant global health issue, with timely detection being paramount for treatment success. Over recent times, the fields of machine learning and deep learning have risen as crucial instruments, showcasing remarkable effectiveness in improving the accuracy and efficacy of breast cancer identification. This manuscript thoroughly investigates prior literature pertaining to the application of algorithms from machine learning (ML) and deep learning (DL) in the context of breast cancer detection. The examination encompasses diverse algorithms and measures of performance employed in these investigations. Furthermore, significant obstacles and prospective avenues for research advancement in this domain are deliberated upon.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine Learning, Deep Learning, Detection, Diagnosis.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The e-commerce sector has experienced tremendous growth recently, particularly in terms of the number of people making online purchases. Many studies have been carried out to ascertain the buying habits of users and, more crucially, the variables that influence the users' decision to buy the product. In order to target a user with a customized advertisement or offer, we will look into whether it is feasible to recognize and anticipate a user's intention to buy a product. In addition, our goal is to develop software that will help companies find prospective buyers of their goods by quantifying their intent to buy based on the users' Twitter profiles and tweets. After applying different text analytical models to tweet data, we have found that it is possible to predict whether or not a user has expressed a desire to purchase a product. Furthermore, the bulk of users who had initially indicated that they would like to buy the product have done so, according to our analysis.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Natural Language Processing, Product, Purchase Intention, Tweets, Twitter

  License

Creative Commons Attribution 4.0 and The Open Definition