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Kanade, Prakash
- Computer Networking and Technology Improvement in the Age of COVID-19
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Authors
Affiliations
1 Hobby Researcher in Robotics, Artificial Intelligence, IOT, US
2 Cambridge Institute of Technology, Bangalore, IN
3 Facilitator, LeenaBOT Robotics, NG
1 Hobby Researcher in Robotics, Artificial Intelligence, IOT, US
2 Cambridge Institute of Technology, Bangalore, IN
3 Facilitator, LeenaBOT Robotics, NG
Source
International Journal of Advanced Networking and Applications, Vol 12, No 3 (2020), Pagination: 4592-4595Abstract
Corona virus has plagued the world and has brought the life around the world to a standstill. The virus is highly transmissible, and with no vaccine or cure, the solution to it would be to follow strict quarantine. Governments from around the world have focused on the containment of the virus with varying degrees of success. Certain countries maintaining a low mortality rate are worth praise, and a detailed study of these efforts would benefit other countries to fight the virus. The use of technology and its integration into crucial strategies in fighting the deadly disease have proven beneficial on many fronts. Technology is being used to tackle unavoidable circumstances that may have arisen but put people at risk. Technologies that minimize human contact and can be remotely controlled reduce the risk of virus transmission from one another. The study aims to identify some remote technologies that have proved beneficial in the fight against the deadly Corona virus.Keywords
COVID-19, Robotics, Remote Access, Automation.References
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- Agricultural Mobile Robots in Weed Management and Control
Abstract Views :109 |
PDF Views:0
Authors
Affiliations
1 Hobby Researcher in Robotics, Artificial Intelligence, IoT, US
2 Cambridge Institute of Technology, Bangalore, IN
3 Faculty, Facilitator, LeenaBOT Robotics, NG
4 Student, LeenaBOT Robotics, Bangalore, IN
1 Hobby Researcher in Robotics, Artificial Intelligence, IoT, US
2 Cambridge Institute of Technology, Bangalore, IN
3 Faculty, Facilitator, LeenaBOT Robotics, NG
4 Student, LeenaBOT Robotics, Bangalore, IN
Source
International Journal of Advanced Networking and Applications, Vol 13, No 3 (2021), Pagination: 5001-5006Abstract
The introduction of various robotics technology has made it easier to apply these approaches to agricultural procedures. However, due to the enormous differences in shape, size, rate and type of growth, kind of yield, and environmental needs for different types of crops, implementing this technology on farms has proven difficult. Agricultural processes are a series of time-dependent, methodical, repeated actions. Tilling, soil analysis, seeding, transplanting, crop scouting, insect management, weed removal, and harvesting are all major processes in open arable farming, and robots can help with all of them. By shrinking the range of the search grayscale range, the new method efficiently shortens the algorithm's search speed and reduces computation processing time. The edge contour picture of the corn and weed targets is used as the study object, and we built an algorithm to achieve an accurate selection of the 2D coordinate points of the corn and weed targets in the field crop image. A quadratic traversal algorithm is proposed in this paper for selecting target 2D coordinate points in the pixel coordinate system, as well as the related traversal search box. To achieve real-time target recognition and complete automatic cut classification of targets, the Faster R-CNN deep network model based on the VGG-16 feature extraction network is deployed. The use and implementation of our ideas in this study can help intelligent weeding robots perform more precise weeding operations and increase their efficiency.Keywords
Agricultural Robotics, Deep Learning, LeenaBOT, Weeding Robot.References
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- Block Chain Application in Healthcare Data Management
Abstract Views :68 |
PDF Views:1
Authors
Affiliations
1 Researcher in Robotics, Artificial Intelligence, IoT, US
2 Teaching Asst. LeenaBOT Robotics, Bangalore, IN
3 Teaching Asst, LeenaBOT Robotics, Bangalore, IN
4 Student, LeenaBOT Robotics, US
1 Researcher in Robotics, Artificial Intelligence, IoT, US
2 Teaching Asst. LeenaBOT Robotics, Bangalore, IN
3 Teaching Asst, LeenaBOT Robotics, Bangalore, IN
4 Student, LeenaBOT Robotics, US
Source
International Journal of Advanced Networking and Applications, Vol 15, No 3 (2023), Pagination: 5952 - 5958Abstract
By providing safe and decentralized ways to store, access, and share data, blockchain technology has emerged as a promising alternative for the management of healthcare data. The various uses of blockchain technology in healthcare data management are examined in this review of the literature. The promise of blockchain to improve data security, privacy, interoperability, and trust in healthcare systems has attracted a lot of attention. The work seeks to give a summary of the available research, highlight important obstacles, and identify emerging prospects in utilizing blockchain for healthcare data management. This study examines the administration of patient records, data interoperability, clinical trials, supply chain management, data privacy, and security through a thorough examination of pertinent literature. The work show how blockchain technology has the potential to revolutionize healthcare data management while also exposing areas that need more research. The applications of blockchain in healthcare data management are also covered, including the management of patient information, interoperability, clinical trials, supply chain management, and data privacy. By improving security, privacy, interoperability, and stakeholder confidence, the results imply that blockchain has the potential to revolutionize healthcare data management. However, in order for widespread acceptance to occur, issues including scalability, legal compliance, and system integration must be resolved.Keywords
blockchain, healthcare, data management, patient records, LeenaBOT, clinical trials, supply chain, data privacy, security.References
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- Prakash Kanade, Monis Akhtar, Fortune David, "Computer Networking and Technology Improvement in the Age of COVID-19" International Journal of Advanced Networking and Applications (IJANA), vol. 12, no. 03, Pages. 4592-4595, 2020.