An Innovation development of deep-sea bacterial monitoring and classification based on artificial intelligence microbiological model
M. Vidhyalakshmi,
V. Manjula,
H. Mickle Aancy,
M. Beulah Viji Christiana,
M. Jogendra Kumar,
P. Nirmala,
Hesham S. Almoallim,
Sulaiman Ali Alharbi,
S.S. Raghavan
Affiliations
M. Vidhyalakshmi
Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai, India
V. Manjula
School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India
H. Mickle Aancy
Department of Management Studies, Panimalar Engineering College, Chennai, India
M. Beulah Viji Christiana
Department of Management Studies, Panimalar Engineering College, Chennai, India
M. Jogendra Kumar
Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India
P. Nirmala
Department of Electronics and Communication, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India
Hesham S. Almoallim
Department of Oral and Maxillofacial Surgery, College of Dentistry, King Saud University, Riyadh, Saudi Arabia
Sulaiman Ali Alharbi
Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia
S.S. Raghavan
Department of Health Sciences, University of Texas Health Science Center, Tyler, TX, USA
The current sea monitoring equipments are being used for a variety of purposes around the world. Currently used vehicles have some drawbacks. The first is the high fuel cost. The Vehicle engines cost more fuel as they have to release more power and environment and pollution. As well as not being able to stay under the sea for long days, there will often be a need for vehicles to come to the surface to refuel. The second is the vibrations and noise of these vehicles. The vibrations caused by these can be detrimental to the biodiversity of the ocean. Also, the noise makes it easier for enemies to identify our vehicles. Similarly when these vehicles go under water, water waves form on the surface. With this in mind, radar can detect what a vehicle under the sea looks like. In this paper, an artificial intelligence based microbiological model was proposed to monitor the sea level. With this biological model can greatly reduce fuels. It can get more capacity than normal vehicles. As fuel consumption decreases, so it does environmental pollution and since it operates quietly and without high vibrations, there is no threat to the biodiversity of the ocean.
