iosr-JEEE   Volume-14 ~ Issue-3 ~ May-June 2019

Abstract: Induction motors are widely used in industrial applications hence its speed control has been an eminent area of research.The squirrel cage induction motors are cheap, simple and robust in construction, and requires less maintenance. Due to these advantages it has been widely used for fixed speed application in industries. The main purpose is to replace the DC motor by an induction motor and merge the advantages of both the motors together into variable speed brushless motor drive and eliminate the associated problems. Howeverindustrial applications require efficient control of IM drives. Control of Induction Motor (IM) is known to be difficult owing to the fact that themathematical models of IM are highly nonlinear and time variant. The innovation of vector control techniqueshas solved the problems of controlling the induction motor for precise applications..........

Keywords: Induction motor, indirect field oriented control, vector control, space vector pulse width modulation (SVPWM).

[1]. VenuGopal B T "Comparison Between Direct and Indirect Field Oriented Control of Induction Motor ", International Journal of Engineering Trends and Technology (IJETT), Vol.-43, No.-6, January 2017
[2]. M.R.BaqheethaFathima, P.Magdelin Jennifer Princy, S. RamPrasath, "Mathematical Modeling of SVPWM inverter fed 3 phase Induction Motor Vector control in MATLAB/Simulink Environment", International Conference on circuits Power and Computing Technologies [ICCPCT] 2017
[3]. SajiChacko, Dr. ChandrashekharN.Bhende, Dr. Shailendra Jain and Dr. R.K. Nema, "Modeling And Simulation of Field Oriented Control Induction Motor Drive And Influence of Rotor Resistance Variations on Its Performance" An International Journal (ELELIJ), Vol. 5, No. 1, February 2016
[4]. Vipul G. Pagrut, Ragini V. Meshram, Bharat N. Gupta, Pranao Walekar, "Internal Model Control Approach To PI Tunning In Vector Control Of Induction Motor", International Journal Of EngineeringResearchand Technology (IJERT), Vol. 4 Issue 06, June-2015.
[5]. Nithin S. Nair, Anoop.V.B., Arun V.A., JishnuChandran, SarathMenon C.S., "Simulation of Indirect FOC Based 3-PhaseInduction Motor Drive" International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering Vol. 4, special issue-1, March 2015

Abstract: DPVs have recreational, scientific and military applications. A diver propulsion vehicle (DPV), also known as an underwater propulsion vehicle or underwater scooter is an item of equipment used by scuba divers and rebreather divers underwater to increase the range. Range is restricted by the amount of breathing gas that can be carried, the rate at which that breathing gas is consumed, and the battery power of the DPV. Though this has been the common methodology for many years, there is an emerging technique that involves developing algorithms with graphical tools. This improves development time, decreases programming complexity, and facilitates sharing of the design..........

Keywords: DPV, MATLAB, DSP, GUIDE.

[1]. Development of a motor speed control system using MATLAB and Simulink, implemented with a digital signal processor.Andrew Klee, B.S. University of central florida,, 2003.
[2]. www.padi.com
[3]. A practical BLDC motor design procedure diver propulsion vechicle applications.Yannis L Karnavas member IEEE, Ioannis D. Chasiotis , Student member IEEE and D.N Stavoulellis.
[4]. Systematic modelling and model based simulation of a remotely operated vehicle using MATLAB and Simulink.C.S Chin – School of Marine and Technology, jan 2012

[5]. Frederic, P. et al. (2010). Diver Propulsion Vehicle book, by VDM Publishing, ISBN 6130783159, 9786130783150

Abstract: An image processing is an interesting topic to distinguish the human actions for overall life presentations. For instance, detecting the gesticulation of an individual when he or she is driving and warning him/her when he/she is in sleepy attitude will be fairly beneficial. Human motions can be recognized by detecting the dissimilar movements of iris, nose, mouth localization and pointers. In this research we are concentrating on the humanoid face for identifying appearance. Many practices are obtainable to distinguish face. In this paper, the main focus is given in the feature extraction approach and also the classification approach. The feature extraction is done by using principal component analysis and the classification is done by using Adaptive Neuro Fuzzy Inference System

Keywords: Recognitions, Automatic Classifications, Characteristic Extractions, Neuro Fuzzy Systems, Feature extractions.

[1]. Q. Wu, Z. Wang, F. Deng, Z. Chi, D. D. Feng, "Realistic human action recognition with multimodal feature selection and fusion",
IEEE Transactions on Systems, Man, and Cybernetics: Systems 43, no. 4 (2013): 875-885.
[2]. Cohen, N. Sebe, L. Chen, A. Garg, and T. S. Huang. Facial expression recognition from video sequences: Temporal and static
modelling. In Computer Vision and Image Understanding, pages 160– 187, 2003.
[3]. C. P. de Campos, Z. Zeng, and Q. Ji. Structure learning of Bayesian networks using constraints. In ICML, 2009.
[4]. S. Jain, C. Hu, and J. K. Aggarwal. Facial expression recognition with temporal modeling of shapes. In ICCV Workshops, pages
1642– 1649.IEEE, 2011.
[5]. R. E. Kaliouby and P. Robinson. Real-time inference of complex mental states from facial expressions and head gestures. In CVPR
Workshop, 2004.