NDLI: Position control of head and neck swellings resection operation using Artificial Neural Networks

Content Provider	IEEE Xplore Digital Library
Author	Gouid, G.G.N. Nasser, A.A.A. Mostafa, M.Z. El-Hennawi, D.M.
Copyright Year	2014
Description	Author affiliation: Electr. Eng. Dept., Alexandria Univ., Alexandria, Egypt (Gouid, G.G.N.; Mostafa, M.Z.) \|\| Arab Acad. for Sci. & Technol. & Maritime Transp., Alexandria, Egypt (Nasser, A.A.A.) \|\| Fac. of Med., Suez Canal Univ., Suez, Egypt (El-Hennawi, D.M.)
Abstract	This work demonstrates the technique of micro stepping control in removal of head and neck exophytic lesion. It also helps to detect tumor position accurately by using Permanent Magnet stepper Motors (PMSM) using artificial neural network methods without injury to the adjacent structures. Estimation of dynamic load parameters i.e. moment of inertia and friction coefficient is necessary for accurate position control. The Artificial Neural Networks (ANN) used as a position controller seems to be promising solutions to achieve the required performance. In this study, the use of back propagation of neural network is proposed. The obtained simulation results confirm the efficiency of the proposed controller to ensure the required performance to the desired position. Objective of this work is to introduce a new concept in removal of head and neck lesions safely and accurately. Our target organs are nose, Para nasal sinuses, nasopharynx, and larynx. Intracranial lesions need more research to be included in the future research.
Starting Page	1
Ending Page	6
File Size	1806785
Page Count	6
File Format	PDF
ISBN	9781479945368
DOI	10.1109/CIBCB.2014.6845510
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-21
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Robustness Stator windings Torque Windings pathway head and neck tumors PM stepper motor Artificial Neural Network
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Position control of a PM stepper motor using neural networks

Neural network control schemes for PM spherical stepper motor drive

Position control of a pm stepper motor using neural networks.

Position control of dc motor based on recurrent high order neural networks

New Positioning Control of Stepper Motor using BP Neural Networks

Sensorless position estimation for variable-reluctance machines using artificial neural networks

Dynamic analysis of permanent magnet stepper motor with asymetric stator

Intelligent control for permanent magnet spherical stepper motor

ANN-based system for inter-turn stator winding fault tolerant DTC for induction motor drives

Position control of head and neck swellings resection operation using Artificial Neural Networks

Similar Documents

Position control of a PM stepper motor using neural networks

Neural network control schemes for PM spherical stepper motor drive

Position control of a pm stepper motor using neural networks.

Position control of dc motor based on recurrent high order neural networks

New Positioning Control of Stepper Motor using BP Neural Networks

Sensorless position estimation for variable-reluctance machines using artificial neural networks

Dynamic analysis of permanent magnet stepper motor with asymetric stator

Intelligent control for permanent magnet spherical stepper motor

ANN-based system for inter-turn stator winding fault tolerant DTC for induction motor drives

Position control of head and neck swellings resection operation using Artificial Neural Networks