Industrial Instrumentation and Control (IIC): Recent submissions

Now showing items 21-28 of 28

STEERING CONTROL ASSISTANCE FOR A POWERED WHEELCHAIR USING DEEP NEURAL FRAMEWORKS

Bijeesh, B; Sumayya, Jaleel (2022-07-01)

People with intellectual, motor, sensory damage always faces difficulty in their safe mobility. Thus, for their safe and secure navigation caregivers are needed always. To help these disabled persons for an independent ...
SPEED CONTROL OF LEFT VENTRICULAR ASSIST DEVICE USING PID CONTROLLER WITH PARAMETER OPTIMIZATION BASED ON PSO

Benzy J R, Hyde; Fathima M, Kasim (2022-07-01)

Our body’s most vital organ, the heart, keeps us alive by distributing blood enriched with oxy gen and nutrients throughout the body. Heart Failure, on the other hand, is the medical term used when the heart cannot keep ...
HAND GESTURE RECOGNITION USING DEEP LEARNING TECHNIQUES

Baby, Rukhiya; Sumayya, Jaleel (2022-07-01)

Deep learning algorithms have attracted more attention recently as a result of their unrivalled ability to automatically learn distinguishing features from enormous amounts of data. Surface Electromyography(sEMG) signals ...
FAULT DIAGNOSIS OF A LAUNCH VEHICLE ACTUATION SYSTEM USING WAVELET NEURAL

Anjana, Vijayan; Asha, Ravindranath (2022-07-01)

Small Satellite Launch Vehicle (SSLV) is a four-stage launcher that is being developed by the Indian Space Research Organization (ISRO) for launching small satellites and has the potential to enable multiple orbital ...
SEIZURE PREDICTION BASED ON MORPHOLOGICAL FEATURES USING ONE-DIMENSIONAL LOCAL BINARY PATTERN ON LONG-TERM EEG SIGNALS

Alandutt, V R; Muhammed Shanir, P P (2022-09)

After stroke, epilepsy has become the most prevalent disease in the world. Recurrent seizures are the hallmark of epilepsy, which is an aberrant neural activity of a brains. This illness causes abnormal, uncontrollable ...
EMOTION RECOGNITION FROM EEG SIGNALS USING MACHINE LEARNING MODELS

Akshay, K R; Muhammed Shanir, P P (2022-07-01)

The objective of this work is to identify emotion from EEG signals, that represent the brain ac tivity of individuals. With the rapid advancement of machine learning algorithms and numerous real-world applications of ...
SPEED CONTROL AND COMPENSATION OF TORQUE RIPPLE IN BLDC MOTOR USING SPIDER BASED SLIDING MODE CONTROLLER

Akhil, Alex; Sumayya, Jaleel (2022-07-01)

Brushless DC (BLDC) motors are used in a wide variety of industrial & domestic applications like CNC machines, industrial robots, and so forth. Since there are no brushes in BLDC motor, the commutation is carried out ...
SPEED CONTROL OF VARIABLE SPEED WIND TURBINE USING FOPID CONTROLLER

Ahna, Noushad; Salil, N (2022-07-01)

Wind power generation systems, which can be run at constant speed or variable speed, are gaining a lot of attention as clean and secure renewable energy sources. Due to an increase in the production of wind energy, ...

Now showing items 21-28 of 28

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