Heritage Institute of Technology

About: Heritage Institute of Technology is a based out in . It is known for research contribution in the topics: Support vector machine & Transconductance. The organization has 581 authors who have published 1045 publications receiving 8345 citations.

Hybrid Correlation-Neural Network Synergy for Gait Signal Classification

Abstract: This chapter presents a thorough discussion on the development of a robust algorithm for pathological classification of human gait signals. The technique involves the extraction of time and frequency domain features of the correlograms obtained by cross-correlating the gait signals with a reference, and subsequently employing a pre-trained Elman’s recurrent neural network (ERNN) for automatic identification of healthy subjects and those with neurological disorder, and also the type of disorder. To assess the performance of the algorithm, stance, swing, and double support intervals (expressed as percentages of stride) of 63 subjects, either healthy, or suffering from Parkinson’s disease (PD), Huntington’s disease (HD), or Amyotrophic Lateral Sclerosis (ALS), have been processed by the proposed algorithm for a period of approximately 300 s. The performances of ERNNs are also compared with those already reported for back propagation neural network (BPNN), learning vector quantization (LVQ), and least-square support vector machine (LS-SVM) based classification algorithms. With time-domain features, the proposed modular ERNNs outshined the other classifiers by attaining 90.3–98.5 % classification accuracy for binary classification jobs, and an accuracy as high as 87.1 % for the four-class classification problem. With frequency-domain features, classification into healthy and pathological subjects has been studied, and in this case also, the best performance of 81.6 % mean accuracy was achieved employing ERNN.

Abrasive wear behavior of Al-TiB2 and Al-TiB2-nano-graphite metal matrix composites:

Abstract: This paper deals with abrasive wear behavior of two different composite materials namely Al-TiB2 and Al-TiB2-nano-graphite At the time of fabrication, ultrasonic vibration is used along with mecha

Synthesis and characterization of polyether urethane coatings for preventing implant infection

Abstract: The common complication associated with implants is microbial infection due to biofilm formation. Among bacterial infections Staphlyococcus aureus remains a major challenge. This threat posed by implant associated infection affects a large percentage of population. One of the strategies to combat this risk is to coat the implant surface with polymers loaded with antibiotics. The antibiotics release at implantation site will prevent microbial infection. We have synthesized polyether urethane membrane using biocompatible isocyanate. Synthesis of the polyether urethane membrane was confirmed through Fourier transform infrared spectroscopy analysis. The membranes were further characterized by X-ray diffraction, swelling study (in water, simulated body fluid, tetrahydrofuran), drug release study, and antibiotic assay. Information of swelling study is used for drug loading and explanation of drug release from the membranes. We have used antibiotics for drug release study as they find application to combat infec...

Cross-wavelet transform as a new prototype for classification of EEG signals

Abstract: The main objective of this paper is to develop a computerised method that could be used to classify electroencephalogram (EEG) signals automatically and potentially help doctors, researchers and ot...

Dynamical behaviour of age-selective harvesting of a prey-predator system

Abstract: In this article we have discussed the dynamical behaviour of a harvested prey-predator fish population with time delay in the prey harvesting term as well as in the predator harvesting term. Thus we are considering selective harvesting of both species. Biologically it implies that we are allowing both prey and predator populations to elapse some fixed time before they are harvested. In other words, we are restricting harvesting of species below some certain age so that they can grow up to some specific size or age and thus protecting juvenile fish. Age-selective harvesting, where the old individuals of a particular species are preferentially taken, is common in both ecosystem-based fisheries and forestry management. Depending upon the age selection strategy, system experiences stable coexistence to oscillatory mode and vice versa via Hopf-bifurcation. Our analysis supports that balance between harvesting delays and harvesting intensities should be maintained for better ecosystem management. All our important findings are numerically verified using MATLAB.