Autism Spectrum Disorder Identification Using Polynomial Distribution based Convolutional Neural Network

One main psychiatric disorder found in humans is ASD (Autistic Spectrum Disorder). The disease manifests in a mental disorder that restricts humans from communications, language, speech in terms of their individual abilities. Even though its cure is complex and literally impossible, its early detection is required for mitigating its intensity. ASD does not have a pre-defined age for affecting humans. A system for effectively predicting ASD based on MLTs (Machine Learning Techniques) is proposed in this work. Hybrid APMs (Autism Prediction Models) combining multiple techniques like RF (Random Forest), CART (Classification and Regression Trees), RF-ID3 (RF-Iterative Dichotomiser 3) perform well, but face issues in memory usage, execution times and inadequate feature selections. Taking these issues into account, this work overcomes these hurdles in this proposed work with a hybrid technique that combines MCSO (Modified Chicken Swarm Optimization) and PDCNN (Polynomial Distribution based Convolution Neural Network) algorithms for its objective. The proposed scheme’s experimental results prove its higher levels of accuracy, precision, sensitivity, specificity, FPRs (False Positive Rates) and lowered time complexity when compared to other methods.

An improved methodology for evaluating availability of multistate series–parallel systems using the polynomial distribution function

PurposeThis paper employs new methods to evaluate the availability of multistate series–parallel systems, in which a number of similar components are available in each subsystem.Design/methodology/approachIn this paper, polynomial distribution function (PDF) is combined with universal generating function (UGF) and recursive algorithm (RA) methods to evaluate the availability of multistate series–parallel systems. To achieve this goal, the PDF is initially used to determine the performance rates and the probabilities corresponding to the performance states of the similar components in a subsystem. The obtained results are used to evaluate the system availability via the UGF and RA methods.FindingsIt is shown that the combined UGF and PDF (UGF-PDF) and also the combined RA and PDF (RA-PDF) methods require less computational time than did the UGF and RA methods, respectively.Originality/valueIn the UGF and RA methods, there is no difference in system availability evaluation time when considering similar or different components in each subsystem. But the proposed methods in this article do not have this restrictions; therefore, these methods can be used to evaluate system availability in optimal redundancy allocation problems. As a result, using these methods reduces the optimization time of those problems.

Empirical Modelling and Investigation of Solar Panel Tilt Angle Analysis

This paper presents the empirical modelling and investigation of solar panel tilt angle analysis. The aim is to determine the best suitable tilt angle for harvesting the optimal voltage from the solar panel system. Mono-crystalline solar panel with 220W was used to determine the output voltage from the solar panel, along with range of angles measured in degree (from 180 to 90) with responding time in hours (from 11:00 a.m. to 5:00 p.m.) towards the East and West hemispherical directions at Ekpoma. The experiment was carried out for duration of one year at Ambrose Alli University, Ekpoma (latitude 6.750N and longitude 6.070E).The highest output voltage from solar panel was obtained at 1.00 p.m. for the study location while the total output voltage (2745.32V) obtained from west hemisphere direction was higher than the voltage (2709.06V) obtained from the East hemispherical direction. The best tilt angle suitable for optimal voltage harvest is 10degree. Based on the empirical model deduced, it was observed that the output daily voltage at constant angle exhibits a polynomial distribution pattern with the least error value of 0.269.

An analysis of physical vulnerability to flash floods in the small mountainous watershed of Aceh Besar Regency, Aceh province, Indonesia

Vulnerability is a loss rate perceived from elements at risk owing to the impact of hazards on determined magnitude and frequency. Vulnerability assessment of elements at risk is a critical component in the risk assessment framework. Considerable studies regarding flash floods have been conducted, but the depth of information on vulnerability is still limited. This study presents a model of the physical vulnerability of buildings caused by the incidence of flash floods, which is strengthened through intensity of the impact process and loss. This model used a non-linear regression approach using behavioural data in the form of the propagation height of the flood. The order-2 polynomial distribution can represent the relationship between the magnitudes of the best process and loss rate. The results are the risk assessments of an exposed area in mitigation strategies.

Magnetoelastic Field of a Multilayered and Functionally Graded Cylinder With a Dynamic Polynomial Eigenstrain

In this paper, an analytical solution is obtained for the magnetoelastic response of a multilayered and functionally graded cylinder with an embedded dynamic polynomial eigenstrain. The internal core of the cylinder endures a harmonic eigenstrain of cubic polynomial distribution along the radial direction. Both plane strain and plane stress conditions are assumed for the axisymmetric cylinder. The composite cylinder is placed in a constant magnetic field parallel to its axis. The magnetoelastic governing equations are solved exactly and the displacement and stress components are obtained in terms of Bessel, Struve, and Lommel functions. Using the analytical solution for the multilayered, composite cylinder, the magnetoelastic response of a functionally graded cylinder with exponential and power law distribution of material properties is investigated. Finally, the numerical results reveal the effects of external magnetic field, eigenstrain, and nonhomogeneity indices on the magnetoelastic response of the heterogeneous cylinders.