http://localhost:8080/xmlui/handle/123456789/7466 Thu, 30 Apr 2026 08:29:49 GMT 2026-04-30T08:29:49Z http://localhost:8080/xmlui/handle/123456789/8237 Novel Class Detection with Concept Drift in Data Stream - AhtNODE Gandhi, Jay; Gandhi, Vaibhav Data stream mining has become an interesting analysis topic and it is a growing interest in data discovery method. There are several applications supporting stream data processing like device network, electronic network, etc. Our approach AhtNODE (Adaptive Hoeffding Tree based NOvel class DEtection) detects novel class in the presence of concept drift in streaming data. It addresses there are three challenges of streaming data: infinite length, concept drift, and concept evolution. This approach automatically detects the novel class whenever it arrives in the data stream. It is a multi-class approach that distinguishes novel class from existing classes. The authors tend to apply the Adaptive Hoeffding Tree as a classification model that is also used to handle the concept drift situation. Previous approaches used the ensemble model to handle concept drift. In AHT, classification is done in the single pass. The experiment result proves the effectiveness of AhtNODE compared to existing ensemble classifier in terms of classification accuracy, speed and use of memory. Wed, 01 Jan 2020 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/8237 2020-01-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/8222 Machine learning based stochastic dynamic analysis of functionally graded shells Vaishali; Mukhopadhyay, T; Karsh, P. K.; Basu, B.; Dey, S This paper presents stochastic dynamic characterization of functionally graded shells based on an efficient Support Vector Machine assisted finite element (FE) approach. Different shell geometries such as cylindrical, spherical, elliptical paraboloid and hyperbolic paraboloid are investigated for the stochastic dynamic analysis. Monte Carlo Simulation is carried out in conjunction with the machine learning based FE computational framework for obtaining the complete probabilistic description of the natural frequencies. Here the coupled machine learning based FE model is found to reduce the computational time and cost significantly without compromising the accuracy of results. In the stochastic approach, both individual and compound effect of depth-wise source-uncertainty in material properties of FGM shells are considered taking into account the influences of different critical parameters such as the power-law exponent, temperature, thickness and variation of shell geometries. A moment-independent sensitivity analysis is carried out to enumerate the relative significance of different random input parameters considering depth-wise variation and collectively. The presented numerical results clearly indicate that it is imperative to take into account the relative stochastic deviations (including their probabilistic characterization) of the global dynamic characteristics for different shell geometries to ensure adequate safety and serviceability of the system while having an economical structural design. Wed, 01 Jan 2020 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/8222 2020-01-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/8219 Radial Basis Function-Based Stochastic Natural Frequencies Analysis of Functionally Graded Plates Karsh, P. K.; Kumar, R. R.; Dey, S. This paper deals with portraying the stochastic natural frequencies of cantilever plates made up of functionally graded materials (FGMs) by employing the radial basis function (RBF)-based finite element (FE) approach. The material modeling of FGM plates is carried out by employing three different distribution laws, namely power law, sigmoid law, and exponential law. A generalized algorithm is developed for uncertainty quantification of natural frequencies of the FGM structures due to stochastic variation in the material properties and temperature. The deterministic FE code is validated with the previous literature, whereas convergence study is carried out in between stochastic results obtained from full scale direct Monte Carlo Simulation (MCS) and MCS results obtained from RBF surrogate model of different sample sizes. The percentage of error present in the RBF model is also determined. The influence of crucial parameters such as distribution law, degree of stochasticity, power law index and temperature are determined for natural frequencies analysis of FGMs plates. The results illustrate the input parameters considered in the present study have significant effects on the first three stochastic natural frequencies of cantilever FGM plates. Wed, 01 Jan 2020 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/8219 2020-01-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/8218 ON-STREET PARKING PROBLEMS IN CBD AREA & REMEDIEL MEASURES-A CASE STUDY OF GODHRA CITY Gandhi, Naitik; Juremalani, Jayesh The unprecedented growth of vehicles has increased parking space demand into cities. It has a considerable effect on transportation development in the city. The availability of less space in urban areas has rising demand for parking space principally in central business district. Ill-effects of insufficient parking space in cities are many. Godhra is a well-known city of Panchmahal district in Gujarat which has a population of 1.62 lakh (2011). As the traffic on the existing road system in the Godhra city increases, congestion becomes serious problem. Thus, parking surveys have been carried out for collecting data about parking avaibility and requirement and its effect on present scenario. Fixed period sampling survey method is used for parking demand and Parking space inventory survey is carried out for parking supply at the study area. Analysis shows that peak demand and parking index are almost 1.5 times more of demand than supply and it is alarming stage for parking problem. Requirement of parking has been fulfilled by designing off-street parking facility for on street parking user so that they can park their vehicle safely and it is more helpful to transportation system by increasing utilization of carriage way width. Design of Multi level parking space has been done according to demand and supply available by using ParkCAD(5.0) and as per the SP-12(2015)Guidelines for parking facilities in urban area. Results help in reducing the congestion of on-street parking and diverge the demand to off-street parking. Fri, 01 Mar 2019 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/8218 2019-03-01T00:00:00Z