Video Mining using LIM Based Clustering and Self Organizing Maps

AbstractVideo mining has grown as an energetic research area and given incremental concentration in recent years due to impressive and rapid raise in the volume of digital video databases. The aim of this research work is to find out new objects in videos. This work proposes a novel approach for video mining using LIM based clustering technique and self organizing maps to recognize novelty in the frames of video sequence. The proposed work is designed and implemented on MATLAB. It is tested with the sample videos and provides promising results. And it is suitable for day to day video mining applications and object detection systems including remote video surveillance in defense for national and international border tracking

Students’ Perception towards Online Learning across Multiple Disciplinary Courses in India—A Qualitative Analysis

Online learning has become essential to the teaching and learning approach during the pandemic. Due to its enormous benefits, online or e-learning can be sustained. The acceptability of online or e-learning depends on the student’s perception and the availability of infrastructure. Data from various streams and age groups has been collected from students in different institutions. After collecting the data, this research incorporates descriptive statistics for a thorough analysis and utilizes the Chi-square test to provide scientific evidence. This study finds that the majority of final-year undergraduate and postgraduate students support online education. The student’s economic status affects their preference for online or e-learning. Having a smart device and internet access also influence the decision to pursue online or e-learning. Gender is positively associated with access to Internet facilities and has a cascading effect on preferences for online or e-learning. Female students prefer online classes but require additional internet resources. Higher education institutions could enhance their online course offerings by targeting specific groups, such as female students for postgraduate programs, if they could better understand their preferences. Even though some existing studies in the literature have examined the Indian scenario to understand the factors influencing the adoption of online education, none of these studies have considered the fundamental need for online or e-learning. Moreover, the preferences were not studied based on different demographics. This research work has collected and utilized data from various educational disciplines across multiple institutes, marking the first endeavor of its kind in the literature

In silico analysis of cubebinol for evaluating its efficiency against menacing respiratory ailments

448-460Over the recent decade a survey states that the advent of respiratory diseases had took a rapid transmittance and transformation rate. The mortality and the morbidity rates were also exorbitant. Piper cubeba is one of the traditional plant species belongs to Piperacea family, which possess good antibacterial activity. The plant comprise of several phytocomponent one among which is cubebinol, whose specific activities have not been much explored. Hence it is subjected in this research and its antibacterial efficiency is investigated through virtual screening technique. Techniques like Auto dock, Discovery studio, Pymol are evolved in the investigation to know the unknown nature of the phytocomponent by analyzing its binding affinity along with the major respiratory disease causing organism’s macromolecules. Thus it manifests the efficiency and the potency of the plant phytocomponent, which is found to be better than that of the readily available and commercially consumed drug molecules. By both the pharmacokinetic test as well as the docking validation we found that the docked ligand compound cubebinol is a potent drug against several fatal bacterial respiratory diseases