VECTORS: Video communication through opportunistic relays and scalable video coding

Crowd-sourced video distribution is frequently of interest in the local vicinity. In this paper, we propose a novel design to transfer such content over opportunistic networks with adaptive quality encoding to achieve reasonable delay bounds. The video segments are transmitted between source and destination in a delay tolerant manner using the Nearby Connections Android library. This implementation can be applied to multiple domains, including farm monitoring, wildlife, and environmental tracking, disaster response scenarios, etc. In this work, we present the design of an opportunistic contact based system, and we discuss basic results for the trial runs within our institute.Comment: 13 pages, 6 figures, and under 3000 words for submission to the SoftwareX journa

The Verdaland Rissa Landslides — Application of Case Histories in Education

Trøndelag is a region in Mid-Norway with large deposits of quick and sensitive clays. Accordingly, the quick clay sliding activity in the region is rather high. The two best known cases are presented in this paper, the Verdal and the Rissa landslides. These slides have had a significant impact on the teaching and research at the Norwegian University of Technology and Science (NTNU) and on how the communities and authorities relate to risk of new slides. The Geotechnical Group at NTNU has been working extensively with quick clay behaviour through decades, particularly on understanding the progressive failure mechanism and modelling of it, in the latest years through finite element analyses. The paper presents these two specific cases, the Verdal and the Rissa quick clay slides, and how these have contributed to the research work and education at the Geotechnical Group at NTNU. Focus will be on development of thesis work on the soil conditions and slope stability in the Verdal valley and on thesis on quick clay behaviour and failure mechanisms in particular

Bio-based sustainable aerogels: New sensation in CO2 capture

Bio-based aerogels with customizable porosities and functionalities constitute significant potential for CO2 capture. Developing bio-based aerogels from different polysaccharides and proteins is a safe, economical, and environmentally sustainable approach. Polysaccharides are biodegradable, sustainable, renewable, and plentiful in nature. Because of these advantages, the use of bio-based aerogels with porosity and amine functionality has attracted considerable interest. In this review we have discussed the recent development in the synthesis of bio-based aerogels and their application in CO2 capture

Clustering Based Classification and Analysis of Data

This paper presents Clustering Based Document classification and analysis of data. The proposed Clustering Based classification and analysis of data approach is based on Unsupervised and Supervised Document Classification. In this paper Unsupervised Document and Supervised Document Classification are used. In this approach Document collection, Text Preprocessing, Feature Selection, Indexing, Clustering Process and Results Analysis steps are used. Twenty News group data sets [20] are used in the Experiments. For experimental results analysis evaluated using the Analytical SAS 9.0 Software is used. The Experimental Results show the proposed approach out performs

Analysis of Social Networking Sites Using K- Mean Clustering Algorithm

Clustering is one of the very important technique used for classification of large dataset and widely applied to many applications including analysis of social networking sites, aircraft accidental, company performance etc. In recent days, Communication, advertising through social networking sites are most popular and interactive strategy among the users. This research attempts to find the large scale measurement study and analysis, effectiveness of communication strategy, analyzing the information about the usage, people’s interest in social network sites in promoting and advertising their brand in social networking sites. The significance of the proposed work is determined with the help of various surveys, and from people who use these sites. Further a more specific pre-processing method is applied to clean data and perform the clustering method to generate patterns that will be work as heuristics for designing more effective social networking sites