Abstract UDT has emerged as a next generation protocol that effectively utilizes the bandwidth in Long Fat Networks (LFN). Lack of security features in UDT protocol is a major concern which has drawn scientist to explore various security mechanisms. As transport layer security mechanisms are mostly widely accepted mechanism to provide security to data in terms of confidentiality, integrity and Authentication,... UDT has emerged as a next generation protocol that effectively utilizes the bandwidth in Long Fat Networks (LFN). Lack of security features in UDT protocol is a major concern which has drawn scientist to explore various security mechanisms. As transport layer security mechanisms are mostly widely accepted mechanism to provide security to data in terms of confidentiality, integrity and Authentication, we have explored various standard mechanisms to provide security to UDT protocol. Through this paper, we propose an approach to integrate Secure Socket Layer with UDT protocol and present detailed analysis report of overhead involved and performance of secured UDT in an emulated testbed. Read More Read Less

Abstract There are plenty of user experience evaluation methods available in the literature. However, most user experience evaluation methods measured different dimensions of user experience. Therefore, Norman’s emotional design is proposed as a common conceptual framework for user experience. User experience evaluation method should measure emotional response related to visceral, behavioural and reflective. A case study of user experience testing was... There are plenty of user experience evaluation methods available in the literature. However, most user experience evaluation methods measured different dimensions of user experience. Therefore, Norman’s emotional design is proposed as a common conceptual framework for user experience. User experience evaluation method should measure emotional response related to visceral, behavioural and reflective. A case study of user experience testing was carried out and result revealed that the selected mobile device scored high on usable, medium on valuable and low on likeable. Thus, a user experience testing is designed to provide holistic view of a product. Read More Read Less

Abstract We utilize a recent form of the Nested Cavities (abbr. NC) classifier [1] from which a powerful new classification approach emerged. In this application there are many outliers in the datasets [5] which judiciously removed. Further, working on the classification of Stage 3 we found wide dispersal in the data. After considerable experimentation we concluded that, between Stage2 and Stage3... We utilize a recent form of the Nested Cavities (abbr. NC) classifier [1] from which a powerful new classification approach emerged. In this application there are many outliers in the datasets [5] which judiciously removed. Further, working on the classification of Stage 3 we found wide dispersal in the data. After considerable experimentation we concluded that, between Stage2 and Stage3 some of the data is misclassified. By including some of the Stage2 data with values very close to those of Stage3 and forming a New-Stage 3 ALL nine of the measured variables have tight value ranges and the whole data set visually appears as a well-defined cluster. In turn, accurate classification rules are obtained which had not been possible for the original partition into stages. These findings are explained, motivated and analyzed here. Read More Read Less

Abstract Different systems were implemented for environments mapping and navigation. Simultaneous Localization and Mapping process is considered an important one of them, this process allowed humans to be able to navigate and draw maps for environments where humans are not able to get through. Using several methods of preparing datasets for the landmarks of an environment, SLAM was able to navigate... Different systems were implemented for environments mapping and navigation. Simultaneous Localization and Mapping process is considered an important one of them, this process allowed humans to be able to navigate and draw maps for environments where humans are not able to get through. Using several methods of preparing datasets for the landmarks of an environment, SLAM was able to navigate and build its own map of landmarks based on them. In our work, we benefitted from previous approaches design an enhanced SLAM system, which is based on Artificial Neural Network. However, by training this network on real dataset of environments, our proposed system was able to navigate an environment and build its own map accurately and without prerequisite. Read More Read Less