Edinburgh Napier University

About: Edinburgh Napier University is a education organization based out in Edinburgh, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 2665 authors who have published 6859 publications receiving 175272 citations.

Knowledge management issues for online organisations: ‘communities of practice’ as an exploratory framework

Abstract: Communities of practice have been identified as sites where knowledge is created in organisations. The author reviews studies of situated learning and situated action and suggests that these two activities may characterise the learning process in communities of practice where they are supported by a distinctive ‘social’ infrastructure. She analyses recent fieldwork in three online communities (a digital library reference service, a virtual enterprise and an online shopping group) to discover to what extent they may be described as communities of practice, and to establish how they support participants’ learning.

A reassessment of the alternative press

Abstract: This article revisits the Comedia group's assessment of the alternative press as one of commercial failure. It examines the British alternative press of the 1990s and finds that, while financial exigency and anti-commercialism are still prevalent, new methods of reproduction and distribution have evolved that enable it to overcome the economic problems caused by such conditions. These methods are highly decentralized, relying on the sharing of resources and responsibility by editors, writers and readers. The findings suggest that Comedia's view is based on an inappropriate model of `market penetration' on the mainstream's terms, not on those of the alternative press. If instead the alternative press is considered as a co-operative enterprise based on alternative economic strategies firmly within the alternative public sphere, then there is reason for it to be considered a success.

A Novel Multimodal Collaborative Drone-Assisted VANET Networking Model

Abstract: Drones can be used for many assistance roles in complex communication scenarios and play as the aerial relays to support terrestrial communications. Although a great deal of emphasis has been placed on the drone-assisted networks, existing work focuses on routing protocols without fully exploiting the drones superiority and flexibility. To fill this gap, this paper proposes a collaborative communication scheme for multiple drones to assist the urban vehicular ad-hoc networks (VANETs). In this scheme, drones are distributed regarding the predicted terrestrial traffic condition in order to efficiently alleviate the inevitable problems of conventional VANETs, such as building obstacle, isolated vehicles, and uneven traffic loading. To effectively coordinate multiple drones, this issue is modeled as a multimodal optimization problem to improve the global performance on a certain space. To this end, a succinct swarm-based optimization algorithm, namely Multimodal Nomad Algorithm (MNA) is presented. This algorithm is inspired by the migratory behavior of the nomadic tribes on Mongolia grassland. Based on the floating car data of Chengdu China, extensive experiments are conducted to examine the performance of the MNA-optimized drone-assisted VANET. The results demonstrate that our scheme outperforms its counterparts in terms of hop number, packet delivery ratio, and throughput.