GDTN: Genome-Based Delay Tolerant Network Formation in Heterogeneous 5G Using Inter-UA Collaboration

This work was supported by ‘The Cross-Ministry Giga KOREA Project’ grant from the Ministry of Science, ICT and Future Planning, Korea. Also, it was in part supported by the Soonchunhyang University Research Fund.With a more Internet-savvy and sophisticated user base, there are more demands for interactive applications and services. However, it is a challenge for existing radio access networks (e.g. 3G and 4G) to cope with the increasingly demanding requirements such as higher data rates and wider coverage area. One potential solution is the inter-collaborative deployment of multiple radio devices in a 5G setting designed to meet exacting user demands, and facilitate the high data rate requirements in the underlying networks. These heterogeneous 5G networks can readily resolve the data rate and coverage challenges. Networks established using the hybridization of existing networks have diverse military and civilian applications. However, there are inherent limitations in such networks such as irregular breakdown, node failures, and halts during speed transmissions. In recent years, there have been attempts to integrate heterogeneous 5G networks with existing ad hoc networks to provide a robust solution for delay-tolerant transmissions in the form of packet switched networks. However, continuous connectivity is still required in these networks, in order to efficiently regulate the flow to allow the formation of a robust network. Therefore, in this paper, we present a novel network formation consisting of nodes from different network maneuvered by Unmanned Aircraft (UA). The proposed model utilizes the features of a biological aspect of genomes and forms a delay tolerant network with existing network models. This allows us to provide continuous and robust connectivity. We then demonstrate that the proposed network model has an efficient data delivery, lower overheads and lesser delays with high convergence rate in comparison to existing approaches, based on evaluations in both real-time testbed and simulation environment.Yeshttp://www.plosone.org/static/editorial#pee

Search for the Decays B-D(0)-]Gamma-Gamma and B-S(0)-]Gamma-Gamma

Contains fulltext : 26235.pdf (publisher's version ) (Open Access

Observation of multiple hard photon final states at root s=130-140 GeV at LEP

Contains fulltext : 28593.pdf (preprint version ) (Open Access

Measurement of the Weak Charged Current Structure in Semileptonic B-Hadron Decays at the Z-Peak

Contains fulltext : 26230.pdf (publisher's version ) (Open Access

A framework to improve the quality of training provision within the substance misuse sector in England and Wales.

The provision of training and development for those working for, and within, the UK substance misuse sector has, in recent years, grown rapidly. Particularly influential has been the introduction of the Drug and Alcohol National Occupational Standards (DANOS 2003) which are aimed at increasing the competence of the broad workforce involved with the sector. Additionally, nationally recognised qualifications were introduced across both England and Wales during 2005. Training and development has always been prominent and valued within the sector. Indeed, in the past, a significant amount of training was developed and undertaken at a local level. However, it has been recognised that a national model of training is needed to ensure that organisations have the necessary competence to implement the National Drug Strategy. This document contains tools and forms relevant to the UK services system

Measurement of the branching ratios b -> e nu Chi, mu nu Chi, tau nu Chi, and nu Chi

The inclusive semileptonic branching ratios b --> e nu X, mu nu X, tau nu X and nu X have been measured at LEP with the L3 detector. The analysis is based on 2-jet hadronic Z decays obtained in the data collected between 1991 and 1992. Three separate event samples are analysed, containing electrons, muons and large missing energy (neutrinos), respectively. From the electron sample, we measure Br(b --> e nu X) = (10.89+/-0.20+/-0.51)% and, from the muon sample, Br(b --> mu nu X) = (10.82+/-0.15+/-0.59)%, where the first error is statistical and the second is systematic. From the missing energy sample, we measure Br(b --> nu X) = (23.08+/-0.77+/-1.24)%, assuming the relative semileptonic decay rates e:mu:tau = 1:1:(0.25+/-0.05), according to theoretical expectations. From a combined analysis of all three samples and constraining the relative semileptonic rates, we measure Br(b --> e nu X) = Br(b --> mu nu X) = (10.68+/-0.11+/-0.46)%. Alternatively, we can remove the constraint on the relative semileptonic rates and measure Br(b --> tau nu X) = (1.7+/-0.5+/-1.1)%