Route tracking diagnosis algorithm for EV energy prediction strategies

Current pollution issues generated by internal com bustion engine (ICE) based vehicles have lead to their progressive introduction of electrified transport systems. However, their main drawback is their poor autonomy when compared to conventional vehicles. In order to mitigate this issue, the scientific community is extensively researching on energy optimization and prediction strategies to extend the autonomy of electric vehicles (EV). In general, such strategies require the knowledge of the route profile, being of capital importance to identify whether the vehicle is on route or not. Considering this, in this paper, a geo-fence based route tracking diagnosis strategy is proposed and tested. The proposed strategy relies on the information provided by the Google Maps API (Application Programming Interface) to calculate the vehicles reference route. Additionally, a Global Positioning System (GPS) device is used to monitor the real vehicle position. The proposed strategy is validated throughout simulation and experimental tests.This work was supported in part by the H2020 European Commission under Grant 769944 (STEVE Project), Grant 824311 (ACHILES Project) and Grant 769902 (DOMUS Project) and in part by the research projects GANICS (KK 2017/00050), SICSOL (KK-2018/00064) and ENSOL (KK- 2018/00040), within the ELKARTEK program of the Gov ernment of the Basque Country. Finally, this work has been supported by the Department of Education, Linguistic Policy and Culture of the Basque Government within the fund for research groups of the Basque university system IT978-16

Geo-Fence Based Route Tracking Diagnosis Strategy for Energy Prediction Strategies Applied to EV

Nowadays, the shortage of energy and environmental pollution are considered as relevant problems due to the high amount of traditional automotive vehicles with internal combustion engines (ICEs). Electric vehicle (EV) is one of the solutions to localize the energy source and the best choice for saving energy and provide zero emission vehicles. However, their main drawback when compared to conventional vehicles is their limited energy storage capacity, resulting in poor driving ranges. In order to mitigate this issue, the scientific community is extensively researching on energy optimization and prediction strategies to extend the autonomy of EV. In general, such strategies require the knowledge of the route profile, being of capital importance to identify whether the vehicle is on route or not. Considering this, in this paper, a route tracking diagnosis strategy is proposed and tested. The proposed strategy relies on the information provided by the Google Maps API (Application Programming Interface) to calculate the vehicles reference route. Additionally, a Global Positioning System (GPS) device is used to monitor the real vehicle position. The proposed strategy is validated throughout simulation, Driver in the Loop (DiL) test and experimental tests.This work was supported in part by the H2020 European Commission under Grant 769944 (STEVE Project), Grant 824311 (ACHILES Project) and Grant 769902 (DOMUS Project) and in part by the research projects GANICS (KK-2017/00050), SICSOL (KK-2018/00064) and ENSOL (KK-2018/00040), within the ELKARTEK program of the Government of the Basque Country. Finally, this work has been supported by the Department of Education, Linguistic Policy and Culture of the Basque Government within the fund for research groups of the Basque university system IT978-16

Institutional leadership—the historical case study of a religious organisation

In this chapter, I discuss institutional leadership vis-à-vis the value of poverty. To do so, I analyse how poverty has been conceptualised within a Catholic religious organisation, the Jesuits. The chapter shows that, in the Jesuit case, poverty is not strictly defined. Instead, poverty results from the constant dialogue between the individual Jesuit and their leader. This means that the understanding of what constitutes poverty is neither explicit nor implicit. The chapter contributes to our understanding of institutional leadership as the promotion and protection of values, as per Selznick’s classical definition. However, we discuss a less known part of Selznick’s work in which the ambiguous character of values is highlighted. In this sense, and after the Jesuit case, we advance the possibility that the promotion and protection of institutional values by institutional leaders does not necessarily imply the definition of what a value is. As values are not defined beforehand but the result of a constant dialogue between the leader and their followers, institutional leadership can be revisited and freed from the heroic view that has long characterised it

The kinetic expression analysis of the cluster mdv1- mir-M9-M4, genes meq and vIL-8 differs between the lytic and latent phases of Marek's disease virus infection

hal-00776065International audienceGallid herpesvirus 2 (GaHV-2 or MDV-1, for Marek's disease virus type one) is a lymphotropic alphaherpesvirus that causes malignant CD4+ T-cell lymphoma in chicken. The rapid onset of tumour development and high mortality rates of Marek's disease (MD) make it an ideal model for studies of the induction of lymphoma by a virus in its natural host (Osterrieder et al., 2006). Like other herpesviruses, GaHV-2 has a two-phase life cycle, consisting of a lytic and a latent phase, the latter closely associated with the oncogenesis of GaHV-2. The lymphomagenesis induced by GaHV-2 seems to be complex and multifactorial and the precise molecular mechanisms of cell transformation remain unclear. Several gene products, such as Meq, vTR, vIL-8 and mdv1-mir-M4-5P, have been implicated in the process of oncogenesis (Lupiani et al., 2004; Parcells et al., 2001; Trapp et al., 2006; Zhao et al., 2011). As other mardiviruses and simplexviruses, GaHV-2 has a type E genome consisting of one unique long (UL) and one unique short (US) region, encompassing core genes and flanked by the inverted internal and terminal repeats of the long regions (IRL/TRL) and short regions (IRS/TRS), respectively (Tulman et al., 2000). The herpesvirus genusspecific genes, particularly those implicated in pathogenesis in the specific host, are located principally in the TRL/IRL and IRS/TRS regions. Several of the proteins encoded by the 30 predicted ORFs in the IRL/TRL regions have been characterized: (i) the product of meq the major oncogene (Jones et al., 1992; Levy et al., 2003; Liu & Kung, 2000; Liu et al., 1998), (ii) vIL-8, a viral protein analogous to chicken IL-8 (Liu et al., 1999; Parcells et al., 2001; Peng et al., 1995), (iii) the proteins of the 14 kDa family, including 14 kDA, B and C (Bradley et al., 1989; Hong et al., 1995), (iv) the products of R-LORF5a and R-LORF4 (Jarosinski et al., 2005; Ohashi et al., 1994

Schmallenberg virus among female lambs, Belgium, 2012

Reemergence of Schmallenberg virus (SBV) occurred among lambs (n = 50) in a sheep flock in Belgium between mid-July and mid-October 2012. Bimonthly assessment by quantitative reverse transcription PCR and seroneutralization demonstrated that 100% of lambs were infected. Viremia duration may be longer in naturally infected than in experimentally infected animals

In vivo and in vitro identification of a hypervariable region in Schmallenberg virus

Detected for the first time in 2011, Schmallenberg virus (SBV) is an orthobunyavirus of the Simbu serogroup that caused a large outbreak in European ruminants. In a tight time frame, data have been obtained on SBV epidemiology and the clinical pictures associated with this new viral infection, but little information is available on the molecular biology of SBV. In this study, SBV sequence variability was characterized from the central nervous system of two stillborn lambs in a naturally infected herd. A hypervariable region (HVR) was detected in the N-terminal region of the SBV Gc glycoprotein through sequencing and analysis of the two full-length genomes representative of intra-herd SBV dissemination. In vitro growth assays coupled with full-length genome sequencing were performed on the two isolates after successive cellular passages, showing an in vitro adaptation of SBV and mutation accumulation inside the HVR in the absence of immune selective pressure.</jats:p

Schmallenberg virus infection of ruminants: challenges and opportunities for veterinarians

Fran&ccedil;ois Claine, Damien Coupeau, Laetitia Wiggers, Beno&icirc;t Muylkens, Nathalie Kirschvink Veterinary Department, Faculty of Sciences, Namur Research Institute for Life Sciences (NARILIS), University of Namur (UNamur), Namur, Belgium Abstract: In 2011, European ruminant flocks were infected by Schmallenberg virus (SBV) leading to transient disease in adult cattle but abortions and congenital deformities in calves, lambs, and goat kids. SBV belonging to the Simbu serogroup (family Bunyaviridae and genus Orthobunyavirus) was first discovered in the same region where bluetongue virus serotype 8 (BTV-8) emerged 5 years before. Both viruses are transmitted by biting midges (Culicoides spp.) and share several similarities. This paper describes the current knowledge of temporal and geographical spread, molecular virology, transmission and susceptible species, clinical signs, diagnosis, prevention and control, impact on ruminant health, and productivity of SBV infection in Europe, and compares SBV infection with BTV-8 infection in ruminants. Keywords: Schmallenberg virus, Europe, ruminants, revie

Influence of terrace widths on Au(111) reconstruction

International audienc