Abstract

Abstract: This work aims to deploy the term favourable sociolinguistic conditions framework proposed by F. X. Vila, M. Nogué and I. Vila in order to make it academically operational to analyse the factors that would foster the implementation of the Catalan linguistic norm. To achieve this goal, the starting point will be the concept of Catalan Sociolinguistics and some works of ours. Following systematically this concept, the paper analyses the factors that would foster the implementation of the Catalan linguistic norms. This will be done following the usual stages in the process of implementing norms: codification (including selection), spread and implementation (or not). These factors will be tentatively classified within each stage in decreasing order of influence. At the end of the paper, a general overview of the sociolinguistic disciplines that are more relevant for analysing the degree of implementation of the linguistic norm will be provided. Key words: evaluation, implementation, linguistic norms, Sociolinguistics, Language Planning.

Abstract

We have studied the construct of flexibility in higher education for many years, as researchers and practitioners. In this context we define flexibility as offering the student choices in how, what, where, when and with whom he or she participates in learning-related activities while enrolled in a higher education institution. In a textbook we wrote on the topic in 2001 we identified options that could be available to students in higher education to increase the flexibility of their participation. We studied these from the perspective not only of the student but also in terms of their implications for instructors and for higher-education institutions and examined the key roles that pedagogical change and technology play in increasing flexibility. Now is it nearly a decade later. We will revisit key issues relating to flexibility in higher education, identify in broad terms the extent to which increased flexibility has become established, is still developing, or has developed in ways we did not anticipate directly a decade earlier. We will also review our scenarios for change in higher education related to flexibility and contrast these with a more-recent set from the UK. Our major conclusion is that flexibility is still as pertinent a theme for higher education in 2011 as it was in 2001.

Abstract

Sweden is a geographically large and sparsely populated country, with a need for road transport for individuals as well as for logistics. Domestic road transport largely contributes to air pollutions, where passenger cars account for the largest share. Looking ahead, the present rate of reduction of emissions is not enough to reach the climate targets of a fossil free transport sector.  Electric road system (ERS) has emerged to deal with drawbacks of electric vehicles. Several solutions are being evaluated at demonstration projects. Until now, ERS is mainly associated with heavy vehicles and the relation to passenger cars is not as clear, where this study explores the social advantages of ERS and passenger cars.  A case study is conducted, where an ERS implementation between Helsingborg and Malmö as part of the European route E6 in Sweden is modelled. The NPV with an economic lifespan of 20 years and an interest rate of 3.5 percent amounts to 350 MSEK, considered as high profitable. The CO2 emissions of the studied system would be reduced by 102 000 tonnes CO2, corresponding to a decrease of about 60 percent. Looking at the studied system, heavy trucks are contributing to the most impact. Nevertheless, there is great potential for passenger cars utilising ERS to decrease their emissions and fuel costs.  Several semi-structured interviews have been conducted to highlight the prevailing views of ERS and passenger cars and the impact of cost-benefit analysis (CBA) for decision-making of transport investments. Several diverse views of ERS and passenger cars exist. ERS is a large investment, where the main need is among heavy vehicles. However, the profitability would increase as the amount of vehicles utilising ERS increases. In a future road transport system, it is possible that several technologies such as ERS, fast chargers and autonomous vehicles could be utilised simultaneous, and complete each other rather than being substitutes. It is conceivable that ERS is planned out of the needs of heavy vehicles, where passenger cars might benefit of the system as well. More passenger cars would likely utilise ERS as it is implemented to a greater extent.  Further, CBA could provide a perception of the investment. However, it does not ensure that the projects are performed or chosen out of highest NPV, since several aspects besides the profitability are considered. Available information of ERS for CBA is yet limited and more data, such as effect relations is needed to facilitate well-founded decisions. In the future, it is likely that CBA of transport investments would become more complex, where several technologies would be considered. The transport sector will most likely alter, and existing assessment methods will presumably be adjusted in line with this. Sverige är ett geografiskt stort och glesbefolkat land med ett stort behov av vägtransporter för såväl privatpersoner som för logistik. Inrikes vägtransport bidrar i stor utsträckning till luftföroreningar, där personbilar står för den största andelen av utsläppen. Den nuvarande minskningstakten av utsläpp är inte tillräcklig för att nå klimatmålen om en fossilfri transportsektor.  Elvägar (ERS) har utvecklats för att hantera utmaningar med elfordon. Flera lösningar av teknologin testas vid demonstrationsprojekt och hittills är ERS främst förknippat med tunga fordon. Dock är relationen till personbilar inte lika tydlig, där denna studie undersöker de samhälleliga fördelarna med ERS relaterat till personbilar.  En fallstudie har genomförts, där en installation av ERS mellan Helsingborg och Malmö som en del av E6 i Sverige modelleras. Nettonuvärdet med en ekonomisk livslängd på 20 år och en internränta om 3,5 procent uppgår till 350 MSEK, vilket betraktas som hög lönsam. Koldioxidutsläppen från det studerade systemet skulle minskas med 102 000 ton CO2, vilket motsvarar en minskning med drygt 60 procent. Utifrån det studerade systemet bidrar tunga lastbilar till den största inverkan. Likväl finns stor potential för personbilar att nyttja den installerade elvägen för att minska sina utsläpp och bränslekostnader.  Flera semistrukturerade intervjuer har genomförts för att lyfta fram de rådande synsätten på ERS och personbilar och effekterna av samhällsekonomiska analyser (CBA) vid beslutsfattande av transportinvesteringar. Det finns flera olika synsätt på ERS relaterat till personbilar. ERS är en stor investering, där det största behovet finns bland tunga fordon. Emellertid ökar lönsamheten med antalet fordon som använder systemet. I ett framtida vägtransportsystem är det möjligt att flera teknologier såsom ERS, snabbladdning av elbilar och autonoma fordon utnyttjas samtidigt och används som komplement istället för att ersätta varandra. Det är tänkbart att ERS planeras och installeras utifrån behoven hos tunga fordon, där även personbilar kan dra fördel av systemet. Dessutom är det sannolikt att fler personbilar skulle utnyttja ERS allteftersom det installeras i större utsträckning.  Vidare kan CBA ge en uppfattning om investeringen. Det säkerställer dock inte att projekten genomförs eller väljs utifrån högsta nettonuvärde, eftersom flera aspekter utöver lönsamheten beaktas. Tillgänglig information om ERS för CBA är ännu begränsad och mer data såsom effektsamband behövs för att säkerställa välgrundade beslut. I framtiden är det troligt att CBA av transportinvesteringar blir mer komplexa, där flera tekniker behöver beaktas. Transportsektorn kommer sannolikt att förändras, och befintliga bedömningsmetoder kommer förmodligen att anpassas i linje med detta.

Abstract

A variety of deep learning techniques are actively employed for advanced driver assistance systems, which in turn require gathering lots of heterogeneous driving data, such as traffic conditions, driver behavior, vehicle status and location information. However, these different types of driving data easily become more than tens of GB per day, forming a significant hurdle due to the storage and network cost. To address this problem, this paper proposes a novel scheme, called CoDR, which can reduce data volume by considering the correlations among heterogeneous driving data. Among heterogeneous datasets, CoDR first chooses one set as a pivot data. Then, according to the objective of data collection, it identifies data ranges relevant to the objective from the pivot dataset. Finally, it investigates correlations among sets, and reduces data volume by eliminating irrelevant data from not only the pivot set but also other remaining datasets. CoDR gathers four heterogeneous driving datasets: two videos for front view and driver behavior, OBD-II and GPS data. We show that CoDR decreases data volume by up to 91%. We also present diverse analytical results that reveal the correlations among the four datasets, which can be exploited usefully for edge computing to reduce data volume on the spot. Document type: Article

Abstract

This paper considers the role of communication in the implementation of corporate social responsibility (CSR) as a vital management system for achieving advantages and motivation in employees. The paper also highlights the relevant functions assumed by information professionals to overcome communication deficiencies and lack of knowledge about these relatively new areas of responsibility. A case study of Crédit Agricole España (CAE) is presented, with results that highlight the importance of all the communication-related aspects of implementing CSR.

Abstract

Under the necessities of reducing emissions and air pollution, and also for increasing fuel economy, automotive companies have been developing electric and plug-in hybrid electric vehicles. Since these vehicles are parked when the batteries are being charged, it is possible to use the traction power converter as on-board charger, also allowing to reduce weight, volume and costs of components in the vehicle. In this context, this paper presents a model predictive control algorithm for an on-board fast battery charging that uses the traction power converter of an electric vehicle. Simulation results and system implementation are depicted, and finally, are presented some experimental results obtained with the proposed control system. (undefined) info:eu-repo/semantics/publishedVersion Document type: Part of book or chapter of book