Managing nonuniformities and uncertainties in vehicle-oriented sensor data over next generation networks

Detailed and accurate vehicle-oriented sensor data is considered fundamental for efficient vehicle-to-everything V2X communication applications, especially in the upcoming highly heterogeneous, brisk and agile 5G networking era. Information retrieval, transfer and manipulation in real-time offers a small margin for erratic behavior, regardless of its root cause. This paper presents a method for managing nonuniformities and uncertainties found on datasets, based on an elaborate Matrix Completion technique, with superior performance in three distinct cases of vehicle-related sensor data, collected under real driving conditions. Our approach appears capable of handling sensing and communication irregularities, minimizing at the same time the storage and transmission requirements of Multi-access Edge Computing applications

The chemical, microbiological and volatile composition of kefir-like beverages produced from red table grape juice in repeated 24-h fed-batch subcultures

The aim of this work was to study the production of kefir-like beverages via the fed-batch fermentation of red table grape juice at initial pHs of 3.99 (fermentation A) and 5.99 (fermentation B) with kefir grains during 4 repeated 24-h fed-batch subcultures. All kefir-like beverages (KLB) were characterized by low alcoholic grade (≤3.6%, v/v) and lactic and acetic acid concentrations. The beverages obtained from fermentation B had lower concentrations of sugars and higher microbial counts than the KLB obtained in fermentation A. Additionally, the KLB samples from fermentation B were the most aromatic and had the highest contents of alcohols, esters, aldehydes and organic acids, in contrast with the nonfermented juice and KLB from fermentation A. These results indicate the possibility of obtaining red table grape KLB with their own distinctive aromatic characteristics and high content in probiotic viable cells, contributing to the valorization of this fruit.Ministerio de Ciencia, Innovación y Universidades | Ref. FPU16/04077Universidad Nacional de Jaén (Perú) | Ref. 2017-I-PRONABEC—Per

D32.1: Individual Use Cases and Test Scenarios Definition

ecoDriver targets a 20% reduction of CO2 emissions and fuel consumption in road transport by encouraging the adoption of green driving behaviour. Drivers will receive eco-driving recommendations and feedback adapted to them and to their vehicle characteristics. A range of driving profiles, powertrain

An approach to age and growth of south Atlantic swordfish (Xiphias gladius) stock

A first growth function was estimated for the South Atlantic swordfish stock. A total of 406 anal fins were collected from 2006 to 2013. Fins were classified into three types and the most common, type A, was selected. Biometric relationships among several ray section measurements and lower jaw fork length were analysed. A detailed methodological description for swordfish age interpretation has been developed. Inconclusive results have been obtained when indirect validation test, as edge type and marginal increment ratio analysis, were applied. Mean size at age and growth parameters were estimated using the Standard Von Bertalanffy growth model (VBGM) (L∞= 358.7, k= 0.092, t0= -1.929), which showed the best fit in comparison with other VBGMs

100 años investigando el mar. El IEO en su centenario (1914-2014).

Se trata de un libro que pretende divulgar a la sociedad las principales investigaciones multidisciplinares llevadas a cabo por el Instituto Español de Oceanografía durante su primer siglo de vida, y dar a conocer la historia del organismo, de su Sede Central y de los nueve centros oceanográficos repartidos por los litorales mediterráneo y atlántico, en la península y archipiélagos.Kongsberg 20

Application of AdaptIVe Evaluation Methodology.

Since the last decade, development efforts by academia and industry for automated driving functions have increased significantly. Also, the European research project AdaptIVe is looking into this topic. Within AdaptIVe, 21 different automated driving functions for different speed ranges and target areas have been developed. They have been developed in three sub projects (SPs), addressing different automation scenarios:Sub project 4: Automation in close-distance scenarios: Addresses manoeuvres at low speed (below 30 km/h) that are characterised by the presence of close obstacles, such as in parking manoeuvres.Sub project 5: Automation in urban scenarios: Deals with driving scenarios in urban environments that are characterised by an average speed range of 0 to 70 km/h.Sub project 6: Automation in highway scenarios: Addresses motorway scenarios (or motorway similar roads) considering velocities up to 130 km/h. Due to the large operation spaces and various complex situations that are covered by these functions, efforts for evaluation are expected to increase significantly. In order to enable an efficient assessment of automated driving functions, within the subproject 7 a comprehensive evaluation methodology addressing this challenge has been developed. Technical Assessment: Evaluates the performance of the developed automated driving functions with respect to a defined baseline.User-related Assessment: Analyses the interaction between the function and the user, trust, usability as well as acceptance of the developed functions.In-Traffic Assessment: Focuses on the effects of the surrounding traffic on the automated driving function as well as the effects of the automated driving function on the surrounding non-users.Impact Assessment: Determines the potential effects of the function with respect to safety and environmental aspects (e.g. fuel consumption, traffic efficiency).The evaluation methodologies developed in previous research projects dealt mainly with active safety functions, for which the assessment focused mainly on testing of functions’ use cases. For automated driving the assessment approach needs to be extended in order to ensure that the whole situation space which is addressed by the functions is covered. Therefore, in the developed evaluation approach the test resources are allocated based on the functions’ classification in order to enable a holistic and efficient assessment. Hence, the automated driving functions are classified based on their automation level and their operation time in two different function types: •Functions that operate only for a short period of time (seconds up to few minutes). Typical examples are automated parking functions and the minimum risk manoeuvre function. These functions are called "event based”.•Functions that, once they are active, can operate over a longer period of time (minutes up to hours). A typical example of this type of function is a “highway pilot”. They are called "continuously operating" functions

Properties and Crystallization of PNIPAM microgels

Hellweg T, Dewhurst C, Eimer W, Kratz K. Properties and Crystallization of PNIPAM microgels. In: Liz-Marzan L, Herves P, Mejuto JC, Tojo C, eds. Coloides e Interfases. Vigo, Spain: Universidade de Vigo, Servicio de publicacions; 2003: 69-74

An approach to age and growth of south Atlantic swordfish (Xiphias gladius) stock

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