Multimedia big data computing for in-depth event analysis

While the most part of ”big data” systems target text-based analytics, multimedia data, which makes up about 2/3 of internet traffic, provide unprecedented opportunities for understanding and responding to real world situations and challenges. Multimedia Big Data Computing is the new topic that focus on all aspects of distributed computing systems that enable massive scale image and video analytics. During the course of this paper we describe BPEM (Big Picture Event Monitor), a Multimedia Big Data Computing framework that operates over streams of digital photos generated by online communities, and enables monitoring the relationship between real world events and social media user reaction in real-time. As a case example, the paper examines publicly available social media data that relate to the Mobile World Congress 2014 that has been harvested and analyzed using the described system.Peer ReviewedPostprint (author's final draft

La lúdica, como núcleos espaciales en la arquitectura social: centro social para habitantes de calle en el Voto Nacional

Trabajo de investigaciónEl proyecto comprende la transformación social del niño que habita en la calle por medio de una arquitectura sensible, lúdica y flexible. Siendo un tema omitido cuando se proyecta y construye, un agravante que cada día crece más en Bogotá. Se plantea un equipamiento de transformación integral al usuario por medio de 5 estrategias de funcionalidad arquitectónica y lograr una reincorporación exitosa a la sociedad, mediante un patio de juegos, alojamiento para los infantes y sus madres, educación y trabajo. Se destaca el concepto de claustro, se trabajará con una metodología de educación integral como lo es la Reggio Emilia, enfocándose en la percepción de los materiales naturales y su entorno.1.RESUMEN 2.ABSTRACT 3.INTRODUCCIÓN 4.METODOLOGÍA 5.RESULTADOS 6.CONCLUSIONES 7.REFERENCIAS 8.ANEXOSPregradoArquitect

Análisis del uso del razonamiento Bayesiano en estudiantes de básica primaria

Diversas investigaciones sobre la enseñanza de la probabilidad han podido determinar que para las personas es difícil contar hechos en los cuales se privilegie la incertidumbre y a su vez incentive la capacidad para interpretar, comunicar y evaluar situaciones probabilísticas; esto ocurre porque la población está educada bajo la lógica determinista, la cual consiste en que el individuo siempre espere un mismo resultado, y este sea predecible, o bivalente; es decir, que corresponde a responder con un sí o un no. Se presenta un trabajo que centró la mirada en el análisis del razonamiento Bayesiano no como el hecho de utilizar algoritmos, sino como el tomar decisiones en situaciones de incertidumbre para estudiantes de básica primaria

Completion of S-55 Using GIS: A Practical Planning Tool

IHO Publication S-55 ‘Status of Hydrographic Surveying and Nautical Charting Worldwide’, is a most important publication of the International Hydrographic Organization (IHO) and is designed to provide a diagnosis of hydrographic requirements, due to the complete database on international hydrographic knowledge that it contains. This paper presents a methodology proposed by Colombia to calculate the status of the hydrographic surveys and nautical chart availability utilising a Geographic Information System (GIS), a methodology that may be used as a guide for any country determining the information needed for S-55. It was found that following this methodology the way, in which calculations of hydrographic capabilities are determined, may be standardised, and the result can provide an important planning tool to optimise the investment of hydrographic resources at a national and regional level

Sea-level variability in the Caribbean Sea over the last century

Mean sea level rise exposes coasts to increasing risks. For the Caribbean Sea, the regional and local sea-level behaviour is not well known. This study has investigated the sea level behavior in the region at different frequencies during the last century, to provide updated, accurate and useful information to implement coastal adaptation responses to sea-level hazards. Time series from 28 tide-gauges, 18 years of altimetry and various atmospheric and oceanographic climatologies have been used. Several new results have been found. The small Caribbean tides have significant long-term modulations. The net effect of the low frequency modulation of the tidal signal can change the maximum tidal range up to 23.5%. The seasonal sea level cycle is characterized by large spatial and temporal variability. The amplitude of the coastal annual harmonic ranges from 2 cm to 9 cm, peaking between August and October. The amplitude of the semi-annual harmonic has maximum amplitude of 6 cm but it is not significant at all stations. The barometric effect dominates the coastal semi-annual cycle, but it is insignificant in all the other sea level frequencies at the tide-gauges. The seasonal sea level cycle from altimetry confirms the results obtained from the tide-gauges and allows the identification of some dominant sea level forcing parameters such as the Panama-Colombia gyre driven by the wind stress curl and the Caribbean Low Level Jet modulating the sea level in the northern coast of South America and linked to the local upwelling. The basin average mean sea level rise from altimetry is 1.7±1.3 mm yr-1 for the period 1993-2010. Wind forcing changes causes the trends in the southern part of the basin, modulating the sea level through changes in the ocean circulation. Significant spatial and decadal variability of the trends is found. Secular coastal sea-level trends range from 1.3±0.2 mm yr-1 in Magueyes, where the steric contribution dominates, to 5.3±0.3 mm yr-1 in Cartagena, where other contributors including local vertical land movements are significant. Temporal changes in the sea level extremes are significant but in line with mean sea-level trends at each tide gauge. With the annual mean sea level removed, extremes range between 36 cm and 79 cm, the later recorded in Port Spain and caused by the largest tidal signal. The largest nontidal residual is 76 cm found in Magueyes, forced by a hurricane induced storm surge, however larger surges can occur in the basin. The interannual sea level signal and nontidal extremes correlate with El Niño-Southern Oscillation at different time and spatial scales. No correlation with the North Atlantic Oscillation is found at any frequency. The largest sea flooding probability in the Caribbean coasts is around October, when the different sea level contributors’ maximums interact. These sea flooding events are going to became more frequent in the future due to the secular mean sea level rise affecting the basin

Exploring sustainable technical alternatives for Dutch dairy systems by integrating agro-economic modelling and public preferences assessment

Theoretical discussions on the joint consideration of multiple (economic, social and environmental) functions when assessing the sustainability of human actions are increasing. However few studies exist that integrate the social demand for multifunctional agriculture in the evaluation of the sustainability and the global welfare of society. This paper presents a methodology to answer to these questions: Which are the social demands for the multiple functions of agriculture and how can they be quantified?; Which are the feasible technical alternatives of land management to satisfy these demands?; What is the value of the land use alternatives according to social preferences and which alternatives optimally satisfy the social preferences?. The net utility of alternatives for society, and therefore their sustainability, will be measured as the sum of market and non-market net changes compared to the current situation. The proposed methodology combines economic valuation, integrated modelling, stakeholder analysis, and multi-criteria evaluation. In particular, different multi-criteria methods (QFD/ANP) and agro-economic modelling and optimizing tools (Landscape IMAGES) were used. The methodology will be fully illustrated through the case study of dairy farming landscapes in the Northern Friesian Woodlands, The Netherlands. Results show that for the case study it is possible to change current farming techniques and achieve more sustainable farming systems. The more sustainable alternatives are beneficial for farmers, obtaining higher gross margin, and for government, decreasing the current levels of subsidies in agri-environmental programs. Even current environmental restrictions can be slightly relaxed without compromising social demands to the analysed Dutch dairy farming systems.Land-use planning, public preferences, agro-economic models, Environmental Economics and Policy, Livestock Production/Industries,

Multifunctional Impacts of the Olive Farming Practices in Andalusia, Spain: An Analytic Network Approach

Olive agriculture represents one of the most important economic activities in the region of Andalusia, Spain. Additionally to its economic importance the multifunctional character of agriculture and its wide territorial presence entails that it has a high potential incidence in the environmental and social dimensions of the sustainable development of the region. Despite this importance, it is hypothesised and aimed to be contrasted that olive farmers are not implementing the agricultural practices optimal from an economic, environmental and social point of view. Contrasting this hypothesis entails to evaluate with a holistic and systemic approach the multiple impacts of the different technical alternatives to diverse agricultural practices. The use of the Analytic Network Process, a Multiple Criteria Decision Analysis technique, will be illustrated as a useful approach to deal with this kind of problems characterised by complexity, lack of information and risk. The study will focus on the average yield, climatic, environmental, etc., conditions of olive cultivation in Andalusia. The results seem to confirm the initial hypothesis when comparing the current situation with different scenarios of optimal technical alternatives. In particular the technical alternatives implemented nowadays they are far from being environmentally optimal. The multifunctional benefits and the technical costs of a change from the current situation to these optimal scenarios will be analysed.Olive farming practices, Multifunctionality, Analytic Network Process, Farm Management,

Towards the cloudification of the social networks analytics

In the last years, with the increase of the available data from social networks and the rise of big data technologies, social data has emerged as one of the most profitable market for companies to increase their benefits. Besides, social computation scientists see such data as a vast ocean of information to study modern human societies. Nowadays, enterprises and researchers are developing their own mining tools in house, or they are outsourcing their social media mining needs to specialised companies with its consequent economical cost. In this paper, we present the first cloud computing service to facilitate the deployment of social media analytics applications to allow data practitioners to use social mining tools as a service. The main advantage of this service is the possibility to run different queries at the same time and combine their results in real time. Additionally, we also introduce twearch, a prototype to develop twitter mining algorithms as services in the cloud.Peer ReviewedPostprint (author’s final draft