Semantic Geodemography and Urban Interoperability

Nowadays there exists an increasing interest on the use of the information collected by cities coming from different resources as data with dynamic nature like the one provided by sensor networks, as static data associated to the socio-technical system that the city performs. As well as the Semantic Sensor Web allows the standardization of data, it is essential to give an appropriate dealing to geo-demographic data. In this paper, an approach to the semantization of the geo-demographic information is presented, with the aim of achieving interoperability within other systems of the geospatial cyberinfrastructure. Furthermore, fundamental aspects of the creation of ontologies by starting from socio-demographical systems are discussed and the process is illustrated with a case study.Ministerio de Ciencia e Innovación TIN2009-09492Junta de Andalucía TIC-606

A Synchronized Shared Key Generation Method for Maintaining End-to-End Security of Big Data Streams

A large number of mission critical applications ranging from disaster management to smart city are built on the Internet of Things (IoT) platform by deploying a number of smart sensors in a heterogeneous environment. The key requirements of such applications are the need of near real-time stream data processing in large scale sensing networks. This trend gives birth of an area called big data stream. One of the key problems in big data stream is to ensure the end-to-end security. To address this challenge, we proposed Dynamic Prime Number Based Security Verification (DPBSV) and Dynamic Key Length Based Security Framework (DLSeF) methods for big data streams based on the shared key derived from synchronized prime numbers in our earlier works. One of the major shortcomings of these methods is that they assume synchronization of the shared key. However, the assumption does not hold when the communication between Data Stream Manager (DSM) and sensing devices is broken. To address this problem, this paper proposes an adaptive technique to synchronize the shared key without communication between sensing devices and DSM, where sensing devices obtain the shared key re-initialization properties from its neighbours. Theoretical analyses and experimental results show that the proposed technique can be integrated with our DPBSV and DLSeF methods without degrading the performance and efficiency. We observed that the proposed synchronization method also strengthens the security of the models

Ciudades inteligentes en colaboración con internet de las cosas

The use of the Internet has Reached a point in the world in Which it has Become essential in everyday life, the need to Have information at hand in the shortest possible time has generated a technological revolution That incurs the constant connection to this tool, from our Personal life to the same objects That we use in daily life, creating a need to check what surrounds us to Improve our quality of life, reason for the birth of the Internet of Things (IoT, for acronym in English), as well as the convergence of our environment through the creation with Technology of smart cities (Smart City in English). In view of the above, this article addresses concepts about the future of smart cities in collaboration with the Internet of things, the advantages and Disadvantages of these, their comparison, reception, adaptability.El uso de Internet ha llegado a un punto en el mundo en el que se ha vuelto esencial en la vida cotidiana, la necesidad de tener información a la mano en el menor tiempo posible ha generado una revolución tecnológica que incurre en la conexión constante a Internet, creando la necesidad de verificar lo que nos rodea para mejorar nuestra calidad de vida, razón por la cual nace Internet de las cosas (IoT, por sus siglas en inglés), también como la convergencia de nuestro entorno a través de la creación con de ciudades inteligentes (Smart City en inglés). En vista de lo anterior, este artículo aborda conceptos sobre el futuro de las ciudades inteligentes en colaboración con Internet de las Cosas, las ventajas y desventajas de estas, su comparación, recepción, adaptabilidad

Hypoxia modeling in Corpus Christi Bay using a hydrologic information system

textHypoxia is frequently detected during summer in Corpus Christi Bay, Texas, and causes significant harm to benthic organism population and diversity. Hypoxia is associated with the density stratification in the Bay but the cause of stratification is uncertain. To support the study of hypoxia and stratification, a cyberinfrastructure based on the CUAHSI (Consortium of Universities for the Advancement of Hydrologic Science, Inc) Hydrologic Information System (HIS) is implemented. HIS unites the sensor networks in the Bay by providing a standard data language and protocol for transferring data. Thus hypoxia-related data from multiple sources can be compiled into a structured database. In Corpus Christi Bay, salinity data collected from many locations and times are synthesized into a three-dimensional space-time continuum using geostatistical methods. The three dimensions are the depth, the distance along a transect line, and time. The kriged salinity concentration in space and time illuminates the pattern of movement of a saline gravity current along the bottom of the Bay. The travel time of a gravity current in the Bay is estimated to be on the order of one week and the speed is on the order of 1 km per day. Statistical study of high-resolution wind data shows that the stratification pattern in the Bay is related to the occurrence of strong, southeasterly winds in the 5 days prior to the observation. This relationship supports the hypothesis that stratification is caused by the wind initiating hypersaline gravity currents which flow from Laguna Madre into Corpus Christi Bay. An empirical physical hypoxia model is created that tracks the fate and transport of the gravity currents. The model uses wind and water quality data from real-time sensors published by HIS to predict the extent and duration of hypoxic regions in the Bay. Comparison of model results with historical data from 2005 to 2008 shows that wind-driven gravity currents can explain the spatially heterogeneous patterns of hypoxic zones in Corpus Christi Bay.Civil, Architectural, and Environmental Engineerin

Blockchain-based Security Framework for Critical Industry 4.0 Cyber-physical System

There has been an intense concern for security alternatives because of the recent rise of cyber attacks, mainly targeting critical systems such as industry, medical, or energy ecosystem. Though the latest industry infrastructures largely depend on AI-driven maintenance, the prediction based on corrupted data undoubtedly results in loss of life and capital. Admittedly, an inadequate data-protection mechanism can readily challenge the security and reliability of the network. The shortcomings of the conventional cloud or trusted certificate-driven techniques have motivated us to exhibit a unique Blockchain-based framework for a secure and efficient industry 4.0 system. The demonstrated framework obviates the long-established certificate authority after enhancing the consortium Blockchain that reduces the data processing delay, and increases cost-effective throughput. Nonetheless, the distributed industry 4.0 security model entails cooperative trust than depending on a single party, which in essence indulges the costs and threat of the single point of failure. Therefore, multi-signature technique of the proposed framework accomplishes the multi-party authentication, which confirms its applicability for the real-time and collaborative cyber-physical system.Comment: 07 Pages, 4 Figures, IEEE Communication Magazin

NASA's Earth Science Data Systems

NASA's Earth Science Data Systems (ESDS) Program has evolved over the last two decades, and currently has several core and community components. Core components provide the basic operational capabilities to process, archive, manage and distribute data from NASA missions. Community components provide a path for peer-reviewed research in Earth Science Informatics to feed into the evolution of the core components. The Earth Observing System Data and Information System (EOSDIS) is a core component consisting of twelve Distributed Active Archive Centers (DAACs) and eight Science Investigator-led Processing Systems spread across the U.S. The presentation covers how the ESDS Program continues to evolve and benefits from as well as contributes to advances in Earth Science Informatics

CA22112 - European Network on Livestock Phenomics (EU-LI-PHE)

As animal breeding relies on the availability of accurate and specific phenotype data to reach its goals, phenotyping is increasingly being recognised as a limiting factor in all applications of livestock genetics and genomics. The acquisition of relevant phenotypes is also fundamental to routine and daily management of livestock populations in order to optimise reproduction strategies, disease control and welfare of the animals. Consequently, this knowledge gap needs to be filled to facilitate long-term improvement and a sustainable landscape for livestock production. Phenomics is emerging as a major new technical discipline in biology. Phenomics is focused on one major aim: to systematically describe the phenome, referred to as the physical and molecular traits of an organism. This discipline can be defined as the ensemble of methodologies and technologies for the acquisition, analysis and exploitation of high-dimensional phenotypic data on an organism-wide scale. EU-LI-PHE will create a Europe-centred multidisciplinary, interconnected and inclusive community of experts that will enhance scientific collaboration, catalyse developments, and transfer livestock phenomics concepts and applications to improve the sustainability and competitiveness of the European livestock production sector. The Action will provide i) an overview of phenotyping technologies and infrastructures for applications in livestock phenomics, ii) approaches and methods for genome to phenome integration in livestock species, iii) computational resources and data analysis methods needed for this big data discipline, iv) a regulatory framework and a societal vision on livestock phenomics and v) a training environment for the benefit of the next generation of researchers in this field. Action keywords Livestock - Genomics - Phenotype - Breeding - Big Dat

5th Data Science Symposium [Book of Abstracts]

Modern digital scientific workflows - often implying Big Data challenges - require data infrastructures and innovative data science methods across disciplines and technologies. Diverse activities within and outside HGF deal with these challenges, on all levels. The series of Data Science Symposia fosters knowledge exchange and collaboration in the Earth and Environment research community

BEYOND LOCAL AND GLOBAL: UNPACKING THE MISSING MIDDLE IN ENVIRONMENTAL SENSING CYBERINFRASTRUCTURES

Today, when our time’s most important issues are framed as either local, global, or some combination of the two, what is the enduring importance of scale? Scholars within environmental humanities and science and technology studies have made calls to move away from local versus global dichotomies. This dissertation explores scale in infrastructures as they occur when resolving tensions between local and global, short- and long-term. Specifically, it addresses the concerns of scalar dichotomies, arguing that infrastructures entail much more than resolving tensions between the aforementioned scalar polarities. Through this dissertation, I employ ethnographic methods to illuminate the role of scale and scaling in the development of a low-power sea level sensing network on the South-Eastern coast of the United States. My research shows how infrastructures work across scalar dimensions of space, time, and human involvement. On the matter of space, I demonstrate spatial embedding as a scaling strategy where the project scales up by connecting to already existing structures, for example, when sensors are affixed to bridges and piers. Along the temporal dimension, I illustrate how linking the short- to the long-term is a form of scaling. I utilize rhythmanalysis to show how long-term rhythms such as climate change become linked to short-term issues, such as emergency response. I end by unpacking what it means to scale a human infrastructure, highlighting the contextual implications of adding another person or institution. I hope this work provides a framework through which researchers within infrastructure studies and related areas can attend to the missing middle, which contains a plurality of scales.Ph.D