Seaport monitoring and management is a significant research area, in which infrastructure automatically collects big data sets that lead the organization in its multiple activities. Thus, this problem is heavily related to the fields of data acquisition, transfer, storage, big data analysis and information visualization. Las Palmas de Gran Canaria port is a good example of how a seaport generates big data volumes through a network of sensors. They are placed on meteorological stations and maritime buoys, registering environmental parameters. Likewise, the Automatic Identification System (AIS) registers several dynamic parameters about the tracked vessels. However, such an amount of data is useless without a system that enables a meaningful visualization and helps make decisions. In this work, we present SmartPort, a platform that offers a distributed architecture for the collection of the port sensors’ data and a rich Internet application that allows the user to explore the geolocated data. The presented SmartPort tool is a representative, promising and inspiring approach to manage and develop a smart system. It covers a demanding need for big data analysis and visualization utilities for managing complex infrastructures, such as a seaport.

La llegada de numerosos inmigrantes latinoamericanos a Chile en los últimos años abre un debate en torno a qué política debiera implementarse para integrarlos a la sociedad. La presente investigación evaluó estas actitudes, utilizando la Escala de Ideología Multicultural (EIM), y analizó variables socio-demográficas y psicológicas como eventuales predictoras del multiculturalismo. Se utilizó un muestreo no probabilístico por cuotas, participando del estudio 400 chilenos (hombres = 193; mujeres = 207) entre 18 y 60 años (M = 32,5; DE = 12,6) de distintas comunas de Santiago, Chile. Se evaluó la dimensionalidad de la EIM con análisis factorial exploratorio y confirmatorio. Se realizaron también análisis de regresión lineal múltiple para determinar el efecto de variables socio-demográficas y psicológicas sobre la EIM. Los resultados mostraron 2 factores: Apoyo a la diversidad cultural y Apoyo a la homogeneidad cultural. En general, los chilenos demostraron un fuerte apoyo a la diversidad cultural. Además, el nivel socioeconómico, la edad y el sexo predijeron significativamente el multiculturalismo, del mismo modo que la empatía, la orientación a la dominancia social y la aculturación.Palabras clave: multiculturalismo, aculturación, dominancia social, empatía, ChileThe arrival of a large number of Latin American immigrants to Chile has sparked public debate about what policies should be implemented to integrate them into society. The present research evaluated these attitudes, using the Multicultural Ideology Scale (EIM), and analyzed socio-demographic and psychological variables as potential predictors of multiculturalism. A non-probability quota sampling was used to enroll 400 participants in the studyChilean adults (men = 193, women = 207) aged 18-60 years (M = 32.5, SD = 12.6)-from various districts of Santiago, Chile. Exploratory and confirmatory factor analyses were used to evaluate the dimensionality of the EIM. Multiple linear regression analyses were also used to determine the effect of socio-demographic and psychological variables on the EIM. The results revealed 2 factors: Support for cultural diversity and Support for cultural homogeneity. Overall, Chileans showed strong support for cultural diversity. In addition, socio-economic status, age, and gender significantly predicted multiculturalism, as well as empathy, social dominance orientation, and acculturation.Keywords: multiculturalism, acculturation, social dominance, empathy, Chile Alrededor de 1950 miles de latinoamericanos emigraron a Canadá, Estados Unidos de América y Europa, buscando mejores oportunidades de vida (J. Martínez, 2011). Pero, en la última década del siglo XX, el endurecimiento de los controles migratorios impuestos por varias sociedades industrializadas, aunado a la recuperación económica de algunos países de América Latina, llevó a que los latinoamericanos se desplazaran con mayor asiduidad hacia su propia región (Durand & Massey, 2010). Los principales polos de atracción fueron los países fronterizos, especialmente aquellos con e...

The complexity of interactions governing the coordination of loosely-coupled services, which forms the core of current software, brought behavioural issues up to the front of architectural concerns. This paper takes such a challenge seriously by lifting typical behaviour modelling techniques to the specification of both types and instances of architectural patterns in which the later ones are connected by ports that behave according to a water flow metaphor. A specific language is introduced for this purpose as well as a translator to mCRL2 so that the simulation and analysis techniques available in the corresponding toolset can be used to reason about (the behavioural layer of) software architectures. The approach is illustrated in a few examples.

Archery is a language for behavioural modelling of architectural patterns, supporting hierarchical composition and a type discipline. This paper extends Archery to cope with the patterns' structural dimension through a set of (re-)conguration combinators and constraints that all instances of a pattern must obey. Both types and instances of architectural patterns are semantically represented as bigraphical reactive systems and operations upon them as reaction rules. Such a bigraphical semantics provides a rigorous model for Archery patterns and reduces constraint verication in architectures to a type-checking problem.

Abstract. We examine the problem of inferring invariants for parametrized systems. Parametrized systems are concurrent systems consisting of an a priori unbounded number of process instances running the same program. Such systems are commonly encountered in many situations including device drivers, distributed systems, and robotic swarms. In this paper we describe a technique that enables leveraging off-the-shelf invariant generators designed for sequential programs to infer invariants of parametrized systems. The central challenge in invariant inference for parametrized systems is that naïvely exploding the transition system with all interleavings is not just impractical but impossible. In our approach, the key enabler is the notion of a reflective abstraction that we prove has an important correspondence with inductive invariants. This correspondence naturally gives rise to an iterative invariant generation procedure that alternates between computing candidate invariants and creating reflective abstractions.

Wearable monitoring devices are now a usual commodity in the market, especially for the monitoring of sports and physical activity. However, specialized wearable devices remain an open field for high-risk professionals, such as military personnel, fire and rescue, law enforcement, etc. In this work, a prototype wearable instrument, based on reconfigurable technologies and capable of monitoring electrocardiogram, oxygen saturation, and motion, is presented. This reconfigurable device allows a wide range of applications in conjunction with mobile devices. As a proof-of-concept, the reconfigurable instrument was been integrated into ad hoc glasses, in order to illustrate the non-invasive monitoring of the user. The performance of the presented prototype was validated against a commercial pulse oximeter, while several alternatives for QRS-complex detection were tested. For this type of scenario, clustering-based classification was found to be a very robust option.

ARCHERY is an architectural description language for modelling and reasoning about distributed, heterogeneous and dynamically reconfigurable systems in terms of architectural patterns. The language supports the specification of architectures and their reconfiguration. This paper introduces a language extension for precisely describing the structural design decisions that pattern instances must respect in their (re)configurations. The extension is a propositional modal logic with recursion and nominals referencing components, i.e., a hybrid μ-calculus. Its expressiveness allows specifying safety and liveness constraints, as well as paths and cycles over structures. Refinements of classic architectural patterns are specified.

Abstract. This paper studies the problem of formally verifying temporal properties of concurrent datatypes. Concurrent datatypes are implementations of classical data abstractions, specially designed to exploit the parallelism available in multiprocessor architectures. The correctness of concurrent datatypes is essential for the overall correctness of the client software. The main difficulty to reason about concurrent datatypes is due to the simultaneous use of unstructured concurrency and dynamic memory. The first contribution of this paper is the use of deductive temporal verification methods, in particular verification diagrams, enriched with reasoning about dynamic memory. Proofs using verification diagrams are decomposed into a finite collection of verification conditions. Our second contribution is a decision procedure mixing memory regions, pointers and lisp-like lists with locks, that allows the automatic verification of the generated verification conditions. We illustrate our techniques proving safety and liveness properties of lock-coupling concurrent lists.