ALBERT

Description: The integration of user-generated content made in a collaborative environment is being increasingly considered a valuable input to reference maps, even from official map agencies such as USGS and Ordnance Survey. In Brazil, decades of lack of investment has resulted in a topographic map coverage that is both outdated and unequally distributed throughout the territory. This paper aims to analyze the spatial distribution of updates of OpenStreetMap in rural and urban areas in the country to understand the patterns of user updates and its correlation with other economic and developmental variables. This analysis will contribute to generating the knowledge needed in order to consider the use of this data as part of a reference layer of the National Spatial Database Infrastructure as well to design strategies to encourage user action in specific areas.

Description: This paper focuses on optimal sensor deployment for indoor localization with a multi-objective evolutionary algorithm. Our goal is to obtain an algorithm to deploy sensors taking the number of sensors, accuracy and coverage into account. Contrary to most works in the literature, we consider the presence of obstacles in the region of interest (ROI) that can cause occlusions between the target and some sensors. In addition, we aim to obtain all of the Pareto optimal solutions regarding the number of sensors, coverage and accuracy. To deal with a variable number of sensors, we add speciation and structural mutations to the well-known non-dominated sorting genetic algorithm (NSGA-II). Speciation allows one to keep the evolution of sensor sets under control and to apply genetic operators to them so that they compete with other sets of the same size. We show some case studies of the sensor placement of an infrared range-difference indoor positioning system with a fairly complex model of the error of the measurements. The results obtained by our algorithm are compared to sensor placement patterns obtained with random deployment to highlight the relevance of using such a deployment algorithm.

Description: Shea trees grow across 4 million km2 of sub-Saharan Africa. Shea parklands provide a sustainable source of edible fat (shea butter) that, in terms of volume, is currently second only to cocoa butter as a vegetal source of stearic acid in the multi-billion dollar chocolate and cosmetic sectors. However, in terms of international trade, shea has been opaque to consumers of edible products (where the majority of shea exports end their global journey) and actually only well-known in western markets as a cosmetic ingredient. The millions of women collectors have been disconnected from global supply chains, as the majority of their sheanuts are factory processed, supplied by traders who, in many cases, do not understand quality issues nor share knowledge with their village-based collectors—this is the “Paradox of paradoxa”. This review provides the background to this issue by contextualizing the industry and describing how weak post-harvest quality control impacts the shea supply chain. The paper then explains how this knowledge was incorporated into a 3D animation available for free transmission to rural African audiences and viewing on portable devices like video capable mobile phones. This tool offers the potential of low-cost multiple benefits to users, which we term here a win-cubed [win3] opportunity, where women collectors can receive free knowledge of using less resources to produce higher quality shea kernels which in turn offer higher extraction yields, lowering production costs, of a better and more marketable product.

Description: Sustainable fishing includes the socioeconomic status of fishers. We combined empirical quality of life (QOL) and subjective lived experiences methods to explore the social sustainability of artisanal fishers in five fishery collectives along the coast of Jalisco, Mexico, where the average daily income is slightly above the poverty level. The QOL scores were also related to annual catch and incomes within each collective. A QOL index is used in this study that combines importance and achievement ratings scores; the results are indicative of an acceptable QOL for fishermen. The concept of lived experiences, incorporating aspects of life relating to Mind, Body, Work and People was explored through interviews with 12 fishers. The QOL data revealed that family and friends are important indicators related to positive QOL reported by the sample, while economic indicators were not important. Although four of the five collectives perceived that the future looks worse than the present and past, there was limited correlation between catch or income and QOL. However, while the lived experiences exercise in part supported the QOL findings, in that People was the most important dimension for almost all of the fishers interviewed, negative economic gaps related to poor catches and incomes were prevalent in the Mind and Work dimensions. The findings suggest that to understand the socioeconomic component of sustainable fisheries, both of these approaches should be considered, as they can illuminate different aspects of fishers’ lives that need to be considered during the development of fisheries’ management policies.

Description: Coastal fisheries contribute to global food security, since fish are an important source of protein for many coastal communities in the world. However, they are constrained by problems, such as weak management of fisheries and overfishing. Local communities perceive that they are fishing less, as in other fisheries in the world. The aim of this study was to evaluate the fisheries sustainability in the Jalisco coast through the fishing footprint, or fishprint (FP), based on the primary productivity required (PPR) and the appropriated surface by the activity (biocapacity). The total catch was 20,448.2 metric tons from 2002–2012, and the average footprint was calculated to be 65,458 gha/year, a figure that quadrupled in a period of 10 years; the biocapacity decreased, and the average trophic level of catches was 3.1, which implies that it has remained at average levels, resulting in a positive balance between biocapacity and ecological footprint. Therefore, under this approach, the fishing activity is sustainable along the coast of Jalisco.

Description: The impact of resources on social unrest is of increasing interest to political leaders, business and civil society. Recent events have highlighted that (lack of) access to critical resources, including food, energy and water, can, in certain circumstances, lead to violent demonstrations. In this paper, we assess a number of political fragility indices to see whether they are good indicators of propensity to food riots. We found that the most accurate is the Political Instability and Absence of Violence Indicator of the Worldwide Governance Indicators by the World Bank. We compute a likelihood of experiencing a food riot for each quartile of this index. We found that the self-sufficiency of food does not seem to affect the likelihood of the occurrence of food riots, but that the level of political stability of a country does have a role. In addition, we identify a monthly and annual threshold for the Food and Agriculture Organisation Food Price Index, above which food riots in fragile states are more likely to occur.

Description: Chronic joint pain is associated to an increase in the consumption of medication and decrease in life quality in elderly people, which requires developing non-pharmacological treatments. The aim of this study was to evaluate the effectivity of a group intervention, based on animal-assisted therapy and applied to elderly people with chronic joint pain and polymedication, regarding the decrease of chronic pain, use of analgesics and improvement of life quality. A randomized controlled trial, two arms and open-label was conducted in a Primary Health Center. Twelve weekly sessions of kinesitherapy; in the EG, these exercises were performed with the additional assistance of the therapy dog. A total of 52 participants (22 Control Group (CG), 30 EG), average age 77.50 (±7.3), women 90.4%. A significant reduction on post-intervention values of pain β = −0.67(−1.27, −0.08), p = 0.03 and pain induced insomnia β = −0.53(−1.01, −0.05), p = 0.03 was found in EG for increasing baseline values. Animal-assisted therapy leads to an additional reduction in the perception of pain and pain induced insomnia in individuals with higher baseline severity. The presence of the dog improves the attachment to intervention and the satisfaction of the participants.

Description: Sustainable smart buildings play an essential role in terms of more efficient energy. However, these buildings as electric loads are affected by an important distortion in the current and voltage waveforms caused by the increasing proliferation of nonlinear electronic devices. Overall, buildings all around the world consume a significant amount of energy, which is about one-third of the total primary energy resources. Optimization of the power transfer process of such amount of energy is a crucial issue that needs specific tools to integrate energy-efficient behaviour throughout the grid. When nonlinear loads are present, new capable ways of thinking are needed to consider the effects of harmonics and related power components. In this manner, technology innovations are necessary to update the power factor concept to a generalized total or a true one, where different power components involved in it calculation, properly reflect each harmonic interaction. This work addresses an innovative theory that applies the Poynting Vector philosophy via Geometric Algebra to the electromagnetic energy transfer process providing a physical foundation. In this framework, it is possible to analyse and detect the nature of disturbing loads in the exponential growth of new globalized buildings and architectures in our era. This new insight is based on the concept of geometric objects with different dimension: vector, bivector, trivector, multivector. Within this paper, these objects are correlated with the electromagnetic quantities responsible for the energy flow supplied to the most common loads in sustainable smart buildings. Besides, it must be considered that these phenomena are characterized by a quality index multivector appropriate even for detecting harmonic sources. A numerical example is used to illustrate the clear capabilities of the suggested index when it applies to industrial loads for optimization of energy control systems and enhance comfort management in smart sustainable buildings.

Description: Severity of drought in California (U.S.) varies from year-to-year and is highly influenced by precipitation in winter months, causing billion-dollar events in single drought years. Improved understanding of the variability of drought on decadal and longer timescales is essential to support regional water resources planning and management. This paper presents a soft-computing approach to forecast the Palmer Drought Severity Index (PDSI) in California. A time-series of yearly data covering more than two centuries (1801–2014) was used for the design of ensemble projections to understand and quantify the uncertainty associated with interannual-to-interdecadal predictability. With a predictable structure elaborated by exponential smoothing, the projections indicate for the horizon 2015–2054 a weak increase of drought, followed by almost the same pace as in previous decades, presenting remarkable wavelike variations with durations of more than one year. Results were compared with a linear transfer function model approach where Pacific Decadal Oscillation and El Niño Southern Oscillation indices were both used as input time series. The forecasted pattern shows that variations attributed to such internal climate modes may not provide more reliable predictions than the one provided by purely internal variability of drought persistence cycles, as present in the PDSI time series.

Description: Sensing systems in combination with treatment tools and intelligent information management are the basis on which the cities and urban environments of the future will be built. Progress in the research and development of these new and intelligent scenarios is essential to achieve the objectives of efficiency, integration, sustainability, and quality of life for people who live in cities. To achieve these objectives, it is essential to investigate the development of cheaper, more accurate, and smarter hardware devices, which will form the basis of the intelligent environments of the future. This article focuses on an approach based on intelligent multi-agent systems that are integrated into basic hardware devices for the Internet of Things (IoT). A multi-agent architecture is proposed for the fast, efficient, and intelligent management of the generated data. A layer of services adapted to the needs of the new intelligent environments is built on this architecture. With the aim of validating this architecture, a case study based on electric vehicles of the e-bike type is proposed.