Using crowdsourced imagery to detect cultural ecosystem services: a case study in South Wales, UK

Within ecological research and environmental management, there is currently a focus on demonstrating the links between human well-being and wildlife conservation. Within this framework, there is a clear interest in better understanding how and why people value certain places over others. We introduce a new method that measures cultural preferences by exploring the potential of multiple online georeferenced digital photograph collections. Using ecological and social considerations, our study contributes to the detection of places that provide cultural ecosystem services. The degree of appreciation of a specific place is derived from the number of people taking and sharing pictures of it. The sequence of decisions and actions taken to share a digital picture of a given place includes the effort to travel to the place, the willingness to take a picture, the decision to geolocate the picture, and the action of sharing it through the Internet. Hence, the social activity of sharing pictures leaves digital proxies of spatial preferences, with people sharing specific photos considering the depicted place not only “worth visiting” but also “worth sharing visually.” Using South Wales as a case study, we demonstrate how the proposed methodology can help identify key geographic features of high cultural value. These results highlight how the inclusion of geographical user-generated content, also known as volunteered geographic information, can be very effective in addressing some of the current priorities in conservation. Indeed, the detection of the most appreciated nonurban areas could be used for better prioritization, planning, and management.

Mejoramiento de procesos de manufactura utilizando Kanban

Este artículo presenta la aplicación de la metodología Kanban y el análisis del efecto que puede generar en una empresa de fabricación de transformadores de distribución. Mediante la aplicación de la metodología propuesta es posible mejorar la programación de la producción, con el objetivo de reducir la cantidad de producto en proceso que no es utilizado, de forma que se reduzca el inventario. Para analizar el efecto de aplicar la metodología Kanban en la empresa, se utilizo la técnica de simulación, para lo cual se modelizan el proceso actual y el propuesto con las reglas de dicha metodología. A partir de los resultados que arrojan dichas modelizaciones, se observa que existe un mejoramiento en las líneas de producción cuando se utiliza la metodología Kanban.

Como promover o desenvolvimento moral através da literatura infantil, em contexto de sala de aula?

Relatório de Estágio apresentado à Escola Superior de Educação do Instituto Politécnico de Castelo Branco para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Educação Pré-Escolar e Ensino do 1.º Ciclo do Ensino Básico.

Notoriedade dos produtos tradicionais de origem animal (DOP e IGP) do Alentejo

O presente trabalho visa conhecer o nível de notoriedade dos produtos tradicionais de origem animal (DOP e IGP) do Alentejo no mercado consumidor. Este objectivo foi alcançado através da realização de revisão bibliográfica com recurso às fontes secundárias disponíveis e de fontes primárias, nomeadamente de um questionário de avaliação da notoriedade dos produtos tradicionais (DOP e IGP) de origem animal do Alentejo expressamente desenvolvido para o efeito. A informação obtida permitiu caracterizar a oferta dos produtos tradicionais de origem animal do Alentejo, em termos quantitativos, qualitativos e diversidade, enquadrar teoricamente o tema da notoriedade no contexto do comportamento do consumidor e do marketing agro-alimentar e identificar os procedimentos metodológicos a serem utilizados e delineamento do trabalho de investigação. A análise dos dados recolhidos por inquérito, tratados com recurso a software e técnicas estatísticas descritivas, permitiram retirar conclusões relevantes, tais como a baixa notoriedade dos produtos DOP e IGP, o produto com mais notoriedade, Top-of-Mind, a Carnalentejana, entre outros. Foram identificados tanto nas fontes primárias como nas secundárias aspectos em comum: uma baixíssima notoriedade dos produtos certificados e uma preocupação e necessidade em haver mais acções de divulgação destes produtos. Dos 33 produtos certificados de origem animal do Alentejo, apuraram-se que apenas 26 se encontram a ser comercializados e em que muitos casos os agrupamentos remetem para os produtores a responsabilidade da promoção dos produtos. Foram ainda identificados tópicos para futuras pesquisas e para acções de marketing tendentes a melhorar a notoriedade dos produtos tradicionais de origem animal do Alentejo no mercado. ABSTRACT; The present work aims to know the level of renown of the traditional products of animal origin (DOP and IGP) of the Alentejo in the consumer market. This objective was reached through the realization of bibliographical revision with resource to the available secondary fountains and of primary fountains, namely of a questionnaire of evaluation of the renown of the traditional products (DOP and IGP) of animal origin of the Alentejo definitely developed for the effect. The obtained information allowed to characterize the offer of the traditional products of animal origin of the Alentejo, in quantitative, qualitative terms and diversity, to fit theoretically the subject of the renown in the context of the behavior of the consumer and of the food-rough marketing and to identify the methodological proceedings being used and delineation of the work of investigation. The analysis of the data gathered by inquiry, treated with resource the software and descriptive statistical techniques, allowed there withdrew relevant conclusions, such as the low renown of the products DOP and IGP, the product with more renown, Top-of-Mind, was the Carnalentejana, between others. Aspects were identified so much in the primary fountains how in secondary in common: a low renown of the certified products and a preoccupation and necessity in having more actions of spread/promotion of these products. Of 33 products made sure of animal origin of the Alentejo, they perfected that you punish 26 they are being marketed and in what many cases the groupings send for the producers the responsibility of the promotion of the products. Topics were still identified for future inquiries and for tending actions of marketing to improve the renown of the traditional products of animal origin of the Alentejo in the market.

A comunidade pitagórica : tipologia e identidade

Os modelos gregos clássicos de associações são fundamentalmente de dois tipos: o thíasos e a hetairía. Enquanto o primeiro está mais diretamente ligado à prática comum de cultos, à partilha de ritos e saberes mistéricos, a hetairía está mais ligada à idéia de uma associação de philoí, no sentido político de aliados e confrades que se encontram em um clube privado. A comunidade pitagórica é quase que unanimamente considerada pela tradição uma hetairía, e todavia muitas de suas características remeteriam mais claramente para o modelo do thíasos. Ambas as definições não parecem dar conta das singularidades da koinonía, que caracteriza o modo de vida pitagórico. ______________________________________________________________________________________ ABSTRACT

Marketing de cinema : a supply chain do sector cinematografico português

Mestrado em Marketing

A biased random-key genetic algorithm with forward-backward improvement for the resource constrained project scheduling problem

This paper presents a biased random-key genetic algorithm for the resource constrained project scheduling problem. The chromosome representation of the problem is based on random keys. Active schedules are constructed using a priority-rule heuristic in which the priorities of the activities are defined by the genetic algorithm. A forward-backward improvement procedure is applied to all solutions. The chromosomes supplied by the genetic algorithm are adjusted to reflect the solutions obtained by the improvement procedure. The heuristic is tested on a set of standard problems taken from the literature and compared with other approaches. The computational results validate the effectiveness of the proposed algorithm.

The Resource-Constrained Project Scheduling Problem with Work-Content Constraints

For executing the activities of a project, one or several resources are required, which are in general scarce. Many resource-allocation methods assume that the usage of these resources by an activity is constant during execution; in practice, however, the project manager may vary resource usage by individual activities over time within prescribed bounds. This variation gives rise to the project scheduling problem which consists in allocating the scarce resources to the project activities over time such that the project duration is minimized, the total number of resource units allocated equals the prescribed work content of each activity, and precedence and various work-content-related constraints are met.

Interoperable Resource Brokering with Policy-based Provisioning and Job Allocation

The increasing needs for computational power in areas such as weather simulation, genomics or Internet applications have led to sharing of geographically distributed and heterogeneous resources from commercial data centers and scientific institutions. Research in the areas of utility, grid and cloud computing, together with improvements in network and hardware virtualization has resulted in methods to locate and use resources to rapidly provision virtual environments in a flexible manner, while lowering costs for consumers and providers. However, there is still a lack of methodologies to enable efficient and seamless sharing of resources among institutions. In this work, we concentrate in the problem of executing parallel scientific applications across distributed resources belonging to separate organizations. Our approach can be divided in three main points. First, we define and implement an interoperable grid protocol to distribute job workloads among partners with different middleware and execution resources. Second, we research and implement different policies for virtual resource provisioning and job-to-resource allocation, taking advantage of their cooperation to improve execution cost and performance. Third, we explore the consequences of on-demand provisioning and allocation in the problem of site-selection for the execution of parallel workloads, and propose new strategies to reduce job slowdown and overall cost.

Energy resource scheduling in a real distribution network managed by several virtual power players

Smart Grids (SGs) appeared as the new paradigm for power system management and operation, being designed to integrate large amounts of distributed energy resources. This new paradigm requires a more efficient Energy Resource Management (ERM) and, simultaneously, makes this a more complex problem, due to the intensive use of distributed energy resources (DER), such as distributed generation, active consumers with demand response contracts, and storage units. This paper presents a methodology to address the energy resource scheduling, considering an intensive use of distributed generation and demand response contracts. A case study of a 30 kV real distribution network, including a substation with 6 feeders and 937 buses, is used to demonstrate the effectiveness of the proposed methodology. This network is managed by six virtual power players (VPP) with capability to manage the DER and the distribution network.

Short-term scheduling considering five-minute and hour-ahead energy resource management

The introduction of new distributed energy resources, based on natural intermittent power sources, in power systems imposes the development of new adequate operation management and control methods. This paper proposes a short-term Energy Resource Management (ERM) methodology performed in two phases. The first one addresses the hour-ahead ERM scheduling and the second one deals with the five-minute ahead ERM scheduling. Both phases consider the day-ahead resource scheduling solution. The ERM scheduling is formulated as an optimization problem that aims to minimize the operation costs from the point of view of a virtual power player that manages the network and the existing resources. The optimization problem is solved by a deterministic mixed-integer non-linear programming approach and by a heuristic approach based on genetic algorithms. A case study considering a distribution network with 33 bus, 66 distributed generation, 32 loads with demand response contracts and 7 storage units has been implemented in a PSCADbased simulator developed in the field of the presented work, in order to validate the proposed short-term ERM methodology considering the dynamic power system behavior.

Distributed energy resource short-term scheduling using signaled particle swarm optimization

Distributed Energy Resources (DER) scheduling in smart grids presents a new challenge to system operators. The increase of new resources, such as storage systems and demand response programs, results in additional computational efforts for optimization problems. On the other hand, since natural resources, such as wind and sun, can only be precisely forecasted with small anticipation, short-term scheduling is especially relevant requiring a very good performance on large dimension problems. Traditional techniques such as Mixed-Integer Non-Linear Programming (MINLP) do not cope well with large scale problems. This type of problems can be appropriately addressed by metaheuristics approaches. This paper proposes a new methodology called Signaled Particle Swarm Optimization (SiPSO) to address the energy resources management problem in the scope of smart grids, with intensive use of DER. The proposed methodology’s performance is illustrated by a case study with 99 distributed generators, 208 loads, and 27 storage units. The results are compared with those obtained in other methodologies, namely MINLP, Genetic Algorithm, original Particle Swarm Optimization (PSO), Evolutionary PSO, and New PSO. SiPSO performance is superior to the other tested PSO variants, demonstrating its adequacy to solve large dimension problems which require a decision in a short period of time.

Day-ahead resource scheduling in smart grids considering Vehicle-to-Grid and network constraints

Energy resource scheduling becomes increasingly important, as the use of distributed resources is intensified and massive gridable vehicle use is envisaged. The present paper proposes a methodology for dayahead energy resource scheduling for smart grids considering the intensive use of distributed generation and of gridable vehicles, usually referred as Vehicle- o-Grid (V2G). This method considers that the energy resources are managed by a Virtual Power Player (VPP) which established contracts with V2G owners. It takes into account these contracts, the user´s requirements subjected to the VPP, and several discharge price steps. Full AC power flow calculation included in the model allows taking into account network constraints. The influence of the successive day requirements on the day-ahead optimal solution is discussed and considered in the proposed model. A case study with a 33 bus distribution network and V2G is used to illustrate the good performance of the proposed method.

An integrated approach for distributed energy resource short term scheduling in smart grids considering realistic power system simulation

The large increase of distributed energy resources, including distributed generation, storage systems and demand response, especially in distribution networks, makes the management of the available resources a more complex and crucial process. With wind based generation gaining relevance, in terms of the generation mix, the fact that wind forecasting accuracy rapidly drops with the increase of the forecast anticipation time requires to undertake short-term and very short-term re-scheduling so the final implemented solution enables the lowest possible operation costs. This paper proposes a methodology for energy resource scheduling in smart grids, considering day ahead, hour ahead and five minutes ahead scheduling. The short-term scheduling, undertaken five minutes ahead, takes advantage of the high accuracy of the very-short term wind forecasting providing the user with more efficient scheduling solutions. The proposed method uses a Genetic Algorithm based approach for optimization that is able to cope with the hard execution time constraint of short-term scheduling. Realistic power system simulation, based on PSCAD , is used to validate the obtained solutions. The paper includes a case study with a 33 bus distribution network with high penetration of distributed energy resources implemented in PSCAD .

Application-specific modified particle swarm optimization for energy resource scheduling considering vehicle-to-grid

This paper presents a modified Particle Swarm Optimization (PSO) methodology to solve the problem of energy resources management with high penetration of distributed generation and Electric Vehicles (EVs) with gridable capability (V2G). The objective of the day-ahead scheduling problem in this work is to minimize operation costs, namely energy costs, regarding he management of these resources in the smart grid context. The modifications applied to the PSO aimed to improve its adequacy to solve the mentioned problem. The proposed Application Specific Modified Particle Swarm Optimization (ASMPSO) includes an intelligent mechanism to adjust velocity limits during the search process, as well as self-parameterization of PSO parameters making it more user-independent. It presents better robustness and convergence characteristics compared with the tested PSO variants as well as better constraint handling. This enables its use for addressing real world large-scale problems in much shorter times than the deterministic methods, providing system operators with adequate decision support and achieving efficient resource scheduling, even when a significant number of alternative scenarios should be considered. The paper includes two realistic case studies with different penetration of gridable vehicles (1000 and 2000). The proposed methodology is about 2600 times faster than Mixed-Integer Non-Linear Programming (MINLP) reference technique, reducing the time required from 25 h to 36 s for the scenario with 2000 vehicles, with about one percent of difference in the objective function cost value.