Gestão de Recursos Humanos no Terceiro Setor: O Caso das Instituições Particulares de Solidariedade Social

O presente trabalho tem como objetivo geral estudar a gestão de recursos humanos (GRH) no terceiro setor, focando-se especificamente nas Instituições Particulares de Solidariedade Social (IPSS). Estas organizações têm vindo a demonstrar um papel cada vez mais relevante nas comunidades em que se inserem, pela sua missão em prestar serviços de cariz social e pela atual relevância como entidades empregadoras. A diversidade presente nas IPSS ao nível da estrutura, funcionamento, dimensão, organização e dinâmicas internas, proporciona o estudo e reflexão das especificidades na GRH. Para isso, abordam-se um conjunto de aspetos: i) diferenças entre meio empresarial e terceiro setor na GRH; ii) implicações da diversidade de respostas sociais e suas especificidades na gestão de pessoas; iii) o papel do Instituto de Segurança Social e as implicações legais na gestão de pessoas; iv) a localização geográfica e acesso a recursos humanos qualificados; v) a perspetiva das IPSS sobre os recursos humanos; vi) o perfil profissional dos colaboradores das IPSS; vii) práticas quotidianas na gestão de recursos humanos nas IPSS; viii) características da GRH nas IPSS (administrativa ou estratégica); ix) responsáveis pela GRH nas IPSS; x) o papel dos órgãos sociais na GRH; xi) profissionalização versus voluntariado; xii) a GRH, certificação e qualidade; xiii) as tendências do terceiro setor na gestão de pessoas. Foi utilizada uma metodologia qualitativa e aplicada a técnica de entrevista para recolher o conhecimento, experiências e perspetivas de diferentes interlocutores do terceiro setor, dirigentes, técnicos superiores, diretores de serviço, investigadores e representantes nacionais e distritais das IPSS. Da sistematização e análise dos dados recolhidos retiraram-se várias conclusões. As pessoas são consideradas o recurso mais importante para estas organizações, pela natureza social e humana das atividades desenvolvidas, prestadas por pessoas e destinadas a pessoas. Neste sentido, é demonstrada a importância do potencial humano aquando do recrutamento e seleção, pela primazia de requisitos como o relacionamento interpessoal em detrimento das qualificações. O perfil profissional característico das IPSS reconhece a importância da polivalência, disponibilidade, comprometimento, confiança, proximidade afetiva, voluntarismo e sentido de missão dos colaboradores, os quais tendem a ser são vistos como investimento tanto quanto reúnam estes aspetos; caso contrário podem ser encarados como custo. Quanto à acessibilidade a recursos humanos, surgem diferentes modalidades, consoante fatores de localização, dimensão, formação e estrutura organizacional, bem como o fenómeno da fuga de mão de obra, indício da dificuldade em captar e reter recursos humanos. O modelo de GRH nas IPSS é de cariz tradicional, caracterizado por uma gestão porimproviso com diferentes níveis de sensibilidade e capacidade das IPSS, no que concerne à implementação de processos de GRH, tais como sistemas de progressão na carreira, recrutamento interno e sistemas de avaliação de desempenho. Quanto aos aspetos da motivação e satisfação profissional, é assumida a importância da proximidade e apoio aos colaboradores, indicativos de um sistema de recompensas informal. É percetível a resistência na aplicação de técnicas de desenvolvimento organizacional, comprovada pela limitação na formação dos quadros de colaboradores. No entanto as IPSS são confrontadas com a rigidez dos instrumentos legais. A responsabilidade pela GRH é mais ou menos partilhada entre a direção técnica e os órgãos sociais, condicionada pelo estilo de liderança e relação de confiança entre si, em norma, pouco clara quanto aos papéis e funções desempenhadas. Por fim, é percebida a necessidade de coexistência de uma gestão profissionalizada e de direções voluntárias mais capacitadas e sensibilizadas para o desenvolvimento de metodologias e estratégias de gestão de pessoas, adaptadas às especificidades das IPSS. Este trabalho pretende contribuir com um espaço de reflexão para a elaboração de respostas mais eficazes e inovadoras que proporcionem o desenvolvimento organizacional, face às necessidades e transformações do terceiro setor. / This work main objective is the study of human resource management (HRM) in the third sector. It is focused specifically on Instituições Particulares de Solidariedade Social [Private Institutions for Social Solidarity] (IPSS). These kind of organizations have demonstrated an increased value in the communities they are inserted in, by providing social care services and by generating new jobs in the local communities. The study and reflection of HRM specificities is based on the variety in the structure, the purpose, the size, the internal organization and the dynamics of the different IPSS. For this purpose we explored the following aspects : i) the differences between business community and the third sector in HRM; ii) the implications of social responses diversity in people management; iii) the role of the National Insurance Institute and the legal impact on people management; iv) the geographic location and the IPSS access to skilled human resources; v) the understanding of IPSS on human resources; vi) the professional profile of IPSS employees; vii) the daily practices in human resource management on the IPSS; viii) the characteristics of HRM in IPSS (managerial or strategic); ix) who is responsible for HRM in IPSS; x) the role of executive board in HRM; xi) professionalization versus voluntary work; xii) HRM, quality and certification; xiii) the third sector trends in people management. The qualitative method and the interview technique were applied in order to gather knowledge, experiences and perspectives from several sources such as, different partners of the third sector, managers, service directors, technicians, researchers and national and local IPSS representatives. The results indicate several conclusions. Firstly the human resources are the most important resource of IPSS organizations due to the social nature of the services provided by them but also the importance of, the individual and social, skills required for these activities that are provided by people and are directed to people. This demonstrates the importance of interpersonal skills over professional qualifications during recruitment and selection. The IPSS recognize in their professionals the importance of versatility, availability, commitment, confidence, emotional proximity, voluntarism and sense of mission. If an employee fulfills these requirements, is considered an investment; otherwise might be seen as a cost. Regarding the accessibility of IPSS to qualified human resources, we consider different models, depending on location, size and training and organizational structure as well as the phenomenon run of hand labor, defined as the index of difficulty in capturing and retaining human resources. The model of HRM in IPSS is traditional in its nature and is characterized by management based on improvisation at different levels, regarding the implementation ofHRM processes such as career advancement systems, internal recruitment and performance evaluation. In regards to motivation and job satisfaction, it is valued the proximity and the support to the employees, showing therefore an informal system of rewards. There is a noticeable resistance to the application of organizational techniques which is demonstrated by controlling the formation of employees. However the IPSS are required to face the rigidity of legal instruments. The responsibility for HRM is shared between the technical direction and the management bodies, which depends on leadership style and mutual trust, and is generally unclear about the roles and duties performed. Finally, it becomes evident the need for coexistence between a professional management and a voluntary management, more capable and more sensible to the development of methods and strategies for people management, specifically adapted to each IPSS. This paper aims to contribute with space for reflection in the development of more effective and innovative responses for the organizational development, given the needs and transformations of the third sector.

Digital predistortion for compensation of nonlinearities in Radio over Fiber Links

In order to cope up with the ever increasing demand for larger transmission bandwidth, Radio over Fiber technology is a very beneficial solution. These systems are expected to play a major role within future fifth generation wireless networks due to their inherent capillary distribution properties. Nonlinear compensation techniques are becoming increasingly important to improve the performance of telecommunication channels by compensating for channel nonlinearities. Indeed, significant bounds on the technology usability and performance degradation occur due to nonlinear characteristics of optical transmitter, nonlinear generation of spurious frequencies, which, in the case of RoF links exploiting Directly Modulated Lasers , has the combined effect of laser chirp and optical fiber dispersion among its prevailing causes. The purpose of the research is to analyze some of the main causes of harmonic and intermodulation distortion present in Radio over Fiber (RoF) links, and to suggest a solution to reduce their effects, through a digital predistortion technique. Predistortion is an effective and interesting solution to linearize and this allows to demonstrate that the laser’s chirp and the optical fiber’s dispersion are the main causes which generate harmonic distortion. The improvements illustrated are only theoretical, based on a feasibility point of view. The simulations performed lead to significant improvements for short and long distances of radio over fiber link lengths. The algorithm utilized for simulation has been implemented on MATLAB. The effects of chirp and fiber nonlinearity in a directly modulated fiber transmission system are investigated by simulation, and a cost effective and rather simple technique for compensating these effects is discussed. A detailed description of its functional model is given, and its attractive features both in terms of quality improvement of the received signal, and cost effectiveness of the system are illustrated.

The role of muscarinic cholinergic signaling in cost-benefit decision making

Thesis (Ph.D.)--University of Washington, 2016-08

Seriously, less taxes? Tax reform's effects over labor supply

Using a matching and a difference in differences approach we analyzed the impact of a payroll costs reduction implemented through a tax reform in Colombia on worked hours and hourly income -- Existing studies have found mixed results, while increases in wages are commonly found, the results for employment and worked hours effects are a source of debate with no consensus on sight -- However, in line with earlier revisions of literature, we concluded that the effect of payroll costs reductions is positive and significant on both, worked hours and income -- In this paper, using socioeconomic data from Colombia we found that those individuals a effected by a payroll cost reduction between 2012-2014 exhibited significant increases in both hours and income compared to similar individuals una effected by this framework

BUILDING EFFICIENT AND COST-EFFECTIVE CLOUD-BASED BIG DATA MANAGEMENT SYSTEMS

In today’s big data world, data is being produced in massive volumes, at great velocity and from a variety of different sources such as mobile devices, sensors, a plethora of small devices hooked to the internet (Internet of Things), social networks, communication networks and many others. Interactive querying and large-scale analytics are being increasingly used to derive value out of this big data. A large portion of this data is being stored and processed in the Cloud due the several advantages provided by the Cloud such as scalability, elasticity, availability, low cost of ownership and the overall economies of scale. There is thus, a growing need for large-scale cloud-based data management systems that can support real-time ingest, storage and processing of large volumes of heterogeneous data. However, in the pay-as-you-go Cloud environment, the cost of analytics can grow linearly with the time and resources required. Reducing the cost of data analytics in the Cloud thus remains a primary challenge. In my dissertation research, I have focused on building efficient and cost-effective cloud-based data management systems for different application domains that are predominant in cloud computing environments. In the first part of my dissertation, I address the problem of reducing the cost of transactional workloads on relational databases to support database-as-a-service in the Cloud. The primary challenges in supporting such workloads include choosing how to partition the data across a large number of machines, minimizing the number of distributed transactions, providing high data availability, and tolerating failures gracefully. I have designed, built and evaluated SWORD, an end-to-end scalable online transaction processing system, that utilizes workload-aware data placement and replication to minimize the number of distributed transactions that incorporates a suite of novel techniques to significantly reduce the overheads incurred both during the initial placement of data, and during query execution at runtime. In the second part of my dissertation, I focus on sampling-based progressive analytics as a means to reduce the cost of data analytics in the relational domain. Sampling has been traditionally used by data scientists to get progressive answers to complex analytical tasks over large volumes of data. Typically, this involves manually extracting samples of increasing data size (progressive samples) for exploratory querying. This provides the data scientists with user control, repeatable semantics, and result provenance. However, such solutions result in tedious workflows that preclude the reuse of work across samples. On the other hand, existing approximate query processing systems report early results, but do not offer the above benefits for complex ad-hoc queries. I propose a new progressive data-parallel computation framework, NOW!, that provides support for progressive analytics over big data. In particular, NOW! enables progressive relational (SQL) query support in the Cloud using unique progress semantics that allow efficient and deterministic query processing over samples providing meaningful early results and provenance to data scientists. NOW! enables the provision of early results using significantly fewer resources thereby enabling a substantial reduction in the cost incurred during such analytics. Finally, I propose NSCALE, a system for efficient and cost-effective complex analytics on large-scale graph-structured data in the Cloud. The system is based on the key observation that a wide range of complex analysis tasks over graph data require processing and reasoning about a large number of multi-hop neighborhoods or subgraphs in the graph; examples include ego network analysis, motif counting in biological networks, finding social circles in social networks, personalized recommendations, link prediction, etc. These tasks are not well served by existing vertex-centric graph processing frameworks whose computation and execution models limit the user program to directly access the state of a single vertex, resulting in high execution overheads. Further, the lack of support for extracting the relevant portions of the graph that are of interest to an analysis task and loading it onto distributed memory leads to poor scalability. NSCALE allows users to write programs at the level of neighborhoods or subgraphs rather than at the level of vertices, and to declaratively specify the subgraphs of interest. It enables the efficient distributed execution of these neighborhood-centric complex analysis tasks over largescale graphs, while minimizing resource consumption and communication cost, thereby substantially reducing the overall cost of graph data analytics in the Cloud. The results of our extensive experimental evaluation of these prototypes with several real-world data sets and applications validate the effectiveness of our techniques which provide orders-of-magnitude reductions in the overheads of distributed data querying and analysis in the Cloud.

Rate of Belowground Carbon Allocation Differs with Successional Habit of Two Afromontane Trees

Background: Anthropogenic disturbance of old-growth tropical forests increases the abundance of early successional tree species at the cost of late successional ones. Quantifying differences in terms of carbon allocation and the proportion of recently fixed carbon in soil CO2 efflux is crucial for addressing the carbon footprint of creeping degradation. Methodology: We compared the carbon allocation pattern of the late successional gymnosperm Podocarpus falcatus (Thunb.) Mirb. and the early successional (gap filling) angiosperm Croton macrostachyus Hochst. es Del. in an Ethiopian Afromontane forest by whole tree (CO2)-C-13 pulse labeling. Over a one-year period we monitored the temporal resolution of the label in the foliage, the phloem sap, the arbuscular mycorrhiza, and in soil-derived CO2. Further, we quantified the overall losses of assimilated C-13 with soil CO2 efflux. Principal Findings: C-13 in leaves of C. macrostachyus declined more rapidly with a larger size of a fast pool (64% vs. 50% of the assimilated carbon), having a shorter mean residence time (14 h vs. 55 h) as in leaves of P. falcatus. Phloem sap velocity was about 4 times higher for C. macrostachyus. Likewise, the label appeared earlier in the arbuscular mycorrhiza of C. macrostachyus and in the soil CO2 efflux as in case of P. falcatus (24 h vs. 72 h). Within one year soil CO2 efflux amounted to a loss of 32% of assimilated carbon for the gap filling tree and to 15% for the late successional one. Conclusions: Our results showed clear differences in carbon allocation patterns between tree species, although we caution that this experiment was unreplicated. A shift in tree species composition of tropical montane forests (e. g., by degradation) accelerates carbon allocation belowground and increases respiratory carbon losses by the autotrophic community. If ongoing disturbance keeps early successional species in dominance, the larger allocation to fast cycling compartments may deplete soil organic carbon in the long run.

Prediction of Upward Flame Spread over Polymers

In this work, the existing understanding of flame spread dynamics is enhanced through an extensive study of the heat transfer from flames spreading vertically upwards across 5 cm wide, 20 cm tall samples of extruded Poly (Methyl Methacrylate) (PMMA). These experiments have provided highly spatially resolved measurements of flame to surface heat flux and material burning rate at the critical length scale of interest, with a level of accuracy and detail unmatched by previous empirical or computational studies. Using these measurements, a wall flame model was developed that describes a flame’s heat feedback profile (both in the continuous flame region and the thermal plume above) solely as a function of material burning rate. Additional experiments were conducted to measure flame heat flux and sample mass loss rate as flames spread vertically upwards over the surface of seven other commonly used polymers, two of which are glass reinforced composite materials. Using these measurements, our wall flame model has been generalized such that it can predict heat feedback from flames supported by a wide range of materials. For the seven materials tested here – which present a varied range of burning behaviors including dripping, polymer melt flow, sample burnout, and heavy soot formation – model-predicted flame heat flux has been shown to match experimental measurements (taken across the full length of the flame) with an average accuracy of 3.9 kW m-2 (approximately 10 – 15 % of peak measured flame heat flux). This flame model has since been coupled with a powerful solid phase pyrolysis solver, ThermaKin2D, which computes the transient rate of gaseous fuel production of constituents of a pyrolyzing solid in response to an external heat flux, based on fundamental physical and chemical properties. Together, this unified model captures the two fundamental controlling mechanisms of upward flame spread – gas phase flame heat transfer and solid phase material degradation. This has enabled simulations of flame spread dynamics with a reasonable computational cost and accuracy beyond that of current models. This unified model of material degradation provides the framework to quantitatively study material burning behavior in response to a wide range of common fire scenarios.

D3M: multicast listener mobility support mechanisms over distributed mobility anchoring architectures

The explosion in mobile data traffic is a driver for future network operator technologies, given its large potential to affect both network performance and generated revenue. The concept of distributed mobility management (DMM) has emerged in order to overcome efficiency-wise limitations in centralized mobility approaches, proposing not only the distribution of anchoring functions but also dynamic mobility activation sensitive to the applications needs. Nevertheless, there is not an acceptable solution for IP multicast in DMM environments, as the first proposals based on MLD Proxy are prone to tunnel replication problem or service disruption. We propose the application of PIM-SM in mobility entities as an alternative solution for multicast support in DMM, and introduce an architecture enabling mobile multicast listeners support over distributed anchoring frameworks in a network-efficient way. The architecture aims at providing operators with flexible options to provide multicast mobility, supporting three modes: the first one introduces basic IP multicast support in DMM; the second improves subscription time through extensions to the mobility protocol, obliterating the dependence on MLD protocol; and the third enables fast listener mobility by avoiding potentially slow multicast tree convergence latency in larger infrastructures, by benefiting from mobility tunnels. The different modes were evaluated by mathematical analysis regarding disruption time and packet loss during handoff against several parameters, total and tunneling packet delivery cost, and regarding packet and signaling overhead.

Pre-colonial institutions and long-run development in Latin America

The present doctoral thesis studies the association between pre-colonial institutions and long-run development in Latin America. The thesis is organised as follows: Chapter 1 places the motivation of the thesis by underlying relevant contributions in the literature on long-run development. I then set out the main objective of the thesis, followed by a brief outline of it. In Chapter 2, I study the effects of pre-colonial institutions on present-day socioeconomic outcomes for Latin America. The main thesis of this chapter is that more advanced pre-colonial institutions relate to better socioeconomic outcomes today - principally, but not only, through their effects on the Amerindian population. I test such hypothesis with a dataset of 324 sub-national administrative units covering all mainland Latin American countries. The extensive range of controls covers factors such as climate, location, natural resources, colonial activities and pre-colonial characteristics - plus country fixed effects. Results strongly support the main thesis. In Chapter 3, I further analyse the association between pre-colonial institutions and present-day economic development in Latin America by using the historical ethnic homelands as my main unit of analysis. The main hypothesis is that ethnic homelands inhabited by more advanced ethnic groups -as measured by their levels of institutional complexity- relate to better economic development today. To track these long-run effects, I construct a new dataset by digitising historiographical maps allowing me to pinpoint the geospatial location of ethnic homelands as of the XVI century. As a result, 375 ethnic homelands are created. I then capture the levels of economic development at the ethnic homeland level by making use of alternative economic measures --satellite light density data. After controlling for country-specific characteristics and applying a large battery of geographical, locational, and historical factors, I found that the effects of pre-colonial institutions relate to a higher light density --as a proxy for economic activity- in ethnic homelands where more advanced ethnic groups lived. In Chapter 4, I explore a mechanism linking the persistence of pre-colonial institutions in Latin America over the long-run: Colonial and post-colonial strategies along with the ethnic political capacity worked in tandem allowing larger Amerindian groups to "support" the new political systems in ways that would benefit their respective ethnic groups as well as the population at large. This mechanism may have allowed the effects of pre-colonial institutions to influence socioeconomic development outcomes up to today. To shed lights on this mechanism, I combine the index of pre-colonial institutions prepared for the second chapter of the present thesis with individual-level survey data on people's attitudes. By controlling for key observable and unobservable country-specific characteristics, the main empirical results show that areas with a history of more advanced pre-colonial institutions increase the probability of individuals supporting present-day political institutions. Finally, in Chapter 5, I summarise the main findings of the thesis, and emphasise the key weaknesses of the study as well as potential avenues for future research.

Response toolkit to provide an active response against intrusions using Ontology-Based IRS

Los sistemas de respuesta activa tienen por objetivo ejecutar una respuesta en contra de una intrusión de forma automática. Sin embargo, ejecutar una respuesta automáticamente no es una tarea trivial ya que el costo de ejecutar una respuesta podría ser más grande que el efecto que cause la intrusión propiamente dicha. También, el sistema debe contar con un amplio conjunto de acciones de respuesta y un algoritmo que seleccione la respuesta óptima. Este artículo propone un toolkit de respuestas que será integrado a un IRS basado en Ontologías para permitir la ejecución automática de la mejor respuesta cuando una intrusión es detectada. Se presenta un conjunto de respuestas basadas en host y basadas en red que pueden ser ejecutadas por el IRS, dicha ejecución es llevada a cabo mediante agentes basados en plugins que han sido distribuidos en la red. Finalmente, se realiza la verificación del sistema propuesto, tomando como caso de uso un ataque de defacement obteniéndose resultados satisfactorios.

Corporate governance and cost of capital: evidence from Pakistani listed firms

This thesis investigates the effectiveness of Corporate Governance (CG) reforms in Pakistan. Using a sample of 160 Pakistani firms from 2003 to 2013 and governance data collected manually from the annual reports, this thesis investigates seven closely related and important corporate issues that are related to the compliance of governance rules. Specifically, it aims to : (i) investigate the degree of CG compliance with 2002 Pakistani Code of CG (PCCG); (ii) determine whether the introduction of 2002 PCCG has improved Pakistani CG practices; (iii) investigate the determinants of CG compliance and disclosure for Pakistani listed firms; (iv) test the nexus between CG compliance with the 2002 PCCG and firms’ cost of capital (COC); (v) investigate the impact of different individual CG mechanisms on listed firms COC; (vi) examine how different ownership structures impact on firms’ COC; and (vii) analyse relationship between CG structures and Cost of Equity (COE) as well as Cost of Debt (COD) for Pakistani listed firms. These empirical investigations report some important results. First, the reported findings suggest that Pakistani firms have responded positively to governance disclosure requirements over the eleven year period from 2003 to 2013. The results also show that the introduction of the PCCG in 2002 has improved CG standards by Pakistani listed firms. Second, the reported results related to the determinants of CG compliance demonstrate that significant and positive association between institutional, government and foreign ownership with CG compliance. However, findings relating to the determinants of CG compliance show a negative and significant association between board size and block ownership with CG compliance and disclosure. The study finds no significant relationship between director ownership, audit firm size and the presence of female board members with the constructed Pakistan Corporate Governance Index (PCGI). Third, the investigation on the relationship between CG and COC report a significantly negative nexus between PCGI and firms’ COC. The investigation on the association between ownership structures and COC report a negative and significant nexus between block ownership with firms’ COC. Further, a number of robustness analyses performed in this study suggest that the empirical results reported in this study are generally robust to the alternative CG variables, alternative COC variables and potential endogeneity problems.

ESSAYS IN ENERGY, ENVIRONMENT AND TECHNOLOGICAL CHANGE

This dissertation studies technological change in the context of energy and environmental economics. Technology plays a key role in reducing greenhouse gas emissions from the transportation sector. Chapter 1 estimates a structural model of the car industry that allows for endogenous product characteristics to investigate how gasoline taxes, R&D subsidies and competition affect fuel efficiency and vehicle prices in the medium-run, both through car-makers' decisions to adopt technologies and through their investments in knowledge capital. I use technology adoption and automotive patents data for 1986-2006 to estimate this model. I show that 92% of fuel efficiency improvements between 1986 and 2006 were driven by technology adoption, while the role of knowledge capital is largely to reduce the marginal production costs of fuel-efficient cars. A counterfactual predicts that an additional $1/gallon gasoline tax in 2006 would have increased the technology adoption rate, and raised average fuel efficiency by 0.47 miles/gallon, twice the annual fuel efficiency improvement in 2003-2006. An R&D subsidy that would reduce the marginal cost of knowledge capital by 25% in 2006 would have raised investment in knowledge capital. This subsidy would have raised fuel efficiency only by 0.06 miles/gallon in 2006, but would have increased variable profits by $2.3 billion over all firms that year. Passenger vehicle fuel economy standards in the United States will require substantial improvements in new vehicle fuel economy over the next decade. Economic theory suggests that vehicle manufacturers adopt greater fuel-saving technologies for vehicles with larger market size. Chapter 2 documents a strong connection between market size, measured by sales, and technology adoption. Using variation consumer demographics and purchasing pattern to account for the endogeneity of market size, we find that a 10 percent increase in market size raises vehicle fuel efficiency by 0.3 percent, as compared to a mean improvement of 1.4 percent per year over 1997-2013. Historically, fuel price and demographic-driven market size changes have had large effects on technology adoption. Furthermore, fuel taxes would induce firms to adopt fuel-saving technologies on their most efficient cars, thereby polarizing the fuel efficiency distribution of the new vehicle fleet.

An Approach to Manage Reconfigurations and Reduce Area Cost in Hard Real-Time Reconfigurable Systems

This article presents a methodology to build real-time reconfigurable systems that ensure that all the temporal constraints of a set of applications are met, while optimizing the utilization of the available reconfigurable resources. Starting from a static platform that meets all the real-time deadlines, our approach takes advantage of run-time reconfiguration in order to reduce the area needed while guaranteeing that all the deadlines are still met. This goal is achieved by identifying which tasks must be always ready for execution in order to meet the deadlines, and by means of a methodology that also allows reducing the area requirements.

Tradicional ou Low Cost?

Sendo o sector do transporte aéreo considerado dos mais importantes no crescimento económico nacional e internacional, torna-se necessário comparar os vários tipos de consumidores, os seus comportamentos, e o que os leva a decidir escolher companhias aéreas low cost em detrimento de companhias aéreas tradicionais. Desta forma, este estudo propõe investigar se o preço, associado à satisfação do consumidor, tem impacto no momento de decisão, em detrimento de outros atributos como sejam a reputação da marca ou outras valências do produto oferecido. Assim, em função da satisfação, serão analisados os factores que maior influência exercem sobre os consumidores, no momento da compra. Considerando uma fase de pré-compra (momento que contempla consumidores que nunca utilizaram companhias aéreas low cost) e uma fase de pós-compra (momento que contempla consumidores que utilizam e consumidores que deixaram de utilizar este tipo de companhias), serão analisados os motivos que os levam a optar por um tipo em detrimento de outro.

Age-Dependent Fragility and Life-Cycle Cost Analysis of Timber and Steel Distribution Poles Subjected to Hurricanes

Power distribution systems are susceptible to extreme damage from natural hazards especially hurricanes. Hurricane winds can knock down distribution poles thereby causing damage to the system and power outages which can result in millions of dollars in lost revenue and restoration costs. Timber has been the dominant material used to support overhead lines in distribution systems. Recently however, utility companies have been searching for a cost-effective alternative to timber poles due to environmental concerns, durability, high cost of maintenance and need for improved aesthetics. Steel has emerged as a viable alternative to timber due to its advantages such as relatively lower maintenance cost, light weight, consistent performance, and invulnerability to wood-pecker attacks. Both timber and steel poles are prone to deterioration over time due to decay in the timber and corrosion of the steel. This research proposes a framework for conducting fragility analysis of timber and steel poles subjected to hurricane winds considering deterioration of the poles over time. Monte Carlo simulation was used to develop the fragility curves considering uncertainties in strength, geometry and wind loads. A framework for life-cycle cost analysis is also proposed to compare the steel and timber poles. The results show that steel poles can have superior reliability and lower life-cycle cost compared to timber poles, which makes them suitable substitutes.