Maritime domain awareness : pillar for sustainable development of maritime transportation

Doutoramento em Estudos de Desenvolvimento

Pelas mãos do socioeducativo : práticas disciplinares na medida socioeducativa de internação

Dissertação (mestrado)—Universidade de Brasília, Instituto de Ciências Humanas, Departamento de Serviço Social, Programa de Pós-Graduação em Política Social, 2016.

Enotourism – more than a life style

Enotourism is a relatively new form of sustainable tourism. But is more than a lifestyle. The Douro landscape reflects its ancient and deep connection with the culture of wine, creating a picture of Man and Nature working side by side in search of the perfect wine. Lifestyle typically reflects: an individual's attitude, a way of life, values, or world view. Practical implications - the results suggest that there is scope for developing wine tourism products to attract tourists and which could be used to promote the Douro Valley region as a centre for enotourism. The beautifully unique landscape of the Douro was one of the reasons that made it a World Heritage site in 2001. There isn´t in Portugal an autonomous strategy process to define enotourism. Is a legal problem when we try to analyse the process or a data base to find information about enotourism players. So, how do winery operators, particularly those running small or family businesses, cope with the new developments occurring in the world of wines? The present study examines these issues from the perspective of a group of Portuguese winery operators. Our proposal in this research, is to analyse how many wineris or enotecas are hable to develop enotourism with a legal process. The results of the study reflect the level of education of employees, the seasonal nature of tourism, the improvements in its promotion and the need for greater support from local government. A key aspect is respect for the people who call the location home, the culture and customs of the area, and the socio-economic system. Design/methodology/approach - The methodology employed for this study consisted of a combination of surveys, interviews and field observations with the suppliers in the traditional wine‐producing region, Douro Valley, or Porto wine region, in the north of Portugal. The results of this investigation are almost analisys made inside the villages and also us wineries and enotecas. From the 30 winemakers that we visited, only 2 have an enotourism service acording to legislation and have a certificate that allows to pratices. It was very hard but it is an open field to future researchs (TOMÁS López‐Guzmán,et al, 2011). From the 30 wineries we have analysed only 2 were enotourism with a legal basis. Enotourism is on the travel agencies department and most of the wineries don´t have the legal licenses. Despite of most tourism agencies see enoturism as a segment of the industry with tremendous growth potential, stating that in some regions, it's only functioning at 20% of its full potential. Enotourism development guidelines and management practices are applicable to all forms of tourism in all destination types, including mass tourism and the various niche tourism segments.

Investing for impact. An exploration of impact investments in rural Ghana

This thesis offers an exploration of impact and social investments for agricultural development projects in Sub-Saharan Africa. It does so through the case of SustAgric-Africa (SAA), a social enterprise that aims to lift smallholder farmers out of poverty through the promotion of sustainable farming and operates with capital provided by a variety of investors who are committed to pairing financial returns with social and environmental outcomes. The thesis sets off to answer the following research questions: What is the moral dimension that emerges in finance with the establishment of environmental and social criteria? What kind of arrangements do social and impact investments give origin to? Is it possible to talk about a ‘spirit of the gift’ in such arrangements? What happens when abstract and globalizing ideas around ‘impact’ hit the ground? Drawing from the STS and Actor-Network Theory, I look at the formation engendered by social and impact investments in terms of a socio-technical arrangement, and look at the movements of “objects” between the main actors in terms of circuits. In these processes ideas about ‘value’ and ‘values’ articulate in complex ways in the interplay of gift, debt and credit in the relationships among the three main categories of involved actors: investors, SAA, and the farmers. In the case of SAA, I contend that the ways abstract and globalising ideas about ‘impact’ hit the ground produce uncertain results and contribute to the reproduction of inequalities and unequal wealth distribution and accumulation, deepening ongoing processes of financialization. However, my ethnography also reveals how actors depicted as beneficiaries of impact and social policies and resources, far from being passive recipients of policies and resources, actually question and appropriate them, potentially unsettling the whole arrangement and the moral and ethical claims underpinning it.

Distributed ledger technologies between anonymity and transparency: AML/CFT regulation of cryptocurrency ecosystems in the EU

The advent of Bitcoin suggested a disintermediated economy in which Internet users can take part directly. The conceptual disruption brought about by this Internet of Money (IoM) mirrors the cross-industry impacts of blockchain and distributed ledger technologies (DLTs). While related instances of non-centralisation thwart regulatory efforts to establish accountability, in the financial domain further challenges arise from the presence in the IoM of two seemingly opposing traits: anonymity and transparency. Indeed, DLTs are often described as architecturally transparent, but the perceived level of anonymity of cryptocurrency transfers fuels fears of illicit exploitation. This is a primary concern for the framework to prevent money laundering and the financing of terrorism and proliferation (AML/CFT/CPF), and a top priority both globally and at the EU level. Nevertheless, the anonymous and transparent features of the IoM are far from clear-cut, and the same is true for its levels of disintermediation and non-centralisation. Almost fifteen years after the first Bitcoin transaction, the IoM today comprises a diverse set of socio-technical ecosystems. Building on an analysis of their phenomenology, this dissertation shows how there is more to their traits of anonymity and transparency than it may seem, and how these features range across a spectrum of combinations and degrees. In this context, trade-offs can be evaluated by referring to techno-legal benchmarks, established through socio-technical assessments grounded on teleological interpretation. Against this backdrop, this work provides framework-level recommendations for the EU to respond to the twofold nature of the IoM legitimately and effectively. The methodology cherishes the mutual interaction between regulation and technology when drafting regulation whose compliance can be eased by design. This approach mitigates the risk of overfitting in a fast-changing environment, while acknowledging specificities in compliance with the risk-based approach that sits at the core of the AML/CFT/CPF regime.

Mind the gaps: cognitive-inspired AI for high-level visual sensemaking. Towards abstract concept image classification

The abundance of visual data and the push for robust AI are driving the need for automated visual sensemaking. Computer Vision (CV) faces growing demand for models that can discern not only what images "represent," but also what they "evoke." This is a demand for tools mimicking human perception at a high semantic level, categorizing images based on concepts like freedom, danger, or safety. However, automating this process is challenging due to entropy, scarcity, subjectivity, and ethical considerations. These challenges not only impact performance but also underscore the critical need for interoperability. This dissertation focuses on abstract concept-based (AC) image classification, guided by three technical principles: situated grounding, performance enhancement, and interpretability. We introduce ART-stract, a novel dataset of cultural images annotated with ACs, serving as the foundation for a series of experiments across four key domains: assessing the effectiveness of the end-to-end DL paradigm, exploring cognitive-inspired semantic intermediaries, incorporating cultural and commonsense aspects, and neuro-symbolic integration of sensory-perceptual data with cognitive-based knowledge. Our results demonstrate that integrating CV approaches with semantic technologies yields methods that surpass the current state of the art in AC image classification, outperforming the end-to-end deep vision paradigm. The results emphasize the role semantic technologies can play in developing both effective and interpretable systems, through the capturing, situating, and reasoning over knowledge related to visual data. Furthermore, this dissertation explores the complex interplay between technical and socio-technical factors. By merging technical expertise with an understanding of human and societal aspects, we advocate for responsible labeling and training practices in visual media. These insights and techniques not only advance efforts in CV and explainable artificial intelligence but also propel us toward an era of AI development that harmonizes technical prowess with deep awareness of its human and societal implications.

Technical and scale efficiency of cassava production system in Delta State, Nigeria: an application of Two-Stage DEA approach

The present study examines the level of pure technical and scale efficiencies of cassava production system including its sub-processes (that is production and processing stages) of 278 cassava farmers/processors from three regions of Delta State, Nigeria by applying Two-Stage Data Envelopment Analysis (DEA) approach. Results reveal that pure technical efficiency (PTE) is significantly lower at the production stage 0.41 vs 0.55 for the processing stage, but scale efficiency (SE) is high at both stages (0.84 and 0.87), implying that productivity can be improved substantially by reallocation of resources and adjusting operation size. The socio-economic determinants exert differential impacts on PTE and SE at each stage. Overall, education, experience and main occupation as farmer significantly improve SE while subsistence pressure reduces it. Extension contact significantly improves SE at the processing stage but reduces PTE and SE overall. Inverse size-PTE and size-SE relationships exist in cassava production system. In other words, large/medium farms are technically and scale inefficient. Gender gap exists in performance. Male farmers are technically efficient at processing stage but scale inefficient overall. Farmers in northern region are technically efficient. Investments in education, extension services and infrastructure are suggested as policy options to improve the cassava sector in Nigeria.

Evaluation of alternative technical markers for the pelvic coordinate system

In this study, we evaluated alternative technical markers for the motion analysis of the pelvic segment. Thirteen subjects walked eight times while tri-dimensional kinematics were recorded for one stride of each trial. Five marker sets were evaluated, and we compared the tilt, obliquity, and rotation angles of the pelvis segment: (1) standard: markers at the anterior and posterior superior iliac spines (ASIS and PSIS); (2) markers at the PSIS and at the hip joint centers, HJCs (estimated by a functional method and described with clusters of markers at the thighs); (3) markers at the PSIS and HJCs (estimated by a predictive method and described with clusters of markers at the thighs); (4) markers at the PSIS and HJCs (estimated by a predictive method and described with skin-mounted markers at the thighs based on the Helen-Hayes marker set); (5) markers at the PSIS and at the iliac spines. Concerning the pelvic angles, evaluation of the alternative technical marker sets evinced that all marker sets demonstrated similar precision across trials (about 1 degrees) but different accuracies (ranging from 1 degrees to 3 degrees) in comparison to the standard marker set. We suggest that all the investigated marker sets are reliable alternatives to the standard pelvic marker set. (C) 2009 Elsevier Ltd. All rights reserved.

A decision support system for selecting sanitation systems in developing countries

Due to the socio-economic inhomogeneity of communities in developing countries, the selection of sanitation systems is a complex task. To assist planners and communities in assessing the suitability of alternatives, the decision support system SANEX™ was developed. SANEX™ evaluates alternatives in two steps. First, Conjunctive Elimination, based on 20 mainly technical criteria, is used to screen feasible alternatives. Subsequently, a model derived from Multiattribute Utility Technique (MAUT) uses technical, socio-cultural and institutional criteria to compare the remaining alternatives with regard to their implementability and sustainability. This paper presents the SANEX™ algorithm, examples of its application in practice, and results obtained from field testing.

Effect of technical parameters on dose and image quality in a computed radiography system

The discovery of X-rays was undoubtedly one of the greatest stimulus for improving the efficiency in the provision of healthcare services. The ability to view, non-invasively, inside the human body has greatly facilitated the work of professionals in diagnosis of diseases. The exclusive focus on image quality (IQ), without understanding how they are obtained, affect negatively the efficiency in diagnostic radiology. The equilibrium between the benefits and the risks are often forgotten. It is necessary to adopt optimization strategies to maximize the benefits (image quality) and minimize risk (dose to the patient) in radiological facilities. In radiology, the implementation of optimization strategies involves an understanding of images acquisition process. When a radiographer adopts a certain value of a parameter (tube potential [kVp], tube current-exposure time product [mAs] or additional filtration), it is essential to know its meaning and impact of their variation in dose and image quality. Without this, any optimization strategy will be a failure. Worldwide, data show that use of x-rays has been increasingly frequent. In Cabo Verde, we note an effort by healthcare institutions (e.g. Ministry of Health) in equipping radiological facilities and the recent installation of a telemedicine system requires purchase of new radiological equipment. In addition, the transition from screen-films to digital systems is characterized by a raise in patient exposure. Given that this transition is slower in less developed countries, as is the case of Cabo Verde, the need to adopt optimization strategies becomes increasingly necessary. This study was conducted as an attempt to answer that need. Although this work is about objective evaluation of image quality, and in medical practice the evaluation is usually subjective (visual evaluation of images by radiographer / radiologist), studies reported a correlation between these two types of evaluation (objective and subjective) [5-7] which accredits for conducting such studies. The purpose of this study is to evaluate the effect of exposure parameters (kVp and mAs) when using additional Cooper (Cu) filtration in dose and image quality in a Computed Radiography system.

Multilayer Perceptron Neural Networks Training Through Charged System Search and its Application for Non-Technical Losses Detection

The non-technical loss is not a problem with trivial solution or regional character and its minimization represents the guarantee of investments in product quality and maintenance of power systems, introduced by a competitive environment after the period of privatization in the national scene. In this paper, we show how to improve the training phase of a neural network-based classifier using a recently proposed meta-heuristic technique called Charged System Search, which is based on the interactions between electrically charged particles. The experiments were carried out in the context of non-technical loss in power distribution systems in a dataset obtained from a Brazilian electrical power company, and have demonstrated the robustness of the proposed technique against with several others natureinspired optimization techniques for training neural networks. Thus, it is possible to improve some applications on Smart Grids.

Municipal solid waste management system: decision support through systems analysis

Thesis submitted to the Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia for the degree of Doctor of Philosophy in Environmental Engineering

Development and implementation of an integrated technical management system

Quality Management, Integrated Technical Management Systems, ITMS, Technical Elements, Environment, Occupational Health and safety, OH&S, Standards, ISO, General Regulations, Integration, Management Functions, Computer Centre, Suc-cess Concepts, Documentation, PCT, QMS, EMS, OH&S-MS, Portioning, Evaluation, Technical Cycle, Technical Compliance, Framework

Investigation of the Modified Beam-in-Slab Bridge System, Technical Report, 2004, Vol. 1

Technical Report