10 resultados para due process
em CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal
Resumo:
Recently, regulating mechanisms of branching morphogenesis of fetal lung rat explants have been an essential tool for molecular research. The development of accurate and reliable segmentation techniques may be essential to improve research outcomes. This work presents an image processing method to measure the perimeter and area of lung branches on fetal rat explants. The algorithm starts by reducing the noise corrupting the image with a pre-processing stage. The outcome is input to a watershed operation that automatically segments the image into primitive regions. Then, an image pixel is selected within the lung explant epithelial, allowing a region growing between neighbouring watershed regions. This growing process is controlled by a statistical distribution of each region. When compared with manual segmentation, the results show the same tendency for lung development. High similarities were harder to obtain in the last two days of culture, due to the increased number of peripheral airway buds and complexity of lung architecture. However, using semiautomatic measurements, the standard deviation was lower and the results between independent researchers were more coherent
Resumo:
Within the development of motor vehicles, crash safety (e.g. occupant protection, pedestrian protection, low speed damageability), is one of the most important attributes. In order to be able to fulfill the increased requirements in the framework of shorter cycle times and rising pressure to reduce costs, car manufacturers keep intensifying the use of virtual development tools such as those in the domain of Computer Aided Engineering (CAE). For crash simulations, the explicit finite element method (FEM) is applied. The accuracy of the simulation process is highly dependent on the accuracy of the simulation model, including the midplane mesh. One of the roughest approximations typically made is the actual part thickness which, in reality, can vary locally. However, almost always a constant thickness value is defined throughout the entire part due to complexity reasons. On the other hand, for precise fracture analysis within FEM, the correct thickness consideration is one key enabler. Thus, availability of per element thickness information, which does not exist explicitly in the FEM model, can significantly contribute to an improved crash simulation quality, especially regarding fracture prediction. Even though the thickness is not explicitly available from the FEM model, it can be inferred from the original CAD geometric model through geometric calculations. This paper proposes and compares two thickness estimation algorithms based on ray tracing and nearest neighbour 3D range searches. A systematic quantitative analysis of the accuracy of both algorithms is presented, as well as a thorough identification of particular geometric arrangements under which their accuracy can be compared. These results enable the identification of each technique’s weaknesses and hint towards a new, integrated, approach to the problem that linearly combines the estimates produced by each algorithm.
Resumo:
Poly(vinylidene fluoride)/Pb(Zr0.53Ti0.47)O3,([PVDF]1−x/[PZT]x) composites of volume fractions x and (0–3) type connectivity were prepared in the form of thin films. PZT powders with average grain sizes of 0.2, 0.84, and 2.35 μm in different volume fraction of PZT up to 40 % were mixed with the polymeric matrix. The influence of the inorganic particle size and its content on the thermal degradation properties of the composites was then investigated by means of thermo-gravimetric analysis. It is observed that filler size affects more than filler concentration the degradation temperature and activation energy of the polymer. In the same way and due to their larger specific area, smaller particles leave larger solid residuals after the polymer degradation. The polymer degradation mechanism is not significantly modified by the presence of the inorganic fillers. On the other hand, an inhibition effect occurs due to the presence of the fillers, affecting particularly the activation energy of the process.
Resumo:
The work presented herein follows an ongoing research that aims to analyze methodological practices to be applied in Design Education. A reflection about methodological strategies in Design Education and the function of drawing in Design represents the beginning of this study. Then, we developed an interdisciplinary pedagogical experience with the Graphic Design 1st grade students from our institution (IPCA). In the current academic year, 2013/2014, we continue to evolve this project, introducing changes in the initial proposal. Major alterations focused on the aspects that could be strengthened in terms of interdisciplinarity. In this article, the authors describe those changes and discuss the outcomes of the novel proposal. As we have already reported, this investigation follows a reflection about working methods to be adopted in Design Education. This is in accordance with other previously published works that purpose the enlargement of Design into new knowledge fields such as Experience or Service Design, changing not only the role of the graphic designer, but also the skills required to be a professional designer (Alain Findelli, 2001), (Brian Lawson, 2006), (Ciampa-Brewer, 2010). Furthermore, concepts such as cooperation or multidisciplinary design, amongst others, have been frequently debated as design teaching strategies (Heller and Talarico, 2011, pp. 82-85). These educational approaches also have an impact on our research. The analysis of all these authors’ contributions together with a reflection on our teaching practice allowed us to propose an improved interdisciplinary intervention.
Resumo:
The entrepreneurship and innovation have been gradually gaining ground in the academic community as a field of study. However, the interpretations surrounding fragmented, without a univocal definition. In last decades, tourism has received greater attention from researchers in various sciences, varying only by the different emphases considered: economic, social, cultural and environmental. As other emerging sectors in a modern economy, tourism is a dynamic and ever-changing industry. The study has as purpose to provide a better understanding regarding the essence of entrepreneurship: theoretical and practical implications from the perspective of tourism. Regarding the methodology used here, this is a conceptual paper with a literature review that brings together the major components of entrepreneurship and its implications tourist perspective and conceptual model of the dynamic nature of the Triggering Process and innovation (e.g. iTravey, Interactive Stores, Tourist Transportable Tower).
Resumo:
Recently, regulating mechanisms of branching morphogenesis of fetal lung rat explants have been an essential tool for molecular research. The development of accurate and reliable segmentation techniques may be essential to improve research outcomes. This work presents an image processing method to measure the perimeter and area of lung branches on fetal rat explants. The algorithm starts by reducing the noise corrupting the image with a pre-processing stage. The outcome is input to a watershed operation that automatically segments the image into primitive regions. Then, an image pixel is selected within the lung explant epithelial, allowing a region growing between neighbouring watershed regions. This growing process is controlled by a statistical distribution of each region. When compared with manual segmentation, the results show the same tendency for lung development. High similarities were harder to obtain in the last two days of culture, due to the increased number of peripheral airway buds and complexity of lung architecture. However, using semiautomatic measurements, the standard deviation was lower and the results between independent researchers were more coherent.
Resumo:
This paper investigates the reform of public accounting in Portugal through the IPSAS adoption highlighting the perception of different stakeholders. Two competing theories (NPM and the institutional theory) are used to understand public accounting changes within the Portuguese context. In general, different stakeholders agree with the favorable moment and the context of the reform. The context of financial crises and the great external pressures to cut public deficits and to improve the quality of financial information seem to be the most important factors to stimulate changes in public accounting. In addition, stakeholders recommend the use of different strategies to ensure success.
Resumo:
The present study envisages to analyse and perceive change within the Portuguese local governments’ accounting information system. This change has occurred in recent years due to the development of the Cost Accounting System (CAS). Are there divergences between those that adopted and those that did not the CAS? As of today, to what extent is the CAS implemented? What factors do determine the level of development of the CAS amongst Portuguese local governments? This study has analysed several factors like the current legal framework, the local governments’ size, the financial independence and the level of political competitiveness. The empirical analysis focus upon the results as obtained by means of questionnaire which was applied to all the Portuguese Local Government (308). Although one may consider that its development is rather shallow, evidence unfolds that about 48% of the respondents have already adopted the CAS. It highlights that the pressure exerted by the current legal framework, namely the POCAL (Plano Oficial de Contabilidade das Autarquias Locais – Local Government Accounting Official Plan), the NLFL (Nova Lei das Finanças Locais – Local Finances New Law) and the RGTAL (Regime Geral de Taxas das Autarquias Locais – Local Government General Regime of Taxes), justifies that most of the local governments has adopted the new system of control and accounting information in recent years.The importance of information stemming from the CAS, thus bettering and refining the decision making process, is consistent with the positive evolution of this system, in the short-run. The institutions’ size as well as the level of financial independence and political competitiveness may also be pondered as most significant variables within this empirical analysis.
Resumo:
New Public Management (NPM) led to great pressures for to introduce and adapt businesslike accounting in the public sector (Hood, 1995; Lapsley, 2008; Lapsley et al., 2009), specially the transition from cash basis to accrual-based accounting. In consequence, since the last 20 years we assist to a movement towards internationally standardized of public sector accounting that led to the publication of 32 International Public Sector Accounting Standards (IPSAS) for all public sector entities from national central governments to local governments (IFAC, 2008). These standards are accrual-basis and they emphasize the balance sheet approach, the fair value measurement and the revenue-expense approach (Hints, 2007). The main innovations are associated with the use of the balance sheet approach and the fair value measurement because, traditionally, public accounting systems are mainly focused on the revenue-expense approach and on historical cost valuation (Oulasvirta, 2014).
Resumo:
Dental implant recognition in patients without available records is a time-consuming and not straightforward task. The traditional method is a complete user-dependent process, where the expert compares a 2D X-ray image of the dental implant with a generic database. Due to the high number of implants available and the similarity between them, automatic/semi-automatic frameworks to aide implant model detection are essential. In this study, a novel computer-aided framework for dental implant recognition is suggested. The proposed method relies on image processing concepts, namely: (i) a segmentation strategy for semi-automatic implant delineation; and (ii) a machine learning approach for implant model recognition. Although the segmentation technique is the main focus of the current study, preliminary details of the machine learning approach are also reported. Two different scenarios are used to validate the framework: (1) comparison of the semi-automatic contours against implant’s manual contours of 125 X-ray images; and (2) classification of 11 known implants using a large reference database of 601 implants. Regarding experiment 1, 0.97±0.01, 2.24±0.85 pixels and 11.12±6 pixels of dice metric, mean absolute distance and Hausdorff distance were obtained, respectively. In experiment 2, 91% of the implants were successfully recognized while reducing the reference database to 5% of its original size. Overall, the segmentation technique achieved accurate implant contours. Although the preliminary classification results prove the concept of the current work, more features and an extended database should be used in a future work.