O lugar da educação patrimonial no currículo escolar

Esta dissertação pretende contribuir no âmbito da gestão e valorização do Património Histórico-Cultural, para o estabelecimento de uma estratégia de valorização e enriquecimento dos currículos escolares portugueses do Ensino Básico, como forma de divulgar, preservar e educar para o Património de um país. Neste contexto emergiu um design de investigação que se afigura pertinente e centrado na prática docente ao fazer um estudo de caso, baseado na opinião recolhida junto dos alunos do 1º ciclo do ensino básico de um agrupamento de escolas sobre a noção que os mesmos têm de Património. A compreensão e valorização da Educação Patrimonial num processo contínuo de descoberta e aprendizagem são tarefas que só a "Escola" pode fazer, formando os indivíduos tomando-os competentes nesta área do conhecimento. Os objectos patrimoniais, monumentos, sítios e centros históricos, ou o património imaterial e natural, são recursos educacionais importantes, permitem a aquisição de competências motivacionais, para qualquer área do currículo ou aproximam áreas aparentemente distantes no processo de ensino e cidadania. ABSTRACT: This thesis aims to contribute in the management and enhancement of Cultural - Heritage for the establishment of a strategy for recovery and enrichment of school curricula elementary Portuguese as a means to educate, preserve and disclose to the heritage of a country. ln this context emerged a research design that seem relevant and focused on teaching to make a case study, based on the feedback gathered from pupils of 1 primary school, a grouping of schools on the notion that their balance sheets. Understanding and appreciation of Heritage Education in a continuous process of discovery and learning are tasks that only the “School” can do, forming the individuals making them competent in this field of knowledge. Heritage objects, monuments, sites and historical centres, or intangible and natural heritage, are important educational resources, enable the motivational skills acquisition, to any area of the curriculum or assemble seemingly distant areas in education and citizenship.

Improving Bangla ocr output through correction algorithms

Bangla OCR (Optical Character Recognition) is a long deserving software for Bengali community all over the world. Numerous e efforts suggest that due to the inherent complex nature of Bangla alphabet and its word formation process development of high fidelity OCR producing a reasonably acceptable output still remains a challenge. One possible way of improvement is by using post processing of OCR’s output; algorithms such as Edit Distance and the use of n-grams statistical information have been used to rectify misspelled words in language processing. This work presents the first known approach to use these algorithms to replace misrecognized words produced by Bangla OCR. The assessment is made on a set of fifty documents written in Bangla script and uses a dictionary of 541,167 words. The proposed correction model can correct several words lowering the recognition error rate by 2.87% and 3.18% for the character based n- gram and edit distance algorithms respectively. The developed system suggests a list of 5 (five) alternatives for a misspelled word. It is found that in 33.82% cases, the correct word is the topmost suggestion of 5 words list for n-gram algorithm while using Edit distance algorithm the first word in the suggestion properly matches 36.31% of the cases. This work will ignite rooms of thoughts for possible improvements in character recognition endeavour.

Experiments on identification of argumentative sentences

The main purpose of this study is to evaluate the best set of features that automatically enables the identification of argumentative sentences from unstructured text. As corpus, we use case laws from the European Court of Human Rights (ECHR). Three kinds of experiments are conducted: Basic Experiments, Multi Feature Experiments and Tree Kernel Experiments. These experiments are basically categorized according to the type of features available in the corpus. The features are extracted from the corpus and Support Vector Machine (SVM) and Random Forest are the used as Machine learning algorithms. We achieved F1 score of 0.705 for identifying the argumentative sentences which is quite promising result and can be used as the basis for a general argument-mining framework.

Sensitivity analysis of parameters of a photovoltaic cell under different condition

A photovoltaic cell is a component which converts light energy into electrical energy. Different environmental parameters and internal parameters have a great impact on the output of the photovoltaic cell. To identify its characteristics and estimate the output, the well known Shockley diode equation is used. This equation contains all the parameters, as one environmental and different internal. The properties of these parameters were studied and their sensitivity have been analyzed through the use of an error function; this error function allows the study of the behaviour of the parameters and their characteristics against the output of the photovoltaic cell through the analysis of its curves giving the sensitivity of the different parameters to the output of the photovoltaic cell. Using these results the impact of the parameters of the photovoltaic cell has been clearly identified. White noise is included both with the ideal values and the simulation and the ideal value is imposed to get the real time environment flavor. This work analyses both systems with and without white noise.