Realidade aumentada e gamificação : desenvolvimento de aumentações num manual escolar de educação musical

Comunicação publicada nas atas do 3º Encontro sobre Jogos e Mobile Learning – EJML 2016, Universidade de Coimbra, 8 de maio de 2016

Statistical classification of road pavements using near field vehicle rolling noise measurements

Low noise surfaces have been increasingly considered as a viable and cost-effective alternative to acoustical barriers. However, road planners and administrators frequently lack information on the correlation between the type of road surface and the resulting noise emission profile. To address this problem, a method to identify and classify different types of road pavements was developed, whereby near field road noise is analyzed using statistical learning methods. The vehicle rolling sound signal near the tires and close to the road surface was acquired by two microphones in a special arrangement which implements the Close-Proximity method. A set of features, characterizing the properties of the road pavement, was extracted from the corresponding sound profiles. A feature selection method was used to automatically select those that are most relevant in predicting the type of pavement, while reducing the computational cost. A set of different types of road pavement segments were tested and the performance of the classifier was evaluated. Results of pavement classification performed during a road journey are presented on a map, together with geographical data. This procedure leads to a considerable improvement in the quality of road pavement noise data, thereby increasing the accuracy of road traffic noise prediction models.

Comparative evaluation of underlying causes of death processed by the Automated Classification of Medical Entities and the Underlying Cause of Death Selection Systems

INTRODUCTION: The correct identification of the underlying cause of death and its precise assignment to a code from the International Classification of Diseases are important issues to achieve accurate and universally comparable mortality statistics These factors, among other ones, led to the development of computer software programs in order to automatically identify the underlying cause of death. OBJECTIVE: This work was conceived to compare the underlying causes of death processed respectively by the Automated Classification of Medical Entities (ACME) and the "Sistema de Seleção de Causa Básica de Morte" (SCB) programs. MATERIAL AND METHOD: The comparative evaluation of the underlying causes of death processed respectively by ACME and SCB systems was performed using the input data file for the ACME system that included deaths which occurred in the State of S. Paulo from June to December 1993, totalling 129,104 records of the corresponding death certificates. The differences between underlying causes selected by ACME and SCB systems verified in the month of June, when considered as SCB errors, were used to correct and improve SCB processing logic and its decision tables. RESULTS: The processing of the underlying causes of death by the ACME and SCB systems resulted in 3,278 differences, that were analysed and ascribed to lack of answer to dialogue boxes during processing, to deaths due to human immunodeficiency virus [HIV] disease for which there was no specific provision in any of the systems, to coding and/or keying errors and to actual problems. The detailed analysis of these latter disclosed that the majority of the underlying causes of death processed by the SCB system were correct and that different interpretations were given to the mortality coding rules by each system, that some particular problems could not be explained with the available documentation and that a smaller proportion of problems were identified as SCB errors. CONCLUSION: These results, disclosing a very low and insignificant number of actual problems, guarantees the use of the version of the SCB system for the Ninth Revision of the International Classification of Diseases and assures the continuity of the work which is being undertaken for the Tenth Revision version.

Conceito de educação musical de Zoltan Kodály e teoria de aprendizagem musical de Edwin Gordon: uma abordagem comparativa

Escrever um artigo que, sem a pretensão de ser exaustivo, apontasse semelhanças no modo de pensar a Educação e a Aprendizagem Musicais de Kodály e Gordon, tornou-se para mim uma necessidade quase compulsiva, depois de frequentar o Seminário promovido pela APEM e ministrado pelo próprio Prof. Gordon nos dias 3 e 4 de Novembro de 1995.

Zoltan Kodály: um novo conceito de formação musical e a sua aplicação nas escolas húngaras

Não se torna fácil descrever em poucas páginas a vida, personalidade e obra de alguém, nem comentar o modo como os seus ideais forma postos em prática enquanto viveu e mais tarde pelos seus discípulos. A tarefa torna-se particularmente difícil quando se escreve sobre alguém como Kodály.

Sobre Kodály e o seu conceito de educação musical: abordagem geral e indicações bibliográficas

Mais do que um artigo sobre Kodály, sobre as suas ideias, sobre os ensinamentos que têm guiado gerações de músicos na Hungria e em muitos outros países, este artigo pretende dar pistas ao leitor que pretenda iniciar ou aprofundar estudos sobre o assunto.

Towards an efficient and robust foot classification from pedobarographic images

O documento em anexo encontra-se na versão post-print (versão corrigida pelo editor).

Integrated vehicle classification system

This paper presents an integrated system for vehicle classification. This system aims to classify vehicles using different approaches: 1) based on the height of the first axle and_the number of axles; 2) based on volumetric measurements and; 3) based on features extracted from the captured image of the vehicle. The system uses a laser sensor for measurements and a set of image analysis algorithms to compute some visual features. By combining different classification methods, it is shown that the system improves its accuracy and robustness, enabling its usage in more difficult environments satisfying the proposed requirements established by the Portuguese motorway contractor BRISA.

O acompanhador musical de dança : como identificar o tempo subjacente à frase de movimento?

Os processos pelos quais o Acompanhador Musical de Dança (AMD) leva a cabo a sua tarefa são, a grande maioria das vezes, de carácter intuitivo, sendo que carece, tanto a nível nacional como internacional, de formação específica e fundamentada. De facto, é de salientar a falta de investigação sistematizada que identifique, de forma objectiva e clara, as estratégias perceptivas, cognitivas e expressivas subjacentes à sua prática. Esta situação repercute-se no estatuto menor, e mesmo subalterno, que este profissional tem no quadro da formação em dança. É no contexto dessa lacuna que esta investigação se inscreve, procurando através da análise de movimento (leitura rítmica corporal), da análise da relação entre frase de movimento e criação musical adequada, bem como através da identificação de estratégias de adaptabilidade, chegar a uma caracterização e fundamentação dessa prática musical.

Data mining techniques to support the classification of MV electricity customers

This paper describes a methodology that was developed for the classification of Medium Voltage (MV) electricity customers. Starting from a sample of data bases, resulting from a monitoring campaign, Data Mining (DM) techniques are used in order to discover a set of a MV consumer typical load profile and, therefore, to extract knowledge regarding to the electric energy consumption patterns. In first stage, it was applied several hierarchical clustering algorithms and compared the clustering performance among them using adequacy measures. In second stage, a classification model was developed in order to allow classifying new consumers in one of the obtained clusters that had resulted from the previously process. Finally, the interpretation of the discovered knowledge are presented and discussed.

A imagem musical do movimento : categorias de análise

Um acompanhador compreende o gesto dançado quando consegue extrair do bailarino imagens que assinalam aspectos do estado do seu corpo. O processo de visualização dum movimento resulta da criação de imagens, que surgem da transformação de um estímulo visual, numa imagem mental. Na perspectiva do nosso corpo, tudo o que está “fora” e tudo o que está “dentro” tem um correlato numa imagem, que pode ser explicada como um conjunto de padrões mentais que estão consistentemente relacionados com alguma coisa. O armazenamento destas imagens na nossa memória permite-nos criar um fluxo de imagens a cada momento do nosso pensamento.

Timing del movimento vs timing musical : visualización transmodal de una frase de movimiento

El acompañante musical de danza (AMD) traduce a sonido secuencias de movimiento, basando su práctica en la observación de las acciones motoras del bailarín. ¿Cómo es que el AMD llega a comprender las calidades motoras en términos musicales? ¿Qué es lo que el AMD identifica a partir de su observación? ¿Cuáles son las diferencias y semejanzas de timing de las representaciones motoras en el planeamiento de una acción cuando se trabaja con estímulos auditivos y visuales en simultáneo? Con el objeto de comenzar a responder algunas de esos interrogantes se diseñó un estudio en el que se indagan diferentes aspectos de la habilidad para sincronizar con la imagen y el sonido de una secuencia de danza de las personas habitualmente involucradas en la realización de este tipo de secuencias (Profesores, Estudiantes Bailarines y AMD).

La perspectiva entonada de la ejecución musical con el movimiento : desajustes en la tríada : acompañante-bailarín-profesor de danza

En este estudio se presenta un modelo de trabajo dentro de una clase de danza, basado en la interacción entre el Acompañante Musical de Danza (AMD), el Bailarín (en su condición de estudiante) y el Profesor de danza. El trabajo tiene un carácter introspectivo y se basa en el análisis crítico de la perspectiva del autor, como sujeto implicado en el proceso de la enseñanza del movimiento, desde la posición de acompañante musical en las clases de técnica de danza. El estudio tiene por marco el trabajo realizado en la Escuela Superior de Danza de Lisboa (ESD). Durante este ensayo nos referiremos al AMD, como aquél que construye, ejecuta y ajusta su performance musical, buscando una correspondencia acentual y de frase, con el movimiento que observa. El problema que abordaremos es el desajuste o ruido en la comunicación que sucede durante las diferentes fases del proceso de aprendizaje y ejecución de la frase de movimiento, entre el AMD, el Bailarín y el Profesor. Será analizada la cuestión de porque los 3 sujetos de este modelo no siempre compatibilizan de manera más adecuada, especulándose que se deba a una serie de problemas o causas en el nivel de la información sensorial y la perspectiva de las interacciones entre ellos. Son propuestas algunas estrategias que (i) optimizan el trabajo del AMD; (ii) hacen posible una mejor comunicación con el alumno; y (iii) permiten ampliar el campo pedagógico al aprendizaje musical del movimiento.

Demand response programs definition supported by clustering and classification techniques

The growing importance and influence of new resources connected to the power systems has caused many changes in their operation. Environmental policies and several well know advantages have been made renewable based energy resources largely disseminated. These resources, including Distributed Generation (DG), are being connected to lower voltage levels where Demand Response (DR) must be considered too. These changes increase the complexity of the system operation due to both new operational constraints and amounts of data to be processed. Virtual Power Players (VPP) are entities able to manage these resources. Addressing these issues, this paper proposes a methodology to support VPP actions when these act as a Curtailment Service Provider (CSP) that provides DR capacity to a DR program declared by the Independent System Operator (ISO) or by the VPP itself. The amount of DR capacity that the CSP can assure is determined using data mining techniques applied to a database which is obtained for a large set of operation scenarios. The paper includes a case study based on 27,000 scenarios considering a diversity of distributed resources in a 33 bus distribution network.

A multidimensional scaling analysis of musical sounds based on pseudo phase plane

This paper studies musical opus from the point of view of three mathematical tools: entropy, pseudo phase plane (PPP), and multidimensional scaling (MDS). The experiments analyze ten sets of different musical styles. First, for each musical composition, the PPP is produced using the time series lags captured by the average mutual information. Second, to unravel hidden relationships between the musical styles the MDS technique is used. The MDS is calculated based on two alternative metrics obtained from the PPP, namely, the average mutual information and the fractal dimension. The results reveal significant differences in the musical styles, demonstrating the feasibility of the proposed strategy and motivating further developments towards a dynamical analysis of musical sounds.