Ensemble: an e-learning framework

E-Learning frameworks are conceptual tools to organize networks of elearning services. Most frameworks cover areas that go beyond the scope of e-learning, from course to financial management, and neglects the typical activities in everyday life of teachers and students at schools such as the creation, delivery, resolution and evaluation of assignments. This paper presents the Ensemble framework - an e-learning framework exclusively focused on the teaching-learning process through the coordination of pedagogical services. The framework presents an abstract data, integration and evaluation model based on content and communications specifications. These specifications must base the implementation of networks in specialized domains with complex evaluations. In this paper we specialize the framework for two domains with complex evaluation: computer programming and computer-aided design (CAD). For each domain we highlight two Ensemble hotspots: data and evaluations procedures. In the former we formally describe the exercise and present possible extensions. In the latter, we describe the automatic evaluation procedures.

O jazz e a música do mediterrâneo: modos e ritmos de influência árabe num contexto de escrita para Large Ensemble

Dissertação para obtenção do grau de Mestre em Música - Interpretação Artística

Ensemble: an innovative approach to practice computer programming

Currently, the teaching-learning process in domains, such as computer programming, is characterized by an extensive curricula and a high enrolment of students. This poses a great workload for faculty and teaching assistants responsible for the creation, delivery, and assessment of student exercises. The main goal of this chapter is to foster practice-based learning in complex domains. This objective is attained with an e-learning framework—called Ensemble—as a conceptual tool to organize and facilitate technical interoperability among services. The Ensemble framework is used on a specific domain: computer programming. Content issues are tacked with a standard format to describe programming exercises as learning objects. Communication is achieved with the extension of existing specifications for the interoperation with several systems typically found in an e-learning environment. In order to evaluate the acceptability of the proposed solution, an Ensemble instance was validated on a classroom experiment with encouraging results.

Definition of MV Load Diagrams via Weighted Evidence Accumulation Clustering using Subsampling

A definition of medium voltage (MV) load diagrams was made, based on the data base knowledge discovery process. Clustering techniques were used as support for the agents of the electric power retail markets to obtain specific knowledge of their customers’ consumption habits. Each customer class resulting from the clustering operation is represented by its load diagram. The Two-step clustering algorithm and the WEACS approach based on evidence accumulation (EAC) were applied to an electricity consumption data from a utility client’s database in order to form the customer’s classes and to find a set of representative consumption patterns. The WEACS approach is a clustering ensemble combination approach that uses subsampling and that weights differently the partitions in the co-association matrix. As a complementary step to the WEACS approach, all the final data partitions produced by the different variations of the method are combined and the Ward Link algorithm is used to obtain the final data partition. Experiment results showed that WEACS approach led to better accuracy than many other clustering approaches. In this paper the WEACS approach separates better the customer’s population than Two-step clustering algorithm.

Determination of electricity consumers’ load profiles via weighted evidence accumulation clustering using subsampling

With the electricity market liberalization, the distribution and retail companies are looking for better market strategies based on adequate information upon the consumption patterns of its electricity consumers. A fair insight on the consumers’ behavior will permit the definition of specific contract aspects based on the different consumption patterns. In order to form the different consumers’ classes, and find a set of representative consumption patterns we use electricity consumption data from a utility client’s database and two approaches: Two-step clustering algorithm and the WEACS approach based on evidence accumulation (EAC) for combining partitions in a clustering ensemble. While EAC uses a voting mechanism to produce a co-association matrix based on the pairwise associations obtained from N partitions and where each partition has equal weight in the combination process, the WEACS approach uses subsampling and weights differently the partitions. As a complementary step to the WEACS approach, we combine the partitions obtained in the WEACS approach with the ALL clustering ensemble construction method and we use the Ward Link algorithm to obtain the final data partition. The characterization of the obtained consumers’ clusters was performed using the C5.0 classification algorithm. Experiment results showed that the WEACS approach leads to better results than many other clustering approaches.

Data mining contributions to characterize MV consumers and to improve the suppliers-consumers settlements

This paper deals with the establishment of a characterization methodology of electric power profiles of medium voltage (MV) consumers. The characterization is supported on the data base knowledge discovery process (KDD). Data Mining techniques are used with the purpose of obtaining typical load profiles of MV customers and specific knowledge of their customers’ consumption habits. In order to form the different customers’ classes and to find a set of representative consumption patterns, a hierarchical clustering algorithm and a clustering ensemble combination approach (WEACS) are used. Taking into account the typical consumption profile of the class to which the customers belong, new tariff options were defined and new energy coefficients prices were proposed. Finally, and with the results obtained, the consequences that these will have in the interaction between customer and electric power suppliers are analyzed.

Agrupamento de dados com restrições

Mestrado em Engenharia Informática

Electroanalysis of urinary L-dopa using tyrosinase immobilized on gold nanoelectrode ensembles

The performance of an amperometric biosensor constructed by associating tyrosinase (Tyr) enzyme with the advantages of a 3D gold nanoelectrode ensemble (GNEE) is evaluated in a flow-injection analysis (FIA) system for the analysis of l-dopa. GNEEs were fabricated by electroless deposition of the metal within the pores of polycarbonate track-etched membranes. A simple solvent etching procedure based on the solubility of polycarbonate membranes is adopted for the fabrication of the 3D GNEE. Afterward, enzyme was immobilized onto preformed self-assembled monolayers of cysteamine on the 3D GNEEs (GNEE-Tyr) via cross-linking with glutaraldehyde. The experimental conditions of the FIA system, such as the detection potential (−0.200 V vs. Ag/AgCl) and flow rates (1.0 mL min−1) were optimized. Analytical responses for l-dopa were obtained in a wide concentration range between 1 × 10−8 mol L−1 and 1 × 10−2 mol L−1. The limit of quantification was found to be 1 × 10−8 mol L−1 with a resultant % RSD of 7.23% (n = 5). The limit of detection was found to be 1 × 10−9 mol L−1 (S/N = 3). The common interfering compounds, namely glucose (10 mmol L−1), ascorbic acid (10 mmol L−1), and urea (10 mmol L−1), were studied. The recovery of l-dopa (1 × 10−7 mol L−1) from spiked urine samples was found to be 96%. Therefore, the developed method is adequate to be applied in the clinical analysis.

Molecular imprinted nanoelectrodes for ultra sensitive detection of ovarian cancer marker

The relentless discovery of cancer biomarkers demands improved methods for their detection. In this work, we developed protein imprinted polymer on three-dimensional gold nanoelectrode ensemble (GNEE) to detect epithelial ovarian cancer antigen-125 (CA 125), a protein biomarker associated with ovarian cancer. CA 125 is the standard tumor marker used to follow women during or after treatment for epithelial ovarian cancer. The template protein CA 125 was initially incorporated into the thin-film coating and, upon extraction of protein from the accessible surfaces on the thin film, imprints for CA 125 were formed. The fabrication and analysis of the CA 125 imprinted GNEE was done by using cyclic voltammetry (CV), differential pulse voltammetry (DPV) and electrochemical impedance spectroscopy (EIS) techniques. The surfaces of the very thin, protein imprinted sites on GNEE are utilized for immunospecific capture of CA 125 molecules, and the mass of bound on the electrode surface can be detected as a reduction in the faradic current from the redox marker. Under optimal conditions, the developed sensor showed good increments at the studied concentration range of 0.5–400 U mL−1. The lowest detection limit was found to be 0.5 U mL−1. Spiked human blood serum and unknown real serum samples were analyzed. The presence of non-specific proteins in the serum did not significantly affect the sensitivity of our assay. Molecular imprinting using synthetic polymers and nanomaterials provides an alternative approach to the trace detection of biomarker proteins.

Ultrasensitive detection of ovarian cancer marker using immunoliposomes and gold nanoelectrodes

Mucin-16 (MUC16) is the established ovarian cancer marker used to follow the disease during or after treatment for epithelial ovarian cancer. The emerging science of cancer markers also demands for the new sensitive detection methods. In this work, we have developed an electrochemical immunosensor for antigen MUC16 using gold nanoelectrode ensemble (GNEE) and ferrocene carboxylic acid encapsulated liposomes tethered with monoclonal anti-Mucin-16 antibodies ( MUC16). GNEEs were fabricated by electroless deposition of the gold within the pores of polycarbonate track-etched membranes. Afterwards, MUC16 were immobilized on preformed self-assembled monolayer of cysteamine on the GNEE via cross-linking with EDC-Sulfo-NHS. A sandwich immunoassay was performed on MUC16 functionalized GNEE with MUC16 and immunoliposomes. The differential pulse voltammetry was employed to quantify the faradic redox response of ferrocene carboxylic acid released from immunoliposomes. The dose–response curve for MUC16 concentration was found between the range of 0.001–300 U mL−1. The lowest detection limit was found to be 5 × 10−4 U mL−1 (S/N = 3). We evaluated the performance of this developed immunosensor with commercial ELISA assay by comparing results obtained from spiked serum samples and real blood serum samples from volunteers.

A propósito de um disco

Este trabalho destina-se às provas para obtenção do Estatuto de Especialista na Escola Superior de Música, Artes e Espectáculo do Instituto Politécnico do Porto. Com ele pretendo abordar a música portuguesa para clarinete e electrónica, com a qual gravei o meu último disco que acaba de ser editado pela Miso Records. O propósito não é falar apenas sobre o disco em si mas, sobretudo, da música que lhe dá corpo. Descrever um pouco esta música, que envolve um instrumento com 300 anos, que é o clarinete, e uma tecnologia que evolui todos os dias, centrado nos seus aspectos performativos. Este disco acabou por ser uma consequência de um processo que é, fundamentalmente, de performance e de tudo o que a precede e envolve. É isso que tentarei explorar aqui. Há mais de 10 anos que tinha o objectivo de explorar, enquanto intérprete, o repertório para clarinete solo e electrónica. No entanto, esse desejo foi sendo sucessivamente adiado por diversas razões que se prendem fundamentalmente com a especificidade de um projeto desta natureza e com as necessidades de vária ordem que exige. As condições para a realização desse projeto pessoal começaram a criar-se em 2007, com o aparecimento do Sond’Ar-te Electric Ensemble e com a minha integração nesse grupo. Sendo um agrupamento criado no seio da Miso Music Portugal com o propósito de fazer fundamentalmente música mista, estava encontrado o parceiro ideal para que pudesse fazer música para clarinete e electrónica com regularidade. Por se tratar de uma instituição que privilegia sobretudo a criação e divulgação da música e dos músicos portugueses, o repertório a trabalhar começou por ser, naturalmente, o de compositores portugueses que já tivessem obras ou que estivessem a compor para clarinete e electrónica. Com a realização de vários concertos, bem como a estreia e rodagem de algumas obras, em 2009 decidimos fazer a gravação de 6 dessas obras para posterior edição em disco. Essa gravação, realizada em Dezembro de 2009, acaba de ser editado pela Miso Records e são essas obras que decidi explorar neste trabalho. Escolhi este repertório por várias razões, sendo as mais importantes o conhecimento das obras e da sua história enquanto intérprete, tendo mesmo estado envolvido em algumas delas desde o seu início, e a proximidade pessoal e musical que mantenho com os compositores. Para este trabalho procurei fazer uma resenha da história das obras e explorar dois aspectos que me parecem pertinentes neste tipo de repertório: por um lado, a relação que é absolutamente necessária entre intérprete e compositor para a criação desta música e por outro, um novo paradigma que surge, naturalmente, da relação dos compositores com o público, pelo seu envolvimento direto com o som que é produzido. Para isso, para além da experiência pessoal, contei com o envolvimento dos compositores na resposta a um questionário que lhes enviei. Esse questionário foi elaborado com o objectivo de explorar dois aspectos: as diferenças entre a electrónica em tempo real e em tempo diferido e também o do papel dos intérpretes na motivação para a composição e como catalisadores e fontes de informação técnica para o trabalho dos compositores. Começarei por abordar a música mista, na sua envolvente performativa. Antes de mais, importa delimitar conceitos e compreender o que é este tipo de música. Poderemos, neste caso concreto, considerar a música que foi, e continua a ser, composta para clarinete e electrónica. No entanto, entendo por música mista toda a música que relaciona a electrónica com instrumentos ditos acústicos. Embora reconhecendo que esta é uma forma um pouco ambígua de definir o conceito, será porventura a que se explicará por poucas palavras e de uma forma simples. Digo ambígua porque se considerarmos que a música electrónica, para ser escutada, tem de passar por processos acústicos de difusão, teríamos aqui um problema para definir o que é e o que não é acústico. Consideremos então os instrumentos tradicionais, sem qualquer processo eléctrico ou electrónico na sua origem sonora, como acústicos, ainda que para efeitos de difusão conjunta com a electrónica sejam, em muitos casos, amplificados e/ou equalizados de forma a poder obter-se uma interpretação coesa e optimizar-se uma sonoridade conjunta. Neste caso, que é o da música mista para clarinete de compositores portugueses, começaria por abordar os aspectos performativos dividindo-os em duas classes importantes que se prendem com a forma como a electrónica é apresentada: em tempo real ou em tempo diferido. Se a música com electrónica em tempo real depende do sinal emitido pelo instrumento, e a partir daí a electrónica é processada e gerada através de programas como Max/MSP, o mais utilizado hoje em dia, a música electrónica em tempo diferido está toda predefinida à partida e é apresentada em suporte físico, sob a forma de um ou vários ficheiros áudio que são difundidos ao longo da performance. Há também quem utilize os dois processos de forma concorrente e complementar na mesma obra.

Interactive light and sound table: an EPS@ISEP project

Interactive products are appealing objects in a technology-driven society and the offer in the market is wide and varied. Most of the existing interactive products only provide either light or sound experiences. Therefore, the goal of this project was to develop a product aimed for children combining both features. This project was developed by a team of four thirdyear students with different engineering backgrounds and nationalities during the European Project Semester at ISEP (EPS@ISEP) in 2012. This paper presents the process that led to the development of an interactive sound table that combines nine identical interaction blocks, a control block and a sound block. Each interaction block works independently and is composed of four light emitting diodes (LED) and one infrared (IR) sensor. The control is performed by an Arduino microcontroller and the sound block includes a music shield and a pair of loud speakers. A number of tests were carried out to assess whether the controller, IR sensors, LED, music shield and speakers work together properly and if the ensemble was a viable interactive light and sound device for children.

Processo de Bolonha e mudanças na educação superior: um estudo no Ensino Superior Politécnico português

Tese de Doutoramento

Seqins: a sequencing tool for educational resources

The teaching-learning process is increasingly focused on the combination of the paradigms “learning by viewing” and “learning by doing.” In this context, educational resources, either expository or evaluative, play a pivotal role. Both types of resources are interdependent and their sequencing would create a richer educational experience to the end user. However, there is a lack of tools that support sequencing essentially due to the fact that existing specifications are complex. The Seqins is a sequencing tool of digital resources that has a fairly simple sequencing model. The tool communicates through the IMS LTI specification with a plethora of e-learning systems such as learning management systems, repositories, authoring and evaluation systems. In order to validate Seqins we integrate it in an e-learning Ensemble framework instance for the computer programming learning.

Sequencing educational resources with Seqins

Existing adaptive educational hypermedia systems have been using learning resources sequencing approaches in order to enrich the learning experience. In this context, educational resources, either expository or evaluative, play a central role. However, there is a lack of tools that support sequencing essentially due to the fact that existing specifications are complex. This paper presents Seqins as a sequencing tool of digital educational resources. Seqins includes a simple and flexible sequencing model that will foster heterogeneous students to learn at different rhythms. The tool communicates through the IMS Learning Tools Interoperability specification with a plethora of e-learning systems such as learning management systems, repositories, authoring and automatic evaluation systems. In order to validate Seqins we integrate it in an e-learning Ensemble framework instance for the computer programming learning domain.