Optimized Decoding for Auditory Attention Detection

Thesis (Master's)--University of Washington, 2016-06

The journey towards cultural competence: first interventions

Graduates worldwide are increasingly entering a global workplace which will require them to operate across national and cultural boundaries. This paper discusses the need to ensure that all students are equipped to work within this increasingly complex multi-cultural environment. It examines the issues which occur in preparing students within a UK Higher Education environment so that they are able to operate effectively within the international work situations in which they find themselves. This research builds on earlier research, which found that the effectiveness of an individual to work across cultural boundaries, in terms of work and communication, was increased by the number of international or intercultural experiences that a person has. Using this as a premise, an intervention was designed which aimed to increase students’ awareness of intercultural differences and their ability to function effectively in multicultural groups. This paper analyses the effectiveness of this highly innovative training intervention. It concludes that it was an effective way of making students aware of some of the issues around cultural competence is groups. In fact, the training was seen as most effective by students in addressing issues round group dynamics. The training obviously changed the outlook of a number students who took part it. There are, however, a number of issues which need to be addressed the re-running the training. These are notably, at what time in a student’s academic career such intervention is given, its integration into the curriculum and managing of student expectations.

A conceptual framework of knowledge integration in multisourcing arrangements

As organizations are increasingly outsourcing interdependent IT and business services to multiple vendors, the issue of knowledge integration between client and multiple vendors is becoming of high relevance today. This paper explores the antecedents and mechanisms which facilitate the success of knowledge integration across multiple stakeholders in multisourcing and the outcomes of successful knowledge integration in this context. The paper develops a conceptual framework of knowledge integration in the multisourcing arrangements, based on a detailed review of current literature on knowledge integration and applying it to the multi-vendor environment. This paper concludes by calling for further empirical study to examine the integrative framework of the key antecedents, mechanisms and consequences of knowledge integration in the multisourcing arrangements.

A Cognitive Science Reasoning in Recognition of Emotions in Audio-Visual Speech

In this report we summarize the state-of-the-art of speech emotion recognition from the signal processing point of view. On the bases of multi-corporal experiments with machine-learning classifiers, the observation is made that existing approaches for supervised machine learning lead to database dependent classifiers which can not be applied for multi-language speech emotion recognition without additional training because they discriminate the emotion classes following the used training language. As there are experimental results showing that Humans can perform language independent categorisation, we made a parallel between machine recognition and the cognitive process and tried to discover the sources of these divergent results. The analysis suggests that the main difference is that the speech perception allows extraction of language independent features although language dependent features are incorporated in all levels of the speech signal and play as a strong discriminative function in human perception. Based on several results in related domains, we have suggested that in addition, the cognitive process of emotion-recognition is based on categorisation, assisted by some hierarchical structure of the emotional categories, existing in the cognitive space of all humans. We propose a strategy for developing language independent machine emotion recognition, related to the identification of language independent speech features and the use of additional information from visual (expression) features.

How to Use a Desktop Version of a DBMS for Client-Server Applications

DBMS (Data base management systems) still have a very high price for small and middle enterprises in Bulgaria. Desktop versions are free but they cannot function in multi-user environment. We will try to make an application server which will make a Desktop version of a DBMS open to many users. Thus, this approach will be appropriate for client-server applications. The author of the article gives a concise observation of the problem and a possible way of solution.

Exploring image databases at the tip of your fingers

Visual information is becoming increasingly important and tools to manage repositories of media collections are highly sought after. In this paper, we focus on image databases and on how to effectively and efficiently access these. In particular, we present effective image browsing systems that are operated on a large multi-touch environment for truly interactive exploration. Not only do image browsers pose a useful alternative to retrieval-based systems, they also provide a visualisation of the whole image collection and let users explore particular parts of the collection. Our systems are based on the idea that visually similar images are located close to each other in the visualisation, that image thumbnails are arranged on a regular lattice (either a regular grid projected on a sphere or a hexagonal lattice), and that large image datasets can be accessed through a hierarchical tree structure. © 2014 International Information Institute.

Digital Libraries as a Social Media

This paper presents an innovative approach for enhancing digital libraries functionalities. An innovative distributed architecture involving digital libraries for effective and efficient knowledge sharing was developed. In the frame of this architecture semantic services were implemented, offering multi language and multi culture support, adaptability and knowledge resources recommendation, based on the use of ontologies, metadata and user modeling. New methods for teacher education using digital libraries and knowledge sharing were developed. These new methods were successfully applied in more than 15 pilot experiments in seven European countries, with more than 3000 teachers trained.

Truly interactive approaches to browsing image databases

Image collections are ever growing and hence efficient and effective tools to manage these repositories are highly sought after. In this paper, we present effective image browsing systems that are operated on a large multi-touch environment for truly interactive exploration. Not only do image browsers pose a useful alternative to retrieval-based systems, they also provide a visualisation of the whole image collection and allow users to interactively explore particular parts of the collection. Our systems are based on the idea that visually similar images are located close to each other in the visualisation, that image thumbnails are arranged on a regular lattice (either a regular grid projected onto a sphere or a hexagonal lattice), and that large image datasets can be accessed through a hierarchical tree structure. A pilot study has shown that the presented systems do indeed work well and are preferred compared to conventional image browsers. © 2011 IEEE.

Physics-based modeling of power system components for the evaluation of low-frequency radiated electromagnetic fields

The low-frequency electromagnetic compatibility (EMC) is an increasingly important aspect in the design of practical systems to ensure the functional safety and reliability of complex products. The opportunities for using numerical techniques to predict and analyze system's EMC are therefore of considerable interest in many industries. As the first phase of study, a proper model, including all the details of the component, was required. Therefore, the advances in EMC modeling were studied with classifying analytical and numerical models. The selected model was finite element (FE) modeling, coupled with the distributed network method, to generate the model of the converter's components and obtain the frequency behavioral model of the converter. The method has the ability to reveal the behavior of parasitic elements and higher resonances, which have critical impacts in studying EMI problems. For the EMC and signature studies of the machine drives, the equivalent source modeling was studied. Considering the details of the multi-machine environment, including actual models, some innovation in equivalent source modeling was performed to decrease the simulation time dramatically. Several models were designed in this study and the voltage current cube model and wire model have the best result. The GA-based PSO method is used as the optimization process. Superposition and suppression of the fields in coupling the components were also studied and verified. The simulation time of the equivalent model is 80-100 times lower than the detailed model. All tests were verified experimentally. As the application of EMC and signature study, the fault diagnosis and condition monitoring of an induction motor drive was developed using radiated fields. In addition to experimental tests, the 3DFE analysis was coupled with circuit-based software to implement the incipient fault cases. The identification was implemented using ANN for seventy various faulty cases. The simulation results were verified experimentally. Finally, the identification of the types of power components were implemented. The results show that it is possible to identify the type of components, as well as the faulty components, by comparing the amplitudes of their stray field harmonics. The identification using the stray fields is nondestructive and can be used for the setups that cannot go offline and be dismantled

Contributos da tecnologia multimédia e do multissensorial nas artesn performativas Era Uma Vez

O presente projeto de intervenção artística com o nome “Era Uma Vez” tem como objetivo transformar Contos Tradicionais numa Performance interativa, recorrendo à tecnologia multimédia, no sentido de proporcionar ao público visitante uma viagem pelo mundo da fantasia, num ambiente multissensorial. Neste sentido, pretendeu-se implementar um espaço de lazer, de relaxamento e um convite ao mundo da fantasia, fazendo sonhar e maravilhando todos os públicos envolvidos. O local de realização da Performance foi um espaço não convencional, um prédio antigo, atualmente desabituado, na cidade de Viseu. Quanto à Performance pretendeu-se que os intérpretes e todo o espaço envolvente provocasse no público múltiplas sensações. Estas provocações poderiam libertar memórias, não fossem as histórias ou os contos muitas vezes responsáveis por incutir determinados sentimentos, valores morais e princípios ideológicos. O uso das tecnologias multimédia nas artes tem tido um crescimento exponencial. Atualmente são muitas as formas de arte que adotam a multimédia no seu processo criativo, este fator provém da necessidade de criar novas ideias, procurar ser original, tornar o produto mais atrativo. A afirmação de espaços multissensoriais ou MSE (Multi Sensory Environment - ambiente multissensorial) tem sido notável. A exploração desta metodologia de trabalho destina-se para além do desenvolvimento e aprendizagem, o querer proporcionar, bem-estar, prazer, exploração, relaxamento e encontrar equilíbrio. A metodologia aplicada para a criação deste projeto é a Metodologia Projetual de Bruno Munari. Tratando-se de um projeto artístico tem uma organização simples e minimalista que resulta de um esquema cujo a ordem é definida pelo autor do projeto mediante as suas necessidades. A Estreia teve como resultado um balanço muito positivo por parte dos participantes, a adesão e a participação do público interagindo com todo o ambiente criado superou as expectativas.

Prática de ensino supervisionada em ensino do 1.º e do 2.º Ciclo do Ensino Básico

O Relatório Final de estágio, que apresentamos, foi elaborado como parte integrante da unidade curricular da Prática de Ensino Supervisionada (de agora em diante mencionada por PES), no âmbito do Mestrado em Ensino do 1.º e do 2.º Ciclo do Ensino Básico da Escola Superior de Educação, do Instituto Politécnico de Bragança, referente ao ano letivo de 2011/2012. Referimos que a PES foi realizada em dois níveis de ensino, 1.º e 2.º Ciclos do Ensino Básico, e em diferentes áreas curriculares destes dois ciclos de estudos. No 1.º Ciclo do Ensino Básico (de agora em diante, referido como 1.ºCEB), realizou-se Língua Portuguesa, Estudo do Meio, Matemática, e Expressão Plástica, numa turma de 4.º ano de escolaridade do Centro Escolar da Sé, agrupamento da Escola Paulo Quintela. No 2.º Ciclo de Ensino Básico (de agora em diante, referido como 2.ºCEB), o estágio nas áreas de Matemática, Língua Portuguesa e História e Geografia de Portugal foi realizado na mesma escola, Paulo Quintela, com a mesma turma de 5.º ano de escolaridade. Na área de Ciências da Natureza, a PES foi realizada na escola Augusto Moreno, numa turma de 6.º ano. Consideramos ter obtido bastante sucesso educativo com os alunos do 1.º ciclo e com os alunos de 2.º ciclo, na área de Ciências da Natureza. Relativamente aos alunos do 2.º ciclo, nas áreas de Matemática, Língua Portuguesa e História e Geografia de Portugal, o sucesso educativo foi mais limitado mas, mesmo assim, pensamos que foi relevante, como explicaremos na reflexão sobre as experiências de ensino-aprendizagem.

Rastreio parasitológico de Tritrichomonas foetus em gatos

Dissertação de Mestrado Integrado em Medicina Veterinária

Physics-Based Modeling of Power System Components for the Evaluation of Low-Frequency Radiated Electromagnetic Fields

The low-frequency electromagnetic compatibility (EMC) is an increasingly important aspect in the design of practical systems to ensure the functional safety and reliability of complex products. The opportunities for using numerical techniques to predict and analyze system’s EMC are therefore of considerable interest in many industries. As the first phase of study, a proper model, including all the details of the component, was required. Therefore, the advances in EMC modeling were studied with classifying analytical and numerical models. The selected model was finite element (FE) modeling, coupled with the distributed network method, to generate the model of the converter’s components and obtain the frequency behavioral model of the converter. The method has the ability to reveal the behavior of parasitic elements and higher resonances, which have critical impacts in studying EMI problems. For the EMC and signature studies of the machine drives, the equivalent source modeling was studied. Considering the details of the multi-machine environment, including actual models, some innovation in equivalent source modeling was performed to decrease the simulation time dramatically. Several models were designed in this study and the voltage current cube model and wire model have the best result. The GA-based PSO method is used as the optimization process. Superposition and suppression of the fields in coupling the components were also studied and verified. The simulation time of the equivalent model is 80-100 times lower than the detailed model. All tests were verified experimentally. As the application of EMC and signature study, the fault diagnosis and condition monitoring of an induction motor drive was developed using radiated fields. In addition to experimental tests, the 3DFE analysis was coupled with circuit-based software to implement the incipient fault cases. The identification was implemented using ANN for seventy various faulty cases. The simulation results were verified experimentally. Finally, the identification of the types of power components were implemented. The results show that it is possible to identify the type of components, as well as the faulty components, by comparing the amplitudes of their stray field harmonics. The identification using the stray fields is nondestructive and can be used for the setups that cannot go offline and be dismantled

Some vocabulary and grammar for the analysis of multi-environment trials, as applied to the analysis of FPB and PPB trials

For the improvement of genetic material suitable for on farm use under low-input conditions, participatory and formal plant breeding strategies are frequently presented as competing options. A common frame of reference to phrase mechanisms and purposes related to breeding strategies will facilitate clearer descriptions of similarities and differences between participatory plant breeding and formal plant breeding. In this paper an attempt is made to develop such a common framework by means of a statistically inspired language that acknowledges the importance of both on farm trials and research centre trials as sources of information for on farm genetic improvement. Key concepts are the genetic correlation between environments, and the heterogeneity of phenotypic and genetic variance over environments. Classic selection response theory is taken as the starting point for the comparison of selection trials (on farm and research centre) with respect to the expected genetic improvement in a target environment (low-input farms). The variance-covariance parameters that form the input for selection response comparisons traditionally come from a mixed model fit to multi-environment trial data. In this paper we propose a recently developed class of mixed models, namely multiplicative mixed models, also called factor-analytic models, for modelling genetic variances and covariances (correlations). Mixed multiplicative models allow genetic variances and covariances to be dependent on quantitative descriptors of the environment, and confer a high flexibility in the choice of variance-covariance structure, without requiring the estimation of a prohibitively high number of parameters. As a result detailed considerations regarding selection response comparisons are facilitated. ne statistical machinery involved is illustrated on an example data set consisting of barley trials from the International Center for Agricultural Research in the Dry Areas (ICARDA). Analysis of the example data showed that participatory plant breeding and formal plant breeding are better interpreted as providing complementary rather than competing information.

Distribution system restoration in a DG environment using a heuristic constructive multi-start algorithm

This paper proposes a heuristic constructive multi-start algorithm (HCMA) to distribution system restoration in real time considering distributed generators installed in the system. The problem is modeled as nonlinear mixed integer and considers the two main goals of the restoration of distribution networks: minimizing the number of consumers without power and the number of switching. The proposed algorithm is implemented in C++ programming language and tested using a large real-life distribution system. The results show that the proposed algorithm is able to provide a set of feasible and good quality solutions in a suitable time for the problem. © 2011 IEEE.