Improving Pitch Tracking Performance in Hard Noise Conditions by a Preprocessing Based on Mathematical Morphology

In this paper we show how a nonlinear preprocessing of speech signal -with high noise- based on morphological filters improves the performance of robust algorithms for pitch tracking (RAPT). This result happens for a very simple morphological filter. More sophisticated ones could even improve such results. Mathematical morphology is widely used in image processing and has a great amount of applications. Almost all its formulations derived in the two-dimensional framework are easily reformulated to be adapted to one-dimensional context

Teollisuusprosessien signaalien automaattinen analysointi

Diplomityössä kehitettiin menetelmiä teollisuusprosessien signaalien automaattiseen havainnointiin ja luotiin työkalu tulosten esittämiseen. Työn tarkoituksena on nopeuttaa ja helpottaa prosessin ongelmien ratkaisua luokittelemalla signaalit matemaattisten menetelmien avulla. Koska prosessin mittaussignaalit ovat pääasiassa stokastisia, eli niitä ei voida etukäteen ennustaa, käsitellään signaaleita tilastomatemaattisin keinoin. Työstä rajattiin mittaushistorian käyttö, joten värähtelyiden tunnistus toteutettiin taajuusanalyysin avulla. Korrelaation avulla löydetään samankaltaiset signaalit. Testeissä todettiin, että työssä kehitetyt havainnoinnit toimivat eri näytteenottotaajuuksilla ja työkalun suoritusnopeus todettiin hyväksi. Lopuksi esiteltiin todellinen teollisuusprosessin ongelma ja siihen mahdollisia ratkaisuja.

Energy expenditure in vocalizations of pigs under stress

Modern swine production faces many challenges nowadays, among which are productivity growth, meat quality improvement, decrease of environmental damage and reduction of cost production. Pigs spend energy to vocalizing, especially when they undergo stress. The waste of energy can increase the cost of production and lead to greater environmental damage. The goal of this study was to estimate the energy spent by pigs under the stress of castration and its effect on the animals' weight gain. Two groups of ten animals each were castrated, being one group with local anesthetic and the other without anesthetic. The piglets' vocalizations were recorded during different stages of the neutering process and then estimated of the amount of energy emitted during each vocalization. Afterwards, this energy was associated with the animals' weight gain. There was no difference in the total energy spent in both groups, since the energy used during the application of anesthetic was similar to the energy spent during the castration of the animals without anesthetic. There was also no correlation between energy spent and the animals' weight gain. It was possible to estimate the amount of energy emitted through vocalization. This energy spent by piglets in pain was greater than in other handling situations (contention, weighting and realease).

Identification of acoustic parameters for broiler welfare estimate

Estimates of broiler welfare have subjective character. Nowadays, researchers seek non-invasive features or indicators that may describe this condition in animal production. The aim of this study was to identify acoustic parameters to estimate broiler welfare using the following five vocalization acoustic parameters: energy, spectral centroid, bandwidth, first formant, and second formant. The database that generated the model was obtained from a field experiment with 432 broilers, which half were Cobb® and half, Ross® breed, from day 21 to 42, containing bird vocalizations under either welfare or stress conditions. The results of the experiment generated responses to the tested conditions of gender, genetic strain, and welfare. The proposed model was based on the specific response of mean weights for each situation of stress and well-being. From the results, a model was developed to estimate the welfare condition of broilers from the registered information linked to their vocalization.

Vocalization of broilers can be used to identify their sex and genetic strain

In order to reach higher broiler performance, farmers target losses reduction. One way to make this possible is by rearing sexed broilers as male and female present diverse performance due to their physiological differences. Birds from different genetic strain also have a distinct performance at the same age. Considering that sexed flocks may present higher performance this study aimed to identify one-day-old chicks’ sex throughout their vocalization. This research also investigated the possibility of identifying the genetic strain by their vocalization attributes. A total of 120 chicks, half of them were from Cobb® genetic strain and the other half from Ross® genetic strain. From each group, a total of 30 were males and 30 females, which were previously separated by sex using their secondary physiological characteristics at the hatchery. Vocalizations audio recording was done inside a semi-anechoic chamber using a unidirectional microphone connected to an audio input of a digital recorder. Vocalizations were recorded for two minutes. Acoustic characteristics of the sounds were analyzed being calculated the fundamental frequency Pitch, the sound intensity, the first formant, and second formant. Results indicated that the vocalizations of both sexes could be identified by the second formant, and the genetic strain was detected by both the second formant and the Pitch.

Detection of Horizontal Two-Phase Flow Patterns Through a Neural Network Model

One of the main problems related to the transport and manipulation of multiphase fluids concerns the existence of characteristic flow patterns and its strong influence on important operation parameters. A good example of this occurs in gas-liquid chemical reactors in which maximum efficiencies can be achieved by maintaining a finely dispersed bubbly flow to maximize the total interfacial area. Thus, the ability to automatically detect flow patterns is of crucial importance, especially for the adequate operation of multiphase systems. This work describes the application of a neural model to process the signals delivered by a direct imaging probe to produce a diagnostic of the corresponding flow pattern. The neural model is constituted of six independent neural modules, each of which trained to detect one of the main horizontal flow patterns, and a last winner-take-all layer responsible for resolving when two or more patterns are simultaneously detected. Experimental signals representing different bubbly, intermittent, annular and stratified flow patterns were used to validate the neural model.

”Käsitteistä käytäntöihin.” Heikot signaalit ja ennakointi strategisen päätöksenteon tukena suomalaisessa vakuutusyhtiössä.

Tämän pro gradu –tutkielman tavoitteena oli selvittää, miten organisaatiossa voidaan hyödyntää heikkojen signaalien analysointia ja ennakointia osana strategista päätöksentekoa. Lisäksi tutkimuksessa pyrittiin luomaan ymmärrys tutkimuksen keskeisten käsitteiden määritelmien moninaisesta kentästä sekä yhdistämään heikkojen signaalien analysointi ennakointiin ja strategiseen päätöksentekoon. Tutkimusstrategiana oli tapaustutkimus, mikä sisältää laadullisen aineiston ja analyysin. Laadullinen aineisto kerättiin kohdeorganisaatiosta puolistrukturoidulla teemahaastattelulla ja analysoitiin teemoittelun avulla. Tutkimustulosten perusteella voidaan todeta, että heikkojen signaalien analysointi on yksi ennakoinnin menetelmistä. Heikkojen signaalien analysoinnilla ja ennakoinnilla voidaan tukea strategista päätöksentekoa ja jopa parantaa päätösten laatua ottamalla huomioon mahdolliset tulevat muutokset toimintaympäristössä. Tulosten perusteella heikkojen signaalien analysointia ja ennakointia tulisi toteuttaa systemaattisesti ja tiedostetusti organisaatiossa.

Rôles physiopathologiques du complément dans le syndrome coronarien aigu et implications thérapeutiques

Les efforts investis pour diminuer les risques de développer un infarctus du myocarde sont nombreux. Aujourd’hui les médecins prennent connaissance des divers facteurs de risque connus prédisposant aux syndromes coronariens aigus (SCA) dans le but de prendre en charge les patients «à risque» [1]. Bien que le suivi rigoureux et le contrôle de certains facteurs de risque modifiables aient permis une meilleure gestion des cas de SCA, les cas d’infarctus persistent de manière encore trop fréquente dans le monde. Puisque d’importantes études ont démontré que les SCA pouvaient survenir sans même la présence des facteurs de risque conventionnels [2, 3], les chercheurs se sont penchés sur un autre mécanisme potentiellement responsable de l’avènement des SCA : l’inflammation. L’inflammation joue un rôle prépondérant dans l’initiation, la progression et les complications de l’athérosclérose [4, 5] mais aussi dans les situations post-infarctus [6, 7]. Au cours des dernières années, le contrôle du processus inflammatoire est devenu une cible de choix dans la prévention et le traitement des SCA. Cependant, malgré les efforts investis, aucun de ces traitements ne s’est avéré pleinement efficace dans l’atteinte du but ultime visé par une diminution de l’inflammation : la diminution de la mortalité. Le complément est un système complexe reconnu principalement pour son rôle primordial dans l’immunité [2]. Cependant, lorsqu’il est activé de manière inappropriée ou excessive, il peut être à l’origine de nombreux dommages cellulaires caractéristiques de plusieurs pathologies inflammatoires dont font partie les complications de l’athérosclérose et des événements post-infarctus. Le travail effectué dans le cadre de mon doctorat vise à établir les rôles physiopathologiques du complément dans les interactions de l’axe thrombose-inflammation caractéristiques des SCA dans le but ultime d’identifier des cibles thérapeutiques permettant le développement de nouvelles approches pour la prévention et le traitement de ces pathologies. Les principaux résultats obtenus durant mon cursus suggèrent d’abord que la voie alterne du complément peut représenter une cible thérapeutique de choix dans les maladies coronariennes aiguës puisque l’activation terminale du complément semble y être principalement causée par l’activation du cette voie. De faibles niveaux sériques de MBL (mannan-binding lectin) et une activation terminale négligeable du complément caractérisent plutôt la maladie coronarienne stable. En comparant l’activité relative de chacune des voies du complément chez des cohortes de patients traités ou non par un anticorps spécifique à la protéine C5 du complément (pexelizumab), un second volet démontre quant à lui qu’une inhibition de l’activation du C5 n’a pas d’effet bénéfique majeur sur l’inhibition de la formation du complexe sC5b-9 ou sur les événements cliniques subséquents. Par conséquent, nous avons exploré, à l’aide d’un modèle in vitro, les raisons de l’inefficacité du traitement. Les résultats révèlent que le blocage du C5 avec le pexelizumab inhibe la production de l’anaphylatoxine pro-inflammatoire C5a et du complexe terminal du complément sans toutefois avoir d’effet sur l’apoptose des cellules endothéliales produites induite par le sérum des patients atteints de STEMI. Finalement, une autre section stipule que l’atorvastatine diminue l’activation du complément induite par les plaquettes sanguines chez des patients hypercholestérolémiques, mettant en évidence l’importance du rôle de cette statine dans la réduction des effets délétères de l’activation du système du complément médié par les plaquettes. Ensemble, l’étude du rôle spécifique des différentes voies d’activation du complément dans des contextes pathologiques variés, l’analyse des effets d’une inhibition spécifique de la protéine C5 du complément dans la progression des SCA et la mise en évidence des interactions entre l’activation du complément et les plaquettes activées ont contribué au développement d’une meilleure connaissance des rôles physiopathologiques du complément dans la progression de la maladie coronarienne.

Fabrication et caractérisation de détecteurs à gouttelettes en surchauffe à bas bruit de fond au sein du projet PICASSO

Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal

Analyse et modélisation de la réponse des détecteurs du projet PICASSO pour la recherche de la matière sombre

Les mesures cosmologiques les plus récentes ont montré la présence d’un type de matière exotique constituant 85% de la masse de l’univers. Ce type de matière non baryonique serait formé de particules neutres, non relativistes, massives et interagissant faiblement avec la matière baryonique. L’ensemble des candidats est regroupé sous le nom générique WIMP (Weakly Interactive Massive Particles). L’expérience PICASSO (Projet d’Identification des CAndidats Supersymétriques de la matière SOmbre) est une expérience utilisant des détecteurs à seuil d’énergie contenant des gouttelettes surchauffées constituées de C4F10. Cette technique de détection est basée sur le principe de la chambre à bulles. Le projet PICASSO a pour but de détecter directement une particule de matière sombre. Le principe de détection est qu’une particule de matière sombre interagissant avec le liquide actif engendre un recul nucléaire du 19F. L’énergie de recul serait suffisante pour engendrer une transition de phase accompagnée d’un signal acoustique enregistrée par des senseurs piézoélectriques. Dans le cadre de ce mémoire, une simulation du taux de comptage de l’étalonnage des détecteurs PICASSO soumis à des neutrons monoénergétiques a été effectuée en utilisant la théorie de Seitz qui décrit les critères pour qu’une transition de phase ait lieu pour un liquide en état de surchauffe. De plus, un modèle calculant le signal acoustique émis lors d’une transition de phase engendré par différents types de radiations a été créé permettant de caractériser la discrimination entre différents bruits de fond en fonction de l’énergie de seuil. Finalement, un outil d’analyse, la localisation des évènements, a été utilisé pour appliquer des coupures sur le volume dans le but d’améliorer la discrimination alpha-neutron.

The role of drama in the teaching of speaking and listening as the basis for social capital

This paper explores how the concept of 'social capital' relates to the teaching of speaking and listening. The argument draws on Bourdieu's notion that a common language is an illusion but posits that an understanding of the grammar of speech can be productive in the development of both an understanding of what constitutes effective speech and the development of competence in speaking. It is argued that applying structuralist notions of written grammar is an inadequate approach to understanding speech acts or enhancing the creative use of speech. An analysis is made of how typical features of speech relate to dramatic dialogue and how the meaning of what is said is contingent upon aural and visual signifiers. On this basis a competent speaker is seen as being one who produces expressions appropriate for a range of situations by intentionally employing such signifiers. The paper draws on research into the way drama teachers make explicit reference to and use of semiotics and dramatic effectiveness in order to improve students' performance and by so doing empower them to increase their social capital. Ultimately, it is concluded that helping students identify, analyse and employ the aural, visual and verbal grammar of spoken English is not an adjunct to the subject of drama, but an intrinsic part of understanding the art form. What is called for is a re-appraisal by drama teachers of their own understanding of concepts relating to speech acts in order to enhance this area of their work.

Wireless sensor networks

This paper provides an introduction to Wireless Sensor Networks (WSN), their applications in the field of control engineering and elsewhere and gives pointers to future research needs. WSN are collections of stand-alone devices which, typically, have one or more sensors (e.g. temperature, light level), some limited processing capability and a wireless interface allowing communication with a base station. As they are usually battery powered, the biggest challenge is to achieve the necessary monitoring whilst using the least amount of power.

A WAVELET-BASED SPEAKER VERIFICATION ALGORITHM

This paper presents a study on wavelets and their characteristics for the specific purpose of serving as a feature extraction tool for speaker verification (SV), considering a Radial Basis Function (RBF) classifier, which is a particular type of Artificial Neural Network (ANN). Examining characteristics such as support-size, frequency and phase responses, amongst others, we show how Discrete Wavelet Transforms (DWTs), particularly the ones which derive from Finite Impulse Response (FIR) filters, can be used to extract important features from a speech signal which are useful for SV. Lastly, an SV algorithm based on the concepts presented is described.

Improved voice activity detection algorithm using wavelet and support vector machine

This paper proposes an improved voice activity detection (VAD) algorithm using wavelet and support vector machine (SVM) for European Telecommunication Standards Institution (ETS1) adaptive multi-rate (AMR) narrow-band (NB) and wide-band (WB) speech codecs. First, based on the wavelet transform, the original IIR filter bank and pitch/tone detector are implemented, respectively, via the wavelet filter bank and the wavelet-based pitch/tone detection algorithm. The wavelet filter bank can divide input speech signal into several frequency bands so that the signal power level at each sub-band can be calculated. In addition, the background noise level can be estimated in each sub-band by using the wavelet de-noising method. The wavelet filter bank is also derived to detect correlated complex signals like music. Then the proposed algorithm can apply SVM to train an optimized non-linear VAD decision rule involving the sub-band power, noise level, pitch period, tone flag, and complex signals warning flag of input speech signals. By the use of the trained SVM, the proposed VAD algorithm can produce more accurate detection results. Various experimental results carried out from the Aurora speech database with different noise conditions show that the proposed algorithm gives considerable VAD performances superior to the AMR-NB VAD Options 1 and 2, and AMR-WB VAD. (C) 2009 Elsevier Ltd. All rights reserved.

Literatura e educação :ação argumentativa na discussão de histórias

The focus of this thesis is the discussion of stories from the fairy tales genre in reading classes of Children´s Literature. Its main purpose is to investigate the argumentative action in the mediation pedagogic process.The evidence from this study is that the argumentative action is a fundamental component of teacher´s mediation as far as story discussion is concerned. The concept of mediation in this thesis comes from principles of interacionist Psychology articulated with THE theory of argumentation. It is understood that argumentative action is a process that objectives to obtain and to intensify the interlocuter´s adhesion through speech. The analysis of the story discussion activity is based on Psycholinguistic, particularly on the study of prevision ability; on the Theory of reception with special reference to the theory of the aesthetic effect, which considers the reader´s reactions and reader´s replies to the text; and on sociocognitive conflict study highlighting conflicts modalities brought up by the discussion of texts. The corpus analysed is composed by discussion episodes of stories from reading classes of Children´s Literature realized through participative observation.The subjects were children aged five-six years old from a public pre-school located in Natal-RN, Brazil. The study highlights mediation acts of argumentative nature such as direct question; illustrations from the book; rereading that were used by the teacher-researcher in story discussion. Among its conclusions it is revealed that argumentative action in stories discussion favors and intensifies the agreement of children´s to the activity. It increases the interaction between text and reader; it favours children´s organization and explicitation of their thoughts. The analysed material shows children´s exposing their ability to argue when having adequade scaffolding by an argumentative mediator the teacher