Prediction of free-stall occupancy rate in dairycattle barns through fuzzy sets

The goal of this study was to develop a fuzzy model to predict the occupancy rate of free-stalls facilities of dairy cattle, aiding to optimize the design of projects. The following input variables were defined for the development of the fuzzy system: dry bulb temperature (Tdb, °C), wet bulb temperature (Twb, °C) and black globe temperature (Tbg, °C). Based on the input variables, the fuzzy system predicts the occupancy rate (OR, %) of dairy cattle in free-stall barns. For the model validation, data collecting were conducted on the facilities of the Intensive System of Milk Production (SIPL), in the Dairy Cattle National Research Center (CNPGL) of Embrapa. The OR values, estimated by the fuzzy system, presented values of average standard deviation of 3.93%, indicating low rate of errors in the simulation. Simulated and measured results were statistically equal (P>0.05, t Test). After validating the proposed model, the average percentage of correct answers for the simulated data was 89.7%. Therefore, the fuzzy system developed for the occupancy rate prediction of free-stalls facilities for dairy cattle allowed a realistic prediction of stalls occupancy rate, allowing the planning and design of free-stall barns.

Fuzzy modeling of broiler performance, raised from 1 to 21 days, subject to heat stress

ABSTRACT Given the need to obtain systems to better control broiler production environment, we performed an experiment with broilers from 1 to 21 days, which were submitted to different intensities and air temperature durations in conditioned wind tunnels and the results were used for validation of afuzzy model. The model was developed using as input variables: duration of heat stress (days), dry bulb air temperature (°C) and as output variable: feed intake (g) weight gain (g) and feed conversion (g.g-1). The inference method used was Mamdani, 20 rules have been prepared and the defuzzification technique used was the Center of Gravity. A satisfactory efficiency in determining productive responses is evidenced in the results obtained in the model simulation, when compared with the experimental data, where R2 values ​​calculated for feed intake, weight gain and feed conversion were 0.998, 0.981 and 0.980, respectively.

The Changing Role of the CIO: Developing Skills by Means of Postgraduate Educational Programs

The objective of this research was to identify the skills and competences required by Chief Information Officers in their professional life and whether these skills can be developed by means of postgraduate education pro-grams. Although the changing role of the CIO has been studied for years by the academia, the ways of necessary skills development have not been paid significant attention. In order to obtain understanding of the topic and its main issues qualitative method was implemented and questionnaires and interviews were conducted with CIOs and other C-level executives to-gether with analysis of the curricula of postgraduate educational programs in the field of business designed for executives. Business skills and knowledge along with developed communication and leadership skills are among the most discussed and required from CIOs. According to the collected data and its further analysis, although the most important competences of an IT executive are technological, the im-portance of business related skills is emphasized by the majority of re-spondents and supported by the existing theory. Postgraduate educational programs have curricula that can develop the required competences, alt-hough not equally.

Building Dynamic Data Centers for Fast Delivery of New Data and Data Updates

Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

DNA fingerprinting of Mycobacterium tuberculosis from patients with and without AIDS in Rio de Janeiro

Isolates of Mycobacterium tuberculosis derived from patients with AIDS from a single hospital in Rio de Janeiro were typed using a standardized RFLP technique detecting IS6110 polymorphism. Nineteen isolates were obtained from 15 different patients. Eleven distinct IS6110 patterns were found, with 4 banding patterns shared by 2 patients. The clustering value of 53% was much higher in comparison with clustering of M. tuberculosis strains from TB patients without clinical signs for HIV infection from randomly selected health centers. We present these results as preliminary data on M. tuberculosis strain polymorphism in Brazil and on the higher risk for recent transmission amongst patients with AIDS

Effect of race, genetic population structure, and genetic models in two-locus association studies: clustering of functional renin-angiotensin system gene variants in hypertension association studies

Previous genetic association studies have overlooked the potential for biased results when analyzing different population structures in ethnically diverse populations. The purpose of the present study was to quantify this bias in two-locus association studies conducted on an admixtured urban population. We studied the genetic structure distribution of angiotensin-converting enzyme insertion/deletion (ACE I/D) and angiotensinogen methionine/threonine (M/T) polymorphisms in 382 subjects from three subgroups in a highly admixtured urban population. Group I included 150 white subjects; group II, 142 mulatto subjects, and group III, 90 black subjects. We conducted sample size simulation studies using these data in different genetic models of gene action and interaction and used genetic distance calculation algorithms to help determine the population structure for the studied loci. Our results showed a statistically different population structure distribution of both ACE I/D (P = 0.02, OR = 1.56, 95% CI = 1.05-2.33 for the D allele, white versus black subgroup) and angiotensinogen M/T polymorphism (P = 0.007, OR = 1.71, 95% CI = 1.14-2.58 for the T allele, white versus black subgroup). Different sample sizes are predicted to be determinant of the power to detect a given genotypic association with a particular phenotype when conducting two-locus association studies in admixtured populations. In addition, the postulated genetic model is also a major determinant of the power to detect any association in a given sample size. The present simulation study helped to demonstrate the complex interrelation among ethnicity, power of the association, and the postulated genetic model of action of a particular allele in the context of clustering studies. This information is essential for the correct planning and interpretation of future association studies conducted on this population.

Semantic and fuzzy modelling for human behaviour recognition in smart spaces : a case study on ambient assisted living.

Human activity recognition in everyday environments is a critical, but challenging task in Ambient Intelligence applications to achieve proper Ambient Assisted Living, and key challenges still remain to be dealt with to realize robust methods. One of the major limitations of the Ambient Intelligence systems today is the lack of semantic models of those activities on the environment, so that the system can recognize the speci c activity being performed by the user(s) and act accordingly. In this context, this thesis addresses the general problem of knowledge representation in Smart Spaces. The main objective is to develop knowledge-based models, equipped with semantics to learn, infer and monitor human behaviours in Smart Spaces. Moreover, it is easy to recognize that some aspects of this problem have a high degree of uncertainty, and therefore, the developed models must be equipped with mechanisms to manage this type of information. A fuzzy ontology and a semantic hybrid system are presented to allow modelling and recognition of a set of complex real-life scenarios where vagueness and uncertainty are inherent to the human nature of the users that perform it. The handling of uncertain, incomplete and vague data (i.e., missing sensor readings and activity execution variations, since human behaviour is non-deterministic) is approached for the rst time through a fuzzy ontology validated on real-time settings within a hybrid data-driven and knowledgebased architecture. The semantics of activities, sub-activities and real-time object interaction are taken into consideration. The proposed framework consists of two main modules: the low-level sub-activity recognizer and the high-level activity recognizer. The rst module detects sub-activities (i.e., actions or basic activities) that take input data directly from a depth sensor (Kinect). The main contribution of this thesis tackles the second component of the hybrid system, which lays on top of the previous one, in a superior level of abstraction, and acquires the input data from the rst module's output, and executes ontological inference to provide users, activities and their in uence in the environment, with semantics. This component is thus knowledge-based, and a fuzzy ontology was designed to model the high-level activities. Since activity recognition requires context-awareness and the ability to discriminate among activities in di erent environments, the semantic framework allows for modelling common-sense knowledge in the form of a rule-based system that supports expressions close to natural language in the form of fuzzy linguistic labels. The framework advantages have been evaluated with a challenging and new public dataset, CAD-120, achieving an accuracy of 90.1% and 91.1% respectively for low and high-level activities. This entails an improvement over both, entirely data-driven approaches, and merely ontology-based approaches. As an added value, for the system to be su ciently simple and exible to be managed by non-expert users, and thus, facilitate the transfer of research to industry, a development framework composed by a programming toolbox, a hybrid crisp and fuzzy architecture, and graphical models to represent and con gure human behaviour in Smart Spaces, were developed in order to provide the framework with more usability in the nal application. As a result, human behaviour recognition can help assisting people with special needs such as in healthcare, independent elderly living, in remote rehabilitation monitoring, industrial process guideline control, and many other cases. This thesis shows use cases in these areas.

Clinical signs of pneumonia in children: association with and prediction of diagnosis by fuzzy sets theory

The present study compares the performance of stochastic and fuzzy models for the analysis of the relationship between clinical signs and diagnosis. Data obtained for 153 children concerning diagnosis (pneumonia, other non-pneumonia diseases, absence of disease) and seven clinical signs were divided into two samples, one for analysis and other for validation. The former was used to derive relations by multi-discriminant analysis (MDA) and by fuzzy max-min compositions (fuzzy), and the latter was used to assess the predictions drawn from each type of relation. MDA and fuzzy were closely similar in terms of prediction, with correct allocation of 75.7 to 78.3% of patients in the validation sample, and displaying only a single instance of disagreement: a patient with low level of toxemia was mistaken as not diseased by MDA and correctly taken as somehow ill by fuzzy. Concerning relations, each method provided different information, each revealing different aspects of the relations between clinical signs and diagnoses. Both methods agreed on pointing X-ray, dyspnea, and auscultation as better related with pneumonia, but only fuzzy was able to detect relations of heart rate, body temperature, toxemia and respiratory rate with pneumonia. Moreover, only fuzzy was able to detect a relationship between heart rate and absence of disease, which allowed the detection of six malnourished children whose diagnoses as healthy are, indeed, disputable. The conclusion is that even though fuzzy sets theory might not improve prediction, it certainly does enhance clinical knowledge since it detects relationships not visible to stochastic models.

Estimating the average length of hospitalization due to pneumonia: a fuzzy approach

Exposure to air pollutants is associated with hospitalizations due to pneumonia in children. We hypothesized the length of hospitalization due to pneumonia may be dependent on air pollutant concentrations. Therefore, we built a computational model using fuzzy logic tools to predict the mean time of hospitalization due to pneumonia in children living in São José dos Campos, SP, Brazil. The model was built with four inputs related to pollutant concentrations and effective temperature, and the output was related to the mean length of hospitalization. Each input had two membership functions and the output had four membership functions, generating 16 rules. The model was validated against real data, and a receiver operating characteristic (ROC) curve was constructed to evaluate model performance. The values predicted by the model were significantly correlated with real data. Sulfur dioxide and particulate matter significantly predicted the mean length of hospitalization in lags 0, 1, and 2. This model can contribute to the care provided to children with pneumonia.

Transient and Pulsed Electron Paramagnetic Resonance Spectroscopy on Type I Photosynthetic Reaction Centers

Two time-resolved EPR techniques, have been used to study the light induced electron transfer(ET) in Type I photosynthetic reaction centers(RCs). First, pulsed EPR was used to compare PsaA-M688H and PsaB-M668H mutants of Chlamydomonas reinhardtii and Synechosystis sp. PCC 6803.The out-of-phase echo modulation curves combined with other EPR and optical data show that the effect of the mutations is species dependent. Second, transient and pulsed EPR data are presented which show that PsaA-A660N and PsaB-A640N mutations in C. reinhardtii alter the relative quantum yield of ET in the A- and B-branches of PS I. Third, transient EPR studies on RCs from Heliobacillus mobilis that have been exposed to oxygen show partial inhibition of ET. In the RCs in which ET still occurs, the ET kinetics and EPR spectra show evidence of oxidation of some but not all of the, BChl g and BChl g' to Chl a.

Assessing the Reproducibility of Clustering of Molecular Dynamics Conformations on Self-Organizing Maps

The goal of most clustering algorithms is to find the optimal number of clusters (i.e. fewest number of clusters). However, analysis of molecular conformations of biological macromolecules obtained from computer simulations may benefit from a larger array of clusters. The Self-Organizing Map (SOM) clustering method has the advantage of generating large numbers of clusters, but often gives ambiguous results. In this work, SOMs have been shown to be reproducible when the same conformational dataset is independently clustered multiple times (~100), with the help of the Cramérs V-index (C_v). The ability of C_v to determine which SOMs are reproduced is generalizable across different SOM source codes. The conformational ensembles produced from MD (molecular dynamics) and REMD (replica exchange molecular dynamics) simulations of the penta peptide Met-enkephalin (MET) and the 34 amino acid protein human Parathyroid Hormone (hPTH) were used to evaluate SOM reproducibility. The training length for the SOM has a huge impact on the reproducibility. Analysis of MET conformational data definitively determined that toroidal SOMs cluster data better than bordered maps due to the fact that toroidal maps do not have an edge effect. For the source code from MATLAB, it was determined that the learning rate function should be LINEAR with an initial learning rate factor of 0.05 and the SOM should be trained by a sequential algorithm. The trained SOMs can be used as a supervised classification for another dataset. The toroidal 10×10 hexagonal SOMs produced from the MATLAB program for hPTH conformational data produced three sets of reproducible clusters (27%, 15%, and 13% of 100 independent runs) which find similar partitionings to those of smaller 6×6 SOMs. The χ^2 values produced as part of the C_v calculation were used to locate clusters with identical conformational memberships on independently trained SOMs, even those with different dimensions. The χ^2 values could relate the different SOM partitionings to each other.

L’utilisation des services de centre de jour par les personnes âgées qui présentent des incapacités

Contexte: Les centres de jour offrent des interventions de groupe à des personnes âgées qui présentent des incapacités, dans le but de favoriser leur maintien à domicile. Des études récentes tendent à démontrer qu’une utilisation régulière du service serait nécessaire pour induire des effets bénéfiques. Objectifs: Cette recherche visait à documenter l’utilisation des centres de jour par des personnes âgées qui présentent des incapacités. Elle comportait trois principaux objectifs: 1) Caractériser les utilisateurs de centre de jour et ce qui les distingue des non-utilisateurs et analyser les déterminants de l’utilisation du centre de jour. 2) Explorer l’adéquation entre les activités offertes par les centres de jour et les caractéristiques d’autonomie et de santé des utilisateurs. 3) Définir les facteurs associés à la régularité de la participation. Méthodes: Cette recherche s’appuie sur une analyse secondaire de données recueillies auprès de 723 personnes âgées qui ont participé au projet de démonstration SIPA (Services intégrés pour personnes âgées) implanté dans deux CLSC de la région de Montréal. L’utilisation du centre de jour a été documentée pendant une période de six mois, auprès des cinq centres de jour existant sur ce même territoire. Des informations sur le fonctionnement des centres de jour ont été obtenues par des entrevues et des rencontres de groupe auprès de coordonnateurs de ces centres. Les données ont été analysées à l’aide de statistiques descriptives, d’analyses en regroupement et d’analyses de régression logistique et multiple. Résultats: Les résultats sont présentés dans trois articles, soit un pour chacun des objectifs. Article 1: La proportion d’utilisateurs de centre de jour est de 18,8% (IC-0,95: 16,0 à 21,7%). Les facteurs suivants augmentent la probabilité d’utiliser le centre de jour: être plus jeune (RC: 1,12; IC-0,95: 1,06 à 1,19); ne pas avoir une éducation universitaire (RC: 1,92; IC-0,95: 1,04 à 3,57); recevoir l’aide du CLSC pour les activités de vie quotidienne plus d’une fois par semaine (RC: 1,73 et 2,48 pour aide de deux à cinq fois par semaine et aide de six à sept fois par semaine respectivement; IC-0,95: 1,06 à 2,80 et 1,22 à 5,06); faire partie du bassin de desserte d’un centre de jour dont les coûts sont moins élevés (RC: 1,054 ; IC-0,95: 1,001 à 1,108 pour chaque augmentation de 1$); et pour les hommes seulement, avoir déjà subi un accident vasculaire cérébral et présenter davantage d’incapacités fonctionnelles (interaction entre le sexe et la présence d’un AVC: RC: 0,298; IC-0,95: 0,108 à 0,825; interaction entre le sexe et les capacités fonctionnelles mesurées à l’OARS: RC: 1,096; IC-0,95: 1,019 à 1,178). De plus, on observe une plus grande probabilité d’utiliser le centre de jour chez les personnes qui cohabitent avec une personne de soutien. Toutefois, cette relation ne s’observe que chez les personnes nées au Canada (interaction entre la cohabitation avec la personne de soutien et le pays de naissance: RC: 0,417; IC-0,95: 0,185 à 0,938). Article 2: Des analyses en regroupement ont permis de distinguer quatre profils de participants ayant des caractéristiques similaires: 1) les personnes fragilisées par un âge avancé et un grand nombre de problèmes de santé; 2) les participants plus jeunes et plus autonomes que la moyenne, qui semblent des utilisateurs précoces; 3) les personnes qui présentent des incapacités d’origine cognitive; et 4) celles qui présentent des incapacités d’origine motrice. Les activités de groupe des centres de jour ont été regroupées en huit catégories: exercices physiques; groupe spécifique pour un diagnostic ou un problème fonctionnel commun; activités fonctionnelles; stimulation cognitive; activités musicales ou de réminiscence; sports et jeux physiques; intégration sociale; prévention et promotion de la santé. Les activités les plus fréquentes sont les exercices physiques et les activités d’intégration sociale auxquelles ont participé plus de 90% des utilisateurs de centre de jour, et ce en moyenne à respectivement 78% (±23%) et 72% (±24%) de leurs présences au centre de jour. Les autres catégories d’activités rejoignent de 45% à 77% des participants, et ce en moyenne à 35% (±15%) à 46% (±33%) de leurs présences. La participation aux diverses catégories d’activités a été étudiée pour chaque profil d’utilisateurs et comparée aux activités recommandées pour divers types de clientèle. On observe une concordance partielle entre les activités offertes et les besoins des utilisateurs. Cette concordance apparaît plus grande pour les participants qui présentent des problèmes de santé physique ou des incapacités d’origine motrice et plus faible pour ceux qui présentent des symptômes dépressifs ou des atteintes cognitives. Article 3: Les participants au centre de jour y sont inscrits en moyenne à raison de 1,56 (±0,74) jours par semaine mais sont réellement présents à 68,1% des jours attendus. Les facteurs suivants sont associés à une participation plus régulière au centre de jour en termes de taux de présences réelles / présences attendues: ne pas avoir travaillé dans le domaine de la santé (b: ,209; IC-0,95: ,037 à ,382); recevoir de l’aide du CLSC les jours de fréquentation du centre de jour (b: ,124; IC-0,95: ,019 à ,230); être inscrit pour la journée plutôt que la demi-journée (b: ,209: IC-0,95: ,018 à ,399); lors de ses présences au centre de jour, avoir une moins grande proportion d’activités de prévention et promotion de la santé (b: ,223; IC-0,95: ,044 à ,402); et enfin, avoir un aidant qui présente un fardeau moins élevé pour les personnes avec une atteinte cognitive et un fardeau plus élevé pour les personnes sans atteinte cognitive (interaction entre la présence d’atteinte cognitive et le fardeau de l’aidant: b: -,008; IC-0,95: -,014 à -,044). Conclusion: Conformément à leur mission, les centres de jour rejoignent une bonne proportion des personnes âgées qui présentent des incapacités. Cette étude fait ressortir les caractéristiques des personnes les plus susceptibles d’y participer. Elle suggère la nécessité de revoir la planification des activités pour assurer une offre de services qui tienne davantage compte des besoins des participants, en particulier de ceux qui présentent des atteintes cognitives et des symptômes de dépression. Elle démontre aussi que l’intensité d’exposition au service semble faible, ce qui soulève la question des seuils d’exposition nécessaires pour induire des effets favorables sur le maintien à domicile et sur la qualité de vie de la clientèle cible.

Mediators of the effects of past corporal punishment experiences on the intent to use corporal punishment

Les analyses statistiques ont été réalisées avec le logiciels SPSS 11.0(Statistical Package for Social Sciences) et AMOS 6 (Analysis of Moment Structures. La base de données de l'étude a été crée et receuillie par Caroline Despatie en collaboration avec Dr. Dianne Casoni.

Modélisation des bi-grappes et sélection des variables pour des données de grande dimension : application aux données d’expression génétique

Les simulations ont été implémentées avec le programme Java.

Energy-Efficient Cluster based Routing Schemes for Static and Mobile Sensor Networks

The theme of the thesis is centred around one important aspect of wireless sensor networks; the energy-efficiency.The limited energy source of the sensor nodes calls for design of energy-efficient routing protocols. The schemes for protocol design should try to minimize the number of communications among the nodes to save energy. Cluster based techniques were found energy-efficient. In this method clusters are formed and data from different nodes are collected under a cluster head belonging to each clusters and then forwarded it to the base station.Appropriate cluster head selection process and generation of desirable distribution of the clusters can reduce energy consumption of the network and prolong the network lifetime. In this work two such schemes were developed for static wireless sensor networks.In the first scheme, the energy wastage due to cluster rebuilding incorporating all the nodes were addressed. A tree based scheme is presented to alleviate this problem by rebuilding only sub clusters of the network. An analytical model of energy consumption of proposed scheme is developed and the scheme is compared with existing cluster based scheme. The simulation study proved the energy savings observed.The second scheme concentrated to build load-balanced energy efficient clusters to prolong the lifetime of the network. A voting based approach to utilise the neighbor node information in the cluster head selection process is proposed. The number of nodes joining a cluster is restricted to have equal sized optimum clusters. Multi-hop communication among the cluster heads is also introduced to reduce the energy consumption. The simulation study has shown that the scheme results in balanced clusters and the network achieves reduction in energy consumption.The main conclusion from the study was the routing scheme should pay attention on successful data delivery from node to base station in addition to the energy-efficiency. The cluster based protocols are extended from static scenario to mobile scenario by various authors. None of the proposals addresses cluster head election appropriately in view of mobility. An elegant scheme for electing cluster heads is presented to meet the challenge of handling cluster durability when all the nodes in the network are moving. The scheme has been simulated and compared with a similar approach.The proliferation of sensor networks enables users with large set of sensor information to utilise them in various applications. The sensor network programming is inherently difficult due to various reasons. There must be an elegant way to collect the data gathered by sensor networks with out worrying about the underlying structure of the network. The final work presented addresses a way to collect data from a sensor network and present it to the users in a flexible way.A service oriented architecture based application is built and data collection task is presented as a web service. This will enable composition of sensor data from different sensor networks to build interesting applications. The main objective of the thesis was to design energy-efficient routing schemes for both static as well as mobile sensor networks. A progressive approach was followed to achieve this goal.