Trajetória do crescimento da cidade de Colatina

It approaches the growth of the city of Colatina-ES, the county seat that has urban economy and urban population, and territory with most of the rural area. Rural areas, however, contribute little to the city s economy and are largely environmentally degraded, idle and waiting for recovery. The objective is to understand the growth of the city of Colatina, and the factors and consequences of this growth. Land division projects, investments and interventions in urban and rural areas were collected for the analysis. As a median-sized city characterized by central and regional polarity, but outside of the main investments in the state, Colatina seeks to take advantage of its situation of commercial warehouse city and road junction to stay alive in the regional economy. The citys economy is based on trade and services, but seeks to attract investment to the industry and logistics. The expansion of the city since the early formation follows the road system, which creates a dispersed spatiality. The characteristics of the urban growth of Colatina are the result of economic development strategies, interests in the property market and a government that abstains from urban control. These factors lead a sprawl urbanization that presents itself costly and not sustainable for urban and rural areas because it creates segregation, higher infrastructure costs, low-density and monofunctional urban spaces, pollution, and worsening of environmental depletion. The challenges for sustainable growth of the city of Colatina depends on a municipal and regional planning, which qualifies and diversifies its urban areas, avoids unnecessary expansion of the urban perimeter, retrieves its environmental degraded areas and leverages the agricultural activities in a productive and less aggressive way to the environment

Balanceamento de linhas de produção usando algoritmos genéticos

Aquando da definição de um layout por fluxo de produto, ou linha de produção, é necessário proceder-se à melhor selecção de combinações de tarefas a serem executadas em cada estação / posto de trabalho para que o trabalho seja executado numa sequência exequível e sejam necessárias quantidades de tempo aproximadamente iguais em cada estação / posto de trabalho. Este processo é chamado de balanceamento da linha de produção. Verifica-se que as estações de trabalho e equipamentos podem ser combinados de muitas maneiras diferentes; daí que a necessidade de efectuar o balanceamento das linhas de produção implique a distribuição de actividades sequenciais por postos de trabalho de modo a permitir uma elevada utilização de trabalho e de equipamentos e a minimizar o tempo de vazio. Os problemas de balanceamento de linhas são tipicamente problemas complexos de tratar, devido ao elevado número de combinações possíveis. Entre os métodos utilizados para resolver estes problemas encontram-se métodos de tentativa e erro, métodos heurísticos, métodos computacionais de avaliação de diferentes opções até se encontrar uma boa solução e métodos de optimização. O objectivo deste trabalho passou pelo desenvolvimento de uma ferramenta computacional para efectuar o balanceamento de linhas de produção recorrendo a algoritmos genéticos. Foi desenvolvida uma aplicação que implementa dois algoritmos genéticos, um primeiro que obtém soluções para o problema e um segundo que optimiza essas soluções, associada a uma interface gráfica em C# que permite a inserção do problema e a visualização de resultados. Obtiveram-se resultados exequíveis demonstrando vantagens em relação aos métodos heurísticos, pois é possível obter-se mais do que uma solução. Além disso, para problemas complexos torna-se mais prático o uso da aplicação desenvolvida. No entanto, esta aplicação permite no máximo seis precedências por cada operação e resultados com o máximo de nove estações de trabalho.

On the adaptation of broadcast transactions in token-passing fieldbus networks with heterogeneous transmission media

Broadcast networks that are characterised by having different physical layers (PhL) demand some kind of traffic adaptation between segments, in order to avoid traffic congestion in linking devices. In many LANs, this problem is solved by the actual linking devices, which use some kind of flow control mechanism that either tell transmitting stations to pause (the transmission) or just discard frames. In this paper, we address the case of token-passing fieldbus networks operating in a broadcast fashion and involving message transactions over heterogeneous (wired or wireless) physical layers. For the addressed case, real-time and reliability requirements demand a different solution to the traffic adaptation problem. Our approach relies on the insertion of an appropriate idle time before a station issuing a request frame. In this way, we guarantee that the linking devices’ queues do not increase in a way that the timeliness properties of the overall system turn out to be unsuitable for the targeted applications.

Supporting real-time parallel task models with work-stealing

Dynamic parallel scheduling using work-stealing has gained popularity in academia and industry for its good performance, ease of implementation and theoretical bounds on space and time. Cores treat their own double-ended queues (deques) as a stack, pushing and popping threads from the bottom, but treat the deque of another randomly selected busy core as a queue, stealing threads only from the top, whenever they are idle. However, this standard approach cannot be directly applied to real-time systems, where the importance of parallelising tasks is increasing due to the limitations of multiprocessor scheduling theory regarding parallelism. Using one deque per core is obviously a source of priority inversion since high priority tasks may eventually be enqueued after lower priority tasks, possibly leading to deadline misses as in this case the lower priority tasks are the candidates when a stealing operation occurs. Our proposal is to replace the single non-priority deque of work-stealing with ordered per-processor priority deques of ready threads. The scheduling algorithm starts with a single deque per-core, but unlike traditional work-stealing, the total number of deques in the system may now exceed the number of processors. Instead of stealing randomly, cores steal from the highest priority deque.

The impact of driving styles on fuel consumption: a data-warehouse-and-data-mining-based discovery process

This paper discusses the results of applied research on the eco-driving domain based on a huge data set produced from a fleet of Lisbon's public transportation buses for a three-year period. This data set is based on events automatically extracted from the control area network bus and enriched with GPS coordinates, weather conditions, and road information. We apply online analytical processing (OLAP) and knowledge discovery (KD) techniques to deal with the high volume of this data set and to determine the major factors that influence the average fuel consumption, and then classify the drivers involved according to their driving efficiency. Consequently, we identify the most appropriate driving practices and styles. Our findings show that introducing simple practices, such as optimal clutch, engine rotation, and engine running in idle, can reduce fuel consumption on average from 3 to 5l/100 km, meaning a saving of 30 l per bus on one day. These findings have been strongly considered in the drivers' training sessions.

Race-to-halt energy saving strategies

Energy consumption is one of the major issues for modern embedded systems. Early, power saving approaches mainly focused on dynamic power dissipation, while neglecting the static (leakage) energy consumption. However, technology improvements resulted in a case where static power dissipation increasingly dominates. Addressing this issue, hardware vendors have equipped modern processors with several sleep states. We propose a set of leakage-aware energy management approaches that reduce the energy consumption of embedded real-time systems while respecting the real-time constraints. Our algorithms are based on the race-to-halt strategy that tends to run the system at top speed with an aim to create long idle intervals, which are used to deploy a sleep state. The effectiveness of our algorithms is illustrated with an extensive set of simulations that show an improvement of up to 8% reduction in energy consumption over existing work at high utilization. The complexity of our algorithms is smaller when compared to state-of-the-art algorithms. We also eliminate assumptions made in the related work that restrict the practical application of the respective algorithms. Moreover, a novel study about the relation between the use of sleep intervals and the number of pre-emptions is also presented utilizing a large set of simulation results, where our algorithms reduce the experienced number of pre-emptions in all cases. Our results show that sleep states in general can save up to 30% of the overall number of pre-emptions when compared to the sleep-agnostic earliest-deadline-first algorithm.

Exploring distributed computing tools through data mining tasks

Harnessing idle PCs CPU cycles, storage space and other resources of networked computers to collaborative are mainly fixated on for all major grid computing research projects. Most of the university computers labs are occupied with the high puissant desktop PC nowadays. It is plausible to notice that most of the time machines are lying idle or wasting their computing power without utilizing in felicitous ways. However, for intricate quandaries and for analyzing astronomically immense amounts of data, sizably voluminous computational resources are required. For such quandaries, one may run the analysis algorithms in very puissant and expensive computers, which reduces the number of users that can afford such data analysis tasks. Instead of utilizing single expensive machines, distributed computing systems, offers the possibility of utilizing a set of much less expensive machines to do the same task. BOINC and Condor projects have been prosperously utilized for solving authentic scientific research works around the world at a low cost. In this work the main goal is to explore both distributed computing to implement, Condor and BOINC, and utilize their potency to harness the ideal PCs resources for the academic researchers to utilize in their research work. In this thesis, Data mining tasks have been performed in implementation of several machine learning algorithms on the distributed computing environment.

Sensor Integration for Smart Cities Using Multi-Hop Networks

Smart Cities are designed to be living systems and turn urban dwellers life more comfortable and interactive by keeping them aware of what surrounds them, while leaving a greener footprint. The Future Cities Project [1] aims to create infrastructures for research in smart cities including a vehicular network, the BusNet, and an environmental sensor platform, the Urban Sense. Vehicles within the BusNet are equipped with On Board Units (OBUs) that offer free Wi-Fi to passengers and devices near the street. The Urban Sense platform is composed by a set of Data Collection Units (DCUs) that include a set of sensors measuring environmental parameters such as air pollution, meteorology and noise. The Urban Sense platform is expanding and receptive to add new sensors to the platform. The parnership with companies like TNL were made and the need to monitor garbage street containers emerged as air pollution prevention. If refuse collection companies know prior to the refuse collection which route is the best to collect the maximum amount of garbage with the shortest path, they can reduce costs and pollution levels are lower, leaving behind a greener footprint. This dissertation work arises in the need to monitor the garbage street containers and integrate these sensors into an Urban Sense DCU. Due to the remote locations of the garbage street containers, a network extension to the vehicular network had to be created. This dissertation work also focus on the Multi-hop network designed to extend the vehicular network coverage area to the remote garbage street containers. In locations where garbage street containers have access to the vehicular network, Roadside Units (RSUs) or Access Points (APs), the Multi-hop network serves has a redundant path to send the data collected from DCUs to the Urban Sense cloud database. To plan this highly dynamic network, the Wi-Fi Planner Tool was developed. This tool allowed taking measurements on the field that led to an optimized location of the Multi-hop network nodes with the use of radio propagation models. This tool also allowed rendering a temperature-map style overlay for Google Earth [2] application. For the DCU for garbage street containers the parner company provided the access to a HUB (device that communicates with the sensor inside the garbage containers). The Future Cities use the Raspberry pi as a platform for the DCUs. To collect the data from the HUB a RS485 to RS232 converter was used at the physical level and the Modbus protocol at the application level. To determine the location and status of the vehicles whinin the vehicular network a TCP Server was developed. This application was developed for the OBUs providing the vehicle Global Positioning System (GPS) location as well as information of when the vehicle is stopped, moving, on idle or even its slope. To implement the Multi-hop network on the field some scripts were developed such as pingLED and “shark”. These scripts helped upon node deployment on the field as well as to perform all the tests on the network. Two setups were implemented on the field, an urban setup was implemented for a Multi-hop network coverage survey and a sub-urban setup was implemented to test the Multi-hop network routing protocols, Optimized Link State Routing Protocol (OLSR) and Babel.

Plano estratégico “Empowering Lab ESEIG”

Os jovens ao longo do seu percurso escolar têm aspirações e expetativas elevadas quanto ao valor de empregabilidade dos diplomas a que tiveram acesso em todos os graus de ensino. Contudo, no recente contexto de crise económica, essas aspirações e expetativas socialmente nutridas pela escola e pela família têm sido em grande medida frustradas pelas crescentes dificuldades que os jovens portugueses de hoje têm vivido nos seus processos de inserção profissional. A nível individual, um jovem que passe um longo período inativo tem grandes probabilidades de sofrer de baixa autoestima, exclusão social ou de um “wage scar”, isto é, de no futuro ter um rendimento abaixo do rendimento médio de pessoas com formação e experiência equivalentes além de desenvolverem uma atitude passiva e falta de participação social, o que no longo prazo acaba por ter implicações negativas para a sociedade como um todo. Conscientes desta realidade e sabendo que as incubadoras de negócios podem transmitir confiança à comunidade financeira e apoiar as startups, promovendo uma cultura de empreendedorismo e agindo como um catalisador para o desenvolvimento de estruturas de suporte de negócios mais amplas, partimos para o estudo da incubação de negócios com o intuito de traçar um plano estratégico para a Escola Superior de Estudos Industriais e de Gestão (ESEIG) que permitisse desenvolver a cultura empreendedora da sua comunidade e por esta via dar o seu contributo para a resolução da crise económica que o país atravessa. Começamos por fazer um enquadramento teórico da incubação de negócios e rapidamente percebemos que, sendo a ESEIG uma instituição de ensino superior, era importante incluir no estudo os conceitos de empreendedorismo e inovação e perceber ao nível teórico como funciona a relação Universidade-Empresa. De seguida, fomos para o “terreno” e percebemos que a solução para este desafio passaria por capacitar os alunos da ESEIG com as competências empresariais e empreendedoras necessárias para o desenvolvimento de qualquer empreendimento autonomamente. Faltava agora perceber qual a melhor forma de concretizar este ambicioso objetivo. Após um pouco mais de estudo, percebemos que, a paixão está no centro de empreendedorismo juntamente com outras dimensões afetivas e emocionais e pode estimular a criatividade e o reconhecimento de novos padrões de informação fundamental para a descoberta e exploração de oportunidades promissoras. Por sua vez, a alegria local (escolas, cidades, regiões, países) está associada a uma maior atividade empreendedora, o humor e sentimentos positivos, bem como a satisfação de vida geram efeitos benéficos, como melhor desempenho nas tarefas e produtividade, evolução na carreira e sucesso pessoal e maior propensão para assumir riscos. Percebemos então que é necessário desenvolver uma cultura de positividade, pelo que, sugerimos a implementação do novo quadro conceptual PROSPER (Positivity; Relationships; Outcomes; Strengths; Purpose; Engagement; Resilience) que tem o potencial de ser usado como uma ferramenta organizacional para a implementação dos sete principais componentes de bem-estar. Cientes de que o objetivo final é aumentar a intenção empreendedora dos estudantes, bem como o número efetivo de empreendedores, definimos como objetivos, promover o valor do empreendedorismo na criação de oportunidades e no desenvolvimento das competências dos estudantes (Engaging), fornecer aos estudantes oportunidades de aprendizagem empresarial (Empowering) e apoiar os estudantes na criação e no desenvolvimento de negócios (Equipping). Neste sentido, sugerimos diversas ações que materializam estes objetivos. Para finalizar, utilizamos um Lean Canvas com o intuito de concretizar a nossa proposta estratégica para ESEIG, que culmina com a criação do Empowering Lab ESEIG.

Verification of analog circuits in power-down mode

Dissertação para obtenção do Grau de Mestre em Engenharia Eletrotécnica e Computadores

A distributed platform for the volunteer execution of workflows on a local area network

Thesis submitted in fulfilment of the requirements for the Degree of Master of Science in Computer Science

Avaluació d’un nou protocol MAC per IEEE 802.11 en un entorn multicel·lular exterior

Estudi realitzat a partir d’una estada al laboratori LSR (Logiciels, Systèmes, Réseaux) – IMAG a Grenoble, França, entre els mesos de setembre del 2005 i febrer del 2006. El grup de recerca Drakkar d’aquest laboratori va desenvolupar un nou mecanisme d’accés al medi per a xarxes d’àrea local sense fils (WLAN) anomenat Idle Sense. S’ha avaluat aquest mecanisme en entorns cel·lulars i s’ha comparat del seu comportament amb l’estàndard IEEE 802.11 DCF mitjançant la implementació en un simulador. En els entorns cel·lulars es troben condicions de transmissió molt allunyades de les ideals, i de les analitzades fins al moment, que consisteixen en escenaris formats per una única cel·la aïllada. Per aquest motiu, primer s’ha estudiat els mecanismes d’accés al medi d’Idle Sense en una cel·la i en condicions de transmissió adverses. Després, s’ha estudiat en entorns multicel·lulars, on les comunicacions entre estacions es veuen influenciades pel problema de solapament de cel·les i per les interferències provocades per les transmissions d’estacions d’altres cel·les. També s’ha comparat els resultats obtinguts amb el comportament d’IEEE 802.11 DCF i d’altres propostes de millora: Asymptotically Optimal Backoff (AOB) i Slow Decrease. Finalment, s’ha realitzat una modificació sobre Idle Sense, que s’ha anomenat Weighted Idle Sense, que resulta més adecuat per a treballar en xarxes d’àrea local sense fils en mode infraestructura.

Evolution of insulin sensitivity and its variability in out-of-hospital cardiac arrest (OHCA) patients treated with hypothermia.

INTRODUCTION: Therapeutic hypothermia (TH) is often used to treat out-of-hospital cardiac arrest (OHCA) patients who also often simultaneously receive insulin for stress-induced hyperglycaemia. However, the impact of TH on systemic metabolism and insulin resistance in critical illness is unknown. This study analyses the impact of TH on metabolism, including the evolution of insulin sensitivity (SI) and its variability, in patients with coma after OHCA. METHODS: This study uses a clinically validated, model-based measure of SI. Insulin sensitivity was identified hourly using retrospective data from 200 post-cardiac arrest patients (8,522 hours) treated with TH, shortly after admission to the intensive care unit (ICU). Blood glucose and body temperature readings were taken every one to two hours. Data were divided into three periods: 1) cool (T <35°C); 2) an idle period of two hours as normothermia was re-established; and 3) warm (T >37°C). A maximum of 24 hours each for the cool and warm periods was considered. The impact of each condition on SI is analysed per cohort and per patient for both level and hour-to-hour variability, between periods and in six-hour blocks. RESULTS: Cohort and per-patient median SI levels increase consistently by 35% to 70% and 26% to 59% (P <0.001) respectively from cool to warm. Conversely, cohort and per-patient SI variability decreased by 11.1% to 33.6% (P <0.001) for the first 12 hours of treatment. However, SI variability increases between the 18th and 30th hours over the cool to warm transition, before continuing to decrease afterward. CONCLUSIONS: OCHA patients treated with TH have significantly lower and more variable SI during the cool period, compared to the later warm period. As treatment continues, SI level rises, and variability decreases consistently except for a large, significant increase during the cool to warm transition. These results demonstrate increased resistance to insulin during mild induced hypothermia. Our study might have important implications for glycaemic control during targeted temperature management.

Money Cycles

Operating overheads are widespread and lead to concentrated bursts of activity. To transfer resources between active and idle spells, agents demand financial assets. Futures contracts and lotteries are unsuitable, as they have substantial overheads of their own.We show that money – under efficient monetary policy – is a liquid asset that leads to efficient allocations. Under all other policies, agents follow inefficient “money cycle” patterns of saving, activity, and inactivity. Agents spend their money too quickly – a “hot potato effect of inflation”. We show that inflation can stimulate inefficiently high aggregate output.

Role of genetic and social factors in modulating the efficiency of division of labour in social insects

Summary : Division of labour is one of the most fascinating aspects of social insects. The efficient allocation of individuals to a multitude of different tasks requires a dynamic adjustment in response to the demands of a changing environment. A considerable number of theoretical models have focussed on identifying the mechanisms allowing colonies to perform efficient task allocation. The large majority of these models are built on the observation that individuals in a colony vary in their propensity (response threshold) to perform different tasks. Since individuals with a low threshold for a given task stimulus are more likely to perform that task than individuals with a high threshold, infra-colony variation in individual thresholds results in colony division of labour. These theoretical models suggest that variation in individual thresholds is affected by the within-colony genetic diversity. However, the models have not considered the genetic architecture underlying the individual response thresholds. This is important because a better understanding of division of labour requires determining how genotypic variation relates to differences in infra-colony response threshold distributions. In this thesis, we investigated the combined influence on task allocation efficiency of both, the within-colony genetic variability (stemming from variation in the number of matings by queens) and the number of genes underlying the response thresholds. We used an agent-based simulator to model a situation where workers in a colony had to perform either a regulatory task (where the amount of a given food item in the colony had to be maintained within predefined bounds) or a foraging task (where the quantity of a second type of food item collected had to be the highest possible). The performance of colonies was a function of workers being able to perform both tasks efficiently. To study the effect of within-colony genetic diversity, we compared the performance of colonies with queens mated with varying number of males. On the other hand, the influence of genetic architecture was investigated by varying the number of loci underlying the response threshold of the foraging and regulatory tasks. Artificial evolution was used to evolve the allelic values underlying the tasks thresholds. The results revealed that multiple matings always translated into higher colony performance, whatever the number of loci encoding the thresholds of the regulatory and foraging tasks. However, the beneficial effect of additional matings was particularly important when the genetic architecture of queens comprised one or few genes for the foraging task's threshold. By contrast, higher number of genes encoding the foraging task reduced colony performance with the detrimental effect being stronger when queens had mated with several males. Finally, the number of genes determining the threshold for the regulatory task only had a minor but incremental effect on colony performance. Overall, our numerical experiments indicate the importance of considering the effects of queen mating frequency, genetic architecture underlying task thresholds and the type of task performed when investigating the factors regulating the efficiency of division of labour in social insects. In this thesis we also investigate the task allocation efficiency of response threshold models and compare them with neural networks. While response threshold models are widely used amongst theoretical biologists interested in division of labour in social insects, our simulation reveals that they perform poorly compared to a neural network model. A major shortcoming of response thresholds is that they fail at one of the most crucial requirement of division of labour, the ability of individuals in a colony to efficiently switch between tasks under varying environmental conditions. Moreover, the intrinsic properties of the threshold models are that they lead to a large proportion of idle workers. Our results highlight these limitations of the response threshold models and provide an adequate substitute. Altogether, the experiments presented in this thesis provide novel contributions to the understanding of how division of labour in social insects is influenced by queen mating frequency and genetic architecture underlying worker task thresholds. Moreover, the thesis also provides a novel model of the mechanisms underlying worker task allocation that maybe more generally applicable than the widely used response threshold models. Resumé : La répartition du travail est l'un des aspects les plus fascinants des insectes vivant en société. Une allocation efficace de la multitude de différentes tâches entre individus demande un ajustement dynamique afin de répondre aux exigences d'un environnement en constant changement. Un nombre considérable de modèles théoriques se sont attachés à identifier les mécanismes permettant aux colonies d'effectuer une allocation efficace des tâches. La grande majorité des ces modèles sont basés sur le constat que les individus d'une même colonie diffèrent dans leur propension (inclination à répondre) à effectuer différentes tâches. Etant donné que les individus possédant un faible seuil de réponse à un stimulus associé à une tâche donnée sont plus disposés à effectuer cette dernière que les individus possédant un seuil élevé, les différences de seuils parmi les individus vivant au sein d'une même colonie mènent à une certaine répartition du travail. Ces modèles théoriques suggèrent que la variation des seuils des individus est affectée par la diversité génétique propre à la colonie. Cependant, ces modèles ne considèrent pas la structure génétique qui est à la base des seuils de réponse individuels. Ceci est très important car une meilleure compréhension de la répartition du travail requière de déterminer de quelle manière les variations génotypiques sont associées aux différentes distributions de seuils de réponse à l'intérieur d'une même colonie. Dans le cadre de cette thèse, nous étudions l'influence combinée de la variabilité génétique d'une colonie (qui prend son origine dans la variation du nombre d'accouplements des reines) avec le nombre de gènes supportant les seuils de réponse, vis-à-vis de la performance de l'allocation des tâches. Nous avons utilisé un simulateur basé sur des agents pour modéliser une situation où les travailleurs d'une colonie devaient accomplir une tâche de régulation (1a quantité d'une nourriture donnée doit être maintenue à l'intérieur d'un certain intervalle) ou une tâche de recherche de nourriture (la quantité d'une certaine nourriture doit être accumulée autant que possible). Dans ce contexte, 'efficacité des colonies tient en partie des travailleurs qui sont capable d'effectuer les deux tâches de manière efficace. Pour étudier l'effet de la diversité génétique d'une colonie, nous comparons l'efficacité des colonies possédant des reines qui s'accouplent avec un nombre variant de mâles. D'autre part, l'influence de la structure génétique a été étudiée en variant le nombre de loci à la base du seuil de réponse des deux tâches de régulation et de recherche de nourriture. Une évolution artificielle a été réalisée pour évoluer les valeurs alléliques qui sont à l'origine de ces seuils de réponse. Les résultats ont révélé que de nombreux accouplements se traduisaient toujours en une plus grande performance de la colonie, quelque soit le nombre de loci encodant les seuils des tâches de régulation et de recherche de nourriture. Cependant, les effets bénéfiques d'accouplements additionnels ont été particulièrement important lorsque la structure génétique des reines comprenait un ou quelques gènes pour le seuil de réponse pour la tâche de recherche de nourriture. D'autre part, un nombre plus élevé de gènes encodant la tâche de recherche de nourriture a diminué la performance de la colonie avec un effet nuisible d'autant plus fort lorsque les reines s'accouplent avec plusieurs mâles. Finalement, le nombre de gènes déterminant le seuil pour la tâche de régulation eu seulement un effet mineur mais incrémental sur la performance de la colonie. Pour conclure, nos expériences numériques révèlent l'importance de considérer les effets associés à la fréquence d'accouplement des reines, à la structure génétique qui est à l'origine des seuils de réponse pour les tâches ainsi qu'au type de tâche effectué au moment d'étudier les facteurs qui régulent l'efficacité de la répartition du travail chez les insectes vivant en communauté. Dans cette thèse, nous étudions l'efficacité de l'allocation des tâches des modèles prenant en compte des seuils de réponses, et les comparons à des réseaux de neurones. Alors que les modèles basés sur des seuils de réponse sont couramment utilisés parmi les biologistes intéressés par la répartition des tâches chez les insectes vivant en société, notre simulation montre qu'ils se révèlent peu efficace comparé à un modèle faisant usage de réseaux de neurones. Un point faible majeur des seuils de réponse est qu'ils échouent sur un point crucial nécessaire à la répartition des tâches, la capacité des individus d'une colonie à commuter efficacement entre des tâches soumises à des conditions environnementales changeantes. De plus, les propriétés intrinsèques des modèles basés sur l'utilisation de seuils conduisent à de larges populations de travailleurs inactifs. Nos résultats mettent en évidence les limites de ces modèles basés sur l'utilisation de seuils et fournissent un substitut adéquat. Ensemble, les expériences présentées dans cette thèse fournissent de nouvelles contributions pour comprendre comment la répartition du travail chez les insectes vivant en société est influencée par la fréquence d'accouplements des reines ainsi que par la structure génétique qui est à l'origine, pour un travailleur, du seuil de réponse pour une tâche. De plus, cette thèse fournit également un nouveau modèle décrivant les mécanismes qui sont à l'origine de l'allocation des tâches entre travailleurs, mécanismes qui peuvent être appliqué de manière plus générale que ceux couramment utilisés et basés sur des seuils de réponse.