京都大学 / 新制・課程博士 / 博士(情報学) / 甲第24980号 / 情博第853号 / 新制||情||143(附属図書館) / 京都大学大学院情報学研究科システム科学専攻 / (主査)教授 田中 利幸, 教授 下平 英寿, 准教授 本多 淳也 / 学位規則第4条第1項該当 / Doctor of Informatics / Kyoto University / DFAM

This cross-departmental initiative bridges Business and IT to establish a nexus for technological innovation, academic research, and tangible retail application, particularly in the realms of Robotics, Sensor Technology, Service Technology, Data Science driven by Artificial Intelligence within a retail setting. Conceived as both a living lab and an innovation hub, this project embodies a fully-operational retail store of the future, furnished with cutting-edge technologies and resourced by experts across varied disciplines and research domains. The overarching objective centers on facilitating knowledge generation and transfer among students, faculty, retailers, and technology companies. By doing so, the lab endeavors to foster collaborative solutions to aptly address the pressing challenges currently being faced by the retail industry, paving the way for sustainable, innovative developments for the future.

No description available.

The balance of the supply of renewable energy sources with electricity demand will become increasingly difficult with further penetration of renewable energy sources. Traditionally, large stationary batteries have been used to store renewable energy in excess of electricity demand and dispatch the stored energy to meet future electricity demand. Cool thermal energy storage is a feasible renewable energy balancing solution that has economic and environmental advantages over utility scale stationary lead-acid batteries. Two technologies, ice harvesters and internal-melt ice-on-coil cool thermal energy storage, have the capability to store excess renewable energy and use the energy to displace electricity used for building cooling systems. When implemented by a utility, cool thermal energy storage can replace large utility scale batteries for renewable energy balancing in utility regions with high renewable energy penetration. The California Independent System Operator (CAISO) region and the Electric Reliability Council of Texas (ERCOT) are utility regions with large solar and wind resources, respectively, that can benefit from installation of cool thermal energy storage systems for renewable energy balancing. With proper scheduling of energy dispatched from cool thermal energy storage, these technologies can be effective in displacing peak power capacity for the region, in displacing traditional building cooling equipment, and in recovering renewable energy that would otherwise be curtailed. / Master of Science

The existence of pathwise stationary solutions of this stochastic partial differential equation (SPDE, for abbreviation) is demonstrated. In Part II, a connection between certain kind of state constrained controlled Forward-Backward Stochastic Differential Equations (FBSDEs) and Hamilton-Jacobi-Bellman equations (HJB equations) are demonstrated. The special case provides a probabilistic representation of some geometric flows, including the mean curvature flows. Part II includes also a probabilistic proof of the finite time existence of the mean curvature flows.

This thesis aims to contribute towards a better understanding of the optimal coordination of monetary and fiscal policy in complex economic environments. We analyze the characteristics of optimal dynamics in an economy in which neither prices nor wages adjust instantaneously and lump-sum taxes are unavailable as a source of government finance. We then propose that monetary and fiscal policy should be coordinated to satisfy a pair of simple `specific targeting rules', a rule for inflation and a rule for the growth of real wages. We show that such simple rule-based conduct of policy can do remarkably well in replicating the dynamics of the economy under optimal policy following a given shock. We study optimal policy coordination in the context of an economy where a constant proportion of agents lacks access to the asset market. We find that the optimal economy moves along an analogue of a conventional inflation-output variance frontier in response to a government spending shock, as the population share of non-Ricardian agents rises. The optimal output response rises, while inflation volatility subsides. There is little evidence that increased government spending would crowd in private consumption in the optimal economy. We investigate the optimal properties and wider implications of a macroeconomic policy framework aimed at meeting an unconditional debt target. We show that the best stationary policy in terms of an unconditional welfare measure is characterized by highly persistent debt dynamics, less history-dependence in the conduct of policy, less reliance on debt finance and more short-term volatility following a government spending shock compared with the non-stationary `timelessly optimal' plan.

Ce travail présente des modèles d'écoulement en temps continu de flux de trafic routier. En premier lieu, il s'agit de modèles microscopiques de poursuite. Un modèle par systèmes d'équations différentielles couplées est proposé, basé sur le temps inter-véhiculaire. Ce modèle intègre un temps de réaction et des possibilités d'anticipation pour chaque véhicule. Les paramètres sont estimés par maximum de vraisemblance dans un modèle statistique à deux niveaux. Des simulations permettent de caractériser le comportement d'une file de véhicules. Dans une approche stochastique, un modèle d'évolution de la distance inter-véhiculaire est étudié à l'aide du processus Markovien de saut zero-range. L'introduction d'un temps de réaction tend à produire des ondes cinématiques. D'autre part, un modèle d'écoulement de trafic par le processus Markovien de saut des misanthropes est proposé. Il s'agit d'une modélisation au niveau mésoscopique, adaptée à la simulation de flux de trafic sur un réseau / This work presents different continuous-time traffic flow models. Microscopic models are considered first. A model by coupled differential equation system is proposed, based on the time gap. It incorporates a reaction time parameter and some anticipation possibilities, for each vehicle. The parameters are estimated by maximum likelihood over a two-level statistical model. Simulations allow to characterise the behaviour of a vehicles line. In a stochastic approach, a model of the distance gap evolution is studied with a zero-range process. The introduction of a reaction time parameter produces kinematics waves. On the other hand, traffic flow model by a misanthropes process is proposed. It is a mesoscopic approach, adapted to the simulation of traffic flow on a network

No description available.

This thesis is about the intelligent compression of large 3D point cloud datasets. The non-parametric method that we describe simultaneously generates a continuous representation of the workspace surfaces from discrete laser samples and decimates the dataset, retaining only locally salient samples. Our framework attains decimation factors in excess of two orders of magnitude without significant degradation in fidelity. The work presented here has a specific focus on gathering and processing laser measurements taken from a moving platform in outdoor workspaces. We introduce a somewhat unusual parameterisation of the problem and look to Gaussian Processes as the fundamental machinery in our processing pipeline. Our system compresses laser data in a fashion that is naturally sympathetic to the underlying structure and complexity of the workspace. In geometrically complex areas, compression is lower than that in geometrically bland areas. We focus on this property in detail and it leads us well beyond a simple application of non-parametric techniques. Indeed, towards the end of the thesis we develop a non-stationary GP framework whereby our regression model adapts to the local workspace complexity. Throughout we construct our algorithms so that they may be efficiently implemented. In addition, we present a detailed analysis of the proposed system and investigate model parameters, metric errors and data compression rates. Finally, we note that this work is predicated on a substantial amount of robotics engineering which has allowed us to produce a high quality, peer reviewed, dataset - the first of its kind.

La première augmentation de la longévité en laboratoire fût observée à la suite d’une intervention nutritionnelle consistant en une réduction de l’apport alimentaire chez le rat. Plus tard, ce phénomène a été reproduit dans de très nombreuses espèces et référé en tant que restriction calorique. Le développement des techniques de biologie moléculaire moderne a permis de montrer dans des organismes modèles simples que cette flexibilité du processus de vieillissement était régulée par des facteurs génétiques. De fait, plusieurs mécanismes cellulaires ont alors pu être identifiés comme responsables de ce contrôle du vieillissement. Ces voies de régulation ont révélées être conservées entre les espèces, depuis les levures jusqu’aux organismes multicellulaires tels que le nématode, la mouche ou la souris, suggérant l’existence d’un programme universel de vieillissement dans le vivant. La levure s’est avéré à plusieurs reprises être un modèle puissant et fiable pour la découverte de gènes impliqués dans ce phénomène. Mon étude a consisté au développement d’un nouveau modèle unicellulaire d’étude du vieillissement à travers l’espèce Schizosaccharomyces pombe appelée aussi levure à fission. La première étape de mon travail a montré que les voies de détection des nutriments gouvernées par la sérine/thréonine protéine kinase A (Pka1) et la sérine/thréonine kinase Sck2 contrôlent le vieillissement chronologique de ces cellules comme il était connu dans la levure Saccharomyces cerevisiae. Ceci permit de valider l’utilisation de la levure à fission pour l’étude du vieillissement. Ensuite, nous avons analysé plus en détail l’effet pro-vieillissement du glucose en étudiant le rôle de sa détection par le récepteur membranaire Git3 couplé à la protéine G (Gpa2) en amont de la kinase Pka1. La perte du signal du glucose par la délétion de Git3 imite partiellement l’effet d’augmentation de longévité obtenu par baisse de la concentration en glucose dans le milieu. De plus, l’effet néfaste du signal du glucose est maintenu en absence de tout métabolisme du glucose suite à la mutation des hexokinases, premières enzymes de la glycolyse. L’ensemble de ces résultats suggèrent que la signalisation du glucose est prédominante sur son métabolisme pour son effet pro-vieillissement. D’autre part, à la fois la suppression de cette signalisation et la baisse de niveau de glucose disponible allongent la durée de vie en corrélation avec une augmentation de la résistance au stress, une hausse d’activité mitochondriale et une baisse de production de radicaux libres. Finalement, le criblage d’une banque de surexpression d’ADNc a permis d’identifier plusieurs gènes candidats responsables de ces effets en aval de la voie de signalisation Git3/PKA. La recherche sur les mécanismes moléculaires du vieillissement propose une nouvelle approche, un nouvel angle de vue, pour la compréhension des fonctions cellulaires et promet d’apporter de précieuses clefs pour mieux comprendre certaines maladies. En effet, le vieillissement est la première cause d’apparition de nombreuses affections comme les cancers, les maladies cardiovasculaires et métaboliques ou les maladies neurodégénératives tels que les syndromes d’Alzheimer et de Parkinson. / The first increase in life span due to man’s intervention was obtained with rats subjected to a diet reduced in calorie intake. Later, this phenomenon was repeated with many other species and referred as diet restriction or calorie restriction. The development of modern Molecular Biology approaches and the use of simple model organisms demonstrated that the rate of aging was regulated by genetic traits. Indeed, several cellular mechanisms were identified as responsible for the control of aging. These regulatory pathways appear to be conserved throughout species, from yeast to multicellular organisms like nematode, fly and mice, thus suggesting the existence of a universal program of aging. Yeast proved several times to be a powerful and reliable model for discovering genes involved in the regulation of aging. My study consisted in developing Schizosaccharomyces pombe (also called fission yeast) as a new unicellular model to study aging. The first step of my work was to show that pathways of nutrient detection through kinases involving Pka1 and Sck2 control chronological aging in S. pombe, as it was previously demonstrated in Saccharomyces cerevisiae. This first work validated the use of fission yeast for the study of aging. Subsequently, we analysed in more detail the pro-aging effect of glucose focusing on the role of its signalling through the G-protein Gpa2-coupled membrane receptor Git3, which acts upstream of Pka1. The loss of the glucose signal due to deletion of Git3 mimics partially the effect of increasing longevity by reducing glucose in the medium. Moreover, detrimental effects of glucose signal are maintained in absence of sugar metabolism following loss of hexokinases, the first enzymes of glycolysis. Together, these results suggest that the pro-aging effects of glucose signalling are predominant over those due to metabolism of this sugar. Moreover, both obliteration of this signalling pathway and decrease of glucose availability extend life span, and correlate with an increase in stress resistance, in mitochondrial activity and a lower production of free radicals. Finally, screening a cDNA-overexpression library allowed us to identify several genes candidates responsible for the effects on longevity downstream of Git3/Pka1. Research in the molecular mechanisms of aging propose holds the promise to bring precious clues as to this mysterious processes affecting all living creatures, and paves the way to unravel the underlying causes of many human diseases. Indeed, aging is the first cause of numerous late-onset pathologies including cancers, cardiovascular diseases or neurodegenerative diseases like Alzheimer and Parkinson syndromes.